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    <p>I guess you mean one row (with four columns) inside your column family? The "overhead" associated with each column is a a long (timestamp, 64 bits) and a byte[] (column name, max 64 kb). So 4x disk usage seems a little bit weird. Are you doing any deletes? Be sure to understand <a href="http://spyced.blogspot.com/2010/02/distributed-deletes-in-cassandra.html" rel="nofollow noreferrer">how deletes are done in a distributed, eventually consistent system</a>.</p> <p>Be sure to read about "<a href="http://wiki.apache.org/cassandra/MemtableSSTable" rel="nofollow noreferrer">compactions</a>" also. ("Once compaction is finished, the old SSTable files may be deleted")</p> <p>Would also like to remind you of a Thrift limitation regarding how streaming is done. </p> <p>Cassandra's public API is based on Thrift, which offers no streaming abilities -- any value written or fetched has to fit in memory. This is inherent to Thrift's design and is therefore unlikely to change. So adding large object support to Cassandra would need a special API that manually split the large objects up into pieces. A potential approach is described in <a href="http://issues.apache.org/jira/browse/CASSANDRA-265" rel="nofollow noreferrer">http://issues.apache.org/jira/browse/CASSANDRA-265</a>. As a workaround in the meantime, you can manually split files into chunks of whatever size you are comfortable with -- at least one person is using 64MB -- and making a file correspond to a row, with the chunks as column values. (From the '<a href="http://wiki.apache.org/cassandra/CassandraLimitations" rel="nofollow noreferrer">Cassandra Limitations</a>' page on the wiki)</p>
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