[
https://issues.apache.org/jira/browse/IGNITE-17735?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17607891#comment-17607891
]
Vladimir Steshin edited comment on IGNITE-17735 at 10/27/22 7:10 PM:
---------------------------------------------------------------------
Datastreamer with 'allowOverwrite==true' and PRIMARY_SYNC persistent cache may
cause heap issue or consume increased heap amount.
There is related 'perNodeParallelOperations()' setting. What discouraged, I met
this issue with trivial research like few servers, simple cache and just trying
data streaming with various persistence and loading settings (like
`HeapConsumptionDataStreamerTest.src`). Think user may meet the same. The
default value might be adjusted for persistant caches.
Streamer node may not wait for backup updates. And keep sending more and more
streamer batches to process. The receiving node collects related to backup
updates futures, requests.
The same happens on backup node: collecting update incoming update requests
stucking at disk writes. See 'DS_heap_consumption.png' for example.
Suggestion: bring reduced default parallel batches number for persistent caches
`IgniteDataStreamer#DFLT_PARALLEL_OPS_PERSISTENT_MULTIPLIER` (PR #10343).
Did estimation benchmarks. Even in-memory benchmarks (like
'bench_inmem_isolated_pc2.txt') shows 2 or may be 4 batches per threads seems
enough.
For persistent caches, `CPUs x 2` seems enough. See
`bench_persistent_results_Isolated_pc1.txt` and
`bench_persistent_results_Individual_pc1.txt`
was (Author: vladsz83):
Datastreamer with 'allowOverwrite==true' and PRIMARY_SYNC persistent cache may
cause heap issue or consume increased heap amount.
There is related 'perNodeParallelOperations()' setting. What discouraged, I met
this issue with trivial research like few servers, simple cache and just trying
data streaming with various persistence and loading settings (like
`HeapConsumptionDataStreamerTest.src`). Think user may meet the same. But the
default value might be improved for persistence.
Streamer node may not wait for backup updates depending on streamer receiver,
setting 'allowOverwrite' and cache sync mode.
And keep sending more and more streamer batches to process. The receiving node
collects related to backup updates futures, requests.
The same happens on backup node: collecting update incoming update requests
stucking at disk writes. See 'DS_heap_consumption.png' for example.
Suggestion: bring reduced default parallel batches number for persistent caches
`IgniteDataStreamer#DFLT_PARALLEL_OPS_PERSISTENT_MULTIPLIER` (PR #10343).
Did estimation benchmarks. Even in-memory benchmarks (like
'bench_inmem_isolated_pc2.txt') shows 2 or may be 4 batches per threads seems
enough.
For persistent caches, `CPUs x 2` seems enough. See
`bench_persistent_results_Isolated_pc1.txt` and
`bench_persistent_results_Individual_pc1.txt`
> Datastreamer may consume heap with allowOverwtire=='true'.
> ----------------------------------------------------------
>
> Key: IGNITE-17735
> URL: https://issues.apache.org/jira/browse/IGNITE-17735
> Project: Ignite
> Issue Type: Sub-task
> Reporter: Vladimir Steshin
> Assignee: Vladimir Steshin
> Priority: Major
> Labels: ise
> Attachments: DS_heap_consumption.png, DS_heap_consumption_2.png,
> HeapConsumptionDataStreamerTest.src, bench_inmem_individual_pc2.txt,
> bench_inmem_isolated_pc2.txt, bench_persistent_full_Individual_pc1.txt,
> bench_persistent_results_Individual_pc1.txt,
> bench_persistent_results_Isolated_pc1.txt
>
> Time Spent: 1h
> Remaining Estimate: 0h
>
--
This message was sent by Atlassian Jira
(v8.20.10#820010)
