feat(connectors): add MongoDB connector (#305) (#310)
* refactor(connectors): split KtxDialect into core and KtxSqlDialect
Separate the dialect contract into a driver-agnostic core (display/ref
formatting and type mapping) and a SQL-only extension (query generators).
The catalog and entity-details paths resolve the core dialect for any
snapshot driver, so it must stay free of SQL generation; this is the
prerequisite refactor for adding non-SQL primary sources.
- KtxDialect keeps type, formatDisplayRef, parseDisplayRef,
columnDisplayTablePartCount, mapDataType, mapToDimensionType
- KtxSqlDialect extends it with quoteIdentifier, formatTableName, and the
query/sample/statistics generators; the 7 SQL dialects implement it
- add getSqlDialectForDriver for SQL drivers; the 7 connectors and the
relationship-benchmark harness consume it
- thread the relationship pipeline (profiling/validation/composite/
discovery) as KtxSqlDialect | null so a non-SQL source skips coverage SQL
and its candidates stay in review; local-enrichment builds the SQL
dialect only when the connector advertises readOnlySql
Pure extraction: no behavior change for the existing 7 drivers.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
* feat(connectors): add MongoDB connector for issue #305
Add a read-only MongoDB connector that treats a database as a primary
context source: collections map to tables and inferred top-level fields to
columns. MongoDB is the first non-SQL source (readOnlySql: false), so
ktx sql and metric compilation do not apply, but its collections flow
through ingest, descriptions, and relationship discovery.
- schema-inference: infer a flat column schema from the most recent
sample_size documents (by _id desc, or order_by for non-ObjectId keys).
Union BSON types per field, mark multi-type fields mixed (string), keep
sub-documents/arrays as a single opaque json column, derive nullability
from presence, treat _id as the primary key
- connector: KtxMongoDbScanConnector behind an injectable client seam;
strictly read-only (find/listCollections/estimatedDocumentCount only),
no executeReadOnly; resolves env:/file: via resolveKtxConfigReference
- core-only KtxMongoDbDialect and a live-database introspection adapter
- wire the mongodb driver: driver union, dialect registry, driver
registration (scopeConfigKey databases), mongodbConnectionSchema,
connection-drivers, normalizeDriver, the live-database route, and the
ktx setup picker. ktx sql is refused by the read-only SQL capability gate
- tests: schema inference, connector snapshot via a fake client, dialect,
driver-schema parsing, and the ktx sql rejection
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
* docs(integrations): document the MongoDB primary source
Add a MongoDB section to the primary-sources reference: connection config
(url, databases, enabled_tables, sample_size, order_by), mongodb+srv/TLS/
Atlas notes, the schema-inference explainer, a features matrix, and the
non-SQL caveat. Update the frontmatter and connection field reference.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
* fix(connectors): address review blockers on the MongoDB connector
- introspect: skip estimatedDocumentCount for views. The count command is
rejected on a MongoDB view (CommandNotSupportedOnView), so counting a view
aborted introspect for the whole connection; compute estimatedRows only for
real collections, as ClickHouse does.
- sl: refuse a semantic-layer query against a non-SQL connection instead of
defaulting it to the Postgres dialect. compileLocalSlQuery (the shared CLI +
MCP path) now rejects a driver with no SQL dialect via the new
isSqlQueryableDriver authority, keeping MongoDB context-only per issue #305.
- tests: cover input.tableScope and the empty-scope skip for the Mongo
connector (the scan layer does not post-filter), the view no-count path, and
the ktx sl query refusal for a mongodb connection.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
* polish(mongodb): compute sampled nullCount and document sampling caveats
Address the non-blocking review notes:
- sampleColumn now counts null/absent values over the sampled window instead of
returning nullCount: null, since the documents are already in hand
- warn that a custom order_by must be indexed (an unindexed sort hits MongoDB's
in-memory sort limit on large collections) in the connection schema and docs
- note that sampled values for nested fields are stringified, not faithfully
serialized, so the json opacity is deliberate
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
* docs(examples): add a MongoDB connector example
A manual, container-backed example mirroring examples/postgres-historic:
- docker-compose.yml + init/seed.js seed a representative dataset (nested
documents, arrays, a Decimal128, a mixed-type field, a nullable field, an
ObjectId reference, and a view) on first container start
- scripts/smoke.sh + introspect-smoke.mjs assert the connector's inferred
schema with no LLM credentials — the same introspection entry point ktx
ingest's database-schema stage uses, including the view-no-count path
- README.md documents the smoke and a full keyless ktx ingest run
(claude-code LLM + managed sentence-transformers embeddings)
Works with Docker Compose or podman compose. Verified end to end.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
* chore: ignore examples/** in knip to fix dead-code false positives
The MongoDB connector example files (examples/mongodb/init/seed.js and
examples/mongodb/scripts/introspect-smoke.mjs) are used at runtime but were
flagged as unused by knip. Add examples/** to the ignore array, matching the
existing .context/** entry.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_0114qQV8fJ5a5ME3XbMVRzbL
* fix(mongodb): refuse non-SQL connections before SQL analysis
`ktx sql` and the MCP sql_execution tool resolved a SQL-analysis dialect
(falling back to Postgres for a non-SQL driver) and ran read-only
validation before the connector capability gate refused the connection.
For a MongoDB connection that spun up the parser/daemon and produced
Postgres parser diagnostics instead of a clean non-SQL refusal.
Route both entry points through a shared assertSqlQueryableConnection
guard before dialect selection, mirroring compileLocalSlQuery. The
federated duckdb path has no driver and is exempted at each call site.
Add CLI and MCP regression tests asserting validation/connector work
never starts for a MongoDB connection.
* fix(mongodb): pass CI gates (dialect boundary, secrets, setup test)
Three latent failures in the connector surfaced once CI ran on the branch:
- connector.ts imported the concrete KtxMongoDbDialect, which the connector
dialect-import boundary forbids. Route it through getDialectForDriver('mongodb')
and widen inferKtxMongoCollectionColumns to the base KtxDialect (it only uses
mapDataType/mapToDimensionType).
- detect-secrets flagged a test ObjectId hex and the mongodb+srv example URL;
annotate both with allowlist pragmas.
- the "shows every supported database" setup test omitted the new MongoDB option.
---------
Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Co-authored-by: Luca Martial <48870843+luca-martial@users.noreply.github.com>
Co-authored-by: Luca Martial <lucamrtl@gmail.com>
Co-authored-by: Andrey Avtomonov <andreybavt@gmail.com>
2026-06-29 15:17:56 +02:00
|
|
|
import type { KtxSqlDialect } from '../../context/connections/dialects.js';
|
test: split cli tests from source tree (#216)
* feat(cli): define full warehouse dialect contract
* test(cli): keep dialect edge tests focused
* fix(cli): stabilize dialect contract foundation
* refactor(connectors): own read-only query preparation
* refactor(connectors): resolve dialects through registry
* refactor(connectors): keep concrete dialect classes internal
* chore(workspace): enforce dialect import boundary
* refactor(cli): resolve relationship dialect at scan boundary
* refactor(cli): use dialect display parsing for entity details
* refactor(cli): use dialect display parsing for warehouse catalog
* refactor(cli): use dialect SQL in relationship workflows
* test(cli): verify solid dialect scan workflow closure
* test: split cli tests from source tree
* refactor(cli): standardize BigQuery scope listing
* feat(sqlite): implement connector scope listing
* test(connectors): cover required table listing
* feat(cli): add warehouse driver registry
* refactor(setup): route scope discovery through driver registry
* refactor(cli): route local query execution through driver registry
* refactor(historic-sql): route dialect support through driver registry
* refactor(cli): test warehouse connections through driver registry
* fix(cli): close driver registry type export gaps
* Improve setup daemon diagnostics
* refactor(setup): centralize rail-prefixed diagnostics + query-history fallback
Extract errorMessage, writePrefixedLines, and flushPrefixedBufferedCommandOutput
into clack.ts so the setup wizard, managed daemons, and embedding/agent steps
share one rail-formatted writer. setup-databases.ts also adds a
"disable query history and retry" option when the schema-context build fails
and query history is the likely culprit, surfaced via a new
failed-query-history-unavailable status.
* fix(cli): carry catalog through the picker so BigQuery/Snowflake/SQL Server scope filters match
The setup picker's KtxTableListEntry was a 2-level { schema, name }, so
qualifiedTableId always wrote db.name into enabled_tables. When BigQuery,
Snowflake, or SQL Server later ran fast ingest, their introspect step filtered
the scope set with scopedTableNames(scope, { catalog: projectId|database, db })
— catalog was non-null on the introspect side but null in the scope refs, so
every entry was rejected, the live-database adapter staged zero table files,
and detect() failed with 'Adapter "live-database" did not recognize fetched
source output'.
Align the picker boundary with the canonical 3-level KtxTableRef:
- Add catalog: string | null to KtxTableListEntry.
- BigQuery/Snowflake/SQL Server listTables populate catalog from the
resolved projectId / database; Postgres/MySQL/ClickHouse/SQLite set null.
- qualifiedTableId emits catalog.schema.name when catalog is non-null
(resolveEnabledTables already accepts the 3-part shape) and
schemasFromEnabledTables now goes through parseDottedTableEntry so it
recovers the schema correctly from both 2-part and 3-part entries.
- Export parseDottedTableEntry from enabled-tables.ts (@internal) for picker
reuse.
Update listTables expectations in all seven connector tests and the setup /
picker test fixtures. Add a picker regression test that covers the
catalog-bearing round-trip (save + refine).
* fix(cli): allow debug telemetry under opt-out env
2026-05-26 08:49:05 +02:00
|
|
|
import {
|
|
|
|
|
columnDisplayPartCount,
|
|
|
|
|
formatDialectDisplayRef,
|
|
|
|
|
formatDialectTableName,
|
|
|
|
|
limitOffsetClause,
|
|
|
|
|
parseDialectDisplayRef,
|
|
|
|
|
} from '../../context/connections/dialect-helpers.js';
|
chore(workspace): gate dead-code with knip production mode (#196)
* refactor(workspace): relocate @ktx/llm source into packages/cli/src/llm
* refactor(workspace): rewrite @ktx/llm imports to relative paths
* refactor(workspace): fold internal packages into cli
* chore(workspace): gate dead-code with knip production mode
Turn on production-mode knip plus an autofix run in pre-commit and the
`pnpm dead-code` script, document the `/** @internal */` convention for
test-only exports in AGENTS.md, annotate test-only exports across the
CLI with that JSDoc, and drop dead exports/wrappers the new gate
surfaced (e.g. `cli-project.ts`, `lookerRuntimeSourceToFileAdapterSource`,
`createLocalScanEnrichmentProvidersFromConfig`,
`PGLITE_OWNER_PROCESS_BACKEND_CAPABILITIES`, stale type re-exports).
Replace the loose `ignoreIssues` allowlist in `knip.json` with explicit
production entries so cross-package barrel leaks are caught.
* refactor(cli): delete internal barrel index.ts files
The 34 `index.ts` re-export barrels inside `packages/cli/src/` were
holdovers from the pre-fold multi-workspace structure. Post-fold-in they
served no production purpose: external consumers go through the single
package main entry, and in-repo callers mostly imported through them
only because the path was short. Internally, knip flagged most barrel
re-exports as production-dead (only reached via tests).
This change:
- Deletes every internal barrel except `packages/cli/src/index.ts`
(the published package entry).
- Rewrites ~270 source/test files to import each name directly from
the file that defines it.
- Moves `tools/warehouse-verification/index.ts` to
`create-warehouse-verification-tools.ts` (the function it defined
locally) and updates its single consumer.
- Renames `search/backend-conformance.ts` → `.test-utils.ts` to match
the existing test-helper file convention.
- Deletes 13 dead test-only chains (dbt-descriptions/*,
live-database/extracted-schema, live-database/structural-sync,
relationship-* feedback/review chain) plus their tests and a
cascading orphan integration test.
- Updates test mocks that pointed at deleted barrel paths
(notion-client, connector barrels in scan/local-scan-connectors
tests) to mock the source files instead.
- Points the maintainer benchmark script
(`scripts/relationship-benchmark-report.mjs`) at source files
instead of `dist/context/scan/index.js`.
- Drops the barrel `!` entries from `knip.json`; adds explicit
production entries only for the benchmark code reached via dist by
the maintainer script.
Net: 413 files changed, ~1.2k insertions, ~9.4k deletions.
`pnpm run dead-code` (Biome + knip default + knip production) and
`pnpm run type-check` are clean; 2277 tests pass.
* refactor(workspace): rename @ktx/cli to @kaelio/ktx and pack it directly
Promote the CLI workspace package to the public name `@kaelio/ktx` and
drop the separate `scripts/build-public-npm-package.mjs` wrapper. The
CLI package is now publishable in place (`publishConfig.access: public`,
`provenance: true`), so artifact packing uses `pnpm pack` against
`packages/cli/` instead of assembling a parallel package tree.
Updates all workspace filter invocations, docs, tests, and release
readiness checks to reference the new package name, and folds the
tarball-name helper into `scripts/public-npm-release-metadata.mjs`.
* docs: align "agent clients" and "data agents" terminology
Replace "client agents" with "agent clients" and "database agents" with
"data agents" across AGENTS.md, README.md, the docs-site copy, and the
matching setup-agents test description, matching the canonical
vocabulary in docs/terminology.md.
Also moves packages/cli/tsconfig.json's tsBuildInfoFile from
node_modules/.cache/ to dist/.tsbuildinfo so incremental builds survive
node_modules reinstalls.
* refactor(release): single source of truth for package version
Make packages/cli/package.json the single source of truth for the
@kaelio/ktx version. publicNpmPackageVersion() now reads it directly,
so artifact filenames, release-readiness checks, and the Python wheel
version all derive from one field. The duplicate
release-policy.json.publicNpmPackageVersion is removed.
Previously the two fields could drift: tarballs were named
kaelio-ktx-0.4.1.tgz while internally containing
@kaelio/ktx@0.0.0-private.
- update-public-release-version.mjs rewrites both Python pyproject.toml
files (ktx-daemon, ktx-sl) alongside the npm package.jsons,
normalizing the version for PEP 440 (e.g. 0.1.0-rc.2 -> 0.1.0rc2).
- semantic-release-config.cjs adds the two pyproject.toml files to
@semantic-release/git assets so the release commit back to main
carries every version source in lockstep.
- The six "?? '0.0.0-private'" fallback literals across the CLI are
replaced with "?? getKtxCliPackageInfo().version", and
createDefaultKtxMcpServer makes its version arg required.
- docs/release.md describes the actual commit-back model: the dev tree
always reflects the most recent release; no sentinel pin to
maintain.
Verified: pnpm run artifacts:build now produces
kaelio-ktx-0.4.1.tgz and kaelio_ktx-0.4.1-py3-none-any.whl with
@kaelio/ktx@0.4.1 inside. Full type-check, dead-code, and
2287 vitests + 173 script tests pass.
* refactor(cli): inject embedding provider resolution and detect sentence-transformers runtime
Make resolveProjectEmbeddingProvider and runtimeIo injectable in ingest and
scan command entrypoints so tests can stub them, and teach
resolvePublicIngestRuntimeRequirements to flag the local-embeddings runtime
feature when ktx.yaml selects sentence-transformers.
* chore(cli): mark buildLocalStatsStatus and LocalStatsStatus as @internal
Both symbols are consumed only by status-project.test.ts. Annotating with
/** @internal */ keeps knip's production-mode check clean without changing
runtime behavior.
* fix(cli): use real package metadata in print-command-tree
The stubbed package name embedded a forbidden product identifier that
tripped the boundary check in CI. Read the metadata from package.json
instead — keeps the rendered tree unchanged and removes a duplicate
source of truth.
* feat(cli): show embedding coverage in `ktx status`, drop duplicate disk counts
Inline `(N embedded)` next to the Wiki scope counts and Semantic-layer
source counts, computed with `SUM(embedding_json IS NOT NULL)` over
`knowledge_pages` and `local_sl_sources`. Rename the "Knowledge" label to
"Wiki" (canonical per `docs/terminology.md`) and rename the matching
`localStats.knowledgePages` field to `localStats.wikiPages`.
Drop `wiki=N md` and `semantic-layer=N yaml` from the Disk row — those
duplicated the per-surface rows above. Disk now reports only actual byte
usage (db, cache, raw-sources). The unused `wikiGlobalMarkdownCount` /
`semanticLayerYamlCount` fields, the `isMarkdownEntry` / `isYamlEntry`
helpers, and the `filter` arg on `summarizeDir` are removed.
2026-05-21 15:28:58 +02:00
|
|
|
import type { KtxSchemaDimensionType, KtxTableRef } from '../../context/scan/types.js';
|
2026-05-10 23:12:26 +02:00
|
|
|
|
2026-05-10 23:51:24 +02:00
|
|
|
type PostgresTableNameRef = Pick<KtxTableRef, 'name'> & Partial<Pick<KtxTableRef, 'catalog' | 'db'>>;
|
2026-05-10 23:12:26 +02:00
|
|
|
|
test: split cli tests from source tree (#216)
* feat(cli): define full warehouse dialect contract
* test(cli): keep dialect edge tests focused
* fix(cli): stabilize dialect contract foundation
* refactor(connectors): own read-only query preparation
* refactor(connectors): resolve dialects through registry
* refactor(connectors): keep concrete dialect classes internal
* chore(workspace): enforce dialect import boundary
* refactor(cli): resolve relationship dialect at scan boundary
* refactor(cli): use dialect display parsing for entity details
* refactor(cli): use dialect display parsing for warehouse catalog
* refactor(cli): use dialect SQL in relationship workflows
* test(cli): verify solid dialect scan workflow closure
* test: split cli tests from source tree
* refactor(cli): standardize BigQuery scope listing
* feat(sqlite): implement connector scope listing
* test(connectors): cover required table listing
* feat(cli): add warehouse driver registry
* refactor(setup): route scope discovery through driver registry
* refactor(cli): route local query execution through driver registry
* refactor(historic-sql): route dialect support through driver registry
* refactor(cli): test warehouse connections through driver registry
* fix(cli): close driver registry type export gaps
* Improve setup daemon diagnostics
* refactor(setup): centralize rail-prefixed diagnostics + query-history fallback
Extract errorMessage, writePrefixedLines, and flushPrefixedBufferedCommandOutput
into clack.ts so the setup wizard, managed daemons, and embedding/agent steps
share one rail-formatted writer. setup-databases.ts also adds a
"disable query history and retry" option when the schema-context build fails
and query history is the likely culprit, surfaced via a new
failed-query-history-unavailable status.
* fix(cli): carry catalog through the picker so BigQuery/Snowflake/SQL Server scope filters match
The setup picker's KtxTableListEntry was a 2-level { schema, name }, so
qualifiedTableId always wrote db.name into enabled_tables. When BigQuery,
Snowflake, or SQL Server later ran fast ingest, their introspect step filtered
the scope set with scopedTableNames(scope, { catalog: projectId|database, db })
— catalog was non-null on the introspect side but null in the scope refs, so
every entry was rejected, the live-database adapter staged zero table files,
and detect() failed with 'Adapter "live-database" did not recognize fetched
source output'.
Align the picker boundary with the canonical 3-level KtxTableRef:
- Add catalog: string | null to KtxTableListEntry.
- BigQuery/Snowflake/SQL Server listTables populate catalog from the
resolved projectId / database; Postgres/MySQL/ClickHouse/SQLite set null.
- qualifiedTableId emits catalog.schema.name when catalog is non-null
(resolveEnabledTables already accepts the 3-part shape) and
schemasFromEnabledTables now goes through parseDottedTableEntry so it
recovers the schema correctly from both 2-part and 3-part entries.
- Export parseDottedTableEntry from enabled-tables.ts (@internal) for picker
reuse.
Update listTables expectations in all seven connector tests and the setup /
picker test fixtures. Add a picker regression test that covers the
catalog-bearing round-trip (save + refine).
* fix(cli): allow debug telemetry under opt-out env
2026-05-26 08:49:05 +02:00
|
|
|
/** @internal */
|
feat(connectors): add MongoDB connector (#305) (#310)
* refactor(connectors): split KtxDialect into core and KtxSqlDialect
Separate the dialect contract into a driver-agnostic core (display/ref
formatting and type mapping) and a SQL-only extension (query generators).
The catalog and entity-details paths resolve the core dialect for any
snapshot driver, so it must stay free of SQL generation; this is the
prerequisite refactor for adding non-SQL primary sources.
- KtxDialect keeps type, formatDisplayRef, parseDisplayRef,
columnDisplayTablePartCount, mapDataType, mapToDimensionType
- KtxSqlDialect extends it with quoteIdentifier, formatTableName, and the
query/sample/statistics generators; the 7 SQL dialects implement it
- add getSqlDialectForDriver for SQL drivers; the 7 connectors and the
relationship-benchmark harness consume it
- thread the relationship pipeline (profiling/validation/composite/
discovery) as KtxSqlDialect | null so a non-SQL source skips coverage SQL
and its candidates stay in review; local-enrichment builds the SQL
dialect only when the connector advertises readOnlySql
Pure extraction: no behavior change for the existing 7 drivers.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
* feat(connectors): add MongoDB connector for issue #305
Add a read-only MongoDB connector that treats a database as a primary
context source: collections map to tables and inferred top-level fields to
columns. MongoDB is the first non-SQL source (readOnlySql: false), so
ktx sql and metric compilation do not apply, but its collections flow
through ingest, descriptions, and relationship discovery.
- schema-inference: infer a flat column schema from the most recent
sample_size documents (by _id desc, or order_by for non-ObjectId keys).
Union BSON types per field, mark multi-type fields mixed (string), keep
sub-documents/arrays as a single opaque json column, derive nullability
from presence, treat _id as the primary key
- connector: KtxMongoDbScanConnector behind an injectable client seam;
strictly read-only (find/listCollections/estimatedDocumentCount only),
no executeReadOnly; resolves env:/file: via resolveKtxConfigReference
- core-only KtxMongoDbDialect and a live-database introspection adapter
- wire the mongodb driver: driver union, dialect registry, driver
registration (scopeConfigKey databases), mongodbConnectionSchema,
connection-drivers, normalizeDriver, the live-database route, and the
ktx setup picker. ktx sql is refused by the read-only SQL capability gate
- tests: schema inference, connector snapshot via a fake client, dialect,
driver-schema parsing, and the ktx sql rejection
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
* docs(integrations): document the MongoDB primary source
Add a MongoDB section to the primary-sources reference: connection config
(url, databases, enabled_tables, sample_size, order_by), mongodb+srv/TLS/
Atlas notes, the schema-inference explainer, a features matrix, and the
non-SQL caveat. Update the frontmatter and connection field reference.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
* fix(connectors): address review blockers on the MongoDB connector
- introspect: skip estimatedDocumentCount for views. The count command is
rejected on a MongoDB view (CommandNotSupportedOnView), so counting a view
aborted introspect for the whole connection; compute estimatedRows only for
real collections, as ClickHouse does.
- sl: refuse a semantic-layer query against a non-SQL connection instead of
defaulting it to the Postgres dialect. compileLocalSlQuery (the shared CLI +
MCP path) now rejects a driver with no SQL dialect via the new
isSqlQueryableDriver authority, keeping MongoDB context-only per issue #305.
- tests: cover input.tableScope and the empty-scope skip for the Mongo
connector (the scan layer does not post-filter), the view no-count path, and
the ktx sl query refusal for a mongodb connection.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
* polish(mongodb): compute sampled nullCount and document sampling caveats
Address the non-blocking review notes:
- sampleColumn now counts null/absent values over the sampled window instead of
returning nullCount: null, since the documents are already in hand
- warn that a custom order_by must be indexed (an unindexed sort hits MongoDB's
in-memory sort limit on large collections) in the connection schema and docs
- note that sampled values for nested fields are stringified, not faithfully
serialized, so the json opacity is deliberate
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
* docs(examples): add a MongoDB connector example
A manual, container-backed example mirroring examples/postgres-historic:
- docker-compose.yml + init/seed.js seed a representative dataset (nested
documents, arrays, a Decimal128, a mixed-type field, a nullable field, an
ObjectId reference, and a view) on first container start
- scripts/smoke.sh + introspect-smoke.mjs assert the connector's inferred
schema with no LLM credentials — the same introspection entry point ktx
ingest's database-schema stage uses, including the view-no-count path
- README.md documents the smoke and a full keyless ktx ingest run
(claude-code LLM + managed sentence-transformers embeddings)
Works with Docker Compose or podman compose. Verified end to end.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
* chore: ignore examples/** in knip to fix dead-code false positives
The MongoDB connector example files (examples/mongodb/init/seed.js and
examples/mongodb/scripts/introspect-smoke.mjs) are used at runtime but were
flagged as unused by knip. Add examples/** to the ignore array, matching the
existing .context/** entry.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_0114qQV8fJ5a5ME3XbMVRzbL
* fix(mongodb): refuse non-SQL connections before SQL analysis
`ktx sql` and the MCP sql_execution tool resolved a SQL-analysis dialect
(falling back to Postgres for a non-SQL driver) and ran read-only
validation before the connector capability gate refused the connection.
For a MongoDB connection that spun up the parser/daemon and produced
Postgres parser diagnostics instead of a clean non-SQL refusal.
Route both entry points through a shared assertSqlQueryableConnection
guard before dialect selection, mirroring compileLocalSlQuery. The
federated duckdb path has no driver and is exempted at each call site.
Add CLI and MCP regression tests asserting validation/connector work
never starts for a MongoDB connection.
* fix(mongodb): pass CI gates (dialect boundary, secrets, setup test)
Three latent failures in the connector surfaced once CI ran on the branch:
- connector.ts imported the concrete KtxMongoDbDialect, which the connector
dialect-import boundary forbids. Route it through getDialectForDriver('mongodb')
and widen inferKtxMongoCollectionColumns to the base KtxDialect (it only uses
mapDataType/mapToDimensionType).
- detect-secrets flagged a test ObjectId hex and the mongodb+srv example URL;
annotate both with allowlist pragmas.
- the "shows every supported database" setup test omitted the new MongoDB option.
---------
Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Co-authored-by: Luca Martial <48870843+luca-martial@users.noreply.github.com>
Co-authored-by: Luca Martial <lucamrtl@gmail.com>
Co-authored-by: Andrey Avtomonov <andreybavt@gmail.com>
2026-06-29 15:17:56 +02:00
|
|
|
export class KtxPostgresDialect implements KtxSqlDialect {
|
test: split cli tests from source tree (#216)
* feat(cli): define full warehouse dialect contract
* test(cli): keep dialect edge tests focused
* fix(cli): stabilize dialect contract foundation
* refactor(connectors): own read-only query preparation
* refactor(connectors): resolve dialects through registry
* refactor(connectors): keep concrete dialect classes internal
* chore(workspace): enforce dialect import boundary
* refactor(cli): resolve relationship dialect at scan boundary
* refactor(cli): use dialect display parsing for entity details
* refactor(cli): use dialect display parsing for warehouse catalog
* refactor(cli): use dialect SQL in relationship workflows
* test(cli): verify solid dialect scan workflow closure
* test: split cli tests from source tree
* refactor(cli): standardize BigQuery scope listing
* feat(sqlite): implement connector scope listing
* test(connectors): cover required table listing
* feat(cli): add warehouse driver registry
* refactor(setup): route scope discovery through driver registry
* refactor(cli): route local query execution through driver registry
* refactor(historic-sql): route dialect support through driver registry
* refactor(cli): test warehouse connections through driver registry
* fix(cli): close driver registry type export gaps
* Improve setup daemon diagnostics
* refactor(setup): centralize rail-prefixed diagnostics + query-history fallback
Extract errorMessage, writePrefixedLines, and flushPrefixedBufferedCommandOutput
into clack.ts so the setup wizard, managed daemons, and embedding/agent steps
share one rail-formatted writer. setup-databases.ts also adds a
"disable query history and retry" option when the schema-context build fails
and query history is the likely culprit, surfaced via a new
failed-query-history-unavailable status.
* fix(cli): carry catalog through the picker so BigQuery/Snowflake/SQL Server scope filters match
The setup picker's KtxTableListEntry was a 2-level { schema, name }, so
qualifiedTableId always wrote db.name into enabled_tables. When BigQuery,
Snowflake, or SQL Server later ran fast ingest, their introspect step filtered
the scope set with scopedTableNames(scope, { catalog: projectId|database, db })
— catalog was non-null on the introspect side but null in the scope refs, so
every entry was rejected, the live-database adapter staged zero table files,
and detect() failed with 'Adapter "live-database" did not recognize fetched
source output'.
Align the picker boundary with the canonical 3-level KtxTableRef:
- Add catalog: string | null to KtxTableListEntry.
- BigQuery/Snowflake/SQL Server listTables populate catalog from the
resolved projectId / database; Postgres/MySQL/ClickHouse/SQLite set null.
- qualifiedTableId emits catalog.schema.name when catalog is non-null
(resolveEnabledTables already accepts the 3-part shape) and
schemasFromEnabledTables now goes through parseDottedTableEntry so it
recovers the schema correctly from both 2-part and 3-part entries.
- Export parseDottedTableEntry from enabled-tables.ts (@internal) for picker
reuse.
Update listTables expectations in all seven connector tests and the setup /
picker test fixtures. Add a picker regression test that covers the
catalog-bearing round-trip (save + refine).
* fix(cli): allow debug telemetry under opt-out env
2026-05-26 08:49:05 +02:00
|
|
|
readonly type = 'postgres' as const;
|
2026-05-10 23:12:26 +02:00
|
|
|
|
2026-05-10 23:51:24 +02:00
|
|
|
private readonly typeMappings: Record<string, KtxSchemaDimensionType> = {
|
2026-05-10 23:12:26 +02:00
|
|
|
timestamp: 'time',
|
|
|
|
|
'timestamp without time zone': 'time',
|
|
|
|
|
'timestamp with time zone': 'time',
|
|
|
|
|
timestamptz: 'time',
|
|
|
|
|
datetime: 'time',
|
|
|
|
|
date: 'time',
|
|
|
|
|
time: 'time',
|
|
|
|
|
integer: 'number',
|
|
|
|
|
int: 'number',
|
|
|
|
|
int2: 'number',
|
|
|
|
|
int4: 'number',
|
|
|
|
|
int8: 'number',
|
|
|
|
|
bigint: 'number',
|
|
|
|
|
smallint: 'number',
|
|
|
|
|
decimal: 'number',
|
|
|
|
|
numeric: 'number',
|
|
|
|
|
float: 'number',
|
|
|
|
|
float4: 'number',
|
|
|
|
|
float8: 'number',
|
|
|
|
|
'double precision': 'number',
|
|
|
|
|
real: 'number',
|
|
|
|
|
money: 'number',
|
|
|
|
|
text: 'string',
|
|
|
|
|
varchar: 'string',
|
|
|
|
|
'character varying': 'string',
|
|
|
|
|
char: 'string',
|
|
|
|
|
character: 'string',
|
|
|
|
|
uuid: 'string',
|
|
|
|
|
json: 'string',
|
|
|
|
|
jsonb: 'string',
|
|
|
|
|
boolean: 'boolean',
|
|
|
|
|
bool: 'boolean',
|
|
|
|
|
};
|
|
|
|
|
|
|
|
|
|
quoteIdentifier(identifier: string): string {
|
|
|
|
|
return `"${identifier.replace(/"/g, '""')}"`;
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
formatTableName(table: PostgresTableNameRef): string {
|
test: split cli tests from source tree (#216)
* feat(cli): define full warehouse dialect contract
* test(cli): keep dialect edge tests focused
* fix(cli): stabilize dialect contract foundation
* refactor(connectors): own read-only query preparation
* refactor(connectors): resolve dialects through registry
* refactor(connectors): keep concrete dialect classes internal
* chore(workspace): enforce dialect import boundary
* refactor(cli): resolve relationship dialect at scan boundary
* refactor(cli): use dialect display parsing for entity details
* refactor(cli): use dialect display parsing for warehouse catalog
* refactor(cli): use dialect SQL in relationship workflows
* test(cli): verify solid dialect scan workflow closure
* test: split cli tests from source tree
* refactor(cli): standardize BigQuery scope listing
* feat(sqlite): implement connector scope listing
* test(connectors): cover required table listing
* feat(cli): add warehouse driver registry
* refactor(setup): route scope discovery through driver registry
* refactor(cli): route local query execution through driver registry
* refactor(historic-sql): route dialect support through driver registry
* refactor(cli): test warehouse connections through driver registry
* fix(cli): close driver registry type export gaps
* Improve setup daemon diagnostics
* refactor(setup): centralize rail-prefixed diagnostics + query-history fallback
Extract errorMessage, writePrefixedLines, and flushPrefixedBufferedCommandOutput
into clack.ts so the setup wizard, managed daemons, and embedding/agent steps
share one rail-formatted writer. setup-databases.ts also adds a
"disable query history and retry" option when the schema-context build fails
and query history is the likely culprit, surfaced via a new
failed-query-history-unavailable status.
* fix(cli): carry catalog through the picker so BigQuery/Snowflake/SQL Server scope filters match
The setup picker's KtxTableListEntry was a 2-level { schema, name }, so
qualifiedTableId always wrote db.name into enabled_tables. When BigQuery,
Snowflake, or SQL Server later ran fast ingest, their introspect step filtered
the scope set with scopedTableNames(scope, { catalog: projectId|database, db })
— catalog was non-null on the introspect side but null in the scope refs, so
every entry was rejected, the live-database adapter staged zero table files,
and detect() failed with 'Adapter "live-database" did not recognize fetched
source output'.
Align the picker boundary with the canonical 3-level KtxTableRef:
- Add catalog: string | null to KtxTableListEntry.
- BigQuery/Snowflake/SQL Server listTables populate catalog from the
resolved projectId / database; Postgres/MySQL/ClickHouse/SQLite set null.
- qualifiedTableId emits catalog.schema.name when catalog is non-null
(resolveEnabledTables already accepts the 3-part shape) and
schemasFromEnabledTables now goes through parseDottedTableEntry so it
recovers the schema correctly from both 2-part and 3-part entries.
- Export parseDottedTableEntry from enabled-tables.ts (@internal) for picker
reuse.
Update listTables expectations in all seven connector tests and the setup /
picker test fixtures. Add a picker regression test that covers the
catalog-bearing round-trip (save + refine).
* fix(cli): allow debug telemetry under opt-out env
2026-05-26 08:49:05 +02:00
|
|
|
return formatDialectTableName(table, this.quoteIdentifier.bind(this), 'ansi');
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
formatDisplayRef(table: PostgresTableNameRef): string {
|
|
|
|
|
return formatDialectDisplayRef(table, 'ansi');
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
parseDisplayRef(display: string): KtxTableRef | null {
|
|
|
|
|
return parseDialectDisplayRef(display, 'ansi');
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
columnDisplayTablePartCount(): 1 | 2 | 3 {
|
|
|
|
|
return columnDisplayPartCount('ansi');
|
2026-05-10 23:12:26 +02:00
|
|
|
}
|
|
|
|
|
|
|
|
|
|
mapDataType(nativeType: string): string {
|
|
|
|
|
return nativeType;
|
|
|
|
|
}
|
|
|
|
|
|
2026-05-10 23:51:24 +02:00
|
|
|
mapToDimensionType(nativeType: string): KtxSchemaDimensionType {
|
2026-05-10 23:12:26 +02:00
|
|
|
if (!nativeType) {
|
|
|
|
|
return 'string';
|
|
|
|
|
}
|
|
|
|
|
const lower = nativeType.toLowerCase().trim();
|
|
|
|
|
const normalized = lower.includes('(') ? lower.split('(')[0]!.trim() : lower;
|
|
|
|
|
if (this.typeMappings[normalized]) {
|
|
|
|
|
return this.typeMappings[normalized];
|
|
|
|
|
}
|
|
|
|
|
if (normalized.includes('time') || normalized.includes('date')) {
|
|
|
|
|
return 'time';
|
|
|
|
|
}
|
|
|
|
|
if (
|
|
|
|
|
normalized.includes('int') ||
|
|
|
|
|
normalized.includes('num') ||
|
|
|
|
|
normalized.includes('dec') ||
|
|
|
|
|
normalized.includes('float') ||
|
|
|
|
|
normalized.includes('double')
|
|
|
|
|
) {
|
|
|
|
|
return 'number';
|
|
|
|
|
}
|
|
|
|
|
if (normalized.includes('bool')) {
|
|
|
|
|
return 'boolean';
|
|
|
|
|
}
|
|
|
|
|
return 'string';
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
generateSampleQuery(tableName: string, limit: number, columns?: string[]): string {
|
|
|
|
|
const columnList =
|
|
|
|
|
columns && columns.length > 0 ? columns.map((column) => this.quoteIdentifier(column)).join(', ') : '*';
|
|
|
|
|
return `SELECT ${columnList} FROM ${tableName} LIMIT ${limit}`;
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
generateColumnSampleQuery(tableName: string, columnName: string, limit: number): string {
|
|
|
|
|
const quotedColumn = this.quoteIdentifier(columnName);
|
|
|
|
|
return `SELECT ${quotedColumn} FROM ${tableName} WHERE ${quotedColumn} IS NOT NULL AND TRIM(CAST(${quotedColumn} AS TEXT)) != '' LIMIT ${limit}`;
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
getRandomSampleFilter(samplePct: number): string {
|
|
|
|
|
if (samplePct <= 0 || samplePct >= 1) {
|
|
|
|
|
return '';
|
|
|
|
|
}
|
|
|
|
|
return `RANDOM() < ${samplePct}`;
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
getTableSampleClause(samplePct: number): string {
|
|
|
|
|
if (samplePct <= 0 || samplePct >= 1) {
|
|
|
|
|
return '';
|
|
|
|
|
}
|
|
|
|
|
return `TABLESAMPLE SYSTEM (${samplePct * 100})`;
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
getLimitOffsetClause(limit: number, offset?: number): string {
|
test: split cli tests from source tree (#216)
* feat(cli): define full warehouse dialect contract
* test(cli): keep dialect edge tests focused
* fix(cli): stabilize dialect contract foundation
* refactor(connectors): own read-only query preparation
* refactor(connectors): resolve dialects through registry
* refactor(connectors): keep concrete dialect classes internal
* chore(workspace): enforce dialect import boundary
* refactor(cli): resolve relationship dialect at scan boundary
* refactor(cli): use dialect display parsing for entity details
* refactor(cli): use dialect display parsing for warehouse catalog
* refactor(cli): use dialect SQL in relationship workflows
* test(cli): verify solid dialect scan workflow closure
* test: split cli tests from source tree
* refactor(cli): standardize BigQuery scope listing
* feat(sqlite): implement connector scope listing
* test(connectors): cover required table listing
* feat(cli): add warehouse driver registry
* refactor(setup): route scope discovery through driver registry
* refactor(cli): route local query execution through driver registry
* refactor(historic-sql): route dialect support through driver registry
* refactor(cli): test warehouse connections through driver registry
* fix(cli): close driver registry type export gaps
* Improve setup daemon diagnostics
* refactor(setup): centralize rail-prefixed diagnostics + query-history fallback
Extract errorMessage, writePrefixedLines, and flushPrefixedBufferedCommandOutput
into clack.ts so the setup wizard, managed daemons, and embedding/agent steps
share one rail-formatted writer. setup-databases.ts also adds a
"disable query history and retry" option when the schema-context build fails
and query history is the likely culprit, surfaced via a new
failed-query-history-unavailable status.
* fix(cli): carry catalog through the picker so BigQuery/Snowflake/SQL Server scope filters match
The setup picker's KtxTableListEntry was a 2-level { schema, name }, so
qualifiedTableId always wrote db.name into enabled_tables. When BigQuery,
Snowflake, or SQL Server later ran fast ingest, their introspect step filtered
the scope set with scopedTableNames(scope, { catalog: projectId|database, db })
— catalog was non-null on the introspect side but null in the scope refs, so
every entry was rejected, the live-database adapter staged zero table files,
and detect() failed with 'Adapter "live-database" did not recognize fetched
source output'.
Align the picker boundary with the canonical 3-level KtxTableRef:
- Add catalog: string | null to KtxTableListEntry.
- BigQuery/Snowflake/SQL Server listTables populate catalog from the
resolved projectId / database; Postgres/MySQL/ClickHouse/SQLite set null.
- qualifiedTableId emits catalog.schema.name when catalog is non-null
(resolveEnabledTables already accepts the 3-part shape) and
schemasFromEnabledTables now goes through parseDottedTableEntry so it
recovers the schema correctly from both 2-part and 3-part entries.
- Export parseDottedTableEntry from enabled-tables.ts (@internal) for picker
reuse.
Update listTables expectations in all seven connector tests and the setup /
picker test fixtures. Add a picker regression test that covers the
catalog-bearing round-trip (save + refine).
* fix(cli): allow debug telemetry under opt-out env
2026-05-26 08:49:05 +02:00
|
|
|
return limitOffsetClause(limit, offset);
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
getTopClause(_limit: number): string {
|
|
|
|
|
return '';
|
2026-05-10 23:12:26 +02:00
|
|
|
}
|
|
|
|
|
|
|
|
|
|
getNullCountExpression(column: string): string {
|
|
|
|
|
return `COUNT(*) FILTER (WHERE ${column} IS NULL)`;
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
getDistinctCountExpression(column: string): string {
|
|
|
|
|
return `COUNT(DISTINCT ${column})`;
|
|
|
|
|
}
|
|
|
|
|
|
test: split cli tests from source tree (#216)
* feat(cli): define full warehouse dialect contract
* test(cli): keep dialect edge tests focused
* fix(cli): stabilize dialect contract foundation
* refactor(connectors): own read-only query preparation
* refactor(connectors): resolve dialects through registry
* refactor(connectors): keep concrete dialect classes internal
* chore(workspace): enforce dialect import boundary
* refactor(cli): resolve relationship dialect at scan boundary
* refactor(cli): use dialect display parsing for entity details
* refactor(cli): use dialect display parsing for warehouse catalog
* refactor(cli): use dialect SQL in relationship workflows
* test(cli): verify solid dialect scan workflow closure
* test: split cli tests from source tree
* refactor(cli): standardize BigQuery scope listing
* feat(sqlite): implement connector scope listing
* test(connectors): cover required table listing
* feat(cli): add warehouse driver registry
* refactor(setup): route scope discovery through driver registry
* refactor(cli): route local query execution through driver registry
* refactor(historic-sql): route dialect support through driver registry
* refactor(cli): test warehouse connections through driver registry
* fix(cli): close driver registry type export gaps
* Improve setup daemon diagnostics
* refactor(setup): centralize rail-prefixed diagnostics + query-history fallback
Extract errorMessage, writePrefixedLines, and flushPrefixedBufferedCommandOutput
into clack.ts so the setup wizard, managed daemons, and embedding/agent steps
share one rail-formatted writer. setup-databases.ts also adds a
"disable query history and retry" option when the schema-context build fails
and query history is the likely culprit, surfaced via a new
failed-query-history-unavailable status.
* fix(cli): carry catalog through the picker so BigQuery/Snowflake/SQL Server scope filters match
The setup picker's KtxTableListEntry was a 2-level { schema, name }, so
qualifiedTableId always wrote db.name into enabled_tables. When BigQuery,
Snowflake, or SQL Server later ran fast ingest, their introspect step filtered
the scope set with scopedTableNames(scope, { catalog: projectId|database, db })
— catalog was non-null on the introspect side but null in the scope refs, so
every entry was rejected, the live-database adapter staged zero table files,
and detect() failed with 'Adapter "live-database" did not recognize fetched
source output'.
Align the picker boundary with the canonical 3-level KtxTableRef:
- Add catalog: string | null to KtxTableListEntry.
- BigQuery/Snowflake/SQL Server listTables populate catalog from the
resolved projectId / database; Postgres/MySQL/ClickHouse/SQLite set null.
- qualifiedTableId emits catalog.schema.name when catalog is non-null
(resolveEnabledTables already accepts the 3-part shape) and
schemasFromEnabledTables now goes through parseDottedTableEntry so it
recovers the schema correctly from both 2-part and 3-part entries.
- Export parseDottedTableEntry from enabled-tables.ts (@internal) for picker
reuse.
Update listTables expectations in all seven connector tests and the setup /
picker test fixtures. Add a picker regression test that covers the
catalog-bearing round-trip (save + refine).
* fix(cli): allow debug telemetry under opt-out env
2026-05-26 08:49:05 +02:00
|
|
|
textLengthExpression(columnSql: string): string {
|
|
|
|
|
return `LENGTH(CAST(${columnSql} AS TEXT))`;
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
castToText(columnSql: string): string {
|
|
|
|
|
return `CAST(${columnSql} AS TEXT)`;
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
getSampleValueAggregation(innerSql: string): string {
|
|
|
|
|
return `(SELECT STRING_AGG(CAST(value AS TEXT), CHR(31)) FROM (${innerSql}) AS relationship_profile_values)`;
|
|
|
|
|
}
|
|
|
|
|
|
2026-05-10 23:12:26 +02:00
|
|
|
generateCardinalitySampleQuery(tableName: string, columnName: string, sampleSize: number): string {
|
|
|
|
|
return `
|
|
|
|
|
WITH sampled AS (
|
|
|
|
|
SELECT ${columnName} AS val
|
|
|
|
|
FROM ${tableName}
|
|
|
|
|
WHERE ${columnName} IS NOT NULL
|
|
|
|
|
LIMIT ${sampleSize}
|
|
|
|
|
)
|
|
|
|
|
SELECT COUNT(DISTINCT val) AS cardinality
|
|
|
|
|
FROM sampled
|
|
|
|
|
`;
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
generateDistinctValuesQuery(tableName: string, columnName: string, limit: number): string {
|
|
|
|
|
return `
|
|
|
|
|
SELECT DISTINCT ${columnName}::text AS val
|
|
|
|
|
FROM ${tableName}
|
|
|
|
|
WHERE ${columnName} IS NOT NULL
|
|
|
|
|
ORDER BY val
|
|
|
|
|
LIMIT ${limit}
|
|
|
|
|
`;
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
generateColumnStatisticsQuery(schemaName: string, tableName: string): string | null {
|
|
|
|
|
return `
|
|
|
|
|
SELECT
|
|
|
|
|
s.attname AS column_name,
|
|
|
|
|
CASE
|
|
|
|
|
WHEN s.n_distinct > 0 THEN s.n_distinct::bigint
|
|
|
|
|
WHEN s.n_distinct < 0 THEN (-s.n_distinct * c.reltuples)::bigint
|
|
|
|
|
ELSE NULL
|
|
|
|
|
END AS estimated_cardinality
|
|
|
|
|
FROM pg_stats s
|
|
|
|
|
JOIN pg_class c ON c.relname = s.tablename
|
|
|
|
|
JOIN pg_namespace n ON c.relnamespace = n.oid AND n.nspname = s.schemaname
|
|
|
|
|
WHERE s.schemaname = '${schemaName.replace(/'/g, "''")}'
|
|
|
|
|
AND s.tablename = '${tableName.replace(/'/g, "''")}'
|
|
|
|
|
AND s.n_distinct IS NOT NULL
|
|
|
|
|
`;
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
generateRandomizedCardinalitySampleQuery(tableName: string, columnName: string, sampleSize: number): string {
|
|
|
|
|
return `
|
|
|
|
|
WITH sampled AS (
|
|
|
|
|
SELECT ${columnName} AS val
|
|
|
|
|
FROM ${tableName}
|
|
|
|
|
WHERE ${columnName} IS NOT NULL
|
|
|
|
|
ORDER BY RANDOM()
|
|
|
|
|
LIMIT ${sampleSize}
|
|
|
|
|
)
|
|
|
|
|
SELECT COUNT(DISTINCT val) AS cardinality
|
|
|
|
|
FROM sampled
|
|
|
|
|
`;
|
|
|
|
|
}
|
|
|
|
|
}
|