SQLite to Tabular

Inputs

An existing SQLite data base.

Outputs

The results of a SQL query are output to the history as a tabular file.

For help in using SQLite see: http://www.sqlite.org/docs.html

NOTE: input for SQLite dates input field must be in the format: YYYY-MM-DD for example: 2015-09-30

See: http://www.sqlite.org/lang_datefunc.html

Example

Given 2 tabular datasets: customers and sales

Dataset customers

Table name: "customers"

Column names: "CustomerID,FirstName,LastName,Email,DOB,Phone"

#CustomerID	FirstName	LastName	Email	DOB	Phone
1	John	Smith	John.Smith@yahoo.com	1968-02-04	626 222-2222
2	Steven	Goldfish	goldfish@fishhere.net	1974-04-04	323 455-4545
3	Paula	Brown	pb@herowndomain.org	1978-05-24	416 323-3232
4	James	Smith	jim@supergig.co.uk	1980-10-20	416 323-8888

Dataset sales

Table name: "sales"

Column names: "CustomerID,Date,SaleAmount"

#CustomerID	Date	SaleAmount
2	2004-05-06	100.22
1	2004-05-07	99.95
3	2004-05-07	122.95
3	2004-05-13	100.00
4	2004-05-22	555.55

The query

SELECT FirstName,LastName,sum(SaleAmount) as "TotalSales"
FROM customers join sales on customers.CustomerID = sales.CustomerID
GROUP BY customers.CustomerID ORDER BY TotalSales DESC;

Produces this tabular output:

#FirstName	LastName	TotalSales
James	Smith	555.55
Paula	Brown	222.95
Steven	Goldfish	100.22
John	Smith	99.95

If the optional Table name and Column names inputs are not used, the query would be:

SELECT t1.c2 as "FirstName", t1.c3 as "LastName", sum(t2.c3) as "TotalSales"
FROM t1 join t2 on t1.c1 = t2.c1
GROUP BY t1.c1 ORDER BY TotalSales DESC;

You can selectively name columns, e.g. on the customers input you could just name columns 2,3, and 5:

Column names: ,FirstName,LastName,,BirthDate

Results in the following data base table

#c1	FirstName	LastName	c4	BirthDate	c6
1	John	Smith	John.Smith@yahoo.com	1968-02-04	626 222-2222
2	Steven	Goldfish	goldfish@fishhere.net	1974-04-04	323 455-4545
3	Paula	Brown	pb@herowndomain.org	1978-05-24	416 323-3232
4	James	Smith	jim@supergig.co.uk	1980-10-20	416 323-8888

Regular_expression functions are included for:

matching:      re_match('pattern',column)

SELECT t1.FirstName, t1.LastName
FROM t1
WHERE re_match('^.*\.(net|org)$',c4)

Results:

#FirstName	LastName
Steven	Goldfish
Paula	Brown

searching:     re_search('pattern',column)
substituting:  re_sub('pattern','replacement,column)

SELECT t1.FirstName, t1.LastName, re_sub('^\d{2}(\d{2})-(\d\d)-(\d\d)','\3/\2/\1',BirthDate) as "DOB"
FROM t1
WHERE re_search('[hp]er',c4)

Results:

#FirstName	LastName	DOB
Steven	Goldfish	04/04/74
Paula	Brown	24/05/78
James	Smith	20/10/80