This commit moves ignore_malformed and coerce options from the GeoPointFieldType to the Builder in GeoPointFieldMapper. This makes these options consistent with other types in 2.0.
This was supposed to just help the user, in case they misconfigured something.
Broadcast is an ipv4 only thing, the only way you can really detect its a broadcast
address, is to look and see if an interface has that address as its broadcast address.
But we cannot trust that container interfaces won't have a crazy setup...
Closes#13327
The match_phrase_prefix query properly parses the boost etc. but it loses it in its rewrite method. Fixed that by setting the orginal boost to the rewritten query before returning it. Also cleaned up some warning in MultiPhrasePrefixQuery.
Closes#13129Closes#13142
Target-type inference has been improved in Java 8. This leads to these
lines now being interpreted as invoking String#valueOf(char[]) whereas
they previously were interpreted as invoking String#valueOf(Object).
This change leads to ClassCastExceptions during test execution. Simply
casting the parameter to Object restores the old invocation.
Closes#13315
We have some optimization in FilteredQueryParser that tries to mimic what the rewrite method in lucene does, based on what gets parsed we return the simplest query possible. That might cause issues with boost values though, if specified in both the main query and the inner query that we shortcut to. We should rather rely on lucene's rewrite method to simplify the lucene representation of the query, and always build a filtered query instead.
relates to #13272Closes#13312
We currently optimize scroll when sort=_doc because docs are returned in order.
But documents are also returned in order when sorting by score and the query
gives constant scores. This optimization has the nice side-effect of also
optimizing scrolls with the default `match_all` query.
Until now we had a cloud-aws plugin which is providing 2 disctinct features:
* discovery on EC2
* snapshot/restore on S3
This commit splits the plugin by feature so people can use either one or the other or both features.
Doc is updated accordingly.
Before this change the check would check that all test classes end in Tests but the message would say they need to end in Test or Tests which was confusing.
Today we always collect in order to compute counts, but some of them can be
easily optimized by using pre-computed index statistics. This is especially
true in the case that there are no deletions, which should be common for the
time-based data use-case.
Counts on match_all queries can always be optimized, so requests like
```
GET index/_search?size=0
GET index/_search
{
"size": 0,
"query" : {
"match_all": {}
}
}
```
should now return almost instantly. Additionally, when there are no deletions,
term queries are also optimized, so the below queries which all boil down to a
single term query would also return almost immediately:
```
GET index/type/_search?size=0
GET index/_search
{
"size": 0,
"query" : {
"match": {
"foo": "bar"
}
}
}
GET index/_search
{
"size": 0,
"query" : {
"constant_score": {
"filter": {
"exists": {
"field": "foo"
}
}
}
}
}
```
Users might specify something like -Des.network.host=0.0.0.0, as that
was the old default with previous versions of elasticsearch. This means
to bind to all interfaces, but it makes no sense as a publish address.
Pick a good one in this case, just like we do in other cases where
publish isn't explicitly specified and we are bound to multiple (e.g.
when configured by interface, or dns hostname with multiple addresses).
However, in this case warn the user about it: since its arbitrarily
picking the first non-loopback address like the old versions
did, thats a little too heuristical, but lets make the cutover easy.
Separately, fail hard if things like multicast or broadcast addresses are
configured as bind or publish addresses, as that is simply invalid.
Closes#13274
The number and distribution of errors in some restore test may cause restore process to continue to fail for a prolong time. This test caps the total number of simulated failures to make sure that restore is guaranteed to eventually succeed after a limited number of retries.
We currently have a small number of test classes with the suffix "Test",
yet most use the suffix "Tests". This change renames all the "Test"
classes, so that we have a simple rule: "Non-inner classes ending with
Tests".
These are not actually tests, but command line applications that must be
run manually. This change removes the entire stresstest package. We can
add back individual tests that we find necessary, and make them real
tests (whether integ or not).
While the list of having exclusions is small, it shouldn't be necessary
at all. Base test cases should be suffixed with TestCase so they are not
picked up by the test class name pattern. This same rule works for
abstract classes as well.
This change renames abstract tests to use the TestCase suffix, adds a
check in naming convention tests, and removes the exclusion from our
test runner configuration. It also excludes inner classes (the only
exclude we should have IMO), so that we have no need to @Ignore the
inner test classes for naming convention tests.
In this test we assume that after waitForRelocation() has returned shards
are no more relocated and optimize will therefore succeed always.
However, because the test does not wait for green status, relocations can
still start after waitForRelocation() has returned successfully.
see #13266 for a detailed explanation
At the moment if an index script is used in a request, the spawned request to get the indexed script from the `.scripts` index does not get the headers and context copied to it from the original request. This change makes the calls to the `ScriptService` pass in a `HasContextAndHeaders` object that can provide the headers and context. For the `search()` method the context and headers are retrieved from `SearchContext.current()`.
Closes#12891
The shaded version of elasticsearch was built at the very beginning to avoid dependency conflicts in a specific case where:
* People use elasticsearch from Java
* People needs to embed elasticsearch jar within their own application (as it's today the only way to get a `TransportClient`)
* People also embed in their application another (most of the time older) version of dependency we are using for elasticsearch, such as: Guava, Joda, Jackson...
This conflict issue can be solved within the projects themselves by either upgrade the dependency version and use the one provided by elasticsearch or by shading elasticsearch project and relocating some conflicting packages.
Example
-------
As an example, let's say you want to use within your project `Joda 2.1` but elasticsearch `2.0.0-beta1` provides `Joda 2.8`.
Let's say you also want to run all that with shield plugin.
Create a new maven project or module with:
```xml
<groupId>fr.pilato.elasticsearch.test</groupId>
<artifactId>es-shaded</artifactId>
<version>1.0-SNAPSHOT</version>
<properties>
<elasticsearch.version>2.0.0-beta1</elasticsearch.version>
</properties>
<dependencies>
<dependency>
<groupId>org.elasticsearch</groupId>
<artifactId>elasticsearch</artifactId>
<version>${elasticsearch.version}</version>
</dependency>
<dependency>
<groupId>org.elasticsearch.plugin</groupId>
<artifactId>shield</artifactId>
<version>${elasticsearch.version}</version>
</dependency>
</dependencies>
```
And now shade and relocate all packages which conflicts with your own application:
```xml
<build>
<plugins>
<plugin>
<groupId>org.apache.maven.plugins</groupId>
<artifactId>maven-shade-plugin</artifactId>
<version>2.4.1</version>
<executions>
<execution>
<phase>package</phase>
<goals>
<goal>shade</goal>
</goals>
<configuration>
<relocations>
<relocation>
<pattern>org.joda</pattern>
<shadedPattern>fr.pilato.thirdparty.joda</shadedPattern>
</relocation>
</relocations>
</configuration>
</execution>
</executions>
</plugin>
</plugins>
</build>
```
You can create now a shaded version of elasticsearch + shield by running `mvn clean install`.
In your project, you can now depend on:
```xml
<dependency>
<groupId>fr.pilato.elasticsearch.test</groupId>
<artifactId>es-shaded</artifactId>
<version>1.0-SNAPSHOT</version>
</dependency>
<dependency>
<groupId>joda-time</groupId>
<artifactId>joda-time</artifactId>
<version>2.1</version>
</dependency>
```
Build then your TransportClient as usual:
```java
TransportClient client = TransportClient.builder()
.settings(Settings.builder()
.put("path.home", ".")
.put("shield.user", "username:password")
.put("plugin.types", "org.elasticsearch.shield.ShieldPlugin")
)
.build();
client.addTransportAddress(new InetSocketTransportAddress(new InetSocketAddress("localhost", 9300)));
// Index some data
client.prepareIndex("test", "doc", "1").setSource("foo", "bar").setRefresh(true).get();
SearchResponse searchResponse = client.prepareSearch("test").get();
```
If you want to use your own version of Joda, then import for example `org.joda.time.DateTime`. If you want to access to the shaded version (not recommended though), import `fr.pilato.thirdparty.joda.time.DateTime`.
You can run a simple test to make sure that both classes can live together within the same JVM:
```java
CodeSource codeSource = new org.joda.time.DateTime().getClass().getProtectionDomain().getCodeSource();
System.out.println("unshaded = " + codeSource);
codeSource = new fr.pilato.thirdparty.joda.time.DateTime().getClass().getProtectionDomain().getCodeSource();
System.out.println("shaded = " + codeSource);
```
It will print:
```
unshaded = (file:/path/to/joda-time-2.1.jar <no signer certificates>)
shaded = (file:/path/to/es-shaded-1.0-SNAPSHOT.jar <no signer certificates>)
```
This PR also removes fully-loaded module.
By the way, the project can now build with Maven 3.3.3 so we can relax a bit our maven policy.
