Thanks Chneg, Just one more question - does that mean that we still need
enough memory in the cluster to uncompress the data before it can be
compressed again or does that just read the raw data as is?
On Wed, Nov 12, 2014 at 10:05 PM, Cheng Lian lian.cs@gmail.com wrote:
Currently there’s
No, the columnar buffer is built in a small batching manner, the batch
size is controlled by the |spark.sql.inMemoryColumnarStorage.batchSize|
property. The default value for this in master and branch-1.2 is 10,000
rows per batch.
On 11/14/14 1:27 AM, Sadhan Sood wrote:
Thanks Chneg, Just
We noticed while caching data from our hive tables which contain data in
compressed sequence file format that it gets uncompressed in memory when
getting cached. Is there a way to turn this off and cache the compressed
data as is ?
