Currently both ProfileResult and CollectorResult print the time field in a human readable string format
(e.g. "time": "55.20315000ms"). When trying to parse this back to a long value, for example to use in
the planned high level java rest client, we can lose precision because of conversion and rounding issues.
This change adds a new additional field (`time_in_nanos`) to the profile response to be able to get the
original time value in nanoseconds back.
The old `time` field is only printed when the `?`human=true` flag in the url is set. This follow the behaviour for
all other stats-related apis. Also the format of the `time` field is slightly changed. Instead of always formatting
the output as a 10-digit ms value, by using the `XContentBuilder#timeValueField()` method we now print
the largest time unit present is used (e.g. "s", "ms", "micros").
This change disables the _all meta field by default.
Now that we have the "all-fields" method of query execution, we can save both
indexing time and disk space by disabling it.
_all can no longer be configured for indices created after 6.0.
Relates to #20925 and #21341Resolves#19784
After deprecating getters and setters and the query DSL parameter in 5.x,
support for `minimum_number_should_match` can be removed entirely. Also
consolidated comments with the ones on 5.x branch and added an entry to the
migration docs.
With this commit we enable the Jackson feature 'STRICT_DUPLICATE_DETECTION'
by default for all XContent types (not only JSON).
We have also changed the name of the system property to disable this feature
from `es.json.strict_duplicate_detection` to the now more appropriate name
`es.xcontent.strict_duplicate_detection`.
Relates elastic/elasticsearch#19614
Relates elastic/elasticsearch#22073
With this commit we change the data type of the 'TIMESTAMP'
meta-data field from a formatted date string to a plain
`java.util.Date` instance. The main reason for this change is
that our benchmarks have indicated that this contributes
significantly to the time spent in the ingest pipeline.
The overhead in terms of indexing throughput of the ingest
pipeline is about 15% and breaks down roughly as follows:
* 5% overhead caused by the conversion from `XContent` -> `Map`
* 5% overhead caused by the timestamp formatting
* 5% overhead caused by the conversion `Map` -> `XContent`
Relates #22074
With this commit we enable the Jackson feature 'STRICT_DUPLICATE_DETECTION'
by default. This ensures that JSON keys are always unique. While this has
a performance impact, benchmarking has indicated that the typical drop in
indexing throughput is around 1 - 2%.
As a last resort, we allow users to still disable strict duplicate checks
by setting `-Des.json.strict_duplicate_detection=false` which is
intentionally undocumented.
Closes#19614
When using dynamic templates, ES will now throw an exception if a
`match_mapping_type` is used that doesn't correspond to an actual type.
Relates to #17285
Our query DSL supports empty queries (`{}`), which have a different meaning depending on the query that holds it, either ignored, match_all or match_none. We deprecated the support for empty queries in 5.0, where we log a deprecation warning wherever they are used.
The way we supported it once we moved query parsing to the coordinating node was having an Optional<QueryBuilder> return type in all of our parse methods (called fromXContent). See #17624. The central place for this was QueryParseContext#parseInnerQueryBuilder. We can now remove all the optional return types and simply throw an exception whenever an empty query is found.
It used to be a hybrid store between `niofs` and `mmapfs`, which we removed when
we switched to `fs` by default (which is `mmapfs` on 64-bits systems).
Currently, the `terms` query is just syctactic sugar for a `bool` query when
used in a query context. This change proposes to always generate the same query
in query and filter contexts, which is less confusing.
For the record, I also had to remove the geo-hash cell and geo-distance range
queries to make the code compile. These queries already throw an exception in
all cases with 5.x indices, so that does not hurt any more.
I also had to rename all 2.x bwc indices from `index-${version}` to
`unsupported-${version}` to make `OldIndexBackwardCompatibilityIT`
happy.
* Scripting: Remove groovy scripting language
Groovy was deprecated in 5.0. This change removes it, along with the
legacy default language infrastructure in scripting.
The `type` parameter has always been accepted by the search_shards api, probably to make the api and its urls the same as search. Truth is that the type never had any effect, it's been ignored from day one while accepting it may make users think that we actually do something with it.
This commit removes support for the type parameter from the REST layer and the Java API. Backwards compatibility is maintained on the transport layer though.
The new added serialization test also uncovered a bug in the java API where the `ClusterSearchShardsRequest` could be created with no arguments, but the indices were required to be not null otherwise the request couldn't be serialized as `writeTo` would throw NPE. Fixed by setting a default value (empty array) for indices.
This changes only the query parsing behavior to be strict when searching on
boolean values. We continue to accept the variety of values during index time,
but searches will only be parsed using `"true"` or `"false"`.
Resolves#21545
0219a211d3 added support for templates
to have multiple patterns and renamed `template` to `index_patterns`.
This adds the breaking changes docs for that.
This commit removes some references to 5.x that were picked up when the
migration docs for the cat API were migrated from 5.x to master.
Relates #21342
This commit adds migration docs for the cat API, including a note
regarding the change in response in the cat thread pool API for
unbounded queue sizes.
Relates #21342
Exist requests are supposed to never throw an exception, but rather return true or false depending on whether some resource exists or not. Indices exists does that for indices and accepts wildcard expressions too. The way the api works internally is by resolving indices and catching IndexNotFoundException: if an exception is thrown the index does not exist hence it returns false, otherwise it returns true. That works ok only if ignore_unavailable and allow_no_indices indices options are both set to false, meaning that they are strict and any missing index or wildcard expressions that resolves to no indices will lead to an exception that can be thrown and cause false to be returned.
Unfortunately the indices options have been configurable up until now for this request, meaning that one can set ignore_unavailable or allow_no_indices to true and have the indices exist request return true for indices that really don't exist, which makes very little sense in the context of this api.
This commit removes the indicesOptions setter from the IndicesExistsRequest and makes settable only expandWildcardsOpen and expandWildcardsClosed, hence a subset of the available indices options. This way we can guarantee more consistent behaviour of the indices exists api. We can then remove the ignore_unavailable and allow_no_indices option from indices exists api spec
In 5.x we allowed this with a deprecation warning. This removes the code
added for that deprecation, requiring the cluster name to not be in the
data path.
Resolves#20391
This was an error-prone version type that allowed overriding previous
version semantics. It could cause primaries and replicas to be out of
sync however, so it has been removed.
Resolves#19769
Previous versions of Elasticsearch permitted unquoted JSON field names even though this is against the JSON spec. This leniency was disabled by default in the 5.x series of Elasticsearch but a backwards compatibility layer was added via a system property with the intention of removing this layer in 6.0.0. This commit removes this backwards compatibility layer.
Relates #20388
This includes:
- All regular numeric types such as int, long, scaled-float, double, etc
- IP addresses
- Dates
- Geopoints and Geoshapes
Relates to #19784
The collect_payloads parameter of the span_near query was previously
deprecated with the intention to be removed. This commit removes this
parameter.
Relates #20385
This was an error-prone version type that allowed overriding previous
version semantics. It could cause primaries and replicas to be out of
sync however, so it has been removed.
Resolves#19769
** The default script language is now maintained in `Script` class.
* Added `script.legacy.default_lang` setting that controls the default language for scripts that are stored inside documents (for example percolator queries). This defaults to groovy.
** Added `QueryParseContext#getDefaultScriptLanguage()` that manages the default scripting language. Returns always `painless`, unless loading query/search request in legacy mode then the returns what is configured in `script.legacy.default_lang` setting.
** In the aggregation parsing code added `ParserContext` that also holds the default scripting language like `QueryParseContext`. Most parser don't have access to `QueryParseContext`. This is for scripts in aggregations.
* The `lang` script field is always serialized (toXContent).
Closes#20122
The mem section was buggy in cluster stats and removed. It is now added back with the same structure as in node stats, containing total memory, available memory, used memory and percentages. All the values are the sum of all the nodes across the cluster (or at least the ones that we were able to get the values from).
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