Running requests via the percolate or mpercolate api is irrelevant.
What is relevant is that when nodes come back that they report the expected number of matches.
We fail today with ClusterBlockExceptions if an alias expands to a closed index
during search since we miss to check the index option down the road after we expanded
aliases.
Closes#13278
This commit removes and now forbids use of
org.apache.lucene.index.IndexWriter#isLocked as this method was
deprecated in LUCENE-6508. The deprecation is due to the fact that
checking if a lock is held before acquiring that lock is subject to a
time-of-check-to-time-of-use race condition. There were three uses of
IndexWriter#isLocked in the code base:
- a logging statement in o.e.i.e.InternalEngine where we are already in
an exceptional condition that the lock was held; in this case,
logging whether or not the directory is locked is superfluous
- in o.e.c.l.u.VersionsTests where we were verifying that a write lock
is released upon closing an IndexWriter; in this case, the check is
not needed as successfully closing an IndexWriter releases its
write lock
- in o.e.t.s.MockFSDirectoryService where we were verifying that a
directory is not write-locked before (implicitly) trying to obtain
such a write lock in org.apache.lucene.index.CheckIndex#<init> (this
is the exact type of a situation that is subject to a race
condition); in this case we can proceed by just (implicitly) trying
to obtain the write lock and failing if we encounter a
LockObtainFailedException
This commit reduces the former ShardIndexinService to a simple stats/metrics
class, moves IndexingSlowLog to the IndexService level since it can be shared
across shards of an index and is now hidden behind IndexingOperationListener.
IndexingOperationListener is now a first class citizen in IndexShard and is passed
in from IndexService.
It had some funky errors, like lenient:true not working and queries with
two integer fields blowing up if there was no analyzer defined on the
query. This throws a bunch more tests at it and rejiggers how non-strings
are handled so they don't wander off into scary QueryBuilder-land unless
they have a nice strong analyzer to protect them.
Closes#15860
It currently tries to align to the page size (16KB) by default. However, this
might waste a significant memory (if many BytesStreamOutputs are allocated)
and is also useless given that BytesStreamOutput does not recycle (on the
contrary to ReleasableBytesStreamOutput). So the initial size has been changed
to 0.
Closes#15789
This commit removes and now forbids all uses of
java.util.concurrent.ThreadLocalRandom across the codebase. The
underlying issue with ThreadLocalRandom is that it can not be
seeded. This means that if ThreadLocalRandom is used in production code,
then tests that cover any code path containing ThreadLocalRandom will be
prevented from being reproducible by use of ThreadLocalRandom. Instead,
using org.elasticsearch.common.random.Randomness#get will give
reproducible sources of random when running under tests and otherwise
still give an instance of ThreadLocalRandom when running as production
code.
On slow machines when this test randomly picks a large number of shards it can occasionally take more than 32.5 seconds to snapshot all shards. That is causing the test to miss the second to last assert in awaitsBusy at 32.5 seconds and then timeout in BlockingClusterStateListener at 60 seconds. Due to the timeout, the pending task queue is cleaned before the last awaitsBusy assert at 65 seconds and as a result the last assert runs on a completely empty queue and fails with a very confusing assert error.
This commit makes the timeout in BlockingClusterStateListener to occur after the last assert in assertBusyPendingTasks and therefore allows assertBusyPendingTasks to perform the last assert before cleaning the pending tasks queue takes place.
This commit also reduces the maximum number of shards used in the test to 10 in order to speed up this test.
We have a bug that makes all per-index bitset caches store bitsets for all
indices. In the case that you have many indices, which is fairly common with
time-based data, this could translate to a lot of wasted memory.
Closes#15820
Nik Everett
Clinton Gormley
Alexander Reelsen
Martijn van Groningen
Simon Willnauer
Simon Willnauer
David Pilato
Adrien Grand
Jason Tedor
Michael McCandless
Igor Motov
Britta Weber
Britta Weber