FIND YOUR NEXT FEW LINES

Results for “Schema design & transactions”

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

377 snippets foundClear filters
SQL ServerBulk changes & set operations

Insert only keys absent from a destination

SQL Server: NOT EXISTS supports a set-based missing-row insert in a single-writer example.

SQL Server✓ Tested
PostgresBulk changes & set operations

Insert only keys absent from a destination

Postgres: NOT EXISTS supports a set-based missing-row insert in a single-writer example.

Postgres✓ Tested
SQLiteBulk changes & set operations

Insert only keys absent from a destination

SQLite: NOT EXISTS supports a set-based missing-row insert in a single-writer example.

SQLite✓ Tested
PostgresRows & writes

Insert or update on a key conflict

Use a unique key to update an existing row.

ON CONFLICT✓ Tested
PostgresRows & writes

Inspect deleted rows

Return values from the rows a DELETE removes.

DELETE✓ Tested
SQLRelationships & missing data

Join a parent to pre-aggregated totals

SQL: Aggregate the child rows first to produce at most one joined row per parent.

SQL✓ Tested
SQL ServerRelationships & missing data

Join a parent to pre-aggregated totals

SQL Server: Aggregate the child rows first to produce at most one joined row per parent.

SQL Server✓ Tested
PostgresRelationships & missing data

Join a parent to pre-aggregated totals

Postgres: Aggregate the child rows first to produce at most one joined row per parent.

Postgres✓ Tested
SQLiteRelationships & missing data

Join a parent to pre-aggregated totals

SQLite: Aggregate the child rows first to produce at most one joined row per parent.

SQLite✓ Tested
PostgresGetting Started

Join related rows from two tables

Postgres: Match a category key to its display label with an explicit join condition.

Postgres✓ Tested
PostgresWindows & text

Join text rows in a chosen order

Combine values using string_agg.

string_agg✓ Tested
SQLRelationships & missing data

Join through a lookup table

SQL: Use explicit aliases and join keys when enriching records through two relationships.

SQL✓ Tested