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Spring factories for Elasticsearch

Welcome to the Spring factories for Elasticsearch project.

The factory provides a High Level Rest Client for Elasticsearch and automatically create index settings and templates based on what is found in the classpath:

Documentation

  • For 7.x elasticsearch versions, you are reading the latest documentation.
  • For 6.x elasticsearch versions, look at es-6.x branch.
  • For 5.x elasticsearch versions, look at es-5.x branch.
  • For 2.x elasticsearch versions, look at es-2.x branch.
  • For 1.x elasticsearch versions, look at es-1.4 branch.
  • For 0.x elasticsearch versions, look at 0.x branch.
spring-elasticsearch elasticsearch Spring Release date
7.2-SNAPSHOT 7.0 - 7.x 5.3.15
7.1 7.0 - 7.x 5.3.15 2022-01-13
7.0 7.0 - 7.x 5.3.8 2021-06-21
6.7 6.7 - 6.x 5.1.3 2019-04-13
6.2 6.0 - 6.x 5.1.3 2019-01-08
6.1 6.0 - 6.x 5.0.7 2018-07-22
6.0 6.0 - 6.x 5.0.3 2018-02-08
5.0 5.0 - 5.x 4.3.10 2018-02-04
2.2.0 2.0 - 2.4 4.2.3 2017-03-09
2.1.0 2.0, 2.1 4.2.3 2015-11-25
2.0.0 2.0 4.1.4 2015-10-25
1.4.2 < 2.0 4.1.4 2015-03-03
1.4.1 1.4 4.1.4 2015-02-28
1.4.0 1.4 4.1.4 2015-01-03
1.3.0 1.3 4.0.6 2014-09-01
1.0.0 1.0 3.2.2 2014-02-14

Build Status

Maven Central Build Status

Release notes

Changes in 7.x

  • Nothing yet ;)

Changes in 7.1

  • Update to Beyonder 7.16 which brings in support for index lifecycles. You can add your index lifecycles policies in the _index_lifecycles dir.

Major (breaking) changes in 7.0

  • The TransportClient has been removed.

  • As in Elasticsearch 7.x, only one single type is supported, you need to provide the mapping within the index settings ( _settings.json file). As a consequence:

  • forceMapping setting has been replaced by forceIndex.

  • mappings setting has been replaced by indices.

  • mergeMapping setting has been removed.

  • forceTemplate setting has been removed. A template should be always updated.

  • _template dir has been deprecated by _templates dir.

Getting Started

Maven dependency

Import spring-elasticsearch in you project pom.xml file:

<dependency>
  <groupId>fr.pilato.spring</groupId>
  <artifactId>spring-elasticsearch</artifactId>
  <version>7.1</version>
</dependency>

If you want to set a specific version of the High Level Rest client, add it to your pom.xml file:

<dependency>
    <groupId>org.elasticsearch.client</groupId>
    <artifactId>elasticsearch-rest-high-level-client</artifactId>
    <version>7.16.3</version>
</dependency>

If you want to try out the most recent SNAPSHOT version deployed on Sonatype:

<dependency>
  <groupId>fr.pilato.spring</groupId>
  <artifactId>spring-elasticsearch</artifactId>
  <version>7.2-SNAPSHOT</version>
</dependency>

Don't forget to add if needed the following repository in your pom.xml:

<repositories>
    <repository>
        <id>oss-snapshots</id>
        <name>Sonatype OSS Snapshots</name>
        <url>https://s01.oss.sonatype.org/content/repositories/snapshots/</url>
        <releases><enabled>false</enabled></releases>
        <snapshots><enabled>true</enabled></snapshots>
    </repository>
</repositories>

If you depend on an elasticsearch SNAPSHOT version, you need to add the following repository to your pom.xml:

<repositories>
    <repository>
        <id>elastic-snapshots</id>
        <name>Elastic Snapshots</name>
        <url>http://snapshots.elastic.co/maven/</url>
        <releases><enabled>false</enabled></releases>
        <snapshots><enabled>true</enabled></snapshots>
    </repository>
</repositories>

Logger

We are using slf4j for logging but you have to provide the logging implementation you want to use and bind it.

For example for this project we are using for tests log4j2. If you want to do so, add to your pom.xml:

<dependency>
    <groupId>org.apache.logging.log4j</groupId>
    <artifactId>log4j-1.2-api</artifactId>
    <version>2.17.1</version>
</dependency>
<dependency>
    <groupId>org.apache.logging.log4j</groupId>
    <artifactId>log4j-slf4j-impl</artifactId>
    <version>2.17.1</version>
</dependency>
<dependency>
    <groupId>org.apache.logging.log4j</groupId>
    <artifactId>log4j-core</artifactId>
    <version>2.17.1</version>
</dependency>

Using Java Annotations

Let's say you want to use Spring Java Annotations, here is a typical application you can build.

pom.xml:

<?xml version="1.0" encoding="UTF-8"?>
<project xmlns="http://maven.apache.org/POM/4.0.0"
         xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
         xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
    <modelVersion>4.0.0</modelVersion>

    <groupId>fr.pilato.tests</groupId>
    <artifactId>spring-elasticsearch-test</artifactId>
    <version>1.0-SNAPSHOT</version>

    <dependencies>
        <dependency>
            <groupId>fr.pilato.spring</groupId>
            <artifactId>spring-elasticsearch</artifactId>
            <version>7.1</version>
        </dependency>
    </dependencies>
</project>

App.java:

package fr.pilato.tests;

import fr.pilato.spring.elasticsearch.ElasticsearchRestClientFactoryBean;
import org.elasticsearch.client.RequestOptions;
import org.elasticsearch.client.RestHighLevelClient;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.context.annotation.AnnotationConfigApplicationContext;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.stereotype.Component;

import java.io.IOException;

@Component
public class RestApp {

    @Configuration
    public class AppConfig {
        @Bean
        public RestHighLevelClient esClient() throws Exception {
            ElasticsearchRestClientFactoryBean factory = new ElasticsearchRestClientFactoryBean();
            factory.setEsNodes(new String[]{"http://127.0.0.1:9200"});

            // Begin: If you are running with x-pack
            Properties props = new Properties();
            props.setProperty("xpack.security.user", "elastic:changeme");
		    factory.setProperties(props);
            // End: If you are running with x-pack

            factory.afterPropertiesSet();
            return factory.getObject();
        }
    }

    @Autowired
    private RestHighLevelClient client;

    public static void main(String[] args) throws IOException {
        AnnotationConfigApplicationContext context = new AnnotationConfigApplicationContext();
        context.scan("fr.pilato.tests");
        context.refresh();

        RestApp p = context.getBean(RestApp.class);
        p.run();

        context.close();
    }

    private void run() throws IOException {
        // Run a High Level request
        client.info(RequestOptions.DEFAULT);
        // You still have access to the Low Level client
        client.getLowLevel().performRequest(new Request("GET", "/"));
    }
}

Features

The factory provides a High Level Rest Client for Elasticsearch and automatically create index settings and templates based on what is found in the classpath:

Autoscan

By default, the factory will scan the classpath inside the default /es directory. You can disable the autoscan and then provide manually every name for indices, templates...

ElasticsearchRestClientFactoryBean factory = new ElasticsearchRestClientFactoryBean();
factory.setAutoscan(false);
factory.setIndices(new String[]{"twitter"});

Default directory

You can change the default directory from /es to something else. The factory will look into this directory to find the indices and the settings for the indices, templates...

ElasticsearchRestClientFactoryBean factory = new ElasticsearchRestClientFactoryBean();
factory.setClasspathRoot("/foo");

Indices

If you add in your classpath a file named /es/twitter/_settings.json, it will be automatically applied to define settings for your twitter index.

For example, create the following file src/main/resources/es/twitter/_settings.json in your project:

{
  "settings" : {
    "number_of_shards" : 3,
    "number_of_replicas" : 2
  },
  "mappings": {
    "properties" : {
      "message" : {"type" : "text", "store" : "yes"}
    }
  }
}

If you need to update settings for an existing index, let say twitter, add a file named /es/twitter/_update_settings.json in your classpath. The factory will detect it and will try to update the settings:

{
  "index" : {
    "number_of_replicas" : 1
  }
}

If you want to remove the existing indices every time the factory starts, you can use the forceIndex option:

ElasticsearchRestClientFactoryBean factory = new ElasticsearchRestClientFactoryBean();
// Be careful: IT WILL REMOVE ALL EXISTING DATA FOR THE MANAGED INDICES.
factory.setForceIndex(true);

Be careful: IT WILL REMOVE ALL EXISTING DATA FOR THE MANAGED INDICES.

Component templates

This feature will call the Component Templates APIs. It's very common to use it with index templates.

Let say you want to create a component template named component1. Just create a file named /es/_component_templates/component1.json:

{
  "template": {
    "mappings": {
      "properties": {
        "@timestamp": {
          "type": "date"
        }
      }
    }
  }
}

Let say you want to create a component template named component2. Just create a file named /es/_component_templates/component2.json:

{
  "template": {
    "mappings": {
      "runtime": {
        "day_of_week": {
          "type": "keyword",
          "script": {
            "source": "emit(doc['@timestamp'].value.dayOfWeekEnum.getDisplayName(TextStyle.FULL, Locale.ROOT))"
          }
        }
      }
    }
  }
}

You can use then the 2 component templates in an index template as shown below.

Index templates

This feature will call the Index Templates APIs. It can be used with component templates.

Let say you want to create an index template named template_1. Just create a file named /es/_index_templates/template_1.json:

{
  "index_patterns": ["te*", "bar*"],
  "template": {
    "settings": {
      "number_of_shards": 1
    },
    "mappings": {
      "_source": {
        "enabled": true
      },
      "properties": {
        "host_name": {
          "type": "keyword"
        },
        "created_at": {
          "type": "date",
          "format": "EEE MMM dd HH:mm:ss Z yyyy"
        }
      }
    },
    "aliases": {
      "mydata": { }
    }
  },
  "priority": 500,
  "composed_of": ["component1", "component2"],
  "version": 3,
  "_meta": {
    "description": "my custom"
  }
}

Note that this index template is using the 2 component templates that have been defined in the previous section.

Templates (deprecated)

Templates have been deprecated by Elasticsearch. You should now use Index Templates instead. With this factory, you can look at Index Templates to use the new implementation.

Sometimes it's useful to define a template mapping that will automatically be applied to new indices created.

For example, if you planned to have indexes per year for twitter feeds (twitter2012, twitter2013, twitter2014) and you want to define a template named twitter_template, you have to define a file named /es/_templates/twitter_template.json in your project:

{
    "index_patterns" : "twitter*",
    "settings" : {
        "number_of_shards" : 1
    },
    "mappings" : {
        "properties" : {
            "message" : {
                "type" : "text",
                "store" : "yes"
            }
        }
    }
}

Aliases

An alias is helpful to define or remove an alias to a given index. You could also use an index templates to do that automatically when at index creation time, but you can also define a file /es/_aliases.json:

{
  "actions" : [
    { "remove": { "index": "test_1", "alias": "test" } },
    { "add":  { "index": "test_2", "alias": "test" } }
  ]
}

When the factory starts, it will automatically send the content to the Aliases API and move the alias test from index test_1 to index test_2.

Ingest Pipelines

This feature will call the Ingest Pipelines APIs

Let say you want to create an ingest pipeline named pipeline1. Just create a file named /es/_pipeline/pipeline1.json:

{
  "description": "My optional pipeline description",
  "processors": [
    {
      "set": {
        "description": "My optional processor description",
        "field": "my-long-field",
        "value": 10
      }
    },
    {
      "set": {
        "description": "Set 'my-boolean-field' to true",
        "field": "my-boolean-field",
        "value": true
      }
    },
    {
      "lowercase": {
        "field": "my-keyword-field"
      }
    }
  ]
}

Index Lifecycles Policies

This feature will call the Index Lifecycle APIs.

Let say you want to create a policy named policy1. Just create a file named /es/_index_lifecycles/policy1.json:

{
  "policy": {
    "phases": {
      "warm": {
        "min_age": "10d",
        "actions": {
          "forcemerge": {
            "max_num_segments": 1
          }
        }
      },
      "delete": {
        "min_age": "30d",
        "actions": {
          "delete": {}
        }
      }
    }
  }
}

It will be automatically loaded into elasticsearch when you start the factory. If you want to apply this policy to your index, you can define the following settings for the index in /es/twitter/_settings.json:

{
	"settings" : {
		"index.lifecycle.name": "policy1"
	}
}

Using XML (deprecated)

Using elasticsearch spring namespace for XML files

In your spring context file, just add namespaces like this:

<?xml version="1.0" encoding="UTF-8"?>
<beans xmlns="http://www.springframework.org/schema/beans"
       xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
       xmlns:elasticsearch="http://www.pilato.fr/schema/elasticsearch"
       xsi:schemaLocation="http://www.springframework.org/schema/beans http://www.springframework.org/schema/beans/spring-beans-3.0.xsd
		http://www.pilato.fr/schema/elasticsearch http://www.pilato.fr/schema/elasticsearch/elasticsearch-7.0.xsd">
</beans>

Then, you can get a REST High Level Client instance with:

<elasticsearch:rest-client id="esClient" />

Using convention over configuration

By default, the factory will find every mapping file located under es directory. So, if you have a mapping file named /es/twitter/_doc.json in your classpath, it will be automatically used by the factory without defining anything:

<elasticsearch:rest-client id="esClient" />

You can disable this automatic lookup by setting the autoscan property to false:

<elasticsearch:rest-client id="esClient" autoscan="false" indices="twitter" />

Changing classpath search path for mapping and settings files

By default, the factory look in es classpath folder to find if there is any of the files which are used by the factory. If you need to change it, you can use the classpathRoot property:

<elasticsearch:rest-client id="esClient" classpathRoot="myownfolder" />

So, if a myownfolder/twitter/_settings.json file exists in your classpath, it will be used by the factory.

Define a rest client bean

In your spring context file, just define a client like this:

<elasticsearch:rest-client id="esClient" />

By default, you will get an Elasticsearch High Level Rest Client connected to an Elasticsearch node already running at http://localhost:9200.

You can set the nodes you want to connect to:

<elasticsearch:rest-client id="esClient" esNodes="http://localhost:9200,http://localhost:9201" />

Injecting the rest client in your java project

You can use the rest client in your java classes.

import org.elasticsearch.client.RestHighLevelClient;

RestHighLevelClient client = ctx.getBean("esClient", RestHighLevelClient.class);

Better, you should use @Autowired annotation.

// Inject your client...
@Autowired RestHighLevelClient client;

Connecting to a secured X-Pack cluster

You need to define the xpack.security.user property as follows:

<util:properties id="esProperties">
    <prop key="xpack.security.user">elastic:changeme</prop>
</util:properties>

<elasticsearch:rest-client id="esClient" properties="esProperties" />

Asynchronous initialization

Client bean initialization is by default synchronously. It can be initialized asynchronously with the attributes async and taskExecutor.

<task:executor pool-size="4" id="taskExecutor"/>
<elasticsearch:rest-client id="esClient" async="true" taskExecutor="taskExecutor"/>

Asynchronous initialization does not block Spring startup but it continues on background on another thread. Any methods call to these beans before elasticsearch is initialized will be blocked. taskExecutor references a standard Spring's task executor.

Managing indices

If you want to manage indices at startup (creating missing indices and applying optional settings):

<elasticsearch:rest-client id="esClient"
                           indices="twitter" />

This will create an Elasticsearch High Level Rest Client and will create an index twitter.

If you need to manage more than one index, just use a comma separated list:

<elasticsearch:rest-client id="esClient" 
                           indices="twitter,facebook" />

If you need to update settings for an existing twitter index, add a file named
/es/twitter/_update_settings.json in your classpath. The factory will detect it and will try to update settings unless you explicitly set mergeSettings to false.

<elasticsearch:rest-client id="esClient" mergeSettings="false" />

If updating the settings fails, the factory will not start.

For test purpose or for continuous integration, you could force the factory to clean the previous indices when starting the client. It will remove all your datas for every index which has been defined. Just set forceIndex property to true.

<elasticsearch:rest-client id="esClient" forceIndex="true" />

Creating aliases to indices

When creating an index, it could be useful to add an alias on it. For example, if you planned to have indexes per year for twitter feeds (twitter2012, twitter2013, twitter2014) and you want to define an alias named twitter, you can use the aliases property:

<elasticsearch:rest-client id="esClient" 
                           aliases="twitter:twitter2012,twitter:twitter2013,twitter:twitter2014" />

Creating templates (deprecated)

If you are not using autoscan, you can use the templates property to define the templates:

<!--
    We add also a facebook_template template just for showing how to
    define more than one template...
-->
<elasticsearch:rest-client id="esClient" 
                           templates="twitter_template,facebook_template" />

Creating ingest pipelines

If you are not using autoscan, you can use the pipelines property to define the templates:

<elasticsearch:rest-client id="esClient"
                           pipelines="pipeline1,pipeline2" />

Old fashion bean definition

Note that you can use the old fashion method to define your beans instead of using <elasticsearch:...> namespace:

<?xml version="1.0" encoding="UTF-8"?>
<beans xmlns="http://www.springframework.org/schema/beans"
	xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
    xmlns:util="http://www.springframework.org/schema/util"
	xsi:schemaLocation="http://www.springframework.org/schema/beans http://www.springframework.org/schema/beans/spring-beans-3.0.xsd
		http://www.springframework.org/schema/util http://www.springframework.org/schema/util/spring-util-3.0.xsd">

    <util:map id="esproperties">
        <entry key="cluster.name" value="newclustername"/>
    </util:map>

    <!-- The Rest Client -->
    <bean id="esRestClient" class="fr.pilato.spring.elasticsearch.ElasticsearchRestClientFactoryBean" >
        <property name="esNodes">
            <list>
                <value>http://localhost:9200</value>
                <value>http://localhost:9201</value>
            </list>
        </property>

        <property name="autoscan" value="false" />
        <property name="indices">
            <list>
                <value>twitter</value>
            </list>
        </property>
        <property name="classpathRoot" value="myownfolder" />
        <property name="forceIndex" value="true" />
        <property name="mergeSettings" value="true" />
        <property name="componentTemplates">
            <list>
                <value>component1</value>
                <value>component2</value>
            </list>
        </property>
        <property name="indexTemplates">
            <list>
                <value>template_1</value>
            </list>
        </property>
        <property name="templates">
            <list>
                <value>twitter_template</value>
            </list>
        </property>
        <property name="pipelines">
            <list>
                <value>pipeline1</value>
            </list>
        </property>
        <property name="aliases">
            <list>
                <value>twitter:twitter2012</value>
                <value>twitter:twitter2013</value>
                <value>twitter:twitter2014</value>
            </list>
        </property>
    </bean>

</beans>

Thanks

Special thanks to

Running tests

If you want to run tests (integration tests) from your IDE, you need to start first an elasticsearch instance. Tests are expecting a node running at localhost:9200.

To run the tests using Maven (on the CLI), just run:

mvn clean install

Release guide

To release the project you need to run the release plugin with the release profile as you need to sign the artifacts:

mvn release:prepare
git push --tags
git push
mvn release:perform -Prelease

If you need to skip the tests, run:

mvn release:perform -Prelease -Darguments="-DskipTests"

If everything is ok in https://s01.oss.sonatype.org/#stagingRepositories, you can perform the release with:

mvn nexus-staging:release
mvn nexus-staging:drop

To announce the release, run:

cd target/checkout
# Run the following command if you want to check the announcement email
mvn changes:announcement-generate
cat target/announcement/announcement.vm

# Announce the release (change your smtp username and password)
mvn changes:announcement-mail -Dchanges.username='YourSmtpUserName' -Dchanges.password='YourSmtpUserPassword'

License

This software is licensed under the Apache 2 license, quoted below.

Copyright 2011-2022 David Pilato

Licensed under the Apache License, Version 2.0 (the "License"); you may not
use this file except in compliance with the License. You may obtain a copy of
the License at

    http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
License for the specific language governing permissions and limitations under
the License.