Gradle has "rules" for certain task names, and clean is one of these.
When you run clean, it searches for any tasks named cleanX, and tries to
reverse engineer the X task. For eclipse, this means it finds
cleanEclipse, and internally runs it (but this does not show up as a
dependency of clean in tasks list!!). Since we added .settings as an
additional file to delete with cleanEclipse, this gets deleted when
running just "clean". It doesn't delete the other files because those
have their own clean methods, and dependencies are not followed in this
insanity. This change simply makes a separate task for cleaning eclipse
settings.
The page cache recycler has a dependency on thread pool that was there
for historical reasons but is no longer needed. This commit removes this
now unneeded dependency.
Relates #18664
Contains a number of cleanups related to recent changes in RoutingNodes:
- PR #17821 (Immutable ShardRouting) changed RoutingNode to use a map indexed by ShardId to manage ShardRouting elements. This means that we can directly select the right ShardRouting without iterating over all elements. This lets us get rid of RoutingNodeIterator and all kind of iterations all over the place.
- Second cleanup is an extension of #18390 (Expose cluster state before reroute in RoutingAllocation instead of RoutingNodes). We should not reexpose RoutingTable in RoutingNodes and only use it in the constructor. This makes it clear that the RoutingTable is only used to construct the RoutingNodes and can diverge from it afterwards (only RoutingNodes is mutable).
- Remove AllocationService.applyNewNodes() (that is already done as part of construction of RoutingNodes)
When we shrink an index we can estimate the shards size for the primary
from the source index. This is important for allocation decisions since we
should try out best to ensure we have enough space on the node we shrink the
index.
Currently we return `null` when the query in a common terms query has
zero tokens after analysis. It would be better if query builders
`toQuery()` would never return null and return a meaningful lucene
query instead. Since an ExtendedCommonTermsQuery with no terms gets
rewritten to a MatchNoDocsQuery later, it is enough to leave out the
check for zero tokens.
The fact that ip fields used a different doc values representation in 2.x causes
issues when querying 2.x and 5.0 indices in the same request. This changes 2.x
doc values on ip fields/2.x to be hidden behind binary doc values that use the
same encoding as 5.0. This way the coordinating node will be able to merge shard
responses that have different major versions.
One known issue is that this makes sorting/aggregating slower on ip fields for
indices that have been generated with elasticsearch 2.x.
This adds a low level primitive operations to shrink an existing
index into a new index with a single shard. This primitive expects
all shards of the source index to allocated on a single node. Once the target index is initializing on the shrink node it takes a snapshot of the source index shards and copies all files into the target indices data folder. An [optimization](https://issues.apache.org/jira/browse/LUCENE-7300) coming in Lucene 6.1 will also allow for optional constant time copy if hard-links are supported by the filesystem. All mappings are merged into the new indexes metadata once the snapshots have been taken on the merge node.
To shrink an existing index all shards must be moved to a single node (one instance of each shard) and the index must be read-only:
```BASH
$ curl -XPUT 'http://localhost:9200/logs/_settings' -d '{
"settings" : {
"index.routing.allocation.require._name" : "shrink_node_name",
"index.blocks.write" : true
}
}
```
once all shards are started on the shrink node. the new index can be created via:
```BASH
$ curl -XPUT 'http://localhost:9200/logs/_shrink/logs_single_shard' -d '{
"settings" : {
"index.codec" : "best_compression",
"index.number_of_replicas" : 1
}
}'
```
This API will perform all needed check before the new index is created and selects the shrink node based on the allocation of the source index. This call returns immediately, to monitor shrink progress the recovery API should be used since all copy operations are reflected in the recovery API with byte copy progress etc.
The shrink operation does not modify the source index, if a shrink operation should
be canceled or if the shrink failed, the target index can simply be deleted and
all resources are released.
When calling `findTemplateBuilder(context, currentFieldName, "text", null)`,
elasticsearch ignores all templates that have a `match_mapping_type` set since
no dynamic type is provided (the last parameter, which is null in that case).
So this should only be called _last_. Otherwise, if a path-based template
matches, it will have precedence over all type-based templates.
Closes#18625
We have 3 evil tests for jarhell. They have been failing in java 9
because of how evil they are. The first checks the leniency we add for
jarhell in the jdk itself. This is unecessary, since if the leniency
wasn't there, we would already be failing all jarhell checks. The second
is checking the compile version is compatible with the jdk. This is
simpler since we don't need to fake the java version: we know 1.7 should
be compatibile with both java 8 and 9, so we can use that as a constant.
Finally the last test checks if the java version system property is
broken. This is simply something we should not check, we have to trust
that java specifies it correctly, and again, if it was broken, all
jarhell checks would be broken.
There is no reason to read the entire marvel hero file to test the features,
it might take several seconds to do so which is unnecessary.
This commit also splits SearchSuggestTests into core and modules/mustache
also add @Nighlty to forbidden API to make sure we don't use it since they won't run in CI these days.
Lucene SuppressForbidden is marked lucene.internal and should not be
used outside of Lucene. This commit removes the uses of this class
within Elasticsearch. Instead,
org.elasticsearch.common.SuppressForbidden should be used, which was
already the case in most places.
Recent changes adds an extra bin/ directory that contains Windows bat files in the normal Bin folder of elasticsearch. For exemple the script elasticsearch.bat is located in bin/bin/elasticsearch.bat instead of bin/elasticsearch.bat.
Modifying the translog replay to not replay again into the translog
introduced a bug for the case of multiple operations for the same
doc. Namely, since we were no longer updating the version map for each
operation, the second operation for a doc would be treated as a creation
instead of as an update. This commit fixes this bug by placing these
operations into version map. This commit includes a failing test case.
Relates #18611
Today we pull doc stats from an index reader which might not reflect reality.
IndexWriter might have merged all deletes away but due to a missing refresh
the stats are completely off. This change pulls doc stats from the IndexWriter
directly instead of relying on refreshes to run regularly. Note: Buffered deletes
are still not visible until the segments are flushed to disk.
If the relocation source fails during the relocation of a shard from one node to another, the
relocation target is currently failed as well. For replica shards this is not necessary,
however, as the actual shard recovery of the relocation target is done via the primary shard.
Our current testing for TimeUnitRoundings rounding() and nextRoundingValue()
methods that are used especially for date histograms lacked proper randomization
for time zones. We only did randomized tests for fixed offset time zones
(e.g. +01:00, -05:00) but didn't account for real world time zones with
DST transitions.
Adding those tests revealed a couple of problems with our current rounding logic.
In some cases, usually happening around those transitions, rounding a value down
could land on a value that itself is not a proper rounded value. Also sometimes
the nextRoundingValue would not line up properly with the rounded value of all
dates in the next unit interval.
This change improves the current rounding logic in TimeUnitRounding in two ways:
it makes sure that calling round(date) always returns a date that when rounded
again won't change (making round() idempotent) by handling special cases happening
during dst transitions by performing a second rounding. It also changes the
nextRoundingValue() method to itself rely on the round method to make sure we
always return rounded values for the unit interval boundaries.
Also adding tests for randomized TimeUnitRounding that assert important basic
properties the rounding values should have. For better understanding and readability
a few of the pathological edge cases are also added as a special test case.
Like on other places in the query dsl the full field name should be used.
Before this change this wasn't the case for nested inner hits when source filtering was used.
Highlighting has a workaround, which is now removed as the source of nested inner hits can only be refered by the full name.
Closes#16653
Ryan Ernst
Jason Tedor
Yannick Welsch
Clinton Gormley
Robert Muir
Simon Willnauer
Christoph Büscher
Michael McCandless
Christoph Wurm
Robert Muir
Adrien Grand
Mike McCandless
Boaz Leskes
Britta Weber
Tanguy Leroux
Simon Willnauer
Martijn van Groningen
David Pilato
Alexander Kazakov
javanna
Luca Cavanna