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
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
* 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.
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.
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
Regression caused by HDFS-16563; the hdfs exception text was changed, but because it was
a YARN test doing the check, Yetus didn't notice.
Contributed by zhengchenyu
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.
* Add the changelog and release notes
* add all jdiff XML files
* update the project pom with the new stable version
Change-Id: Iaea846c3e451bbd446b45de146845a48953d580d
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
* HADOOP-18172: Change scope of InodeTree and its member methods to make them accessible from outside package.
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
RBF proxy. There is a new configuration knob dfs.namenode.ip-proxy-users that configures
the list of users than can set their client ip address using the client context.
Fixes#4081
* 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
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>
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.
Completely removes S3Guard support from the S3A codebase.
If the connector is configured to use any metastore other than
the null and local stores (i.e. DynamoDB is selected) the s3a client
will raise an exception and refuse to initialize.
This is to ensure that there is no mix of S3Guard enabled and disabled
deployments with the same configuration but different hadoop releases
-it must be turned off completely.
The "hadoop s3guard" command has been retained -but the supported
subcommands have been reduced to those which are not purely S3Guard
related: "bucket-info" and "uploads".
This is major change in terms of the number of files
changed; before cherry picking subsequent s3a patches into
older releases, this patch will probably need backporting
first.
Goodbye S3Guard, your work is done. Time to die.
Contributed by Steve Loughran.
This switches the default behavior of S3A output streams
to warning that Syncable.hsync() or hflush() have been
called; it's not considered an error unless the defaults
are overridden.
This avoids breaking applications which call the APIs,
at the risk of people trying to use S3 as a safe store
of streamed data (HBase WALs, audit logs etc).
Contributed by Steve Loughran.
Add support for S3 Access Points. This provides extra security as it
ensures applications are not working with buckets belong to third parties.
To bind a bucket to an access point, set the access point (ap) ARN,
which must be done for each specific bucket, using the pattern
fs.s3a.bucket.$BUCKET.accesspoint.arn = ARN
* The global/bucket option `fs.s3a.accesspoint.required` to
mandate that buckets must declare their access point.
* This is not compatible with S3Guard.
Consult the documentation for further details.
Contributed by Bogdan Stolojan
Addresses the problem of processes running out of memory when
there are many ABFS output streams queuing data to upload,
especially when the network upload bandwidth is less than the rate
data is generated.
ABFS Output streams now buffer their blocks of data to
"disk", "bytebuffer" or "array", as set in
"fs.azure.data.blocks.buffer"
When buffering via disk, the location for temporary storage
is set in "fs.azure.buffer.dir"
For safe scaling: use "disk" (default); for performance, when
confident that upload bandwidth will never be a bottleneck,
experiment with the memory options.
The number of blocks a single stream can have queued for uploading
is set in "fs.azure.block.upload.active.blocks".
The default value is 20.
Contributed by Mehakmeet Singh.
* HDFS-16129. Fixing the signature secret file misusage in HttpFS.
The signature secret file was not used in HttpFs.
- if the configuration did not contain the deprecated
httpfs.authentication.signature.secret.file option then it
used the random secret provider
- if both option (httpfs. and hadoop.http.) was set then
the HttpFSAuthenticationFilter could not read the file
because the file path was not substituted properly
!NOTE! behavioral change: the deprecated httpfs. configuration
values are overwritten with the hadoop.http. values.
The commit also contains a follow up change to the YARN-10814,
empty secret files will result in a random secret provider.
Co-authored-by: Tamas Domok <tdomok@cloudera.com>
This adds a new class org.apache.hadoop.util.Preconditions which is
* @Private/@Unstable
* Intended to allow us to move off Google Guava
* Is designed to be trivially backportable
(i.e contains no references to guava classes internally)
Please use this instead of the guava equivalents, where possible.
Contributed by: Ahmed Hussein
Change-Id: Ic392451bcfe7d446184b7c995734bcca8c07286e
