* Add enrich policy common parameter
* Add enrich APIs to REST APIs index
* Add put enrich policy API docs
* Add get enrich policy API docs
* Add delete enrich policy API docs
* Add execute enrich policy API docs
Besides a rename, this changes allows to processor to attach multiple
enrich docs to the document being ingested.
Also in order to control the maximum number of enrich docs to be
included in the document being ingested, the `max_matches` setting
is added to the enrich processor.
Relates #32789
A policy type controls how the enrich index is created and
the query executed against the match field. Currently there
is a single policy type (`exact_match`). In the near future
more policy types will be added and different policy may have
different configuration options.
For this reason type should be a json object instead of a string field:
```
{
"exact_match": {
...
}
}
```
instead of:
```
{
"type": "exact_match",
...
}
```
This will make streaming parsing of enrich policies easier as in the
new format, the parsing code can know ahead what configuration fields
to expect. In the latter format that is not possible if the type field
appears not as the first field.
Relates to #32789
Enrich processor configuration changes:
* Renamed `enrich_key` option to `field` option.
* Replaced `set_from` and `targets` options with `target_field`.
The `target_field` option behaves different to how `set_from` and
`targets` worked. The `target_field` is the field that will contain
the looked up document.
Relates to #32789
The get and list APIs are a single API in this commit. Whether
requesting one named policy or all policies, a list of policies is
returened. The list API code has all been removed and the GET api is
what remains, which contains much of the list response code.
If a pipeline that refrences the policy exists, we should not allow the
policy to be deleted. The user will need to remove the processor from
the pipeline before deleting the policy. This commit adds a check to
ensure that the policy cannot be deleted if it is referenced by any
pipeline in the system.
This processor uses the lucene HTMLStripCharFilter class to remove HTML
entities from a field. This adds to the char filter, so that there is
possibility to store the stripped version as well.
Note, that the characeter filter replaces tags with a newline, so that
the produced HTML will look slightly different than the incoming HTML
with regards to newlines.
Prior to this commit (and after 6.5.0), if an ingest node changes
the _index in a pipeline, the original target index would be created.
For daily indexes this could create an extra, empty index per day.
This commit changes the TransportBulkAction to execute the ingest node
pipeline before attempting to create the index. This ensures that the
only index created is the original or one set by the ingest node pipeline.
This was the execution order prior to 6.5.0 (#32786).
The execution order was changed in 6.5 to better support default pipelines.
Specifically the execution order was changed to be able to read the settings
from the index meta data. This commit also includes a change in logic such
that if the target index does not exist when ingest node pipeline runs, it
will now pull the default pipeline (if one exists) from the settings of the
best matched of the index template.
Relates #32786
Relates #32758Closes#36545
This commit breaks the single ingest docs file into multiple files,
factoring out the processor docs into a documentation file per
processor. This will help make this content easier to maintain.
This commit adds the last sequence number and primary term of the last operation that have
modified a document to `GetResult` and uses it to power the Update API.
Relates #36148
Relates #10708
Sometimes users are confused about whether they can use the Convert Processor
for changing an existing fields type to other types even if the existing one is already
ingested. This confusion is from the first line of description. Changing this and also
adding a some detail to the code snippet.
* ingest: Introduce the dissect processor
The ingest node dissect processor is an alternative to Grok
to split a string based on a pattern. Dissect differs from
Grok such that regular expressions are not used to split the
string.
Dissect can be used to parse a source text field with a
simpler pattern, and is often faster the Grok for basic string
parsing. This processor uses the dissect library which
does most of the work.
* INGEST: Extend KV Processor (#31789)
Added more capabilities supported by LS to the KV processor:
* Stripping of brackets and quotes from values (`include_brackets` in corresponding LS filter)
* Adding key prefixes
* Trimming specified chars from keys and values
Refactored the way the filter is configured to avoid conditionals during execution.
Refactored Tests a little to not have to add more redundant getters for new parameters.
Relates #31786
* Add documentation
ingest: Introduction of a bytes processor
This processor allows for human readable byte values (e.g. 1kb) to be converted to value in bytes (e.g. 1024). Internally this processor re-uses "ByteSizeValue.parseBytesSizeValue" which supports conversions up to Long.MAX_VALUE and the following units: "b", "kb", "mb", "gb", "tb", pb".
This change also introduces a generic return type for the AbstractStringProcessor to allow for code reuse while supporting a String -> T conversion. (String -> Long in this case).
This adds a thread interrupter that allows us to encapsulate calls to org.joni.Matcher#search()
This method can hang forever if the regex expression is too complex.
The thread interrupter in the background checks every 3 seconds whether there are threads
execution the org.joni.Matcher#search() method for longer than 5 seconds and
if so interrupts these threads.
Joni has checks that that for every 30k iterations it checks if the current thread is interrupted and
if so returns org.joni.Matcher#INTERRUPTED
Closes#28731
Adds support for triple quoted strings to the documentation test
generator. Kibana's CONSOLE tool has supported them for a year but we
were unable to use them in Elasticsearch's docs because the process that
converts example snippets into tests couldn't handle this. This change
adds code to convert them into standard JSON so we can pass them to
Elasticsearch.
James Rodewig
Martijn van Groningen
Tal Levy
Michael Basnight
István Zoltán Szabó
Alexander Reelsen
Jack Conradson
Jake Landis
Josh Soref
Jason Tedor
Boaz Leskes
Chris Cho
Armin Braun
Tanguy Leroux
rzmf
Nik Everett
Jiri Tyr