jiangjiguang0719 created YARN-11291:
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Summary: Can hadoop3.3.4 support spark job containing jars
compiled on java17
Key: YARN-11291
URL: https://issues.apache.org/jira/browse/YARN-11291
Project: Hadoop YARN
Issue Type: Bug
Environment: hadoop: 3.3.4
spark: 3.3.0
java: 17
Reporter: jiangjiguang0719
I have installed a hadoop cluster versioned3.3.4 on java1.8.
Now I submit spark job to yarn, it does not works, and an error occurred
The spark job contains jars compiled on java17 .
How can I do to support spark job containing jar compiled on java17.
The error log is:
22/09/01 13:18:09 WARN TaskSetManager: Lost task 0.0 in stage 2.0 (TID 1824)
(worker03 executor 34): java.lang.UnsupportedClassVersionError:
org/apache/parquet/column/values/bitpacking/Packer has been compiled by a more
recent version of the Java Runtime (class file version 61.0), this version of
the Java Runtime only recognizes class file versions up to 52.0
at java.lang.ClassLoader.defineClass1(Native Method)
at java.lang.ClassLoader.defineClass(ClassLoader.java:763)
at
java.security.SecureClassLoader.defineClass(SecureClassLoader.java:142)
at java.net.URLClassLoader.defineClass(URLClassLoader.java:468)
at java.net.URLClassLoader.access$100(URLClassLoader.java:74)
at java.net.URLClassLoader$1.run(URLClassLoader.java:369)
at java.net.URLClassLoader$1.run(URLClassLoader.java:363)
at java.security.AccessController.doPrivileged(Native Method)
at java.net.URLClassLoader.findClass(URLClassLoader.java:362)
at java.lang.ClassLoader.loadClass(ClassLoader.java:424)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:349)
at java.lang.ClassLoader.loadClass(ClassLoader.java:357)
at
org.apache.spark.sql.execution.datasources.parquet.VectorizedRleValuesReader.init(VectorizedRleValuesReader.java:132)
at
org.apache.spark.sql.execution.datasources.parquet.VectorizedRleValuesReader.<init>(VectorizedRleValuesReader.java:97)
at
org.apache.spark.sql.execution.datasources.parquet.VectorizedColumnReader.readPageV2(VectorizedColumnReader.java:381)
at
org.apache.spark.sql.execution.datasources.parquet.VectorizedColumnReader.access$100(VectorizedColumnReader.java:49)
at
org.apache.spark.sql.execution.datasources.parquet.VectorizedColumnReader$1.visit(VectorizedColumnReader.java:281)
at
org.apache.spark.sql.execution.datasources.parquet.VectorizedColumnReader$1.visit(VectorizedColumnReader.java:268)
at org.apache.parquet.column.page.DataPageV2.accept(DataPageV2.java:192)
at
org.apache.spark.sql.execution.datasources.parquet.VectorizedColumnReader.readPage(VectorizedColumnReader.java:268)
at
org.apache.spark.sql.execution.datasources.parquet.VectorizedColumnReader.readBatch(VectorizedColumnReader.java:186)
at
org.apache.spark.sql.execution.datasources.parquet.VectorizedParquetRecordReader.nextBatch(VectorizedParquetRecordReader.java:316)
at
org.apache.spark.sql.execution.datasources.parquet.VectorizedParquetRecordReader.nextKeyValue(VectorizedParquetRecordReader.java:212)
at
org.apache.spark.sql.execution.datasources.RecordReaderIterator.hasNext(RecordReaderIterator.scala:39)
at
org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.hasNext(FileScanRDD.scala:116)
at
org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.nextIterator(FileScanRDD.scala:274)
at
org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.hasNext(FileScanRDD.scala:116)
at
org.apache.spark.sql.execution.FileSourceScanExec$$anon$1.hasNext(DataSourceScanExec.scala:553)
at
org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage2.columnartorow_nextBatch_0$(Unknown
Source)
at
org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage2.processNext(Unknown
Source)
at
org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
at
org.apache.spark.sql.execution.WholeStageCodegenExec$$anon$1.hasNext(WholeStageCodegenExec.scala:760)
at
org.apache.spark.sql.execution.SparkPlan.$anonfun$getByteArrayRdd$1(SparkPlan.scala:364)
at
org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2(RDD.scala:890)
at
org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2$adapted(RDD.scala:890)
at
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:365)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:329)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
at org.apache.spark.scheduler.Task.run(Task.scala:136)
at
org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:548)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1504)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:551)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
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