Using Custom Libraries with Spark
Spark comes equipped with a selection of libraries, including Spark SQL, Spark Streaming, and MLlib.
If you want to use a custom library, such as a compression library or Magellan, you can use
one of the following two
spark-submit script options:
--jarsoption, which transfers associated .jar files to the cluster. Specify a list of comma-separated .jar files.
--packagesoption, which pulls files directly from Spark packages. This approach requires an internet connection.
For example, you can use the
--jars option to add codec files. The
following example adds the LZO compression library:
spark-submit --driver-memory 1G \ --executor-memory 1G \ --master yarn-client \ --jars /usr/hdp/184.108.40.206-8/hadoop/lib/hadoop-lzo-0.6.0.2.6.0.3-8.jar \ test_read_write.py
For more information about the two options, see Advanced Dependency Management on the Apache Spark "Submitting Applications" web page.
If you launch a Spark job that references a codec library without specifying where the codec resides, Spark returns an error similar to the following:
Caused by: java.lang.IllegalArgumentException: Compression codec com.hadoop.compression.lzo.LzoCodec not found.
To address this issue, specify the codec file with the