索引模板其实就是预先定义好的索引设置,在索引模板中设置副本与分片、mapping 等,然后可以在新建索引时自动的应用。 # 创建一个 test_template PUT _template/test_template { # 匹配 te 开头和 bar 开头的索引 "index_patterns":["te*", "bar*"], # 执行顺序,order 大的设置覆盖掉 order 小的 "order":...
{"order": 0,#order 设置优先级"index_patterns": [#匹配索引名称"nginx-access*"#以nginx-access开头的索引会应用该模板],"settings": {#索引setting配置"index": {"number_of_shards":"6","refresh_interval":"5s"} },"mappings": {#mapping配置"doc": {# type,可以去掉这个,7.x里面默认是_doc"d...
index.mapping.total_fields.limit:一个索引中能定义的字段的最大数量,默认是 1000 index.mapping.depth.limit:字段的最大深度,以内部对象的数量来计算,默认是20 index.mapping.nested_fields.limit:索引中嵌套字段的最大数量,默认是50 Mapping的数据类型 详见:https://www.elastic.co/guide/en/elasticsearch/referen...
"index.lifecycle.name": "my_log_policy", "index.lifecycle.rollover_alias": "my_log" } }, "composed_of": [ "componet_log_setting", "componet_log_mapping" ] } PUT my_log-000001 { "settings": { "index.lifecycle.name":"my_log_policy", "index.lifecycle.rollover_alias":"my_log" }...
es的mapping设置 es的mapping设置 ⾃定义mapping的api PUT test_index { "mappings": { #mappings关键字 "doc": { #type "properties": { #字段名称和类型的定义 "name":{ #字段名 "type": "keyword"#字段类型 },"message":{ "type": "text"},"age":{ "type": "integer"} }}}...
"type": "mapping", "mappings_path": "char_filter_text.txt" } }, "tokenizer": { "ik_max_word": { "type": "ik_max_word", "use_smart": true } }, "analyzer": { "ngramIndexAnalyzer": { "type": "custom", "tokenizer": "keyword", ...
"index" : "product_info" } 2、查看索引的mapping信息 代码语言:txt 复制 GET /product_info/_mapping 返回如下结果: 代码语言:txt 复制 { "product_info" : { "mappings" : { "dynamic_templates" : [ { "message_full" : { "match" : "message_full", ...
CREATE INDEX indexName ON z_staff_info_copy1(username(LENGTH));#修改表结构添加... HelloOcean 0 635 Elasticsearch学习笔记之—mapping 2019-12-21 13:39 −创建mapping PUT test_index { "mappings": { "_doc": { "properties": { "name":{ "type":"text" }, "age": { "type": "integer...
es 修改索引的mapping 索引管理的引入 我们在前文中增加文档时,如下的语句会动态创建一个customer的index: PUT /customer/_doc/1 { "name": "John Doe" } 1. 2. 3. 4. 而这个index实际上已经自动创建了它里面的字段(name)的类型。我们不妨看下它自动创建的mapping:...
插入完成后,可以看到mapping结构自动推测如下: { "myindex" : { "mappings" : { "properties" : { "createdAt" : { "type" : "date" }, "extra" : { "properties" : { "deleted" : { "type" : "boolean" }, "score" : { "type" : "float" ...