Adds a new option fs.s3a.s3express.create.session; default is true.
When false, this disables the CreateSession call to create/refresh temporary
session credentials when working with an Amazon S3 Express store.
This avoids having to give the caller the new IAM role permission,
at the expense of every remote call on the S3 Express store having to
include the latency of a checkup of IAM permissions.
* fs.s3a.s3express.create.session is set to false in tests which generate new
role permissions and call AssumeRole
* move ApiCallTimeoutException logic until after sdk exceptions get translated
to IOE. This lines up for any future AWS throwing up underlying cause here.
* Tests will automatically skip ACL, storage class, S3 Select or encryption tests
when target fs is S3Express.
* same for the out of order multipart uploader test cases, v1 listing.
* bucket tool s3 test treats invalid location error as a successful invocation
of the create bucket attempt
Contributed by Steve Loughran
This adds borad support for Amazon S3 Express One Zone to the S3A connector,
particularly resilience of other parts of the codebase to LIST operations returning
paths under which only in-progress uploads are taking place.
hadoop-common and hadoop-mapreduce treewalking routines all cope with this;
distcp is left alone.
There are still some outstanding followup issues, and we expect more to surface
with extended use.
Contains HADOOP-18955. AWS SDK v2: add path capability probe "fs.s3a.capability.aws.v2
* lets us probe for AWS SDK version
* bucket-info reports it
Contains HADOOP-18961 S3A: add s3guard command "bucket"
hadoop s3guard bucket -create -region us-west-2 -zone usw2-az2 \
s3a://stevel--usw2-az2--x-s3/
* requires -zone if bucket is zonal
* rejects it if not
* rejects zonal bucket suffixes if endpoint is not aws (safety feature)
* imperfect, but a functional starting point.
New path capability "fs.s3a.capability.zonal.storage"
* Used in tests to determine whether pending uploads manifest paths
* cli tests can probe for this
* bucket-info reports it
* some tests disable/change assertions as appropriate
----
Shell commands fail on S3Express buckets if pending uploads.
New path capability in hadoop-common
"fs.capability.directory.listing.inconsistent"
1. S3AFS returns true on a S3 Express bucket
2. FileUtil.maybeIgnoreMissingDirectory(fs, path, fnfe)
decides whether to swallow the exception or not.
3. This is used in: Shell, FileInputFormat, LocatedFileStatusFetcher
Fixes with tests
* fs -ls -R
* fs -du
* fs -df
* fs -find
* S3AFS.getContentSummary() (maybe...should discuss)
* mapred LocatedFileStatusFetcher
* Globber, HADOOP-15478 already fixed that when dealing with
S3 inconsistencies
* FileInputFormat
S3Express CreateSession request is permitted outside audit spans.
S3 Bulk Delete calls request the store to return the list of deleted objects
if RequestFactoryImpl is set to trace.
log4j.logger.org.apache.hadoop.fs.s3a.impl.RequestFactoryImpl=TRACE
Test Changes
* ITestS3AMiscOperations removes all tests which require unencrypted
buckets. AWS S3 defaults to SSE-S3 everywhere.
* ITestBucketTool to test new tool without actually creating new
buckets.
* S3ATestUtils add methods to skip test suites/cases if store is/is not
S3Express
* Cutting down on "is this a S3Express bucket" logic to trailing --x-s3 string
and not worrying about AZ naming logic. commented out relevant tests.
* ITestTreewalkProblems validated against standard and S3Express stores
Outstanding
* Distcp: tests show it fails. Proposed: release notes.
---
x-amz-checksum header not found when signing S3Express messages
This modifies the custom signer in ITestCustomSigner to be a subclass
of AwsS3V4Signer with a goal of preventing signing problems with
S3 Express stores.
----
RemoteFileChanged renaming multipart file
Maps 412 status code to RemoteFileChangedException
Modifies huge file tests
-Adds a check on etag match for stat vs list
-ITestS3AHugeFilesByteBufferBlocks renames parent dirs, rather than
files, to replicate distcp better.
----
S3Express custom Signing cannot handle bulk delete
Copy custom signer into production JAR, so enable downstream testing
Extend ITestCustomSigner to cover more filesystem operations
- PUT
- POST
- COPY
- LIST
- Bulk delete through delete() and rename()
- list + abort multipart uploads
Suite is parameterized on bulk delete enabled/disabled.
To use the new signer for a full test run:
<property>
<name>fs.s3a.custom.signers</name>
<value>CustomSdkSigner:org.apache.hadoop.fs.s3a.auth.CustomSdkSigner</value>
</property>
<property>
<name>fs.s3a.s3.signing-algorithm</name>
<value>CustomSdkSigner</value>
</property>
Increases existing pool sizes, as with server scale and vector
IO, larger pools are needed
fs.s3a.connection.maximum 200
fs.s3a.threads.max 96
Adds new configuration options for v2 sdk internal timeouts,
both with default of 60s:
fs.s3a.connection.acquisition.timeout
fs.s3a.connection.idle.time
All the pool/timoeut options are covered in performance.md
Moves all timeout/duration options in the s3a FS to taking
temporal units (h, m, s, ms,...); retaining the previous default
unit (normally millisecond)
Adds a minimum duration for most of these, in order to recover from
deployments where a timeout has been set on the assumption the unit
was seconds, not millis.
Uses java.time.Duration throughout the codebase;
retaining the older numeric constants in
org.apache.hadoop.fs.s3a.Constants for backwards compatibility;
these are now deprecated.
Adds new class AWSApiCallTimeoutException to be raised on
sdk-related methods and also gateway timeouts. This is a subclass
of org.apache.hadoop.net.ConnectTimeoutException to support
existing retry logic.
+ reverted default value of fs.s3a.create.performance to false;
inadvertently set to true during testing.
Contributed by Steve Loughran.
Add a new option:
fs.s3a.optimized.copy.from.local.enabled
This will enable (default) or disable the
optimized CopyFromLocalOperation upload operation
when copyFromLocalFile() is invoked.
When false the superclass implementation is used; duration
statistics are still collected, though audit span entries
in logs will be for the individual fs operations, not the
overall operation.
Contributed by Steve Loughran
If fs.s3a.create.performance is set on a bucket
- All file overwrite checks are skipped, even if the caller says
otherwise.
- All directory existence checks are skipped.
- Marker deletion is *always* skipped.
This eliminates a HEAD and a LIST for every creation.
* New path capability "fs.s3a.create.performance.enabled" true
if the option is enabled.
* Parameterize ITestS3AContractCreate to expect the different
outcomes
* Parameterize ITestCreateFileCost similarly, with
changed cost assertions there.
* create(/) raises an IOE. existing bug only noticed here.
Contributed by Steve Loughran
S3A directory delete and rename will optionally abort all pending multipart uploads
in their under their to-be-deleted paths when.
fs.s3a.directory.operations.purge.upload is true
It is off by default.
The filesystems hasPathCapability("fs.s3a.directory.operations.purge.upload")
probe will return true when this feature is enabled.
Multipart uploads may accrue from interrupted data writes, uncommitted
staging/magic committer jobs and other operations/applications. On AWS S3
lifecycle rules are the recommended way to clean these; this change improves
support for stores which lack these rules.
Contributed by Steve Loughran
This restores asynchronous retrieval/refresh of any AWS credentials provided by the
EC2 instance/container in which the process is running.
Contributed by Steve Loughran
S3A region logic improved for better inference and
to be compatible with previous releases
1. If you are using an AWS S3 AccessPoint, its region is determined
from the ARN itself.
2. If fs.s3a.endpoint.region is set and non-empty, it is used.
3. If fs.s3a.endpoint is an s3.*.amazonaws.com url,
the region is determined by by parsing the URL
Note: vpce endpoints are not handled by this.
4. If fs.s3a.endpoint.region==null, and none could be determined
from the endpoint, use us-east-2 as default.
5. If fs.s3a.endpoint.region=="" then it is handed off to
The default AWS SDK resolution process.
Consult the AWS SDK documentation for the details on its resolution
process, knowing that it is complicated and may use environment variables,
entries in ~/.aws/config, IAM instance information within
EC2 deployments and possibly even JSON resources on the classpath.
Put differently: it is somewhat brittle across deployments.
Contributed by Ahmar Suhail
Tune AWS v2 SDK changes based on testing with third party stores
including GCS.
Contains HADOOP-18889. S3A v2 SDK error translations and troubleshooting docs
* Changes needed to work with multiple third party stores
* New third_party_stores document on how to bind to and test
third party stores, including google gcs (which works!)
* Troubleshooting docs mostly updated for v2 SDK
Exception translation/resilience
* New AWSUnsupportedFeatureException for unsupported/unavailable errors
* Handle 501 method unimplemented as one of these
* Error codes > 500 mapped to the AWSStatus500Exception if no explicit
handler.
* Precondition errors handled a bit better
* GCS throttle exception also recognized.
* GCS raises 404 on a delete of a file which doesn't exist: swallow it.
* Error translation uses reflection to create IOE of the right type.
All IOEs at the bottom of an AWS stack chain are regenerated.
then a new exception of that specific type is created, with the top level ex
its cause. This is done to retain the whole stack chain.
* Reduce the number of retries within the AWS SDK
* And those of s3a code.
* S3ARetryPolicy explicitly declare SocketException as connectivity failure
but subclasses BindException
* SocketTimeoutException also considered connectivity
* Log at debug whenever retry policies looked up
* Reorder exceptions to alphabetical order, with commentary
* Review use of the Invoke.retry() method
The reduction in retries is because its clear when you try to create a bucket
which doesn't resolve that the time for even an UnknownHostException to
eventually fail over 90s, which then hit the s3a retry code.
- Reducing the SDK retries means these escalate to our code better.
- Cutting back on our own retries makes it a bit more responsive for most real
deployments.
- maybeTranslateNetworkException() and s3a retry policy means that
unknown host exception is recognised and fails fast.
Contributed by Steve Loughran
Jobs which commit their work to S3 thr
magic committer now use a unique magic
containing the job ID:
__magic_job-${jobid}
This allows for multiple jobs to write
to the same destination simultaneously.
Contributed by Syed Shameerur Rahman
* The multipart flag fs.s3a.multipart.uploads.enabled is passed to the async client created
* s3A connector bypasses the transfer manager entirely if disabled or for small files.
Contributed by Steve Loughran
This patch migrates the S3A connector to use the V2 AWS SDK.
This is a significant change at the source code level.
Any applications using the internal extension/override points in
the filesystem connector are likely to break.
This includes but is not limited to:
- Code invoking methods on the S3AFileSystem class
which used classes from the V1 SDK.
- The ability to define the factory for the `AmazonS3` client, and
to retrieve it from the S3AFileSystem. There is a new factory
API and a special interface S3AInternals to access a limited
set of internal classes and operations.
- Delegation token and auditing extensions.
- Classes trying to integrate with the AWS SDK.
All standard V1 credential providers listed in the option
fs.s3a.aws.credentials.provider will be automatically remapped to their
V2 equivalent.
Other V1 Credential Providers are supported, but only if the V1 SDK is
added back to the classpath.
The SDK Signing plugin has changed; all v1 signers are incompatible.
There is no support for the S3 "v2" signing algorithm.
Finally, the aws-sdk-bundle JAR has been replaced by the shaded V2
equivalent, "bundle.jar", which is now exported by the hadoop-aws module.
Consult the document aws_sdk_upgrade for the full details.
Contributed by Ahmar Suhail + some bits by Steve Loughran
Adds a class DelegationBindingInfo which contains binding info
beyond just the AWS credential list.
The binding class can be expanded when needed. Until then, all existing
implementations will work, as the new method
DelegationBindingInfo deploy(AbstractS3ATokenIdentifier retrievedIdentifier)
falls back to the original methods.
This modifies the manifest committer so that the list of files
to rename is passed between stages as a file of
writeable entries on the local filesystem.
The map of directories to create is still passed in memory;
this map is built across all tasks, so even if many tasks
created files, if they all write into the same set of directories
the memory needed is O(directories) with the
task count not a factor.
The _SUCCESS file reports on heap size through gauges.
This should give a warning if there are problems.
Contributed by Steve Loughran
This
1. changes the default value of fs.s3a.directory.marker.retention
to "keep"
2. no longer prints a message when an S3A FS instances is
instantiated with any option other than delete.
Switching to marker retention improves performance
on any S3 bucket as there are no needless marker DELETE requests
-leading to a reduction in write IOPS and and any delays waiting
for the DELETE call to finish.
There are *very* significant improvements on versioned buckets,
where tombstone markers slow down LIST operations: the more
tombstones there are, the worse query planning gets.
Having versioning enabled on production stores is the foundation
of any data protection strategy, so this has tangible benefits
in production.
It is *not* compatible with older hadoop releases; specifically
- Hadoop branch 2 < 2.10.2
- Any release of Hadoop 3.0.x and Hadoop 3.1.x
- Hadoop 3.2.0 and 3.2.1
- Hadoop 3.3.0
Incompatible releases have no problems reading data in stores
where markers are retained, but can get confused when deleting
or renaming directories.
If you are still using older versions to write to data, and cannot
yet upgrade, switch the option back to "delete"
Contributed by Steve Loughran
This:
1. Adds optLong, optDouble, mustLong and mustDouble
methods to the FSBuilder interface to let callers explicitly
passin long and double arguments.
2. The opt() and must() builder calls which take float/double values
now only set long values instead, so as to avoid problems
related to overloaded methods resulting in a ".0" being appended
to a long value.
3. All of the relevant opt/must calls in the hadoop codebase move to
the new methods
4. And the s3a code is resilient to parse errors in is numeric options
-it will downgrade to the default.
This is nominally incompatible, but the floating-point builder methods
were never used: nothing currently expects floating point numbers.
For anyone who wants to safely set numeric builder options across all compatible
releases, convert the number to a string and then use the opt(String, String)
and must(String, String) methods.
Contributed by Steve Loughran
Explicitly sets the fs.s3a.endpoint.region to eu-west-1 so
the ARN-referenced fs creation fails with unknown store
rather than IllegalArgumentException.
Steve Loughran
This has triggered an OOM in a process which was churning through s3a fs
instances; the increased memory footprint of IOStatistics amplified what
must have been a long-standing issue with FS instances being created
and not closed()
* Makes sure instrumentation is closed when the FS is closed.
* Uses a weak reference from metrics to instrumentation, so even
if the FS wasn't closed (see HADOOP-18478), this back reference
would not cause the S3AInstrumentation reference to be retained.
* If S3AFileSystem is configured to log at TRACE it will log the
calling stack of initialize(), so help identify where the
instance is being created. This should help track down
the cause of instance leakage.
Contributed by Steve Loughran.
This fixes a race condition with the TemporaryAWSCredentialProvider
one which has existed for a long time but which only surfaced
(usually in Spark) when the bucket existence probe was disabled
by setting fs.s3a.bucket.probe to 0 -a performance speedup
which was made the default in HADOOP-17454.
Contributed by Jimmy Wong.
The option "fs.s3a.proxy.ssl.enabled" controls
whether the s3a connects to a proxy over HTTP (default) or HTTPS.
Set to "true" to use HTTPS.
Contributed by Mehakmeet Singh
The AWS SDKV2 upgrade log no longer warns about instantiation
of the v1 SDK credential providers which are commonly used in
s3a configurations:
* com.amazonaws.auth.EnvironmentVariableCredentialsProvider
* com.amazonaws.auth.EC2ContainerCredentialsProviderWrapper
* com.amazonaws.auth.InstanceProfileCredentialsProvider
When the hadoop-aws module moves to the v2 SDK, references to these
credential providers will be rewritten to their v2 equivalents.
Follow-on to HADOOP-18382. "Upgrade AWS SDK to V2 - Prerequisites"
Contributed by Ahmar Suhail
Make S3APrefetchingInputStream.seek() completely lazy. Calls to seek() will not affect the current buffer nor interfere with prefetching, until read() is called.
This change allows various usage patterns to benefit from prefetching, e.g. when calling readFully(position, buffer) in a loop for contiguous positions the intermediate internal calls to seek() will be noops and prefetching will have the same performance as in a sequential read.
Contributed by Alessandro Passaro.
part of HADOOP-18103.
Also introducing a config fs.s3a.vectored.active.ranged.reads
to configure the maximum number of number of range reads a
single input stream can have active (downloading, or queued)
to the central FileSystem instance's pool of queued operations.
This stops a single stream overloading the shared thread pool.
Contributed by: Mukund Thakur
part of HADOOP-18103.
While merging the ranges in CheckSumFs, they are rounded up based on the
value of checksum bytes size which leads to some ranges crossing the EOF
thus they need to be fixed else it will cause EOFException during actual reads.
Contributed By: Mukund Thakur
Follow-up to HADOOP-12020 Support configuration of different S3 storage classes;
S3 storage class is now set when buffering to heap/bytebuffers, and when
creating directory markers
Contributed by Monthon Klongklaew
HADOOP-16202 "Enhance openFile()" added asynchronous draining of the
remaining bytes of an S3 HTTP input stream for those operations
(unbuffer, seek) where it could avoid blocking the active
thread.
This patch fixes the asynchronous stream draining to work and so
return the stream back to the http pool. Without this, whenever
unbuffer() or seek() was called on a stream and an asynchronous
drain triggered, the connection was not returned; eventually
the pool would be empty and subsequent S3 requests would
fail with the message "Timeout waiting for connection from pool"
The root cause was that even though the fields passed in to drain() were
converted to references through the methods, in the lambda expression
passed in to submit, they were direct references
operation = client.submit(
() -> drain(uri, streamStatistics,
false, reason, remaining,
object, wrappedStream)); /* here */
Those fields were only read during the async execution, at which
point they would have been set to null (or even a subsequent read).
A new SDKStreamDrainer class peforms the draining; this is a Callable
and can be submitted directly to the executor pool.
The class is used in both the classic and prefetching s3a input streams.
Also, calling unbuffer() switches the S3AInputStream from adaptive
to random IO mode; that is, it is considered a cue that future
IO will not be sequential, whole-file reads.
Contributed by Steve Loughran.
This patch prepares the hadoop-aws module for a future
migration to using the v2 AWS SDK (HADOOP-18073)
That upgrade will be incompatible; this patch prepares
for it:
-marks some credential providers and other
classes and methods as @deprecated.
-updates site documentation
-reduces the visibility of the s3 client;
other than for testing, it is kept private to
the S3AFileSystem class.
-logs some warnings when deprecated APIs are used.
The warning messages are printed only once
per JVM's life. To disable them, set the
log level of org.apache.hadoop.fs.s3a.SDKV2Upgrade
to ERROR
Contributed by Ahmar Suhail
This is the the preview release of the HADOOP-18028 S3A performance input stream.
It is still stabilizing, but ready to test.
Contains
HADOOP-18028. High performance S3A input stream (#4109)
Contributed by Bhalchandra Pandit.
HADOOP-18180. Replace use of twitter util-core with java futures (#4115)
Contributed by PJ Fanning.
HADOOP-18177. Document prefetching architecture. (#4205)
Contributed by Ahmar Suhail
HADOOP-18175. fix test failures with prefetching s3a input stream (#4212)
Contributed by Monthon Klongklaew
HADOOP-18231. S3A prefetching: fix failing tests & drain stream async. (#4386)
* adds in new test for prefetching input stream
* creates streamStats before opening stream
* updates numBlocks calculation method
* fixes ITestS3AOpenCost.testOpenFileLongerLength
* drains stream async
* fixes failing unit test
Contributed by Ahmar Suhail
HADOOP-18254. Disable S3A prefetching by default. (#4469)
Contributed by Ahmar Suhail
HADOOP-18190. Collect IOStatistics during S3A prefetching (#4458)
This adds iOStatisticsConnection to the S3PrefetchingInputStream class, with
new statistic names in StreamStatistics.
This stream is not (yet) IOStatisticsContext aware.
Contributed by Ahmar Suhail
HADOOP-18379 rebase feature/HADOOP-18028-s3a-prefetch to trunk
HADOOP-18187. Convert s3a prefetching to use JavaDoc for fields and enums.
HADOOP-18318. Update class names to be clear they belong to S3A prefetching
Contributed by Steve Loughran
JobID.toString() and TaskID.toString() to only be called
when the IDs are not null.
This doesn't surface in MapReduce, but Spark SQL can trigger
in job abort, where it may invok abortJob() with an
incomplete TaskContext.
This patch MUST be applied to branches containing
HADOOP-17833. "Improve Magic Committer Performance."
Contributed by Steve Loughran.
jobId.toString() to only be called when the ID isn't null.
this doesn't surface in MR, but spark seems to manage it
Change-Id: I06692ef30a4af510c660d7222292932a8d4b5147
The name of the option to enable/disable thread level statistics is
"fs.iostatistics.thread.level.enabled";
There is also an enabled() probe in IOStatisticsContext which can
be used to see if the thread level statistics is active.
Contributed by Viraj Jasani
Fixes CVE-2018-7489 in shaded jackson.
+Add more commands in testing.md
to the CLI tests needed when qualifying
a release
Contributed by Steve Loughran
This adds a thread-level collector of IOStatistics, IOStatisticsContext,
which can be:
* Retrieved for a thread and cached for access from other
threads.
* reset() to record new statistics.
* Queried for live statistics through the
IOStatisticsSource.getIOStatistics() method.
* Queries for a statistics aggregator for use in instrumented
classes.
* Asked to create a serializable copy in snapshot()
The goal is to make it possible for applications with multiple
threads performing different work items simultaneously
to be able to collect statistics on the individual threads,
and so generate aggregate reports on the total work performed
for a specific job, query or similar unit of work.
Some changes in IOStatistics-gathering classes are needed for
this feature
* Caching the active context's aggregator in the object's
constructor
* Updating it in close()
Slightly more work is needed in multithreaded code,
such as the S3A committers, which collect statistics across
all threads used in task and job commit operations.
Currently the IOStatisticsContext-aware classes are:
* The S3A input stream, output stream and list iterators.
* RawLocalFileSystem's input and output streams.
* The S3A committers.
* The TaskPool class in hadoop-common, which propagates
the active context into scheduled worker threads.
Collection of statistics in the IOStatisticsContext
is disabled process-wide by default until the feature
is considered stable.
To enable the collection, set the option
fs.thread.level.iostatistics.enabled
to "true" in core-site.xml;
Contributed by Mehakmeet Singh and Steve Loughran
part of HADOOP-18103.
Handling memory fragmentation in S3A vectored IO implementation by
allocating smaller user range requested size buffers and directly
filling them from the remote S3 stream and skipping undesired
data in between ranges.
This patch also adds aborting active vectored reads when stream is
closed or unbuffer() is called.
Contributed By: Mukund Thakur
Part of HADOOP-18103.
Introducing fs.s3a.vectored.read.min.seek.size and fs.s3a.vectored.read.max.merged.size
to configure min seek and max read during a vectored IO operation in S3A connector.
These properties actually define how the ranges will be merged. To completely
disable merging set fs.s3a.max.readsize.vectored.read to 0.
Contributed By: Mukund Thakur
