In order to safely complete recoveries / relocations we have to keep all operation done since the recovery start at available for replay. At the moment we do so by preventing the engine from flushing and thus making sure that the operations are kept in the translog. A side effect of this is that the translog keeps on growing until the recovery is done. This is not a problem as we do need these operations but if the another recovery starts concurrently it may have an unneededly long translog to replay. Also, if we shutdown the engine for some reason at this point (like when a node is restarted) we have to recover a long translog when we come back.
To void this, the translog is changed to be based on multiple files instead of a single one. This allows recoveries to keep hold to the files they need while allowing the engine to flush and do a lucene commit (which will create a new translog files bellow the hood).
Change highlights:
- Refactor Translog file management to allow for multiple files.
- Translog maintains a list of referenced files, both by outstanding recoveries and files containing operations not yet committed to Lucene.
- A new Translog.View concept is introduced, allowing recoveries to get a reference to all currently uncommitted translog files plus all future translog files created until the view is closed. They can use this view to iterate over operations.
- Recovery phase3 is removed. That phase was replaying operations while preventing new writes to the engine. This is unneeded as standard indexing also send all operations from the start of the recovery to the recovering shard. Replay all ops in the view acquired in recovery start is enough to guarantee no operation is lost.
- IndexShard now creates the translog together with the engine. The translog is closed by the engine on close. ShadowIndexShards do not open the translog.
- Moved the ownership of translog fsyncing to the translog it self, changing the responsible setting to `index.translog.sync_interval` (was `index.gateway.local.sync`)
Closes#10624
The assumption is that gaps in histogram are generally undesirable, for instance
if you want to build a visualization from it. Additionally, we are building new
aggregations that require that there are no gaps to work correctly (eg.
derivatives).
this commit removes the obsolete settings for distributors and updates
the documentation on multiple data.path. It also adds an explain to the
migration guide.
Relates to #9498Closes#10770
Remove the ability to specify search type ‘query_and_fetch’ and
‘df_query_and_fetch’ from the REST API.
- Adds REST tests
- Updates REST API spec to remove ‘query_and_fetch’ and
‘df_query_and_fetch’ as options
- Removes documentation for these options
Closes#9606
Regardless of the outcome of #8142, we should at least enforce that
when _source is enabled, it is sufficient to reindex. This change
removes the excludes and includes settings, since these modify
the source, causing us to lose the ability to reindex some fields.
closes#10814
field_value_factor now takes a default that is used if the document doesn't
have a value for that field. It looks like:
"field_value_factor": {
"field": "popularity",
"missing": 1
}
Closes#10841
Groovy sandboxing was disabled by default from 1.4.3 on though since we found out that it could be worked around, so it makes little sense to keep it and maintain it.
Closes#10156Closes#10480
This changes the default ranking behaviour of single-term queries on numeric fields to use the usual Lucene TermQuery scoring logic rather than a constant-scoring wrapper.
Closes#10628
* Removed the docs for `index.compound_format` and `index.compound_on_flush` - these are expert settings which should probably be removed (see https://github.com/elastic/elasticsearch/issues/10778)
* Removed the docs for `index.index_concurrency` - another expert setting
* Labelled the segments verbose output as experimental
* Marked the `compression`, `precision_threshold` and `rehash` options as experimental in the cardinality and percentile aggs
* Improved the experimental text on `significant_terms`, `execution_hint` in the terms agg, and `terminate_after` param on count and search
* Removed the experimental flag on the `geobounds` agg
* Marked the settings in the `merge` and `store` modules as experimental, rather than the modules themselves
Closes#10782
Hi there. I've been experimenting with the search templates recently and I'm a bit confused. Shouldn't the Mustache tags be written like `{{tagname}}` instead of `{tagname}`? Your using `{{...}}` [here](http://www.elastic.co/guide/en/elasticsearch/reference/current/search-template.html) BTW.
Using the first example in that page seems to indicate that something's wrong, or am I missing something?
```
$ curl 'localhost:9200/test/_search' -d '{"query":{"template":{"query":{"match":{"text":"{keywords}"}},"params":{"keywords":"value1_foo"}}}}'
{"took":1,"timed_out":false,"_shards":{"total":1,"successful":1,"failed":0},"hits":{"total":0,"max_score":null,"hits":[]}}
$ curl 'localhost:9200/test/_search' -d '{"query":{"template":{"query":{"match":{"text":"{{keywords}}"}},"params":{"keywords":"value1_foo"}}}}'
{"took":1,"timed_out":false,"_shards":{"total":1,"successful":1,"failed":0},"hits":{"total":1,"max_score":1.0,"hits":[{"_index":"test","_type":"testtype","_id":"1","_score":1.0,"_source":{"text":"value1_foo"}}]}}
```
Disabling doc values or trying to index hash values are not
correct uses of this the murmur3 field type, and just cause
problems. This disallows changing doc values or index options
for 2.0+.
closes#10465
The field stats api returns field level statistics such as lowest, highest values and number of documents that have at least one value for a field.
An api like this can be useful to explore a data set you don't know much about. For example you can figure at with the lowest and highest response times are, so that you can create a histogram or range aggregation with sane settings.
This api doesn't run a search to figure this statistics out, but rather use the Lucene index look these statics up (using Terms class in Lucene). So finding out these stats for fields is cheap and quick.
The min/max values are based on the type of the field. So for a numeric field min/max are numbers and date field the min/max date and other fields the min/max are term based.
Closes#10523
