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Posted to dev@phoenix.apache.org by "Ladislav Jech (JIRA)" <ji...@apache.org> on 2019/05/06 10:01:00 UTC
[jira] [Updated] (PHOENIX-5270) java.lang.AbstractMethodError:
org.apache.phoenix.spark.DefaultSource.createRelation
[ https://issues.apache.org/jira/browse/PHOENIX-5270?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Ladislav Jech updated PHOENIX-5270:
-----------------------------------
Issue Type: Bug (was: Improvement)
> java.lang.AbstractMethodError: org.apache.phoenix.spark.DefaultSource.createRelation
> ------------------------------------------------------------------------------------
>
> Key: PHOENIX-5270
> URL: https://issues.apache.org/jira/browse/PHOENIX-5270
> Project: Phoenix
> Issue Type: Bug
> Environment: Spark env (localhost):
>
> {code:java}
> Welcome to
> ____ __
> / __/__ ___ _____/ /__
> _\ \/ _ \/ _ `/ __/ '_/
> /___/ .__/\_,_/_/ /_/\_\ version 2.4.2
> /_/
> Using Scala version 2.12.8 (Java HotSpot(TM) 64-Bit Server VM, Java 1.8.0_202)
> Type in expressions to have them evaluated.
> Type :help for more information.{code}
>
>
> Hbase version (on cloudera cluster): HBase 1.2.0-cdh5.12.2
> Phoenix distro used used: apache-phoenix-4.14.0-cdh5.14.2-bin
> Reporter: Ladislav Jech
> Priority: Major
>
> I get issue with Spark 2.4.2 Standalone binary and Phoenix:
> {code:java}
> py4j.protocol.Py4JJavaError: An error occurred while calling o134.save.
> : java.lang.AbstractMethodError: org.apache.phoenix.spark.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:46)
> 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$1(SparkPlan.scala:131)
> at org.apache.spark.sql.execution.SparkPlan.$anonfun$executeQuery$1(SparkPlan.scala:155)
> at org.apache.spark.rdd.RDDOperationScope$.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$1(DataFrameWriter.scala:676)
> at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$1(SQLExecution.scala:78)
> at org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:125)
> at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:73)
> at org.apache.spark.sql.DataFrameWriter.runCommand(DataFrameWriter.scala:676)
> at org.apache.spark.sql.DataFrameWriter.saveToV1Source(DataFrameWriter.scala:290)
> 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){code}
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