Protobuf 2.5 JAR is no longer needed at runtime.
The option common.protobuf.scope defines whether the protobuf 2.5.0
dependency is marked as provided or not.
* New package org.apache.hadoop.ipc.internal for internal only protobuf classes
...with a ShadedProtobufHelper in there which has shaded protobuf refs
only, so guaranteed not to need protobuf-2.5 on the CP
* All uses of org.apache.hadoop.ipc.ProtobufHelper have
been replaced by uses of org.apache.hadoop.ipc.internal.ShadedProtobufHelper
* The scope of protobuf-2.5 is set by the option common.protobuf2.scope
In this patch is it is still "compile"
* There is explicit reference to it in modules where it may be needed.
* The maven scope of the dependency can be set with the common.protobuf2.scope
option. It can be set to "provided" in a build:
-Dcommon.protobuf2.scope=provided
* Add new ipc(callable) method to catch and convert shaded protobuf
exceptions raised during invocation of the supplied lambda expression
* This is adopted in the code where the migration is not traumatically
over-complex. RouterAdminProtocolTranslatorPB is left alone for this
reason.
Contributed by Steve Loughran
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
In container-log4j.properties, log4j.appender.{APPENDER}.MaxFileSize is set to ${yarn.app.container.log.filesize}, but yarn.app.container.log.filesize is 0 in default. So log is missing. This log is always rolling and only show the latest log.
Jobs which commit their work to S3 thr
magic committer now use a unique magic
containing the job ID:
__magic_job-${jobid}
This allows for multiple jobs to write
to the same destination simultaneously.
Contributed by Syed Shameerur Rahman
