Avoid over collecting in Limit or Lucene Operator#123296
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Hi @dnhatn, I've created a changelog YAML for you. |
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Pinging @elastic/es-analytical-engine (Team:Analytics) |
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Thanks Costin! |
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You can use sqren/backport to manually backport by running |
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Currently, we rely on signal propagation for early termination. For example, FROM index | LIMIT 10 can be executed by multiple Drivers: several Drivers to read document IDs and extract fields, and the final Driver to select at most 10 rows. In this scenario, each Lucene Driver can independently collect up to 10 rows until the final Driver has enough rows and signals them to stop collecting. In most cases, this model works fine, but when extracting fields from indices in the warm/cold tier, it can impact performance. This change introduces a Limiter used between LimitOperator and LuceneSourceOperator to avoid over-collecting. We will also need a follow-up to ensure that we do not over-collect between multiple stages of query execution.
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Currently, we rely on signal propagation for early termination. For example, FROM index | LIMIT 10 can be executed by multiple Drivers: several Drivers to read document IDs and extract fields, and the final Driver to select at most 10 rows. In this scenario, each Lucene Driver can independently collect up to 10 rows until the final Driver has enough rows and signals them to stop collecting. In most cases, this model works fine, but when extracting fields from indices in the warm/cold tier, it can impact performance. This change introduces a Limiter used between LimitOperator and LuceneSourceOperator to avoid over-collecting. We will also need a follow-up to ensure that we do not over-collect between multiple stages of query execution.
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Currently, we rely on signal propagation for early termination. For example, FROM index | LIMIT 10 can be executed by multiple Drivers: several Drivers to read document IDs and extract fields, and the final Driver to select at most 10 rows. In this scenario, each Lucene Driver can independently collect up to 10 rows until the final Driver has enough rows and signals them to stop collecting. In most cases, this model works fine, but when extracting fields from indices in the warm/cold tier, it can impact performance. This change introduces a Limiter used between LimitOperator and LuceneSourceOperator to avoid over-collecting. We will also need a follow-up to ensure that we do not over-collect between multiple stages of query execution.
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…23784) * Avoid over collecting in Limit or Lucene Operator (#123296) Currently, we rely on signal propagation for early termination. For example, FROM index | LIMIT 10 can be executed by multiple Drivers: several Drivers to read document IDs and extract fields, and the final Driver to select at most 10 rows. In this scenario, each Lucene Driver can independently collect up to 10 rows until the final Driver has enough rows and signals them to stop collecting. In most cases, this model works fine, but when extracting fields from indices in the warm/cold tier, it can impact performance. This change introduces a Limiter used between LimitOperator and LuceneSourceOperator to avoid over-collecting. We will also need a follow-up to ensure that we do not over-collect between multiple stages of query execution. * Fix compilation after #123784 * fix compile * fix compile
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…123783) * Avoid over collecting in Limit or Lucene Operator (#123296) Currently, we rely on signal propagation for early termination. For example, FROM index | LIMIT 10 can be executed by multiple Drivers: several Drivers to read document IDs and extract fields, and the final Driver to select at most 10 rows. In this scenario, each Lucene Driver can independently collect up to 10 rows until the final Driver has enough rows and signals them to stop collecting. In most cases, this model works fine, but when extracting fields from indices in the warm/cold tier, it can impact performance. This change introduces a Limiter used between LimitOperator and LuceneSourceOperator to avoid over-collecting. We will also need a follow-up to ensure that we do not over-collect between multiple stages of query execution. * Fix compilation after #123784 * fix compile * fix compile
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A follow-up to elastic#123296 to address a potential block leak that may occur when a circuit-breaking exception is triggered while truncating the docs or scores blocks. Relates elastic#123296 (cherry picked from commit 7560e2e)
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A follow-up to elastic#123296 to address a potential block leak that may occur when a circuit-breaking exception is triggered while truncating the docs or scores blocks. Relates elastic#123296 (cherry picked from commit 7560e2e)
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| /** | ||
| * A shared limiter used by multiple drivers to collect hits in parallel without exceeding the output limit. | ||
| * For example, if the query `FROM test-1,test-2 | LIMIT 100` is run with two drivers, and one driver (e.g., querying `test-1`) | ||
| * has collected 60 hits, then the other driver querying `test-2` should collect at most 40 hits. |
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Nice idea!
I wonder if we should make it explicit that this works as long as test-1 and test-2 are on the same node?
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Currently, we rely on signal propagation for early termination. For example,
FROM index | LIMIT 10can be executed by multiple Drivers: several Drivers to read document IDs and extract fields, and the final Driver to select at most 10 rows. In this scenario, each Lucene Driver can independently collect up to 10 rows until the final Driver has enough rows and signals them to stop collecting. In most cases, this model works fine, but when extracting fields from indices in the warm/cold tier, it can impact performance. This change introduces a Limiter used between LimitOperator and LuceneSourceOperator to avoid over-collecting. We will also need a follow-up to ensure that we do not over-collect between multiple stages of query execution.