Row cache has to store the entire row. It is a very bad option for wide rows.
On Sunday, December 2, 2012, Mike <email@example.com> wrote:
> We recently hit an issue within our Cassandra based application. We
> have a relatively new Column Family with some very wide rows (10's of
> thousands of columns, or more in some cases). During a periodic
> activity, we the range of columns to retrieve various pieces of
> information, a segment at a time.
> We do these same queries frequently at various stages of the process,
> and I thought the application could see a performance benefit from row
> caching. We have a small row cache (100MB per node) already enabled,
> and I enabled row caching on the new column family.
> The results were very negative. When performing range queries with a
> limit of 200 results, for a small minority of the rows in the new column
> family, performance plummeted. CPU utilization on the Cassandra node
> went through the roof, and it started chewing up memory. Some queries
> to this column family hung completely.
> According to the logs, we started getting frequent GCInspector
> messages. Cassandra started flushing the largest mem_tables due to
> hitting the "flush_largest_memtables_at" of 75%, and scaling back the
> key/row caches. However, to Cassandra's credit, it did not die with an
> OutOfMemory error. Its measures to emergency measures to conserve
> memory worked, and the cluster stayed up and running. No real errors
> showed in the logs, except for Messages getting drop, which I believe
> was caused by what was going on with CPU and memory.
> Disabling row caching on this new column family has resolved the issue
> for now, but, is there something fundamental about row caching that I am
> We are running Cassandra 1.1.2 with a 6 node cluster, with a replication
> factor of 3.