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
我遇到了同样的问题。好吧，在Spark 2.3中，Pyspark接受-Jars选项，并且正在工作。因此，在此版本中，您需要的只是2个罐子：
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
如果您不想使用jar
，请通过此软件包
--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
Scala12与Spark 3兼容，使用以下软件包：
org.apache.spark:spark-sql-kafka-0-10_2.12:3.0.0