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https://issues.apache.org/jira/browse/CASSANDRA-6534?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13859649#comment-13859649
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Michael Penick edited comment on CASSANDRA-6534 at 12/31/13 8:03 PM:
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Sorry, That's a pretty big detail. The inserts are being run in parallel via
executeAsync() in java-driver. This is a wide row, so the collection values are
always being inserted into a new column. So I don't think we're paying the cost
to deserialize and replace values in an existing map (if that's what you were
getting at?).
I just don't understand how the the collection serialization (or collection
processing) is making that big a difference compared to the non-colleciton
value. Wouldn't they both just end up as ByteBuffers in the storage engine?
The serialized size of the collections should be less than the largish values
we were inserting with the non-colleciton test. So where's all the extra
temporary heap memory coming from?
was (Author: mpenick):
Sorry, That's a pretty big detail. The inserts are being run in parallel via
executeAsync() in java-driver. This is a wide row, so the collection values are
being inserted into a new column. So I don't think we're paying the cost to
deserialize and replace values in an existing map (if that's what you were
getting at?).
I just don't understand how the the collection serialization (or collection
processing) is making that big a difference compared to the non-colleciton
value. Wouldn't they both just end up as ByteBuffers in the storage engine?
The serialized size of the collections should be less than the largish values
we were inserting with the non-colleciton test. So where's all the extra
temporary heap memory coming from?
> Slow inserts with collections into a single partition (Pathological GC
> behavior)
> --------------------------------------------------------------------------------
>
> Key: CASSANDRA-6534
> URL: https://issues.apache.org/jira/browse/CASSANDRA-6534
> Project: Cassandra
> Issue Type: Bug
> Components: Core
> Environment: dsc12-1.2.12-1.noarch.rpm
> cassandra12-1.2.12-1.noarch.rpm
> centos 6.4
> Reporter: Michael Penick
> Fix For: 1.2.12
>
> Attachments: GC_behavior.png
>
>
> We noticed extremely slow insertion rates to a single partition key, using
> composite column with a collection value. We were not able to replicate the
> issue using the same schema, but with a non-colleciton value and using much
> larger values. During the collection insertion tests we have tons of these
> messages in the system.log:
> "GCInspector.java (line 119) GC for ConcurrentMarkSweep: 1287 ms for 2
> collections, 1233256368 used; max is 8375238656"
> We are inserting a tiny amounts of data 32-64 bytes and seeing the issue
> after only a couple 10k inserts. The amount of memory being used by C*/JVM is
> no where near proportional to the amount data being inserted. Why is C*
> consuming so much memory?
> Attached is a picture of the GC under one of the pathological tests. Keep in
> mind we are only inserting 128KB - 256KB of data and we are almost hitting
> the limit of the heap.
> GC flags:
> -XX:+UseThreadPriorities
> -XX:ThreadPriorityPolicy=42
> -Xms8192M
> -Xmx8192M
> -Xmn2048M
> -XX:+HeapDumpOnOutOfMemoryError
> -Xss180k
> -XX:+UseParNewGC
> -XX:+UseConcMarkSweepGC
> -XX:+CMSParallelRemarkEnabled
> -XX:SurvivorRatio=8
> -XX:MaxTenuringThreshold=1
> -XX:CMSInitiatingOccupancyFraction=75
> -XX:+UseCMSInitiatingOccupancyOnly
> -XX:+UseTLAB
> Example schemas:
> Note: The type of collection or primitive type in the collection doesn't seem
> to matter.
> {code}
> CREATE TABLE test.test (
> row_key text,
> column_key uuid,
> column_value list<int>,
> PRIMARY KEY(row_key, column_key));
> CREATE TABLE test.test (
> row_key text,
> column_key uuid,
> column_value map<text, text>,
> PRIMARY KEY(row_key, column_key));
> {code}
> Example inserts:
> Note: This issue is able to be replicated with extremely small inserts (a
> well as larger ~1KB)
> {code}
> INSERT INTO test.test
> (row_key, column_key, column_value)
> VALUES
> ('0000000001', e0138677-7246-11e3-ac78-016ae7083d37, [0, 1, 2, 3]);
> INSERT INTO test.test
> (row_key, column_key, column_value)
> VALUES
> ('0000000022', 1ac5770a-7247-11e3-80e4-016ae7083d37, { 'a':
> '0123456701234567012345670', 'b': '0123456701234567012345670' });
> {code}
> As a comparison, I was able to run the same tests with the following schema
> with no issue:
> Note: This test was able to run at a much faster insertion speed, for much
> longer and much bigger column sizes (1KB) without any GC issues.
> {code}
> CREATE TABLE test.test (
> row_key text,
> column_key uuid,
> column_value text,
> PRIMARY KEY(row_key, column_key) )
> {code}
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