Read from Cassandra with Cloudera Hadoop using Spark

Question

The scope is to read from HDFS, filter in Spark and write results to Cassandra. I am packaging and running with SBT.

Here is the problem: Reading from HDFS to Spark requires the following line in my sbt build file.

libraryDependencies += "org.apache.hadoop" % "hadoop-client" % "2.0.0-cdh4.5.0"

However, reading and writing to Cassandra via

val casRdd = sc.newAPIHadoopRDD(
  job.getConfiguration(),
  classOf[ColumnFamilyInputFormat],
  classOf[ByteBuffer],
  classOf[SortedMap[ByteBuffer, IColumn]])

does only work if the library dependency of the hadoop-client is either left out or changed to 0.1 or 1.2.0 or 2.2.0 (non CDH) - unfortunately then the HDFS read is not possible. If the hadoop-client line is added, the following Error is thrown when trying to read from Cassandra:

java.lang.IncompatibleClassChangeError: Found interface org.apache.hadoop.mapreduce.JobContext, but class was expected

I therefore conclude that the problem with Cassandra read/write seems to be an issue which is Cloudera related? Please note that the Cassandra read/write works by simply deleting the libraryDependencies line.

Since the HDFS and Cassandra read need to work in the same project, how can this issue be resolved?

Answer 1

It seems you are trying to use Apache Hadoop distribution from Spark built against CDH.

Your project should never have to depend on hadoop-client as Spark already does. In our Sppark + Cassandra integration library Calliope we have a dependency on Spark -

"org.apache.spark" %% "spark-core" % SPARK_VERSION % "provided"

We have been using this library with Apache Hadoop HDFS, CDH HDFS and our own SnackFS. All you need to ennsure is that you deploy on the correect build of Spark.