这个问题又让我们碰到了,发生次数不频繁但是一旦发生就会造成ResourceManager服务崩溃、ZK注册watch过多等问题。不彻底解决这个问题心中一直是个梗,所以基于前两次的分析和阅读社区最新版Hadoop 3.2.1代码之后,给生产环境YARN打patch最终解决这个问题。对于疑难问题,每遇到一次就有一次不同的感悟,接下来是我本次分析和解决该问题的过程记录。前两次解决和分析该问题的记录如下:
- ZooKeeper节点数据量限制引起的Hadoop YARN ResourceManager崩溃原因分析
- ZooKeeper节点数据量限制引起的Hadoop YARN ResourceManager崩溃原因分析(二)
环境
- Hadoop版本:Apache Hadoop 2.6.3
- ZooKeeper版本:ZooKeeper 3.4.10
- 两个ResourceManager节点:主节点RM01,从节点RM02
问题原因
这个问题很难复现,前两次一直没找到产生该问题的原因,打了patch之后,我们在日志中发现,产生该问题主要是由于部分异常任务导致的,日志如下:
2020-04-28 10:05:54 INFO org.apache.hadoop.yarn.server.resourcemanager.recovery.ZKRMStateStore:768 - Application update attemptState data size for /rmstore/ZKRMStateRoot/RMAppRoot/application_1587969707206_16259/appattempt_1587969707206_16259_000001 is 20266528. Exceed the maximum allowed 3145728 size. ApplicationAttemptState info: ApplicationAttemptState{attemptId=appattempt_1587969707206_16259_000001, diagnostics='User class threw exception: java.lang.RuntimeException: org.apache.spark.SparkException: Job aborted due to stage failure: Task 15 in stage 2.0 failed 4 times, most recent failure: Lost task 15.3 in stage 2.0 (TID 4224, datanode44.bi): java.util.concurrent.ExecutionException: java.lang.Exception: failed to compile: org.codehaus.janino.JaninoRuntimeException: Code of method "(Lorg/apache/spark/sql/catalyst/expressions/GeneratedClass$SpecificUnsafeProjection;Lorg/apache/spark/sql/catalyst/InternalRow;)V" of class "org.apache.spark.sql.catalyst.expressions.GeneratedClass$SpecificUnsafeProjection" grows beyond 64 KB
/* 001 */ public java.lang.Object generate(Object[] references) {
/* 002 */ return new SpecificUnsafeProjection(references);
/* 003 */ }
/* 004 */
/* 005 */ class SpecificUnsafeProjection extends org.apache.spark.sql.catalyst.expressions.UnsafeProjection {
/* 006 */
/* 007 */ private Object[] references;
/* 008 */ private scala.collection.immutable.Set hset;
/* 009 */ private boolean hasNull;
/* 010 */ private UnsafeRow result;
/* 011 */ private org.apache.spark.sql.catalyst.expressions.codegen.BufferHolder holder;
/* 012 */ private org.apache.spark.sql.catalyst.expressions.codegen.UnsafeRowWriter rowWriter;
当任务出现异常时,YARN会保存任务的异常信息,当异常信息很多时,YARN往ZK保存任务状态的数据量就会超过ZK的限制。从日志中可以看出,出现异常的Spark任务状态数据是20266528字节,也就是19MB,远远超过了我们所设置的3MB。在YARN监控界面上可以看到该任务的异常信息有20万行:



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