HADOOP-13324. s3a tests don't authenticate with S3 frankfurt (or other V4 auth only endpoints). Contributed by Steve Loughran.
This commit is contained in:
Chris Nauroth
parent
27a6e09c4e
commit
3808876c73
|
|
@ -634,6 +634,60 @@ this capability.
|
|||
any call to setReadahead() is made to an open stream.</description>
|
||||
</property>
|
||||
|
||||
### Working with buckets in different regions
|
||||
|
||||
S3 Buckets are hosted in different regions, the default being US-East.
|
||||
The client talks to it by default, under the URL `s3.amazonaws.com`
|
||||
|
||||
S3A can work with buckets from any region. Each region has its own
|
||||
S3 endpoint, documented [by Amazon](http://docs.aws.amazon.com/general/latest/gr/rande.html#s3_region).
|
||||
|
||||
1. Applications running in EC2 infrastructure do not pay for IO to/from
|
||||
*local S3 buckets*. They will be billed for access to remote buckets. Always
|
||||
use local buckets and local copies of data, wherever possible.
|
||||
1. The default S3 endpoint can support data IO with any bucket when the V1 request
|
||||
signing protocol is used.
|
||||
1. When the V4 signing protocol is used, AWS requires the explicit region endpoint
|
||||
to be used —hence S3A must be configured to use the specific endpoint. This
|
||||
is done in the configuration option `fs.s3a.endpoint`.
|
||||
1. All endpoints other than the default endpoint only support interaction
|
||||
with buckets local to that S3 instance.
|
||||
|
||||
While it is generally simpler to use the default endpoint, working with
|
||||
V4-signing-only regions (Frankfurt, Seoul) requires the endpoint to be identified.
|
||||
Expect better performance from direct connections —traceroute will give you some insight.
|
||||
|
||||
Examples:
|
||||
|
||||
The default endpoint:
|
||||
|
||||
```xml
|
||||
<property>
|
||||
<name>fs.s3a.endpoint</name>
|
||||
<value>s3.amazonaws.com</value>
|
||||
</property>
|
||||
```
|
||||
|
||||
Frankfurt
|
||||
|
||||
```xml
|
||||
<property>
|
||||
<name>fs.s3a.endpoint</name>
|
||||
<value>s3.eu-central-1.amazonaws.com</value>
|
||||
</property>
|
||||
```
|
||||
|
||||
Seoul
|
||||
```xml
|
||||
<property>
|
||||
<name>fs.s3a.endpoint</name>
|
||||
<value>s3.ap-northeast-2.amazonaws.com</value>
|
||||
</property>
|
||||
```
|
||||
|
||||
If the wrong endpoint is used, the request may fail. This may be reported as a 301/redirect error,
|
||||
or as a 400 Bad Request.
|
||||
|
||||
### S3AFastOutputStream
|
||||
**Warning: NEW in hadoop 2.7. UNSTABLE, EXPERIMENTAL: use at own risk**
|
||||
|
||||
|
|
@ -819,8 +873,6 @@ of environment-variable authentication by attempting to use the `hdfs fs` comman
|
|||
to read or write data on S3. That is: comment out the `fs.s3a` secrets and rely on
|
||||
the environment variables.
|
||||
|
||||
S3 Frankfurt is a special case. It uses the V4 authentication API.
|
||||
|
||||
### Authentication failures running on Java 8u60+
|
||||
|
||||
A change in the Java 8 JVM broke some of the `toString()` string generation
|
||||
|
|
@ -829,6 +881,106 @@ generate authentication headers suitable for validation by S3.
|
|||
|
||||
Fix: make sure that the version of Joda Time is 2.8.1 or later.
|
||||
|
||||
### "Bad Request" exception when working with AWS S3 Frankfurt, Seoul, or elsewhere
|
||||
|
||||
|
||||
S3 Frankfurt and Seoul *only* support
|
||||
[the V4 authentication API](http://docs.aws.amazon.com/AmazonS3/latest/API/sig-v4-authenticating-requests.html).
|
||||
|
||||
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 —and he client is configured to use the default S3A service
|
||||
endpoint.
|
||||
|
||||
The S3A client needs to be given the endpoint to use via the `fs.s3a.endpoint`
|
||||
property.
|
||||
|
||||
```xml
|
||||
<property>
|
||||
<name>fs.s3a.endpoint</name>
|
||||
<value>s3.eu-central-1.amazonaws.com</value>
|
||||
</property>
|
||||
```
|
||||
|
||||
### Error message "The bucket you are attempting to access must be addressed using the specified endpoint"
|
||||
|
||||
This surfaces when `fs.s3a.endpoint` is configured to use S3 service endpoint
|
||||
which is neither the original AWS one, `s3.amazonaws.com` , nor the one where
|
||||
the bucket is hosted.
|
||||
|
||||
```
|
||||
org.apache.hadoop.fs.s3a.AWSS3IOException: purging multipart uploads on landsat-pds:
|
||||
com.amazonaws.services.s3.model.AmazonS3Exception:
|
||||
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: 5B7A5D18BE596E4B),
|
||||
S3 Extended Request ID: uE4pbbmpxi8Nh7rycS6GfIEi9UH/SWmJfGtM9IeKvRyBPZp/hN7DbPyz272eynz3PEMM2azlhjE=:
|
||||
|
||||
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.invoke(AmazonS3Client.java:3738)
|
||||
at com.amazonaws.services.s3.AmazonS3Client.listMultipartUploads(AmazonS3Client.java:2796)
|
||||
at com.amazonaws.services.s3.transfer.TransferManager.abortMultipartUploads(TransferManager.java:1217)
|
||||
at org.apache.hadoop.fs.s3a.S3AFileSystem.initMultipartUploads(S3AFileSystem.java:454)
|
||||
at org.apache.hadoop.fs.s3a.S3AFileSystem.initialize(S3AFileSystem.java:289)
|
||||
at org.apache.hadoop.fs.FileSystem.createFileSystem(FileSystem.java:2715)
|
||||
at org.apache.hadoop.fs.FileSystem.access$200(FileSystem.java:96)
|
||||
at org.apache.hadoop.fs.FileSystem$Cache.getInternal(FileSystem.java:2749)
|
||||
at org.apache.hadoop.fs.FileSystem$Cache.getUnique(FileSystem.java:2737)
|
||||
at org.apache.hadoop.fs.FileSystem.newInstance(FileSystem.java:430)
|
||||
```
|
||||
|
||||
1. Use the [Specific endpoint of the bucket's S3 service](http://docs.aws.amazon.com/general/latest/gr/rande.html#s3_region)
|
||||
1. If not using "V4" authentication (see above), the original S3 endpoint
|
||||
can be used:
|
||||
|
||||
```
|
||||
<property>
|
||||
<name>fs.s3a.endpoint</name>
|
||||
<value>s3.amazonaws.com</value>
|
||||
</property>
|
||||
```
|
||||
|
||||
Using the explicit endpoint for the region is recommended for speed and the
|
||||
ability to use the V4 signing API.
|
||||
|
||||
## Visible S3 Inconsistency
|
||||
|
||||
Amazon S3 is *an eventually consistent object store*. That is: not a filesystem.
|
||||
|
|
@ -1124,7 +1276,43 @@ that the file `contract-test-options.xml` does not contain any
|
|||
secret credentials itself. As the auth keys XML file is kept out of the
|
||||
source code tree, it is not going to get accidentally committed.
|
||||
|
||||
### Running Tests against non-AWS storage infrastructures
|
||||
|
||||
### Running the Tests
|
||||
|
||||
After completing the configuration, execute the test run through Maven.
|
||||
|
||||
mvn clean test
|
||||
|
||||
It's also possible to execute multiple test suites in parallel by enabling the
|
||||
`parallel-tests` Maven profile. The tests spend most of their time blocked on
|
||||
network I/O with the S3 service, so running in parallel tends to complete full
|
||||
test runs faster.
|
||||
|
||||
mvn -Pparallel-tests clean test
|
||||
|
||||
Some tests must run with exclusive access to the S3 bucket, so even with the
|
||||
`parallel-tests` profile enabled, several test suites will run in serial in a
|
||||
separate Maven execution step after the parallel tests.
|
||||
|
||||
By default, the `parallel-tests` profile runs 4 test suites concurrently. This
|
||||
can be tuned by passing the `testsThreadCount` argument.
|
||||
|
||||
mvn -Pparallel-tests -DtestsThreadCount=8 clean test
|
||||
|
||||
### Testing against different regions
|
||||
|
||||
S3A can connect to different regions —the tests support this. Simply
|
||||
define the target region in `contract-tests.xml` or any `auth-keys.xml`
|
||||
file referenced.
|
||||
|
||||
```xml
|
||||
<property>
|
||||
<name>fs.s3a.endpoint</name>
|
||||
<value>s3.eu-central-1.amazonaws.com</value>
|
||||
</property>
|
||||
```
|
||||
This is used for all tests expect for scale tests using a Public CSV.gz file
|
||||
(see below)
|
||||
|
||||
### S3A session tests
|
||||
|
||||
|
|
@ -1149,14 +1337,14 @@ An alternate endpoint may be defined in `test.fs.s3a.sts.endpoint`.
|
|||
|
||||
The default is ""; meaning "use the amazon default value".
|
||||
|
||||
#### CSV Data source
|
||||
#### CSV Data source Tests
|
||||
|
||||
The `TestS3AInputStreamPerformance` tests require read access to a multi-MB
|
||||
text file. The default file for these tests is one published by amazon,
|
||||
[s3a://landsat-pds.s3.amazonaws.com/scene_list.gz](http://landsat-pds.s3.amazonaws.com/scene_list.gz).
|
||||
This is a gzipped CSV index of other files which amazon serves for open use.
|
||||
|
||||
The path to this object is set in the option `fs.s3a.scale.test.csvfile`:
|
||||
The path to this object is set in the option `fs.s3a.scale.test.csvfile`,
|
||||
|
||||
<property>
|
||||
<name>fs.s3a.scale.test.csvfile</name>
|
||||
|
|
@ -1165,21 +1353,37 @@ The path to this object is set in the option `fs.s3a.scale.test.csvfile`:
|
|||
|
||||
1. If the option is not overridden, the default value is used. This
|
||||
is hosted in Amazon's US-east datacenter.
|
||||
1. If the property is empty, tests which require it will be skipped.
|
||||
1. If `fs.s3a.scale.test.csvfile` is empty, tests which require it will be skipped.
|
||||
1. If the data cannot be read for any reason then the test will fail.
|
||||
1. If the property is set to a different path, then that data must be readable
|
||||
and "sufficiently" large.
|
||||
|
||||
To test on different S3 endpoints, or alternate infrastructures supporting
|
||||
the same APIs, the option `fs.s3a.scale.test.csvfile` must therefore be
|
||||
the same APIs, the option `fs.s3a.scale.test.csvfile` must either be
|
||||
set to " ", or an object of at least 10MB is uploaded to the object store, and
|
||||
the `fs.s3a.scale.test.csvfile` option set to its path.
|
||||
|
||||
<property>
|
||||
```xml
|
||||
<property>
|
||||
<name>fs.s3a.scale.test.csvfile</name>
|
||||
<value> </value>
|
||||
</property>
|
||||
</property>
|
||||
```
|
||||
|
||||
(the reason the space or newline is needed is to add "an empty entry"; an empty
|
||||
`<value/>` would be considered undefined and pick up the default)
|
||||
|
||||
*Note:* if using a test file in an S3 region requiring a different endpoint value
|
||||
set in `fs.s3a.endpoint`, define it in `fs.s3a.scale.test.csvfile.endpoint`.
|
||||
If the default CSV file is used, the tests will automatically use the us-east
|
||||
endpoint:
|
||||
|
||||
```xml
|
||||
<property>
|
||||
<name>fs.s3a.scale.test.csvfile.endpoint</name>
|
||||
<value>s3.amazonaws.com</value>
|
||||
</property>
|
||||
```
|
||||
|
||||
#### Scale test operation count
|
||||
|
||||
|
|
@ -1218,27 +1422,6 @@ smaller to achieve faster test runs.
|
|||
<value>10240</value>
|
||||
</property>
|
||||
|
||||
### Running the Tests
|
||||
|
||||
After completing the configuration, execute the test run through Maven.
|
||||
|
||||
mvn clean test
|
||||
|
||||
It's also possible to execute multiple test suites in parallel by enabling the
|
||||
`parallel-tests` Maven profile. The tests spend most of their time blocked on
|
||||
network I/O with the S3 service, so running in parallel tends to complete full
|
||||
test runs faster.
|
||||
|
||||
mvn -Pparallel-tests clean test
|
||||
|
||||
Some tests must run with exclusive access to the S3 bucket, so even with the
|
||||
`parallel-tests` profile enabled, several test suites will run in serial in a
|
||||
separate Maven execution step after the parallel tests.
|
||||
|
||||
By default, the `parallel-tests` profile runs 4 test suites concurrently. This
|
||||
can be tuned by passing the `testsThreadCount` argument.
|
||||
|
||||
mvn -Pparallel-tests -DtestsThreadCount=8 clean test
|
||||
|
||||
### Testing against non AWS S3 endpoints.
|
||||
|
||||
|
|
|
|||
|
|
@ -21,6 +21,7 @@ package org.apache.hadoop.fs.s3a;
|
|||
import org.apache.commons.lang.StringUtils;
|
||||
import org.apache.hadoop.conf.Configuration;
|
||||
import org.apache.hadoop.fs.FileContext;
|
||||
import org.apache.hadoop.fs.s3a.scale.S3AScaleTestBase;
|
||||
import org.junit.Assert;
|
||||
import org.junit.internal.AssumptionViolatedException;
|
||||
import org.slf4j.Logger;
|
||||
|
|
@ -133,6 +134,20 @@ public class S3ATestUtils {
|
|||
throw lastException;
|
||||
}
|
||||
|
||||
/**
|
||||
* patch the endpoint option so that irrespective of where other tests
|
||||
* are working, the IO performance tests can work with the landsat
|
||||
* images.
|
||||
* @param conf configuration to patch
|
||||
*/
|
||||
public static void useCSVDataEndpoint(Configuration conf) {
|
||||
String endpoint = conf.getTrimmed(S3AScaleTestBase.KEY_CSVTEST_ENDPOINT,
|
||||
S3AScaleTestBase.DEFAULT_CSVTEST_ENDPOINT);
|
||||
if (!endpoint.isEmpty()) {
|
||||
conf.set(ENDPOINT, endpoint);
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* The exception to raise so as to exit fast from
|
||||
* {@link #eventually(int, Callable)}.
|
||||
|
|
|
|||
|
|
@ -133,6 +133,7 @@ public class TestS3AAWSCredentialsProvider {
|
|||
AnonymousAWSCredentialsProvider.class.getName());
|
||||
Path testFile = new Path(
|
||||
conf.getTrimmed(KEY_CSVTEST_FILE, DEFAULT_CSVTEST_FILE));
|
||||
S3ATestUtils.useCSVDataEndpoint(conf);
|
||||
FileSystem fs = FileSystem.newInstance(testFile.toUri(), conf);
|
||||
assertNotNull(fs);
|
||||
assertTrue(fs instanceof S3AFileSystem);
|
||||
|
|
|
|||
|
|
@ -82,13 +82,26 @@ public class S3AScaleTestBase extends Assert implements S3ATestConstants {
|
|||
*/
|
||||
public static final String KEY_CSVTEST_FILE =
|
||||
S3A_SCALE_TEST + "csvfile";
|
||||
|
||||
/**
|
||||
* Default path for the multi MB test file: {@value}.
|
||||
*/
|
||||
public static final String DEFAULT_CSVTEST_FILE
|
||||
= "s3a://landsat-pds/scene_list.gz";
|
||||
|
||||
/**
|
||||
* Endpoint for the S3 CSV/scale tests. This defaults to
|
||||
* being us-east.
|
||||
*/
|
||||
public static final String KEY_CSVTEST_ENDPOINT =
|
||||
S3A_SCALE_TEST + "csvfile.endpoint";
|
||||
|
||||
/**
|
||||
* Endpoint for the S3 CSV/scale tests. This defaults to
|
||||
* being us-east.
|
||||
*/
|
||||
public static final String DEFAULT_CSVTEST_ENDPOINT =
|
||||
"s3.amazonaws.com";
|
||||
|
||||
/**
|
||||
* The default number of operations to perform: {@value}.
|
||||
*/
|
||||
|
|
|
|||
|
|
@ -28,6 +28,7 @@ import org.apache.hadoop.fs.s3a.S3AFileSystem;
|
|||
import org.apache.hadoop.fs.s3a.S3AInputPolicy;
|
||||
import org.apache.hadoop.fs.s3a.S3AInputStream;
|
||||
import org.apache.hadoop.fs.s3a.S3AInstrumentation;
|
||||
import org.apache.hadoop.fs.s3a.S3ATestUtils;
|
||||
import org.apache.hadoop.io.IOUtils;
|
||||
import org.apache.hadoop.io.Text;
|
||||
import org.apache.hadoop.io.compress.CompressionCodec;
|
||||
|
|
@ -79,6 +80,7 @@ public class TestS3AInputStreamPerformance extends S3AScaleTestBase {
|
|||
assumptionMessage = "Empty test property: " + KEY_CSVTEST_FILE;
|
||||
testDataAvailable = false;
|
||||
} else {
|
||||
S3ATestUtils.useCSVDataEndpoint(conf);
|
||||
testData = new Path(testFile);
|
||||
Path path = this.testData;
|
||||
bindS3aFS(path);
|
||||
|
|
|
|||
Loading…
Reference in New Issue