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docs/admin/circuit-breaker.md

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If you experience a `CircuitBreakingException [parent]` it is because other queries/tasks were running simultaneously and their summed estimate
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exceeded `indices.breaker.total.limit`.
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## Further Reading
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## See also
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[The Circuit Breaker Mechanism in CrateDB]
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docs/connect/index.md

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protocol.
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:::
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:::{rubric} Further reading
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:::{rubric} See also
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:::
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:::::{grid}

docs/connect/java.md

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and the CrateDB JDBC Driver.
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:::
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## Further reading
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## See also
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For testing Java applications against CrateDB, see also documentation
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about {ref}`java-junit` and {ref}`testcontainers`.

docs/start/modelling/fulltext.md

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This blend lets you query by text relevance, numeric filters, and spatial
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constraints, all in one.
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## Further Learning & Resources
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## See also
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* {ref}`Full-text Search <fulltext-search>`: In-depth
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walkthrough of full-text search capabilities.

docs/start/modelling/geospatial.md

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See {ref}`Geo Search <crate-reference:sql_dql_geo_search>` for details.
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## Further Learning & Resources
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## See also
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* Reference manual:
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* {ref}`Geo Search <crate-reference:sql_dql_geo_search>`

docs/start/modelling/json.md

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Object fields are treated as any other column, therefore **`GROUP BY`**,
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**`HAVING`**, and **window functions** are supported.
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## Further Learning & Resources
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## See also
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* Reference Manual:
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* {ref}`Objects <crate-reference:data-types-objects>`

docs/start/modelling/relational.md

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ON c.id = oc.customer_id;
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```
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## Further Learning & Resources
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## See also
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* Reference Manual:
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* How to {ref}`query with joins <crate-reference:sql_joins>`

docs/start/modelling/timeseries.md

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* Supports long‑term retention with performant historic storage.
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* Columnar layout reduces storage footprint and accelerates aggregation queries.
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## Further Learning & Resources
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## See also
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* **Documentation:** {ref}`Advanced Time Series Analysis <timeseries-analysis>`,
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{ref}`Time Series Long Term Storage <timeseries-longterm>`

docs/start/modelling/vector.md

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This ranks results by **vector similarity** to the vector supplied by searching
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top 2 nearest neighbours.
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## Further Learning & Resources
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## See also
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* {ref}`Vector Search <vector-search>`: More details about searching with
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vectors

docs/start/query/ad-hoc.md

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| Full-text & filter | Combine keyword search with structured queries | {ref}`fts` <br> {ref}`crate-reference:fulltext-indices` |
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## Further reading
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## See also
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:::::{grid}
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