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https://issues.apache.org/jira/browse/CASSANDRA-3003?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sylvain Lebresne updated CASSANDRA-3003:
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Priority: Critical (was: Major)
Marking critical, because at least for counter column family, when the row is
larger than the inMemoryLimit, the code will actually crash because it will use
lazilyCompactedRow which will try to do it's 2 passes.
> Trunk single-pass streaming doesn't handle large row correctly
> --------------------------------------------------------------
>
> Key: CASSANDRA-3003
> URL: https://issues.apache.org/jira/browse/CASSANDRA-3003
> Project: Cassandra
> Issue Type: Bug
> Components: Core
> Reporter: Sylvain Lebresne
> Assignee: Yuki Morishita
> Priority: Critical
> Labels: streaming
>
> For normal column family, trunk streaming always buffer the whole row into
> memory. In uses
> {noformat}
> ColumnFamily.serializer().deserializeColumns(in, cf, true, true);
> {noformat}
> on the input bytes.
> We must avoid this for rows that don't fit in the inMemoryLimit.
> Note that for regular column families, for a given row, there is actually no
> need to even recreate the bloom filter of column index, nor to deserialize
> the columns. It is enough to filter the key and row size to feed the index
> writer, but then simply dump the rest on disk directly. This would make
> streaming more efficient, avoid a lot of object creation and avoid the
> pitfall of big rows.
> Counters column family are unfortunately trickier, because each column needs
> to be deserialized (to mark them as 'fromRemote'). However, we don't need to
> do the double pass of LazilyCompactedRow for that. We can simply use a
> SSTableIdentityIterator and deserialize/reserialize input as it comes.
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