Extension 1.4.0: saved analyses of every kind re-run as the viewer
(fields they cannot analyze are dropped), owner-or-shared READ through
core record locks with owner-only writes (and a database CHECK so a
private row can never lose its read owner), personal stars, schedules
that run as the owner and mail only recipients who could run the analysis
themselves, CSV/XLSX export, the SQL Workbench handoff, an analysis
dashboard widget, and an Analyses home built from standard widgets.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Watches evaluate a metric per time bucket as their owner (SPIKE, DROP,
OUT_OF_RANGE, NEW_CATEGORY, NULL_RATE_CREEP with robust baselines) on a
hidden scheduled process, raise and resolve data.analysis.anomaly alerts
through QAlerts, and offer Evaluate now / Enable / Disable record actions
and a preview endpoint (extension 1.3.0). Pivot and crosstab labels are
human (Yes/No, Average Annual Salary). Contingent fields: a watch's saved
analysis depends on its table, table names use the core tables PVS, and
analyzable/excluded fields pick from the chosen table's fields.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
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>
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>
james.maesandClaude Opus 5.5