https://bugs.koha-community.org/bugzilla3/show_bug.cgi?id=42878

--- Comment #2 from Martin Renvoize (ashimema) 
<[email protected]> ---
Created attachment 208522
  -->
https://bugs.koha-community.org/bugzilla3/attachment.cgi?id=208522&action=edit
Benchmark scripts for full-reindex / batch indexing (bug 42881 family)

Clarifying the goal of this work (bug 42881 family): the target is
infrastructure-facing - the time and CPU a FULL REINDEX
(misc/search_tools/rebuild_elasticsearch.pl) and LARGE BATCH re-indexes (batch
record modification, imports; these enqueue index jobs of up to chunk_size =
5000 records) consume. It is not about how quickly a cataloguer sees one edit:
in KTD we measured the edit-to-searchable time through the stock
es_indexer_daemon and it is dominated by job dispatch (roughly one job per
second), so these patches do not change it.

I am attaching a small benchmark package (bug42881-es-indexing-bench.tar.gz,
see README.txt inside) so testers can reproduce the before/after numbers below
and, importantly, verify that the generated Elasticsearch documents are
byte-for-byte identical (SHA-256 over every document) with and without the
patch.

Setup, once, in a KTD with Elasticsearch (stock sample data works; 10,000
generated records give steadier numbers - gen_records.pl + bulkmarcimport.pl,
see README):
  mkdir -p _bench && cp <extracted files> _bench/

Test plan for this bug
1. prove t/db_dependent/Koha/SearchEngine/Elasticsearch.t  (includes the new
"batch query available items" subtest)
2. Before/after, with this patch applied on a branch:
     _bench/ab_bench.sh main HEAD
   Expect: "output identical to baseline" = yes; DB statements per record fall
(2.0 -> 1.0 at batch 500, 2.1 -> 1.2 at batch 10).
3. Semantics: pick a biblio whose only items are lost (itemlost != 0) or
checked out, and one with a normally available item; after reindexing, the ES
document has available=false / available=true respectively:
     curl -s es:9200/koha_<instance>_biblios/_doc/<biblionumber> | jq
'._source.available'
   (inside the KTD container; in KTD <instance> is kohadev). Records without a
biblionumber field get no "available" key, as before.
4. Optional, full reindex wall-clock: bash _bench/bench_rebuild.sh before /
after.

Our results (10,436 generated records, KTD + ES 9, one core, best of 3
interleaved rounds, spread 0-1%), decode + mapping, ms per record:
  batch 1:   24.8 -> 24.9  (1.00x, nothing to batch)
  batch 10:   6.6 -> 5.5   (1.22x)
  batch 500:  4.6 -> 3.3   (1.42x)
  full rebuild_elasticsearch.pl: 103.8 s -> 89.2 s (1.16x)

Note KTD's database is local; the saving is one round trip per record, so on a
networked database server the effect should be larger. If you can test against
a remote DB, please report.

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