Results for “Structured data & serialization”
Small, practical examples. Search by task or narrow things down below.
Expose a reusable filtered view
SQLite: A view stores a query definition rather than a snapshot of its rows.
SQLite✓ Tested
Extract a JSON field
Read a scalar value from JSON text.
json_extract✓ Tested
Extract part of a date
Read a calendar component with EXTRACT.
EXTRACT✓ Tested
Fetch a plain-text resource
jQuery: An explicit text data type keeps the response as a string.
jQuery✓ Tested
Filter aggregate groups
Keep only categories with multiple products.
HAVING✓ Tested
Filter by a numeric comparison
SQL: Keep rows whose quantity exceeds a chosen threshold.
SQL✓ Tested
Filter by a numeric comparison
SQL Server: Keep rows whose quantity exceeds a chosen threshold.
SQL Server✓ Tested
Filter groups after aggregation
SQL: Use HAVING to test a group’s calculated total.
SQL✓ Tested
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