/** * 建立索引 * */ @Test public void createIndex(){ // 建立索引 CreateIndexResponse blog2 = client.admin().indices().prepareCreate("blog2").get(); System.out.println(blog2.toString()); }
默认建立好索引,mappings为空数据库
/** * 删除索引 * */ @Test public void deleteIndex(){ // 删除索引 client.admin().indices().prepareDelete("blog2").get(); }
为何要进行手动的映射?json
在实际生产中常常会出现精度损失的现象,每每就是由于没有进行正确的索引映射或者压根就没进行索引映射
Elasticsearch最开始索引文档A,其中的一个字段是一个数字,是整数;经过自动类型猜想,并设置类型为整型(integer)或者长整型;
而后在索引另外一个文档B,B文档在同一个字段中存储的是浮点型;那么这个时候elasticsearch就会把B文档中的小数删除,保留整数部分;
这样就会致使数据的不许确!
若是你习惯SQL数据库,或许知道,在存入数据前,须要建立模式来描述数据(schmal);尽管elasticsearch是一个无模式的搜索引擎,能够即时算出数据结构;数据结构
可是咱们仍然认为由本身控制并定义结构是更好的;并且在实际的生产中,咱们也是本身建立映射;app
注意:注意建立mapping的时候,索引必须提早存在elasticsearch
{ "settings":{ "nshards":3, "number_of_repli umber_of_cas":1 }, "mappings":{ "dahan":{ "dynamic":"strict", "properties":{ "studentNo":{"type": "string", "store": true}, "name":{"type": "string","store": true,"index" : "analyzed","analyzer": "ik_max_word"}, "male":{"type": "string","store": true}, "age":{"type": "integer","store": true}, "birthday":{"type": "string","store": true}, "classNo":{"type": "string","store": true}, "address":{"type": "string","store": true,"index" : "analyzed","analyzer": "ik_max_word"}, "isLeader": {"type": "boolean", "index": "not_analyzed"} } } }
/**
* 建立索引
* */
2):经过代码建立索引配置信息(有错的状况)学习
/**
* Created by angel;
*/
public class CreateMappings {
public static void main(String[] args) throws UnknownHostException {
TransportClient client = null;
Map<String, Integer> map = new HashMap<String, Integer>();
map.put("number_of_shards", 3);
map.put("number_of_replicas", 1);
Settings settings = Settings.builder()
.put("cluster.name", "cluster")
.build();
client = new PreBuiltTransportClient(settings)
.addTransportAddress(new InetSocketTransportAddress(InetAddress.getByName("hadoop01"), 9300));
System.out.println("========链接成功=============");
XContentBuilder builder = null;
try {
builder = jsonBuilder()
.startObject()
.startObject("dahan").field("dynamic", "true")
.startObject("properties")
.startObject("studentNo").field("type", "string").field("store", "yes").endObject()
.startObject("name").field("type", "string").field("store", "yes").field("analyzer", "ik_max_word").endObject()//.field("analyzer", "ik")
.startObject("male").field("type", "string").field("store", "yes").endObject()//.field("analyzer", "ik")
.startObject("age").field("type", "integer").field("store", "yes").endObject()
.startObject("birthday").field("type", "string").field("store", "yes").endObject()
.startObject("classNo").field("type", "string").field("store", "yes").endObject()
.startObject("address").field("type", "string").field("store", "yes").field("analyzer", "ik_max_word").endObject()
.startObject("isLeader").field("type", "boolean").field("store", "yes").field("index", "not_analyzed").endObject()
.endObject()
.endObject()
.endObject();
PutMappingRequest mapping = Requests.putMappingRequest("sanguo")
.type("dahan")
.source(builder);
UpdateSettingsRequest updateSettingsRequest = new UpdateSettingsRequest();
updateSettingsRequest.settings(map);
client.admin().indices().updateSettings(updateSettingsRequest).actionGet();
client.admin().indices().putMapping(mapping).get();
} catch (Exception e) {
e.printStackTrace();
}
}
}