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概 述
Elasticsearch 在企业里落地的场景越来越多了，但是大家在项目里使用 Elasticsearch的姿势也是千奇百怪，这次正好自己需要使用，所以干脆就封装一个 elasticsearch-spring-boot-starter以供复用好了。如果不知道 spring-boot-starter该如何制作，可以参考文章《如何自制一个Spring Boot Starter并推送到远端公服》，下面就来简述一下自制的 elasticsearch-spring-boot-starter该如何使用。
依赖引入
<dependency>
<groupId>com.github.hansonwang99</groupId>
<artifactId>elasticsearch-spring-boot-starter</artifactId>
<version>0.0.8</version>
</dependency>
<repositories>
<repository>
<id>jitpack.io</id>
<url>https://jitpack.io</url>
</repository>
</repositories>
配置文件
如果你还没有一个属于自己的 Elasticsearch集群，可以参考文章 《CentOS7 上搭建多节点 Elasticsearch集群》来一步步搭建之，本文实验所用的集群即来源于此。
elasticsearch:
host: 192.168.31.75
httpPort: 9200
tcpPort: 9300
clusterName: codesheep
docFields: title,filecontent
auth:
enable: false
各个字段解释如下：
-
host：Elasticsearch 节点地址
-
httpPort: Elasticsearch REST端口
-
tcpPort：Elasticsearch TCP端口
-
clusterName：集群名
-
docFields：文档字段，以英文逗号间隔，比如我这里的业务场景是文档包含 标题（title）和 内容（filecontent）字段
-
auth：是否需要权限认证
由于我这里安装的实验集群并无 x-pack权限认证的加持，因此无需权限认证，实际使用的集群或者阿里云上的 Elasticsearch集群均有完善的 x-pack权限认证，此时可以加上用户名/密码的配置：
elasticsearch:
host: 192.168.199.75
httpPort: 9200
tcpPort: 9300
clusterName: codesheep
docFields: title,filecontent
auth:
enable: true
username: elasticsearch
password: xxxxxx
用法例析
@Autowired
private ISearchService iSearchService;
@Autowired
private DocModel docModel;
这些都是在 elasticsearch-spring-boot-starter中定义的
public String createIndex() throws IOException {
IndexModel indexModel = new IndexModel();
indexModel.setIndexName("testindex2"); // 注意索引名字必须小写，否则ES抛异常
indexModel.setTypeName("testtype2");
indexModel.setReplicaNumber( 2 ); // 两个节点，因此两个副本
indexModel.setShardNumber( 3 );
XContentBuilder builder = null;
builder = XContentFactory.jsonBuilder();
builder.startObject();
{
builder.startObject("properties");
{
builder.startObject("title");
{
builder.field("type", "text");
builder.field("analyzer", "ik_max_word");
}
builder.endObject();
builder.startObject("filecontent");
{
builder.field("type", "text");
builder.field("analyzer", "ik_max_word");
builder.field("term_vector", "with_positions_offsets");
}
builder.endObject();
}
builder.endObject();
}
builder.endObject();
indexModel.setBuilder( builder );
Boolean res = iSearchService.createIndex(indexModel);
if( true==res )
return "创建索引成功";
else
return "创建索引失败";
}
public String deleteIndex() {
return (iSearchService.deleteIndex("testindex2")==true) ? "删除索引成功":"删除索引失败";
}
if ( existIndex(indexName) ) {
...
} else {
...
}
public String insertSingleDoc( ) {
SingleDoc singleDoc = new SingleDoc();
singleDoc.setIndexName("testindex2");
singleDoc.setTypeName("testtype2");
Map<String,Object> doc = new HashMap<>();
doc.put("title","人工智能标题1");
doc.put("filecontent","人工智能内容1");
singleDoc.setDocMap(doc);
return ( true== iSearchService.insertDoc( singleDoc ) ) ? "插入单个文档成功" : "插入单个文档失败";
}
public String insertDocBatch() {
BatchDoc batchDoc = new BatchDoc();
batchDoc.setIndexName("testindex2");
batchDoc.setTypeName("testtype2");
Map<String,Object> doc1 = new HashMap<>();
doc1.put("title","人工智能标题1");
doc1.put("filecontent","人工智能内容1");
Map<String,Object> doc2 = new HashMap<>();
doc2.put("title","人工智能标题2");
doc2.put("filecontent","人工智能内容2");
Map<String,Object> doc3 = new HashMap<>();
doc3.put("title","人工智能标题3");
doc3.put("filecontent","人工智能内容3");
Map<String,Object> doc4 = new HashMap<>();
doc4.put("title","人工智能标题4");
doc4.put("filecontent","人工智能内容4");
List<Map<String,Object>> docList = new ArrayList<>();
docList.add( doc1 );
docList.add( doc2 );
docList.add( doc3 );
docList.add( doc4 );
batchDoc.setBatchDocMap( docList );
return ( true== iSearchService.insertDocBatch( batchDoc ) ) ? "批量插入文档成功" : "批量插入文档失败";
}
public List<Map<String,Object>> searchDoc() {
SearchModel searchModel = new SearchModel();
searchModel.setIndexName( "testindex2" );
List<String> fields = new ArrayList<>();
fields.add("title");
fields.add("filecontent");
fields.add("id");
searchModel.setFields( fields );
searchModel.setKeyword( "人工" );
searchModel.setPageNum( 1 );
searchModel.setPageSize( 5 );
return iSearchService.queryDocs( searchModel );
}
public String deleteDoc() {
SingleDoc singleDoc = new SingleDoc();
singleDoc.setIndexName("testindex2");
singleDoc.setTypeName("testtype2");
singleDoc.setId("vPHMY2cBcGZ3je_1EgIM");
return (true== iSearchService.deleteDoc(singleDoc)) ? "删除文档成功" : "删除文档失败";
}
public String deleteDocBatch() {
BatchDoc batchDoc = new BatchDoc();
batchDoc.setIndexName("testindex2");
batchDoc.setTypeName("testtype2");
List<String> ids = new ArrayList<>();
ids.add("vfHMY2cBcGZ3je_1EgIM");
ids.add("vvHMY2cBcGZ3je_1EgIM");
batchDoc.setDocIds( ids );
return ( true== iSearchService.deleteDocBatch(batchDoc) ) ? "批量删除文档成功" : "批量删除文档失败";
}
public String updateDoc( @RequestBody SingleDoc singleDoc ) {
SingleDoc singleDoc = new SingleDoc();
singleDoc.setId("wPH6Y2cBcGZ3je_1OwI7");
singleDoc.setIndexName("testindex2");
singleDoc.setTypeName("testtype2");
Map<String,Object> doc = new HashMap<>();
doc.put("title","人工智能标题(更新后)");
doc.put("filecontent","人工智能内容(更新后)");
singleDoc.setUpdateDocMap(doc);
return (true== iSearchService.updateDoc(singleDoc)) ? "更新文档成功" : "更新文档失败";
}
