analytics

Window functions perform calculations across rows related to the current row. I use them for running totals, rankings, and moving averages. Django's Window expression with functions like RowNumber, Rank, DenseRank provide SQL window function support.

Window functions perform calculations across row sets without grouping. ROWNUMBER assigns unique sequential numbers. RANK/DENSERANK handle ties differently. I use PARTITION BY to reset calculations per group. ORDER BY determines calculation order with

For leaderboards, let the database do ranking. Window functions are fast and expressive. Use them to compute daily top N without Ruby loops.

LATERAL joins enable correlated subqueries in FROM clause. Each row can reference previous table columns. I use LATERAL for top-N-per-group queries. CROSS JOIN LATERAL iterates for each row. LEFT JOIN LATERAL includes rows without matches. Understandi

Advanced aggregations extract insights from data. ROLLUP creates hierarchical subtotals. CUBE generates all possible grouping combinations. GROUPING SETS specifies exact grouping combinations. FILTER clause conditions aggregations. String aggregation