"java.lang.ArithmeticException: Non-terminating decimal expansion; no exact representable decimal result." while running "hadoop jar hadoop-0.20.1+169.89-examples.jar pi 4 30" -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
Key: HADOOP-6831 URL: https://issues.apache.org/jira/browse/HADOOP-6831 Project: Hadoop Common Issue Type: Bug Components: util Affects Versions: 0.20.1 Environment: ubuntu 10.04 lucid sun jdk 6 hadoop packaged by cloudera Reporter: Victor Pakhomov Fix For: 0.20.1 If I run "hadoop jar hadoop-0.20.1+169.89-examples.jar pi 4 30", I get the following output: Number of Maps = 4 Samples per Map = 30 Wrote input for Map #0 Wrote input for Map #1 Wrote input for Map #2 Wrote input for Map #3 Starting Job 10/06/19 21:50:34 INFO mapred.FileInputFormat: Total input paths to process : 4 10/06/19 21:50:34 INFO mapred.JobClient: Running job: job_201006192101_0003 10/06/19 21:50:35 INFO mapred.JobClient: map 0% reduce 0% 10/06/19 21:50:45 INFO mapred.JobClient: map 50% reduce 0% 10/06/19 21:50:51 INFO mapred.JobClient: map 100% reduce 0% 10/06/19 21:51:00 INFO mapred.JobClient: map 100% reduce 100% 10/06/19 21:51:02 INFO mapred.JobClient: Job complete: job_201006192101_0003 10/06/19 21:51:02 INFO mapred.JobClient: Counters: 18 10/06/19 21:51:02 INFO mapred.JobClient: Job Counters 10/06/19 21:51:02 INFO mapred.JobClient: Launched reduce tasks=1 10/06/19 21:51:02 INFO mapred.JobClient: Launched map tasks=4 10/06/19 21:51:02 INFO mapred.JobClient: Data-local map tasks=4 10/06/19 21:51:02 INFO mapred.JobClient: FileSystemCounters 10/06/19 21:51:02 INFO mapred.JobClient: FILE_BYTES_READ=94 10/06/19 21:51:02 INFO mapred.JobClient: HDFS_BYTES_READ=472 10/06/19 21:51:02 INFO mapred.JobClient: FILE_BYTES_WRITTEN=334 10/06/19 21:51:02 INFO mapred.JobClient: HDFS_BYTES_WRITTEN=215 10/06/19 21:51:02 INFO mapred.JobClient: Map-Reduce Framework 10/06/19 21:51:02 INFO mapred.JobClient: Reduce input groups=8 10/06/19 21:51:02 INFO mapred.JobClient: Combine output records=0 10/06/19 21:51:02 INFO mapred.JobClient: Map input records=4 10/06/19 21:51:02 INFO mapred.JobClient: Reduce shuffle bytes=112 10/06/19 21:51:02 INFO mapred.JobClient: Reduce output records=0 10/06/19 21:51:02 INFO mapred.JobClient: Spilled Records=16 10/06/19 21:51:02 INFO mapred.JobClient: Map output bytes=72 10/06/19 21:51:02 INFO mapred.JobClient: Map input bytes=96 10/06/19 21:51:02 INFO mapred.JobClient: Combine input records=0 10/06/19 21:51:02 INFO mapred.JobClient: Map output records=8 10/06/19 21:51:02 INFO mapred.JobClient: Reduce input records=8 Job Finished in 28.593 seconds java.lang.ArithmeticException: Non-terminating decimal expansion; no exact representable decimal result. at java.math.BigDecimal.divide(BigDecimal.java:1603) at org.apache.hadoop.examples.PiEstimator.estimate(PiEstimator.java:313) at org.apache.hadoop.examples.PiEstimator.run(PiEstimator.java:342) at org.apache.hadoop.util.ToolRunner.run(ToolRunner.java:65) at org.apache.hadoop.examples.PiEstimator.main(PiEstimator.java:351) at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:39) at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:25) at java.lang.reflect.Method.invoke(Method.java:597) at org.apache.hadoop.util.ProgramDriver$ProgramDescription.invoke(ProgramDriver.java:68) at org.apache.hadoop.util.ProgramDriver.driver(ProgramDriver.java:139) at org.apache.hadoop.examples.ExampleDriver.main(ExampleDriver.java:64) at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:39) at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:25) at java.lang.reflect.Method.invoke(Method.java:597) at org.apache.hadoop.util.RunJar.main(RunJar.java:156) "hadoop jar hadoop-0.20.1+169.89-examples.jar pi 2 10" finishes fine -- This message is automatically generated by JIRA. - You can reply to this email to add a comment to the issue online.