Yes it is. The in-memory storage used with |SchemaRDD| also uses
|RDD.cache()| under the hood.
On 9/26/14 4:04 PM, Haopu Wang wrote:
Hi, I'm querying a big table using Spark SQL. I see very long GC time in
some stages. I wonder if I can improve it by tuning the storage
parameter.
The question is: the schemaRDD has been cached with "cacheTable()"
function. So is the cached schemaRDD part of memory storage controlled
by the "spark.storage.memoryFraction" parameter?
Thanks!
---------------------------------------------------------------------
To unsubscribe, e-mail: user-unsubscr...@spark.apache.org
For additional commands, e-mail: user-h...@spark.apache.org
