Results for “Lifecycle & observable data”
Small, practical examples. Search by task or narrow things down below.
Filter groups after aggregation
SQL Server: Use HAVING to test a group’s calculated total.
SQL Server✓ Tested
Filter history by its author identity
Git: The author filter selects commits by their recorded author metadata.
Git✓ Tested
Filter rows before grouping
SQL: WHERE limits the rows contributing to the aggregate; it differs from filtering completed groups with HAVING.
SQL✓ Tested
Filter rows before grouping
SQL Server: WHERE limits the rows contributing to the aggregate; it differs from filtering completed groups with HAVING.
SQL Server✓ Tested
Filter rows before grouping
Postgres: WHERE limits the rows contributing to the aggregate; it differs from filtering completed groups with HAVING.
Postgres✓ Tested
Filter rows before grouping
SQLite: WHERE limits the rows contributing to the aggregate; it differs from filtering completed groups with HAVING.
SQLite✓ Tested
Filter rows with WHERE
Keep products below a chosen price.
WHERE✓ Tested
Find missing values with IS NULL
SQL: Use IS NULL rather than equality to test for missing data.
SQL✓ Tested
Find missing values with IS NULL
SQL Server: Use IS NULL rather than equality to test for missing data.
SQL Server✓ Tested
Find missing values with IS NULL
Postgres: Use IS NULL rather than equality to test for missing data.
Postgres✓ Tested
Find missing values with IS NULL
SQLite: Use IS NULL rather than equality to test for missing data.
SQLite✓ Tested
Find rows in the first result but not the second
SQL: EXCEPT calculates a distinct result-set difference.
SQL✓ Tested