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https://issues.apache.org/jira/browse/LUCENE-9663?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17266976#comment-17266976
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Jaison.Bi commented on LUCENE-9663:
-----------------------------------
Thanks for the comment, [~mikemccand]
I added one benchmark test to compare the diff of building OridinalMap.
Still using the data mentioned in previous comment. Each index contains 4
segments.
Index directory size:
||Before||After||
|6.23 GB|5.38 GB|
(I didnot count dvd file size since compound file exist)
See below results:
||Benchmark||Mode||Cnt||Score||Error||Units||
|BuildOrdinalMapBenchmark.buildOrdinalMap_extend_After|avgt|15|2120.204|±
111.956|ms/op|
|BuildOrdinalMapBenchmark.buildOrdinalMap_extend_Before|avgt|15|1217.172|±
57.555|ms/op|
|BuildOrdinalMapBenchmark.buildOrdinalMap_host_After|avgt|15|4.775|±
0.260|ms/op|
|BuildOrdinalMapBenchmark.buildOrdinalMap_host_Before|avgt|15|4.667|±
0.154|ms/op|
|BuildOrdinalMapBenchmark.buildOrdinalMap_obj_After|avgt|15|670.785|±
52.170|ms/op|
|BuildOrdinalMapBenchmark.buildOrdinalMap_obj_Before|avgt|15|557.300|±
80.592|ms/op|
|BuildOrdinalMapBenchmark.buildOrdinalMap_reqid_After|avgt|15|876.092|±
112.798|ms/op|
|BuildOrdinalMapBenchmark.buildOrdinalMap_reqid_Before|avgt|15|515.775|±
61.233|ms/op|
|BuildOrdinalMapBenchmark.buildOrdinalMap_uploadtime_After|avgt|15|167.986|±
5.600|ms/op|
|BuildOrdinalMapBenchmark.buildOrdinalMap_uploadtime_Before|avgt|15|162.752|±
1.934|ms/op|
|BuildOrdinalMapBenchmark.buildOrdinalMap_url_After|avgt|15|667.657|±
18.655|ms/op|
|BuildOrdinalMapBenchmark.buildOrdinalMap_url_Before|avgt|15|524.013|±
27.244|ms/op|
> Adding compression to terms dict from SortedSet/Sorted DocValues
> ----------------------------------------------------------------
>
> Key: LUCENE-9663
> URL: https://issues.apache.org/jira/browse/LUCENE-9663
> Project: Lucene - Core
> Issue Type: Improvement
> Components: core/codecs
> Reporter: Jaison.Bi
> Priority: Trivial
> Time Spent: 10m
> Remaining Estimate: 0h
>
> Elasticsearch keyword field uses SortedSet DocValues. In our applications,
> “keyword” is the most frequently used field type.
> LUCENE-7081 has done prefix-compression for docvalues terms dict. We can do
> better by replacing prefix-compression with LZ4. In one of our application,
> the dvd files were ~41% smaller with this change(from 1.95 GB to 1.15 GB).
> I've done simple tests based on the real application data, comparing the
> write/merge time cost, and the on-disk *.dvd file size(after merge into 1
> segment).
> || ||Before||After||
> |Write time cost(ms)|591972|618200|
> |Merge time cost(ms)|270661|294663|
> |*.dvd file size(GB)|1.95|1.15|
> This feature is only for the high-cardinality fields.
> I'm doing the benchmark test based on luceneutil. Will attach the report and
> patch after the test.
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