If elasticsearch controls the ID values as well as the documents
version we can optimize the code that adds / appends the documents
to the index. Essentially we an skip the version lookup for all
documents unless the same document is delivered more than once.
On the lucene level we can simply call IndexWriter#addDocument instead
of #updateDocument but on the Engine level we need to ensure that we deoptimize
the case once we see the same document more than once.
This is done as follows:
1. Mark every request with a timestamp. This is done once on the first node that
receives a request and is fixed for this request. This can be even the
machine local time (see why later). The important part is that retry
requests will have the same value as the original one.
2. In the engine we make sure we keep the highest seen time stamp of "retry" requests.
This is updated while the retry request has its doc id lock. Call this `maxUnsafeAutoIdTimestamp`
3. When the engine runs an "optimized" request comes, it compares it's timestamp with the
current `maxUnsafeAutoIdTimestamp` (but doesn't update it). If the the request
timestamp is higher it is safe to execute it as optimized (no retry request with the same
timestamp has been run before). If not we fall back to "non-optimzed" mode and run the request as a retry one
and update the `maxUnsafeAutoIdTimestamp` unless it's been updated already to a higher value
Relates to #19813
* master:
Avoid NPE in LoggingListener
Randomly use Netty 3 plugin in some tests
Skip smoke test client on JDK 9
Revert "Don't allow XContentBuilder#writeValue(TimeValue)"
[docs] Remove coming in 2.0.0
Don't allow XContentBuilder#writeValue(TimeValue)
[doc] Remove leftover from CONSOLE conversion
Parameter improvements to Cluster Health API wait for shards (#20223)
Add 2.4.0 to packaging tests list
Docs: clarify scale is applied at origin+offest (#20242)
* Params improvements to Cluster Health API wait for shards
Previously, the cluster health API used a strictly numeric value
for `wait_for_active_shards`. However, with the introduction of
ActiveShardCount and the removal of write consistency level for
replication operations, `wait_for_active_shards` is used for
write operations to represent values for ActiveShardCount. This
commit moves the cluster health API's usage of `wait_for_active_shards`
to be consistent with its usage in the write operation APIs.
This commit also changes `wait_for_relocating_shards` from a
numeric value to a simple boolean value `wait_for_no_relocating_shards`
to set whether the cluster health operation should wait for
all relocating shards to complete relocation.
* Addresses code review comments
* Don't be lenient if `wait_for_relocating_shards` is set
* master:
Increase visibility of deprecation logger
Skip transport client plugin installed on JDK 9
Explicitly disable Netty key set replacement
percolator: Fail indexing percolator queries containing either a has_child or has_parent query.
Make it possible for Ingest Processors to access AnalysisRegistry
Allow RestClient to send array-based headers
Silence rest util tests until the bogusness can be simplified
Remove unknown HttpContext-based test as it fails unpredictably on different JVMs
Tests: Improve rest suite names and generated test names for docs tests
Add support for a RestClient base path
The deprecation logger is an important way to make visible features of
Elasticsearch that are deprecated. Yet, the default logging makes the
log messages for the deprecation logger invisible. We want these log
messages to be visible, so the default logging for the deprecation
logger should enable these log messages. This commit changes the log
level of deprecation log message to warn, and configures the deprecation
logger so that these log messages are visible out of the box.
Relates #20254
While removing an index isn't actually an alias action, if we add
an alias action that deletes an index then we can delete and index
and add an alias with the same name as the index atomically, in
the same cluster state update.
Closes#20064
This commit adds the support for exclusion filter to the response filtering (filter_path) feature. It changes the XContentBuilder APIs so that it now accepts two types of filters: inclusive and exclusive. Filters are no more String arrays but sets of String instead.
This changes Elasticsearch to automatically downgrade `text` and
`keyword` fields into appropriate `string` fields when changing the
mapping of indexes imported from 2.x. This allows users to use the
modern, documented syntax against 2.x indexes. It also makes it clear
that reindexing in order to recreate the index in 5.0 is required for
any long lived indexes. This change is useful for the times when you
can't (cluster is just starting, not stable enough for reindex) or
shouldn't (index will only live 90 days or something).
This change adds a special field named _none_ that allows to disable the retrieval of the stored fields in a search request or in a TopHitsAggregation.
To completely disable stored fields retrieval (including disabling metadata fields retrieval such as _id or _type) use _none_ like this:
````
POST _search
{
"stored_fields": "_none_"
}
````
Today we do a lot of accounting inside the engine to maintain locations
of documents inside the transaction log. This is only needed to ensure
we can return the documents source from the engine if it hasn't been refreshed.
Aside of the added complexity to be able to read from the currently writing translog,
maintainance of pointers into the translog this also caused inconsistencies like different values
of the `_ttl` field if it was read from the tlog or not. TermVectors are totally different if
the document is fetched from the tranlog since copy fields are ignored etc.
This chance will simply call `refresh` if the documents latest version is not in the index. This
streamlines the semantics of the `_get` API and allows for more optimizations inside the engine
and on the transaction log. Note: `_refresh` is only called iff the requested document is not refreshed
yet but has recently been updated or added.
#Relates to #19787
Deprecates the optimize_bbox parameter on geodistance queries. This has no longer been needed since version 2.2 because lucene geo distance queries (postings and LatLonPoint) already optimize by bounding box.
Fix field examples to make documents actually visible
This commit adds refresh calls to field examples an removes not working
`_routing` and `_field_names` script access.
Closes#20118
This includes:
- All regular numeric types such as int, long, scaled-float, double, etc
- IP addresses
- Dates
- Geopoints and Geoshapes
Relates to #19784
Previously this was possible, which was problematic when issuing a
request like `DELETE /-myindex`, which was interpretted as "delete
everything except for myindex".
Resolves#19800
Most of the examples in the pipeline aggregation docs use a small
"sales" test data set and I converted all of the examples that use
it to `// CONSOLE`. There are still a bunch of snippets in the pipeline
aggregation docs that aren't `// CONSOLE` so they aren't tested. Most
of them are "this is the most basic form of this aggregation" so they
are more immune to errors and bit rot then the examples that I converted.
I'd like to do something with them as well but I'm not sure what.
Also, the moving average docs and serial diff docs didn't get a lot of
love from this pass because they don't use the test data set or follow
the same general layout.
Relates to #18160
Currently both `PUT` and `POST` can be used to create indices. This commit
removes support for `POST index_name` so that we can use it to index documents
with auto-generated ids once types are removed.
Relates #15613
In the example there was a alias removed and then a different alias created for the same index, but I think actually swapping a index by another one for the same alias would make more sense as an example here.
This commit defaults the max local storage nodes to one. The motivation
for this change is that a default value greather than one is dangerous
as users sometimes end up unknowingly starting a second node and start
thinking that they have encountered data loss.
Relates #19964
This commit rewords the expect header bug notice to provide the precise
details for the bug arising. In particular, the bug does not impact any
request over 1024 bytes, but instead impacts any request with a body
that is sent in two requests, the first with an Expect: 100-continue
header. The size is irrelevant, and requests with bodies larger than
1024 bytes are okay as long as the Expect: 100-continue header is not
also sent.
Relates #19911
>However, the version of the new cluster should be the same or newer than the cluster that was
Afaik, you can't restore a snapshot to a newer cluster that is not consecutively newer (i.e. can't restore 1.x snapshot to a 5.x cluster). This is to clarify the statement above moving forward.
When compiling many dynamically changing scripts, parameterized
scripts (<https://www.elastic.co/guide/en/elasticsearch/reference/master/modules-scripting-using.html#prefer-params>)
should be preferred. This enforces a limit to the number of scripts that
can be compiled within a minute. A new dynamic setting is added -
`script.max_compilations_per_minute`, which defaults to 15.
If more dynamic scripts are sent, a user will get the following
exception:
```json
{
"error" : {
"root_cause" : [
{
"type" : "circuit_breaking_exception",
"reason" : "[script] Too many dynamic script compilations within one minute, max: [15/min]; please use on-disk, indexed, or scripts with parameters instead",
"bytes_wanted" : 0,
"bytes_limit" : 0
}
],
"type" : "search_phase_execution_exception",
"reason" : "all shards failed",
"phase" : "query",
"grouped" : true,
"failed_shards" : [
{
"shard" : 0,
"index" : "i",
"node" : "a5V1eXcZRYiIk8lecjZ4Jw",
"reason" : {
"type" : "general_script_exception",
"reason" : "Failed to compile inline script [\"aaaaaaaaaaaaaaaa\"] using lang [painless]",
"caused_by" : {
"type" : "circuit_breaking_exception",
"reason" : "[script] Too many dynamic script compilations within one minute, max: [15/min]; please use on-disk, indexed, or scripts with parameters instead",
"bytes_wanted" : 0,
"bytes_limit" : 0
}
}
}
],
"caused_by" : {
"type" : "general_script_exception",
"reason" : "Failed to compile inline script [\"aaaaaaaaaaaaaaaa\"] using lang [painless]",
"caused_by" : {
"type" : "circuit_breaking_exception",
"reason" : "[script] Too many dynamic script compilations within one minute, max: [15/min]; please use on-disk, indexed, or scripts with parameters instead",
"bytes_wanted" : 0,
"bytes_limit" : 0
}
}
},
"status" : 500
}
```
This also fixes a bug in `ScriptService` where requests being executed
concurrently on a single node could cause a script to be compiled
multiple times (many in the case of a powerful node with many shards)
due to no synchronization between checking the cache and compiling the
script. There is now synchronization so that a script being compiled
will only be compiled once regardless of the number of concurrent
searches on a node.
Relates to #19396
The payload option was introduced with the new completion
suggester implementation in v5, as a stop gap solution
to return additional metadata with suggestions.
Now we can return associated documents with suggestions
(#19536) through fetch phase using stored field (_source).
The additional fetch phase ensures that we only fetch
the _source for the global top-N suggestions instead of
fetching _source of top results for each shard.
This note in the delete api about broadcasting to all shards is a leftover that should have been removed when the broadcasting feature was removed
Relates to #10136
GeoDistance is implemented using a crazy enum that causes issues with the scripting modules. This commit moves all distance calculations to arcDistance and planeDistance static methods in GeoUtils. It also removes unnecessary distance helper methods from ScriptDocValues.GeoPoints.
This commit enables completion suggester to return documents
associated with suggestions. Now the document source is returned
with every suggestion, which respects source filtering options.
In case of suggest queries spanning more than one shard, the
suggest is executed in two phases, where the last phase fetches
the relevant documents from shards, implying executing suggest
requests against a single shard is more performant due to the
document fetch overhead when the suggest spans multiple shards.
Adds `warnings` syntax to the yaml test that allows you to expect
a `Warning` header that looks like:
```
- do:
warnings:
- '[index] is deprecated'
- quotes are not required because yaml
- but this argument is always a list, never a single string
- no matter how many warnings you expect
get:
index: test
type: test
id: 1
```
These are accessible from the docs with:
```
// TEST[warning:some warning]
```
This should help to force you to update the docs if you deprecate
something. You *must* add the warnings marker to the docs or the build
will fail. While you are there you *should* update the docs to add
deprecation warnings visible in the rendered results.
Today, when listing thread pools via the cat thread pool API, thread
pools are listed in a column-delimited format. This is unfriendly to
command-line tools, and inconsistent with other cat APIs. Instead,
thread pools should be listed in a row-delimited format.
Additionally, the cat thread pool API is limited to a fixed list of
thread pools that excludes certain built-in thread pools as well as all
custom thread pools. These thread pools should be available via the cat
thread pool API.
This commit improves the cat thread pool API by listing all thread pools
(built-in or custom), and by listing them in a row-delimited
format. Finally, for each node, the output thread pools are sorted by
thread pool name.
Relates #19721
Currently both aggregations really share the same implementation. This commit
splits the implementations so that regular histograms can support decimal
intervals/offsets and compute correct buckets for negative decimal values.
However the response API is still the same. So for intance both regular
histograms and date histograms will produce an
`org.elasticsearch.search.aggregations.bucket.histogram.Histogram`
aggregation.
The optimization to compute an identifier of the rounded value and the
rounded value itself has been removed since it was only used by regular
histograms, which now do the rounding themselves instead of relying on the
Rounding abstraction.
Closes#8082Closes#4847
* Rename operation to result and reworking responses
* Rename DocWriteResponse.Operation enum to DocWriteResponse.Result
These are just easier to interpret names.
Closes#19664
The current heuristic to compute a default shard size is pretty aggressive,
it returns `max(10, number_of_shards * size)` as a value for the shard size.
I think making it less aggressive has the benefit that it would reduce the
likelyness of running into OOME when there are many shards (yearly
aggregations with time-based indices can make numbers of shards in the
thousands) and make the use of breadth-first more likely/efficient.
This commit replaces the heuristic with `size * 1.5 + 10`, which is enough
to have good accuracy on zipfian distributions.
* Update gateway.asciidoc
Added a note to clarify that, in cases where nodes in a cluster have different setting, the node that is the elected master takes precedence over anything else.
* Update gateway.asciidoc
Updated as per @bleskes's comments
Performing the bulk request shown in #19267 now results in the following:
```
{"_index":"test","_type":"test","_id":"1","_version":1,"_operation":"create","forced_refresh":false,"_shards":{"total":2,"successful":1,"failed":0},"status":201}
{"_index":"test","_type":"test","_id":"1","_version":1,"_operation":"noop","forced_refresh":false,"_shards":{"total":2,"successful":1,"failed":0},"status":200}
```
This change adds a new special path to the buckets_path syntax
`_bucket_count`. This new option will return the number of buckets for a
multi-bucket aggregation, which can then be used in pipeline
aggregations.
Closes#19553
This adds new circuit breaking with the "request" breaker, which adds
circuit breaks based on the number of buckets created during
aggregations. It consists of incrementing during AggregatorBase creation
This also bumps the REQUEST breaker to 60% of the JVM heap now.
The output when circuit breaking an aggregation looks like:
```json
{
"shard" : 0,
"index" : "i",
"node" : "a5AvjUn_TKeTNYl0FyBW2g",
"reason" : {
"type" : "exception",
"reason" : "java.util.concurrent.ExecutionException: QueryPhaseExecutionException[Query Failed [Failed to execute main query]]; nested: CircuitBreakingException[[request] Data too large, data for [<agg [otherthings]>] would be larger than limit of [104857600/100mb]];",
"caused_by" : {
"type" : "execution_exception",
"reason" : "QueryPhaseExecutionException[Query Failed [Failed to execute main query]]; nested: CircuitBreakingException[[request] Data too large, data for [<agg [myagg]>] would be larger than limit of [104857600/100mb]];",
"caused_by" : {
"type" : "circuit_breaking_exception",
"reason" : "[request] Data too large, data for [<agg [otherthings]>] would be larger than limit of [104857600/100mb]",
"bytes_wanted" : 104860781,
"bytes_limit" : 104857600
}
}
}
}
```
Relates to #14046
With #19140 we started persisting the node ID across node restarts. Now that we have a "stable" anchor, we can use it to generate a stable default node name and make it easier to track nodes over a restarts. Sadly, this means we will not have those random fun Marvel characters but we feel this is the right tradeoff.
On the implementation side, this requires a bit of juggling because we now need to read the node id from disk before we can log as the node node is part of each log message. The PR move the initialization of NodeEnvironment as high up in the starting sequence as possible, with only one logging message before it to indicate we are initializing. Things look now like this:
```
[2016-07-15 19:38:39,742][INFO ][node ] [_unset_] initializing ...
[2016-07-15 19:38:39,826][INFO ][node ] [aAmiW40] node name set to [aAmiW40] by default. set the [node.name] settings to change it
[2016-07-15 19:38:39,829][INFO ][env ] [aAmiW40] using [1] data paths, mounts [[ /(/dev/disk1)]], net usable_space [5.5gb], net total_space [232.6gb], spins? [unknown], types [hfs]
[2016-07-15 19:38:39,830][INFO ][env ] [aAmiW40] heap size [1.9gb], compressed ordinary object pointers [true]
[2016-07-15 19:38:39,837][INFO ][node ] [aAmiW40] version[5.0.0-alpha5-SNAPSHOT], pid[46048], build[473d3c0/2016-07-15T17:38:06.771Z], OS[Mac OS X/10.11.5/x86_64], JVM[Oracle Corporation/Java HotSpot(TM) 64-Bit Server VM/1.8.0_51/25.51-b03]
[2016-07-15 19:38:40,980][INFO ][plugins ] [aAmiW40] modules [percolator, lang-mustache, lang-painless, reindex, aggs-matrix-stats, lang-expression, ingest-common, lang-groovy, transport-netty], plugins []
[2016-07-15 19:38:43,218][INFO ][node ] [aAmiW40] initialized
```
Needless to say, settings `node.name` explicitly still works as before.
The commit also contains some clean ups to the relationship between Environment, Settings and Plugins. The previous code suggested the path related settings could be changed after the initial Environment was changed. This did not have any effect as the security manager already locked things down.
Add parser for anonymous char_filters/tokenizer/token_filters
Using Settings in AnalyzeRequest for anonymous definition
Add breaking changes document
Closed#8878
Remove `ParseField` constants used for names where there are no deprecated
names and just use the `String` version of the registration method instead.
This is step 2 in cleaning up the plugin interface for extending
search time actions. Aggregations are next.
This is breaking for plugins because those that register a new query should
now implement `SearchPlugin` rather than `onModule(SearchModule)`.
Previously if the size of the search request was greater than zero we would not cache the request in the request cache.
This change retains the default behaviour of not caching requests with size > 0 but also allows the `request_cache=true` query parameter
to enable the cache for requests with size > 0
This is a tentative to revive #15939 motivated by elastic/beats#1941.
Half-floats are a pretty bad option for storing percentages. They would likely
require 2 bytes all the time while they don't need more than one byte.
So this PR exposes a new `scaled_float` type that requires a `scaling_factor`
and internally indexes `value*scaling_factor` in a long field. Compared to the
original PR it exposes a lower-level API so that the trade-offs are clearer and
avoids any reference to fixed precision that might imply that this type is more
accurate (actually it is *less* accurate).
In addition to being more space-efficient for some use-cases that beats is
interested in, this is also faster that `half_float` unless we can improve the
efficiency of decoding half-float bits (which is currently done using software)
or until Java gets first-class support for half-floats.
Today the default precision for the cardinality aggregation depends on how many
parent bucket aggregations it had. The reasoning was that the more parent bucket
aggregations, the more buckets the cardinality had to be computed on. And this
number could be huge depending on what the parent aggregations actually are.
However now that we run terms aggregations in breadth-first mode by default when
there are sub aggregations, it is less likely that we have to run the cardinality
aggregation on kagilions of buckets. So we could use a static default, which will
be less confusing to users.
* Removed `Template` class and unified script & template parsing logic. Templates are scripts, so they should be defined as a script. Unless there will be separate template infrastructure, templates should share as much code as possible with scripts.
* Removed ScriptParseException in favour for ElasticsearchParseException
* Moved TemplateQueryBuilder to lang-mustache module because this query is hard coded to work with mustache only
This should make them easier to read and adds them to the test suite
I changed the example from a two node cluster to a single node cluster
because that is what we have running in the integration tests. It is also
what a user just starting out is likely to see so I think that is ok.
Invocation counts can be used to help judge the selectivity of individual query components in the context of the entire query. E.g. a query may not look selective when run by itself (matches most of the index), but when run in context of a full search request, is evaluated only rarely due to execution order
Since this is modifying the base timing class, it'll enrich both query and agg profiles (as well as future profile results)
Today `node.mode` and `node.local` serve almost the same purpose, they
are a shortcut for `discovery.type` and `transport.type`. If `node.local: true`
or `node.mode: local` is set elasticsearch will start in _local_ mode which means
only nodes within the same JVM are discovered and a non-network based transport
is used. The _local_ mode it only really used in tests or if nodes are embedded.
For both, embedding and tests explicit configuration via `discovery.type` and `transport.type`
should be preferred.
This change removes all the usage of these settings and by-default doesn't
configure a default transport implemenation since netty is now a module. Yet, to make
the user expericence flawless, plugins or modules can set a `http.type.default` and
`transport.type.default`. Plugins set this via `PluginService#additionalSettings()`
which enforces _set-once_ which prevents node startup if set multiple times. This means
that our distributions will just startup with netty transport since it's packaged as a
module unless `transport.type` or `http.transport.type` is explicitly set.
This change also found a bunch of bugs since several NamedWriteables were not registered if a
transport client is used. Now that we don't rely on the `node.mode` leniency which is inherited
instead of using explicit settings, `TransportClient` uses `AssertingLocalTransport` which detects these problems since it serializes all messages.
Closes#16234
Simon Willnauer
Jack Conradson
Jason Tedor
Nik Everett
Ali Beyad
Greg Ichneumon Brown
Clinton Gormley
Jim Ferenczi
Tanguy Leroux
markwalkom
Munish Goyal
Jun Ohtani
Nicolas Ruflin
Josh Becker
Martijn van Groningen
Dominik Stadler
Igor Motov
ddddn
Lee Hinman
Nicholas Knize
Adrien Grand
polyfractal
Ludo
Gytis Šk
Tal Levy
Colin Goodheart-Smithe
Thomas Decaux
Pius
Deb Adair
Areek Zillur
David Pilato
javanna
Ryan Biesemeyer
Mary
Alexander Lin
Isabel Drost-Fromm
Glen Smith
Brandon Wulf
kingrhoton
Jared McQueen
Isabel Drost-Fromm
Boaz Leskes
Folusho Oladipo
Zachary Tong