Pivoting Data

Jana Sattainathan explains the PIVOT operator:

The results are so much easier to look at and comprehend, aren’t they? All object types for a schema are on a single line and it is easy for us to do impact analysis visually.

Sometimes doing it in T-SQL is the best approach, but pivoting is generally something which is cheaper in the application tier, whether you’re building a report, dashboard, or web app.

Related Posts

Odd Behavior With Altering Columns

Solomon Rutzky points out a few things which you can unintentionally change when running an ALTER TABLE [tbl] ALTER COLUMN [col] command: If the column is NOT NULL, then not specifying NOT NULL will cause it to become NULLable. The documentation for ALTER TABLE even states: ANSI_NULL defaults are always on for ALTER COLUMN; if not specified, the column is nullable. Let’s see […]

Read More

LISTAGG In Snowflake DB

Koen Verbeeck continues investigating Snowflake capabilities: Since SQL Server 2017, you have the STRING_AGG function, which has almost the exact same syntax as its Snowflake counterpart. There are two minor differences:– Snowflake has an optional DISTINCT– SQL Server has a default ascending sorting. If you want another sorting, you can specify one in the WITHIN GROUP clause. […]

Read More

Categories

December 2016
MTWTFSS
« Nov Jan »
 1234
567891011
12131415161718
19202122232425
262728293031