Removed map of subquery to subquery index in favor of storing index as part of DISI wrapper to improve hybrid query latencies by 20% #711
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…s part of disi wrapper to improve hybrid query latencies by 20% Signed-off-by: Martin Gaievski <[email protected]>
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Signed-off-by: Martin Gaievski <[email protected]>
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…s part of DISI wrapper to improve hybrid query latencies by 20% (#711) * Removed map of subquery to subquery index in favor of storing index as part of disi wrapper to improve hybrid query latencies by 20% Signed-off-by: Martin Gaievski <[email protected]> (cherry picked from commit a3bdde5)
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…s part of DISI wrapper to improve hybrid query latencies by 20% (#711) (#712) * Removed map of subquery to subquery index in favor of storing index as part of disi wrapper to improve hybrid query latencies by 20% Signed-off-by: Martin Gaievski <[email protected]> (cherry picked from commit a3bdde5) Co-authored-by: Martin Gaievski <[email protected]>
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…s part of DISI wrapper to improve hybrid query latencies by 20% (#711) * Removed map of subquery to subquery index in favor of storing index as part of disi wrapper to improve hybrid query latencies by 20% Signed-off-by: Martin Gaievski <[email protected]> (cherry picked from commit a3bdde5)
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…s part of DISI wrapper to improve hybrid query latencies by 20% (#711) (#715) * Removed map of subquery to subquery index in favor of storing index as part of disi wrapper to improve hybrid query latencies by 20% Signed-off-by: Martin Gaievski <[email protected]> (cherry picked from commit a3bdde5) Co-authored-by: Martin Gaievski <[email protected]>
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In this PR we're continue to improve latency of hybrid query as part of meta issue #705.
Based on following flamegraph next area that may give high boost is a lookup of sub-query index by the query. That is needed to get index of sub-query and store score of that sub-query for one document (code ref).
Most time (~28%) is taken by store and lookup of the index based on query as a key. Depending on the exact sub-query calculation of its hash code can be slow (hybrid query works with any type of OpenSearch query). That is a problem on large datasets as this is done for each doc by each sub-query.
We can avoid creation and usage of that query to index map by storing sub-query index at time we create collection of DISIWrapers.
As per benchmark results that gives about 20% performance boost. I've run it on 2.13 using noaa OSB workload, all times are in ms:
Before the change (baseline)
After the change:
Issues Resolved
#705
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