Commit Graph
3 Commits
Author SHA1 Message Date
james.maesandClaude Opus 5.5 d591d3d7e8 feat(pivot): pivot / group-by explorer and the field-access resolver seam
POST /tables/{table}/pivot (extension 1.1.0): up to 3 row and 2 column
dimensions with date buckets or nice numeric bins, fields from to-one
exposed joins, count/sum/avg/min/max/distinct/percentile measures,
totals, Other-merging by top-N, the privacy guard and a drill per cell.
FieldAnalysisAccessResolver maps fields to FULL / EXACT_MATCH_ONLY /
NONE (core secured-data tiers when present, FieldSecurityLock otherwise);
only FULL fields are analyzable, drills never name others, and exact-run
cache keys include the user's field-access fingerprint.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
2026-10-13 18:56:37 -05:00
james.maesandClaude Opus 5.5 a91f6c5e03 feat(api): /qqq/v1 data-analysis extension, core pushdown backend, analyze permission
UI API extension data-analysis 1.0.0 (capabilities, column-profile,
distinct-values, table-profile, duplicates, runs) with typed
DataAnalysis*V1 schemas and the committed OpenAPI fragment. The analyze
permission is registered through core TableFeaturePermissionsMetaData.
CoreAnalysisBackend pushes percentiles, stddev, null/blank counts, numeric
and date buckets down through the RC.6 aggregate extensions; estimates
sample natively and scale counts, and the stand-in uses one primary-key
bound instead of an IN list. Builds against QQQ 4.1.0-RC.6.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
2026-10-13 17:43:50 -05:00
james.maesandClaude Opus 5.5 261d0213ad feat(engine): column and table profiles, drill-through, privacy guard and exact runs
The phase (b) analysis engine: typed results (metrics with drill
filters, charts as data), column and table profiles, distinct values and
duplicates, AnalysisSecurity (analyze permission, table READ, personalized
table and field security, analyzable/excluded fields), the effective
per-table config, the minimum group size guard, data versions, async exact
runs cached in data_analysis_run, and DataAnalysisService as the facade.
The AnalysisBackend port has an RC.5 stand-in that pushes down what core
supports today and streams the rest with row limits.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
2026-10-13 16:26:15 -05:00