This can lead to sporadic shard creating timeouts if the same shard is
created, closed and created again on the same node. The reason for this is
that we holding on to the store reference while blocking on the mapping update
that will prevent the shard lock from being released. Holding the lock is unnecessary
in this case and can simply be removed.
ShapeBuilder expected coordinates for Envelope types in strict Top-Left, Bottom-Right order. Given that GeoJSON does not enforce coordinate order (as seen in #8672) clients could specify envelope bounds in any order and be compliant with the GeoJSON spec but not the ES ShapeBuilder logic. This change loosens the ShapeBuilder requirements on envelope coordinate order, reordering where necessary.
closes#2544closes#9067closes#9079closes#9080
Cleans up the testReusePeerRecovery test as well
The actual fix is in TransportNodesListShardStoreMetaData.java, which
needs to use `nodeEnv.shardDataPaths` instead of `nodeEnv.shardPaths`.
Due to the difficulty in tracking this down, I've added a lot of
additional logging. This also fixes a logging issue in GatewayAllocator
This allows specifying the path an index will be at.
`index.data_path` is specified in the settings when creating an index,
and can not be dynamically changed.
An example request would look like:
POST /myindex
{
"settings": {
"number_of_shards": 2,
"data_path": "/tmp/myindex"
}
}
And would put data in /tmp/myindex/0/index/0 and /tmp/myindex/0/index/1
Since this can be used to write data to arbitrary locations on disk, it
requires enabling the `node.enable_custom_paths` setting in
elasticsearch.yml on all nodes.
Relates to #8976
The terms filter lookup mechanism today caches filters. Because of this, the
cache values depend on two things: the values that can be found in the lookup
index AND the mapping of the local index, since changing the mapping can change
the way that the filter is parsed. We should make the cache depend solely on
the content of the lookup index.
For instance the issue I was seeing was due to the following scenario:
- create index1 with _id indexed
- run terms filter with lookup, the parsed filter looks like `_id: 1 OR _id: 2`
- remove index1
- create index1 with _id not indexed
- run terms filter without lookup, the parsed filter is `_uid: type#1 OR _uid: type#2` (the _id field mapper knows how to use the _uid field when _id is not indexed)
- run terms filter with lookup, the filter is fetched from the cache: `_id: 1 OR _id: 2` but does not match anything since `_id` is not indexed.
Close#9027
Running a terms filter on a single term is equivalent to loading a postings
list into a bit set and then returning the bit set instead of reading the
postings list on the fly.
Close#9014
PR #8978 included 4 unnecessary enumeration values ('cw', 'clockwise', 'ccw', 'counterclockwise'). Since the ShapeBuilder.parse method handles these as strings and maps them to LEFT and RIGHT enumerators, respectively, their enumeration counterpart is unnecessary. This minor change adds 4 static convenience variables (COUNTER_CLOCKWISE, CLOCKWISE, CCW, CW) for purposes of the API and removes the unnecessary values from the Orientation Enum.
closes#9035
This feature adds an optional orientation parameter to the GeoJSON document and geo_shape mapping enabling users to explicitly define how they want Elasticsearch to interpret vertex ordering. The default uses the right-hand rule (counterclockwise for outer ring, clockwise for inner ring) complying with OGC Simple Feature Access standards. The parameter can be explicitly specified for an entire index using the geo_shape mapping by adding "orientation":{"left"|"right"|"cw"|"ccw"|"clockwise"|"counterclockwise"} and/or overridden on each insert by adding the same parameter to the GeoJSON document.
closes#8764
When I originally wrote the transform feature I didn't think that the
XContentType of the reencoded source mattered. It actually matters because
payloads for the completion suggester are stored and returned exactly
as encoded by this XContentType.
This revision changes the transform feature from always reencoding with smile
to always reencoding with the provided XContentType to support the completion
suggester.
Closes#8959
This commit adds the support for the Ctrl-Close event on Windows using native system calls. This way, it is possible to catch the Ctrl-Close event sent by a 'taskill /pid' command (or when the user closes the console window where elasticsearch.bat was started) and gracefully close the node. Before this commit, the node was simply killed on taskkill/window closing.
There was a race condition in the test in the case where the nodes fault detection would manage to send and initial ping, followed by 2 attempts before the target service was disconnected.
RecoveryTarget initiates the recovery by sending a start recovery request to the source node and then waits for the recovery to complete. During recovery cancellation, we interrupt the thread so it will wake up and clean the recovery. Depending on timing, this can leave an unneeded interrupted thread status causing future IO commands to fail unneeded.
RecoverySource already had a handy utility called CancellableThreads. This extracts it to a top level class, and uses it in RecoveryTarget as well.
Closes#9000
Up to now, all filters could be cached using the `_cache` flag that could be
set to `true` or `false` and the default was set depending on the type of the
`filter`. For instance, `script` filters are not cached by default while
`terms` are. For some filters, the default is more complicated and eg. date
range filters are cached unless they use `now` in a non-rounded fashion.
This commit adds a 3rd option called `auto`, which becomes the default for
all filters. So for all filters a cache wrapper will be returned, and the
decision will be made at caching time, per-segment. Here is the default logic:
- if there is already a cache entry for this filter in the current segment,
then return the cache entry.
- else if the doc id set cannot iterate (eg. script filter) then do not cache.
- else if the doc id set is already cacheable and it has been used twice or
more in the last 1000 filters then cache it.
- else if the filter is costly (eg. multi-term) and has been used twice or more
in the last 1000 filters then cache it.
- else if the doc id set is not cacheable and it has been used 5 times or more
in the last 1000 filters, then load it into a cacheable set and cache it.
- else return the uncached set.
So for instance geo-distance filters and script filters are going to use this
new default and are not going to be cached because of their iterators.
Similarly, date range filters are going to use this default all the time, but
it is very unlikely that those that use `now` in a not rounded fashion will get
reused so in practice they won't be cached.
`terms`, `range`, ... filters produce cacheable doc id sets with good iterators
so they will be cached as soon as they have been used twice.
Filters that don't produce cacheable doc id sets such as the `term` filter will
need to be used 5 times before being cached. This ensures that we don't spend
CPU iterating over all documents matching such filters unless we have good
evidence of reuse.
One last interesting point about this change is that it also applies to compound
filters. So if you keep on repeating the same `bool` filter with the same
underlying clauses, it will be cached on its own while up to now it used to
never be cached by default.
`_cache: true` has been changed to only cache on large segments, in order to not
pollute the cache since small segments should not be the bottleneck anyway.
However `_cache: false` still has the same semantics.
Close#8449
We use PlainTransportFuture as a future for our transport calls. If someone blocks on it and it is interrupted, we throw an ElasticsearchIllegalStateException. We should not set Thread.currentThread().interrupt(); in this case because we already communicate the interrupt through an exception.
Closes#9001
Add a new ignore_idle_threads boolean option (default true) to
/_nodes/hot_threads, to filter out threads in known idle places like
waiting on a socket select or on pulling the next task from an empty
queue.
Closes#8985Closes#8908
This commit makes histogram reduction a bit cleaner by expecting buckets
returned from shards to be sorted by key and merging them on-the-fly on the
coordinating node using a priority queue.
Close#8797
This commit adds support for version and version_type to the Term Vectors API.
This could be useful in the following case whereby the user gets a document
and later wants to generate its TVs. With version, this would ensure that only
the TVs of that particular document are generated, and error out if the
document has been updated in between.
Closes#7480
This commit makes histogram reduction a bit cleaner by expecting buckets
returned from shards to be sorted by key and merging them on-the-fly on the
coordinating node using a priority queue.
Close#8797
Simon Willnauer
Mikhail Korobov
Adrien Grand
Ryan Ernst
Clinton Gormley
Nicholas Knize
Lee Hinman
dtpeacock
tlrx
Martijn van Groningen
Janmejay Singh
Colin Goodheart-Smithe
Tomas Varaneckas
Nik Everett
David Pilato
Boaz Leskes
Guillaume Hiron
javanna
Michael McCandless
Alex Ksikes
Martijn Laarman