The Apache MRQL team is pleased to announce the release of
Apache MRQL 0.9.4-incubating. This is our second Apache release.
Apache MRQL is a query processing and optimization system for
large-scale, distributed data analysis, built on top of
Apache Hadoop, Hama, Spark, and Flink.
The release arti
at 4:24 AM, Leonidas Fegaras <mailto:fega...@cse.uta.edu>> wrote:
Dear Spark users,
I have a problem using File Streams in Java on Spark 1.2.0. I can
process hadoop files in local mode using:
spark_context.newAPIHadoopFile(path,F.class,K.class,V.class,conf)
ess hadoop sequence files. I am sure my input
format F extends org.apache.hadoop.mapreduce.InputFormat. Any ideas?
Thank you
Leonidas Fegaras
The Apache MRQL team is pleased to announce the release of
Apache MRQL 0.9.2-incubating. This is our second Apache release.
Apache MRQL is a query processing and optimization system for
large-scale distributed data analysis, built on top of
Apache Hadoop, Hama, and Spark.
The release artifacts ar
