Convert your data to parquet, it saves space and time. Thanks Best Regards
On Mon, Oct 19, 2015 at 11:43 PM, ahaider3 <ahaid...@hawk.iit.edu> wrote: > Hi, > A lot of the data I have in HDFS is compressed. I noticed when I load this > data into spark and cache it, Spark unrolls the data like normal but stores > the data uncompressed in memory. For example, suppose /data/ is an RDD with > compressed partitions on HDFS. I then cache the data. When I call > /data.count()/, the data is rightly decompressed since it needs to find the > value of /.count()/. But, the data that is cached is also decompressed. Can > a partition be compressed in spark? I know spark allows for data to be > compressed, after serialization. But what if, I only want the partitions > compressed. > > > > -- > View this message in context: > http://apache-spark-user-list.1001560.n3.nabble.com/Storing-Compressed-data-in-HDFS-into-Spark-tp25123.html > Sent from the Apache Spark User List mailing list archive at Nabble.com. > > --------------------------------------------------------------------- > To unsubscribe, e-mail: user-unsubscr...@spark.apache.org > For additional commands, e-mail: user-h...@spark.apache.org > >
