The cache we are using for fielddata reclaims memory lazily/asynchronously. While this
helps with throughput this is an issue when a clear operation is issued manually since
memory is not reclaimed immediately. Since our clear methods already perform in linear
time anyway, this commit changes the fielddata cache to reclaim memory synchronously
when a clear command is issued manually. However, it remains lazy in case cache entries
are invalidated because segments or readers are closed, which is important since such
events happen all the time.
Close#11695
Some of our Java api builders had wrong logic when it comes to serializing the query in json format, resulting in missing fields like _name. Also, regexp parser was ignoring the _name field.
Closes#11694
`_timestamp` uses NumericDocValues instead of SortedNumericDocValues like other
numeric fields since it is guaranteed to be single-valued. However, we don't
need a different fielddata impl for it since DocValues.getSortedNumeric already
falls back to NUMERIC doc values if SORTED_NUMERIC are not available.
[maven] clean pom.xml
In Maven parent project, in dependency management, we should only declare which versions of 3rd party jars we want to use but not force any scope.
It makes then more obvious in modules what is exactly the scope of any dependency.
For example, one could imagine importing `jimfs` as a `compile` dependency in another module/plugin with:
```xml
<dependency>
<groupId>com.google.jimfs</groupId>
<artifactId>jimfs</artifactId>
</dependency>
```
But it won't work as expected as the default maven `scope` should be `compile` but here it's `test` as defined in the parent project.
So, if you want to use this lib for tests, you should simply define:
```xml
<dependency>
<groupId>com.google.jimfs</groupId>
<artifactId>jimfs</artifactId>
<scope>test</scope>
</dependency>
```
We also remove `maven-s3-wagon` from gce plugin as it's not used.
This was previously a container for an ObjectMapper, along with the
DocumentMapper that ObjectMapper came from. However, there was
only one use of needing the associated DocumentMapper, and that
wasn't actually used.
Moving the query building functionality from the parser to the builders
new toQuery() method analogous to other recent query refactorings.
Relates to #10217Closes#11629
In Maven parent project, in dependency management, we should only declare which versions of 3rd party jars we want to use but not force any scope.
It makes then more obvious in modules what is exactly the scope of any dependency.
For example, one could imagine importing `jimfs` as a `compile` dependency in another module/plugin with:
```xml
<dependency>
<groupId>com.google.jimfs</groupId>
<artifactId>jimfs</artifactId>
</dependency>
```
But it won't work as expected as the default maven `scope` should be `compile` but here it's `test` as defined in the parent project.
So, if you want to use this lib for tests, you should simply define:
```xml
<dependency>
<groupId>com.google.jimfs</groupId>
<artifactId>jimfs</artifactId>
<scope>test</scope>
</dependency>
```
We also remove `maven-s3-wagon` from gce plugin as it's not used.
Now that doc values are the default for fielddata, specialized in-memory
formats are becoming an esoteric option. This commit removes such formats:
- `fst` on string fields,
- `compressed` on geo points.
I also removed documentation and tests that the fielddata cache is shared if
you change the format, since this is only true for in-memory fielddata formats
(given that for doc values, the caching is done directly in Lucene).
The script APIs have been deprecated long ago we can now remove them.
This commit still keeps the parsing code since it might be used in a
query that is still stuck in transaction log. This issue should be discussed
elsewhere.
Closes#11619
In order to restrict a single set of field type settings for a given
field name across an index, we need the ability to compare field types.
This change adds equals and hashcode, as well as tests for every field
type.
Make sure there is a single place where shard routing move to unassigned, so we can add additional metadata when it does, also, simplify shard routing implementations a bit
closes#11634
The AsyncShardFetch retrieves shard information from the different nodes in order to detirment the best location for unassigned shards. The class uses TransportNodesListGatewayStartedShards and TransportNodesListShardStoreMetaData in order to fetch this information. These actions, inherit from TransportNodesAction and are activated using a list of node ids. Those node ids are extracted from the cluster state that is used to assign shards.
If we perform a reroute and adding new news in the same cluster state update task, it is possible that the AsyncShardFetch administration is based on
a different cluster state then the one used by TransportNodesAction to resolve nodes. This can cause a problem since TransportNodesAction filters away unkown nodes, causing the administration in AsyncShardFetch to get confused.
This commit fixes this allowing to override node resolving in TransportNodesAction and uses the exact node ids transfered by AsyncShardFetch
Information about in-progress snapshot and restore processes is not really metadata and should be represented as a part of the cluster state similar to discovery nodes, routing table, and cluster blocks. Since in-progress snapshot and restore information is no longer part of metadata, this refactoring also enables us to handle cluster blocks in more consistent manner and allow creation of snapshots of a read-only cluster.
Closes#8102
This commit cleans up all the MergeScheduler infrastructure
and simplifies / removes all unneeded abstractions. The MergeScheduler
itself is now private to the Engine and all abstractions like Providers
that had support for multiple merge schedulers etc. are removed.
Closes#11602
This is helpful to track down the origin of pending_tasks that aren't
expected. In tests we catch this with an assert, but in production
asserts may not be enabled so we should at least add the class name.
When specifying a time zone, RangeQueryBuilder currently throws an
exeption when the field does not use DateFieldMapper, but if there
are no mappers at all for that field it doesn't complain. To be
consistent we also throw expection now.
Refactors ExistsQueryBuilder and Parser, splitting the parse() method into a parsing
and a query building part. Also moving newFilter() utility method from parser to query builder.
Changes in the BaseQueryTestCase include introduction of randomized version to test disabled
FieldNamesFieldMappers and also getting rid of the need for createEmptyBuilder() method by
using registered prototype constants.
Relates to #10217Closes#11427
and a query building part, adding NamedWriteable implementation for serialization and hashCode(),
equals() for testing.
This change also adds tests using fixed set of leaf queries (Terms, Ids, MatchAll) as nested Queries in test query setup.
Also QueryParseContext is adapted to return QueryBuilder instances for inner filter parses instead of
previously returning Query instances, keeping old methods in place but deprecating them.
Relates to #10217Closes#11427
Today we provide the ability to plug in MergePolicy and
we provide the once lucene ships with. We do not recommend to change
the default and even only a small number of expert users would ever touch
this. This commit removes the ancient log byte size and log doc count
merge policy providers, simplifies the MergePolicy wiring and makes the
tiered MP the one and only default. All notions of a merge policy has been
removed from the docs and should be deprecated in the previous version.
Closes#11588
There used to be a null check for _field_names mapper not existing. This
was recently removed. However, there is a corner case when the mapper
may be missing: when no types or docs exist at all in the index.
This change adds back a null check and just returns no docs.
The current ExceptionsHelper.unwrapCause(exception) requires the incoming exception to support ElasticsearchWrapperException , which TranslogRecoveryPerformer.BatchOperationException doesn't implement. I opted for a more generic solution
We had to make CompressedXContent.equals decompress data to fix some
correctness issues which had the downside of making equals() slow. Now we store
a crc32 alongside compressed data which should help avoid decompress data in
most cases.
Close#11247
Now that mapping updates are sync and done before indexing we don't really need the waiting component. Also, removed many places were they were used as safe guard against delayed mapping updates, which are now not needed.
As part of the query refactoring, we want to be able to serialize queries by having them extend Writeable, rather than serializing their json. When reading them though, we need to be able to identify which query we have to create, based on its name.
For this purpose we introduce a new abstraction called NamedWriteable, which is supported by StreamOutput and StreamInput through writeNamedWriteable and readNamedWriteable methods. A new NamedWriteableRegistry is introduced also where named writeable prototypes need to be registered so that we are able to retrieve the proper instance of query given its name and then de-serialize it calling readFrom against it.
Closes#11553
While we had initially planned to keep rivers around in 2.0 to ease migration,
keeping support for rivers is challenging as it conflicts with other important
changes that we want to bring to 2.0 like synchronous dynamic mappings updates.
Nothing impossible to fix, but it would increase the complexity of how we
deal with dynamic mappings updates and manage rivers, while handling dynamic
mappings updates correctly is important for resiliency and rivers are on the go.
So removing rivers in 2.0 may well be a better trade-off.
These methods are now all in MappedFieldType. This removes the remaining
callers of the methods on FieldMapper, and cuts down the FieldMapper
API to no longer include them.
The MapperService is the "index wide view" of mappings. Methods on it
are used at query time to lookup how to query a field. This
change reduces the exposed api so that any information returned
is limited to that api exposed by MappedFieldType. In the future,
MappedFieldType will be guaranteed to be the same across all
document types for a given field.
Note CompletionFieldType needed some more settings moved to it. Other
than that, this change is almost purely cosmetic.
Split the parse method into a parsing and a query building part, adding serialization
and hashCode(), equals() for better testing. Add basic unit test for Builder and Parser.
Closes#11551
The shard can potentially not be deleted if the obsever that checks for the shard
STARTED is not registered because the registering is delayed by the disruption.
If the sum of delays is more than 10s then the wait for shard deletion will time out.
The ResourceWatcher used settings prefixed `watcher.`, which
potentially could clash with the watcher plugin.
In order to prevent confusion, the settings have been renamed to
`resource.reload` prefixes.
This also uses the deprecation logging infrastructure introduced
in #11033 to log deprecated settings and their alternative at
startup.
Closes#11175
In case a developer gets a list of ids from another data source,
it does not make a lot of sense, to convert it to an array first,
and then internally in IdsQueryBuilder elasticsearch creates a
list out of this.
Closes#5089
In order for exists queries to use the null value for
a field, null value needs to be part of the field type (should
differ between document types). This change moves null value
into the field type, as well as simplifies the null value
methods available to remove supportsNullValue().
#11363 introduced a retry logic for the case where we have to wait on a mapping update during the translog replay phase of recovery. The retry throws or recovery stats off as it may count ops twice.
There are different ways to register custom query parsers through plugins, a couple of them work per index via index settings, which is probably even too flexible. There also three different ways to add a global custom query parser through either IndicesQueriesModule or IndicesQueriesRegistry. This commit consolidates the registration of custom query parsers via IndicesQueriesModule#addQuery(Class<? extends QueryParser>). The complexity of supporting parsers per index is not needed hence it got removed. Also the other ways of registering global custom parsers are dropped in favour of the one mentioned above.
Closes#11481
The search template and template query did not run the template through the script engine before searching for an inner template. This meant that parsing for the inner template failed because the template was not always valid JSON (if it contained mustache code) when it was parsed to find the inner template. This has been fixed and Tests added to check for the failing behaviour.
Tests are from https://github.com/elastic/elasticsearch/pull/8393
In #10918, we introduced the prompt placeholders. These were had a different format
than our existing placeholders. This changes the prompt placeholders to follow the
format of the existing placeholders.
Relates to #11455
This commit adds an additioal jar that is shaded and keeps all the
artifacts that are used by default on the server-side unshaded. Users
that need a shaded jar can now use the `shaded` classifyer to pull
the shaded minimized jar in instead. Including the shaded jar in a
downstream project looks like this:
```XML
<dependency>
<groupId>org.elasticsearch</groupId>
<artifactId>elasticsearch</artifactId>
<classifier>shaded</classifier>
</dependency>
```
After asynchronously fetching shard information the gateway allocator issues a reroute via a cluster state update task. #11421 introduced an optimization trying to avoid submitting unneeded reroutes when results for many shards come in together. This is done by having a rerouting flag, indicating a pending reroute is coming and thus any new incoming shard info doesn't need to issue a reroute. This flag wasn't reset upon an error in the reroute update task. Most notably - if a master node had to step during to a min_master_node violation, it could reject an ongoing reroute. Lacking to reset the flag causing it to skip any future reroute, when the node became master again.
Closes#11519
Since we are creating write.lock earlier now, blob store shouldn't attempt deleting this file during clean up at the end of the restore process. The file is locked and the blog store doesn't succeed, but it generates a lot of useless warnings "failed to delete file [write.lock] during snapshot cleanup".
Closes#11517
Adrien Grand
javanna
Christoph Büscher
David Pilato
Ryan Ernst
Boaz Leskes
Britta Weber
Simon Willnauer
Shay Banon
Igor Motov
Shaunak Kashyap
Michael McCandless
Colin Goodheart-Smithe
Robert Muir
Lee Hinman
srogljan
Christoph Büscher
Alexander Reelsen
Nirmal Chidambaram
Colin Goodheart-Smithe
jaymode