pyspark fails to write with 5.0.0-beta1

[jimmyjones2]

Using spark-1.6.2-bin-hadoop2.6 and corresponding elasticsearch versions.

2.4.0 works as expected:

./bin/pyspark --driver-class-path=../elasticsearch-hadoop-2.4.0/dist/elasticsearch-hadoop-2.4.0.jar
>>> df = sqlContext.createDataFrame([('abcd','123')])
>>> df.write.format("org.elasticsearch.spark.sql").save("abc/def")
curl localhost:9200/abc/_search
{"took":4,"timed_out":false,"_shards":{"total":5,"successful":5,"failed":0},"hits":{"total":1,"max_score":1.0,"hits":[{"_index":"abc","_type":"def","_id":"AVdhZCT7WlyV98PK0-om","_score":1.0,"_source":{"_1":"abcd","_2":"123"}}]}}

However with 5.0.0-beta1:

./bin/pyspark --driver-class-path=../elasticsearch-hadoop-5.0.0-beta1/dist/elasticsearch-hadoop-5.0.0-beta1.jar
>>> df = sqlContext.createDataFrame([('abcd','123')])
>>> df.write.format("org.elasticsearch.spark.sql").save("abc/def")
16/09/25 13:51:31 INFO Version: Elasticsearch Hadoop v5.0.0-beta1 [508575a379]
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/home/jimmy/Downloads/spark-1.6.2-bin-hadoop2.6/python/pyspark/sql/readwriter.py", line 397, in save
    self._jwrite.save(path)
  File "/home/jimmy/Downloads/spark-1.6.2-bin-hadoop2.6/python/lib/py4j-0.9-src.zip/py4j/java_gateway.py", line 813, in __call__
  File "/home/jimmy/Downloads/spark-1.6.2-bin-hadoop2.6/python/pyspark/sql/utils.py", line 45, in deco
    return f(*a, **kw)
  File "/home/jimmy/Downloads/spark-1.6.2-bin-hadoop2.6/python/lib/py4j-0.9-src.zip/py4j/protocol.py", line 308, in get_return_value
py4j.protocol.Py4JJavaError: An error occurred while calling o33.save.
: java.lang.AbstractMethodError: org.elasticsearch.spark.sql.DefaultSource.createRelation(Lorg/apache/spark/sql/SQLContext;Lorg/apache/spark/sql/SaveMode;Lscala/collection/immutable/Map;Lorg/apache/spark/sql/DataFrame;)Lorg/apache/spark/sql/sources/BaseRelation;
    at org.apache.spark.sql.execution.datasources.ResolvedDataSource$.apply(ResolvedDataSource.scala:222)
    at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:148)
    at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:139)
    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:381)
    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:209)
    at java.lang.Thread.run(Thread.java:745)

[jbaiera]

I think this may just be the backwards compatibility break between Spark 2.0 and Spark 1.6. The ES-Hadoop 5.0.0 beta jar is only compatible with Spark 2.0. When using Spark 1.3-1.6 give the BWC release a try.

[jimmyjones2]

@jbaiera Sure is, works fine with Spark 2.0 or on 1.6 with the the Scala 2.10 version of the jar you linked to. Thanks!

[jbaiera]

@jimmyjones2 Good to hear, Cheers!