Why am I unable to connect to kafka using pyspark? Kafka_2.12-2.3.0 and Spark_2.4.4 or 2.3.0 or 2.3.4 - apache-spark

Question

I can not connect to kafka_2.12-2.3.0 from spark_2.4.4 structured streaming using the below code in python. My scala version is 2.11.12 and OpenJDK is 1.8.0_222
from pyspark.sql import SparkSession
spark = SparkSession\
.builder\
.appName("kafka-spark-structured-stream")\
.getOrCreate()
dsraw = spark\
.readStream\
.format("kafka")\
.option("kafka.bootstrap.servers", "**kafka-broker-ID**:9092")\
.option("subscribe", "test")\
.option("startingOffsets", "earliest")\
.load()
The following are the spark-submits i tried multiple times by varying versions like changing from 2.11 to 2.12 but still failed:
$spark-submit --jars /opt/hadoop/spark/jars/spark-sql-kafka-0-10_2.11-2.4.4.jar,/opt/hadoop/spark/jars/kafka-clients-0.10.1.0.jar --master yarn --deploy-mode client /opt/hadoop/spark/spark-application/main/kafka-spark-structured-stream.py
$spark-submit --packages org.apache.spark:spark-sql-kafka-0-10_2.11:2.4.4 --master yarn --deploy-mode client /opt/hadoop/spark/spark-application/main/kafka-spark-structured-stream.py
I keep getting the error below no matter how i try differently with spark-submit:
2019-10-23 15:40:37,096 INFO handler.ContextHandler: Started o.s.j.s.ServletContextHandler#cf7aac8{/SQL/execution,null,AVAILABLE,#Spark}
2019-10-23 15:40:37,096 INFO ui.JettyUtils: Adding filter org.apache.hadoop.yarn.server.webproxy.amfilter.AmIpFilter to /SQL/execution/json.
2019-10-23 15:40:37,097 INFO handler.ContextHandler: Started o.s.j.s.ServletContextHandler#5c593907{/SQL/execution/json,null,AVAILABLE,#Spark}
2019-10-23 15:40:37,118 INFO ui.JettyUtils: Adding filter org.apache.hadoop.yarn.server.webproxy.amfilter.AmIpFilter to /static/sql.
2019-10-23 15:40:37,120 INFO handler.ContextHandler: Started o.s.j.s.ServletContextHandler#38634422{/static/sql,null,AVAILABLE,#Spark}
2019-10-23 15:40:40,573 INFO state.StateStoreCoordinatorRef: Registered StateStoreCoordinator endpoint
check_1======check_1======check_1======check_1======check_1======check_1======check_1======check_1======check_1======check_1======
Traceback (most recent call last):
File "/opt/hadoop/spark/spark-application/main/test.py", line 15, in <module>
.option("startingOffsets", "earliest").load()
File "/opt/hadoop/spark/python/lib/pyspark.zip/pyspark/sql/readwriter.py", line 172, in load
File "/opt/hadoop/spark/python/lib/py4j-0.10.7-src.zip/py4j/java_gateway.py", line 1257, in __call__
File "/opt/hadoop/spark/python/lib/pyspark.zip/pyspark/sql/utils.py", line 63, in deco
File "/opt/hadoop/spark/python/lib/py4j-0.10.7-src.zip/py4j/protocol.py", line 328, in get_return_value
py4j.protocol.Py4JJavaError: An error occurred while calling o36.load.
: java.util.ServiceConfigurationError: org.apache.spark.sql.sources.DataSourceRegister: Provider org.apache.spark.sql.kafka010.KafkaSourceProvider could not be instantiated
at java.util.ServiceLoader.fail(ServiceLoader.java:232)
at java.util.ServiceLoader.access$100(ServiceLoader.java:185)
at java.util.ServiceLoader$LazyIterator.nextService(ServiceLoader.java:384)
at java.util.ServiceLoader$LazyIterator.next(ServiceLoader.java:404)
at java.util.ServiceLoader$1.next(ServiceLoader.java:480)
at scala.collection.convert.Wrappers$JIteratorWrapper.next(Wrappers.scala:43)
at scala.collection.Iterator$class.foreach(Iterator.scala:891)
at scala.collection.AbstractIterator.foreach(Iterator.scala:1334)
at scala.collection.IterableLike$class.foreach(IterableLike.scala:72)
at scala.collection.AbstractIterable.foreach(Iterable.scala:54)
at scala.collection.TraversableLike$class.filterImpl(TraversableLike.scala:247)
at scala.collection.TraversableLike$class.filter(TraversableLike.scala:259)
at scala.collection.AbstractTraversable.filter(Traversable.scala:104)
at org.apache.spark.sql.execution.datasources.DataSource$.lookupDataSource(DataSource.scala:630)
at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:194)
at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:167)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)
at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
at py4j.Gateway.invoke(Gateway.java:282)
at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
at py4j.commands.CallCommand.execute(CallCommand.java:79)
at py4j.GatewayConnection.run(GatewayConnection.java:238)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.NoSuchMethodError: org.apache.spark.internal.Logging.$init$(Lorg/apache/spark/internal/Logging;)V
at org.apache.spark.sql.kafka010.KafkaSourceProvider.<init>(KafkaSourceProvider.scala:44)
at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
at sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:62)
at sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)
at java.lang.reflect.Constructor.newInstance(Constructor.java:423)
at java.lang.Class.newInstance(Class.java:442)
at java.util.ServiceLoader$LazyIterator.nextService(ServiceLoader.java:380)
... 24 more
doing the spark-submit --version also gives me below versions:
(base) [hadoop#master ~]$ spark-submit --version
Welcome to
____ __
/ __/__ ___ _____/ /__
_\ \/ _ \/ _ `/ __/ '_/
/___/ .__/\_,_/_/ /_/\_\ version 2.4.4
/_/
Using Scala version 2.11.12, OpenJDK 64-Bit Server VM, 1.8.0_222
Branch
Compiled by user on 2019-08-27T21:21:38Z
Revision
Url
Type --help for more information.

Answer 1

I finally solved it by downgrading to specific version of Spark which 2.4.0. Here are the versions I used:
spark=2.4.0
kafka=2.12-2.3.0
scala=2.11.12
openJDK=1.8.0_222
Here is the spark-submit :
spark-submit --packages org.apache.spark:spark-sql-kafka-0-10_2.11:2.4.0,org.apache.kafka:kafka-clients:2.3.0 --master yarn --deploy-mode client /opt/hadoop/spark/spark-application/main/kafka-spark-structured-stream.py

Answer 2

This probably due to your application dependencies; I think there is an incompatibility between the Kafka-client and the Spark version you're using...
I got the same error using Scala and I solved it by downgrading to Spark 2.3 instead of 2.4.