greenplum spark连接器java.util.nosuchelementexception:none.get

ggazkfy8  于 2021-05-27  发布在  Spark
关注(0)|答案(1)|浏览(463)

我的工作环境如下：。hadoop 2.7.2版。spark 2.3.0版。greenplum6.8.1<-我知道这个版本是最新的。
我必须从gpdb表中创建dataframe（rdd）。所以，我知道一个“青梅Spark连接器”。建筑听起来不错。但它不起作用。
我试着这样：

spark/bin$spark-shell 
--master spark://10.40.203.99:7077 
--jars /data2/install_files/greenplum-spark_2.11-1.6.2.jar,/data2/install_files/postgresql-42.2.5.jar,/data2/install_files/jetty-io-9.2.26.v20180806.jar,/data2/install_files/jetty-server-9.2.26.v20180806.jar,/data2/install_files/jetty-util-9.2.26.v20180806.jar 
--driver-class-path /data2/install_files/postgresql-42.2.5.jar

spark-shell
scala> scala> :paste
// Entering paste mode (ctrl-D to finish)

val ddf = spark.read.format("greenplum")
.option("url", "jdbc:postgresql://{GPDB_MASTER_IP}/{DATABASE_NAME}")
.option("server.port","12900")
.option("dbtable", "airports")
.option("dbschema","test")
.option("user", "user")
.option("password", "passw0rd!")
.option("partitionColumn","airportid")
.option("partitions",1)
.load()

// Exiting paste mode, now interpreting.

2020-07-01 01:55:20 WARN  ObjectStore:6666 - Version information not found in metastore. hive.metastore.schema.verification is not enabled so recording the schema version 1.2.0
2020-07-01 01:55:20 WARN  ObjectStore:568 - Failed to get database default, returning NoSuchObjectException
2020-07-01 01:55:21 WARN  ObjectStore:568 - Failed to get database global_temp, returning NoSuchObjectException
ddf: org.apache.spark.sql.DataFrame = [airportid: int, name: string ... 3 more fields]

scala> ddf.show()
[Stage 0:>                                                          (0 + 1) / 1]2020-07-01 01:55:33 WARN  TaskSetManager:66 - Lost task 0.0 in stage 0.0 (TID 0, 10.40.203.99, executor 0): java.util.NoSuchElementException: None.get
        at scala.None$.get(Option.scala:347)
        at scala.None$.get(Option.scala:345)
        at io.pivotal.greenplum.spark.jdbc.Jdbc$.getDistributedTransactionId(Jdbc.scala:500)
        at io.pivotal.greenplum.spark.externaltable.GreenplumRowIterator.<init>(GreenplumRowIterator.scala:100)
        at io.pivotal.greenplum.spark.GreenplumRDD.compute(GreenplumRDD.scala:49)
        at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
        at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
        at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
        at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
        at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
        at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
        at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
        at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
        at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
        at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
        at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
        at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
        at org.apache.spark.scheduler.Task.run(Task.scala:109)
        at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:345)
        at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
        at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
        at java.lang.Thread.run(Thread.java:748)

2020-07-01 01:55:33 ERROR TaskSetManager:70 - Task 0 in stage 0.0 failed 4 times; aborting job
org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 0.0 failed 4 times, most recent failure: Lost task 0.3 in stage 0.0 (TID 3, 10.40.203.99, executor 0): java.util.NoSuchElementException: None.get
        at scala.None$.get(Option.scala:347)
        at scala.None$.get(Option.scala:345)
        at io.pivotal.greenplum.spark.jdbc.Jdbc$.getDistributedTransactionId(Jdbc.scala:500)
        at io.pivotal.greenplum.spark.externaltable.GreenplumRowIterator.<init>(GreenplumRowIterator.scala:100)
        at io.pivotal.greenplum.spark.GreenplumRDD.compute(GreenplumRDD.scala:49)
        at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
        at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
        at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
        at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
        at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
        at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
        at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
        at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
        at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
        at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
        at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
        at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
        at org.apache.spark.scheduler.Task.run(Task.scala:109)
        at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:345)
        at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
        at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
        at java.lang.Thread.run(Thread.java:748)

Driver stacktrace:
  at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1599)
  at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1587)
  at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1586)
  at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
  at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)
  at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1586)
  at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:831)
  at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:831)
  at scala.Option.foreach(Option.scala:257)
  at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:831)
  at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1820)
  at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1769)
  at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1758)
  at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48)
  at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:642)
  at org.apache.spark.SparkContext.runJob(SparkContext.scala:2027)
  at org.apache.spark.SparkContext.runJob(SparkContext.scala:2048)
  at org.apache.spark.SparkContext.runJob(SparkContext.scala:2067)
  at org.apache.spark.sql.execution.SparkPlan.executeTake(SparkPlan.scala:363)
  at org.apache.spark.sql.execution.CollectLimitExec.executeCollect(limit.scala:38)
  at org.apache.spark.sql.Dataset.org$apache$spark$sql$Dataset$$collectFromPlan(Dataset.scala:3272)
  at org.apache.spark.sql.Dataset$$anonfun$head$1.apply(Dataset.scala:2484)
  at org.apache.spark.sql.Dataset$$anonfun$head$1.apply(Dataset.scala:2484)
  at org.apache.spark.sql.Dataset$$anonfun$52.apply(Dataset.scala:3253)
  at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:77)
  at org.apache.spark.sql.Dataset.withAction(Dataset.scala:3252)
  at org.apache.spark.sql.Dataset.head(Dataset.scala:2484)
  at org.apache.spark.sql.Dataset.take(Dataset.scala:2698)
  at org.apache.spark.sql.Dataset.showString(Dataset.scala:254)
  at org.apache.spark.sql.Dataset.show(Dataset.scala:723)
  at org.apache.spark.sql.Dataset.show(Dataset.scala:682)
  at org.apache.spark.sql.Dataset.show(Dataset.scala:691)
  ... 49 elided
Caused by: java.util.NoSuchElementException: None.get
  at scala.None$.get(Option.scala:347)
  at scala.None$.get(Option.scala:345)
  at io.pivotal.greenplum.spark.jdbc.Jdbc$.getDistributedTransactionId(Jdbc.scala:500)
  at io.pivotal.greenplum.spark.externaltable.GreenplumRowIterator.<init>(GreenplumRowIterator.scala:100)
  at io.pivotal.greenplum.spark.GreenplumRDD.compute(GreenplumRDD.scala:49)
  at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
  at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
  at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
  at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
  at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
  at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
  at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
  at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
  at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
  at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
  at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
  at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
  at org.apache.spark.scheduler.Task.run(Task.scala:109)
  at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:345)
  at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
  at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
  at java.lang.Thread.run(Thread.java:748)
  • 出现“无此元素异常”。所以，我试着检查.jar依赖关系。但是我可以通过pom.xml获得任何构建信息。如何开始检查此代码。。。
apache-sparkgreenplum

1条答案

按热度按时间
fdx2calv

fdx2calv1#

greenplumSpark连接器版本1.6.2与greenplum版本6.7.1+不兼容。目前，我们不提供这些版本的greenplum连接器。我们将发布一个新的greenplumSpark连接器，支持所有版本的greenplum在不久的将来。

赞(0）分享  回复(0）举报  2021-05-27
我来回答

相关问题

    查看更多

    热门标签

    更多
    JavaquerypythonNode开发语言requestUtil数据库Table后端算法LoggerMessageElementParser

    最新问答

    更多
    • 蜀ICP备2022004421号-2 NULL123 https://www.null123.com © All rights reserved
    • 本站内容来源互联网,如果侵犯您的权益请联系我们删除, 联系方式：448109455@qq.com