- Previously, when shorting on an aggregate function the bucket
processing ended early when the explicit (LIMIT XXX) or the impliciti
limit of 512 was reached. As a consequence, only a set of grouping
buckets was processed and the results returned didn't reflect the global
ordering.
- Previously, the priority queue shorting method had an inverse
comparison check and the final response from the priority queue was also
returned in the inversed order because of the calls to the `pop()`
method.
Fixes: #42851
(cherry picked from commit 19909edcfdf5792b38c1363b07379783ebd0e6c4)
The machine learning feature of xpack has native binaries with a
different commit id than the rest of code. It is currently exposed in
the xpack info api. This commit adds that commit information to the ML
info api, so that it may be removed from the info api.
Previously 10 digit numbers were considered candidates to be
timestamps recorded as seconds since the epoch and 13 digit
numbers as timestamps recorded as milliseconds since the epoch.
However, this meant that we could detect these formats for
numbers that would represent times far in the future. As an
example ISBN numbers starting with 9 were detected as milliseconds
since the epoch since they had 13 digits.
This change tweaks the logic for detecting such timestamps to
require that they begin with 1 or 2. This means that numbers
that would represent times beyond about 2065 are no longer
detected as epoch timestamps. (We can add 3 to the definition
as we get closer to the cutoff date.)
A search request that partially fails with failures without an index
(index: null) in the failure would cause a parse error in reindex from
remote. This would hide the original exception, making it hard to debug
the root cause. This commit fixes this so that we can tolerate null
index entries in a search failure.
Given the significant performance impact that NIOFS has when term dicts are
loaded off-heap this change enforces FstLoadMode#AUTO that loads term dicts
off heap only if the underlying index input indicates a memory map.
Relates to #43150
Infra has fixed#10462 by installing `haveged` on CI workers.
This commit enables the disabled fixture and tests, and mounts
`/dev/urandom` for the container so there is enough
entropy required for kdc.
Note: hdfs-repository tests have been disabled, will raise a separate issue for it.
Closes#40624Closes#40678
As the ValuesSourceType evolves, it is important to be
confident that new enum constants do not break
backwards-compatibility on the stream. Having dedicated
unit tests for this class will help be sure of that.
* [ML][Data Frame] cleaning up usage test since tasks are cancelled onfinish
* Update DataFrameUsageIT.java
* Fixing additional test, waiting for task to complete
* removing unused import
* unmuting test
This change adds the terms index (`.tip`) to the list of extensions
that are memory-mapped by hybridfs. These files used to be accessed
only once to load the terms index on-heap but since #42838 they can
now be used to read the binary FST directly so it is benefical to
memory-map them instead of accessing them via NIO.
Fixes an issue where tests would sometimes hang for 5 seconds when restarting a node. The reason
is that the SeedHostsResolver is blockingly waiting on a result for the full 5 seconds when the
corresponding threadpool is shut down.
We are still using `FileSwitchDirectory` in the case a user configures file based pre-load of mmaps. This is trappy for multiple reasons if the both directories used by `FileSwitchDirectory` point to the same filesystem directory. One issue is LUCENE-8835 that cause issues like #37111 - unless LUCENE-8835 isn't fixed we should not use it in elasticsearch. Instead we use a similar trick as we use for HybridFS and subclass mmap directory directly.
This commit fixes a race in the test for the new response format with
search templates. The test indexes a document and then executes a
search with the expectation of 0 results. In some instances, the index
will refresh prior to the search execution and 1 hit will be found
causing the test fail.
Closes#42664
The painless context api is internal and currently meant only for use in
generating docs. This commit moves the spec file for the api so that it
is only used by the test for this api, and not externally by any clients
building from the public rest spec.
When set to false, allowPartialSearchResults option does not check if the
shard failures have been reseted to null. The atomic array, that is used to record
shard failures, is filled with a null value if a successful request on a shard happens
after a failure on a shard of another replica. In this case the atomic array is not empty
but contains only null values so this shouldn't be considered as a failure since all
shards are successful (some replicas have failed but the retries on another replica succeeded).
This change fixes this bug by checking the content of the atomic array and fails the request only
if allowPartialSearchResults is set to false and at least one shard failure is not null.
Closes#40743
Currently suggesters return null values on empty shards. Usually this gets replaced
by results from other non-epmty shards, but if the index is completely epmty (e.g. after
creation) the search responses "suggest" is also "null" and we don't render a corresponding
output in the REST response. This is an irritating edge case that requires special handling on
the user side (see #42473) and should be fixed.
This change makes sure every suggester type (completion, terms, phrase) returns at least an
empty skeleton suggestion output, even for empty shards. This way, even if we don't find
any suggestions anywhere, we still return and output the empty suggestion.
Closes#42473
Fixes an issue where repositories are unintentionally shared among tests (given that the repo contents is captured in a static variable on the test class, to allow "sharing" among nodes) and two tests randomly chose the same snapshot name, leading to a conflict.
Closes#42519
When a search on some indices takes a long time, it may cause problems to other indices that are being searched as part of the same search request and being written to as well, because their search context needs to stay open for a long time. This is especially a problem when searching against throttled and non-throttled indices as part of the same request. The problem can be generalized though: this may happen whenever read-only indices are searched together with indices that are being written to. Search contexts staying open for a long time is only an issue for indices that are being written to, in practice.
This commit splits the search in two sub-searches: one for read-only indices, and one for ordinary indices. This way the two don't interfere with each other. The split is done only when size is greater than 0, no scroll is provided and query_then_fetch is used as search type. Otherwise, the search executes like before. Note that the returned num_reduce_phases reflect the number of reduction phases that were run. If the search is split in two, there are three reductions: one non-final for each search, and a final one that merges the results of the previous two.
Closes#40900
The SearchRequest#crossClusterSearch method is currently used only as
part of cross cluster search request, when minimizing roundtrips.
It will soon be used also when splitting a search into two: one for
throttled and one for non throttled indices. It will probably be used
for other usecases as well in the future, hence it makes sense to generalize its name to subSearchRequest.
Now emphasises the test is for indexed values.
Previous documentation only mentioned the state of the input JSON doc (null values) but this is only one of several reasons why an indexed value may not exist.
Closes#24256
In these tests, we sleep for a small multiple of the renew interval,
then check that the retention leases are not changed. If a renewal
request takes longer than that interval because of GC or slow CI, then
the retention leases are not the same as before sleep. With this change,
we relax to assert that we eventually stop the renewable process.
Closes#39509
* stop data frame task after it finishes
* test auto stop
* adapt tests
* persist the state correctly and move stop into listener
* Calling `onStop` even if persistence fails, changing `stop` to rely on doSaveState
Though not in use in elasticsearch currently, it seems surprising that
ThreadPool.scheduler().scheduleAtFixedRate would hang. A recurring
scheduled task is never completed (except on failure) and we test for
exceptions using RunnableFuture.get(), which hangs for periodic tasks.
Fixed by checking that task is done before calling .get().
Jason Tedor
Marios Trivyzas
Ryan Ernst
Przemyslaw Gomulka
Alpar Torok
David Roberts
Henning Andersen
Luca Cavanna
Vincent Boulaye
Gabryel Monteiro
Mirek Svoboda
Rafiullah Hamedy
Simon Willnauer
Yogesh Gaikwad
Tal Levy
Lisa Cawley
Benjamin Trent
Jim Ferenczi
James Baiera
Yannick Welsch
David Kyle
Alan Woodward
Jay Modi
Christoph Büscher
Shaunak Kashyap
Alexander Reelsen
Dimitris Athanasiou
markharwood
Jack Conradson
Nhat Nguyen