Could not read data from kafka using pyspark - apache-spark

Question

I've a streaming data in my kafka topic. I need to read this data from topic using pyspark inthe form of pyspark dataframe. But I'm continuously receiving error when I'm calling readStream function. The error is "py4j.protocol.Py4JJavaError: An error occurred while calling o35.load". My code is as follows:-
os.environ['PYSPARK_SUBMIT_ARGS'] = '--packages org.apache.spark:spark-streaming-kafka-0-8_2.11:2.0.2 pyspark-shell'
if __name__ == '__main__':
sc = SparkSession.builder.appName('PythonStreamingDirectKafkaWordCount').getOrCreate()
ssc = StreamingContext(sc, 60)
df = sc \
.readStream \
.format("kafka") \
.option("kafka.bootstrap.servers", "localhost:9092") \
.option("subscribe", "near_line") \
.load() \
.selectExpr("CAST(key AS STRING)", "CAST(value AS STRING)","CAST(value AS STRING)")
ssc.start()
ssc.awaitTermination()
I'm getting an error as follows:-
Traceback (most recent call last):
File "/home/nayanam/PycharmProjects/recommendation_engine/derivation/kafka_cons**umer_test.py", line 21, in <module>
.option("subscribe", "near_line") \**
File "/home/nayanam/anaconda3/lib/python3.5/site-packages/pyspark/sql/streaming.py", line 397, in load
return self._df(self._jreader.load())
File "/home/nayanam/anaconda3/lib/python3.5/site-packages/py4j/java_gateway.py", line 1133, in __call__
answer, self.gateway_client, self.target_id, self.name)
File "/home/nayanam/anaconda3/lib/python3.5/site-packages/pyspark/sql/utils.py", line 63, in deco
return f(*a, **kw)
File "/home/nayanam/anaconda3/lib/python3.5/site-packages/py4j/protocol.py", line 319, in get_return_value
format(target_id, ".", name), value)
py4j.protocol.Py4JJavaError: An error occurred while calling o35.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:748)
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

Answer 1

I got the same issue. Well, in spark 2.3 pyspark accepts the --jars options and it's working. So, in this version, all you need are 2 jars:
spark-sql-kafka-0-10_2.11-2.3.2.jar
spark-streaming-kafka-0-10-assembly_2.11-2.3.2.jar
$ pyspark --jars spark-sql-kafka-0-10_2.11-2.3.2.jar,spark-streaming-kafka-0-10-assembly_2.11-2.3.2.jar
I'm using Spark 2.3.0, Scala 2.11.8 and Kafka 0.10 which are downloadable from apache.org

Answer 2

pass this package if you don't want to use jar
--packages org.apache.spark:spark-sql-kafka-0-10_2.11:2.3.2,org.apache.spark:spark-streaming-kafka-0-10-assembly_2.11:2.3.2