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https://issues.apache.org/jira/browse/LUCENE-8920?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16886513#comment-16886513
]
Hoss Man commented on LUCENE-8920:
----------------------------------
[~sokolov] - your revert on branch_8_2 seems to have broken most of the
lucene/analysis/kuromoji tests with a common root cause...
{noformat}
[junit4] ERROR 0.44s J0 | TestFactories.test <<<
[junit4] > Throwable #1: java.lang.ExceptionInInitializerError
[junit4] > at
__randomizedtesting.SeedInfo.seed([B1B94D34D92CDA93:39ED72EE77D0B76B]:0)
[junit4] > at
org.apache.lucene.analysis.ja.dict.TokenInfoDictionary.getInstance(TokenInfoDictionary.java:62)
[junit4] > at
org.apache.lucene.analysis.ja.JapaneseTokenizer.<init>(JapaneseTokenizer.java:215)
[junit4] > at
org.apache.lucene.analysis.ja.JapaneseTokenizerFactory.create(JapaneseTokenizerFactory.java:150)
[junit4] > at
org.apache.lucene.analysis.ja.JapaneseTokenizerFactory.create(JapaneseTokenizerFactory.java:82)
[junit4] > at
org.apache.lucene.analysis.ja.TestFactories$FactoryAnalyzer.createComponents(TestFactories.java:174)
[junit4] > at
org.apache.lucene.analysis.Analyzer.tokenStream(Analyzer.java:199)
[junit4] > at
org.apache.lucene.analysis.BaseTokenStreamTestCase.checkResetException(BaseTokenStreamTestCase.java:427)
[junit4] > at
org.apache.lucene.analysis.BaseTokenStreamTestCase.checkRandomData(BaseTokenStreamTestCase.java:546)
[junit4] > at
org.apache.lucene.analysis.ja.TestFactories.doTestTokenizer(TestFactories.java:81)
[junit4] > at
org.apache.lucene.analysis.ja.TestFactories.test(TestFactories.java:60)
[junit4] > at java.lang.Thread.run(Thread.java:748)
[junit4] > Caused by: java.lang.RuntimeException: Cannot load
TokenInfoDictionary.
[junit4] > at
org.apache.lucene.analysis.ja.dict.TokenInfoDictionary$SingletonHolder.<clinit>(TokenInfoDictionary.java:71)
[junit4] > ... 46 more
[junit4] > Caused by: org.apache.lucene.index.IndexFormatTooNewException:
Format version is not supported (resource
org.apache.lucene.store.InputStreamDataInput@5f0dbb2f): 7 (needs to be between
6 and 6)
[junit4] > at
org.apache.lucene.codecs.CodecUtil.checkHeaderNoMagic(CodecUtil.java:216)
[junit4] > at
org.apache.lucene.codecs.CodecUtil.checkHeader(CodecUtil.java:198)
[junit4] > at org.apache.lucene.util.fst.FST.<init>(FST.java:275)
[junit4] > at org.apache.lucene.util.fst.FST.<init>(FST.java:263)
[junit4] > at
org.apache.lucene.analysis.ja.dict.TokenInfoDictionary.<init>(TokenInfoDictionary.java:47)
[junit4] > at
org.apache.lucene.analysis.ja.dict.TokenInfoDictionary.<init>(TokenInfoDictionary.java:54)
[junit4] > at
org.apache.lucene.analysis.ja.dict.TokenInfoDictionary.<init>(TokenInfoDictionary.java:32)
[junit4] > at
org.apache.lucene.analysis.ja.dict.TokenInfoDictionary$SingletonHolder.<clinit>(TokenInfoDictionary.java:69)
[junit4] > ... 46 more
{noformat}
...perhaps due to "conflicting reverts" w/ LUCENE-8907 / LUCENE-8778 ?
/cc [~tomoko]
> Reduce size of FSTs due to use of direct-addressing encoding
> -------------------------------------------------------------
>
> Key: LUCENE-8920
> URL: https://issues.apache.org/jira/browse/LUCENE-8920
> Project: Lucene - Core
> Issue Type: Improvement
> Reporter: Mike Sokolov
> Priority: Major
> Time Spent: 20m
> Remaining Estimate: 0h
>
> Some data can lead to worst-case ~4x RAM usage due to this optimization.
> Several ideas were suggested to combat this on the mailing list:
> bq. I think we can improve thesituation here by tracking, per-FST instance,
> the size increase we're seeing while building (or perhaps do a preliminary
> pass before building) in order to decide whether to apply the encoding.
> bq. we could also make the encoding a bit more efficient. For instance I
> noticed that arc metadata is pretty large in some cases (in the 10-20 bytes)
> which make gaps very costly. Associating each label with a dense id and
> having an intermediate lookup, ie. lookup label -> id and then id->arc offset
> instead of doing label->arc directly could save a lot of space in some cases?
> Also it seems that we are repeating the label in the arc metadata when
> array-with-gaps is used, even though it shouldn't be necessary since the
> label is implicit from the address?
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