Added checks to IndexRequest#source(Object...) to ensure and even number
of parameters. This method otherwise throws an AIOOBException which is
confusing to users and doesn't report the root cause of the problem.
This commit allows for using Lucene doc values as a backend for field data,
moving the cost of building field data from the refresh operation to indexing.
In addition, Lucene doc values can be stored on disk (partially, or even
entirely), so that memory management is done at the operating system level
(file-system cache) instead of the JVM, avoiding long pauses during major
collections due to large heaps.
So far doc values are supported on numeric types and non-analyzed strings
(index:no or index:not_analyzed). Under the hood, it uses SORTED_SET doc values
which is the only type to support multi-valued fields. Since the field data API
set is a bit wider than the doc values API set, some operations are not
supported:
- field data filtering: this will fail if doc values are enabled,
- field data cache clearing, even for memory-based doc values formats,
- getting the memory usage for a specific field,
- knowing whether a field is actually multi-valued.
This commit also allows for configuring doc-values formats on a per-field basis
similarly to postings formats. In particular the doc values format of the
_version field can be configured through its own field mapper (it used to be
handled in UidFieldMapper previously).
Closes#3806
Migrate SearchContext.Rewrite to Releasable. All the parent child queries are now implemented as Lucene queries and the state is kept in the Weight.
Completely disable caching for `has_child` and `has_parent` filters, this has never worked and it also can also never work. The matching docIds are cached per segment while the collection of parent ids is top level.
Closes#3822
* Merged segments are now warmed-up at the end of the merge operation instead
of _refresh, so that _refresh doesn't pay the price for the warm-up of merged
segments, which is often higher than flushed segments because of their size.
* Even when no _warmer is registered, some basic warm-up of the segments is
performed: norms, doc values (_version). This should help a bit people who
forget to register warmers.
* Eager loading support for the parent id cache and field data: when one
can't predict what terms will be present in the index, it is tempting to use
a match_all query in a warmer, but in that case, query execution might not be
much faster than field data loading so having a warmer that only loads field
data without running a query can be useful.
Closes#3819
I tried to install a plugin directly from disk, but used the wrong arguments. Totally my fault for not RTFM properly.
However, by following the instructions printed out by `bin/plugin`, I ended up deleting my $ES/bin directory.
```
$ pwd
/tmp/elasticsearch-0.90.5
$ ls
LICENSE.txt NOTICE.txt README.textile bin config lib
$ bin/plugin --install file:///tmp/foo.zip
-> Installing file:///tmp/foo.zip...
Failed to install file:///tmp/foo.zip, reason: plugin directory /tmp/elasticsearch-0.90.5/plugins already exists. To update the plugin, uninstall it first using -remove file:///tmp/foo.zip command
$ bin/plugin -remove file:///tmp/foo.zip
-> Removing file:///tmp/foo.zip
Removed file:///tmp/foo.zip
$ ls
LICENSE.txt NOTICE.txt README.textile config lib
```
I reproduced the problem in 0.90.5 and the latest master.
Closes#3847.
Adding the mappers first could cause the wrong FieldMappers to be used during object parsing
Also:
Removed MergeContext.newFieldMappers, MergeContext.newObjectMappers and relatives as they are not used anymore.
Similarly removed MergeContext.addFieldDataChange & fieldMapperChanges as they were not used.
Closes#3844
Due to a change in 0.90 some exceptions may show up when starting a river,
even though this is not a problem as the shard has not been initialized
yet and a retry is scheduled.
Only valid fields (input, output, weight and payload) are now allowed inside a completion field.
This makes sure that typos like "inputs" are caught on indexing.
When parsing a filter, we effectively have a case where we need to ignore a filter. For example, when an "and" filter has no elements. Ignoring a filter is different compared to matching on all or matching on none, because an and filter with no elements should simply be ignored in the context of a bool filter for example, regardless if its used within a must or a must_not filter.
We should be consistent in our codebase when handling these use case. See also #3809closes#3838
Added a load_average_format=array|hash param to OsStats to allow serializing load averages into a hash (with keys 1m,5m, 15m).
Added node_info_format to NodeStats, allowing to suppress node info output
Adrien Grand
Simon Willnauer
Clinton Gormley
Jonathan CHAMPION
Martijn van Groningen
Boaz Leskes
Lee Hinman
Luca Cavanna
Matt Weber
Ben McCann
David Pilato
Alexander Reelsen
Shay Banon
uboness
Nik Everett