* HADOOP-18321.Fix when to read an additional record from a BZip2 text file split
Co-authored-by: Ashutosh Gupta <ashugpt@amazon.com> and Reviewed by Akira Ajisaka.
(cherry picked from commit a432925f74)
Partial/Incomplete groups list can be returned in LDAP groups lookup.
Backported in #4550; minor tuning of parameters needed.
Contributed by larry mccay
Reduce the ExitUtil synchronized block scopes so System.exit
and Runtime.halt calls aren't within their boundaries,
so ExitUtil wrappers do not block each other.
Enlarged catches to all Throwables (not just Exceptions).
Contributed by Remi Catherinot
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
Conflicts:
hadoop-common-project/hadoop-common/src/main/java/org/apache/hadoop/fs/RawLocalFileSystem.java
part of HADOOP-18103.
Required for vectored IO feature. None of current buffer pool
implementation is complete. ElasticByteBufferPool doesn't use
weak references and could lead to memory leak errors and
DirectBufferPool doesn't support caller preferences of direct
and heap buffers and has only fixed length buffer implementation.
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
part of HADOOP-18103.
Add support for multiple ranged vectored read api in PositionedReadable.
The default iterates through the ranges to read each synchronously,
but the intent is that FSDataInputStream subclasses can make more
efficient readers especially in object stores implementation.
Also added implementation in S3A where smaller ranges are merged and
sliced byte buffers are returned to the readers. All the merged ranged are
fetched from S3 asynchronously.
Contributed By: Owen O'Malley and Mukund Thakur
Conflicts:
hadoop-common-project/hadoop-common/src/main/java/org/apache/hadoop/fs/RawLocalFileSystem.java
pom.xml
Speed up the magic committer with key changes being
* Writes under __magic always retain directory markers
* File creation under __magic skips all overwrite checks,
including the LIST call intended to stop files being
created over dirs.
* mkdirs under __magic probes the path for existence
but does not look any further.
Extra parallelism in task and job commit directory scanning
Use of createFile and openFile with parameters which all for
HEAD checks to be skipped.
The committer can write the summary _SUCCESS file to the path
`fs.s3a.committer.summary.report.directory`, which can be in a
different file system/bucket if desired, using the job id as
the filename.
Also: HADOOP-15460. S3A FS to add `fs.s3a.create.performance`
Application code can set the createFile() option
fs.s3a.create.performance to true to disable the same
safety checks when writing under magic directories.
Use with care.
The createFile option prefix `fs.s3a.create.header.`
can be used to add custom headers to S3 objects when
created.
Contributed by Steve Loughran.
This defines standard option and values for the
openFile() builder API for opening a file:
fs.option.openfile.read.policy
A list of the desired read policy, in preferred order.
standard values are
adaptive, default, random, sequential, vector, whole-file
fs.option.openfile.length
How long the file is.
fs.option.openfile.split.start
start of a task's split
fs.option.openfile.split.end
end of a task's split
These can be used by filesystem connectors to optimize their
reading of the source file, including but not limited to
* skipping existence/length probes when opening a file
* choosing a policy for prefetching/caching data
The hadoop shell commands which read files all declare "whole-file"
and "sequential", as appropriate.
Contributed by Steve Loughran.
Change-Id: Ia290f79ea7973ce8713d4f90f1315b24d7a23da1
To get the new behavior, define fs.viewfs.trash.force-inside-mount-point to be true.
If the trash root for path p is in the same mount point as path p,
and one of:
* The mount point isn't at the top of the target fs.
* The resolved path of path is root (eg it is the fallback FS).
* The trash root isn't in user's target fs home directory.
get the corresponding viewFS path for the trash root and return it.
Otherwise, use <mnt>/.Trash/<user>.
Signed-off-by: Owen O'Malley <oomalley@linkedin.com>
(cherry picked from commit 8b8158f02d)
Co-authored-by: Xing Lin <xinglin@linkedin.com>
Optimize the scan for s3 by performing a deep tree listing,
inferring directory counts from the paths returned.
Contributed by Ahmar Suhail.
Change-Id: I26ffa8c6f65fd11c68a88d6e2243b0eac6ffd024
* New statistic names in StoreStatisticNames
(for joint use with s3a committers)
* Improvements to IOStatistics implementation classes
* RateLimiting wrapper to guava RateLimiter
* S3A committer Tasks moved over as TaskPool and
added support for RemoteIterator
* JsonSerialization.load() to fail fast if source does not exist
+ tests.
This commit is a prerequisite for the main MAPREDUCE-7341 Manifest Committer
patch.
Contributed by Steve Loughran
Change-Id: Ia92e2ab5083ac3d8d3d713a4d9cb3e9e0278f654
(cherry picked from commit d0fa9b5775)
Conflicts:
hadoop-common-project/hadoop-common/src/main/java/org/apache/hadoop/fs/FileUtil.java
hadoop-common-project/hadoop-common/src/test/java/org/apache/hadoop/fs/TestFileUtil.java
Co-authored-by: Gautham B A <gautham.bangalore@gmail.com>
Multi object delete of size more than 1000 is not supported by S3 and
fails with MalformedXML error. So implementing paging of requests to
reduce the number of keys in a single request. Page size can be configured
using "fs.s3a.bulk.delete.page.size"
Contributed By: Mukund Thakur
Adds a new map type WeakReferenceMap, which stores weak
references to values, and a WeakReferenceThreadMap subclass
to more closely resemble a thread local type, as it is a
map of threadId to value.
Construct it with a factory method and optional callback
for notification on loss and regeneration.
WeakReferenceThreadMap<WrappingAuditSpan> activeSpan =
new WeakReferenceThreadMap<>(
(k) -> getUnbondedSpan(),
this::noteSpanReferenceLost);
This is used in ActiveAuditManagerS3A for span tracking.
Relates to
* HADOOP-17511. Add an Audit plugin point for S3A
* HADOOP-18094. Disable S3A auditing by default.
Contributed by Steve Loughran.
Change-Id: Ibf7bb082fd47298f7ebf46d92f56e80ca9b2aaf8
