So with --packages to spark-shell and spark-submit Spark will automatically fetch the requirements from maven. If you want to use an explicit local jar you can do that with the --jars syntax. You might find http://spark.apache.org/docs/latest/submitting-applications.html useful.
On Fri, Feb 19, 2016 at 7:26 AM, Ashok Kumar <ashok34...@yahoo.com.invalid> wrote: > Hi, > > I downloaded the zipped csv libraries from databricks/spark-csv > <https://github.com/databricks/spark-csv> > > > [image: image] <https://github.com/databricks/spark-csv> > > > > > > databricks/spark-csv <https://github.com/databricks/spark-csv> > spark-csv - CSV data source for Spark SQL and DataFrames > View on github.com <https://github.com/databricks/spark-csv> > Preview by Yahoo > > > Now I have a directory created called spark-csv-master. I would like to > use this in spark-shell with ---packgage like below > > $SPARK_HOME/bin/spark-shell --packages com.databricks:spark-csv_2.11:1.3.0 > > Do I need to use mvn to create a zipped file to start. or may be added to > spark CLASSPATH. What is needful here please to make it work > > thanks > -- Cell : 425-233-8271 Twitter: https://twitter.com/holdenkarau
