spring-data-elasticsearch使用笔记

使用spring-data遇到了一些问题，记录一下。

spring-data-elasticsearch版本选择

这里有一份官方github上的spring-data-elasticsearch与elasticsearch的对应关系表，但是不太完整，但是还是比较有参考价值的

spring data elasticsearch elasticsearch
3.0.0.RC2 5.5.0
3.0.0.M4 5.4.0
2.0.4.RELEASE 2.4.0
2.0.0.RELEASE 2.2.0
1.4.0.M1 1.7.3
1.3.0.RELEASE 1.5.2
1.2.0.RELEASE 1.4.4
1.1.0.RELEASE 1.3.2
1.0.0.RELEASE 1.1.1

elasticsearch的客户端版本必须与服务端版本主版本保持一致。

参考：https://www.elastic.co/guide/en/elasticsearch/client/java-api/current/client.html

The client must have the same major version (e.g. 2.x, or 5.x) as the nodes in the cluster. Clients may connect to clusters which have a different minor version (e.g. 2.3.x) but it is possible that new functionality may not be supported. Ideally, the client should have the same version as the cluster.

由于公司使用的elasticsearch 2.1.1，所以选择了spring-data-elasticsearch 2.1.7.RELEASE（2.1.7对应的原生客户端版本是elasticsearch 2.4.0，上面表格可能不完整）。

遇到异常java.lang.NoSuchMethodError: org.springframework.core.annotation.AnnotatedElementUtils.findMergedAnnotation

原因是项目使用的springframework版本为4.1.6，而spring-data-elasticsearch 2.1.7默认依赖的spring-context是4.3.11，所以初步确定是我们的项目使用的spring版本太低导致。

参考spring的api文档，发现原来AnnotatedElementUtils.findMergedAnnotation是4.2版才有的（since 4.2）。

@Field日期类型

    @Field(type = FieldType.Date,
            index = FieldIndex.not_analyzed,
            format = DateFormat.custom,
            pattern = "yyyy-MM-dd'T'HH:mm:ss.SSSZZ")
    @JsonFormat(shape = JsonFormat.Shape.STRING, pattern = "yyyy-MM-dd'T'HH:mm:ss.SSSZZ")
    private Date createTime;

参考stackoverflow

@Document中动态indexName

配置Bean

@Component("esConfig")
public class ESConfig {

    @Value("${app.env}")
    private String env;

    public String getEnv() {
        return env;
    }

    public void setEnv(String env) {
        this.env = env;
    }
}

@Document注解

@Document(indexName = "index-#{esConfig.env}", type = "typename", shards = 4, replicas = 1)

参考1
参考2

安装ik插件

  1. 从官网下载es版本对应版本的ik插件，https://github.com/medcl/elasticsearch-analysis-ik

  2. 我开发环境安装的es是2.4.1，一开始放在了D:\Program Files\下，结果加入ik插件后就启动不了了，原来是不支持带空格的路径，换了路径就好了。（参考）

  3. 测试

    链接：http://localhost:9200/_analyze?analyzer=stardard&pretty=true&text=今天天气真好

    {
  "tokens" : [ {
    "token" : "今",
    "start_offset" : 0,
    "end_offset" : 1,
    "type" : "<IDEOGRAPHIC>",
    "position" : 0
  }, {
    "token" : "天",
    "start_offset" : 1,
    "end_offset" : 2,
    "type" : "<IDEOGRAPHIC>",
    "position" : 1
  }, {
    "token" : "天",
    "start_offset" : 2,
    "end_offset" : 3,
    "type" : "<IDEOGRAPHIC>",
    "position" : 2
  }, {
    "token" : "气",
    "start_offset" : 3,
    "end_offset" : 4,
    "type" : "<IDEOGRAPHIC>",
    "position" : 3
  }, {
    "token" : "真",
    "start_offset" : 4,
    "end_offset" : 5,
    "type" : "<IDEOGRAPHIC>",
    "position" : 4
  }, {
    "token" : "好",
    "start_offset" : 5,
    "end_offset" : 6,
    "type" : "<IDEOGRAPHIC>",
    "position" : 5
  } ]
}

    链接：http://localhost:9200/_analyze?analyzer=ik&pretty=true&text=今天天气真好

    {
  "tokens" : [ {
    "token" : "今天天气",
    "start_offset" : 0,
    "end_offset" : 4,
    "type" : "CN_WORD",
    "position" : 0
  }, {
    "token" : "今天",
    "start_offset" : 0,
    "end_offset" : 2,
    "type" : "CN_WORD",
    "position" : 1
  }, {
    "token" : "天天",
    "start_offset" : 1,
    "end_offset" : 3,
    "type" : "CN_WORD",
    "position" : 2
  }, {
    "token" : "天气",
    "start_offset" : 2,
    "end_offset" : 4,
    "type" : "CN_WORD",
    "position" : 3
  }, {
    "token" : "真好",
    "start_offset" : 4,
    "end_offset" : 6,
    "type" : "CN_WORD",
    "position" : 4
  } ]
}

head插件安装和使用

  1. 参考

elasticsearch client api

  1. 通过Query删除

or and

sql： select * from table where active=1 and ( name like '%？%' or code like '%?%' )
elasticsearch 用java client怎么写呢？
--------------------------------------
QueryBuilder qb = QueryBuilders.boolQuery()
.must(new QueryStringQueryBuilder("1").field("active"))
.must(QueryBuilders.boolQuery()
    .should(QueryBuilders.matchQuery("name", "小李子"))
    .should(QueryBuilders.matchQuery("code", 小李子"))
);

in

sql: select * from table where name in ('tom', 'john');
QueryBuilder qb = QueryBuilders.boolQuery()
List<String> list = new ArrayList<String>();
list.add("tom");
list.add("john");
BoolQueryBuilder in = QueryBuilders.boolQuery();
for(String name : list) {
   in.shoud(QueryBuilders.matchPhraseQuery("name", name));
}
qb.must(in);

打印dsl日志

        NativeSearchQueryBuilder builder = new NativeSearchQueryBuilder()
                .withQuery(boolQueryBuilder);
        builder.withPageable(new PageRequest(param.getPageNo(), 20))
                .withSort(new FieldSortBuilder("updateTime").order(SortOrder.DESC));
        SearchQuery searchQuery = builder.build();
        logger.info("QueryDSL:\n{}", searchQuery.getQuery().toString());

参考

posted @ 2017-10-12 20:11  liqipeng  阅读(19243)  评论(1)  编辑  收藏  举报