In our pre-1.0 API, HTable is considered a light-weight object that consumed by
a single thread at a time. The HTablePool class provided a means of sharing
multiple HTable instances across a number of threads. As an optimization,
HTable managed a "write buffer", accumulating edits and sending a "batch" all
at once. By default the batch was sent as the last step in invocations of
put(Put) and put(List<Put>). The user could disable the automatic flushing of
the write buffer, retaining edits locally and only sending the whole "batch"
once the write buffer has filled or when the flushCommits() method in invoked
explicitly. Explicit or implicit batch writing was controlled by the
setAutoFlushTo(boolean) method. A value of true (the default) had the write
buffer flushed at the completion of a call to put(Put) or put(List<Put>). A
value of false allowed for explicit buffer management. HTable also exposed the
buffer to consumers via getWriteBuffer().
The combination of HTable with setAutoFlushTo(false) and the HTablePool
provided a convenient mechanism by which multiple "Put-producing" threads could
share a common write buffer. Both HTablePool and HTable are deprecated, and
they are officially replaced in The new 1.0 API by Table and BufferedMutator.
Table, which replaces HTable, no longer exposes explicit write-buffer
management. Instead, explicit buffer management is exposed via BufferedMutator.
BufferedMutator is made safe for concurrent use. Where code would previously
retrieve and return HTables from an HTablePool, now that code creates and
shares a single BufferedMutator instance across all threads.
Instead of just blocking the client for 90 seconds when the region gets too
busy, it now sends along region load stats to the client so the client can
know how busy the server is. Currently, its just the load on the memstore, but
it can be extended for other stats (e.g. cpu, general memory, etc.).
It is then up to the client to decide if it wants to listen to these stats.
By default, the client ignores the stats, but it can easily be toggled to the
built-in exponential back-off or users can plug in their own back-off
implementations
HConnection#getTable (0.98, 0.99)
Replaced HTable under hbase-*/src/main/java. Skipped tests. Would take
till end of time to do all and some cases are cryptic. Also skipped
some mapreduce where HTable comes through in API. Can do both of
these stragglers in another issue.
Generally, if a utility class or standalone class, tried to pass in a
Connection rather than have the utility or standalone create its own
connection on each invocation; e.g. the Quota stuff. Where not possible,
noted where invocation comes from... if test or hbck, didn't worry about
it.
Some classes are just standalone and nothing to be done to avoid
a Connection setup per invocation (this is probably how it worked
in the new HTable...days anyways). Some classes are not used:
AggregationClient, FavoredNodes... we should just purge this stuff.
Doc on what short circuit connection does (I can just use it...
I thought it was just for short circuit but no, it switches dependent
on where you are connecting).
Changed HConnection to super Interface ClusterConnection where safe (
internal usage by private classes only).
Doc cleanup in example usage so we do new mode rather than the old
fashion.
Used java7 idiom that allows you avoid writing out finally to call close
on implementations of Closeable.
Added a RegistryFactory.. moved it out from being inner class.
Added a utility createGetClosestRowOrBeforeReverseScan method to Scan
to create a Scan that can ...
Renamed getShortCircuitConnection as getConnection – users don't need
to know what implementation does (that it can short-circuit RPC).
The old name gave pause. I was frightened to use it thinking it only
for short-circuit reading – that it would not do remote too.
Squashed commit of the following:
Move from HConnection to ClusterConnection or Connection
Use unmanaged connections where we use managed previous
(used the jdk7 https://docs.oracle.com/javase/7/docs/technotes/guides/language/try-with-resources.html idiom).
In ZKConfig, synchronize on Configuration rather than make a copy.
Making a copy we were dropping hbase configs in certain test context
(could not find the zk ensemble because default port).
In tests, some move to the new style connection setup but mostly
fixes for premature connection close or adding cleanup where it
was lacking.
Incompatible changes called out in release notes on jira.
* Cleaned up references to HLog
* Deprecates HLogKey but maintains it for compatibility
- Moves all Writeable from WALKey to HLogKey
* Adds utility code to CoprocessorHost to help with evolving Coprocessor APIs
* RSRpcServices roll WAL call now requests the non-meta LogRoller roll all logs
- rolls actually happen asynchronously
- deprecated old api (and noted incompatible behavior change)
- modified api in new Admin interface to reflect lack of return values.
* Moved WAL user facing API to "WAL"
- only 1 sync offered
- WALTrailer removed from API
* make provider used by the WALFactory configurable.
* Move all WAL requests to use opaque ids instead of paths
* WALProvider provides API details for implementers and handles creation of WALs.
* Refactor WALActionsListener to have a basic implementation.
* turn MetricsWAL into a WALActionsListener.
* tests that needs FSHLog implementation details use them directly, others just reference provider + factory
- Some tests moved from Large to Medium based on run time.
* pull out wal disabling into its own no-op class
* update region open to delegate to WALFactory
* update performance test tool to allow for multiple regions
* Removed references to meta-specific wals within wal code
- replaced with generic suffixes
- WALFactory maintains a dedicated WALProvider for meta (and so knows about the distinction)
* maintain backwards compat on HLogPrettyPrinter and mark it deprecated.
- made WALPrettyPrinter IA.Private in favor of `bin/hbase wal`
* move WALUtil stuff that's implementation specific to said implementation
- WALUtil now acts as an integration point between the RegionServer and hte WAL code.
Incorporates contributions from v.himanshu.
Signed-off-by: stack <stack@apache.org>
Summary: This diff ports the Preemptive Fast Fail feature to OSS. In multi threaded clients, we use a feature developed on 0.89-fb branch called Preemptive Fast Fail. This allows the client threads which would potentially fail, fail fast. The idea behind this feature is that we allow, among the hundreds of client threads, one thread to try and establish connection with the regionserver and if that succeeds, we mark it as a live node again. Meanwhile, other threads which are trying to establish connection to the same server would ideally go into the timeouts which is effectively unfruitful. We can in those cases return appropriate exceptions to those clients instead of letting them retry.
Test Plan: Unit tests
Differential Revision: https://reviews.facebook.net/D24177
Signed-off-by: stack <stack@apache.org>
Summary: This is a follow up diff for the jira to add the functionality to update configs in an online fashion.
Test Plan: Unit test. This adds an end point on the regionserver. It just tries to call the end point and make sure the call succeeds.
Differential Revision: https://reviews.facebook.net/D24861
Signed-off-by: stack <stack@apache.org>
Summary: # Clear the cache of the server when failed
Test Plan: Add testcase `TestHTableMultiplexerFlushCache` to reproduce the bug.
Differential Revision: https://reviews.facebook.net/D24603
Signed-off-by: Elliott Clark <elliott@fb.com>
Signed-off-by: Elliott Clark <eclark@apache.org>
Fix javadoc warnings.
Fixup findbugs warnings mostly by adding annotations saying 'working as expected'.
In RpcRetryingCallerWithReadReplicas made following change which findbugs spotted:
- if (completed == null) tasks.wait();
+ while (completed == null) tasks.wait();
In RecoverableZooKeeper, made all zk accesses synchronized -- we were doing it
half-ways previously.
In RatioBasedCompactionPolicy we were making an instance of Random on
each invocation of getNextMajorCompactionTime
Devaraj Das
zhangduo
stack
Lars Hofhansl
tedyu
Enis Soztutar
Jurriaan Mous
Nick Dimiduk
Andrew Purtell
Sean Busbey
Misty Stanley-Jones
Esteban Gutierrez
Jesse Yates
Matteo Bertozzi
Gary Helmling
Ramkrishna
Jeffrey Zhong
Srikanth Srungarapu
Ashish Singhi
manukranthk
Elliott Clark
Ted Yu
Jimmy Xiang
Yi Deng
anoopsjohn