如何使用PySpark将数据框加载到Kudu表

如何解决如何使用PySpark将数据框加载到Kudu表

我有以下数据框

+---+---+
| id|txt|
+---+---+
|  1|foo|
|  2|bar|
+---+---+

我正在尝试使用以下内容加载到kudu

df.write.format('org.apache.kudu.spark.kudu').options(**{"kudu.master":"<master1>:7051","kudu.master":"<master2>:7051","kudu.master":"<master3>:7051","kudu.table":"default.tst_tbl"}).mode("append").save()

我收到以下错误

  File "/opt/cloudera/parcels/CDH-6.3.3-1.cdh6.3.3.p0.1796617/lib/spark/python/lib/pyspark.zip/pyspark/sql/readwriter.py",line 734,in save
  File "/opt/cloudera/parcels/CDH-6.3.3-1.cdh6.3.3.p0.1796617/lib/spark/python/lib/py4j-0.10.7-src.zip/py4j/java_gateway.py",line 1257,in __call__
  File "/opt/cloudera/parcels/CDH-6.3.3-1.cdh6.3.3.p0.1796617/lib/spark/python/lib/pyspark.zip/pyspark/sql/utils.py",line 63,in deco
  File "/opt/cloudera/parcels/CDH-6.3.3-1.cdh6.3.3.p0.1796617/lib/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 o104.save.
: java.lang.AbstractMethodError: org.apache.kudu.spark.kudu.DefaultSource.createRelation(Lorg/apache/spark/sql/SQLContext;Lorg/apache/spark/sql/SaveMode;Lscala/collection/immutable/Map;Lorg/apache/spark/sql/Dataset;)Lorg/apache/spark/sql/sources/BaseRelation;
        at org.apache.spark.sql.execution.datasources.SaveIntoDataSourceCommand.run(SaveIntoDataSourceCommand.scala:45)
        at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult$lzycompute(commands.scala:70)
        at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult(commands.scala:68)
        at org.apache.spark.sql.execution.command.ExecutedCommandExec.doExecute(commands.scala:86)
        at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:131)
        at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:127)
        at org.apache.spark.sql.execution.SparkPlan$$anonfun$executeQuery$1.apply(SparkPlan.scala:155)
        at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
        at org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:152)
        at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:127)
        at org.apache.spark.sql.execution.QueryExecution.toRdd$lzycompute(QueryExecution.scala:80)
        at org.apache.spark.sql.execution.QueryExecution.toRdd(QueryExecution.scala:80)
        at org.apache.spark.sql.DataFrameWriter$$anonfun$runCommand$1.apply(DataFrameWriter.scala:677)
        at org.apache.spark.sql.DataFrameWriter$$anonfun$runCommand$1.apply(DataFrameWriter.scala:677)
        at org.apache.spark.sql.execution.SQLExecution$$anonfun$withNewExecutionId$1.apply(SQLExecution.scala:78)
        at org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:125)
        at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:73)
        at org.apache.spark.sql.DataFrameWriter.runCommand(DataFrameWriter.scala:677)
        at org.apache.spark.sql.DataFrameWriter.saveToV1Source(DataFrameWriter.scala:285)
        at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:271)
        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)

spark-submit test.py