I have referred the following links in order to understand how to export spark sql dataframe in python
My code:
df = sqlContext.createDataFrame(routeRDD, ['Consigner', 'AverageScore', 'Trips'])
df.select('Consigner', 'AverageScore', 'Trips').write.format('com.databricks.spark.csv').options(header='true').save('file:///opt/BIG-DATA/VisualCargo/output/top_consigner.csv')
I load the job with spark-submit passing the following jars on master url
spark-csv_2.11-1.5.0.jar, commons-csv-1.4.jar
I am getting the following error
df.select('Consigner', 'AverageScore', 'Trips').write.format('com.databricks.spark.csv').options(header='true').save('file:///opt/BIG-DATA/VisualCargo/output/top_consigner.csv')
File "/opt/cloudera/parcels/CDH-5.5.1-1.cdh5.5.1.p0.11/lib/spark/python/lib/pyspark.zip/pyspark/sql/readwriter.py", line 332, in save
File "/opt/cloudera/parcels/CDH-5.5.1-1.cdh5.5.1.p0.11/lib/spark/python/lib/py4j-0.8.2.1-src.zip/py4j/java_gateway.py", line 538, in __call__
File "/opt/cloudera/parcels/CDH-5.5.1-1.cdh5.5.1.p0.11/lib/spark/python/lib/pyspark.zip/pyspark/sql/utils.py", line 36, in deco
File "/opt/cloudera/parcels/CDH-5.5.1-1.cdh5.5.1.p0.11/lib/spark/python/lib/py4j-0.8.2.1-src.zip/py4j/protocol.py", line 300, in get_return_value
py4j.protocol.Py4JJavaError: An error occurred while calling o156.save.
py4j.protocol.Py4JJavaError: An error occurred while calling o156.save.
: java.lang.NoSuchMethodError: scala.Predef$.$conforms()Lscala/Predef$$less$colon$less;
at com.databricks.spark.csv.util.CompressionCodecs$.<init>(CompressionCodecs.scala:29)
at com.databricks.spark.csv.util.CompressionCodecs$.<clinit>(CompressionCodecs.scala)
at com.databricks.spark.csv.DefaultSource.createRelation(DefaultSource.scala:198)
at org.apache.spark.sql.execution.datasources.ResolvedDataSource$.apply(ResolvedDataSource.scala:170)
at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:146)
at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:137)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:231)
at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:379)
at py4j.Gateway.invoke(Gateway.java:259)
at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:133)
at py4j.commands.CallCommand.execute(CallCommand.java:79)
at py4j.GatewayConnection.run(GatewayConnection.java:207)
at java.lang.Thread.run(Thread.java:745)
Spark version 1.5.0-cdh5.5.1 is built with Scala 2.10 - default Scala version for Spark < 2.0. Your spark-csv is built with Scala 2.10 - spark-csv_2.11-1.5.0.jar.
Please update spark-csv to version with Scala 2.10 or update Spark to Scala 2.11. You will know Scala version by number after artifactId, i.e. spark-csv_2.10-1.5.0 will be for Scala 2.10