ERROR python.Converter: Failed to load converter: org.apache.spark.examples.pythonconverters.ImmutableBytesWritableToStringConverter
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/var/lib/spark/cspark/python/pyspark/context.py", line 678, in newAPIHadoopRDD
    jconf, batchSize)
  File "/var/lib/spark/cspark/python/lib/py4j-0.10.4-src.zip/py4j/java_gateway.py", line 1133, in __call__
  File "/var/lib/spark/cspark/python/pyspark/sql/utils.py", line 63, in deco
    return f(*a, **kw)
  File "/var/lib/spark/cspark/python/lib/py4j-0.10.4-src.zip/py4j/protocol.py", line 319, in get_return_value
py4j.protocol.Py4JJavaError: An error occurred while calling z:org.apache.spark.api.python.PythonRDD.newAPIHadoopRDD.
: java.lang.ClassNotFoundException: org.apache.spark.examples.pythonconverters.ImmutableBytesWritableToStringConverter
	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 java.lang.Class.forName0(Native Method)
	at java.lang.Class.forName(Class.java:348)
	at org.apache.spark.util.Utils$.classForName(Utils.scala:229)
	at org.apache.spark.api.python.Converter$$anonfun$getInstance$1$$anonfun$1.apply(PythonHadoopUtil.scala:46)
	at org.apache.spark.api.python.Converter$$anonfun$getInstance$1$$anonfun$1.apply(PythonHadoopUtil.scala:45)
	at scala.util.Try$.apply(Try.scala:192)
	at org.apache.spark.api.python.Converter$$anonfun$getInstance$1.apply(PythonHadoopUtil.scala:45)
	at org.apache.spark.api.python.Converter$$anonfun$getInstance$1.apply(PythonHadoopUtil.scala:44)
	at scala.Option.map(Option.scala:146)
	at org.apache.spark.api.python.Converter$.getInstance(PythonHadoopUtil.scala:44)
	at org.apache.spark.api.python.PythonRDD$.getKeyValueConverters(PythonRDD.scala:743)
	at org.apache.spark.api.python.PythonRDD$.convertRDD(PythonRDD.scala:756)
	at org.apache.spark.api.python.PythonRDD$.newAPIHadoopRDD(PythonRDD.scala:580)
	at org.apache.spark.api.python.PythonRDD.newAPIHadoopRDD(PythonRDD.scala)
	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)
 

解決辦法:

在Spark 2.0版本上缺少相關把hbase的資料轉換python可讀取的jar包，需要我們另行下載。

下載jar包spark-examples_2.11-1.6.0-typesafe-001.jar(https://mvnrepository.com/artifact/org.apache.spark/spark-examples_2.11/1.6.0-typesafe-001),然後在你的spark安裝目錄下建立目錄存放這個jar

 執行如下命令

 1: mkdir /var/lib/spark/jars/hbase/

 2:rz命令上傳剛才下載的jar包(現在最新版本是spark-examples_2.11-1.6.0-typesafe-001.jar)

3:進入spark的conf目錄下修改spark-env.sh新增:

export SPARK_DIST_CLASSPATH=$(/opt/cloudera/parcels/CDH-5.13.1-1.cdh5.13.1.p0.2/bin/hadoop classpath):$(/opt/cloudera/parcels/CDH-5.13.1-1.cdh5.13.1.p0.2/bin/hbase classpath):/var/lib/spark/jars/hbase/*

/opt/cloudera/parcels/CDH-5.13.1-1.cdh5.13.1.p0.2/bin/hadoop:改成自己的hadoop安裝目錄

/opt/cloudera/parcels/CDH-5.13.1-1.cdh5.13.1.p0.2/bin/hbase:改成自己的hbase安裝目錄

最後重啟下hbase,ok了