Yongjia Wang created HADOOP-12496: ------------------------------------- Summary: AWS SDK version Key: HADOOP-12496 URL: https://issues.apache.org/jira/browse/HADOOP-12496 Project: Hadoop Common Issue Type: Improvement Components: fs/s3 Reporter: Yongjia Wang
hadoop-aws jar still depends on the very old 1.7.4 version of aws-java-sdk. In newer versions of SDK, there is incompatible API changes that leads to the following error when trying to use the S3A class and newer versions of sdk presents. This is because S3A is calling the method with "int" as the parameter type while the new SDK is expecting "long". This makes it impossible to use kinesis + s3a in the same process. It would be very helpful to upgrade hadoop-awas's aws-sdk version. java.lang.NoSuchMethodError: com.amazonaws.services.s3.transfer.TransferManagerConfiguration.setMultipartUploadThreshold(I)V at org.apache.hadoop.fs.s3a.S3AFileSystem.initialize(S3AFileSystem.java:285) at org.apache.hadoop.fs.FileSystem.createFileSystem(FileSystem.java:2653) at org.apache.hadoop.fs.FileSystem.access$200(FileSystem.java:92) at org.apache.hadoop.fs.FileSystem$Cache.getInternal(FileSystem.java:2687) at org.apache.hadoop.fs.FileSystem$Cache.get(FileSystem.java:2669) at org.apache.hadoop.fs.FileSystem.get(FileSystem.java:371) at org.apache.hadoop.fs.Path.getFileSystem(Path.java:295) at org.apache.spark.sql.execution.datasources.ResolvedDataSource$.apply(ResolvedDataSource.scala:130) at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:114) at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:104) at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:29) at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:34) at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:36) at $iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:38) at $iwC$$iwC$$iwC$$iwC.<init>(<console>:40) at $iwC$$iwC$$iwC.<init>(<console>:42) at $iwC$$iwC.<init>(<console>:44) at $iwC.<init>(<console>:46) at <init>(<console>:48) at .<init>(<console>:52) at .<clinit>(<console>) at .<init>(<console>:7) at .<clinit>(<console>) at $print(<console>) at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57) at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) at java.lang.reflect.Method.invoke(Method.java:606) at org.apache.spark.repl.SparkIMain$ReadEvalPrint.call(SparkIMain.scala:1065) at org.apache.spark.repl.SparkIMain$Request.loadAndRun(SparkIMain.scala:1340) at org.apache.spark.repl.SparkIMain.loadAndRunReq$1(SparkIMain.scala:840) at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:871) at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:819) at org.apache.zeppelin.spark.SparkInterpreter.interpretInput(SparkInterpreter.java:655) at org.apache.zeppelin.spark.SparkInterpreter.interpret(SparkInterpreter.java:620) at org.apache.zeppelin.spark.SparkInterpreter.interpret(SparkInterpreter.java:613) at org.apache.zeppelin.interpreter.ClassloaderInterpreter.interpret(ClassloaderInterpreter.java:57) at org.apache.zeppelin.interpreter.LazyOpenInterpreter.interpret(LazyOpenInterpreter.java:93) at org.apache.zeppelin.interpreter.remote.RemoteInterpreterServer$InterpretJob.jobRun(RemoteInterpreterServer.java:276) at org.apache.zeppelin.scheduler.Job.run(Job.java:170) at org.apache.zeppelin.scheduler.FIFOScheduler$1.run(FIFOScheduler.java:118) at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:471) at java.util.concurrent.FutureTask.run(FutureTask.java:262) at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.access$201(ScheduledThreadPoolExecutor.java:178) at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.run(ScheduledThreadPoolExecutor.java:292) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615) at java.lang.Thread.run(Thread.java:745) -- This message was sent by Atlassian JIRA (v6.3.4#6332)