Hi All,

we are trying to use DataFrames approach with Kafka 0.10 and PySpark 2.2.0.
We followed the instruction on the wiki
https://spark.apache.org/docs/latest/structured-streaming-kafka-integration.html.
We coded something similar to the code below using Python:
df = spark \
  .read \
  .format("kafka") \
  .option("kafka.bootstrap.servers", "host1:port1,host2:port2") \
  .option("subscribe", "topic1") \
  .load()

But we are getting the the the exception below. Does PySpark 2.2.0 supports
DataFrames with Kafka 0.10? If yes, what could be the root cause for the
exception below?

Thank you,
Ali

Exception:
py4j.protocol.Py4JJavaError: An error occurred while calling o31.load.
: java.lang.ClassNotFoundException: Failed to find data source: kafka.  
Please find packages at http://spark.apache.org/third-party-projects.html
        at
org.apache.spark.sql.execution.datasources.DataSource$.lookupDataSource(DataSource.scala:549)
        at
org.apache.spark.sql.execution.datasources.DataSource.providingClass$lzycompute(DataSource.scala:86)
        at
org.apache.spark.sql.execution.datasources.DataSource.providingClass(DataSource.scala:86)
        at
org.apache.spark.sql.execution.datasources.DataSource.sourceSchema(DataSource.scala:195)
        at
org.apache.spark.sql.execution.datasources.DataSource.sourceInfo$lzycompute(DataSource.scala:87)
        at
org.apache.spark.sql.execution.datasources.DataSource.sourceInfo(DataSource.scala:87)
        at
org.apache.spark.sql.execution.streaming.StreamingRelation$.apply(StreamingRelation.scala:30)
        at
org.apache.spark.sql.streaming.DataStreamReader.load(DataStreamReader.scala:150)
        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:244)
        at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
        at py4j.Gateway.invoke(Gateway.java:280)
        at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
        at py4j.commands.CallCommand.execute(CallCommand.java:79)
        at py4j.GatewayConnection.run(GatewayConnection.java:214)
        at java.lang.Thread.run(Thread.java:745)
Caused by: java.lang.ClassNotFoundException: kafka.DefaultSource
        at java.net.URLClassLoader.findClass(URLClassLoader.java:381)
        at java.lang.ClassLoader.loadClass(ClassLoader.java:424)
        at java.lang.ClassLoader.loadClass(ClassLoader.java:357)
        at
org.apache.spark.sql.execution.datasources.DataSource$$anonfun$21$$anonfun$apply$12.apply(DataSource.scala:533)
        at
org.apache.spark.sql.execution.datasources.DataSource$$anonfun$21$$anonfun$apply$12.apply(DataSource.scala:533)
        at scala.util.Try$.apply(Try.scala:192)
        at
org.apache.spark.sql.execution.datasources.DataSource$$anonfun$21.apply(DataSource.scala:533)
        at
org.apache.spark.sql.execution.datasources.DataSource$$anonfun$21.apply(DataSource.scala:533)
        at scala.util.Try.orElse(Try.scala:84)
        at
org.apache.spark.sql.execution.datasources.DataSource$.lookupDataSource(DataSource.scala:533)
        ... 18 more
  



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