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Small, practical examples. Search by task or narrow things down below.

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PostgresSubqueries & ranked selection

Sort preferred rows ahead of other rows

Postgres: A CASE ordering key expresses business priority before a stable secondary sort.

Postgres✓ Tested
PostgresGetting Started

Sort the highest quantities first

Postgres: Specify descending order and a stable tie breaker.

Postgres✓ Tested
PostgresWindow analytics

Sum a row and its immediate predecessor

Postgres: A ROWS frame counts physical ordered rows rather than all peers with the same sort value.

Postgres✓ Tested
PostgresText cleanup & matching

Treat an empty trimmed value as missing

Postgres: NULLIF converts an empty string to NULL before a fallback is applied.

Postgres✓ Tested
PostgresGetting Started

Turn a condition into a result label

Postgres: Use CASE to describe stock availability for each row.

Postgres✓ Tested
PostgresReporting & grouped calculations

Turn known group values into columns

Postgres: Conditional aggregation gives a portable pivot when the category set is known.

Postgres✓ Tested
PostgresSchema design & transactions

Undo a multi-row transfer atomically

Postgres: The first transaction commits the fixtures. Rolling back the second transaction restores both sides of the attempted transfer.

Postgres✓ Tested
PostgresSchema design & transactions

Undo only the work after a savepoint

Postgres: After committing the fixtures, roll back a trial change while keeping earlier work in the second transaction.

Postgres✓ Tested
PostgresGetting Started

Update one row using its primary key

Postgres: Use a precise WHERE condition to change only the intended row in a scratch table.

Postgres✓ Tested
PostgresBulk changes & set operations

Update rows selected by a related table

Postgres: Use EXISTS to limit updates based on an independent eligibility table.

Postgres✓ Tested
PostgresBulk changes & set operations

Update several classifications in one statement

Postgres: A CASE expression computes the new value for each row covered by the update predicate.

Postgres✓ Tested
SQLGetting Started

Accept either of two conditions

SQL: Use OR to keep matching names or out-of-stock rows.

SQL✓ Tested