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
Avoid reconnecting to the old address after detecting that the address has been updated.
* Fix Checkstyle line length violation
* Keep ConnectionId as Immutable for map key
The ConnectionId is used as a key in the connections map, and updating the remoteId caused problems with the cleanup of connections when the removeMethod was used.
Instead of updating the address within the remoteId, use the removeMethod to cleanup references to the current identifier and then replace it with a new identifier using the updated address.
* Use final to protect immutable ConnectionId
Mark non-test fields as private and final, and add a missing accessor.
* Use a stable hashCode to allow safe IP addr changes
* Add test that updated address is used
Once the address has been updated, it should be used in future calls. Check to ensure that a second request succeeds and that it uses the existing updated address instead of having to re-resolve.
Signed-off-by: Nick Dimiduk <ndimiduk@apache.org>
Signed-off-by: sokui
Signed-off-by: XanderZu
Signed-off-by: stack <stack@apache.org>
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
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
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
