无法使用Spark.Net UDF和HDInsight群集

如何解决无法使用Spark.Net UDF和HDInsight群集

我试图在prod env中运行一个简单的应用程序，其中包含来自https://github.com/dotnet/spark/blob/master/examples/Microsoft.Spark.CSharp.Examples/Sql/Batch/Basic.cs的代码 应用程序运行良好，并向stdout发出输出，直到遇到第一个UDF时此代码崩溃。 感谢您可以分享的任何见解。

Env。 代码是使用

打包的

dotnet publish -c Release -f netcoreapp3.1 -r ubuntu.16.04-x64

HDInsight群集HDI 4.0，Spark 2.4 -服务器已按照https://docs.microsoft.com/en-us/dotnet/spark/tutorials/hdinsight-deployment

中的指南进行设置

spark-submit --master yarn --conf spark.yarn.appMasterEnv.DOTNET_ASSEMBLY_SEARCH_PATHS="./app/publish.zip" --archives wasbs://[e-mail]/SparkJobs/publish.zip#mySparkApp --class org.apache.spark.deploy.dotnet.DotnetRunner wasbs://[e-mail]/SparkJobs/microsoft-spark-2.4.x-0.12.1.jar wasbs://[e-mail]/SparkJobs/publish.zip mySparkApp

（以及在此情况下的各种变体，--deploy-mode集群，各种路径等，等等都无效）

标准输出： ...

+---+-----+
|age| name|
+---+-----+
| 22|Ricky|
| 36| Jeff|
| 62|Geddy|
+---+-----+

[2020-10-28T09:15:10.1478641Z] [wn0-hdinsi] [Error] [JvmBridge] JVM method execution Failed: Nonstatic method 'showString' Failed for class '41' when called with 3 arguments ([Index=1,Type=Int32,Value=20],[Index=2,[Index=3,Type=Boolean,Value=False],)
[2020-10-28T09:15:10.1480587Z] [wn0-hdinsi] [Error] [JvmBridge] org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 16.0 Failed 4 times,most recent failure: Lost task 0.3 in stage 16.0 (TID 210,wn0-hdinsi.xwccrqijnmqujdjghwrza0nzbb.fx.internal.cloudapp.net,executor 2): org.apache.spark.api.python.PythonException: System.NullReferenceException: Object reference not set to an instance of an object.
at Microsoft.Spark.Utils.UdfSerDe.<>c.b__10_0(TypeData td) in //src/csharp/Microsoft.Spark/Utils/UdfSerDe.cs:line 262
at System.Collections.Concurrent.ConcurrentDictionary2.GetorAdd(TKey key,Func2 valueFactory)
at Microsoft.Spark.Utils.UdfSerDe.DeserializeType(TypeData typeData) in //src/csharp/Microsoft.Spark/Utils/UdfSerDe.cs:line 258
at Microsoft.Spark.Utils.UdfSerDe.Deserialize(UdfData udfData) in //src/csharp/Microsoft.Spark/Utils/UdfSerDe.cs:line 160
at Microsoft.Spark.Utils.CommandSerDe.DeserializeUdfs[T](UdfWrapperData data,Int32& nodeIndex,Int32& udfIndex) in //src/csharp/Microsoft.Spark/Utils/CommandSerDe.cs:line 333
at Microsoft.Spark.Utils.CommandSerDe.Deserialize[T](Stream stream,SerializedMode& serializerMode,SerializedMode& deserializerMode,String& runMode) in /_/src/csharp/Microsoft.Spark/Utils/CommandSerDe.cs:line 306
at Microsoft.Spark.Worker.Processor.CommandProcessor.ReadsqlCommands(PythonEvalType evalType,Stream stream) in D:\a\1\s\src\csharp\Microsoft.Spark.Worker\Processor\CommandProcessor.cs:line 188
at Microsoft.Spark.Worker.Processor.CommandProcessor.ReadsqlCommands(PythonEvalType evalType,Stream stream,Version version) in D:\a\1\s\src\csharp\Microsoft.Spark.Worker\Processor\CommandProcessor.cs:line 98
at Microsoft.Spark.Worker.Processor.CommandProcessor.Process(Stream stream) in D:\a\1\s\src\csharp\Microsoft.Spark.Worker\Processor\CommandProcessor.cs:line 43
at Microsoft.Spark.Worker.Processor.PayloadProcessor.Process(Stream stream) in D:\a\1\s\src\csharp\Microsoft.Spark.Worker\Processor\PayloadProcessor.cs:line 82
at Microsoft.Spark.Worker.TaskRunner.Processstream(Stream inputStream,Stream outputStream,Version version,Boolean& readComplete) in D:\a\1\s\src\csharp\Microsoft.Spark.Worker\TaskRunner.cs:line 143
at org.apache.spark.api.python.BasePythonRunner$ReaderIterator.handlePythonException(PythonRunner.scala:456)
at org.apache.spark.sql.execution.python.PythonUDFRunner$$anon$1.read(PythonUDFRunner.scala:81)
at org.apache.spark.sql.execution.python.PythonUDFRunner$$anon$1.read(PythonUDFRunner.scala:64)
at org.apache.spark.api.python.BasePythonRunner$ReaderIterator.hasNext(PythonRunner.scala:410)
at org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:37)
at scala.collection.Iterator$$anon$12.hasNext(Iterator.scala:440)
at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:409)
at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:409)
at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage2.processNext(UnkNown Source)
at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
at org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$13$$anon$1.hasNext(WholeStageCodegenExec.scala:636)
at org.apache.spark.sql.execution.SparkPlan$$anonfun$2.apply(SparkPlan.scala:255)
at org.apache.spark.sql.execution.SparkPlan$$anonfun$2.apply(SparkPlan.scala:247)
at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$24.apply(RDD.scala:836)
at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$24.apply(RDD.scala:836)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
at org.apache.spark.scheduler.Task.run(Task.scala:123)
at org.apache.spark.executor.Executor$TaskRunner$$anonfun$10.apply(Executor.scala:408)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1360)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:414)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)

------ cut -------- 确实，我的问题确实是路径问题。对于任何其他有相同问题的人，我都可以通过将带有UDF的dll（可以与一般spark应用程序使用相同的dll）工作在“ --files”中来使其工作。因此，基本上，您需要一个带有程序集的zip文件，然后直接链接到dll。可能有一种更聪明的方法，但这对我有用（在群集模式下运行时）： 火花提交-部署模式群集-主纱线-文件wasbs：//[e-mail]/SparkJobs/mySparkApp.dll-类org.apache.spark.deploy.dotnet。 DotnetRunner wasbs：//[e-mail]/SparkJobs/microsoft-spark-2.4.x-0.12.1.jar wasbs：//[e-mail]/SparkJobs/ publish.zip mySparkApp

解决方法

错误是因为找不到包含您代码的dll。

两件事，首先是在yarn模式下。在DOTNET_ASSEMBLY_SEARCH_PATHS的开头，导致用户主目录位于路径的前面，因此它不是currentdirectory / app / publish.zip，因此如果不同，则它将在错误的位置查找。

其次，请确保publish.zip不包含文件夹，并且带有udf的dll位于zip的顶层。

我没有将zip放入app文件夹中，而是使用当前文件夹，不用担心DOTNET_ASSEMBLY_SEARCH_PATHS

有关演练，请确保您遵循：

https://docs.microsoft.com/en-us/dotnet/spark/tutorials/hdinsight-deployment