Common problems working with S3 are
Troubleshooting IAM Assumed Roles is covered in its specific documentation.
Classpath is usually the first problem. For the S3A filesystem client, you need the Hadoop-specific filesystem clients, the very same AWS SDK library which Hadoop was built against, and any dependent libraries compatible with Hadoop and the specific JVM.
The classpath must be set up for the process talking to S3: if this is code running in the Hadoop cluster, the JARs must be on that classpath. That includes distcp and the hadoop fs command.
Critical: Do not attempt to “drop in” a newer version of the AWS SDK than that which the Hadoop version was built with Whatever problem you have, changing the AWS SDK version will not fix things, only change the stack traces you see.
Similarly, don’t try and mix a hadoop-aws JAR from one Hadoop release with that of any other. The JAR must be in sync with hadoop-common and some other Hadoop JARs.
Randomly changing hadoop- and aws- JARs in the hope of making a problem “go away” or to gain access to a feature you want, will not lead to the outcome you desire.
Tip: you can use mvnrepository to determine the dependency version requirements of a specific hadoop-aws JAR published by the ASF.
These are Hadoop filesystem client classes, found in the hadoop-aws JAR. An exception reporting this class as missing means that this JAR is not on the classpath.
(or other com.amazonaws class.)
This means that the aws-java-sdk-bundle.jar JAR is not on the classpath: add it.
This can be triggered by incompatibilities between the AWS SDK on the classpath and the version which Hadoop was compiled with.
The AWS SDK JARs change their signature enough between releases that the only way to safely update the AWS SDK version is to recompile Hadoop against the later version.
The sole fix is to use the same version of the AWS SDK with which Hadoop was built.
This can also be caused by having more than one version of an AWS SDK JAR on the classpath. If the full aws-java-sdk-bundle< JAR is on the classpath, do not add any of the aws-sdk- JARs.
If Hadoop cannot authenticate with the S3 service endpoint, the client retries a number of times before eventually failing. When it finally gives up, it will report a message about signature mismatch:
com.amazonaws.services.s3.model.AmazonS3Exception: The request signature we calculated does not match the signature you provided. Check your key and signing method. (Service: Amazon S3; Status Code: 403; Error Code: SignatureDoesNotMatch,
The likely cause is that you either have the wrong credentials or somehow the credentials were not readable on the host attempting to read or write the S3 Bucket.
Enabling debug logging for the package org.apache.hadoop.fs.s3a can help provide more information.
The most common cause is that you have the wrong credentials for any of the current authentication mechanism(s) —or somehow the credentials were not readable on the host attempting to read or write the S3 Bucket. However, there are a couple of system configuration problems (JVM version, system clock) which also need to be checked.
Most common: there’s an error in the configuration properties.
Make sure that the name of the bucket is the correct one. That is: check the URL.
If using a private S3 server, make sure endpoint in fs.s3a.endpoint has been set to this server -and that the client is not accidentally trying to authenticate with the public Amazon S3 service.
Make sure the property names are correct. For S3A, they are fs.s3a.access.key and fs.s3a.secret.key —you cannot just copy the S3N properties and replace s3n with s3a.
Make sure the properties are visible to the process attempting to talk to the object store. Placing them in core-site.xml is the standard mechanism.
If using session authentication, the session may have expired. Generate a new session token and secret.
If using environment variable-based authentication, make sure that the relevant variables are set in the environment in which the process is running.
The standard first step is: try to use the AWS command line tools with the same credentials, through a command such as:
hadoop fs -ls s3a://my-bucket/
Note the trailing “/” here; without that the shell thinks you are trying to list your home directory under the bucket, which will only exist if explicitly created.
Attempting to list a bucket using inline credentials is a means of verifying that the key and secret can access a bucket;
hadoop fs -ls s3a://key:secret@my-bucket/
Do escape any + or / symbols in the secret, as discussed below, and never share the URL, logs generated using it, or use such an inline authentication mechanism in production.
Finally, if you set the environment variables, you can take advantage of S3A’s support of environment-variable authentication by attempting the same ls operation. That is: unset the fs.s3a secrets and rely on the environment variables.
The timestamp is used in signing to S3, so as to defend against replay attacks. If the system clock is too far behind or ahead of Amazon’s, requests will be rejected.
This can surface as the situation where read requests are allowed, but operations which write to the bucket are denied.
Check the system clock.
If using the (strongly discouraged) mechanism of including the AWS Key and secret in a URL, then both “+” and “/” symbols need to encoded in the URL. As many AWS secrets include these characters, encoding problems are not uncommon.
| symbol | encoded value |
|---|---|
| + | %2B |
| / | %2F |
As an example, a URL for bucket with AWS ID user1 and secret a+b/c would be represented as
s3a://user1:a%2Bb%2Fc@bucket/
This technique is only needed when placing secrets in the URL. Again, this is something users are strongly advised against using.
S3 Frankfurt and Seoul only support the V4 authentication API.
Requests using the V2 API will be rejected with 400 Bad Request
$ bin/hadoop fs -ls s3a://frankfurt/
WARN s3a.S3AFileSystem: Client: Amazon S3 error 400: 400 Bad Request; Bad Request (retryable)
com.amazonaws.services.s3.model.AmazonS3Exception: Bad Request (Service: Amazon S3;
Status Code: 400; Error Code: 400 Bad Request; Request ID: 923C5D9E75E44C06),
S3 Extended Request ID: HDwje6k+ANEeDsM6aJ8+D5gUmNAMguOk2BvZ8PH3g9z0gpH+IuwT7N19oQOnIr5CIx7Vqb/uThE=
at com.amazonaws.http.AmazonHttpClient.handleErrorResponse(AmazonHttpClient.java:1182)
at com.amazonaws.http.AmazonHttpClient.executeOneRequest(AmazonHttpClient.java:770)
at com.amazonaws.http.AmazonHttpClient.executeHelper(AmazonHttpClient.java:489)
at com.amazonaws.http.AmazonHttpClient.execute(AmazonHttpClient.java:310)
at com.amazonaws.services.s3.AmazonS3Client.invoke(AmazonS3Client.java:3785)
at com.amazonaws.services.s3.AmazonS3Client.headBucket(AmazonS3Client.java:1107)
at com.amazonaws.services.s3.AmazonS3Client.doesBucketExist(AmazonS3Client.java:1070)
at org.apache.hadoop.fs.s3a.S3AFileSystem.verifyBucketExists(S3AFileSystem.java:307)
at org.apache.hadoop.fs.s3a.S3AFileSystem.initialize(S3AFileSystem.java:284)
at org.apache.hadoop.fs.FileSystem.createFileSystem(FileSystem.java:2793)
at org.apache.hadoop.fs.FileSystem.access$200(FileSystem.java:101)
at org.apache.hadoop.fs.FileSystem$Cache.getInternal(FileSystem.java:2830)
at org.apache.hadoop.fs.FileSystem$Cache.get(FileSystem.java:2812)
at org.apache.hadoop.fs.FileSystem.get(FileSystem.java:389)
at org.apache.hadoop.fs.Path.getFileSystem(Path.java:356)
at org.apache.hadoop.fs.shell.PathData.expandAsGlob(PathData.java:325)
at org.apache.hadoop.fs.shell.Command.expandArgument(Command.java:235)
at org.apache.hadoop.fs.shell.Command.expandArguments(Command.java:218)
at org.apache.hadoop.fs.shell.FsCommand.processRawArguments(FsCommand.java:103)
at org.apache.hadoop.fs.shell.Command.run(Command.java:165)
at org.apache.hadoop.fs.FsShell.run(FsShell.java:315)
at org.apache.hadoop.util.ToolRunner.run(ToolRunner.java:76)
at org.apache.hadoop.util.ToolRunner.run(ToolRunner.java:90)
at org.apache.hadoop.fs.FsShell.main(FsShell.java:373)
ls: doesBucketExist on frankfurt-new: com.amazonaws.services.s3.model.AmazonS3Exception:
Bad Request (Service: Amazon S3; Status Code: 400; Error Code: 400 Bad Request;
This happens when trying to work with any S3 service which only supports the “V4” signing API —but the client is configured to use the default S3 service endpoint.
The S3A client needs to be given the endpoint to use via the fs.s3a.endpoint property.
As an example, the endpoint for S3 Frankfurt is s3.eu-central-1.amazonaws.com:
<property> <name>fs.s3a.endpoint</name> <value>s3.eu-central-1.amazonaws.com</value> </property>
The value of fs.s3a.access.key does not match a known access key ID. It may be mistyped, or the access key may have been deleted by one of the account managers.
java.nio.file.AccessDeniedException: bucket: doesBucketExist on bucket:
com.amazonaws.services.s3.model.AmazonS3Exception:
The AWS Access Key Id you provided does not exist in our records.
(Service: Amazon S3; Status Code: 403; Error Code: InvalidAccessKeyId;
at org.apache.hadoop.fs.s3a.S3AUtils.translateException(S3AUtils.java:214)
at org.apache.hadoop.fs.s3a.Invoker.once(Invoker.java:111)
at org.apache.hadoop.fs.s3a.Invoker.lambda$retry$3(Invoker.java:260)
at org.apache.hadoop.fs.s3a.Invoker.retryUntranslated(Invoker.java:314)
at org.apache.hadoop.fs.s3a.Invoker.retry(Invoker.java:256)
at org.apache.hadoop.fs.s3a.Invoker.retry(Invoker.java:231)
at org.apache.hadoop.fs.s3a.S3AFileSystem.verifyBucketExists(S3AFileSystem.java:366)
at org.apache.hadoop.fs.s3a.S3AFileSystem.initialize(S3AFileSystem.java:302)
at org.apache.hadoop.fs.FileSystem.createFileSystem(FileSystem.java:3354)
at org.apache.hadoop.fs.FileSystem.access$200(FileSystem.java:124)
at org.apache.hadoop.fs.FileSystem$Cache.getInternal(FileSystem.java:3403)
at org.apache.hadoop.fs.FileSystem$Cache.get(FileSystem.java:3371)
at org.apache.hadoop.fs.FileSystem.get(FileSystem.java:477)
at org.apache.hadoop.fs.contract.AbstractBondedFSContract.init(AbstractBondedFSContract.java:72)
at org.apache.hadoop.fs.contract.AbstractFSContractTestBase.setup(AbstractFSContractTestBase.java:177)
at org.apache.hadoop.fs.s3a.commit.AbstractCommitITest.setup(AbstractCommitITest.java:163)
at org.apache.hadoop.fs.s3a.commit.AbstractITCommitMRJob.setup(AbstractITCommitMRJob.java:129)
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.junit.runners.model.FrameworkMethod$1.runReflectiveCall(FrameworkMethod.java:47)
at org.junit.internal.runners.model.ReflectiveCallable.run(ReflectiveCallable.java:12)
at org.junit.runners.model.FrameworkMethod.invokeExplosively(FrameworkMethod.java:44)
at org.junit.internal.runners.statements.RunBefores.evaluate(RunBefores.java:24)
at org.junit.internal.runners.statements.RunAfters.evaluate(RunAfters.java:27)
at org.junit.rules.ExternalResource$1.evaluate(ExternalResource.java:48)
at org.junit.rules.TestWatcher$1.evaluate(TestWatcher.java:55)
at org.junit.internal.runners.statements.FailOnTimeout$StatementThread.run(FailOnTimeout.java:74)
Caused by: com.amazonaws.services.s3.model.AmazonS3Exception:
The AWS Access Key Id you provided does not exist in our records.
(Service: Amazon S3; Status Code: 403; Error Code: InvalidAccessKeyId;
at com.amazonaws.http.AmazonHttpClient$RequestExecutor.handleErrorResponse(AmazonHttpClient.java:1638)
at com.amazonaws.http.AmazonHttpClient$RequestExecutor.executeOneRequest(AmazonHttpClient.java:1303)
at com.amazonaws.http.AmazonHttpClient$RequestExecutor.executeHelper(AmazonHttpClient.java:1055)
at com.amazonaws.http.AmazonHttpClient$RequestExecutor.doExecute(AmazonHttpClient.java:743)
at com.amazonaws.http.AmazonHttpClient$RequestExecutor.executeWithTimer(AmazonHttpClient.java:717)
at com.amazonaws.http.AmazonHttpClient$RequestExecutor.execute(AmazonHttpClient.java:699)
at com.amazonaws.http.AmazonHttpClient$RequestExecutor.access$500(AmazonHttpClient.java:667)
at com.amazonaws.http.AmazonHttpClient$RequestExecutionBuilderImpl.execute(AmazonHttpClient.java:649)
at com.amazonaws.http.AmazonHttpClient.execute(AmazonHttpClient.java:513)
at com.amazonaws.services.s3.AmazonS3Client.invoke(AmazonS3Client.java:4229)
at com.amazonaws.services.s3.AmazonS3Client.invoke(AmazonS3Client.java:4176)
at com.amazonaws.services.s3.AmazonS3Client.getAcl(AmazonS3Client.java:3381)
at com.amazonaws.services.s3.AmazonS3Client.getBucketAcl(AmazonS3Client.java:1160)
at com.amazonaws.services.s3.AmazonS3Client.getBucketAcl(AmazonS3Client.java:1150)
at com.amazonaws.services.s3.AmazonS3Client.doesBucketExist(AmazonS3Client.java:1266)
at org.apache.hadoop.fs.s3a.S3AFileSystem.lambda$verifyBucketExists$1(S3AFileSystem.java:367)
at org.apache.hadoop.fs.s3a.Invoker.once(Invoker.java:109)
... 27 more
Caller has no permission to access the bucket at all.
doesBucketExist on fdsd: java.nio.file.AccessDeniedException: fdsd: doesBucketExist on fdsd: com.amazonaws.services.s3.model.AmazonS3Exception: All access to this object has been disabled (Service: Amazon S3; Status Code: 403; Error Code: AllAccessDisabled; Request ID: E6229D7F8134E64F; S3 Extended Request ID: 6SzVz2t4qa8J2Wxo/oc8yBuB13Mgrn9uMKnxVY0hsBd2kU/YdHzW1IaujpJdDXRDCQRX3f1RYn0=), S3 Extended Request ID: 6SzVz2t4qa8J2Wxo/oc8yBuB13Mgrn9uMKnxVY0hsBd2kU/YdHzW1IaujpJdDXRDCQRX3f1RYn0=:AllAccessDisabled All access to this object has been disabled (Service: Amazon S3; Status Code: 403; at org.apache.hadoop.fs.s3a.S3AUtils.translateException(S3AUtils.java:205) at org.apache.hadoop.fs.s3a.S3ALambda.once(S3ALambda.java:122) at org.apache.hadoop.fs.s3a.S3ALambda.lambda$retry$2(S3ALambda.java:233) at org.apache.hadoop.fs.s3a.S3ALambda.retryUntranslated(S3ALambda.java:288) at org.apache.hadoop.fs.s3a.S3ALambda.retry(S3ALambda.java:228) at org.apache.hadoop.fs.s3a.S3ALambda.retry(S3ALambda.java:203) at org.apache.hadoop.fs.s3a.S3AFileSystem.verifyBucketExists(S3AFileSystem.java:357) at org.apache.hadoop.fs.s3a.S3AFileSystem.initialize(S3AFileSystem.java:293) at org.apache.hadoop.fs.FileSystem.createFileSystem(FileSystem.java:3288) at org.apache.hadoop.fs.FileSystem.access$200(FileSystem.java:123) at org.apache.hadoop.fs.FileSystem$Cache.getInternal(FileSystem.java:3337) at org.apache.hadoop.fs.FileSystem$Cache.getUnique(FileSystem.java:3311) at org.apache.hadoop.fs.FileSystem.newInstance(FileSystem.java:529) at org.apache.hadoop.fs.s3a.s3guard.S3GuardTool$BucketInfo.run(S3GuardTool.java:997) at org.apache.hadoop.fs.s3a.s3guard.S3GuardTool.run(S3GuardTool.java:309) at org.apache.hadoop.util.ToolRunner.run(ToolRunner.java:76) at org.apache.hadoop.fs.s3a.s3guard.S3GuardTool.run(S3GuardTool.java:1218) at org.apache.hadoop.fs.s3a.s3guard.S3GuardTool.main(S3GuardTool.java:1227) Caused by: com.amazonaws.services.s3.model.AmazonS3Exception: All access to this object has been disabled at com.amazonaws.http.AmazonHttpClient$RequestExecutor.handleErrorResponse(AmazonHttpClient.java:1638) at com.amazonaws.http.AmazonHttpClient$RequestExecutor.executeOneRequest(AmazonHttpClient.java:1303) at com.amazonaws.http.AmazonHttpClient$RequestExecutor.executeHelper(AmazonHttpClient.java:1055) at com.amazonaws.http.AmazonHttpClient$RequestExecutor.doExecute(AmazonHttpClient.java:743) at com.amazonaws.http.AmazonHttpClient$RequestExecutor.executeWithTimer(AmazonHttpClient.java:717) at com.amazonaws.http.AmazonHttpClient$RequestExecutor.execute(AmazonHttpClient.java:699) at com.amazonaws.http.AmazonHttpClient$RequestExecutor.access$500(AmazonHttpClient.java:667) at com.amazonaws.http.AmazonHttpClient$RequestExecutionBuilderImpl.execute(AmazonHttpClient.java:649) at com.amazonaws.http.AmazonHttpClient.execute(AmazonHttpClient.java:513) at com.amazonaws.services.s3.AmazonS3Client.invoke(AmazonS3Client.java:4229) at com.amazonaws.services.s3.AmazonS3Client.invoke(AmazonS3Client.java:4176) at com.amazonaws.services.s3.AmazonS3Client.getAcl(AmazonS3Client.java:3381) at com.amazonaws.services.s3.AmazonS3Client.getBucketAcl(AmazonS3Client.java:1160) at com.amazonaws.services.s3.AmazonS3Client.getBucketAcl(AmazonS3Client.java:1150) at com.amazonaws.services.s3.AmazonS3Client.doesBucketExist(AmazonS3Client.java:1266) at org.apache.hadoop.fs.s3a.S3AFileSystem.lambda$verifyBucketExists$1(S3AFileSystem.java:360) at org.apache.hadoop.fs.s3a.S3ALambda.once(S3ALambda.java:120)
Check the name of the bucket is correct, and validate permissions for the active user/role.
Data can be read, but attempts to write data or manipulate the store fail with 403/Access denied.
The bucket may have an access policy which the request does not comply with. or the caller does not have the right to access the data.
java.nio.file.AccessDeniedException: test/: PUT 0-byte object on test/: com.amazonaws.services.s3.model.AmazonS3Exception: Access Denied (Service: Amazon S3; Status Code: 403; Error Code: AccessDenied; Request ID: EDC662AD2EEEA33C; at org.apache.hadoop.fs.s3a.S3AUtils.translateException(S3AUtils.java:210) at org.apache.hadoop.fs.s3a.Invoker.once(Invoker.java:110) at org.apache.hadoop.fs.s3a.Invoker.lambda$retry$3(Invoker.java:259) at org.apache.hadoop.fs.s3a.Invoker.retryUntranslated(Invoker.java:313) at org.apache.hadoop.fs.s3a.Invoker.retry(Invoker.java:255) at org.apache.hadoop.fs.s3a.Invoker.retry(Invoker.java:230) at org.apache.hadoop.fs.s3a.S3AFileSystem.createEmptyObject(S3AFileSystem.java:2691) at org.apache.hadoop.fs.s3a.S3AFileSystem.createFakeDirectory(S3AFileSystem.java:2666) at org.apache.hadoop.fs.s3a.S3AFileSystem.innerMkdirs(S3AFileSystem.java:2030) at org.apache.hadoop.fs.s3a.S3AFileSystem.mkdirs(S3AFileSystem.java:1965) at org.apache.hadoop.fs.FileSystem.mkdirs(FileSystem.java:2305)
In the AWS S3 management console, select the “permissions” tab for the bucket, then “bucket policy”.
If there is a bucket access policy, e.g. required encryption headers, then the settings of the s3a client must guarantee the relevant headers are set (e.g. the encryption options match). Note: S3 Default Encryption options are not considered here: if the bucket policy requires AES256 as the encryption policy on PUT requests, then the encryption option must be set in the hadoop client so that the header is set.
Otherwise, the problem will likely be that the user does not have full access to the operation. Check what they were trying to (read vs write) and then look at the permissions of the user/role.
If the client using assumed roles, and a policy is set in fs.s3a.assumed.role.policy, then that policy declares all the rights which the caller has.
This surfaces when fs.s3a.endpoint is configured to use an S3 service endpoint which is neither the original AWS one, s3.amazonaws.com , nor the one where the bucket is hosted. The error message contains the redirect target returned by S3, which can be used to determine the correct value for fs.s3a.endpoint.
org.apache.hadoop.fs.s3a.AWSS3IOException: Received permanent redirect response
to bucket.s3-us-west-2.amazonaws.com. This likely indicates that the S3
endpoint configured in fs.s3a.endpoint does not match the AWS region
containing the bucket.: The bucket you are attempting to access must be
addressed using the specified endpoint. Please send all future requests to
this endpoint. (Service: Amazon S3; Status Code: 301;
Error Code: PermanentRedirect; Request ID: 7D39EC1021C61B11)
at org.apache.hadoop.fs.s3a.S3AUtils.translateException(S3AUtils.java:132)
at org.apache.hadoop.fs.s3a.S3AFileSystem.initMultipartUploads(S3AFileSystem.java:287)
at org.apache.hadoop.fs.s3a.S3AFileSystem.initialize(S3AFileSystem.java:203)
at org.apache.hadoop.fs.FileSystem.createFileSystem(FileSystem.java:2895)
at org.apache.hadoop.fs.FileSystem.access$200(FileSystem.java:102)
at org.apache.hadoop.fs.FileSystem$Cache.getInternal(FileSystem.java:2932)
at org.apache.hadoop.fs.FileSystem$Cache.get(FileSystem.java:2914)
at org.apache.hadoop.fs.FileSystem.get(FileSystem.java:390)
<property> <name>fs.s3a.endpoint</name> <value>s3.amazonaws.com</value> </property>
Using the explicit endpoint for the region is recommended for speed and to use the V4 signing API.
This happens when using the output stream thread pool runs out of capacity.
[s3a-transfer-shared-pool1-t20] INFO http.AmazonHttpClient (AmazonHttpClient.java:executeHelper(496)) - Unable to execute HTTP request: Timeout waiting for connection from poolorg.apache.http.conn.ConnectionPoolTimeoutException: Timeout waiting for connection from pool at org.apache.http.impl.conn.PoolingClientConnectionManager.leaseConnection(PoolingClientConnectionManager.java:230) at org.apache.http.impl.conn.PoolingClientConnectionManager$1.getConnection(PoolingClientConnectionManager.java:199) at sun.reflect.GeneratedMethodAccessor13.invoke(Unknown Source) at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) at java.lang.reflect.Method.invoke(Method.java:498) at com.amazonaws.http.conn.ClientConnectionRequestFactory$Handler.invoke(ClientConnectionRequestFactory.java:70) at com.amazonaws.http.conn.$Proxy10.getConnection(Unknown Source) at org.apache.http.impl.client.DefaultRequestDirector.execute(DefaultRequestDirector.java:424) at org.apache.http.impl.client.AbstractHttpClient.doExecute(AbstractHttpClient.java:884) at org.apache.http.impl.client.CloseableHttpClient.execute(CloseableHttpClient.java:82) at org.apache.http.impl.client.CloseableHttpClient.execute(CloseableHttpClient.java:55) at com.amazonaws.http.AmazonHttpClient.executeOneRequest(AmazonHttpClient.java:728) at com.amazonaws.http.AmazonHttpClient.executeHelper(AmazonHttpClient.java:489) at com.amazonaws.http.AmazonHttpClient.execute(AmazonHttpClient.java:310) at com.amazonaws.services.s3.AmazonS3Client.invoke(AmazonS3Client.java:3785) at com.amazonaws.services.s3.AmazonS3Client.doUploadPart(AmazonS3Client.java:2921) at com.amazonaws.services.s3.AmazonS3Client.uploadPart(AmazonS3Client.java:2906) at org.apache.hadoop.fs.s3a.S3AFileSystem.uploadPart(S3AFileSystem.java:1025) at org.apache.hadoop.fs.s3a.S3ABlockOutputStream$MultiPartUpload$1.call(S3ABlockOutputStream.java:360) at org.apache.hadoop.fs.s3a.S3ABlockOutputStream$MultiPartUpload$1.call(S3ABlockOutputStream.java:355) at org.apache.hadoop.fs.s3a.BlockingThreadPoolExecutorService$CallableWithPermitRelease.call(BlockingThreadPoolExecutorService.java:239) at java.util.concurrent.FutureTask.run(FutureTask.java:266) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617) at java.lang.Thread.run(Thread.java:745)
Make sure that fs.s3a.connection.maximum is at least larger than fs.s3a.threads.max.
<property> <name>fs.s3a.threads.max</name> <value>20</value> </property> <property> <name>fs.s3a.connection.maximum</name> <value>30</value> </property>
This happens when more threads are trying to read from an S3A system than the maximum number of allocated HTTP connections.
Set fs.s3a.connection.maximum to a larger value (and at least as large as fs.s3a.threads.max)
The HTTP Server did not respond.
2017-02-07 10:01:07,950 INFO [s3a-transfer-shared-pool1-t7] com.amazonaws.http.AmazonHttpClient: Unable to execute HTTP request: bucket.s3.amazonaws.com:443 failed to respond org.apache.http.NoHttpResponseException: bucket.s3.amazonaws.com:443 failed to respond at org.apache.http.impl.conn.DefaultHttpResponseParser.parseHead(DefaultHttpResponseParser.java:143) at org.apache.http.impl.conn.DefaultHttpResponseParser.parseHead(DefaultHttpResponseParser.java:57) at org.apache.http.impl.io.AbstractMessageParser.parse(AbstractMessageParser.java:261) at org.apache.http.impl.AbstractHttpClientConnection.receiveResponseHeader(AbstractHttpClientConnection.java:283) at org.apache.http.impl.conn.DefaultClientConnection.receiveResponseHeader(DefaultClientConnection.java:259) at org.apache.http.impl.conn.ManagedClientConnectionImpl.receiveResponseHeader(ManagedClientConnectionImpl.java:209) at org.apache.http.protocol.HttpRequestExecutor.doReceiveResponse(HttpRequestExecutor.java:272) at com.amazonaws.http.protocol.SdkHttpRequestExecutor.doReceiveResponse(SdkHttpRequestExecutor.java:66) at org.apache.http.protocol.HttpRequestExecutor.execute(HttpRequestExecutor.java:124) at org.apache.http.impl.client.DefaultRequestDirector.tryExecute(DefaultRequestDirector.java:686) at org.apache.http.impl.client.DefaultRequestDirector.execute(DefaultRequestDirector.java:488) at org.apache.http.impl.client.AbstractHttpClient.doExecute(AbstractHttpClient.java:884) at org.apache.http.impl.client.CloseableHttpClient.execute(CloseableHttpClient.java:82) at org.apache.http.impl.client.CloseableHttpClient.execute(CloseableHttpClient.java:55) at com.amazonaws.http.AmazonHttpClient.executeOneRequest(AmazonHttpClient.java:728) at com.amazonaws.http.AmazonHttpClient.executeHelper(AmazonHttpClient.java:489) at com.amazonaws.http.AmazonHttpClient.execute(AmazonHttpClient.java:310) at com.amazonaws.services.s3.AmazonS3Client.invoke(AmazonS3Client.java:3785) at com.amazonaws.services.s3.AmazonS3Client.copyPart(AmazonS3Client.java:1731) at com.amazonaws.services.s3.transfer.internal.CopyPartCallable.call(CopyPartCallable.java:41) at com.amazonaws.services.s3.transfer.internal.CopyPartCallable.call(CopyPartCallable.java:28) at org.apache.hadoop.fs.s3a.SemaphoredDelegatingExecutor$CallableWithPermitRelease.call(SemaphoredDelegatingExecutor.java:222) at java.util.concurrent.FutureTask.run(FutureTask.java:266) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617) at java.lang.Thread.run(Thread.java:745)
Probably network problems, unless it really is an outage of S3.
This can happen when using the upload buffering mechanism uses memory (either fs.s3a.fast.upload.buffer=array or fs.s3a.fast.upload.buffer=bytebuffer).
More data is being generated than in the JVM than it can upload to S3 —and so much data has been buffered that the JVM has run out of memory.
Consult S3A Fast Upload Thread Tuning for detail on this issue and options to address it.
Switch to buffering to disk, rather than memory.
This surfaces if, while a multipart upload was taking place, all outstanding multipart uploads were garbage collected. The upload operation cannot complete because the data uploaded has been deleted.
Consult Cleaning up After Incremental Upload Failures for details on how the multipart purge timeout can be set. If multipart uploads are failing with the message above, it may be a sign that this value is too low.
Exception in thread "main" com.amazonaws.services.s3.model.MultiObjectDeleteException:
Status Code: 0, AWS Service: null, AWS Request ID: null, AWS Error Code: null,
AWS Error Message: One or more objects could not be deleted, S3 Extended Request ID: null
at com.amazonaws.services.s3.AmazonS3Client.deleteObjects(AmazonS3Client.java:1745)
This happens when trying to delete multiple objects, and one of the objects could not be deleted. It should not occur just because the object is missing. More specifically: at the time this document was written, we could not create such a failure.
It will occur if the caller lacks the permission to delete any of the objects.
Consult the log to see the specifics of which objects could not be deleted. Do you have permission to do so?
If this operation is failing for reasons other than the caller lacking permissions:
org.apache.hadoop.fs.s3a.AWSClientIOException: getFileStatus on test/testname/streaming/:
com.amazonaws.AmazonClientException: Failed to sanitize XML document
destined for handler class com.amazonaws.services.s3.model.transform.XmlResponsesSaxParser$ListBucketHandler:
Failed to sanitize XML document destined for handler class
com.amazonaws.services.s3.model.transform.XmlResponsesSaxParser$ListBucketHandler
at org.apache.hadoop.fs.s3a.S3AUtils.translateException(S3AUtils.java:105)
at org.apache.hadoop.fs.s3a.S3AFileSystem.getFileStatus(S3AFileSystem.java:1462)
at org.apache.hadoop.fs.s3a.S3AFileSystem.innerListStatus(S3AFileSystem.java:1227)
at org.apache.hadoop.fs.s3a.S3AFileSystem.listStatus(S3AFileSystem.java:1203)
at org.apache.hadoop.fs.s3a.S3AGlobber.listStatus(S3AGlobber.java:69)
at org.apache.hadoop.fs.s3a.S3AGlobber.doGlob(S3AGlobber.java:210)
at org.apache.hadoop.fs.s3a.S3AGlobber.glob(S3AGlobber.java:125)
at org.apache.hadoop.fs.s3a.S3AFileSystem.globStatus(S3AFileSystem.java:1853)
at org.apache.hadoop.fs.s3a.S3AFileSystem.globStatus(S3AFileSystem.java:1841)
We believe this is caused by the connection to S3 being broken. See HADOOP-13811.
It may go away if the operation is retried.
Something has happened to the data as it was uploaded.
Caused by: org.apache.hadoop.fs.s3a.AWSClientIOException: saving output on dest/_task_tmp.-ext-10000/_tmp.000000_0:
com.amazonaws.AmazonClientException: Unable to verify integrity of data upload.
Client calculated content hash (contentMD5: L75PalQk0CIhTp04MStVOA== in base 64)
didn't match hash (etag: 37ace01f2c383d6b9b3490933c83bb0f in hex) calculated by Amazon S3.
You may need to delete the data stored in Amazon S3.
(metadata.contentMD5: L75PalQk0CIhTp04MStVOA==, md5DigestStream: null,
bucketName: ext2, key: dest/_task_tmp.-ext-10000/_tmp.000000_0):
at org.apache.hadoop.fs.s3a.S3AUtils.translateException(S3AUtils.java:144)
at org.apache.hadoop.fs.s3a.S3AOutputStream.close(S3AOutputStream.java:121)
at org.apache.hadoop.fs.FSDataOutputStream$PositionCache.close(FSDataOutputStream.java:72)
at org.apache.hadoop.fs.FSDataOutputStream.close(FSDataOutputStream.java:106)
at org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat$1.close(HiveIgnoreKeyTextOutputFormat.java:99)
at org.apache.hadoop.hive.ql.exec.FileSinkOperator$FSPaths.closeWriters(FileSinkOperator.java:190)
... 22 more
Caused by: com.amazonaws.AmazonClientException: Unable to verify integrity of data upload.
Client calculated content hash (contentMD5: L75PalQk0CIhTp04MStVOA== in base 64)
didn't match hash (etag: 37ace01f2c383d6b9b3490933c83bb0f in hex) calculated by Amazon S3.
You may need to delete the data stored in Amazon S3.
(metadata.contentMD5: L75PalQk0CIhTp04MStVOA==, md5DigestStream: null,
bucketName: ext2, key: dest/_task_tmp.-ext-10000/_tmp.000000_0)
at com.amazonaws.services.s3.AmazonS3Client.putObject(AmazonS3Client.java:1492)
at com.amazonaws.services.s3.transfer.internal.UploadCallable.uploadInOneChunk(UploadCallable.java:131)
at com.amazonaws.services.s3.transfer.internal.UploadCallable.call(UploadCallable.java:123)
at com.amazonaws.services.s3.transfer.internal.UploadMonitor.call(UploadMonitor.java:139)
at com.amazonaws.services.s3.transfer.internal.UploadMonitor.call(UploadMonitor.java:47)
... 4 more
As it uploads data to S3, the AWS SDK builds up an MD5 checksum of what was PUT/POSTed. When S3 returns the checksum of the uploaded data, that is compared with the local checksum. If there is a mismatch, this error is reported.
The uploaded data is already on S3 and will stay there, though if this happens during a multipart upload, it may not be visible (but still billed: clean up your multipart uploads via the hadoop s3guard uploads command).
Possible causes for this
This is a very, very rare occurrence.
If the problem is a signing one, try changing the signature algorithm.
<property> <name>fs.s3a.signing-algorithm</name> <value>S3SignerType</value> </property>
We cannot make any promises that it will work, only that it has been known to make the problem go away “once”
Reads work, but writes, even mkdir, fail:
org.apache.hadoop.fs.s3a.AWSS3IOException: copyFromLocalFile(file:/tmp/hello.txt, s3a://bucket/hello.txt)
on file:/tmp/hello.txt:
The Content-MD5 you specified did not match what we received.
(Service: Amazon S3; Status Code: 400; Error Code: BadDigest; Request ID: 4018131225),
S3 Extended Request ID: null
at org.apache.hadoop.fs.s3a.S3AUtils.translateException(S3AUtils.java:127)
at org.apache.hadoop.fs.s3a.S3AUtils.translateException(S3AUtils.java:69)
at org.apache.hadoop.fs.s3a.S3AFileSystem.copyFromLocalFile(S3AFileSystem.java:1494)
at org.apache.hadoop.tools.cloudup.Cloudup.uploadOneFile(Cloudup.java:466)
at org.apache.hadoop.tools.cloudup.Cloudup.access$000(Cloudup.java:63)
at org.apache.hadoop.tools.cloudup.Cloudup$1.call(Cloudup.java:353)
at org.apache.hadoop.tools.cloudup.Cloudup$1.call(Cloudup.java:350)
at java.util.concurrent.FutureTask.run(FutureTask.java:266)
at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
at java.util.concurrent.FutureTask.run(FutureTask.java:266)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:748)
Caused by: com.amazonaws.services.s3.model.AmazonS3Exception:
The Content-MD5 you specified did not match what we received.
(Service: Amazon S3; Status Code: 400; Error Code: BadDigest; Request ID: 4018131225),
S3 Extended Request ID: null
at com.amazonaws.http.AmazonHttpClient.handleErrorResponse(AmazonHttpClient.java:1307)
at com.amazonaws.http.AmazonHttpClient.executeOneRequest(AmazonHttpClient.java:894)
at com.amazonaws.http.AmazonHttpClient.executeHelper(AmazonHttpClient.java:597)
at com.amazonaws.http.AmazonHttpClient.doExecute(AmazonHttpClient.java:363)
at com.amazonaws.http.AmazonHttpClient.executeWithTimer(AmazonHttpClient.java:329)
at com.amazonaws.http.AmazonHttpClient.execute(AmazonHttpClient.java:308)
at com.amazonaws.services.s3.AmazonS3Client.invoke(AmazonS3Client.java:3659)
at com.amazonaws.services.s3.AmazonS3Client.putObject(AmazonS3Client.java:1422)
at com.amazonaws.services.s3.transfer.internal.UploadCallable.uploadInOneChunk(UploadCallable.java:131)
at com.amazonaws.services.s3.transfer.internal.UploadCallable.call(UploadCallable.java:123)
at com.amazonaws.services.s3.transfer.internal.UploadMonitor.call(UploadMonitor.java:139)
at com.amazonaws.services.s3.transfer.internal.UploadMonitor.call(UploadMonitor.java:47)
at org.apache.hadoop.fs.s3a.BlockingThreadPoolExecutorService$CallableWithPermitRelease.call(BlockingThreadPoolExecutorService.java:239)
... 4 more
This stack trace was seen when interacting with a third-party S3 store whose expectations of headers related to the AWS V4 signing mechanism was not compatible with that of the specific AWS SDK Hadoop was using.
Workaround: revert to V2 signing.
<property> <name>fs.s3a.signing-algorithm</name> <value>S3SignerType</value> </property>
A multipart upload was trying to complete, but failed as there was no upload with that ID.
java.io.FileNotFoundException: Completing multi-part upload on fork-5/test/multipart/1c397ca6-9dfb-4ac1-9cf7-db666673246b: com.amazonaws.services.s3.model.AmazonS3Exception: The specified upload does not exist. The upload ID may be invalid, or the upload may have been aborted or completed. (Service: Amazon S3; Status Code: 404; Error Code: NoSuchUpload; at com.amazonaws.http.AmazonHttpClient.handleErrorResponse(AmazonHttpClient.java:1182) at com.amazonaws.http.AmazonHttpClient.executeOneRequest(AmazonHttpClient.java:770) at com.amazonaws.http.AmazonHttpClient.executeHelper(AmazonHttpClient.java:489) at com.amazonaws.http.AmazonHttpClient.execute(AmazonHttpClient.java:310) at com.amazonaws.services.s3.AmazonS3Client.invoke(AmazonS3Client.java:3785) at com.amazonaws.services.s3.AmazonS3Client.completeMultipartUpload(AmazonS3Client.java:2705) at org.apache.hadoop.fs.s3a.S3ABlockOutputStream$MultiPartUpload.complete(S3ABlockOutputStream.java:473) at org.apache.hadoop.fs.s3a.S3ABlockOutputStream$MultiPartUpload.access$200(S3ABlockOutputStream.java:382) at org.apache.hadoop.fs.s3a.S3ABlockOutputStream.close(S3ABlockOutputStream.java:272) at org.apache.hadoop.fs.FSDataOutputStream$PositionCache.close(FSDataOutputStream.java:72) at org.apache.hadoop.fs.FSDataOutputStream.close(FSDataOutputStream.java:106)
This can happen when all outstanding uploads have been aborted, including the active ones.
If the bucket has a lifecycle policy of deleting multipart uploads, make sure that the expiry time of the deletion is greater than that required for all open writes to complete the write, and for all jobs using the S3A committers to commit their work.
The pool of https client connections and/or IO threads have been used up, and none are being freed.
[s3a-transfer-shared-pool4-t6] INFO http.AmazonHttpClient (AmazonHttpClient.java:executeHelper(496)) - Unable to execute HTTP request: hwdev-steve-ireland-new.s3.amazonaws.com:443 failed to respond org.apache.http.NoHttpResponseException: bucket.s3.amazonaws.com:443 failed to respond at org.apache.http.impl.conn.DefaultHttpResponseParser.parseHead(DefaultHttpResponseParser.java:143) at org.apache.http.impl.conn.DefaultHttpResponseParser.parseHead(DefaultHttpResponseParser.java:57) at org.apache.http.impl.io.AbstractMessageParser.parse(AbstractMessageParser.java:261) at org.apache.http.impl.AbstractHttpClientConnection.receiveResponseHeader(AbstractHttpClientConnection.java:283) at org.apache.http.impl.conn.DefaultClientConnection.receiveResponseHeader(DefaultClientConnection.java:259) at org.apache.http.impl.conn.ManagedClientConnectionImpl.receiveResponseHeader(ManagedClientConnectionImpl.java:209) at org.apache.http.protocol.HttpRequestExecutor.doReceiveResponse(HttpRequestExecutor.java:272) at com.amazonaws.http.protocol.SdkHttpRequestExecutor.doReceiveResponse(SdkHttpRequestExecutor.java:66) at org.apache.http.protocol.HttpRequestExecutor.execute(HttpRequestExecutor.java:124) at org.apache.http.impl.client.DefaultRequestDirector.tryExecute(DefaultRequestDirector.java:686) at org.apache.http.impl.client.DefaultRequestDirector.execute(DefaultRequestDirector.java:488) at org.apache.http.impl.client.AbstractHttpClient.doExecute(AbstractHttpClient.java:884) at org.apache.http.impl.client.CloseableHttpClient.execute(CloseableHttpClient.java:82) at org.apache.http.impl.client.CloseableHttpClient.execute(CloseableHttpClient.java:55) at com.amazonaws.http.AmazonHttpClient.executeOneRequest(AmazonHttpClient.java:728) at com.amazonaws.http.AmazonHttpClient.executeHelper(AmazonHttpClient.java:489) at com.amazonaws.http.AmazonHttpClient.execute(AmazonHttpClient.java:310) at com.amazonaws.services.s3.AmazonS3Client.invoke(AmazonS3Client.java:3785) at com.amazonaws.services.s3.AmazonS3Client.copyPart(AmazonS3Client.java:1731) at com.amazonaws.services.s3.transfer.internal.CopyPartCallable.call(CopyPartCallable.java:41) at com.amazonaws.services.s3.transfer.internal.CopyPartCallable.call(CopyPartCallable.java:28) at org.apache.hadoop.fs.s3a.BlockingThreadPoolExecutorService$CallableWithPermitRelease.call(BlockingThreadPoolExecutorService.java:239) at java.util.concurrent.FutureTask.run(FutureTask.java:266) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617) at java.lang.Thread.run(Thread.java:745)
These are HTTP I/O exceptions caught and logged inside the AWS SDK. The client will attempt to retry the operation; it may just be a transient event. If there are many such exceptions in logs, it may be a symptom of connectivity or network problems.
Cause: org.apache.hadoop.fs.s3a.AWSBadRequestException: put on :
com.amazonaws.services.s3.model.AmazonS3Exception:
The unspecified location constraint is incompatible for the region specific
endpoint this request was sent to.
(Service: Amazon S3; Status Code: 400; Error Code: IllegalLocationConstraintException;
at org.apache.hadoop.fs.s3a.S3AUtils.translateException(S3AUtils.java:178)
at org.apache.hadoop.fs.s3a.S3ALambda.execute(S3ALambda.java:64)
at org.apache.hadoop.fs.s3a.WriteOperationHelper.uploadObject(WriteOperationHelper.java:451)
at org.apache.hadoop.fs.s3a.commit.magic.MagicCommitTracker.aboutToComplete(MagicCommitTracker.java:128)
at org.apache.hadoop.fs.s3a.S3ABlockOutputStream.close(S3ABlockOutputStream.java:373)
at org.apache.hadoop.fs.FSDataOutputStream$PositionCache.close(FSDataOutputStream.java:72)
at org.apache.hadoop.fs.FSDataOutputStream.close(FSDataOutputStream.java:101)
at org.apache.hadoop.hive.ql.io.orc.WriterImpl.close(WriterImpl.java:2429)
at org.apache.hadoop.hive.ql.io.orc.OrcOutputFormat$OrcRecordWriter.close(OrcOutputFormat.java:106)
at org.apache.hadoop.hive.ql.io.orc.OrcOutputFormat$OrcRecordWriter.close(OrcOutputFormat.java:91)
...
Cause: com.amazonaws.services.s3.model.AmazonS3Exception:
The unspecified location constraint is incompatible for the region specific endpoint
this request was sent to. (Service: Amazon S3; Status Code: 400; Error Code: IllegalLocationConstraintException;
Request ID: EEBC5A08BCB3A645)
at com.amazonaws.http.AmazonHttpClient$RequestExecutor.handleErrorResponse(AmazonHttpClient.java:1588)
at com.amazonaws.http.AmazonHttpClient$RequestExecutor.executeOneRequest(AmazonHttpClient.java:1258)
at com.amazonaws.http.AmazonHttpClient$RequestExecutor.executeHelper(AmazonHttpClient.java:1030)
at com.amazonaws.http.AmazonHttpClient$RequestExecutor.doExecute(AmazonHttpClient.java:742)
at com.amazonaws.http.AmazonHttpClient$RequestExecutor.executeWithTimer(AmazonHttpClient.java:716)
at com.amazonaws.http.AmazonHttpClient$RequestExecutor.execute(AmazonHttpClient.java:699)
at com.amazonaws.http.AmazonHttpClient$RequestExecutor.access$500(AmazonHttpClient.java:667)
at com.amazonaws.http.AmazonHttpClient$RequestExecutionBuilderImpl.execute(AmazonHttpClient.java:649)
at com.amazonaws.http.AmazonHttpClient.execute(AmazonHttpClient.java:513)
at com.amazonaws.services.s3.AmazonS3Client.invoke(AmazonS3Client.java:4221)
...
Something has been trying to write data to “/”.
These are the issues where S3 does not appear to behave the way a filesystem “should”.
Amazon S3 is an eventually consistent object store. That is: not a filesystem.
To reduce visible inconsistencies, use the S3Guard consistency cache.
By default, Amazon S3 offers read-after-create consistency: a newly created file is immediately visible. There is a small quirk: a negative GET may be cached, such that even if an object is immediately created, the fact that there “wasn’t” an object is still remembered.
That means the following sequence on its own will be consistent
touch(path) -> getFileStatus(path)
But this sequence may be inconsistent.
getFileStatus(path) -> touch(path) -> getFileStatus(path)
A common source of visible inconsistencies is that the S3 metadata database —the part of S3 which serves list requests— is updated asynchronously. Newly added or deleted files may not be visible in the index, even though direct operations on the object (HEAD and GET) succeed.
That means the getFileStatus() and open() operations are more likely to be consistent with the state of the object store, but without S3Guard enabled, directory list operations such as listStatus(), listFiles(), listLocatedStatus(), and listStatusIterator() may not see newly created files, and still list old files.
This can be a sign of consistency problems. It may also surface if there is some asynchronous file write operation still in progress in the client: the operation has returned, but the write has not yet completed. While the S3A client code does block during the close() operation, we suspect that asynchronous writes may be taking place somewhere in the stack —this could explain why parallel tests fail more often than serialized tests.
(Similarly: deleted file found in listing, though getFileStatus() reports that it is not there)
This is a visible sign of updates to the metadata server lagging behind the state of the underlying filesystem.
Fix: Use S3Guard.
The files in an object store are not visible until the write has been completed. In-progress writes are simply saved to a local file/cached in RAM and only uploaded. at the end of a write operation. If a process terminated unexpectedly, or failed to call the close() method on an output stream, the pending data will have been lost.
Again, this is due to the fact that the data is cached locally until the close() operation. The S3A filesystem cannot be used as a store of data if it is required that the data is persisted durably after every Syncable.hflush() or Syncable.hsync() call. This includes resilient logging, HBase-style journaling and the like. The standard strategy here is to save to HDFS and then copy to S3.
When performing file operations, the user may run into an issue where the KMS key arn is invalid.
org.apache.hadoop.fs.s3a.AWSS3IOException: innerMkdirs on /test: com.amazonaws.services.s3.model.AmazonS3Exception: Invalid arn (Service: Amazon S3; Status Code: 400; Error Code: KMS.NotFoundException; Request ID: CA89F276B3394565), S3 Extended Request ID: ncz0LWn8zor1cUO2fQ7gc5eyqOk3YfyQLDn2OQNoe5Zj/GqDLggUYz9QY7JhdZHdBaDTh+TL5ZQ=: Invalid arn (Service: Amazon S3; Status Code: 400; Error Code: KMS.NotFoundException; Request ID: CA89F276B3394565) at org.apache.hadoop.fs.s3a.S3AUtils.translateException(S3AUtils.java:194) at org.apache.hadoop.fs.s3a.S3AUtils.translateException(S3AUtils.java:117) at org.apache.hadoop.fs.s3a.S3AFileSystem.mkdirs(S3AFileSystem.java:1541) at org.apache.hadoop.fs.FileSystem.mkdirs(FileSystem.java:2230) at org.apache.hadoop.fs.contract.AbstractFSContractTestBase.mkdirs(AbstractFSContractTestBase.java:338) at org.apache.hadoop.fs.contract.AbstractFSContractTestBase.setup(AbstractFSContractTestBase.java:193) at org.apache.hadoop.fs.s3a.scale.S3AScaleTestBase.setup(S3AScaleTestBase.java:90) at org.apache.hadoop.fs.s3a.scale.AbstractSTestS3AHugeFiles.setup(AbstractSTestS3AHugeFiles.java:77) at sun.reflect.GeneratedMethodAccessor12.invoke(Unknown Source) at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) at java.lang.reflect.Method.invoke(Method.java:498) at org.junit.runners.model.FrameworkMethod$1.runReflectiveCall(FrameworkMethod.java:47) at org.junit.internal.runners.model.ReflectiveCallable.run(ReflectiveCallable.java:12) at org.junit.runners.model.FrameworkMethod.invokeExplosively(FrameworkMethod.java:44) at org.junit.internal.runners.statements.RunBefores.evaluate(RunBefores.java:24) at org.junit.internal.runners.statements.RunAfters.evaluate(RunAfters.java:27) at org.junit.rules.TestWatcher$1.evaluate(TestWatcher.java:55) at org.junit.internal.runners.statements.FailOnTimeout$StatementThread.run(FailOnTimeout.java:74) Caused by: com.amazonaws.services.s3.model.AmazonS3Exception: Invalid arn (Service: Amazon S3; Status Code: 400; Error Code: KMS.NotFoundException; Request ID: CA89F276B3394565) at com.amazonaws.http.AmazonHttpClient$RequestExecutor.handleErrorResponse(AmazonHttpClient.java:1588) at com.amazonaws.http.AmazonHttpClient$RequestExecutor.executeOneRequest(AmazonHttpClient.java:1258) at com.amazonaws.http.AmazonHttpClient$RequestExecutor.executeHelper(AmazonHttpClient.java:1030) at com.amazonaws.http.AmazonHttpClient$RequestExecutor.doExecute(AmazonHttpClient.java:742) at com.amazonaws.http.AmazonHttpClient$RequestExecutor.executeWithTimer(AmazonHttpClient.java:716) at com.amazonaws.http.AmazonHttpClient$RequestExecutor.execute(AmazonHttpClient.java:699) at com.amazonaws.http.AmazonHttpClient$RequestExecutor.access$500(AmazonHttpClient.java:667) at com.amazonaws.http.AmazonHttpClient$RequestExecutionBuilderImpl.execute(AmazonHttpClient.java:649) at com.amazonaws.http.AmazonHttpClient.execute(AmazonHttpClient.java:513) at com.amazonaws.services.s3.AmazonS3Client.invoke(AmazonS3Client.java:4221) at com.amazonaws.services.s3.AmazonS3Client.invoke(AmazonS3Client.java:4168) at com.amazonaws.services.s3.AmazonS3Client.putObject(AmazonS3Client.java:1718) at com.amazonaws.services.s3.transfer.internal.UploadCallable.uploadInOneChunk(UploadCallable.java:133) at com.amazonaws.services.s3.transfer.internal.UploadCallable.call(UploadCallable.java:125) at com.amazonaws.services.s3.transfer.internal.UploadMonitor.call(UploadMonitor.java:143) at com.amazonaws.services.s3.transfer.internal.UploadMonitor.call(UploadMonitor.java:48) at java.util.concurrent.FutureTask.run(FutureTask.java:266) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617) at java.lang.Thread.run(Thread.java:745)
Possible causes:
When performing file operations the user may run into an unexpected 400/403 error such as
org.apache.hadoop.fs.s3a.AWSS3IOException: getFileStatus on fork-4/: com.amazonaws.services.s3.model.AmazonS3Exception: Bad Request (Service: Amazon S3; Status Code: 400; Error Code: 400 Bad Request; Request ID: 42F9A1987CB49A99), S3 Extended Request ID: jU2kcwaXnWj5APB14Cgb1IKkc449gu2+dhIsW/+7x9J4D+VUkKvu78mBo03oh9jnOT2eoTLdECU=: Bad Request (Service: Amazon S3; Status Code: 400; Error Code: 400 Bad Request; Request ID: 42F9A1987CB49A99)
This can happen in the cases of not specifying the correct SSE-C encryption key. Such cases can be as follows: 1. An object is encrypted using SSE-C on S3 and either the wrong encryption type is used, no encryption is specified, or the SSE-C specified is incorrect. 2. A directory is encrypted with a SSE-C keyA and the user is trying to move a file using configured SSE-C keyB into that structure.
This is a message which can be generated by the Amazon SDK when the client application calls abort() on the HTTP input stream, rather than reading to the end of the file/stream and causing close(). The S3A client does call abort() when seeking round large files, so leading to the message.
No ASF Hadoop releases have shipped with an SDK which prints this message when used by the S3A client. However third party and private builds of Hadoop may cause the message to be logged.
Ignore it. The S3A client does call abort(), but that’s because our benchmarking shows that it is generally more efficient to abort the TCP connection and initiate a new one than read to the end of a large file.
Note: the threshold when data is read rather than the stream aborted can be tuned by fs.s3a.readahead.range; seek policy in fs.s3a.experimental.fadvise.
The bucket does not exist.
java.io.FileNotFoundException: Bucket stevel45r56666 does not exist at org.apache.hadoop.fs.s3a.S3AFileSystem.verifyBucketExists(S3AFileSystem.java:361) at org.apache.hadoop.fs.s3a.S3AFileSystem.initialize(S3AFileSystem.java:293) at org.apache.hadoop.fs.FileSystem.createFileSystem(FileSystem.java:3288) at org.apache.hadoop.fs.FileSystem.access$200(FileSystem.java:123) at org.apache.hadoop.fs.FileSystem$Cache.getInternal(FileSystem.java:3337) at org.apache.hadoop.fs.FileSystem$Cache.getUnique(FileSystem.java:3311) at org.apache.hadoop.fs.FileSystem.newInstance(FileSystem.java:529) at org.apache.hadoop.fs.s3a.s3guard.S3GuardTool$BucketInfo.run(S3GuardTool.java:997) at org.apache.hadoop.fs.s3a.s3guard.S3GuardTool.run(S3GuardTool.java:309) at org.apache.hadoop.util.ToolRunner.run(ToolRunner.java:76) at org.apache.hadoop.fs.s3a.s3guard.S3GuardTool.run(S3GuardTool.java:1218) at org.apache.hadoop.fs.s3a.s3guard.S3GuardTool.main(S3GuardTool.java:1227)
Check the URI. If using a third-party store, verify that you’ve configured the client to talk to the specific server in fs.s3a.endpoint.
The AWS SDK and the Apache S3 components can be configured to log at more detail, as can S3A itself.
log4j.logger.org.apache.hadoop.fs.s3a=DEBUG log4j.logger.com.amazonaws.request=DEBUG log4j.logger.com.amazonaws.thirdparty.apache.http=DEBUG
If using the “unshaded” JAR, then the Apache HttpClient can be directly configured:
log4j.logger.org.apache.http=DEBUG
This produces a log such as this, which is for a V4-authenticated PUT of a 0-byte file used as an empty directory marker
execchain.MainClientExec (MainClientExec.java:execute(255)) - Executing request PUT /test/ HTTP/1.1 execchain.MainClientExec (MainClientExec.java:execute(266)) - Proxy auth state: UNCHALLENGED http.headers (LoggingManagedHttpClientConnection.java:onRequestSubmitted(135)) - http-outgoing-0 >> PUT /test/ HTTP/1.1 http.headers (LoggingManagedHttpClientConnection.java:onRequestSubmitted(138)) - http-outgoing-0 >> Host: ireland-new.s3-eu-west-1.amazonaws.com http.headers (LoggingManagedHttpClientConnection.java:onRequestSubmitted(138)) - http-outgoing-0 >> x-amz-content-sha256: UNSIGNED-PAYLOAD http.headers (LoggingManagedHttpClientConnection.java:onRequestSubmitted(138)) - http-outgoing-0 >> Authorization: AWS4-HMAC-SHA256 Credential=AKIAIYZ5JEEEER/20170904/eu-west-1/s3/aws4_request, ... http.headers (LoggingManagedHttpClientConnection.java:onRequestSubmitted(138)) - http-outgoing-0 >> X-Amz-Date: 20170904T172929Z http.headers (LoggingManagedHttpClientConnection.java:onRequestSubmitted(138)) - http-outgoing-0 >> User-Agent: Hadoop 3.0.0-beta-1, aws-sdk-java/1.11.134 ... http.headers (LoggingManagedHttpClientConnection.java:onRequestSubmitted(138)) - http-outgoing-0 >> amz-sdk-invocation-id: 75b530f8-ad31-1ad3-13db-9bd53666b30d http.headers (LoggingManagedHttpClientConnection.java:onRequestSubmitted(138)) - http-outgoing-0 >> amz-sdk-retry: 0/0/500 http.headers (LoggingManagedHttpClientConnection.java:onRequestSubmitted(138)) - http-outgoing-0 >> Content-Type: application/octet-stream http.headers (LoggingManagedHttpClientConnection.java:onRequestSubmitted(138)) - http-outgoing-0 >> Content-Length: 0 http.headers (LoggingManagedHttpClientConnection.java:onRequestSubmitted(138)) - http-outgoing-0 >> Connection: Keep-Alive http.wire (Wire.java:wire(72)) - http-outgoing-0 >> "PUT /test/ HTTP/1.1[\r][\n]" http.wire (Wire.java:wire(72)) - http-outgoing-0 >> "Host: ireland-new.s3-eu-west-1.amazonaws.com[\r][\n]" http.wire (Wire.java:wire(72)) - http-outgoing-0 >> "x-amz-content-sha256: UNSIGNED-PAYLOAD[\r][\n]" http.wire (Wire.java:wire(72)) - http-outgoing-0 >> "Authorization: AWS4-HMAC-SHA256 Credential=AKIAIYZ5JEEEER/20170904/eu-west-1/s3/aws4_request, ,,, http.wire (Wire.java:wire(72)) - http-outgoing-0 >> "X-Amz-Date: 20170904T172929Z[\r][\n]" http.wire (Wire.java:wire(72)) - http-outgoing-0 >> "User-Agent: 3.0.0-beta-1, aws-sdk-java/1.11.134 ... http.wire (Wire.java:wire(72)) - http-outgoing-0 >> "amz-sdk-invocation-id: 75b530f8-ad31-1ad3-13db-9bd53666b30d[\r][\n]" http.wire (Wire.java:wire(72)) - http-outgoing-0 >> "amz-sdk-retry: 0/0/500[\r][\n]" http.wire (Wire.java:wire(72)) - http-outgoing-0 >> "Content-Type: application/octet-stream[\r][\n]" http.wire (Wire.java:wire(72)) - http-outgoing-0 >> "Content-Length: 0[\r][\n]" http.wire (Wire.java:wire(72)) - http-outgoing-0 >> "Connection: Keep-Alive[\r][\n]" http.wire (Wire.java:wire(72)) - http-outgoing-0 >> "[\r][\n]" http.wire (Wire.java:wire(72)) - http-outgoing-0 << "HTTP/1.1 200 OK[\r][\n]" http.wire (Wire.java:wire(72)) - http-outgoing-0 << "x-amz-id-2: mad9GqKztzlL0cdnCKAj9GJOAs+DUjbSC5jRkO7W1E7Nk2BUmFvt81bhSNPGdZmyyKqQI9i/B/A=[\r][\n]" http.wire (Wire.java:wire(72)) - http-outgoing-0 << "x-amz-request-id: C953D2FE4ABF5C51[\r][\n]" http.wire (Wire.java:wire(72)) - http-outgoing-0 << "Date: Mon, 04 Sep 2017 17:29:30 GMT[\r][\n]" http.wire (Wire.java:wire(72)) - http-outgoing-0 << "ETag: "d41d8cd98f00b204e9800998ecf8427e"[\r][\n]" http.wire (Wire.java:wire(72)) - http-outgoing-0 << "Content-Length: 0[\r][\n]" http.wire (Wire.java:wire(72)) - http-outgoing-0 << "Server: AmazonS3[\r][\n]" http.wire (Wire.java:wire(72)) - http-outgoing-0 << "[\r][\n]" http.headers (LoggingManagedHttpClientConnection.java:onResponseReceived(124)) - http-outgoing-0 << HTTP/1.1 200 OK http.headers (LoggingManagedHttpClientConnection.java:onResponseReceived(127)) - http-outgoing-0 << x-amz-id-2: mad9GqKztzlL0cdnCKAj9GJOAs+DUjbSC5jRkO7W1E7Nk2BUmFvt81bhSNPGdZmyyKqQI9i/B/A= http.headers (LoggingManagedHttpClientConnection.java:onResponseReceived(127)) - http-outgoing-0 << x-amz-request-id: C953D2FE4ABF5C51 http.headers (LoggingManagedHttpClientConnection.java:onResponseReceived(127)) - http-outgoing-0 << Date: Mon, 04 Sep 2017 17:29:30 GMT http.headers (LoggingManagedHttpClientConnection.java:onResponseReceived(127)) - http-outgoing-0 << ETag: "d41d8cd98f00b204e9800998ecf8427e" http.headers (LoggingManagedHttpClientConnection.java:onResponseReceived(127)) - http-outgoing-0 << Content-Length: 0 http.headers (LoggingManagedHttpClientConnection.java:onResponseReceived(127)) - http-outgoing-0 << Server: AmazonS3 execchain.MainClientExec (MainClientExec.java:execute(284)) - Connection can be kept alive for 60000 MILLISECONDS
The S3A client can ba configured to retry those operations which are considered retryable. That can be because they are idempotent, or because the failure happened before the request was processed by S3.
The number of retries and interval between each retry can be configured:
<property>
<name>fs.s3a.attempts.maximum</name>
<value>20</value>
<description>How many times we should retry commands on transient errors,
excluding throttling errors.</description>
</property>
<property>
<name>fs.s3a.retry.interval</name>
<value>500ms</value>
<description>
Interval between retry attempts.
</description>
</property>
Not all failures are retried. Specifically excluded are those considered unrecoverable:
In future, others may be added to this list.
When one of these failures arises in the S3/S3A client, the retry mechanism is bypassed and the operation will fail.
Warning: the S3A client considers DELETE, PUT and COPY operations to be idempotent, and will retry them on failure. These are only really idempotent if no other client is attempting to manipulate the same objects, such as: renaming() the directory tree or uploading files to the same location. Please don’t do that. Given that the emulated directory rename and delete operations are not atomic, even without retries, multiple S3 clients working with the same paths can interfere with each other