annotate env/lib/python3.9/site-packages/boto/dynamodb2/table.py @ 0:4f3585e2f14b draft default tip

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author shellac
date Mon, 22 Mar 2021 18:12:50 +0000
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1 import boto
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2 from boto.dynamodb2 import exceptions
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3 from boto.dynamodb2.fields import (HashKey, RangeKey,
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4 AllIndex, KeysOnlyIndex, IncludeIndex,
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5 GlobalAllIndex, GlobalKeysOnlyIndex,
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6 GlobalIncludeIndex)
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7 from boto.dynamodb2.items import Item
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8 from boto.dynamodb2.layer1 import DynamoDBConnection
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9 from boto.dynamodb2.results import ResultSet, BatchGetResultSet
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10 from boto.dynamodb2.types import (NonBooleanDynamizer, Dynamizer, FILTER_OPERATORS,
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11 QUERY_OPERATORS, STRING)
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12 from boto.exception import JSONResponseError
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13
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14
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15 class Table(object):
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16 """
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17 Interacts & models the behavior of a DynamoDB table.
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18
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19 The ``Table`` object represents a set (or rough categorization) of
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20 records within DynamoDB. The important part is that all records within the
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21 table, while largely-schema-free, share the same schema & are essentially
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22 namespaced for use in your application. For example, you might have a
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23 ``users`` table or a ``forums`` table.
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24 """
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25 max_batch_get = 100
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26
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27 _PROJECTION_TYPE_TO_INDEX = dict(
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28 global_indexes=dict(
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29 ALL=GlobalAllIndex,
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30 KEYS_ONLY=GlobalKeysOnlyIndex,
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31 INCLUDE=GlobalIncludeIndex,
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32 ), local_indexes=dict(
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33 ALL=AllIndex,
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34 KEYS_ONLY=KeysOnlyIndex,
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35 INCLUDE=IncludeIndex,
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36 )
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37 )
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38
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39 def __init__(self, table_name, schema=None, throughput=None, indexes=None,
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40 global_indexes=None, connection=None):
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41 """
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42 Sets up a new in-memory ``Table``.
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43
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44 This is useful if the table already exists within DynamoDB & you simply
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45 want to use it for additional interactions. The only required parameter
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46 is the ``table_name``. However, under the hood, the object will call
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47 ``describe_table`` to determine the schema/indexes/throughput. You
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48 can avoid this extra call by passing in ``schema`` & ``indexes``.
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49
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50 **IMPORTANT** - If you're creating a new ``Table`` for the first time,
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51 you should use the ``Table.create`` method instead, as it will
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52 persist the table structure to DynamoDB.
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53
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54 Requires a ``table_name`` parameter, which should be a simple string
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55 of the name of the table.
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56
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57 Optionally accepts a ``schema`` parameter, which should be a list of
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58 ``BaseSchemaField`` subclasses representing the desired schema.
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59
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60 Optionally accepts a ``throughput`` parameter, which should be a
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61 dictionary. If provided, it should specify a ``read`` & ``write`` key,
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62 both of which should have an integer value associated with them.
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63
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64 Optionally accepts a ``indexes`` parameter, which should be a list of
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65 ``BaseIndexField`` subclasses representing the desired indexes.
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66
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67 Optionally accepts a ``global_indexes`` parameter, which should be a
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68 list of ``GlobalBaseIndexField`` subclasses representing the desired
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69 indexes.
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70
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71 Optionally accepts a ``connection`` parameter, which should be a
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72 ``DynamoDBConnection`` instance (or subclass). This is primarily useful
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73 for specifying alternate connection parameters.
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74
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75 Example::
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76
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77 # The simple, it-already-exists case.
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78 >>> conn = Table('users')
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79
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80 # The full, minimum-extra-calls case.
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81 >>> from boto import dynamodb2
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82 >>> users = Table('users', schema=[
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83 ... HashKey('username'),
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84 ... RangeKey('date_joined', data_type=NUMBER)
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85 ... ], throughput={
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86 ... 'read':20,
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87 ... 'write': 10,
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88 ... }, indexes=[
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89 ... KeysOnlyIndex('MostRecentlyJoined', parts=[
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90 ... HashKey('username')
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91 ... RangeKey('date_joined')
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92 ... ]),
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93 ... ], global_indexes=[
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94 ... GlobalAllIndex('UsersByZipcode', parts=[
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95 ... HashKey('zipcode'),
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96 ... RangeKey('username'),
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97 ... ],
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98 ... throughput={
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99 ... 'read':10,
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100 ... 'write':10,
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101 ... }),
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102 ... ], connection=dynamodb2.connect_to_region('us-west-2',
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103 ... aws_access_key_id='key',
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104 ... aws_secret_access_key='key',
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105 ... ))
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106
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107 """
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108 self.table_name = table_name
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109 self.connection = connection
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110 self.throughput = {
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111 'read': 5,
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112 'write': 5,
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113 }
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114 self.schema = schema
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115 self.indexes = indexes
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116 self.global_indexes = global_indexes
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117
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118 if self.connection is None:
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119 self.connection = DynamoDBConnection()
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120
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121 if throughput is not None:
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122 self.throughput = throughput
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123
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124 self._dynamizer = NonBooleanDynamizer()
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125
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126 def use_boolean(self):
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127 self._dynamizer = Dynamizer()
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128
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129 @classmethod
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130 def create(cls, table_name, schema, throughput=None, indexes=None,
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131 global_indexes=None, connection=None):
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132 """
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133 Creates a new table in DynamoDB & returns an in-memory ``Table`` object.
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134
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135 This will setup a brand new table within DynamoDB. The ``table_name``
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136 must be unique for your AWS account. The ``schema`` is also required
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137 to define the key structure of the table.
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138
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139 **IMPORTANT** - You should consider the usage pattern of your table
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140 up-front, as the schema can **NOT** be modified once the table is
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141 created, requiring the creation of a new table & migrating the data
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142 should you wish to revise it.
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143
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144 **IMPORTANT** - If the table already exists in DynamoDB, additional
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145 calls to this method will result in an error. If you just need
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146 a ``Table`` object to interact with the existing table, you should
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147 just initialize a new ``Table`` object, which requires only the
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148 ``table_name``.
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149
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150 Requires a ``table_name`` parameter, which should be a simple string
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151 of the name of the table.
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152
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153 Requires a ``schema`` parameter, which should be a list of
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154 ``BaseSchemaField`` subclasses representing the desired schema.
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155
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156 Optionally accepts a ``throughput`` parameter, which should be a
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157 dictionary. If provided, it should specify a ``read`` & ``write`` key,
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158 both of which should have an integer value associated with them.
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159
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160 Optionally accepts a ``indexes`` parameter, which should be a list of
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161 ``BaseIndexField`` subclasses representing the desired indexes.
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162
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163 Optionally accepts a ``global_indexes`` parameter, which should be a
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164 list of ``GlobalBaseIndexField`` subclasses representing the desired
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165 indexes.
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166
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167 Optionally accepts a ``connection`` parameter, which should be a
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168 ``DynamoDBConnection`` instance (or subclass). This is primarily useful
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169 for specifying alternate connection parameters.
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170
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171 Example::
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172
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173 >>> users = Table.create('users', schema=[
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174 ... HashKey('username'),
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175 ... RangeKey('date_joined', data_type=NUMBER)
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176 ... ], throughput={
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177 ... 'read':20,
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178 ... 'write': 10,
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179 ... }, indexes=[
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180 ... KeysOnlyIndex('MostRecentlyJoined', parts=[
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181 ... HashKey('username'),
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182 ... RangeKey('date_joined'),
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183 ... ]), global_indexes=[
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184 ... GlobalAllIndex('UsersByZipcode', parts=[
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185 ... HashKey('zipcode'),
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186 ... RangeKey('username'),
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187 ... ],
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188 ... throughput={
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189 ... 'read':10,
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190 ... 'write':10,
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191 ... }),
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192 ... ])
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193
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194 """
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195 table = cls(table_name=table_name, connection=connection)
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196 table.schema = schema
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197
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198 if throughput is not None:
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199 table.throughput = throughput
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200
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201 if indexes is not None:
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202 table.indexes = indexes
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203
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204 if global_indexes is not None:
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205 table.global_indexes = global_indexes
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206
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207 # Prep the schema.
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208 raw_schema = []
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209 attr_defs = []
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210 seen_attrs = set()
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211
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212 for field in table.schema:
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213 raw_schema.append(field.schema())
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214 # Build the attributes off what we know.
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215 seen_attrs.add(field.name)
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216 attr_defs.append(field.definition())
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217
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218 raw_throughput = {
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219 'ReadCapacityUnits': int(table.throughput['read']),
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220 'WriteCapacityUnits': int(table.throughput['write']),
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221 }
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222 kwargs = {}
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223
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224 kwarg_map = {
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225 'indexes': 'local_secondary_indexes',
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226 'global_indexes': 'global_secondary_indexes',
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227 }
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228 for index_attr in ('indexes', 'global_indexes'):
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229 table_indexes = getattr(table, index_attr)
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230 if table_indexes:
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231 raw_indexes = []
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232 for index_field in table_indexes:
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233 raw_indexes.append(index_field.schema())
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234 # Make sure all attributes specified in the indexes are
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235 # added to the definition
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236 for field in index_field.parts:
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237 if field.name not in seen_attrs:
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238 seen_attrs.add(field.name)
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239 attr_defs.append(field.definition())
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240
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241 kwargs[kwarg_map[index_attr]] = raw_indexes
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242
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243 table.connection.create_table(
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244 table_name=table.table_name,
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245 attribute_definitions=attr_defs,
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246 key_schema=raw_schema,
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247 provisioned_throughput=raw_throughput,
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248 **kwargs
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249 )
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250 return table
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251
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252 def _introspect_schema(self, raw_schema, raw_attributes=None):
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253 """
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254 Given a raw schema structure back from a DynamoDB response, parse
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255 out & build the high-level Python objects that represent them.
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256 """
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257 schema = []
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258 sane_attributes = {}
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259
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260 if raw_attributes:
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261 for field in raw_attributes:
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262 sane_attributes[field['AttributeName']] = field['AttributeType']
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263
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264 for field in raw_schema:
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265 data_type = sane_attributes.get(field['AttributeName'], STRING)
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266
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267 if field['KeyType'] == 'HASH':
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268 schema.append(
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269 HashKey(field['AttributeName'], data_type=data_type)
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270 )
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271 elif field['KeyType'] == 'RANGE':
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272 schema.append(
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273 RangeKey(field['AttributeName'], data_type=data_type)
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274 )
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275 else:
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276 raise exceptions.UnknownSchemaFieldError(
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277 "%s was seen, but is unknown. Please report this at "
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278 "https://github.com/boto/boto/issues." % field['KeyType']
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279 )
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280
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281 return schema
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282
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283 def _introspect_all_indexes(self, raw_indexes, map_indexes_projection):
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284 """
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285 Given a raw index/global index structure back from a DynamoDB response,
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286 parse out & build the high-level Python objects that represent them.
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287 """
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288 indexes = []
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289
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290 for field in raw_indexes:
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291 index_klass = map_indexes_projection.get('ALL')
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292 kwargs = {
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293 'parts': []
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294 }
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295
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296 if field['Projection']['ProjectionType'] == 'ALL':
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297 index_klass = map_indexes_projection.get('ALL')
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298 elif field['Projection']['ProjectionType'] == 'KEYS_ONLY':
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299 index_klass = map_indexes_projection.get('KEYS_ONLY')
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300 elif field['Projection']['ProjectionType'] == 'INCLUDE':
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301 index_klass = map_indexes_projection.get('INCLUDE')
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302 kwargs['includes'] = field['Projection']['NonKeyAttributes']
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303 else:
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304 raise exceptions.UnknownIndexFieldError(
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305 "%s was seen, but is unknown. Please report this at "
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306 "https://github.com/boto/boto/issues." % \
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307 field['Projection']['ProjectionType']
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308 )
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309
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310 name = field['IndexName']
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311 kwargs['parts'] = self._introspect_schema(field['KeySchema'], None)
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312 indexes.append(index_klass(name, **kwargs))
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313
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314 return indexes
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315
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316 def _introspect_indexes(self, raw_indexes):
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317 """
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318 Given a raw index structure back from a DynamoDB response, parse
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319 out & build the high-level Python objects that represent them.
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320 """
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321 return self._introspect_all_indexes(
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322 raw_indexes, self._PROJECTION_TYPE_TO_INDEX.get('local_indexes'))
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323
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324 def _introspect_global_indexes(self, raw_global_indexes):
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325 """
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326 Given a raw global index structure back from a DynamoDB response, parse
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327 out & build the high-level Python objects that represent them.
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328 """
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329 return self._introspect_all_indexes(
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330 raw_global_indexes,
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331 self._PROJECTION_TYPE_TO_INDEX.get('global_indexes'))
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332
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333 def describe(self):
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334 """
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335 Describes the current structure of the table in DynamoDB.
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336
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337 This information will be used to update the ``schema``, ``indexes``,
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338 ``global_indexes`` and ``throughput`` information on the ``Table``. Some
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339 calls, such as those involving creating keys or querying, will require
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340 this information to be populated.
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341
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342 It also returns the full raw data structure from DynamoDB, in the
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343 event you'd like to parse out additional information (such as the
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344 ``ItemCount`` or usage information).
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345
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346 Example::
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347
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348 >>> users.describe()
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349 {
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350 # Lots of keys here...
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351 }
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352 >>> len(users.schema)
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353 2
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354
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355 """
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356 result = self.connection.describe_table(self.table_name)
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357
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358 # Blindly update throughput, since what's on DynamoDB's end is likely
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359 # more correct.
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360 raw_throughput = result['Table']['ProvisionedThroughput']
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361 self.throughput['read'] = int(raw_throughput['ReadCapacityUnits'])
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362 self.throughput['write'] = int(raw_throughput['WriteCapacityUnits'])
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363
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364 if not self.schema:
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365 # Since we have the data, build the schema.
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366 raw_schema = result['Table'].get('KeySchema', [])
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367 raw_attributes = result['Table'].get('AttributeDefinitions', [])
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368 self.schema = self._introspect_schema(raw_schema, raw_attributes)
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369
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370 if not self.indexes:
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371 # Build the index information as well.
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372 raw_indexes = result['Table'].get('LocalSecondaryIndexes', [])
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373 self.indexes = self._introspect_indexes(raw_indexes)
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374
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375 # Build the global index information as well.
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376 raw_global_indexes = result['Table'].get('GlobalSecondaryIndexes', [])
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377 self.global_indexes = self._introspect_global_indexes(raw_global_indexes)
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378
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379 # This is leaky.
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380 return result
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381
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382 def update(self, throughput=None, global_indexes=None):
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383 """
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384 Updates table attributes and global indexes in DynamoDB.
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385
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386 Optionally accepts a ``throughput`` parameter, which should be a
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387 dictionary. If provided, it should specify a ``read`` & ``write`` key,
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388 both of which should have an integer value associated with them.
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389
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390 Optionally accepts a ``global_indexes`` parameter, which should be a
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391 dictionary. If provided, it should specify the index name, which is also
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392 a dict containing a ``read`` & ``write`` key, both of which
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393 should have an integer value associated with them. If you are writing
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394 new code, please use ``Table.update_global_secondary_index``.
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395
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396 Returns ``True`` on success.
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397
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398 Example::
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399
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400 # For a read-heavier application...
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401 >>> users.update(throughput={
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402 ... 'read': 20,
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403 ... 'write': 10,
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404 ... })
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405 True
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406
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407 # To also update the global index(es) throughput.
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408 >>> users.update(throughput={
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409 ... 'read': 20,
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410 ... 'write': 10,
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411 ... },
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412 ... global_secondary_indexes={
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413 ... 'TheIndexNameHere': {
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414 ... 'read': 15,
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415 ... 'write': 5,
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416 ... }
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417 ... })
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418 True
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419 """
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420
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421 data = None
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422
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423 if throughput:
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424 self.throughput = throughput
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425 data = {
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426 'ReadCapacityUnits': int(self.throughput['read']),
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427 'WriteCapacityUnits': int(self.throughput['write']),
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428 }
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429
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430 gsi_data = None
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431
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432 if global_indexes:
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433 gsi_data = []
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434
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435 for gsi_name, gsi_throughput in global_indexes.items():
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436 gsi_data.append({
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437 "Update": {
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438 "IndexName": gsi_name,
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439 "ProvisionedThroughput": {
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440 "ReadCapacityUnits": int(gsi_throughput['read']),
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441 "WriteCapacityUnits": int(gsi_throughput['write']),
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442 },
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443 },
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444 })
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445
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446 if throughput or global_indexes:
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447 self.connection.update_table(
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448 self.table_name,
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449 provisioned_throughput=data,
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450 global_secondary_index_updates=gsi_data,
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451 )
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452
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453 return True
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454 else:
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455 msg = 'You need to provide either the throughput or the ' \
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456 'global_indexes to update method'
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457 boto.log.error(msg)
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458
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459 return False
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460
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461 def create_global_secondary_index(self, global_index):
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462 """
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463 Creates a global index in DynamoDB after the table has been created.
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464
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465 Requires a ``global_indexes`` parameter, which should be a
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466 ``GlobalBaseIndexField`` subclass representing the desired index.
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467
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468 To update ``global_indexes`` information on the ``Table``, you'll need
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469 to call ``Table.describe``.
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470
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471 Returns ``True`` on success.
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472
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473 Example::
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474
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475 # To create a global index
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476 >>> users.create_global_secondary_index(
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477 ... global_index=GlobalAllIndex(
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478 ... 'TheIndexNameHere', parts=[
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479 ... HashKey('requiredHashkey', data_type=STRING),
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480 ... RangeKey('optionalRangeKey', data_type=STRING)
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481 ... ],
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482 ... throughput={
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483 ... 'read': 2,
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484 ... 'write': 1,
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485 ... })
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486 ... )
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487 True
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488
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489 """
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490
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491 if global_index:
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492 gsi_data = []
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493 gsi_data_attr_def = []
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494
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495 gsi_data.append({
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496 "Create": global_index.schema()
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497 })
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498
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499 for attr_def in global_index.parts:
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500 gsi_data_attr_def.append(attr_def.definition())
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501
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502 self.connection.update_table(
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503 self.table_name,
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504 global_secondary_index_updates=gsi_data,
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505 attribute_definitions=gsi_data_attr_def
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506 )
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507
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508 return True
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509 else:
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510 msg = 'You need to provide the global_index to ' \
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511 'create_global_secondary_index method'
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512 boto.log.error(msg)
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513
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514 return False
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515
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516 def delete_global_secondary_index(self, global_index_name):
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517 """
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518 Deletes a global index in DynamoDB after the table has been created.
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519
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520 Requires a ``global_index_name`` parameter, which should be a simple
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521 string of the name of the global secondary index.
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522
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523 To update ``global_indexes`` information on the ``Table``, you'll need
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524 to call ``Table.describe``.
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525
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526 Returns ``True`` on success.
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527
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528 Example::
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529
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530 # To delete a global index
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531 >>> users.delete_global_secondary_index('TheIndexNameHere')
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532 True
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533
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534 """
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535
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536 if global_index_name:
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537 gsi_data = [
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538 {
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539 "Delete": {
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540 "IndexName": global_index_name
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541 }
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542 }
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543 ]
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544
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545 self.connection.update_table(
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546 self.table_name,
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547 global_secondary_index_updates=gsi_data,
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548 )
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549
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550 return True
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551 else:
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552 msg = 'You need to provide the global index name to ' \
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553 'delete_global_secondary_index method'
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554 boto.log.error(msg)
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555
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556 return False
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557
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558 def update_global_secondary_index(self, global_indexes):
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559 """
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560 Updates a global index(es) in DynamoDB after the table has been created.
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561
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562 Requires a ``global_indexes`` parameter, which should be a
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563 dictionary. If provided, it should specify the index name, which is also
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564 a dict containing a ``read`` & ``write`` key, both of which
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565 should have an integer value associated with them.
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566
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567 To update ``global_indexes`` information on the ``Table``, you'll need
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568 to call ``Table.describe``.
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569
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570 Returns ``True`` on success.
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571
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572 Example::
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573
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574 # To update a global index
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575 >>> users.update_global_secondary_index(global_indexes={
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576 ... 'TheIndexNameHere': {
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577 ... 'read': 15,
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578 ... 'write': 5,
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579 ... }
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580 ... })
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581 True
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582
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583 """
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584
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585 if global_indexes:
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586 gsi_data = []
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587
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588 for gsi_name, gsi_throughput in global_indexes.items():
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589 gsi_data.append({
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590 "Update": {
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591 "IndexName": gsi_name,
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592 "ProvisionedThroughput": {
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593 "ReadCapacityUnits": int(gsi_throughput['read']),
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594 "WriteCapacityUnits": int(gsi_throughput['write']),
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595 },
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596 },
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597 })
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598
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599 self.connection.update_table(
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600 self.table_name,
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601 global_secondary_index_updates=gsi_data,
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602 )
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603 return True
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604 else:
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605 msg = 'You need to provide the global indexes to ' \
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606 'update_global_secondary_index method'
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607 boto.log.error(msg)
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608
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609 return False
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610
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611 def delete(self):
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612 """
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613 Deletes a table in DynamoDB.
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614
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615 **IMPORTANT** - Be careful when using this method, there is no undo.
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616
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617 Returns ``True`` on success.
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618
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619 Example::
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620
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621 >>> users.delete()
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622 True
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623
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624 """
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625 self.connection.delete_table(self.table_name)
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626 return True
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627
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628 def _encode_keys(self, keys):
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629 """
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630 Given a flat Python dictionary of keys/values, converts it into the
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631 nested dictionary DynamoDB expects.
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632
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633 Converts::
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634
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635 {
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636 'username': 'john',
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637 'tags': [1, 2, 5],
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638 }
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639
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640 ...to...::
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641
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642 {
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643 'username': {'S': 'john'},
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644 'tags': {'NS': ['1', '2', '5']},
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645 }
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646
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647 """
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648 raw_key = {}
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649
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650 for key, value in keys.items():
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651 raw_key[key] = self._dynamizer.encode(value)
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652
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653 return raw_key
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654
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655 def get_item(self, consistent=False, attributes=None, **kwargs):
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656 """
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657 Fetches an item (record) from a table in DynamoDB.
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658
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659 To specify the key of the item you'd like to get, you can specify the
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660 key attributes as kwargs.
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661
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662 Optionally accepts a ``consistent`` parameter, which should be a
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663 boolean. If you provide ``True``, it will perform
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664 a consistent (but more expensive) read from DynamoDB.
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665 (Default: ``False``)
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666
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667 Optionally accepts an ``attributes`` parameter, which should be a
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668 list of fieldname to fetch. (Default: ``None``, which means all fields
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669 should be fetched)
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670
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671 Returns an ``Item`` instance containing all the data for that record.
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672
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673 Raises an ``ItemNotFound`` exception if the item is not found.
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674
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675 Example::
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676
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677 # A simple hash key.
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678 >>> john = users.get_item(username='johndoe')
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679 >>> john['first_name']
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680 'John'
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681
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682 # A complex hash+range key.
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diff changeset
683 >>> john = users.get_item(username='johndoe', last_name='Doe')
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684 >>> john['first_name']
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685 'John'
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686
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687 # A consistent read (assuming the data might have just changed).
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688 >>> john = users.get_item(username='johndoe', consistent=True)
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689 >>> john['first_name']
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690 'Johann'
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691
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692 # With a key that is an invalid variable name in Python.
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693 # Also, assumes a different schema than previous examples.
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694 >>> john = users.get_item(**{
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695 ... 'date-joined': 127549192,
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696 ... })
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697 >>> john['first_name']
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diff changeset
698 'John'
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699
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700 """
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701 raw_key = self._encode_keys(kwargs)
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702 item_data = self.connection.get_item(
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703 self.table_name,
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704 raw_key,
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diff changeset
705 attributes_to_get=attributes,
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diff changeset
706 consistent_read=consistent
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707 )
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708 if 'Item' not in item_data:
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diff changeset
709 raise exceptions.ItemNotFound("Item %s couldn't be found." % kwargs)
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diff changeset
710 item = Item(self)
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711 item.load(item_data)
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712 return item
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713
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714 def has_item(self, **kwargs):
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715 """
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716 Return whether an item (record) exists within a table in DynamoDB.
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717
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718 To specify the key of the item you'd like to get, you can specify the
4f3585e2f14b "planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
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diff changeset
719 key attributes as kwargs.
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diff changeset
720
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721 Optionally accepts a ``consistent`` parameter, which should be a
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diff changeset
722 boolean. If you provide ``True``, it will perform
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diff changeset
723 a consistent (but more expensive) read from DynamoDB.
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parents:
diff changeset
724 (Default: ``False``)
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725
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726 Optionally accepts an ``attributes`` parameter, which should be a
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parents:
diff changeset
727 list of fieldnames to fetch. (Default: ``None``, which means all fields
4f3585e2f14b "planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
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diff changeset
728 should be fetched)
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diff changeset
729
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730 Returns ``True`` if an ``Item`` is present, ``False`` if not.
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731
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732 Example::
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733
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734 # Simple, just hash-key schema.
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parents:
diff changeset
735 >>> users.has_item(username='johndoe')
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diff changeset
736 True
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737
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738 # Complex schema, item not present.
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diff changeset
739 >>> users.has_item(
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parents:
diff changeset
740 ... username='johndoe',
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diff changeset
741 ... date_joined='2014-01-07'
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diff changeset
742 ... )
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743 False
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744
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745 """
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746 try:
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diff changeset
747 self.get_item(**kwargs)
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748 except (JSONResponseError, exceptions.ItemNotFound):
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749 return False
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750
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751 return True
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752
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753 def lookup(self, *args, **kwargs):
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754 """
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755 Look up an entry in DynamoDB. This is mostly backwards compatible
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parents:
diff changeset
756 with boto.dynamodb. Unlike get_item, it takes hash_key and range_key first,
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parents:
diff changeset
757 although you may still specify keyword arguments instead.
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758
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759 Also unlike the get_item command, if the returned item has no keys
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parents:
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760 (i.e., it does not exist in DynamoDB), a None result is returned, instead
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761 of an empty key object.
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762
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763 Example::
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764 >>> user = users.lookup(username)
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parents:
diff changeset
765 >>> user = users.lookup(username, consistent=True)
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parents:
diff changeset
766 >>> app = apps.lookup('my_customer_id', 'my_app_id')
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767
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768 """
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769 if not self.schema:
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770 self.describe()
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771 for x, arg in enumerate(args):
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772 kwargs[self.schema[x].name] = arg
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773 ret = self.get_item(**kwargs)
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diff changeset
774 if not ret.keys():
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diff changeset
775 return None
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diff changeset
776 return ret
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diff changeset
777
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diff changeset
778 def new_item(self, *args):
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parents:
diff changeset
779 """
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parents:
diff changeset
780 Returns a new, blank item
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parents:
diff changeset
781
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diff changeset
782 This is mostly for consistency with boto.dynamodb
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parents:
diff changeset
783 """
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parents:
diff changeset
784 if not self.schema:
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parents:
diff changeset
785 self.describe()
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diff changeset
786 data = {}
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parents:
diff changeset
787 for x, arg in enumerate(args):
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parents:
diff changeset
788 data[self.schema[x].name] = arg
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parents:
diff changeset
789 return Item(self, data=data)
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parents:
diff changeset
790
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diff changeset
791 def put_item(self, data, overwrite=False):
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parents:
diff changeset
792 """
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parents:
diff changeset
793 Saves an entire item to DynamoDB.
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parents:
diff changeset
794
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parents:
diff changeset
795 By default, if any part of the ``Item``'s original data doesn't match
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parents:
diff changeset
796 what's currently in DynamoDB, this request will fail. This prevents
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parents:
diff changeset
797 other processes from updating the data in between when you read the
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parents:
diff changeset
798 item & when your request to update the item's data is processed, which
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parents:
diff changeset
799 would typically result in some data loss.
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parents:
diff changeset
800
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parents:
diff changeset
801 Requires a ``data`` parameter, which should be a dictionary of the data
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parents:
diff changeset
802 you'd like to store in DynamoDB.
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parents:
diff changeset
803
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parents:
diff changeset
804 Optionally accepts an ``overwrite`` parameter, which should be a
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parents:
diff changeset
805 boolean. If you provide ``True``, this will tell DynamoDB to blindly
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shellac
parents:
diff changeset
806 overwrite whatever data is present, if any.
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parents:
diff changeset
807
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parents:
diff changeset
808 Returns ``True`` on success.
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parents:
diff changeset
809
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parents:
diff changeset
810 Example::
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parents:
diff changeset
811
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parents:
diff changeset
812 >>> users.put_item(data={
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parents:
diff changeset
813 ... 'username': 'jane',
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parents:
diff changeset
814 ... 'first_name': 'Jane',
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parents:
diff changeset
815 ... 'last_name': 'Doe',
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parents:
diff changeset
816 ... 'date_joined': 126478915,
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parents:
diff changeset
817 ... })
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parents:
diff changeset
818 True
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parents:
diff changeset
819
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diff changeset
820 """
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parents:
diff changeset
821 item = Item(self, data=data)
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parents:
diff changeset
822 return item.save(overwrite=overwrite)
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parents:
diff changeset
823
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parents:
diff changeset
824 def _put_item(self, item_data, expects=None):
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parents:
diff changeset
825 """
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parents:
diff changeset
826 The internal variant of ``put_item`` (full data). This is used by the
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parents:
diff changeset
827 ``Item`` objects, since that operation is represented at the
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parents:
diff changeset
828 table-level by the API, but conceptually maps better to telling an
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parents:
diff changeset
829 individual ``Item`` to save itself.
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parents:
diff changeset
830 """
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parents:
diff changeset
831 kwargs = {}
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diff changeset
832
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parents:
diff changeset
833 if expects is not None:
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parents:
diff changeset
834 kwargs['expected'] = expects
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diff changeset
835
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diff changeset
836 self.connection.put_item(self.table_name, item_data, **kwargs)
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parents:
diff changeset
837 return True
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diff changeset
838
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diff changeset
839 def _update_item(self, key, item_data, expects=None):
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diff changeset
840 """
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parents:
diff changeset
841 The internal variant of ``put_item`` (partial data). This is used by the
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parents:
diff changeset
842 ``Item`` objects, since that operation is represented at the
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parents:
diff changeset
843 table-level by the API, but conceptually maps better to telling an
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shellac
parents:
diff changeset
844 individual ``Item`` to save itself.
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parents:
diff changeset
845 """
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parents:
diff changeset
846 raw_key = self._encode_keys(key)
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parents:
diff changeset
847 kwargs = {}
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diff changeset
848
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diff changeset
849 if expects is not None:
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diff changeset
850 kwargs['expected'] = expects
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diff changeset
851
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diff changeset
852 self.connection.update_item(self.table_name, raw_key, item_data, **kwargs)
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parents:
diff changeset
853 return True
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diff changeset
854
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diff changeset
855 def delete_item(self, expected=None, conditional_operator=None, **kwargs):
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parents:
diff changeset
856 """
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parents:
diff changeset
857 Deletes a single item. You can perform a conditional delete operation
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parents:
diff changeset
858 that deletes the item if it exists, or if it has an expected attribute
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parents:
diff changeset
859 value.
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parents:
diff changeset
860
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parents:
diff changeset
861 Conditional deletes are useful for only deleting items if specific
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parents:
diff changeset
862 conditions are met. If those conditions are met, DynamoDB performs
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parents:
diff changeset
863 the delete. Otherwise, the item is not deleted.
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parents:
diff changeset
864
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parents:
diff changeset
865 To specify the expected attribute values of the item, you can pass a
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shellac
parents:
diff changeset
866 dictionary of conditions to ``expected``. Each condition should follow
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parents:
diff changeset
867 the pattern ``<attributename>__<comparison_operator>=<value_to_expect>``.
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parents:
diff changeset
868
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parents:
diff changeset
869 **IMPORTANT** - Be careful when using this method, there is no undo.
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parents:
diff changeset
870
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parents:
diff changeset
871 To specify the key of the item you'd like to get, you can specify the
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parents:
diff changeset
872 key attributes as kwargs.
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parents:
diff changeset
873
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parents:
diff changeset
874 Optionally accepts an ``expected`` parameter which is a dictionary of
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parents:
diff changeset
875 expected attribute value conditions.
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parents:
diff changeset
876
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diff changeset
877 Optionally accepts a ``conditional_operator`` which applies to the
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parents:
diff changeset
878 expected attribute value conditions:
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parents:
diff changeset
879
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diff changeset
880 + `AND` - If all of the conditions evaluate to true (default)
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parents:
diff changeset
881 + `OR` - True if at least one condition evaluates to true
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parents:
diff changeset
882
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parents:
diff changeset
883 Returns ``True`` on success, ``False`` on failed conditional delete.
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parents:
diff changeset
884
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parents:
diff changeset
885 Example::
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diff changeset
886
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parents:
diff changeset
887 # A simple hash key.
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parents:
diff changeset
888 >>> users.delete_item(username='johndoe')
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parents:
diff changeset
889 True
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parents:
diff changeset
890
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parents:
diff changeset
891 # A complex hash+range key.
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parents:
diff changeset
892 >>> users.delete_item(username='jane', last_name='Doe')
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parents:
diff changeset
893 True
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parents:
diff changeset
894
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diff changeset
895 # With a key that is an invalid variable name in Python.
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parents:
diff changeset
896 # Also, assumes a different schema than previous examples.
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parents:
diff changeset
897 >>> users.delete_item(**{
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parents:
diff changeset
898 ... 'date-joined': 127549192,
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diff changeset
899 ... })
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diff changeset
900 True
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parents:
diff changeset
901
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diff changeset
902 # Conditional delete
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parents:
diff changeset
903 >>> users.delete_item(username='johndoe',
4f3585e2f14b "planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
shellac
parents:
diff changeset
904 ... expected={'balance__eq': 0})
4f3585e2f14b "planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
shellac
parents:
diff changeset
905 True
4f3585e2f14b "planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
shellac
parents:
diff changeset
906 """
4f3585e2f14b "planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
shellac
parents:
diff changeset
907 expected = self._build_filters(expected, using=FILTER_OPERATORS)
4f3585e2f14b "planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
shellac
parents:
diff changeset
908 raw_key = self._encode_keys(kwargs)
4f3585e2f14b "planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
shellac
parents:
diff changeset
909
4f3585e2f14b "planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
shellac
parents:
diff changeset
910 try:
4f3585e2f14b "planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
shellac
parents:
diff changeset
911 self.connection.delete_item(self.table_name, raw_key,
4f3585e2f14b "planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
shellac
parents:
diff changeset
912 expected=expected,
4f3585e2f14b "planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
shellac
parents:
diff changeset
913 conditional_operator=conditional_operator)
4f3585e2f14b "planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
shellac
parents:
diff changeset
914 except exceptions.ConditionalCheckFailedException:
4f3585e2f14b "planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
shellac
parents:
diff changeset
915 return False
4f3585e2f14b "planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
shellac
parents:
diff changeset
916
4f3585e2f14b "planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
shellac
parents:
diff changeset
917 return True
4f3585e2f14b "planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
shellac
parents:
diff changeset
918
4f3585e2f14b "planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
shellac
parents:
diff changeset
919 def get_key_fields(self):
4f3585e2f14b "planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
shellac
parents:
diff changeset
920 """
4f3585e2f14b "planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
shellac
parents:
diff changeset
921 Returns the fields necessary to make a key for a table.
4f3585e2f14b "planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
shellac
parents:
diff changeset
922
4f3585e2f14b "planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
shellac
parents:
diff changeset
923 If the ``Table`` does not already have a populated ``schema``,
4f3585e2f14b "planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
shellac
parents:
diff changeset
924 this will request it via a ``Table.describe`` call.
4f3585e2f14b "planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
shellac
parents:
diff changeset
925
4f3585e2f14b "planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
shellac
parents:
diff changeset
926 Returns a list of fieldnames (strings).
4f3585e2f14b "planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
shellac
parents:
diff changeset
927
4f3585e2f14b "planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
shellac
parents:
diff changeset
928 Example::
4f3585e2f14b "planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
shellac
parents:
diff changeset
929
4f3585e2f14b "planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
shellac
parents:
diff changeset
930 # A simple hash key.
4f3585e2f14b "planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
shellac
parents:
diff changeset
931 >>> users.get_key_fields()
4f3585e2f14b "planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
shellac
parents:
diff changeset
932 ['username']
4f3585e2f14b "planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
shellac
parents:
diff changeset
933
4f3585e2f14b "planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
shellac
parents:
diff changeset
934 # A complex hash+range key.
4f3585e2f14b "planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
shellac
parents:
diff changeset
935 >>> users.get_key_fields()
4f3585e2f14b "planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
shellac
parents:
diff changeset
936 ['username', 'last_name']
4f3585e2f14b "planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
shellac
parents:
diff changeset
937
4f3585e2f14b "planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
shellac
parents:
diff changeset
938 """
4f3585e2f14b "planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
shellac
parents:
diff changeset
939 if not self.schema:
4f3585e2f14b "planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
shellac
parents:
diff changeset
940 # We don't know the structure of the table. Get a description to
4f3585e2f14b "planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
shellac
parents:
diff changeset
941 # populate the schema.
4f3585e2f14b "planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
shellac
parents:
diff changeset
942 self.describe()
4f3585e2f14b "planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
shellac
parents:
diff changeset
943
4f3585e2f14b "planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
shellac
parents:
diff changeset
944 return [field.name for field in self.schema]
4f3585e2f14b "planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
shellac
parents:
diff changeset
945
4f3585e2f14b "planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
shellac
parents:
diff changeset
946 def batch_write(self):
4f3585e2f14b "planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
shellac
parents:
diff changeset
947 """
4f3585e2f14b "planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
shellac
parents:
diff changeset
948 Allows the batching of writes to DynamoDB.
4f3585e2f14b "planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
shellac
parents:
diff changeset
949
4f3585e2f14b "planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
shellac
parents:
diff changeset
950 Since each write/delete call to DynamoDB has a cost associated with it,
4f3585e2f14b "planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
shellac
parents:
diff changeset
951 when loading lots of data, it makes sense to batch them, creating as
4f3585e2f14b "planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
shellac
parents:
diff changeset
952 few calls as possible.
4f3585e2f14b "planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
shellac
parents:
diff changeset
953
4f3585e2f14b "planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
shellac
parents:
diff changeset
954 This returns a context manager that will transparently handle creating
4f3585e2f14b "planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
shellac
parents:
diff changeset
955 these batches. The object you get back lightly-resembles a ``Table``
4f3585e2f14b "planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
shellac
parents:
diff changeset
956 object, sharing just the ``put_item`` & ``delete_item`` methods
4f3585e2f14b "planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
shellac
parents:
diff changeset
957 (which are all that DynamoDB can batch in terms of writing data).
4f3585e2f14b "planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
shellac
parents:
diff changeset
958
4f3585e2f14b "planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
shellac
parents:
diff changeset
959 DynamoDB's maximum batch size is 25 items per request. If you attempt
4f3585e2f14b "planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
shellac
parents:
diff changeset
960 to put/delete more than that, the context manager will batch as many
4f3585e2f14b "planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
shellac
parents:
diff changeset
961 as it can up to that number, then flush them to DynamoDB & continue
4f3585e2f14b "planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
shellac
parents:
diff changeset
962 batching as more calls come in.
4f3585e2f14b "planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
shellac
parents:
diff changeset
963
4f3585e2f14b "planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
shellac
parents:
diff changeset
964 Example::
4f3585e2f14b "planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
shellac
parents:
diff changeset
965
4f3585e2f14b "planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
shellac
parents:
diff changeset
966 # Assuming a table with one record...
4f3585e2f14b "planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
shellac
parents:
diff changeset
967 >>> with users.batch_write() as batch:
4f3585e2f14b "planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
shellac
parents:
diff changeset
968 ... batch.put_item(data={
4f3585e2f14b "planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
shellac
parents:
diff changeset
969 ... 'username': 'johndoe',
4f3585e2f14b "planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
shellac
parents:
diff changeset
970 ... 'first_name': 'John',
4f3585e2f14b "planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
shellac
parents:
diff changeset
971 ... 'last_name': 'Doe',
4f3585e2f14b "planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
shellac
parents:
diff changeset
972 ... 'owner': 1,
4f3585e2f14b "planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
shellac
parents:
diff changeset
973 ... })
4f3585e2f14b "planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
shellac
parents:
diff changeset
974 ... # Nothing across the wire yet.
4f3585e2f14b "planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
shellac
parents:
diff changeset
975 ... batch.delete_item(username='bob')
4f3585e2f14b "planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
shellac
parents:
diff changeset
976 ... # Still no requests sent.
4f3585e2f14b "planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
shellac
parents:
diff changeset
977 ... batch.put_item(data={
4f3585e2f14b "planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
shellac
parents:
diff changeset
978 ... 'username': 'jane',
4f3585e2f14b "planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
shellac
parents:
diff changeset
979 ... 'first_name': 'Jane',
4f3585e2f14b "planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
shellac
parents:
diff changeset
980 ... 'last_name': 'Doe',
4f3585e2f14b "planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
shellac
parents:
diff changeset
981 ... 'date_joined': 127436192,
4f3585e2f14b "planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
shellac
parents:
diff changeset
982 ... })
4f3585e2f14b "planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
shellac
parents:
diff changeset
983 ... # Nothing yet, but once we leave the context, the
4f3585e2f14b "planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
shellac
parents:
diff changeset
984 ... # put/deletes will be sent.
4f3585e2f14b "planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
shellac
parents:
diff changeset
985
4f3585e2f14b "planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
shellac
parents:
diff changeset
986 """
4f3585e2f14b "planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
shellac
parents:
diff changeset
987 # PHENOMENAL COSMIC DOCS!!! itty-bitty code.
4f3585e2f14b "planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
shellac
parents:
diff changeset
988 return BatchTable(self)
4f3585e2f14b "planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
shellac
parents:
diff changeset
989
4f3585e2f14b "planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
shellac
parents:
diff changeset
990 def _build_filters(self, filter_kwargs, using=QUERY_OPERATORS):
4f3585e2f14b "planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
shellac
parents:
diff changeset
991 """
4f3585e2f14b "planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
shellac
parents:
diff changeset
992 An internal method for taking query/scan-style ``**kwargs`` & turning
4f3585e2f14b "planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
shellac
parents:
diff changeset
993 them into the raw structure DynamoDB expects for filtering.
4f3585e2f14b "planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
shellac
parents:
diff changeset
994 """
4f3585e2f14b "planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
shellac
parents:
diff changeset
995 if filter_kwargs is None:
4f3585e2f14b "planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
shellac
parents:
diff changeset
996 return
4f3585e2f14b "planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
shellac
parents:
diff changeset
997
4f3585e2f14b "planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
shellac
parents:
diff changeset
998 filters = {}
4f3585e2f14b "planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
shellac
parents:
diff changeset
999
4f3585e2f14b "planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
shellac
parents:
diff changeset
1000 for field_and_op, value in filter_kwargs.items():
4f3585e2f14b "planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
shellac
parents:
diff changeset
1001 field_bits = field_and_op.split('__')
4f3585e2f14b "planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
shellac
parents:
diff changeset
1002 fieldname = '__'.join(field_bits[:-1])
4f3585e2f14b "planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
shellac
parents:
diff changeset
1003
4f3585e2f14b "planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
shellac
parents:
diff changeset
1004 try:
4f3585e2f14b "planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
shellac
parents:
diff changeset
1005 op = using[field_bits[-1]]
4f3585e2f14b "planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
shellac
parents:
diff changeset
1006 except KeyError:
4f3585e2f14b "planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
shellac
parents:
diff changeset
1007 raise exceptions.UnknownFilterTypeError(
4f3585e2f14b "planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
shellac
parents:
diff changeset
1008 "Operator '%s' from '%s' is not recognized." % (
4f3585e2f14b "planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
shellac
parents:
diff changeset
1009 field_bits[-1],
4f3585e2f14b "planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
shellac
parents:
diff changeset
1010 field_and_op
4f3585e2f14b "planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
shellac
parents:
diff changeset
1011 )
4f3585e2f14b "planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
shellac
parents:
diff changeset
1012 )
4f3585e2f14b "planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
shellac
parents:
diff changeset
1013
4f3585e2f14b "planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
shellac
parents:
diff changeset
1014 lookup = {
4f3585e2f14b "planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
shellac
parents:
diff changeset
1015 'AttributeValueList': [],
4f3585e2f14b "planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
shellac
parents:
diff changeset
1016 'ComparisonOperator': op,
4f3585e2f14b "planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
shellac
parents:
diff changeset
1017 }
4f3585e2f14b "planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
shellac
parents:
diff changeset
1018
4f3585e2f14b "planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
shellac
parents:
diff changeset
1019 # Special-case the ``NULL/NOT_NULL`` case.
4f3585e2f14b "planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
shellac
parents:
diff changeset
1020 if field_bits[-1] == 'null':
4f3585e2f14b "planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
shellac
parents:
diff changeset
1021 del lookup['AttributeValueList']
4f3585e2f14b "planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
shellac
parents:
diff changeset
1022
4f3585e2f14b "planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
shellac
parents:
diff changeset
1023 if value is False:
4f3585e2f14b "planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
shellac
parents:
diff changeset
1024 lookup['ComparisonOperator'] = 'NOT_NULL'
4f3585e2f14b "planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
shellac
parents:
diff changeset
1025 else:
4f3585e2f14b "planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
shellac
parents:
diff changeset
1026 lookup['ComparisonOperator'] = 'NULL'
4f3585e2f14b "planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
shellac
parents:
diff changeset
1027 # Special-case the ``BETWEEN`` case.
4f3585e2f14b "planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
shellac
parents:
diff changeset
1028 elif field_bits[-1] == 'between':
4f3585e2f14b "planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
shellac
parents:
diff changeset
1029 if len(value) == 2 and isinstance(value, (list, tuple)):
4f3585e2f14b "planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
shellac
parents:
diff changeset
1030 lookup['AttributeValueList'].append(
4f3585e2f14b "planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
shellac
parents:
diff changeset
1031 self._dynamizer.encode(value[0])
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1032 )
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1033 lookup['AttributeValueList'].append(
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diff changeset
1034 self._dynamizer.encode(value[1])
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diff changeset
1035 )
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diff changeset
1036 # Special-case the ``IN`` case
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diff changeset
1037 elif field_bits[-1] == 'in':
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1038 for val in value:
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diff changeset
1039 lookup['AttributeValueList'].append(self._dynamizer.encode(val))
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1040 else:
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1041 # Fix up the value for encoding, because it was built to only work
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1042 # with ``set``s.
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1043 if isinstance(value, (list, tuple)):
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1044 value = set(value)
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1045 lookup['AttributeValueList'].append(
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diff changeset
1046 self._dynamizer.encode(value)
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1047 )
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1048
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diff changeset
1049 # Finally, insert it into the filters.
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1050 filters[fieldname] = lookup
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1051
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1052 return filters
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1053
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1054 def query(self, limit=None, index=None, reverse=False, consistent=False,
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1055 attributes=None, max_page_size=None, **filter_kwargs):
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1056 """
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1057 **WARNING:** This method is provided **strictly** for
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1058 backward-compatibility. It returns results in an incorrect order.
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diff changeset
1059
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diff changeset
1060 If you are writing new code, please use ``Table.query_2``.
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1061 """
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1062 reverse = not reverse
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1063 return self.query_2(limit=limit, index=index, reverse=reverse,
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1064 consistent=consistent, attributes=attributes,
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1065 max_page_size=max_page_size, **filter_kwargs)
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1066
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diff changeset
1067 def query_2(self, limit=None, index=None, reverse=False,
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diff changeset
1068 consistent=False, attributes=None, max_page_size=None,
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diff changeset
1069 query_filter=None, conditional_operator=None,
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1070 **filter_kwargs):
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1071 """
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diff changeset
1072 Queries for a set of matching items in a DynamoDB table.
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diff changeset
1073
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1074 Queries can be performed against a hash key, a hash+range key or
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diff changeset
1075 against any data stored in your local secondary indexes. Query filters
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parents:
diff changeset
1076 can be used to filter on arbitrary fields.
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diff changeset
1077
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1078 **Note** - You can not query against arbitrary fields within the data
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diff changeset
1079 stored in DynamoDB unless you specify ``query_filter`` values.
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diff changeset
1080
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1081 To specify the filters of the items you'd like to get, you can specify
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diff changeset
1082 the filters as kwargs. Each filter kwarg should follow the pattern
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diff changeset
1083 ``<fieldname>__<filter_operation>=<value_to_look_for>``. Query filters
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parents:
diff changeset
1084 are specified in the same way.
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diff changeset
1085
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1086 Optionally accepts a ``limit`` parameter, which should be an integer
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diff changeset
1087 count of the total number of items to return. (Default: ``None`` -
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diff changeset
1088 all results)
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diff changeset
1089
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1090 Optionally accepts an ``index`` parameter, which should be a string of
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diff changeset
1091 name of the local secondary index you want to query against.
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diff changeset
1092 (Default: ``None``)
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diff changeset
1093
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1094 Optionally accepts a ``reverse`` parameter, which will present the
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diff changeset
1095 results in reverse order. (Default: ``False`` - normal order)
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1096
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1097 Optionally accepts a ``consistent`` parameter, which should be a
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diff changeset
1098 boolean. If you provide ``True``, it will force a consistent read of
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diff changeset
1099 the data (more expensive). (Default: ``False`` - use eventually
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diff changeset
1100 consistent reads)
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diff changeset
1101
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1102 Optionally accepts a ``attributes`` parameter, which should be a
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diff changeset
1103 tuple. If you provide any attributes only these will be fetched
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diff changeset
1104 from DynamoDB. This uses the ``AttributesToGet`` and set's
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1105 ``Select`` to ``SPECIFIC_ATTRIBUTES`` API.
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diff changeset
1106
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1107 Optionally accepts a ``max_page_size`` parameter, which should be an
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diff changeset
1108 integer count of the maximum number of items to retrieve
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diff changeset
1109 **per-request**. This is useful in making faster requests & prevent
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diff changeset
1110 the scan from drowning out other queries. (Default: ``None`` -
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diff changeset
1111 fetch as many as DynamoDB will return)
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diff changeset
1112
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1113 Optionally accepts a ``query_filter`` which is a dictionary of filter
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diff changeset
1114 conditions against any arbitrary field in the returned data.
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diff changeset
1115
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1116 Optionally accepts a ``conditional_operator`` which applies to the
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diff changeset
1117 query filter conditions:
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diff changeset
1118
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1119 + `AND` - True if all filter conditions evaluate to true (default)
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1120 + `OR` - True if at least one filter condition evaluates to true
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1121
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1122 Returns a ``ResultSet`` containing ``Item``s, which transparently handles the pagination of
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diff changeset
1123 results you get back.
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1124
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1125 Example::
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1126
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1127 # Look for last names equal to "Doe".
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diff changeset
1128 >>> results = users.query(last_name__eq='Doe')
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1129 >>> for res in results:
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1130 ... print res['first_name']
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diff changeset
1131 'John'
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diff changeset
1132 'Jane'
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diff changeset
1133
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1134 # Look for last names beginning with "D", in reverse order, limit 3.
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diff changeset
1135 >>> results = users.query(
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1136 ... last_name__beginswith='D',
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1137 ... reverse=True,
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diff changeset
1138 ... limit=3
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1139 ... )
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1140 >>> for res in results:
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1141 ... print res['first_name']
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diff changeset
1142 'Alice'
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diff changeset
1143 'Jane'
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1144 'John'
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diff changeset
1145
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1146 # Use an LSI & a consistent read.
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diff changeset
1147 >>> results = users.query(
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1148 ... date_joined__gte=1236451000,
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1149 ... owner__eq=1,
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1150 ... index='DateJoinedIndex',
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1151 ... consistent=True
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1152 ... )
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1153 >>> for res in results:
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1154 ... print res['first_name']
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1155 'Alice'
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diff changeset
1156 'Bob'
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parents:
diff changeset
1157 'John'
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diff changeset
1158 'Fred'
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diff changeset
1159
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diff changeset
1160 # Filter by non-indexed field(s)
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parents:
diff changeset
1161 >>> results = users.query(
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parents:
diff changeset
1162 ... last_name__eq='Doe',
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parents:
diff changeset
1163 ... reverse=True,
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diff changeset
1164 ... query_filter={
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parents:
diff changeset
1165 ... 'first_name__beginswith': 'A'
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diff changeset
1166 ... }
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diff changeset
1167 ... )
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parents:
diff changeset
1168 >>> for res in results:
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parents:
diff changeset
1169 ... print res['first_name'] + ' ' + res['last_name']
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parents:
diff changeset
1170 'Alice Doe'
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parents:
diff changeset
1171
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parents:
diff changeset
1172 """
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parents:
diff changeset
1173 if self.schema:
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parents:
diff changeset
1174 if len(self.schema) == 1:
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parents:
diff changeset
1175 if len(filter_kwargs) <= 1:
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parents:
diff changeset
1176 if not self.global_indexes or not len(self.global_indexes):
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parents:
diff changeset
1177 # If the schema only has one field, there's <= 1 filter
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parents:
diff changeset
1178 # param & no Global Secondary Indexes, this is user
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parents:
diff changeset
1179 # error. Bail early.
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parents:
diff changeset
1180 raise exceptions.QueryError(
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parents:
diff changeset
1181 "You must specify more than one key to filter on."
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parents:
diff changeset
1182 )
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parents:
diff changeset
1183
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parents:
diff changeset
1184 if attributes is not None:
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parents:
diff changeset
1185 select = 'SPECIFIC_ATTRIBUTES'
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parents:
diff changeset
1186 else:
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parents:
diff changeset
1187 select = None
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parents:
diff changeset
1188
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parents:
diff changeset
1189 results = ResultSet(
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parents:
diff changeset
1190 max_page_size=max_page_size
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parents:
diff changeset
1191 )
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diff changeset
1192 kwargs = filter_kwargs.copy()
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parents:
diff changeset
1193 kwargs.update({
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parents:
diff changeset
1194 'limit': limit,
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parents:
diff changeset
1195 'index': index,
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parents:
diff changeset
1196 'reverse': reverse,
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parents:
diff changeset
1197 'consistent': consistent,
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parents:
diff changeset
1198 'select': select,
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parents:
diff changeset
1199 'attributes_to_get': attributes,
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parents:
diff changeset
1200 'query_filter': query_filter,
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parents:
diff changeset
1201 'conditional_operator': conditional_operator,
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parents:
diff changeset
1202 })
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parents:
diff changeset
1203 results.to_call(self._query, **kwargs)
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parents:
diff changeset
1204 return results
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parents:
diff changeset
1205
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parents:
diff changeset
1206 def query_count(self, index=None, consistent=False, conditional_operator=None,
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parents:
diff changeset
1207 query_filter=None, scan_index_forward=True, limit=None,
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parents:
diff changeset
1208 exclusive_start_key=None, **filter_kwargs):
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parents:
diff changeset
1209 """
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parents:
diff changeset
1210 Queries the exact count of matching items in a DynamoDB table.
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parents:
diff changeset
1211
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parents:
diff changeset
1212 Queries can be performed against a hash key, a hash+range key or
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shellac
parents:
diff changeset
1213 against any data stored in your local secondary indexes. Query filters
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shellac
parents:
diff changeset
1214 can be used to filter on arbitrary fields.
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parents:
diff changeset
1215
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parents:
diff changeset
1216 To specify the filters of the items you'd like to get, you can specify
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shellac
parents:
diff changeset
1217 the filters as kwargs. Each filter kwarg should follow the pattern
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shellac
parents:
diff changeset
1218 ``<fieldname>__<filter_operation>=<value_to_look_for>``. Query filters
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parents:
diff changeset
1219 are specified in the same way.
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parents:
diff changeset
1220
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parents:
diff changeset
1221 Optionally accepts an ``index`` parameter, which should be a string of
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shellac
parents:
diff changeset
1222 name of the local secondary index you want to query against.
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shellac
parents:
diff changeset
1223 (Default: ``None``)
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parents:
diff changeset
1224
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parents:
diff changeset
1225 Optionally accepts a ``consistent`` parameter, which should be a
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parents:
diff changeset
1226 boolean. If you provide ``True``, it will force a consistent read of
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parents:
diff changeset
1227 the data (more expensive). (Default: ``False`` - use eventually
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parents:
diff changeset
1228 consistent reads)
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parents:
diff changeset
1229
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parents:
diff changeset
1230 Optionally accepts a ``query_filter`` which is a dictionary of filter
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shellac
parents:
diff changeset
1231 conditions against any arbitrary field in the returned data.
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shellac
parents:
diff changeset
1232
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parents:
diff changeset
1233 Optionally accepts a ``conditional_operator`` which applies to the
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parents:
diff changeset
1234 query filter conditions:
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parents:
diff changeset
1235
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parents:
diff changeset
1236 + `AND` - True if all filter conditions evaluate to true (default)
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shellac
parents:
diff changeset
1237 + `OR` - True if at least one filter condition evaluates to true
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parents:
diff changeset
1238
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parents:
diff changeset
1239 Optionally accept a ``exclusive_start_key`` which is used to get
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shellac
parents:
diff changeset
1240 the remaining items when a query cannot return the complete count.
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parents:
diff changeset
1241
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parents:
diff changeset
1242 Returns an integer which represents the exact amount of matched
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parents:
diff changeset
1243 items.
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parents:
diff changeset
1244
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shellac
parents:
diff changeset
1245 :type scan_index_forward: boolean
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shellac
parents:
diff changeset
1246 :param scan_index_forward: Specifies ascending (true) or descending
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shellac
parents:
diff changeset
1247 (false) traversal of the index. DynamoDB returns results reflecting
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shellac
parents:
diff changeset
1248 the requested order determined by the range key. If the data type
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shellac
parents:
diff changeset
1249 is Number, the results are returned in numeric order. For String,
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shellac
parents:
diff changeset
1250 the results are returned in order of ASCII character code values.
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shellac
parents:
diff changeset
1251 For Binary, DynamoDB treats each byte of the binary data as
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shellac
parents:
diff changeset
1252 unsigned when it compares binary values.
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parents:
diff changeset
1253
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parents:
diff changeset
1254 If ScanIndexForward is not specified, the results are returned in
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shellac
parents:
diff changeset
1255 ascending order.
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parents:
diff changeset
1256
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parents:
diff changeset
1257 :type limit: integer
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shellac
parents:
diff changeset
1258 :param limit: The maximum number of items to evaluate (not necessarily
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parents:
diff changeset
1259 the number of matching items).
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parents:
diff changeset
1260
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parents:
diff changeset
1261 Example::
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parents:
diff changeset
1262
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shellac
parents:
diff changeset
1263 # Look for last names equal to "Doe".
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shellac
parents:
diff changeset
1264 >>> users.query_count(last_name__eq='Doe')
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shellac
parents:
diff changeset
1265 5
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parents:
diff changeset
1266
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shellac
parents:
diff changeset
1267 # Use an LSI & a consistent read.
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shellac
parents:
diff changeset
1268 >>> users.query_count(
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parents:
diff changeset
1269 ... date_joined__gte=1236451000,
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shellac
parents:
diff changeset
1270 ... owner__eq=1,
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shellac
parents:
diff changeset
1271 ... index='DateJoinedIndex',
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shellac
parents:
diff changeset
1272 ... consistent=True
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shellac
parents:
diff changeset
1273 ... )
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parents:
diff changeset
1274 2
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shellac
parents:
diff changeset
1275
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shellac
parents:
diff changeset
1276 """
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shellac
parents:
diff changeset
1277 key_conditions = self._build_filters(
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parents:
diff changeset
1278 filter_kwargs,
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parents:
diff changeset
1279 using=QUERY_OPERATORS
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parents:
diff changeset
1280 )
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shellac
parents:
diff changeset
1281
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shellac
parents:
diff changeset
1282 built_query_filter = self._build_filters(
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parents:
diff changeset
1283 query_filter,
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diff changeset
1284 using=FILTER_OPERATORS
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diff changeset
1285 )
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diff changeset
1286
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diff changeset
1287 count_buffer = 0
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diff changeset
1288 last_evaluated_key = exclusive_start_key
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diff changeset
1289
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1290 while True:
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diff changeset
1291 raw_results = self.connection.query(
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1292 self.table_name,
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diff changeset
1293 index_name=index,
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diff changeset
1294 consistent_read=consistent,
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diff changeset
1295 select='COUNT',
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diff changeset
1296 key_conditions=key_conditions,
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diff changeset
1297 query_filter=built_query_filter,
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parents:
diff changeset
1298 conditional_operator=conditional_operator,
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parents:
diff changeset
1299 limit=limit,
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diff changeset
1300 scan_index_forward=scan_index_forward,
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diff changeset
1301 exclusive_start_key=last_evaluated_key
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parents:
diff changeset
1302 )
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diff changeset
1303
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1304 count_buffer += int(raw_results.get('Count', 0))
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parents:
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1305 last_evaluated_key = raw_results.get('LastEvaluatedKey')
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parents:
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1306 if not last_evaluated_key or count_buffer < 1:
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parents:
diff changeset
1307 break
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diff changeset
1308
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1309 return count_buffer
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1310
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1311 def _query(self, limit=None, index=None, reverse=False, consistent=False,
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parents:
diff changeset
1312 exclusive_start_key=None, select=None, attributes_to_get=None,
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diff changeset
1313 query_filter=None, conditional_operator=None, **filter_kwargs):
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parents:
diff changeset
1314 """
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diff changeset
1315 The internal method that performs the actual queries. Used extensively
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parents:
diff changeset
1316 by ``ResultSet`` to perform each (paginated) request.
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1317 """
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1318 kwargs = {
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1319 'limit': limit,
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diff changeset
1320 'index_name': index,
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diff changeset
1321 'consistent_read': consistent,
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1322 'select': select,
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diff changeset
1323 'attributes_to_get': attributes_to_get,
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diff changeset
1324 'conditional_operator': conditional_operator,
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parents:
diff changeset
1325 }
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diff changeset
1326
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1327 if reverse:
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diff changeset
1328 kwargs['scan_index_forward'] = False
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parents:
diff changeset
1329
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1330 if exclusive_start_key:
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diff changeset
1331 kwargs['exclusive_start_key'] = {}
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parents:
diff changeset
1332
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diff changeset
1333 for key, value in exclusive_start_key.items():
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parents:
diff changeset
1334 kwargs['exclusive_start_key'][key] = \
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parents:
diff changeset
1335 self._dynamizer.encode(value)
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parents:
diff changeset
1336
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diff changeset
1337 # Convert the filters into something we can actually use.
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parents:
diff changeset
1338 kwargs['key_conditions'] = self._build_filters(
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diff changeset
1339 filter_kwargs,
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diff changeset
1340 using=QUERY_OPERATORS
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diff changeset
1341 )
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diff changeset
1342
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diff changeset
1343 kwargs['query_filter'] = self._build_filters(
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diff changeset
1344 query_filter,
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diff changeset
1345 using=FILTER_OPERATORS
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diff changeset
1346 )
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diff changeset
1347
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diff changeset
1348 raw_results = self.connection.query(
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diff changeset
1349 self.table_name,
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diff changeset
1350 **kwargs
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diff changeset
1351 )
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diff changeset
1352 results = []
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diff changeset
1353 last_key = None
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diff changeset
1354
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diff changeset
1355 for raw_item in raw_results.get('Items', []):
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parents:
diff changeset
1356 item = Item(self)
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diff changeset
1357 item.load({
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diff changeset
1358 'Item': raw_item,
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diff changeset
1359 })
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diff changeset
1360 results.append(item)
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diff changeset
1361
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diff changeset
1362 if raw_results.get('LastEvaluatedKey', None):
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diff changeset
1363 last_key = {}
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diff changeset
1364
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diff changeset
1365 for key, value in raw_results['LastEvaluatedKey'].items():
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parents:
diff changeset
1366 last_key[key] = self._dynamizer.decode(value)
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parents:
diff changeset
1367
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diff changeset
1368 return {
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diff changeset
1369 'results': results,
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diff changeset
1370 'last_key': last_key,
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diff changeset
1371 }
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diff changeset
1372
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diff changeset
1373 def scan(self, limit=None, segment=None, total_segments=None,
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diff changeset
1374 max_page_size=None, attributes=None, conditional_operator=None,
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diff changeset
1375 **filter_kwargs):
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diff changeset
1376 """
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diff changeset
1377 Scans across all items within a DynamoDB table.
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parents:
diff changeset
1378
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diff changeset
1379 Scans can be performed against a hash key or a hash+range key. You can
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parents:
diff changeset
1380 additionally filter the results after the table has been read but
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diff changeset
1381 before the response is returned by using query filters.
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diff changeset
1382
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diff changeset
1383 To specify the filters of the items you'd like to get, you can specify
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parents:
diff changeset
1384 the filters as kwargs. Each filter kwarg should follow the pattern
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parents:
diff changeset
1385 ``<fieldname>__<filter_operation>=<value_to_look_for>``.
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diff changeset
1386
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diff changeset
1387 Optionally accepts a ``limit`` parameter, which should be an integer
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diff changeset
1388 count of the total number of items to return. (Default: ``None`` -
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diff changeset
1389 all results)
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diff changeset
1390
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diff changeset
1391 Optionally accepts a ``segment`` parameter, which should be an integer
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diff changeset
1392 of the segment to retrieve on. Please see the documentation about
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diff changeset
1393 Parallel Scans (Default: ``None`` - no segments)
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diff changeset
1394
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diff changeset
1395 Optionally accepts a ``total_segments`` parameter, which should be an
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diff changeset
1396 integer count of number of segments to divide the table into.
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diff changeset
1397 Please see the documentation about Parallel Scans (Default: ``None`` -
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diff changeset
1398 no segments)
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diff changeset
1399
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1400 Optionally accepts a ``max_page_size`` parameter, which should be an
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parents:
diff changeset
1401 integer count of the maximum number of items to retrieve
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parents:
diff changeset
1402 **per-request**. This is useful in making faster requests & prevent
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parents:
diff changeset
1403 the scan from drowning out other queries. (Default: ``None`` -
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diff changeset
1404 fetch as many as DynamoDB will return)
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diff changeset
1405
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diff changeset
1406 Optionally accepts an ``attributes`` parameter, which should be a
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diff changeset
1407 tuple. If you provide any attributes only these will be fetched
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diff changeset
1408 from DynamoDB. This uses the ``AttributesToGet`` and set's
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parents:
diff changeset
1409 ``Select`` to ``SPECIFIC_ATTRIBUTES`` API.
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1410
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1411 Returns a ``ResultSet``, which transparently handles the pagination of
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diff changeset
1412 results you get back.
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1413
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1414 Example::
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1415
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1416 # All results.
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parents:
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1417 >>> everything = users.scan()
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1418
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1419 # Look for last names beginning with "D".
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1420 >>> results = users.scan(last_name__beginswith='D')
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parents:
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1421 >>> for res in results:
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1422 ... print res['first_name']
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1423 'Alice'
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1424 'John'
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1425 'Jane'
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1426
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1427 # Use an ``IN`` filter & limit.
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1428 >>> results = users.scan(
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1429 ... age__in=[25, 26, 27, 28, 29],
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1430 ... limit=1
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1431 ... )
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1432 >>> for res in results:
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1433 ... print res['first_name']
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1434 'Alice'
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1435
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1436 """
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1437 results = ResultSet(
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1438 max_page_size=max_page_size
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1439 )
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1440 kwargs = filter_kwargs.copy()
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1441 kwargs.update({
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1442 'limit': limit,
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1443 'segment': segment,
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1444 'total_segments': total_segments,
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1445 'attributes': attributes,
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1446 'conditional_operator': conditional_operator,
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1447 })
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1448 results.to_call(self._scan, **kwargs)
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1449 return results
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1450
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1451 def _scan(self, limit=None, exclusive_start_key=None, segment=None,
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1452 total_segments=None, attributes=None, conditional_operator=None,
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1453 **filter_kwargs):
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1454 """
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1455 The internal method that performs the actual scan. Used extensively
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1456 by ``ResultSet`` to perform each (paginated) request.
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1457 """
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1458 kwargs = {
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1459 'limit': limit,
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1460 'segment': segment,
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1461 'total_segments': total_segments,
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1462 'attributes_to_get': attributes,
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1463 'conditional_operator': conditional_operator,
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1464 }
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1465
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1466 if exclusive_start_key:
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1467 kwargs['exclusive_start_key'] = {}
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1468
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1469 for key, value in exclusive_start_key.items():
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1470 kwargs['exclusive_start_key'][key] = \
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1471 self._dynamizer.encode(value)
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1472
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1473 # Convert the filters into something we can actually use.
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1474 kwargs['scan_filter'] = self._build_filters(
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1475 filter_kwargs,
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1476 using=FILTER_OPERATORS
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1477 )
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1478
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1479 raw_results = self.connection.scan(
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1480 self.table_name,
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1481 **kwargs
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1482 )
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1483 results = []
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1484 last_key = None
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1485
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1486 for raw_item in raw_results.get('Items', []):
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1487 item = Item(self)
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1488 item.load({
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1489 'Item': raw_item,
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1490 })
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1491 results.append(item)
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1492
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1493 if raw_results.get('LastEvaluatedKey', None):
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1494 last_key = {}
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1495
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1496 for key, value in raw_results['LastEvaluatedKey'].items():
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diff changeset
1497 last_key[key] = self._dynamizer.decode(value)
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1498
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1499 return {
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1500 'results': results,
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1501 'last_key': last_key,
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1502 }
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1503
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1504 def batch_get(self, keys, consistent=False, attributes=None):
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1505 """
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1506 Fetches many specific items in batch from a table.
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1507
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1508 Requires a ``keys`` parameter, which should be a list of dictionaries.
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1509 Each dictionary should consist of the keys values to specify.
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1510
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1511 Optionally accepts a ``consistent`` parameter, which should be a
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1512 boolean. If you provide ``True``, a strongly consistent read will be
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1513 used. (Default: False)
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1514
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1515 Optionally accepts an ``attributes`` parameter, which should be a
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1516 tuple. If you provide any attributes only these will be fetched
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1517 from DynamoDB.
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1518
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1519 Returns a ``ResultSet``, which transparently handles the pagination of
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1520 results you get back.
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diff changeset
1521
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1522 Example::
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1523
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1524 >>> results = users.batch_get(keys=[
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1525 ... {
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1526 ... 'username': 'johndoe',
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1527 ... },
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1528 ... {
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1529 ... 'username': 'jane',
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1530 ... },
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1531 ... {
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1532 ... 'username': 'fred',
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1533 ... },
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1534 ... ])
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1535 >>> for res in results:
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1536 ... print res['first_name']
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1537 'John'
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diff changeset
1538 'Jane'
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parents:
diff changeset
1539 'Fred'
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1540
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1541 """
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parents:
diff changeset
1542 # We pass the keys to the constructor instead, so it can maintain it's
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parents:
diff changeset
1543 # own internal state as to what keys have been processed.
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parents:
diff changeset
1544 results = BatchGetResultSet(keys=keys, max_batch_get=self.max_batch_get)
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parents:
diff changeset
1545 results.to_call(self._batch_get, consistent=consistent, attributes=attributes)
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parents:
diff changeset
1546 return results
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parents:
diff changeset
1547
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parents:
diff changeset
1548 def _batch_get(self, keys, consistent=False, attributes=None):
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parents:
diff changeset
1549 """
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parents:
diff changeset
1550 The internal method that performs the actual batch get. Used extensively
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parents:
diff changeset
1551 by ``BatchGetResultSet`` to perform each (paginated) request.
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parents:
diff changeset
1552 """
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parents:
diff changeset
1553 items = {
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parents:
diff changeset
1554 self.table_name: {
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parents:
diff changeset
1555 'Keys': [],
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parents:
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1556 },
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1557 }
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1558
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1559 if consistent:
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diff changeset
1560 items[self.table_name]['ConsistentRead'] = True
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parents:
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1561
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1562 if attributes is not None:
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1563 items[self.table_name]['AttributesToGet'] = attributes
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1564
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1565 for key_data in keys:
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1566 raw_key = {}
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1567
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1568 for key, value in key_data.items():
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parents:
diff changeset
1569 raw_key[key] = self._dynamizer.encode(value)
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1570
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diff changeset
1571 items[self.table_name]['Keys'].append(raw_key)
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1572
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parents:
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1573 raw_results = self.connection.batch_get_item(request_items=items)
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parents:
diff changeset
1574 results = []
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parents:
diff changeset
1575 unprocessed_keys = []
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1576
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1577 for raw_item in raw_results['Responses'].get(self.table_name, []):
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parents:
diff changeset
1578 item = Item(self)
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parents:
diff changeset
1579 item.load({
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parents:
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1580 'Item': raw_item,
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diff changeset
1581 })
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1582 results.append(item)
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1583
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1584 raw_unprocessed = raw_results.get('UnprocessedKeys', {}).get(self.table_name, {})
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1585
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1586 for raw_key in raw_unprocessed.get('Keys', []):
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parents:
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1587 py_key = {}
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parents:
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1588
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1589 for key, value in raw_key.items():
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parents:
diff changeset
1590 py_key[key] = self._dynamizer.decode(value)
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parents:
diff changeset
1591
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diff changeset
1592 unprocessed_keys.append(py_key)
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diff changeset
1593
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1594 return {
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diff changeset
1595 'results': results,
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parents:
diff changeset
1596 # NEVER return a ``last_key``. Just in-case any part of
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parents:
diff changeset
1597 # ``ResultSet`` peeks through, since much of the
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parents:
diff changeset
1598 # original underlying implementation is based on this key.
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parents:
diff changeset
1599 'last_key': None,
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parents:
diff changeset
1600 'unprocessed_keys': unprocessed_keys,
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parents:
diff changeset
1601 }
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diff changeset
1602
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parents:
diff changeset
1603 def count(self):
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parents:
diff changeset
1604 """
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parents:
diff changeset
1605 Returns a (very) eventually consistent count of the number of items
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parents:
diff changeset
1606 in a table.
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parents:
diff changeset
1607
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parents:
diff changeset
1608 Lag time is about 6 hours, so don't expect a high degree of accuracy.
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parents:
diff changeset
1609
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parents:
diff changeset
1610 Example::
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parents:
diff changeset
1611
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parents:
diff changeset
1612 >>> users.count()
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parents:
diff changeset
1613 6
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parents:
diff changeset
1614
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diff changeset
1615 """
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parents:
diff changeset
1616 info = self.describe()
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parents:
diff changeset
1617 return info['Table'].get('ItemCount', 0)
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parents:
diff changeset
1618
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diff changeset
1619
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parents:
diff changeset
1620 class BatchTable(object):
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parents:
diff changeset
1621 """
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parents:
diff changeset
1622 Used by ``Table`` as the context manager for batch writes.
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diff changeset
1623
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diff changeset
1624 You likely don't want to try to use this object directly.
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parents:
diff changeset
1625 """
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parents:
diff changeset
1626 def __init__(self, table):
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parents:
diff changeset
1627 self.table = table
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parents:
diff changeset
1628 self._to_put = []
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parents:
diff changeset
1629 self._to_delete = []
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parents:
diff changeset
1630 self._unprocessed = []
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parents:
diff changeset
1631
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diff changeset
1632 def __enter__(self):
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parents:
diff changeset
1633 return self
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diff changeset
1634
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diff changeset
1635 def __exit__(self, type, value, traceback):
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parents:
diff changeset
1636 if self._to_put or self._to_delete:
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shellac
parents:
diff changeset
1637 # Flush anything that's left.
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parents:
diff changeset
1638 self.flush()
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1639
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1640 if self._unprocessed:
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parents:
diff changeset
1641 # Finally, handle anything that wasn't processed.
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parents:
diff changeset
1642 self.resend_unprocessed()
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parents:
diff changeset
1643
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diff changeset
1644 def put_item(self, data, overwrite=False):
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parents:
diff changeset
1645 self._to_put.append(data)
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parents:
diff changeset
1646
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1647 if self.should_flush():
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diff changeset
1648 self.flush()
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diff changeset
1649
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diff changeset
1650 def delete_item(self, **kwargs):
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parents:
diff changeset
1651 self._to_delete.append(kwargs)
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diff changeset
1652
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1653 if self.should_flush():
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diff changeset
1654 self.flush()
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diff changeset
1655
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1656 def should_flush(self):
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parents:
diff changeset
1657 if len(self._to_put) + len(self._to_delete) == 25:
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parents:
diff changeset
1658 return True
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diff changeset
1659
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parents:
diff changeset
1660 return False
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parents:
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1661
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diff changeset
1662 def flush(self):
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parents:
diff changeset
1663 batch_data = {
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parents:
diff changeset
1664 self.table.table_name: [
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parents:
diff changeset
1665 # We'll insert data here shortly.
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parents:
diff changeset
1666 ],
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1667 }
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1668
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1669 for put in self._to_put:
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1670 item = Item(self.table, data=put)
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1671 batch_data[self.table.table_name].append({
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1672 'PutRequest': {
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1673 'Item': item.prepare_full(),
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1674 }
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1675 })
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1676
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1677 for delete in self._to_delete:
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1678 batch_data[self.table.table_name].append({
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1679 'DeleteRequest': {
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1680 'Key': self.table._encode_keys(delete),
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1681 }
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1682 })
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1683
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1684 resp = self.table.connection.batch_write_item(batch_data)
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1685 self.handle_unprocessed(resp)
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1686
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1687 self._to_put = []
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1688 self._to_delete = []
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1689 return True
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1690
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1691 def handle_unprocessed(self, resp):
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1692 if len(resp.get('UnprocessedItems', [])):
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1693 table_name = self.table.table_name
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1694 unprocessed = resp['UnprocessedItems'].get(table_name, [])
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1695
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1696 # Some items have not been processed. Stow them for now &
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1697 # re-attempt processing on ``__exit__``.
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1698 msg = "%s items were unprocessed. Storing for later."
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1699 boto.log.info(msg % len(unprocessed))
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1700 self._unprocessed.extend(unprocessed)
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1701
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1702 def resend_unprocessed(self):
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1703 # If there are unprocessed records (for instance, the user was over
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1704 # their throughput limitations), iterate over them & send until they're
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1705 # all there.
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1706 boto.log.info(
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1707 "Re-sending %s unprocessed items." % len(self._unprocessed)
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1708 )
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1709
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1710 while len(self._unprocessed):
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1711 # Again, do 25 at a time.
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1712 to_resend = self._unprocessed[:25]
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1713 # Remove them from the list.
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1714 self._unprocessed = self._unprocessed[25:]
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1715 batch_data = {
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1716 self.table.table_name: to_resend
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1717 }
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1718 boto.log.info("Sending %s items" % len(to_resend))
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1719 resp = self.table.connection.batch_write_item(batch_data)
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1720 self.handle_unprocessed(resp)
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1721 boto.log.info(
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1722 "%s unprocessed items left" % len(self._unprocessed)
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1723 )