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Snapshots all four versioned Docusaurus sections at v6.1.0, cut from master after the version-cutting tooling (#39837) and broken-internal- links fixes (#40102) landed. Captures fresh auto-generated content and freezes data dependencies so the historical snapshot stays correct. Versioning behavior: lastVersion stays at current for every section, so the canonical URLs (/docs/..., /admin-docs/..., /developer-docs/..., /components/...) continue to render content from master. The current version is consistently labeled "Next" with an unreleased banner, and 6.1.0 is a historical pin accessible only via its explicit version segment. Component playground: previously disabled: true in versions-config.json, now enabled and versioned. The plugin block in docusaurus.config.ts was already gated only by the disabled flag, so no other code changes were needed to bring it back online. Snapshot includes: - All MDX content for the four sections. - Auto-gen captured fresh: 74 database pages (engine spec metadata), ~1,800 API reference files (openapi.json), 59 component pages (Storybook stories). - Data imports frozen at cut time into snapshot-local _versioned_data/ dirs: versioned_docs/version-6.1.0/_versioned_data/src/data/databases.json (canonical 80-database diagnostics from master, preserved by the generator's input-hash cache) admin_docs_versioned_docs/version-6.1.0/_versioned_data/data/countries.json admin_docs_versioned_docs/version-6.1.0/_versioned_data/static/feature-flags.json developer_docs_versioned_docs/version-6.1.0/_versioned_data/static/data/components.json - Import paths in deeply-nested files rewritten so they still resolve from one directory deeper inside the snapshot. Verified via full yarn build: exit 0, no broken links surfaced by onBrokenLinks: throw. Anchor warnings present are pre-existing on master (community#superset-community-calendar) and unrelated.
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919 B
JSON
2 lines
919 B
JSON
{"schema":{"properties":{"aggregates":{"description":"The keys are the name of the aggregate column to be created, and the values specify the details of how to apply the aggregation. If an operator requires additional options, these can be passed here to be unpacked in the operator call. The following numpy operators are supported: average, argmin, argmax, cumsum, cumprod, max, mean, median, nansum, nanmin, nanmax, nanmean, nanmedian, min, percentile, prod, product, std, sum, var. Any options required by the operator can be passed to the `options` object.\n\nIn the example, a new column `first_quantile` is created based on values in the column `my_col` using the `percentile` operator with the `q=0.25` parameter.","example":{"first_quantile":{"column":"my_col","operator":"percentile","options":{"q":0.25}}},"type":"object"}},"type":"object","title":"ChartDataAggregateOptionsSchema"},"schemaType":"response"}
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