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Deprecate max_token_score field of neural_sparse query #478

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merged 7 commits into from
Nov 22, 2023

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@zhichao-aws zhichao-aws commented Oct 30, 2023

Description

In neural_sparse query, max_token_score field was used for sub-clause pruning of WAND scorer (lucene 9.7). Since we'll upgrade to lucene 9.8 in the next release, the inner logic in lucene changed and we don't need this field any more. We need to deprecate this field. To be more specific, in 2.x, user can still set this field but we'll ignore this and give a warning log. In 3.x, we don't parse this field.

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  • New functionality includes testing.
    • All tests pass
  • New functionality has been documented.
    • New functionality has javadoc added
  • Commits are signed as per the DCO using --signoff

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codecov bot commented Oct 30, 2023

Codecov Report

All modified and coverable lines are covered by tests ✅

Comparison is base (ef19ffa) 80.95% compared to head (617f154) 85.53%.

Additional details and impacted files
@@             Coverage Diff              @@
##                2.x     #478      +/-   ##
============================================
+ Coverage     80.95%   85.53%   +4.58%     
- Complexity      512      516       +4     
============================================
  Files            41       40       -1     
  Lines          1591     1521      -70     
  Branches        247      238       -9     
============================================
+ Hits           1288     1301      +13     
+ Misses          197      112      -85     
- Partials        106      108       +2     

☔ View full report in Codecov by Sentry.
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@zhichao-aws zhichao-aws marked this pull request as ready for review October 30, 2023 03:41
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Check the coverage thing.

@navneet1v
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Since we'll upgrade to lucene 9.8 in the next release, the inner logic in lucene changed and we don't need this field any more.

@zhichao-aws can you share some light around how lucene is taking care of this? Does lucene has added this capability? how does this impact the customer queries and search relevancy who is using this field.

@navneet1v
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@zhichao-aws can you also add results of the tests which has been done, to ensure that if customer doesn't provide this deprecated field the queries are not impacted.

@navneet1v
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@zhichao-aws can you also add details on how we tested the upgrades?

@VisibleForTesting
static final ParseField MAX_TOKEN_SCORE_FIELD = new ParseField("max_token_score");
static final ParseField MAX_TOKEN_SCORE_FIELD = new ParseField("max_token_score").withAllDeprecated();
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can we add the @deprecated annotation on top of this.

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Sure.

@@ -88,7 +93,6 @@ public void testFromXContent_whenBuiltWithOptionals_thenBuildSuccessfully() {
"VECTOR_FIELD": {
"query_text": "string",
"model_id": "string",
"max_token_score": 123.0,
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can we keep a unit test where we are providing the deprecated field and no impact on queries are happening.

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I think we already have this.

@zhichao-aws
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zhichao-aws commented Nov 3, 2023

Since we'll upgrade to lucene 9.8 in the next release, the inner logic in lucene changed and we don't need this field any more.

@zhichao-aws can you share some light around how lucene is taking care of this? Does lucene has added this capability? how does this impact the customer queries and search relevancy who is using this field.

Please refer this lucene PR for more details. In short words, Lucene used ImpactsDISI to skip hits based on minimum competitive score. But lucene contributors found ImpactsDISI does hurt more than it helps on average, because ImpactsDISI adds quite some overhead and the per-clauses minimum scores are usually so low that they don't actually enable skipping hits. Now only top level scoring clause will use ImpactsDISI for pruning. FeatureQuery is not the top level scoring clause, and it won't use the ImpactsDISI. https://github.com/apache/lucene/pull/12490/files#diff-6ca6d673f9d09efdca430f2d5a381fbd862fd74385b778e45ade26fe112bca85

So in our plugin, we don't need to provide the score upperbound for FeatureQuery after lucene 9.8. We conducted some tests, this does reduce neural_sparse latency at a large margin. For 8.8 million docs case the latency was reduced to about 1/3 compared with lucene 9.7 case. This optimization doesn't affect the search result, only improves the speed of searching in shards. So it won't hurt the search relevance. Since we still keep the api compatibility in 2.x, users can still use existing queries, we'll ignore the max_token_score field and give a warning log.

@zhichao-aws
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@zhichao-aws can you also add results of the tests which has been done, to ensure that if customer doesn't provide this deprecated field the queries are not impacted.

The deprecated field was optional in 2.11 release, so customers can always not privide this field.

@zhichao-aws
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Hi @navneet1v , I've added some comments and commits, could you please help review again?

@zhichao-aws
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BTW, this should be merged before we bump version to 2.12.0. For the old code there will be compilation errors due to the changes of lucene internal interface.

Signed-off-by: zhichao-aws <[email protected]>
Signed-off-by: zhichao-aws <[email protected]>
Signed-off-by: zhichao-aws <[email protected]>
Signed-off-by: zhichao-aws <[email protected]>
Signed-off-by: zhichao-aws <[email protected]>
@zhichao-aws
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force push to rebase 2.x

@model-collapse model-collapse self-requested a review November 22, 2023 09:56
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LGTM

@zane-neo zane-neo merged commit 04bf2a4 into opensearch-project:2.x Nov 22, 2023
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4 participants