Archive cluster level settings if unknown or broken
We already archive index level settings if we find an unknown or invalid/broken
value for a setting on node startup. The same could potentially happen for persistent
cluster level settings if we remove a setting or if we add validation to a setting that
didn't exist in the past. To ensure that only valid settings are recovered into the cluster
state we archive them (prefix them with `archive.` and log a warning. Tools that check the
cluster settings can then warn users that they have broken settings in their clusterstate that
got archived.
This commit adds a bootstrap check on Linux and OS X for the max size of
virtual memory (address space) to the user running the Elasticsearch
process.
Closes#16935
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.
We already archive index level settings if we find an unknown or invalid/broken
value for a setting on node startup. The same could potentially happen for persistent
cluster level settings if we remove a setting or if we add validation to a setting that
didn't exist in the past. To ensure that only valid settings are recovered into the cluster
state we archive them (prefix them with `archive.` and log a warning. Tools that check the
cluster settings can then warn users that they have broken settings in their clusterstate that
got archived.
For the refactoring of SortBuilders related to #10217, each SortBuilder needs to get a build()
method that produces a SortField according to the SortBuilder parameters on the shard.
This commit fixes string formatting issues in the error handling and
provides a bettter error message if malformed input is detected.
This commit also adds tests for both situations.
Relates to #17212
this is the last step to remove node level service from IndexShard.
This means that tests can now more easily create an IndexShard instance
without starting a node and removes the dependency between IndexShard and Client/ScriptService
When a master is elected, it reaches out to all master nodes for their cluster state, selecting the one with the highest version. At the moment, we do another round to select the index metadata with the highest version as well. This is not needed - the election of a cluster state is enough - we should just use whatever indices are in it.
Closes#17233
We can do better than just throwing an error when we don't find a
setting. It's actually trivial to leverage lucenes slow LD StringDistance
to find possible candiates for a setting to detect missspellings and suggest
a possible setting.
This commit adds error messages like:
* `unknown setting [index.numbe_of_replica] did you mean [index.number_of_replicas]?`
rather than just reporting the setting as unknown
Today if something is wrong with the IndexMetaData we detect it very
late and most of the time if that happens we already allocated the index
and get endless loops and full log files on data-nodes. This change tries
to verify IndexService creattion during initial state recovery on the master
and if the recovery fails the index is imported as `closed` and won't be allocated
at all.
Closes#17187
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"
}'
*************************************************************************************
```
We current have a ClusterService interface, implemented by InternalClusterService and a couple of test classes. Since the decoupling of the transport service and the cluster service, one can construct a ClusterService fairly easily, so we don't need this extra indirection.
Closes#17183
During the aggregation refactoring the default value for `keyed` in the `percentiles` and `percentile_ranks` aggregation was inadvertently changed from `true` to `false`. This change reverts the defaults to the old (correct) value
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
Also adding checks for median SortMode on non-numeric field types
to FieldSortBuilder, removing some unused code and switching
GeoDistanceSortBuilder to using ParseField.
Christoph Büscher
Simon Willnauer
Nik Everett
Simon Willnauer
Colin Goodheart-Smithe
Jason Tedor
Adrien Grand
Luca Cavanna
Boaz Leskes
Jun Ohtani
Martijn van Groningen
Areek Zillur
Alexander Reelsen
Ryan Ernst
Clinton Gormley