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https://issues.apache.org/jira/browse/JAMES-3121?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17062232#comment-17062232
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Benoit Tellier commented on JAMES-3121:
---------------------------------------
I did a similar analysis on a deployment at linagora here are the conclusion I
came to:
**Table Preconisation**:
- Adopt SizeTired compaction strategies for the following tables:
- applicableflag
- attachmentmessageid
- attachmentv2
- firstunseen
- mailboxcounters
- mailboxrecents
- messagecounter
- messagedeleted
- modseq
- imapuidtable
- messageidtable
- system.paxos
- Adopt leveled startegy for the following table: eventstore
- Increase boom filter FP chance
- attachmentowners
- deletedmailsv2
- firstunseen
- mailboxcounters
- messagecounter
-------------------------------
```
Table: paxos
Compaction choice: Leveled
Space used (live): 435780382
Space used (total): 435780382
Table: acl
Compaction choice: SizeTired
Local read count: 59841252
Local write count: 2
Bloom filter false ratio: 0.00000
Table: applicableflag
Compaction choice: Leveled
Local read count: 527407
Local write count: 3978528
Bloom filter false ratio: 0.00037
Preconisation:
- Switch compaction to SizeTired
Table: attachmentmessageid
Compaction choice: Leveled
Local read count: 3591
Local write count: 17375490
Bloom filter false ratio: 0.00000
Preconisation:
- Switch compaction to SizeTired
Table: attachmentowners
Compaction choice: Leveled
Local read count: 3723
Local write count: 69
Bloom filter false ratio: 1.00000
Preconisation:
- Increase boom filter FP chance
Table: attachmentv2
Compaction choice: Leveled
Local read count: 18032107
Local write count: 17380539
Bloom filter false ratio: 0.00000
Preconisation:
- Switch compaction to SizeTired (no updates, uid, not partition)
Table: browsestart
Compaction choice: SizeTired
Local read count: 136039
Local write count: 0
Bloom filter false ratio: 0.00000
Table: currentquota (counters)
Compaction choice: SizeTired
Local read count: 31947239
Local write count: 16025449
Bloom filter false ratio: 0.00024
Table: deletedmailsv2
Compaction choice: SizeTired
Local read count: 16995797
Local write count: 48510
Bloom filter false ratio: 0.50000
Preconisation:
- Increase boom filter FP chance
Table: domains
Compaction choice: SizeTired
Local read count: 977712
Local write count: 6
Bloom filter false ratio: 0.00000
Table: enqueuedmailsv3
Compaction choice: Date tired
Local read count: 360786016
Local write count: 48571
Bloom filter false ratio: 0.00000
Table: event_dead_letters
Compaction choice: SizeTired
Local read count: 9237
Local write count: 532544
Bloom filter false ratio: 0.00000
Table: eventstore
Compaction choice: SizeTired
Local read count: 36353
Local write count: 62
Preconisation:
- Switch compaction to Leveled compaction strategy
Table: firstunseen
Compaction choice: Leveled
Local read count: 532429
Local write count: 3404636
Bloom filter false ratio: 0.97986
Preconisation:
- Switch compaction to Size tired compaction strategy
- Increase boom filter FP chance
Table: imapuidtable
Compaction choice: Leveled
Local read count: 10529280
Local write count: 18105757
Bloom filter false ratio: 0.00000
Preconisation:
- Switch compaction to Size tired compaction strategy
Table: mailbox
Compaction choice: SizeTired
Local read count: 67527587
Local write count: 55458
Bloom filter false ratio: 0.00135
Table: mailboxcounters
Compaction choice: Leveled
Local read count: 5570883
Local write count: 20250995
Bloom filter false ratio: 0.67268
Preconisation:
- Switch compaction to Size tired compaction strategy
- Increase boom filter FP chance
Table: mailboxpathv2
Compaction choice: SizeTired
Local read count: 23379709
Local write count: 55742
Bloom filter false ratio: 0.00010
Table: mailboxrecents
Compaction choice: Leveled
Local read count: 1100031
Local write count: 1095795
Bloom filter false ratio: 0.00000
TUMBSTONE issues
Preconisation:
- Purge tumbstones: Run a compaction wit a low gc_grace_period on each node,
then a repair, then restore gc_grace_period
- Switch compaction to Size tired compaction strategy
Table: mappings_sources
Compaction choice: SizeTired
Local read count: 3247176
Local write count: 20057
Bloom filter false ratio: 0.00325
Table: message_fast_view_projection
Compaction choice: SizeTired
Local read count: 384188
Local write count: 15659145
Bloom filter false ratio: 0.00000
Table: messagecounter
Compaction choice: Leveled
Local read count: 18953666
Local write count: 15916744
Preconisation:
- Switch compaction to Size tired compaction strategy
- Increase boom filter FP chance
Table: messagedeleted
Compaction choice: Leveled
Local read count: 157181
Local write count: 2144582
Bloom filter false ratio: 0.00000
Preconisation:
- Switch compaction to Size tired compaction strategy
Table: messageidtable
Compaction choice: Leveled
Local read count: 17861281
Local write count: 18101731
Bloom filter false ratio: 0.00006
Preconisation:
- Switch compaction to Size tired compaction strategy
Table: messagev2
Compaction choice: SizeTired
Local read count: 170667816
Local write count: 15904503
Bloom filter false ratio: 0.00002
Local read latency: 0.251 ms -> too slow???
Table: modseq
Compaction choice: Leveled
Local read count: 20853903
Local write count: 17717124
Bloom filter false ratio: 0.00139
Preconisation:
- Switch compaction to Size tired compaction strategy
Table: rrt
Compaction choice: SizeTired
Local read count: 975957
Local write count: 20058
Bloom filter false ratio: 0.00002
Table: subscription
Compaction choice: SizeTired
Local read count: 110384
Local write count: 48779
Bloom filter false ratio: 0.00000
```
> Tune Cassandra Tables
> ---------------------
>
> Key: JAMES-3121
> URL: https://issues.apache.org/jira/browse/JAMES-3121
> Project: James Server
> Issue Type: Improvement
> Components: cassandra
> Reporter: Gautier DI FOLCO
> Priority: Minor
>
> Our usages of Cassandra differ from table to table, different Compaction
> strategies and read_repair_chance can be applied in order to comply with
> Cassandra optimal behavior.
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