the row-in-memory-during-compaction was fixed some time ago for 0.7 (CASSANDRA-16).
On Wed, Sep 15, 2010 at 10:03 AM, Lucas Nodine <lucasnod...@gmail.com> wrote: > Hello Users, > > I am planning a system where both metadata and data will be stored. Usually > it will be small file such as word documents along with some specific data > about the file. Sometimes, there will be a large file, possibly a few > hundred meg - a gig such as video. I have read a lot about suggested > methods for large file storage within Cassandra, but I want to verify my > thoughts on the method of implementation before I start working on it. > > On June 29, 2009 Jonathan listed the task on JIRA > (https://issues.apache.org/jira/browse/CASSANDRA-265) - but closed it > stating that it was not on anyone's roadmap > > On April 26, 2010 there was a posting to this group stating "During > compaction, as is well noted, Cassandra needs the entire row in memory, > which will cause a FAIL once you have files more than a few gigs." Shuge > Lee. > > Currently, the Wiki has an entry explaining the handling, or more > appropriately, workaround to handle Large BLOBs > (http://wiki.apache.org/cassandra/FAQ#large_file_and_blob_storage). > > Seeing as native support for large files is not expected, and the Wiki > states that files <= 64MB can easily be stored within the database and > knowing that during compaction, the entire row will be loaded into memory... > > 1) Is the appropriate way to handle files that greatly vary in size (1KB to > a few GB) to break the data into smaller "chunks" and then store those > chunks each into a seperate row? > A) If so, how should it be done to accomplish the best read/write > results? > B) Is there a row size that should be considered a "sweet spot" or > should it be able to be modified on a per cluster basis? > 2) Does anyone forsee large blob support in the coming future? > > Thanks, > > - Lucas -- Jonathan Ellis Project Chair, Apache Cassandra co-founder of Riptano, the source for professional Cassandra support http://riptano.com