Elasticsearch Java Rest Client..zip

# Jest Jest is a Java HTTP Rest client for [ElasticSearch](http://www.elasticsearch.org). ElasticSearch is an Open Source (Apache 2), Distributed, RESTful, Search Engine built on top of Apache Lucene. ElasticSearch already has a Java API which is also used by ElasticSearch internally, [but Jest fills a gap, it is the missing client for ElasticSearch Http Rest interface](#comparison-to-native-api). >Read great [introduction](http://www.ibm.com/developerworks/java/library/j-javadev2-24/index.html?ca=drs-) to ElasticSearch and Jest from IBM Developer works. Installation ------------ ### Stable Jest maven repository is hosted on [Sonatype](http://www.sonatype.org) which is then synced to [Maven Central](http://search.maven.org/#search%7Cga%7C1%7Cg%3A%22io.searchbox%22) with a slight delay. To get the latest *stable* version without waiting for Maven Central sync add Sonatype repository definition to your root pom.xml ``` xml <repositories> . . <repository> <id>sonatype</id> <name>Sonatype Groups</name> <url>https://oss.sonatype.org/content/groups/public/</url> </repository> . . </repositories> ``` Add Jest as a dependency to your project. ``` xml <dependency> <groupId>io.searchbox</groupId> <artifactId>jest</artifactId> <version>5.3.3</version> </dependency> ``` ### Snapshot Jest also publishes a snapshot version on [Sonatype Snapshot Repository](https://oss.sonatype.org/content/repositories/snapshots) after every push resulting in a successfull build. To get the latest *snapshot* version add Sonatype Snapshot Repository definition to your root pom.xml ``` xml <repositories> . . <repository> <id>snapshots-repo</id> <url>https://oss.sonatype.org/content/repositories/snapshots</url> <releases><enabled>false</enabled></releases> <snapshots><enabled>true</enabled></snapshots> </repository> . . </repositories> ``` Add Jest snapshot as a dependency to your project. ``` xml <dependency> <groupId>io.searchbox</groupId> <artifactId>jest</artifactId> <version>2.0.1-SNAPSHOT</version> </dependency> ``` >Ensure to check [the Changelog](https://github.com/searchbox-io/Jest/wiki/Changelog). Usage ------------ Start using Jest by simply creating a `JestClient` instance: ``` java // Construct a new Jest client according to configuration via factory JestClientFactory factory = new JestClientFactory(); factory.setHttpClientConfig(new HttpClientConfig .Builder("http://localhost:9200") .multiThreaded(true) //Per default this implementation will create no more than 2 concurrent connections per given route .defaultMaxTotalConnectionPerRoute(<YOUR_DESIRED_LEVEL_OF_CONCURRENCY_PER_ROUTE>) // and no more 20 connections in total .maxTotalConnection(<YOUR_DESIRED_LEVEL_OF_CONCURRENCY_TOTAL>) .build()); JestClient client = factory.getObject(); ``` > `JestClient` is designed to be singleton, don't construct it for each request! ### Creating an Index To create an index just pass the associated `CreateIndex` action to the client: ``` java client.execute(new CreateIndex.Builder("articles").build()); ``` Index settings can also be passed during the creation by * using a JSON formatted string: ``` java String settings = "\"settings\" : {\n" + " \"number_of_shards\" : 5,\n" + " \"number_of_replicas\" : 1\n" + " }\n"; client.execute(new CreateIndex.Builder("articles").settings(Settings.builder().loadFromSource(settings).build().getAsMap()).build()); ``` * using the `SettingsBuilder` helper class from Elasticsearch: ``` java import org.elasticsearch.common.settings.Settings; . . Settings.Builder settingsBuilder = Settings.builder(); settingsBuilder.put("number_of_shards",5); settingsBuilder.put("number_of_replicas",1); client.execute(new CreateIndex.Builder("articles").settings(settingsBuilder.build().getAsMap()).build()); ``` >Add ElasticSearch dependency to use Settings api ### Creating an Index Mapping An index mapping can be created via Jest with ease, just pass the mapping source as a JSON formatted string. ``` java PutMapping putMapping = new PutMapping.Builder( "my_index", "my_type", "{ \"my_type\" : { \"properties\" : { \"message\" : {\"type\" : \"string\", \"store\" : \"yes\"} } } }" ).build(); client.execute(putMapping); ``` The helper class `DocumentMapper.Builder` from Elasticsearch can also be used to create the mapping source. ``` java import org.elasticsearch.index.mapper.DocumentMapper; import org.elasticsearch.index.mapper.core.StringFieldMapper; import org.elasticsearch.index.mapper.object.RootObjectMapper; . . RootObjectMapper.Builder rootObjectMapperBuilder = new RootObjectMapper.Builder("my_mapping_name").add( new StringFieldMapper.Builder("message").store(true) ); DocumentMapper documentMapper = new DocumentMapper.Builder("my_index", null, rootObjectMapperBuilder).build(null); String expectedMappingSource = documentMapper.mappingSource().toString(); PutMapping putMapping = new PutMapping.Builder( "my_index", "my_type", expectedMappingSource ).build(); client.execute(putMapping); ``` >Add ElasticSearch dependency to use DocumentMapper.Builder api ### Indexing Documents ElasticSearch requires index data as JSON. There are several ways to create documents to index via Jest. From now on, we will refer documents as source. Source objects can be String, Map or POJOs. as JSON String; ``` java String source = "{\"user\":\"kimchy\"}"; ``` or creating JSON via ElasticSearch JSONBuilder; ``` java String source = jsonBuilder() .startObject() .field("user", "kimchy") .field("postDate", "date") .field("message", "trying out Elastic Search") .endObject().string(); ``` as Map; ``` java Map<String, String> source = new LinkedHashMap<String,String>(); source.put("user", "kimchy"); ``` as POJO; ``` java Article source = new Article(); source.setAuthor("John Ronald Reuel Tolkien"); source.setContent("The Lord of the Rings is an epic high fantasy novel"); ``` An example of indexing given source to twitter index with type tweet; ``` java Index index = new Index.Builder(source).index("twitter").type("tweet").build(); client.execute(index); ``` Index id can be typed explicitly; ``` java Index index = new Index.Builder(source).index("twitter").type("tweet").id("1").build(); client.execute(index); ``` @JestId annotation can be used to mark a property of a bean as id; ```java class Article { @JestId private String documentId; } ``` Now whenever an instance of Article is indexed, index id will be value of documentId. If @JestId value is null, it will be set the value of ElasticSearch generated "_id". Jest also supports using JestId annotation on fields with type other than String but the catch is then you will need to manually manage the document IDs. ```java class NumericArticle { @JestId private Long documentId; } ``` It should be noted that when a non-String type is used for the documentId, conversion errors may occur unless you manually manage the documentId. For example if a NumericArticle instance without a documentId is indexed then Elasticsearch will assign an automatically generated id to that document but Jest will not be able to convert that id to Long since all id fields are of type String in Elasticsearch and the auto generated id contains non numeric characters. So the non-String type support for JestId annotation is purely for ease of use and should not be used if you plan to use the automatic id generation functionality of Elasticsearch. #### Version field support (aka Optimistic Concurrency Control) `_version` field for documents are supported via the @JestVersion annotation. Marking a property of your bean with @JestVersion will cause that field to be serialized and deserialized as `_version` in the document JSON communicated to Elasticsearch. This in turn lets