LUCENE-10062: Switch to numeric doc values for encoding taxonomy ordinals #443

gsmiller · 2021-11-15T22:00:37Z

Description

In benchmarks, using numeric doc values to store taxonomy facet ordinals shows almost a 400% qps improvement in browse-related taxonomy-based tasks (instead of custom delta-encoding into a binary doc values field). This PR changes the encoding of facet ordinals, while maintaining backwards compatibility with 8.x indexes.

Solution

This change moves to standard numeric doc values for storing taxonomy ordinals.

Tests

No new tests added. Lots of existing test coverage for taxonomy faceting functionality.

NOTE: I will add new testing that ensures backwards compatibility support remains with 8.x. I'm putting this PR out for feedback while doing so.

Checklist

Please review the following and check all that apply:

I have reviewed the guidelines for How to Contribute and my code conforms to the standards described there to the best of my ability.
I have created a Jira issue and added the issue ID to my pull request title.
I have given Lucene maintainers access to contribute to my PR branch. (optional but recommended)
I have developed this patch against the main branch.
I have run ./gradlew check.
I have added tests for my changes.

…nals

gsmiller · 2021-11-15T22:01:24Z

NOTE: I'm working on additional testing but hoping to get some early feedback on this approach, particularly as backwards-compatibility is concerned. I'll update with more tests and a CHANGES entry.

lucene/facet/src/java/org/apache/lucene/facet/FacetsConfig.java

jpountz

I wonder if we could make the bw compat logic simpler by creating a SortedNumericDocValues instance that is backed by BinaryDocValues for 8.x indices?

lucene/facet/src/java/org/apache/lucene/facet/FacetUtils.java

gsmiller · 2021-11-16T22:33:51Z

I wonder if we could make the bw compat logic simpler by creating a SortedNumericDocValues instance that is backed by BinaryDocValues for 8.x indices?

I like this idea. Thanks! I'll give it a shot and see if it makes things a bit cleaner.

gsmiller · 2021-11-17T02:34:10Z

OK should be ready for another look now. Thanks for the feedback everyone!

lucene/facet/src/java/org/apache/lucene/facet/taxonomy/BackCompatSortedNumericDocValues.java

jpountz · 2021-11-17T15:33:51Z

lucene/facet/src/java/org/apache/lucene/facet/taxonomy/DocValuesOrdinalsReader.java

+      // so sub-class decoding implementations are honored:
+      SortedNumericDocValues wrapped =
+          BackCompatSortedNumericDocValues.wrap(
+              context.reader().getBinaryDocValues(field), this::decode);


I'm confused: this is the only call site that takes a decoder, and yet it uses the same decoding logic as the default logic. Do we need to expose a decoding function at all?

It's a bit wonky for sure, but I think this is necessary to truly be backwards compatible. The issue is that users could be extending DocValuesOrdinalsReader and implementing their own custom decode logic. So this "hook" makes sure we delegate to the decode method in case the user is doing that.

jpountz · 2021-11-17T15:34:55Z

lucene/facet/src/java/org/apache/lucene/facet/FacetUtils.java

+  @Deprecated
+  public static boolean usesOlderBinaryOrdinals(LeafReader reader) {
+    return reader.getMetaData().getCreatedVersionMajor() <= 8;
+  }


instead of just being a flag, maybe this could abstract reading ordinals from the index?

public static SortedNumericDocValues getOrdinals(LeafReader reader, String field) {

Makes sense. I went ahead and make this change. Thanks for the suggestion.

mikemccand

I think this one is very close -- I left mostly minor comments. Thanks @gsmiller!

mikemccand · 2021-11-17T15:30:00Z

lucene/facet/src/java/org/apache/lucene/facet/FacetUtils.java

+   */
+  @Deprecated
+  public static boolean usesOlderBinaryOrdinals(LeafReader reader) {
+    return reader.getMetaData().getCreatedVersionMajor() <= 8;


This is checking if the particular segment was created with version 8 or earlier? Hmm, or, is this method .getCreatedVersionMajor() referring to the whole index, even though it is this one segment that stored it?

It refers to the whole index indeed.

Interesting. I think it works either way for this purpose, but I had assumed it was at the segment level. Thanks @jpountz for clarifying.

Maybe we should (separately) update the javadocs for this method to make it more clear that even though this is a leaf's metadata class, this method (and maybe also the other two) are really global properties to the index?

lucene/facet/src/java/org/apache/lucene/facet/FacetsConfig.java

lucene/facet/src/java/org/apache/lucene/facet/taxonomy/BackCompatSortedNumericDocValues.java

lucene/facet/src/java/org/apache/lucene/facet/taxonomy/CachedOrdinalsReader.java

lucene/facet/src/java/org/apache/lucene/facet/taxonomy/TaxonomyFacetLabels.java

...ne/facet/src/test/org/apache/lucene/facet/taxonomy/TestBackCompatSortedNumericDocValues.java

...ne/facet/src/test/org/apache/lucene/facet/taxonomy/directory/TestBackwardsCompatibility.java

…ic ordering of facet labels

…xo-facet-opto-on9

…ting

gsmiller · 2021-11-18T15:03:52Z

Maybe clarify that full index rebuild means start a new 9.x index and index all your documents. I.e. merely re-indexing all docs into your previous (8.x created) index is not sufficient.

Makes sense. Will tweak the language.

gsmiller · 2021-11-18T18:40:47Z

For posterity, I re-ran benchmarks with this most recent change, comparing against branch_9_0 as a baseline (so it includes all the back-compat checks and such). Results still look very good:

                            TaskQPS baseline      StdDevQPS candidate      StdDev                Pct diff p-value
           HighTermDayOfYearSort      127.51     (15.4%)      124.04     (12.1%)   -2.7% ( -26% -   29%) 0.534
                      TermDTSort       96.36     (15.3%)       94.54     (15.1%)   -1.9% ( -28% -   33%) 0.695
               HighTermMonthSort      135.11     (13.3%)      133.31     (16.3%)   -1.3% ( -27% -   32%) 0.778
                          Fuzzy1       63.28      (8.3%)       62.55      (8.6%)   -1.2% ( -16% -   17%) 0.662
                        PKLookup      152.55      (2.1%)      151.14      (1.8%)   -0.9% (  -4% -    3%) 0.139
             MedIntervalsOrdered       82.93      (3.3%)       82.62      (2.4%)   -0.4% (  -5% -    5%) 0.681
       BrowseDayOfYearSSDVFacets       14.45     (14.5%)       14.40     (14.1%)   -0.3% ( -25% -   33%) 0.945
            HighTermTitleBDVSort      106.51     (21.3%)      106.18     (21.6%)   -0.3% ( -35% -   54%) 0.964
                         MedTerm     1238.25      (2.3%)     1235.30      (2.5%)   -0.2% (  -4% -    4%) 0.753
             LowIntervalsOrdered      112.01      (2.2%)      111.75      (1.9%)   -0.2% (  -4% -    4%) 0.724
                         Prefix3      246.62      (2.2%)      246.10      (2.2%)   -0.2% (  -4% -    4%) 0.764
                 MedSloppyPhrase       72.18      (2.9%)       72.06      (3.0%)   -0.2% (  -5% -    5%) 0.861
                   OrHighNotHigh      530.67      (2.9%)      529.98      (2.1%)   -0.1% (  -5% -    5%) 0.873
                    OrHighNotLow      581.58      (3.3%)      581.28      (2.3%)   -0.1% (  -5% -    5%) 0.954
           BrowseMonthSSDVFacets       14.32      (4.5%)       14.32      (4.5%)   -0.0% (  -8% -    9%) 0.977
                       MedPhrase      200.56      (1.9%)      200.54      (1.9%)   -0.0% (  -3% -    3%) 0.992
                    OrHighNotMed      600.02      (2.7%)      599.99      (3.1%)   -0.0% (  -5% -    5%) 0.995
                          IntNRQ       56.03      (3.5%)       56.03      (3.5%)    0.0% (  -6% -    7%) 0.995
            HighIntervalsOrdered        1.86      (2.2%)        1.86      (2.2%)    0.1% (  -4% -    4%) 0.908
                     LowSpanNear       44.66      (1.7%)       44.70      (1.6%)    0.1% (  -3% -    3%) 0.874
                        HighTerm      974.66      (3.1%)      975.67      (2.8%)    0.1% (  -5% -    6%) 0.912
                         Respell       59.10      (1.8%)       59.17      (1.9%)    0.1% (  -3% -    3%) 0.849
                      HighPhrase       30.48      (1.9%)       30.52      (1.8%)    0.1% (  -3% -    3%) 0.819
                       OrHighLow      310.16      (2.6%)      310.61      (2.3%)    0.1% (  -4% -    5%) 0.849
                         LowTerm     1419.43      (2.7%)     1421.64      (2.5%)    0.2% (  -4% -    5%) 0.851
                     MedSpanNear       14.05      (2.3%)       14.08      (2.2%)    0.2% (  -4% -    4%) 0.798
                       LowPhrase      218.41      (4.5%)      218.81      (4.7%)    0.2% (  -8% -    9%) 0.899
                   OrNotHighHigh      531.27      (2.5%)      532.41      (2.1%)    0.2% (  -4% -    4%) 0.768
                 LowSloppyPhrase       23.57      (1.6%)       23.63      (1.8%)    0.2% (  -3% -    3%) 0.649
                HighSloppyPhrase       34.72      (2.0%)       34.83      (2.0%)    0.3% (  -3% -    4%) 0.595
                    OrNotHighLow      786.86      (2.0%)      789.56      (1.9%)    0.3% (  -3% -    4%) 0.580
                    HighSpanNear       32.06      (2.9%)       32.17      (2.6%)    0.3% (  -4% -    5%) 0.690
                      AndHighMed      210.90      (3.2%)      212.04      (3.1%)    0.5% (  -5% -    7%) 0.589
                        Wildcard      106.13      (3.0%)      106.83      (3.3%)    0.7% (  -5% -    7%) 0.505
                       OrHighMed       60.24      (2.3%)       60.69      (2.4%)    0.7% (  -3% -    5%) 0.318
                     AndHighHigh       54.27      (3.3%)       54.70      (3.3%)    0.8% (  -5% -    7%) 0.448
                      AndHighLow      514.75      (2.5%)      518.95      (2.3%)    0.8% (  -3% -    5%) 0.284
                      OrHighHigh       25.30      (2.5%)       25.51      (2.3%)    0.8% (  -3% -    5%) 0.274
                    OrNotHighMed      636.45      (2.8%)      643.57      (2.8%)    1.1% (  -4% -    6%) 0.204
                          Fuzzy2       49.98      (7.1%)       50.55      (7.0%)    1.2% ( -12% -   16%) 0.605
        AndHighHighDayTaxoFacets       23.04      (2.6%)       26.15      (2.8%)   13.5% (   7% -   19%) 0.000
         AndHighMedDayTaxoFacets       44.10      (2.3%)       53.02      (3.1%)   20.2% (  14% -   26%) 0.000
            MedTermDayTaxoFacets       22.03      (3.9%)       31.37      (3.7%)   42.4% (  33% -   51%) 0.000
          OrHighMedDayTaxoFacets        6.94      (3.0%)       10.00      (4.2%)   44.0% (  35% -   52%) 0.000
           BrowseMonthTaxoFacets        2.58      (7.7%)       12.74     (71.1%)  393.7% ( 292% -  511%) 0.000
            BrowseDateTaxoFacets        2.43      (7.2%)       12.46     (78.3%)  412.0% ( 304% -  536%) 0.000
       BrowseDayOfYearTaxoFacets        2.43      (7.2%)       12.48     (78.6%)  412.5% ( 304% -  536%) 0.000

gsmiller · 2021-11-18T19:09:54Z

OK, I believe this change is good-to-go now. I think I've addressed all the feedback so far and just did another benchmark run to make sure all the performance benefits are still showing up with the back-compat considerations in place, etc. Please let me know if anyone has additional feedback. Thanks again everyone!

mikemccand

Thanks @gsmiller -- this looks awesome! The performance gains are great :) Shows all the benefits we've accumulated by encoding our default Codec impl for writing/reading multi-valued numeric doc values (SortedNumericDocValues) over time...

lucene/MIGRATE.md

lucene/facet/src/java/org/apache/lucene/facet/FacetsConfig.java

gsmiller · 2021-11-19T14:09:17Z

I believe I've addressed all the PR feedback and got an approval from @mikemccand, so I went ahead and merged. Happy to iterate on this further if anyone has additional comments. Thanks again everyone! Somewhat complicated to make this one back-compat, but I think we ended up with a much cleaner solution thanks to all the feedback.

…nals (apache#443)

gsmiller · 2021-11-19T14:39:05Z

FYI, I'm merging this onto branch_9x as well over in #458 (no need for a review unless someone wants to have a look). I've also updated #264 with the non-back-compat version of this change against main. If someone could have a look at that when you get a chance, I'd appreciate it. It's hopefully a bit easier to reason about since it doesn't require any of the back-compat logic.

jpountz · 2021-11-19T17:45:55Z

I'm getting a test failure that looks caused by this change:

gradlew test --tests TestBackwardsCompatibility.testCreateNewTaxonomy -Dtests.seed=567E100D397BFC2E -Dtests.slow=true -Dtests.badapples=true -Dtests.locale=brx-IN -Dtests.timezone=America/Chicago -Dtests.asserts=true -Dtests.file.encoding=UTF-8

org.apache.lucene.facet.taxonomy.directory.TestBackwardsCompatibility > testCreateNewTaxonomy FAILED
    java.lang.IllegalArgumentException: docs out of order: previous docId=1 current docId=0
        at __randomizedtesting.SeedInfo.seed([567E100D397BFC2E:DE2B08A7CA8D0189]:0)
        at org.apache.lucene.facet.taxonomy.TaxonomyFacetLabels$FacetLabelReader.nextFacetLabel(TaxonomyFacetLabels.java:146)
        at org.apache.lucene.facet.taxonomy.directory.TestBackwardsCompatibility.createNewTaxonomyIndex(TestBackwardsCompatibility.java:228)
        at org.apache.lucene.facet.taxonomy.directory.TestBackwardsCompatibility.testCreateNewTaxonomy(TestBackwardsCompatibility.java:78)
        at java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
        at java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:78)
        at java.base/jdk.internal.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
        at java.base/java.lang.reflect.Method.invoke(Method.java:567)
        at com.carrotsearch.randomizedtesting.RandomizedRunner.invoke(RandomizedRunner.java:1754)
        at com.carrotsearch.randomizedtesting.RandomizedRunner$8.evaluate(RandomizedRunner.java:942)
        at com.carrotsearch.randomizedtesting.RandomizedRunner$9.evaluate(RandomizedRunner.java:978)
        at com.carrotsearch.randomizedtesting.RandomizedRunner$10.evaluate(RandomizedRunner.java:992)
        at org.apache.lucene.util.TestRuleSetupTeardownChained$1.evaluate(TestRuleSetupTeardownChained.java:44)
        at org.apache.lucene.util.AbstractBeforeAfterRule$1.evaluate(AbstractBeforeAfterRule.java:43)
        at org.apache.lucene.util.TestRuleThreadAndTestName$1.evaluate(TestRuleThreadAndTestName.java:45)
        at org.apache.lucene.util.TestRuleIgnoreAfterMaxFailures$1.evaluate(TestRuleIgnoreAfterMaxFailures.java:60)
        at org.apache.lucene.util.TestRuleMarkFailure$1.evaluate(TestRuleMarkFailure.java:44)
        at org.junit.rules.RunRules.evaluate(RunRules.java:20)
        at com.carrotsearch.randomizedtesting.rules.StatementAdapter.evaluate(StatementAdapter.java:36)
        at com.carrotsearch.randomizedtesting.ThreadLeakControl$StatementRunner.run(ThreadLeakControl.java:370)
        at com.carrotsearch.randomizedtesting.ThreadLeakControl.forkTimeoutingTask(ThreadLeakControl.java:819)
        at com.carrotsearch.randomizedtesting.ThreadLeakControl$3.evaluate(ThreadLeakControl.java:470)
        at com.carrotsearch.randomizedtesting.RandomizedRunner.runSingleTest(RandomizedRunner.java:951)
        at com.carrotsearch.randomizedtesting.RandomizedRunner$5.evaluate(RandomizedRunner.java:836)
        at com.carrotsearch.randomizedtesting.RandomizedRunner$6.evaluate(RandomizedRunner.java:887)
        at com.carrotsearch.randomizedtesting.RandomizedRunner$7.evaluate(RandomizedRunner.java:898)
        at org.apache.lucene.util.AbstractBeforeAfterRule$1.evaluate(AbstractBeforeAfterRule.java:43)
        at com.carrotsearch.randomizedtesting.rules.StatementAdapter.evaluate(StatementAdapter.java:36)
        at org.apache.lucene.util.TestRuleStoreClassName$1.evaluate(TestRuleStoreClassName.java:38)
        at com.carrotsearch.randomizedtesting.rules.NoShadowingOrOverridesOnMethodsRule$1.evaluate(NoShadowingOrOverridesOnMethodsRule.java:40)
        at com.carrotsearch.randomizedtesting.rules.NoShadowingOrOverridesOnMethodsRule$1.evaluate(NoShadowingOrOverridesOnMethodsRule.java:40)
        at com.carrotsearch.randomizedtesting.rules.StatementAdapter.evaluate(StatementAdapter.java:36)
        at com.carrotsearch.randomizedtesting.rules.StatementAdapter.evaluate(StatementAdapter.java:36)
        at org.apache.lucene.util.TestRuleAssertionsRequired$1.evaluate(TestRuleAssertionsRequired.java:53)
        at org.apache.lucene.util.AbstractBeforeAfterRule$1.evaluate(AbstractBeforeAfterRule.java:43)
        at org.apache.lucene.util.TestRuleMarkFailure$1.evaluate(TestRuleMarkFailure.java:44)
        at org.apache.lucene.util.TestRuleIgnoreAfterMaxFailures$1.evaluate(TestRuleIgnoreAfterMaxFailures.java:60)
        at org.apache.lucene.util.TestRuleIgnoreTestSuites$1.evaluate(TestRuleIgnoreTestSuites.java:47)
        at org.junit.rules.RunRules.evaluate(RunRules.java:20)
        at com.carrotsearch.randomizedtesting.rules.StatementAdapter.evaluate(StatementAdapter.java:36)
        at com.carrotsearch.randomizedtesting.ThreadLeakControl$StatementRunner.run(ThreadLeakControl.java:370)
        at com.carrotsearch.randomizedtesting.ThreadLeakControl.lambda$forkTimeoutingTask$0(ThreadLeakControl.java:826)
        at java.base/java.lang.Thread.run(Thread.java:831)

gsmiller · 2021-11-19T19:34:02Z

I'm getting a test failure that looks caused by this change

Uh oh. Ok, looking into it. Thanks for letting me know @jpountz

gsmiller · 2021-11-19T19:43:14Z

Ok, silly bug in the test case itself. Fix is here #459. Feel free to have a look if you like, but I think it's simple enough that I'll just merge it after the approval checks pass. (I'll make sure this makes it into branch_9x as well). Thanks for finding this (and apologies).

gsmiller · 2021-11-19T20:41:19Z

OK, pushed the bug fix onto branch_9_0. @jpountz hopefully no more issues related to this change.

jpountz · 2021-11-19T21:12:58Z

Thank you!

gsmiller added 3 commits November 15, 2021 13:09

LUCENE-10062: Switch to numeric doc values for encoding taxonomy ordi…

762b847

…nals

aggressively deprecate ordinals reader support

4d344ba

tweaks

48c2d80

gsmiller commented Nov 15, 2021

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lucene/facet/src/java/org/apache/lucene/facet/FacetsConfig.java Show resolved Hide resolved

jpountz reviewed Nov 16, 2021

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lucene/facet/src/java/org/apache/lucene/facet/FacetUtils.java Outdated Show resolved Hide resolved

add back compat testing

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gsmiller mentioned this pull request Nov 16, 2021

LUCENE-10062: Switch to numeric doc values for encoding taxonomy ordinals (instead of custom binary format) #264

Merged

6 tasks

gsmiller added 2 commits November 16, 2021 14:03

consolidate some logic by implementing SNDV wrapper on top of binary dv

67e7e16

tweak logic for determining whether-or-not back-compat is needed

61c3210

gsmiller added 2 commits November 16, 2021 16:07

add testing for BackCompatSortedNumericDocValues and fixup impl

27802d2

add changes entry

7f4f8eb

jpountz reviewed Nov 17, 2021

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gsmiller mentioned this pull request Nov 17, 2021

LUCENE-10122 Use NumericDocValue to store taxonomy parent array #442

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6 tasks

bug fix

6fc767c

mikemccand reviewed Nov 17, 2021

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gsmiller added 5 commits November 17, 2021 09:55

pr feedback pt1 and fixup back compat test to reflect non-determinist…

37ebc2c

…ic ordering of facet labels

add MIGRATE entry

d4f24ac

have facetutils provide back-compat sndv wrapping logic

aacf8ad

Merge remote-tracking branch 'origin/branch_9_0' into LUCENE-10062-ta…

a377d9c

…xo-facet-opto-on9

tweak MIGRATE and generate new back-compat indicies with 8.11 for tes…

fd34c60

…ting

small tweak to TaxonomyFacetLabels

d86406a

mikemccand approved these changes Nov 19, 2021

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gsmiller merged commit 5fe8f0e into apache:branch_9_0 Nov 19, 2021

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…nals (apache#443)

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LUCENE-10062: Switch to numeric doc values for encoding taxonomy ordinals #443

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LUCENE-10062: Switch to numeric doc values for encoding taxonomy ordinals #443

LUCENE-10062: Switch to numeric doc values for encoding taxonomy ordinals #443

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