使用phoenix连接器

时间:2017-09-20 07:15:12

标签: apache-spark hive hbase apache-spark-sql phoenix

我有一个指向Hbase表的Hive表。我有一个spark作业,它创建的数据集的架构等于hbase表。我使用下面的命令将此数据帧保存到hbase表。

sql.write().format("org.apache.phoenix.spark")
    .mode(SaveMode.Overwrite).option("table", targetTable)
    .option("zkUrl", "localhost:2181:/hbase-unsecure)
    .insertInto(targetTable);

执行时我得到以下错误..

java.lang.NullPointerException
at org.apache.phoenix.hive.PhoenixStorageHandler.configureJobProperties(PhoenixStorageHandler.java:185)
at org.apache.phoenix.hive.PhoenixStorageHandler.configureOutputJobProperties(PhoenixStorageHandler.java:130)
at org.apache.spark.sql.hive.HiveTableUtil$.configureJobPropertiesForStorageHandler(TableReader.scala:324)
at org.apache.spark.sql.hive.SparkHiveWriterContainer.<init>(hiveWriterContainers.scala:67)
at org.apache.spark.sql.hive.execution.InsertIntoHiveTable.sideEffectResult$lzycompute(InsertIntoHiveTable.scala:226)
at org.apache.spark.sql.hive.execution.InsertIntoHiveTable.sideEffectResult(InsertIntoHiveTable.scala:142)
at org.apache.spark.sql.hive.execution.InsertIntoHiveTable.doExecute(InsertIntoHiveTable.scala:310)
at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:115)
at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:115)
at org.apache.spark.sql.execution.SparkPlan$$anonfun$executeQuery$1.apply(SparkPlan.scala:136)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
at org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:133)
at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:114)
at org.apache.spark.sql.execution.QueryExecution.toRdd$lzycompute(QueryExecution.scala:86)
at org.apache.spark.sql.execution.QueryExecution.toRdd(QueryExecution.scala:86)
at org.apache.spark.sql.DataFrameWriter.insertInto(DataFrameWriter.scala:259)
at org.apache.spark.sql.DataFrameWriter.insertInto(DataFrameWriter.scala:239)
at com.lti.unitrax.data.load.IncrementalHiveTableLoadUnitraxMain.fullDataLoad(IncrementalHiveTableLoadUnitraxMain.java:166)
at com.lti.unitrax.data.load.TestDataLoad.main(TestDataLoad.java:38)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at org.apache.spark.deploy.yarn.ApplicationMaster$$anon$2.run(ApplicationMaster.scala:627)

非常感谢任何帮助。

我正在使用spark2和HDP群集。

1 个答案:

答案 0 :(得分:0)

我知道我参加比赛很晚,但是看到了这篇文章。以为我的回答可以帮助某人。

这是我在实施过程中所做的事情

  1. df =数据框
  2. zookeeperURL =您的集群的Zookeeper URL
  3. _tgtTable =您要在其中写入数据的表
df.write.format("org.apache.phoenix.spark")
  .mode(org.apache.spark.sql.SaveMode.Overwrite)
  .options(collection.immutable.Map("zkUrl" -> zookeeperURL, "table" -> _tgtTable)) 
  .save()