标签:nbsp slf4j pen spark lan ado AMM res view
spark streamming 程序提交到yarn 上运行
报错
SLF4J: Class path contains multiple SLF4J bindings. SLF4J: Found binding in [jar:file:/mnt/disk3/hadoop/yarn/local/filecache/491/spark2-hdp-yarn-archive.tar.gz/slf4j-log4j12-1.7.16.jar!/org/slf4j/impl/StaticLoggerBinder.class] SLF4J: Found binding in [jar:file:/usr/hdp/3.0.0.0-1634/hadoop/lib/slf4j-log4j12-1.7.25.jar!/org/slf4j/impl/StaticLoggerBinder.class] SLF4J: See http://www.slf4j.org/codes.html#multiple_bindings for an explanation. SLF4J: Actual binding is of type [org.slf4j.impl.Log4jLoggerFactory] 19/10/24 12:02:09 ERROR ApplicationMaster: Uncaught exception: java.util.concurrent.TimeoutException: Futures timed out after [100000 milliseconds] at scala.concurrent.impl.Promise$DefaultPromise.ready(Promise.scala:219) at scala.concurrent.impl.Promise$DefaultPromise.result(Promise.scala:223) at org.apache.spark.util.ThreadUtils$.awaitResult(ThreadUtils.scala:201) at org.apache.spark.deploy.yarn.ApplicationMaster.runDriver(ApplicationMaster.scala:498) at org.apache.spark.deploy.yarn.ApplicationMaster.org$apache$spark$deploy$yarn$ApplicationMaster$$runImpl(ApplicationMaster.scala:345) at org.apache.spark.deploy.yarn.ApplicationMaster$$anonfun$run$2.apply$mcV$sp(ApplicationMaster.scala:260) at org.apache.spark.deploy.yarn.ApplicationMaster$$anonfun$run$2.apply(ApplicationMaster.scala:260) at org.apache.spark.deploy.yarn.ApplicationMaster$$anonfun$run$2.apply(ApplicationMaster.scala:260) at org.apache.spark.deploy.yarn.ApplicationMaster$$anon$5.run(ApplicationMaster.scala:815) at java.security.AccessController.doPrivileged(Native Method) at javax.security.auth.Subject.doAs(Subject.java:422) at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1688) at org.apache.spark.deploy.yarn.ApplicationMaster.doAsUser(ApplicationMaster.scala:814) at org.apache.spark.deploy.yarn.ApplicationMaster.run(ApplicationMaster.scala:259) at org.apache.spark.deploy.yarn.ApplicationMaster$.main(ApplicationMaster.scala:839) at org.apache.spark.deploy.yarn.ApplicationMaster.main(ApplicationMaster.scala)
[java][spark][spark streamming]java.util.concurrent.TimeoutException: Futures timed out
标签:nbsp slf4j pen spark lan ado AMM res view
原文地址:https://www.cnblogs.com/fadedlemon/p/11732084.html