Results for “report”
Small, practical examples. Search by task or narrow things down below.
Count rows satisfying separate conditions
Postgres: SUM over CASE expressions calculates several conditional counts in one scan.
Postgres✓ Tested
Count rows satisfying separate conditions
SQLite: SUM over CASE expressions calculates several conditional counts in one scan.
SQLite✓ Tested
Distinguish row count from non-null value count
SQL: COUNT(*) includes every row while COUNT(column) skips NULL values.
SQL✓ Tested
Distinguish row count from non-null value count
SQL Server: COUNT(*) includes every row while COUNT(column) skips NULL values.
SQL Server✓ Tested
Distinguish row count from non-null value count
Postgres: COUNT(*) includes every row while COUNT(column) skips NULL values.
Postgres✓ Tested
Distinguish row count from non-null value count
SQLite: COUNT(*) includes every row while COUNT(column) skips NULL values.
SQLite✓ 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
Group by more than one field
SQL: Each distinct combination of grouping fields produces its own row.
SQL✓ Tested
Group by more than one field
SQL Server: Each distinct combination of grouping fields produces its own row.
SQL Server✓ Tested