Before 5.0 for it was required that the percolator queries were cached in jvm heap as Lucene queries for two reasons:
1) Performance. The percolator evaluated all percolator queries all the time. There was no pre-selecting queries that are likely to match like we have today.
2) Updates made to percolator queries were visible in realtime, Today these changes are visible in near realtime. So updating no longer requires the percolator to have the queries in jvm heap.
So having the percolator queries in jvm heap via the percolator cache is now less attractive. Especially when there are many percolator queries then these queries can consume many GBs of jvm heap.
Removing the percolator cache does make the percolate query slower compared to how the execution time in 5.0.0-alpha1 and alpha2, but it is still faster compared to 2.x and before.
Today when parsing settings during bootstrap, we add a system property
for every Elasticsearch setting. Additionally, settings can be set via
system properties. This commit simplifies this situation.
- settings are no longer propogated to system properties
- system properties can not be used to set settings
- the "es." prefix on settings is no longer required (nor permitted)
- test logging has a dedicated system property (tests.logger.level)
Relates #18198
We often require a random joda DateTimeZone in our tests. Currently
there are a few options for generating such a random DateTimeZone
from the set of available ids. Currently most random picks are not
really reproducable across different jvms because they rely on order
in the ids set implementation. The helper in DateProcessorFactoryTests
thus performs a sort on the set of ids before random picking from
the result, so I moved this to ESTestCase to make it publicly
available and changed all other tests to use that method.
This commit adds a variety of real disk metrics for the block devices
that back Elasticsearch data paths. A collection of statistics are read
from /proc/diskstats and are used to report the raw metrics for
operations and read/write bytes.
Relates #15915
This change does the following:
- Queries that are currently unsupported such as prefix queries on numeric
fields or term queries on geo fields now throw an error rather than returning
a query that does not match anything.
- Fuzzy queries on numeric, date and ip fields are now unsupported: they used
to create range queries, we now expect users to use range queries directly.
Fuzzy, regexp and prefix queries are now only supported on text/keyword
fields (including `_all`).
- The `_uid` and `_id` fields do not support prefix or range queries anymore as
it would prevent us to store them more efficiently in the future, eg. by
using a binary encoding.
Note that it is still possible to ignore these errors by using the `lenient`
option of the `match` or `query_string` queries.
Previously multiple extensions could be provided, however, this can lead
to confusion with on-disk scripts (ie, "foo.js" and "foo.javascript")
having different content. Only a single extension is now supported.
The only language currently supporting multiple extensions was the
Javascript engine ("js" and "javascript"). It now only supports the
`.js` extension.
Relates to #10598
This removes all the mentions of the sandbox from the script engine
services and permissions model. This means that the following settings
are no longer supported:
```yaml
script.inline: sandbox
script.stored: sandbox
```
Instead, only a `true` or `false` value can be specified.
Since this would otherwise break the default-allow parameter for
languages like expressions, painless, and mustache, all script engines
have been updated to have individual settings, for instance:
```yaml
script.engine.groovy.inline: true
```
Would enable all inline scripts for groovy. (they can still be
overridden on a per-operation basis).
Expressions, Painless, and Mustache all default to `true` for inline,
file, and stored scripts to preserve the old scripting behavior.
Resolves#17114
This makes it much easier to apply to other projects.
Fixes to doc tests infrastructure:
* Fix comparing lists. Was totally broken.
* Fix order of actual vs expected parameters.
* Allow multiple `// TESTRESPONSE` lines with substitutions to join
into one big list of subtitutions. This makes lets the docs look
tidier.
* Exclude build from snippet scanning
* Allow subclasses of ESRestTestCase access to the admin execution context
Most of the current implementations of BaseNodesResponse (plural Nodes) ignore FailedNodeExceptions.
- This adds a helper function to do the grouping to TransportNodesAction
- Requires a non-null array of FailedNodeExceptions within the BaseNodesResponse constructor
- Reads/writes the array to output
- Also adds StreamInput and StreamOutput methods for generically reading and writing arrays
The `ip` field uses a binary representation internally. This breaks when
rendering sort values in search responses since elasticsearch tries to write a
binary byte[] as an utf8 json string. This commit extends the `DocValueFormat`
API in order to give fields a chance to choose how to render values.
Closes#6077
In preparation for a unified release process, we need to be able to
generate the pom files independently of trying to actually publish. This
change adds back the maven-publish plugin just for that purpose. The
nexus plugin still exists for now, so that we do not break snapshots,
but that can be removed at a later time once snapshots are happenign
through the unified tools. Note I also changed the dir jars are written
into so that all our artifacts are under build/distributions.
Adds infrastructure so `gradle :docs:check` will extract tests from
snippets in the documentation and execute the tests. This is included
in `gradle check` so it should happen on CI and during a normal build.
By default each `// AUTOSENSE` snippet creates a unique REST test. These
tests are executed in a random order and the cluster is wiped between
each one. If multiple snippets chain together into a test you can annotate
all snippets after the first with `// TEST[continued]` to have the
generated tests for both snippets joined.
Snippets marked as `// TESTRESPONSE` are checked against the response
of the last action.
See docs/README.asciidoc for lots more.
Closes#12583. That issue is about catching bugs in the docs during build.
This catches *some* bugs in the docs during build which is a good start.
This commit introduces a handshake when initiating a light
connection. During this handshake, node information, cluster name, and
version are received from the target node of the connection. This
information can be used to immediately validate that the target node is
a member of the same cluster, and used to set the version on the
stream. This will allow us to extend APIs that are used during initial
cluster recovery without a major version change.
Relates #15971
This commit removes the method Strings#splitStringToArray and replaces
the call sites with invocations to String#split. There are only two
explanations for the existence of this method. The first is that
String#split is slightly tricky in that it accepts a regular expression
rather than a character to split on. This means that if s is a string,
s.split(".") does not split on the character '.', but rather splits on
the regular expression '.' which splits on every character (of course,
this is easily fixed by invoking s.split("\\.") instead). The second
possible explanation is that (again) String#split accepts a regular
expression. This means that there could be a performance concern
compared to just splitting on a single character. However, it turns out
that String#split has a fast path for the case of splitting on a single
character and microbenchmarks show that String#split has 1.5x--2x the
throughput of Strings#splitStringToArray. There is a slight behavior
difference between Strings#splitStringToArray and String#split: namely,
the former would return an empty array in cases when the input string
was null or empty but String#split will just NPE at the call site on
null and return a one-element array containing the empty string when the
input string is empty. There was only one place relying on this behavior
and the call site has been modified accordingly.
With this commit we compress HTTP responses provided the client
supports it (as indicated by the HTTP header 'Accept-Encoding').
We're also able to process compressed HTTP requests if needed.
The default compression level is lowered from 6 to 3 as benchmarks
have indicated that this reduces query latency with a negligible
increase in network traffic.
Closes#7309
Previously, we would determine index deletes in the cluster state by
comparing the index metadatas between the current cluster state and the
previous cluster state and decipher which ones were missing (the missing
ones are deleted indices). This led to a situation where a node that
went offline and rejoined the cluster could potentially cause dangling
indices to be imported which should have been deleted, because when a node
rejoins, its previous cluster state does not contain reliable state.
This commit introduces the notion of index tombstones in the cluster
state, where we are explicit about which indices have been deleted.
In the case where the previous cluster state is not useful for index
metadata comparisons, a node now determines which indices are to be
deleted based on these tombstones in the cluster state. There is also
functionality to purge the tombstones after exceeding a certain amount.
Closes#17265Closes#16358Closes#17435
This commit actually bounds the size of the generic thread pool. The
generic thread pool was of type cached, a thread pool with an unbounded
number of workers and an unbounded work queue. With this commit, the
generic thread pool is now of type scaling. As such, the cached thread
pool type has been removed. By default, the generic thread pool is
constructed with a core pool size of four, a max pool size of 128 and
idle workers can be reaped after a keep-alive time of thirty seconds
expires. The work queue for this thread pool remains unbounded.
When I pulled on the thread that is "Remove PROTOTYPEs from
SignificanceHeuristics" I ended up removing SignificanceHeuristicStreams
and replacing it with readNamedWriteable. That seems like a lot at once
but it made sense at the time. And it is what we want in the end, I think.
Anyway, this also converts registration of SignificanceHeuristics to
use ParseFieldRegistry to make them consistent with Queries, Aggregations
and lots of other stuff.
Adds a new and wonderous hack to support serialization checking of
NamedWriteables registered by plugins!
Related to #17085
This commit contains the following improvements/fixes:
1. Renaming method names and variables to better reflect the purpose
of the method and the semantics of the variable.
2. For deleting indexes, replace the closed parameter passed to the
delete index/store methods with obtaining the index's state from the
IndexSettings that is already passed in.
3. Added tests to the IndexWithShadowReplicaIT suite, some of which
show issues in the shadow replica delete process that are captured in
Github issue 17695.
Closes#17638
With this commit we limit the size of all in-flight requests on
HTTP level. The size is guarded by the same circuit breaker that
is also used on transport level. Similarly, the size that is used
is HTTP content length.
Relates #16011
With this commit we limit the size of all in-flight requests on
transport level. The size is guarded by a circuit breaker and is
based on the content size of each request.
By default we use 100% of available heap meaning that the parent
circuit breaker will limit the maximum available size. This value
can be changed by adjusting the setting
network.breaker.inflight_requests.limit
Relates #16011
We have a couple places in the code base that assume that search is always done
on the inverted index. However with the new points API in Lucene 6, this is not
true anymore. This commit makes MappedFieldType.indexedValueForSearch protected
and fixes call sites to keep working for field types that use the inverted
index and either work differently ar throw an exception otherwise. For instance,
it will still be possible to run cross_fields multi match queries on numeric
fields, but the score contributions will not be blended as well as before, and
significant terms aggregations on long terms will not be possible anymore since
points do not record document frequencies.
CBOR is natively supported in Elasticsearch and allows for byte arrays.
This means, that by using CBOR the user can prevent base64 conversions
for the data being sent back and forth.
This PR adds support to extract data from a byte array in addition to
a string. This also required to add a ByteArrayValueSource class.
Sometimes we get a test failure caused by search contexts left open.
The tests include a stack trace of the call that opened the context
but nothing else about the context. This adds more information about
the context that has been left open like what query it was running,
what shard it targeted, and whether or not it was a scroll.
Relates to #17582
We have both `Settings.settingsBuilder` and `Settings.builder` that do exactly
the same thing, so we should keep only one. I kept `Settings.builder` since it
has my preference but also it is the one that we use in examples of the Java API.
This removes the inconsistent output of IP addresses. The format was parsing-unfriendly and it makes it hard
to reason about API responses, such as to _nodes.
With this change in place, it will never print the hostname as part of the default format, which has the
added benefit that it can be used consistently for URIs, which was not the case when the hostname might
appear at the front with "hostname/ip:port".
Aggregations need to perform instanceof calls on MappedFieldType instances in
order to know how they should be parsed or formatted. Instead, we should let
the field types provide a formatter/parser that can can be used.