Results for “Subqueries & ranked selection”
Small, practical examples. Search by task or narrow things down below.
Attach an overall count to every row
SQL: An uncorrelated scalar subquery supplies the same aggregate to each output row.
SQL✓ Tested
Attach an overall count to every row
SQL Server: An uncorrelated scalar subquery supplies the same aggregate to each output row.
SQL Server✓ Tested
Attach an overall count to every row
Postgres: An uncorrelated scalar subquery supplies the same aggregate to each output row.
Postgres✓ Tested
Attach an overall count to every row
SQLite: An uncorrelated scalar subquery supplies the same aggregate to each output row.
SQLite✓ Tested
Build a query from several named stages
SQL: Separate row selection from aggregation using two common table expressions.
SQL✓ Tested
Build a query from several named stages
SQL Server: Separate row selection from aggregation using two common table expressions.
SQL Server✓ Tested
Build a query from several named stages
Postgres: Separate row selection from aggregation using two common table expressions.
Postgres✓ Tested
Build a query from several named stages
SQLite: Separate row selection from aggregation using two common table expressions.
SQLite✓ Tested
Compare a row with its own group average
SQL: A correlated aggregate computes a different comparison value for each group.
SQL✓ Tested
Compare a row with its own group average
SQL Server: A correlated aggregate computes a different comparison value for each group.
SQL Server✓ Tested
Compare a row with its own group average
Postgres: A correlated aggregate computes a different comparison value for each group.
Postgres✓ Tested
Compare a row with its own group average
SQLite: A correlated aggregate computes a different comparison value for each group.
SQLite✓ Tested