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
The default value for fs.azure.data.blocks.buffer is changed from "disk" to "bytebuffer"
This will speed up writing to azure storage, at the risk of running out of memory
-especially if there are many threads writing to abfs at the same time and the
upload bandwidth is limited.
If jobs do run out of memory writing to abfs, change the option back to "disk"
Contributed by Anmol Asrani
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
All uses of jersey-json in the yarn and other hadoop modules now
exclude the obsolete org.codehaus.jettison/jettison and so avoid
all security issues which can come from the library.
Contributed by PJ Fanning
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.
To avoid the ABFS instance getting closed due to GC while the streams are working, attach the ABFS instance to a backReference opaque object and passing down to the streams so that we have a hard reference while the streams are working.
Contributed by: Mehakmeet Singh
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
