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From "Aleksey Yeschenko (JIRA)" <>
Subject [jira] [Commented] (CASSANDRA-6107) CQL3 Batch statement memory leak
Date Wed, 02 Oct 2013 23:44:42 GMT


Aleksey Yeschenko commented on CASSANDRA-6107:

I don't think the issue here is (just) large individual prepared statements. It's the total
size that all the prepared statements are occupying. That's what should be tracked and limited,
not just the individual ones.

> CQL3 Batch statement memory leak
> --------------------------------
>                 Key: CASSANDRA-6107
>                 URL:
>             Project: Cassandra
>          Issue Type: Bug
>          Components: API, Core
>         Environment: - CASS version: 1.2.8 or 2.0.1, same issue seen in both
> - Running on OSX MacbookPro
> - Sun JVM 1.7
> - Single local cassandra node
> - both CMS and G1 GC used
> - we are using the cass-JDBC driver to submit our batches
>            Reporter: Constance Eustace
>            Assignee: Lyuben Todorov
>            Priority: Minor
>             Fix For: 1.2.11
>         Attachments: 6107.patch
> We are doing large volume insert/update tests on a CASS via CQL3. 
> Using 4GB heap, after roughly 750,000 updates create/update 75,000 row keys, we run out
of heap, and it never dissipates, and we begin getting this infamous error which many people
seem to be encountering:
> WARN [ScheduledTasks:1] 2013-09-26 16:17:10,752 (line 142) Heap is 0.9383457210434385
full.  You may need to reduce memtable and/or cache sizes.  Cassandra will now flush up to
the two largest memtables to free up memory.  Adjust flush_largest_memtables_at threshold
in cassandra.yaml if you don't want Cassandra to do this automatically
>  INFO [ScheduledTasks:1] 2013-09-26 16:17:10,753 (line 3614) Unable
to reduce heap usage since there are no dirty column families
> 8 and 12 GB heaps appear to delay the problem by roughly proportionate amounts of 75,000
- 100,000 rowkeys per 4GB. Each run of 50,000 row key creations sees the heap grow and never
shrink again. 
> We have attempted to no effect:
> - removing all secondary indexes to see if that alleviates overuse of bloom filters 
> - adjusted parameters for compaction throughput
> - adjusted memtable flush thresholds and other parameters 
> By examining heapdumps, it seems apparent that the problem is perpetual retention of
CQL3 BATCH statements. We have even tried dropping the keyspaces after the updates and the
CQL3 statement are still visible in the heapdump, and after many many many CMS GC runs. G1
also showed this issue.
> The 750,000 statements are broken into batches of roughly 200 statements.

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