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feat(query-history): scope mining to modeled schemas by default (#258)
* feat(query-history): structure SQL analysis table refs * feat(query-history): qualify SQL analysis table refs * feat(query-history): wire modeled scope floor through ingest * chore(query-history): verify scope floor * test(query-history): align daemon SQL batch endpoint contract * feat(query-history): build scope from same-run scan catalog * feat(query-history): fail open on scope-floor catalog failures * chore(query-history): verify scope-floor v1 closure * refactor(query-history): share scope membership * feat(setup): apply derived query history filters * docs: document derived query history filters * fix(query-history): redact filter picker LLM prompt SQL * fix(setup): run filter picker SQL analysis through managed daemon * chore(query-history): verify filter picker v1 closure * fix(query-history): fail open on partial service-account attribution * fix(query-history): aggregate BigQuery users by execution count * fix(query-history): aggregate Snowflake users by execution count * fix(query-history): use BigQuery query info hash
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@ -148,6 +148,13 @@ fix the prerequisite. If the later schema-context build also fails, interactive
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setup offers **Disable query history and retry** so you can finish database
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setup with `connections.<id>.context.queryHistory.enabled: false`.
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After the schema scan completes, setup can derive query-history service-account
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filters from in-scope history. If **ktx** finds clear operational roles, it
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prints each proposed exclusion with a reason and writes
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`connections.<id>.context.queryHistory.filters.serviceAccounts` only when you
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apply the proposal. In non-interactive setup with `--yes`, the proposal is
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applied automatically. Existing `serviceAccounts` blocks are never overwritten.
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For BigQuery, the remediation tells you to grant `roles/bigquery.resourceViewer`
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on the BigQuery project, or grant a custom role that contains
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`bigquery.jobs.listAll`.
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