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Window partition

A window partition is an independent subset of rows defined for separate evaluation by a window function.

How 2 Manning books explain it

DuckDB in Action

The PARTITION BY clause divides the input rows of a window function into groups that are processed independently.

How it is used
Calculates rankings and aggregates independently within categories while preserving one output row per input row.
How deep it goes
Explains independent partitions, visibility boundaries, ordering, ranking, and aggregates, but does not detail frame specifications.
Examples
Uses power readings to demonstrate top-three and top-two rankings, plus per-system average daily production.
What you can do after
Apply it via SQL to rank rows or calculate partition-specific aggregates without reducing the result to grouped rows.

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Just Use Postgres!

A PARTITION BY clause divides rows processed by a window function into independent groups based on specified expressions.

How it is used
Uses partitioning to calculate per-group values while retaining detailed rows in streaming-play queries.
How deep it goes
Explains grouping, CTE evaluation, duplicate removal, and ordered running frames, but does not cover broader window-function internals.
Examples
Demonstrates per-song play totals, repeated totals beside users, and running totals ordered by user ID.
What you can do after
Apply it via SQL to compute independent group totals and ordered cumulative results without collapsing detail rows.

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Related concepts

These guides are generated from the text of Manning books by Manning's knowledge graph and link to the sections they draw on. The full books are available on liveBook and at manning.com.