HADOOP-13324. s3a tests don't authenticate with S3 frankfurt (or other V4 auth only endpoints). Contributed by Steve Loughran.
(cherry picked from commit3808876c73) (cherry picked from commit555a57adf2)
This commit is contained in:
Chris Nauroth
parent
b6d92c61fe
commit
ac779f2554
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@ -631,6 +631,60 @@ this capability.
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any call to setReadahead() is made to an open stream.</description>
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</property>
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### Working with buckets in different regions
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S3 Buckets are hosted in different regions, the default being US-East.
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The client talks to it by default, under the URL `s3.amazonaws.com`
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S3A can work with buckets from any region. Each region has its own
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S3 endpoint, documented [by Amazon](http://docs.aws.amazon.com/general/latest/gr/rande.html#s3_region).
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1. Applications running in EC2 infrastructure do not pay for IO to/from
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*local S3 buckets*. They will be billed for access to remote buckets. Always
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use local buckets and local copies of data, wherever possible.
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1. The default S3 endpoint can support data IO with any bucket when the V1 request
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signing protocol is used.
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1. When the V4 signing protocol is used, AWS requires the explicit region endpoint
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to be used —hence S3A must be configured to use the specific endpoint. This
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is done in the configuration option `fs.s3a.endpoint`.
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1. All endpoints other than the default endpoint only support interaction
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with buckets local to that S3 instance.
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While it is generally simpler to use the default endpoint, working with
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V4-signing-only regions (Frankfurt, Seoul) requires the endpoint to be identified.
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Expect better performance from direct connections —traceroute will give you some insight.
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Examples:
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The default endpoint:
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```xml
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<property>
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<name>fs.s3a.endpoint</name>
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<value>s3.amazonaws.com</value>
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</property>
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```
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Frankfurt
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```xml
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<property>
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<name>fs.s3a.endpoint</name>
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<value>s3.eu-central-1.amazonaws.com</value>
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</property>
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```
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Seoul
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```xml
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<property>
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<name>fs.s3a.endpoint</name>
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<value>s3.ap-northeast-2.amazonaws.com</value>
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</property>
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```
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If the wrong endpoint is used, the request may fail. This may be reported as a 301/redirect error,
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or as a 400 Bad Request.
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### S3AFastOutputStream
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**Warning: NEW in hadoop 2.7. UNSTABLE, EXPERIMENTAL: use at own risk**
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@ -816,8 +870,6 @@ of environment-variable authentication by attempting to use the `hdfs fs` comman
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to read or write data on S3. That is: comment out the `fs.s3a` secrets and rely on
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the environment variables.
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S3 Frankfurt is a special case. It uses the V4 authentication API.
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### Authentication failures running on Java 8u60+
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A change in the Java 8 JVM broke some of the `toString()` string generation
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@ -826,6 +878,106 @@ generate authentication headers suitable for validation by S3.
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Fix: make sure that the version of Joda Time is 2.8.1 or later.
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### "Bad Request" exception when working with AWS S3 Frankfurt, Seoul, or elsewhere
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S3 Frankfurt and Seoul *only* support
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[the V4 authentication API](http://docs.aws.amazon.com/AmazonS3/latest/API/sig-v4-authenticating-requests.html).
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Requests using the V2 API will be rejected with 400 `Bad Request`
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```
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$ bin/hadoop fs -ls s3a://frankfurt/
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WARN s3a.S3AFileSystem: Client: Amazon S3 error 400: 400 Bad Request; Bad Request (retryable)
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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=
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at com.amazonaws.http.AmazonHttpClient.handleErrorResponse(AmazonHttpClient.java:1182)
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at com.amazonaws.http.AmazonHttpClient.executeOneRequest(AmazonHttpClient.java:770)
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at com.amazonaws.http.AmazonHttpClient.executeHelper(AmazonHttpClient.java:489)
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at com.amazonaws.http.AmazonHttpClient.execute(AmazonHttpClient.java:310)
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at com.amazonaws.services.s3.AmazonS3Client.invoke(AmazonS3Client.java:3785)
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at com.amazonaws.services.s3.AmazonS3Client.headBucket(AmazonS3Client.java:1107)
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at com.amazonaws.services.s3.AmazonS3Client.doesBucketExist(AmazonS3Client.java:1070)
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at org.apache.hadoop.fs.s3a.S3AFileSystem.verifyBucketExists(S3AFileSystem.java:307)
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at org.apache.hadoop.fs.s3a.S3AFileSystem.initialize(S3AFileSystem.java:284)
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at org.apache.hadoop.fs.FileSystem.createFileSystem(FileSystem.java:2793)
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at org.apache.hadoop.fs.FileSystem.access$200(FileSystem.java:101)
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at org.apache.hadoop.fs.FileSystem$Cache.getInternal(FileSystem.java:2830)
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at org.apache.hadoop.fs.FileSystem$Cache.get(FileSystem.java:2812)
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at org.apache.hadoop.fs.FileSystem.get(FileSystem.java:389)
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at org.apache.hadoop.fs.Path.getFileSystem(Path.java:356)
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at org.apache.hadoop.fs.shell.PathData.expandAsGlob(PathData.java:325)
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at org.apache.hadoop.fs.shell.Command.expandArgument(Command.java:235)
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at org.apache.hadoop.fs.shell.Command.expandArguments(Command.java:218)
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at org.apache.hadoop.fs.shell.FsCommand.processRawArguments(FsCommand.java:103)
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at org.apache.hadoop.fs.shell.Command.run(Command.java:165)
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at org.apache.hadoop.fs.FsShell.run(FsShell.java:315)
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at org.apache.hadoop.util.ToolRunner.run(ToolRunner.java:76)
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at org.apache.hadoop.util.ToolRunner.run(ToolRunner.java:90)
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at org.apache.hadoop.fs.FsShell.main(FsShell.java:373)
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ls: doesBucketExist on frankfurt-new: com.amazonaws.services.s3.model.AmazonS3Exception:
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Bad Request (Service: Amazon S3; Status Code: 400; Error Code: 400 Bad Request;
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```
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This happens when trying to work with any S3 service which only supports the
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"V4" signing API —and he client is configured to use the default S3A service
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endpoint.
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The S3A client needs to be given the endpoint to use via the `fs.s3a.endpoint`
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property.
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```xml
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<property>
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<name>fs.s3a.endpoint</name>
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<value>s3.eu-central-1.amazonaws.com</value>
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</property>
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```
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### Error message "The bucket you are attempting to access must be addressed using the specified endpoint"
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This surfaces when `fs.s3a.endpoint` is configured to use S3 service endpoint
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which is neither the original AWS one, `s3.amazonaws.com` , nor the one where
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the bucket is hosted.
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```
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org.apache.hadoop.fs.s3a.AWSS3IOException: purging multipart uploads on landsat-pds:
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com.amazonaws.services.s3.model.AmazonS3Exception:
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The bucket you are attempting to access must be addressed using the specified endpoint.
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Please send all future requests to this endpoint.
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(Service: Amazon S3; Status Code: 301; Error Code: PermanentRedirect; Request ID: 5B7A5D18BE596E4B),
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S3 Extended Request ID: uE4pbbmpxi8Nh7rycS6GfIEi9UH/SWmJfGtM9IeKvRyBPZp/hN7DbPyz272eynz3PEMM2azlhjE=:
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at com.amazonaws.http.AmazonHttpClient.handleErrorResponse(AmazonHttpClient.java:1182)
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at com.amazonaws.http.AmazonHttpClient.executeOneRequest(AmazonHttpClient.java:770)
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at com.amazonaws.http.AmazonHttpClient.executeHelper(AmazonHttpClient.java:489)
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at com.amazonaws.http.AmazonHttpClient.execute(AmazonHttpClient.java:310)
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at com.amazonaws.services.s3.AmazonS3Client.invoke(AmazonS3Client.java:3785)
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at com.amazonaws.services.s3.AmazonS3Client.invoke(AmazonS3Client.java:3738)
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at com.amazonaws.services.s3.AmazonS3Client.listMultipartUploads(AmazonS3Client.java:2796)
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at com.amazonaws.services.s3.transfer.TransferManager.abortMultipartUploads(TransferManager.java:1217)
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at org.apache.hadoop.fs.s3a.S3AFileSystem.initMultipartUploads(S3AFileSystem.java:454)
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at org.apache.hadoop.fs.s3a.S3AFileSystem.initialize(S3AFileSystem.java:289)
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at org.apache.hadoop.fs.FileSystem.createFileSystem(FileSystem.java:2715)
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at org.apache.hadoop.fs.FileSystem.access$200(FileSystem.java:96)
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at org.apache.hadoop.fs.FileSystem$Cache.getInternal(FileSystem.java:2749)
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at org.apache.hadoop.fs.FileSystem$Cache.getUnique(FileSystem.java:2737)
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at org.apache.hadoop.fs.FileSystem.newInstance(FileSystem.java:430)
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```
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1. Use the [Specific endpoint of the bucket's S3 service](http://docs.aws.amazon.com/general/latest/gr/rande.html#s3_region)
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1. If not using "V4" authentication (see above), the original S3 endpoint
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can be used:
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```
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<property>
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<name>fs.s3a.endpoint</name>
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<value>s3.amazonaws.com</value>
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</property>
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```
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Using the explicit endpoint for the region is recommended for speed and the
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ability to use the V4 signing API.
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## Visible S3 Inconsistency
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Amazon S3 is *an eventually consistent object store*. That is: not a filesystem.
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@ -1155,7 +1307,43 @@ that the file `contract-test-options.xml` does not contain any
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secret credentials itself. As the auth keys XML file is kept out of the
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source code tree, it is not going to get accidentally committed.
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### Running Tests against non-AWS storage infrastructures
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### Running the Tests
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After completing the configuration, execute the test run through Maven.
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mvn clean test
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It's also possible to execute multiple test suites in parallel by enabling the
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`parallel-tests` Maven profile. The tests spend most of their time blocked on
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network I/O with the S3 service, so running in parallel tends to complete full
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test runs faster.
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mvn -Pparallel-tests clean test
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Some tests must run with exclusive access to the S3 bucket, so even with the
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`parallel-tests` profile enabled, several test suites will run in serial in a
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separate Maven execution step after the parallel tests.
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By default, the `parallel-tests` profile runs 4 test suites concurrently. This
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can be tuned by passing the `testsThreadCount` argument.
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mvn -Pparallel-tests -DtestsThreadCount=8 clean test
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### Testing against different regions
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S3A can connect to different regions —the tests support this. Simply
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define the target region in `contract-tests.xml` or any `auth-keys.xml`
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file referenced.
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```xml
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<property>
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<name>fs.s3a.endpoint</name>
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<value>s3.eu-central-1.amazonaws.com</value>
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</property>
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```
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This is used for all tests expect for scale tests using a Public CSV.gz file
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(see below)
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### S3A session tests
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@ -1180,14 +1368,14 @@ An alternate endpoint may be defined in `test.fs.s3a.sts.endpoint`.
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The default is ""; meaning "use the amazon default value".
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#### CSV Data source
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#### CSV Data source Tests
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The `TestS3AInputStreamPerformance` tests require read access to a multi-MB
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text file. The default file for these tests is one published by amazon,
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[s3a://landsat-pds.s3.amazonaws.com/scene_list.gz](http://landsat-pds.s3.amazonaws.com/scene_list.gz).
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This is a gzipped CSV index of other files which amazon serves for open use.
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The path to this object is set in the option `fs.s3a.scale.test.csvfile`:
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The path to this object is set in the option `fs.s3a.scale.test.csvfile`,
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<property>
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<name>fs.s3a.scale.test.csvfile</name>
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@ -1196,21 +1384,37 @@ The path to this object is set in the option `fs.s3a.scale.test.csvfile`:
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1. If the option is not overridden, the default value is used. This
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is hosted in Amazon's US-east datacenter.
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1. If the property is empty, tests which require it will be skipped.
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1. If `fs.s3a.scale.test.csvfile` is empty, tests which require it will be skipped.
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1. If the data cannot be read for any reason then the test will fail.
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1. If the property is set to a different path, then that data must be readable
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and "sufficiently" large.
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To test on different S3 endpoints, or alternate infrastructures supporting
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the same APIs, the option `fs.s3a.scale.test.csvfile` must therefore be
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the same APIs, the option `fs.s3a.scale.test.csvfile` must either be
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set to " ", or an object of at least 10MB is uploaded to the object store, and
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the `fs.s3a.scale.test.csvfile` option set to its path.
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<property>
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<name>fs.s3a.scale.test.csvfile</name>
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<value> </value>
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</property>
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```xml
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<property>
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<name>fs.s3a.scale.test.csvfile</name>
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<value> </value>
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</property>
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```
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(the reason the space or newline is needed is to add "an empty entry"; an empty
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`<value/>` would be considered undefined and pick up the default)
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*Note:* if using a test file in an S3 region requiring a different endpoint value
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set in `fs.s3a.endpoint`, define it in `fs.s3a.scale.test.csvfile.endpoint`.
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If the default CSV file is used, the tests will automatically use the us-east
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endpoint:
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```xml
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<property>
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<name>fs.s3a.scale.test.csvfile.endpoint</name>
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<value>s3.amazonaws.com</value>
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</property>
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```
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#### Scale test operation count
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@ -1249,27 +1453,6 @@ smaller to achieve faster test runs.
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<value>10240</value>
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</property>
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### Running the Tests
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After completing the configuration, execute the test run through Maven.
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mvn clean test
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It's also possible to execute multiple test suites in parallel by enabling the
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`parallel-tests` Maven profile. The tests spend most of their time blocked on
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network I/O with the S3 service, so running in parallel tends to complete full
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test runs faster.
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mvn -Pparallel-tests clean test
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Some tests must run with exclusive access to the S3 bucket, so even with the
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`parallel-tests` profile enabled, several test suites will run in serial in a
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separate Maven execution step after the parallel tests.
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By default, the `parallel-tests` profile runs 4 test suites concurrently. This
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can be tuned by passing the `testsThreadCount` argument.
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mvn -Pparallel-tests -DtestsThreadCount=8 clean test
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### Testing against non AWS S3 endpoints.
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@ -21,6 +21,7 @@ package org.apache.hadoop.fs.s3a;
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import org.apache.commons.lang.StringUtils;
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import org.apache.hadoop.conf.Configuration;
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import org.apache.hadoop.fs.FileContext;
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import org.apache.hadoop.fs.s3a.scale.S3AScaleTestBase;
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import org.junit.Assert;
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import org.junit.internal.AssumptionViolatedException;
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import org.slf4j.Logger;
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@ -133,6 +134,20 @@ public class S3ATestUtils {
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throw lastException;
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}
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/**
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* patch the endpoint option so that irrespective of where other tests
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* are working, the IO performance tests can work with the landsat
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* images.
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* @param conf configuration to patch
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*/
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public static void useCSVDataEndpoint(Configuration conf) {
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String endpoint = conf.getTrimmed(S3AScaleTestBase.KEY_CSVTEST_ENDPOINT,
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S3AScaleTestBase.DEFAULT_CSVTEST_ENDPOINT);
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if (!endpoint.isEmpty()) {
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conf.set(ENDPOINT, endpoint);
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}
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}
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/**
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* The exception to raise so as to exit fast from
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* {@link #eventually(int, Callable)}.
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@ -133,6 +133,7 @@ public class TestS3AAWSCredentialsProvider {
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AnonymousAWSCredentialsProvider.class.getName());
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Path testFile = new Path(
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conf.getTrimmed(KEY_CSVTEST_FILE, DEFAULT_CSVTEST_FILE));
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S3ATestUtils.useCSVDataEndpoint(conf);
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FileSystem fs = FileSystem.newInstance(testFile.toUri(), conf);
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assertNotNull(fs);
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assertTrue(fs instanceof S3AFileSystem);
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@ -82,13 +82,26 @@ public class S3AScaleTestBase extends Assert implements S3ATestConstants {
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*/
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public static final String KEY_CSVTEST_FILE =
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S3A_SCALE_TEST + "csvfile";
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/**
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* Default path for the multi MB test file: {@value}.
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*/
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public static final String DEFAULT_CSVTEST_FILE
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= "s3a://landsat-pds/scene_list.gz";
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/**
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* Endpoint for the S3 CSV/scale tests. This defaults to
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* being us-east.
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*/
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public static final String KEY_CSVTEST_ENDPOINT =
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S3A_SCALE_TEST + "csvfile.endpoint";
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/**
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* Endpoint for the S3 CSV/scale tests. This defaults to
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* being us-east.
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*/
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public static final String DEFAULT_CSVTEST_ENDPOINT =
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"s3.amazonaws.com";
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/**
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* The default number of operations to perform: {@value}.
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*/
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@ -28,6 +28,7 @@ import org.apache.hadoop.fs.s3a.S3AFileSystem;
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import org.apache.hadoop.fs.s3a.S3AInputPolicy;
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import org.apache.hadoop.fs.s3a.S3AInputStream;
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import org.apache.hadoop.fs.s3a.S3AInstrumentation;
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import org.apache.hadoop.fs.s3a.S3ATestUtils;
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import org.apache.hadoop.io.IOUtils;
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import org.apache.hadoop.io.Text;
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import org.apache.hadoop.io.compress.CompressionCodec;
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@ -79,6 +80,7 @@ public class TestS3AInputStreamPerformance extends S3AScaleTestBase {
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assumptionMessage = "Empty test property: " + KEY_CSVTEST_FILE;
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testDataAvailable = false;
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} else {
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S3ATestUtils.useCSVDataEndpoint(conf);
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testData = new Path(testFile);
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Path path = this.testData;
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bindS3aFS(path);
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