[jira] [Created] (HIVE-15502) CTAS on S3 is broken with credentials exception

["Sahil Takiar (JIRA)" <ji...@apache.org>]

Sahil Takiar created HIVE-15502:
-----------------------------------

             Summary: CTAS on S3 is broken with credentials exception
                 Key: HIVE-15502
                 URL: https://issues.apache.org/jira/browse/HIVE-15502
             Project: Hive
          Issue Type: Bug
          Components: Hive
            Reporter: Sahil Takiar
            Assignee: Sahil Takiar


Simple CTAS queries that read from S3, and write to the local fs throw the following exception:

{code}
com.amazonaws.AmazonClientException: Unable to load AWS credentials from any provider in the chain
	at com.amazonaws.auth.AWSCredentialsProviderChain.getCredentials(AWSCredentialsProviderChain.java:117)
	at com.amazonaws.services.s3.AmazonS3Client.invoke(AmazonS3Client.java:3521)
	at com.amazonaws.services.s3.AmazonS3Client.headBucket(AmazonS3Client.java:1031)
	at com.amazonaws.services.s3.AmazonS3Client.doesBucketExist(AmazonS3Client.java:994)
	at org.apache.hadoop.fs.s3a.S3AFileSystem.initialize(S3AFileSystem.java:297)
	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.hadoop.hive.ql.exec.Utilities.isEmptyPath(Utilities.java:2308)
	at org.apache.hadoop.hive.ql.exec.Utilities.isEmptyPath(Utilities.java:2304)
	at org.apache.hadoop.hive.ql.exec.Utilities.getInputPaths(Utilities.java:3013)
	at org.apache.hadoop.hive.ql.exec.mr.ExecDriver.execute(ExecDriver.java:342)
	at org.apache.hadoop.hive.ql.exec.mr.MapRedTask.execute(MapRedTask.java:151)
	at org.apache.hadoop.hive.ql.exec.Task.executeTask(Task.java:199)
	at org.apache.hadoop.hive.ql.exec.TaskRunner.runSequential(TaskRunner.java:100)
	at org.apache.hadoop.hive.ql.Driver.launchTask(Driver.java:2168)
	at org.apache.hadoop.hive.ql.Driver.execute(Driver.java:1824)
	at org.apache.hadoop.hive.ql.Driver.runInternal(Driver.java:1511)
	at org.apache.hadoop.hive.ql.Driver.run(Driver.java:1222)
	at org.apache.hadoop.hive.ql.Driver.run(Driver.java:1212)
	at org.apache.hadoop.hive.cli.CliDriver.processLocalCmd(CliDriver.java:233)
	at org.apache.hadoop.hive.cli.CliDriver.processCmd(CliDriver.java:184)
	at org.apache.hadoop.hive.cli.CliDriver.processLine(CliDriver.java:400)
	at org.apache.hadoop.hive.cli.CliDriver.executeDriver(CliDriver.java:777)
	at org.apache.hadoop.hive.cli.CliDriver.run(CliDriver.java:715)
	at org.apache.hadoop.hive.cli.CliDriver.main(CliDriver.java:642)
	at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
	at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
	at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
	at java.lang.reflect.Method.invoke(Method.java:498)
	at org.apache.hadoop.util.RunJar.run(RunJar.java:221)
	at org.apache.hadoop.util.RunJar.main(RunJar.java:136)
Job Submission failed with exception 'com.amazonaws.AmazonClientException(Unable to load AWS credentials from any provider in the chain)'
{code}

Seems to only happen when trying to connect to S3 from map tasks. My {{hive-site.xml}} has the following entries:

{code}
<configuration>
  <property>
    <name>mapreduce.framework.name</name>
    <value>local</value>
  </property>
  <property>
    <name>mapred.job.tracker</name>
    <value>local</value>
  </property>
  <property>
    <name>fs.default.name</name>
    <value>file:///</value>
  </property>
  <property>
    <name>fs.s3a.access.key</name>
    <value>[ACCESS-KEY]</value>
  </property>
  <property>
    <name>fs.s3a.secret.key</name>
    <value>[SECRET-KEY]</value>
  </property>
</configuration>
{code}

I've also noticed that now I need to copy the AWS S3 SDK jars into the lib folder before running Hive locally.



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