elasticsearch从入门到入门系列（二）---快速入门B

1.文档操作

新增文档

请求（一）：PUT localhost:9200/nba/_doc/1 (指定id){"name": "哈登", "team_name": "⽕火箭", "position": "得分后卫", "play_year": "10", "jerse_no": "13"}
响应：{"_index": "nba", "_type": "_doc", "_id": "1", "_version": 1, "result": "created", "_shards": {"total": 2, "successful": 1, "failed": 0}, "_seq_no": 0, "_primary_term": 1}请求（二）：POST localhost:9200/nba/_doc (不不指定id){"name": "库⾥里里", "team_name": "勇⼠士", "position": "组织后卫", "play_year": "10", "jerse_no": "30"}
响应：{"_index": "nba", "_type": "_doc", "_id": "cVi582sB6wrnBnZnFqog", "_version": 1, "result": "created", "_shards": {"total": 2, "successful": 1, "failed": 0}, "_seq_no": 1, "_primary_term": 1}说明：请使用postman进行请求

自动创建索引

查看auto_create_index开关状态，请求http://localhost:9200/_cluster/settings
当索引不不存在并且auto_create_index为true的时候，新增⽂文档时会⾃自动创建索引

修改auto_create_index状态

请求：PUT localhost:9200/_cluster/settings
响应：{"persistent": {"action.auto_create_index": "false"}
}{"acknowledged": true,"persistent": {"action": {"auto_create_index": "false"} },"transient": {}
}

当auto_create_index=false时，指定⼀个不不存在的索引，新增⽂文档

请求：PUT localhost:9200/wnba/_doc/1{"name": "杨超越", "team_name": "梦之队", "position": "组织后卫", "play_year": "0", "jerse_no": "18"}
响应：{"error": {"root_cause": [{"type": "index_not_found_exception", "reason": "no such index [wnba]", "resource.type": "index_expression", "resource.id": "wnba", "index_uuid": "_na_", "index": "wnba"}], "type": "index_not_found_exception", "reason": "no such index [wnba]", "resource.type": "index_expression", "resource.id": "wnba", "index_uuid": "_na_", "index": "wnba"}, "status": 404}

当auto_create_index=true时，指定⼀一个不不存在的索引，新增⽂文档

{"name": "杨超越", "team_name": "梦之队", "position": "组织后卫", "play_year": "0", "jerse_no": "18"
}响应：{"_index": "wnba", "_type": "_doc", "_id": "1", "_version": 1, "result": "created", "_shards": {"total": 2, "successful": 1, "failed": 0}, "_seq_no": 0, "_primary_term": 1
}

查看文档

请求：GET localhost:9200/nba/_doc/1
响应：{"_index": "nba", "_type": "_doc", "_id": "1", "_version": 3, "_seq_no": 3, "_primary_term": 1, "found": true, "_source": {"name": "哈登", "team_name": "⽕火箭", "position": "得分后卫", "play_year": "10", "jerse_no": "13"}}

查看多个文档

请求：POST localhost:9200/_mget
响应：？？

修改文档

1.根据提供的⽂文档⽚片段更更新数据
请求：POST localhost:9200/nba/_update/12.向_source字段，增加一个字段
请求：POST localhost:9200/nba/_update/1{"script": "ctx._source.age = 18"}3.从_source字段，删除一个字段
请求：POST localhost:9200/nba/_update/1{"script": "ctx._source.remove(\"age\")"}4.根据参数值，更新指定文档的字段
请求：POST localhost:9200/nba/_update/1{"script": {"source": "ctx._source.age += params.age", "params": {"age": 4}}}说明：upsert 当指定的⽂文档不不存在时，upsert参数包含的内容将会被插⼊入到索引中，作为⼀一个 新⽂文档;如果指定的⽂文档存在，ElasticSearch引擎将会执⾏行行指定的更更新逻辑。

删除文档

请求：DELETE localhost:9200/nba/_doc/1

2.搜索的简单使用

term(词条)查询和full text(全文)查询
- 词条查询：词条查询不会分析查询条件，只有当词条和查询字符串完全匹配时，才匹配搜索
- 全文查询：ElasticSearch引擎会优先分析查询字符串，将其拆分成多个分词，只要已分析的字段中包含词条的任意一个，或者包含全部，就匹配查询条件，返回该文档；如果不包含任意一个分词，表示没有任何文档匹配查询条件
单条term查询

请求：POST localhost:9200/nba/_search{"query": {"term": {"jerse_no": "23"}}}

多条term查询

请求：POST localhost:9200/nba/_search{"query": {"terms": {"jerse_no": ["23", "13"]}}}
响应：{"took": 21, "timed_out": false, "_shards": {"total": 1, "successful": 1, "skipped": 0, "failed": 0}, "hits": {"total": {"value": 2, "relation": "eq"}, "max_score": 1, "hits": [{"_index": "nba", "_type": "_doc", "_id": "1", "_score": 1, "_source": {"name": "哈登", "team_name": "⽕火箭", "position": "得分后卫", "play_year": 10, "jerse_no": "13"}}, {"_index": "nba", "_type": "_doc", "_id": "3", "_score": 1, "_source": {"name": "詹姆斯", "team_name": "湖⼈人", "position": "⼩小前锋", "play_year": 15, "jerse_no": "23"}}]}}

match_all

请求：POST localhost:9200/nba/_search{"query": {"match_all": {}},"from": 0,"size": 10 }
响应：{"took": 9, "timed_out": false, "_shards": {"total": 1, "successful": 1, "skipped": 0, "failed": 0}, "hits": {"total": {"value": 3, "relation": "eq"}, "max_score": 1, "hits": [{"_index": "nba", "_type": "_doc", "_id": "1", "_score": 1, "_source": {"name": "哈登", "team_name": "⽕火箭", "position": "得分后卫", "play_year": 10, "jerse_no": "13"}}, {"_index": "nba", "_type": "_doc", "_id": "2", "_score": 1, "_source": {"name": "库⾥里里", "team_name": "勇⼠士", "position": "控球后卫", "play_year": 10, "jerse_no": "30"}}, {"_index": "nba", "_type": "_doc", "_id": "3", "_score": 1, "_source": {"name": "詹姆斯", "team_name": "湖⼈人", "position": "⼩小前锋", "play_year": 15, "jerse_no": "23"}}]}}

match

请求：POST localhost:9200/nba/_search{"query": {"match": {"position": "后卫"}}}
响应：{"took": 89, "timed_out": false, "_shards": {"total": 1, "successful": 1, "skipped": 0, "failed": 0}, "hits": {"total": {"value": 2, "relation": "eq"}, "max_score": 0.90630186, "hits": [{"_index": "nba", "_type": "_doc", "_id": "1", "_score": 0.90630186, "_source": {"name": "哈登", "team_name": "⽕火箭", "position": "得分后卫", "play_year": 10, "jerse_no": "13"}}, {"_index": "nba", "_type": "_doc", "_id": "2", "_score": 0.90630186, "_source": {"name": "库⾥里里", "team_name": "勇⼠士", "position": "控球后卫", "play_year": 10, "jerse_no": "30"}}]}}

multi_match

请求：POST localhost:9200/nba/_update/2{"query": {"multi_match": {"query": "shooter", "fields": ["title", "name"]}}}

match_phrase

请求：post localhost:9200/nba/_search{"query": {"match_phrase": {"position": "得分后卫"}}}

match_phrase_prefix

请求：POST localhost:9200/nba/_search{"query": {"match_phrase_prefix": {"title": "the best s"}}}

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