This makes all numeric fields including `date`, `ip` and `token_count` use
points instead of the inverted index as a lookup structure. This is expected
to perform worse for exact queries, but faster for range queries. It also
requires less storage.
Notes about how the change works:
- Numeric mappers have been split into a legacy version that is essentially
the current mapper, and a new version that uses points, eg.
LegacyDateFieldMapper and DateFieldMapper.
- Since new and old fields have the same names, the decision about which one
to use is made based on the index creation version.
- If you try to force using a legacy field on a new index or a field that uses
points on an old index, you will get an exception.
- IP addresses now support IPv6 via Lucene's InetAddressPoint and store them
in SORTED_SET doc values using the same encoding (fixed length of 16 bytes
and sortable).
- The internal MappedFieldType that is stored by the new mappers does not have
any of the points-related properties set. Instead, it keeps setting the index
options when parsing the `index` property of mappings and does
`if (fieldType.indexOptions() != IndexOptions.NONE) { // add point field }`
when parsing documents.
Known issues that won't fix:
- You can't use numeric fields in significant terms aggregations anymore since
this requires document frequencies, which points do not record.
- Term queries on numeric fields will now return constant scores instead of
giving better scores to the rare values.
Known issues that we could work around (in follow-up PRs, this one is too large
already):
- Range queries on `ip` addresses only work if both the lower and upper bounds
are inclusive (exclusive bounds are not exposed in Lucene). We could either
decide to implement it, or drop range support entirely and tell users to
query subnets using the CIDR notation instead.
- Since IP addresses now use a different representation for doc values,
aggregations will fail when running a terms aggregation on an ip field on a
list of indices that contains both pre-5.0 and 5.0 indices.
- The ip range aggregation does not work on the new ip field. We need to either
implement range aggs for SORTED_SET doc values or drop support for ip ranges
and tell users to use filters instead. #17700Closes#16751Closes#17007Closes#11513
This commit adds a new configuration file jvm.options to centralize and
simplify management of JVM options. This separates the configuration of
the JVM from the packaging scripts (bin/elasticsearch*, bin/service.bat,
and init.d/elasticsearch) simplifying end-user operational management of
custom JVM options.
Both top level and inline inner hits are now covered by InnerHitBuilder.
Although there are differences between top level and inline inner hits,
they now make use of the same builder logic.
The parsing of top level inner hits slightly changed to be more readable.
Before the nested path or parent/child type had to be specified as encapsuting
json object, now these settings are simple fields. Before this was required
to allow streaming parsing of inner hits without missing contextual information.
Once some issues are fixed with inline inner hits (around multi level hierachy of inner hits),
top level inner hits will be deprecated and removed in the next major version.
Today the basic node settings like `node.data` and `node.master` can't really be fully validated
since we allow to specify custom user attributes on the node level. We have to, in order to
support that, add a wildcard setting for `node.*` to let these setting pass validation.
Instead we should require a more contraint prefix like `node.attr.` that defines a namespace
that is reserved for user attributes.
This commit adds a new namespace for attributes in `node.attr`.
Closes#17280
https://github.com/elastic/elasticsearch/pull/17288 added a check to enforce that the `discovery.zen.minimum_master_nodes` configuration is set when nodes have the `host`, `port`, or `bind_host` set in either `transport` or general `network` configuration sections. This was documented incorrectly as "nodes that are bound to a non-loopback interface", which lead to confusion as I set `network.host: "localhost"` and the check was still failing.
This change updates the docs to detail the actual check. I think it also highlights how complex the check is and the need for a simpler solution.
discovery.zen.minimum_master_nodes is the single most important setting to set on a production cluster. We have no way of supplying a good default so it must be set by the user. Binding a node to a public IP (as opposed to the default local host) is a good enough indication that a node will be part of a production cluster cluster and thus it's a good tradeoff to enforce the settings. Note that nothing prevent users from setting it to 1 in a single node cluster.
Closes#17288
We currently have a `discovery.zen.master_election.filter_client` setting that control whether their ping responses are ignored for master election (which is the current default). With the push to treat client nodes as normal nodes (and promote the transport/rest clients for client work), this should be changed. This commit remove this setting and it's companion `discovery.zen.master_election.filter_data` setting (currently defaulting to false) in favor of singe `discovery.zen.master_election.ignore_non_master_pings` setting with more intuitive name (defaulting to false).
Resolves#17325Closes#17329
The available memory metric was always set to `0` since 2.0.beta1 (bug). was left behind but never set. Turns out the section wasn't that useful, as it would only output the total memory available throughout all nodes in the cluster. We decided to remove the section then.
In #17198, we removed suggest transport action, which
used the `suggest` threadpool to execute requests. Now
`suggest` threadpool is unused and suggest requests are
executed on the `search` threadpool.
Currently if you run an `exists` query on an object, it will resolve all sub
fields and create a disjunction for all those fields. However the `_field_names`
mapper indexes paths for objects so we could query object paths directly.
I also changed the query parser to reject `exists` queries if the `_field_names`
field is disabled since it would be a big performance trap.
In 5.0 we don't allow index settings to be specified on the node level ie.
in yaml files or via commandline argument. This can cause problems during
upgrade if this was used extensively. For instance if analyzers where
specified on a node level this might cause the index to be closed when
imported (see #17187). In such a case all indices relying on this
must be updated via `PUT /${index}/_settings`. Yet, this API has slightly
different semantics since it overrides existing settings. To make this less
painful this change adds a `preserve_existing` parameter on that API to ensure
we have the same semantics as if the setting was applied on the node level.
This change also adds a better error message and a change to the migration guide
to ensure upgrades are smooth if index settings are specified on the node level.
If a index setting is detected this change fails the node startup and prints a message
like this:
```
*************************************************************************************
Found index level settings on node level configuration.
Since elasticsearch 5.x index level settings can NOT be set on the nodes
configuration like the elasticsearch.yaml, in system properties or command line
arguments.In order to upgrade all indices the settings must be updated via the
/${index}/_settings API. Unless all settings are dynamic all indices must be closed
in order to apply the upgradeIndices created in the future should use index templates
to set default values.
Please ensure all required values are updated on all indices by executing:
curl -XPUT 'http://localhost:9200/_all/_settings?preserve_existing=true' -d '{
"index.number_of_shards" : "1",
"index.query.default_field" : "main_field",
"index.translog.durability" : "async",
"index.ttl.disable_purge" : "true"
}'
*************************************************************************************
```
Also replaced the PercolatorQueryRegistry with the new PercolatorQueryCache.
The PercolatorFieldMapper stores the rewritten form of each percolator query's xcontext
in a binary doc values field. This make sure that the query rewrite happens only during
indexing (some queries for example fetch shapes, terms in remote indices) and
the speed up the loading of the queries in the percolator query cache.
Because the percolator now works inside the search infrastructure a number of features
(sorting fields, pagination, fetch features) are available out of the box.
The following feature requests are automatically implemented via this refactoring:
Closes#10741Closes#7297Closes#13176Closes#13978Closes#11264Closes#10741Closes#4317
Today, certain bootstrap properties are set and read via system
properties. This action-at-distance way of managing these properties is
rather confusing, and completely unnecessary. But another problem exists
with setting these as system properties. Namely, these system properties
are interpreted as Elasticsearch settings, not all of which are
registered. This leads to Elasticsearch failing to startup if any of
these special properties are set. Instead, these properties should be
kept as local as possible, and passed around as method parameters where
needed. This eliminates the action-at-distance way of handling these
properties, and eliminates the need to register these non-setting
properties. This commit does exactly that.
Additionally, today we use the "-D" command line flag to set the
properties, but this is confusing because "-D" is a special flag to the
JVM for setting system properties. This creates confusion because some
"-D" properties should be passed via arguments to the JVM (so via
ES_JAVA_OPTS), and some should be passed as arguments to
Elasticsearch. This commit changes the "-D" flag for Elasticsearch
settings to "-E".
Clinton Gormley
Adrien Grand
Jason Tedor
Jimmy Jones
Martijn van Groningen
Simon Willnauer
Isabel Drost-Fromm
javanna
Isabel Drost-Fromm
spalger
Boaz Leskes
Jim Ferenczi
Areek Zillur
Colin Goodheart-Smithe
Christoph Büscher