Elasticsearch相关操作梳理

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1. 创建新表

curl -XPUT 'host:port/table_name?pretty'

table_name:表名,不能有大写字母,不能以下划线开头 

pretty:使返回结果以便于阅读的JSON格式返回

自定义 schema,即mapping两种方式:

1.在创建表的时候一块创建:

host:port/table_name

{
    "settings": {
        "number_of_shards":4,
        "number_of_replicas":1
    }
,
    "mappings": {
        "dishlist": {
            "_all": {
                "enabled":false
            },
            "properties": {
                "id": {
                    "type":"string",
                    "index":"not_analyzed"
                },
                "dish_name": {
                    "type":"string",
                    "index":"not_analyzed"
                },
                "dish_name_analyzed": {
                    "type":"string",
                    "index":"analyzed",
                    "analyzer":"ik_max_word"
                },
                "dish_id": {
                    "type":"string",
                    "index":"not_analyzed"
                },
                "poi_id": {
                    "type":"long",
                    "index":"not_analyzed"
                },
                "poi_name": {
                    "type":"string",
                    "store":"true"
                }
            }
        }
    }

}

2.在创建type的时候创建

 

host:port/table_name/type_name/_mapping?pretty 

{
    "type_name": {
        "_all": {
            "enabled":false
        },
        "properties": {
            "id": {
                "type":"string",
                "index":"not_analyzed"
            },
            "dish_name": {
                "type":"string",
                "index":"not_analyzed"
            },
            "dish_name_analyzed": {
                "type":"string",
                "index":"analyzed",
                "analyzer":"ik_max_word"
            },
            "dish_id": {
                "type":"string",
                "index":"not_analyzed"
            },
            "poi_id": {
                "type":"long",
                "index":"not_analyzed"
            },
            "poi_name": {
                "type":"string",
                "index":"not_analyzed"
            }
        }
    }

}

 

1. 单条插入数据

1、实时导入(带ID)

curl -XPUT 'host:port/table_name/type/id?pretty' -d '{  "field": "value"}'

type:类型,可理解为二级表名。

id:该条数据的唯一id

2、实时导入(不带ID)

curl -XPOST 'host:port/table_name/type?pretty' -d '{  "field": "value"}'

不带 id 时使用 “POST”,系统将自动随机生成一个唯一id

导入时如果想更新已存在的

curl -XPOST 'host:port/table_name/type?pretty' -d '
{ “doc”:{ "field": "value" } "detect_noop":false//无视是否修改,强制合并到现有的文档}'

批量导入:

导入文件需要如下格式:

{ "index": { "_index": "table_name", "_type": "type_name", "_id": "id1" }} 

{ "field1": "value1", "field2": "value2", ……} 

{ "index": { "_index": "table_name", "_type": "type_name", "_id": "id2" }} 

{ "field1": "value1", "field2": "value2", ……} 

_id 是可以指定为具体的field的比如下面这样(要保证值是唯一的)

 

{ "index": { "_index": "table_name", "_type": "type_name", "_id": "value1" }} 

 

{ "field1": "value1", "field2": "value2", ……} 


 

然后用以下接口导入数据:

 

curl -XPOST 'host:port/_bulk' --data-binary @import.json

 

import.json 为导入文件名。

 

也可在此链接中指定表名或type名,这样就不用在导入文件中指定:

 

curl -XPOST 'host:port/table_name/type_name/_bulk' --data-binary @import.json

 

***注意每个 import.json 文件不能过大,最好在10M左右,大文件可以分割为小文件并行导入***


 

2. 创建自定义分词和同义词配置

1:在elasticsearch-x.x.x/config目录下新建同义词文件synonym.txt。 
其中,synonym.txt 编码格式为’utf-8’,内容建议为空。

2:创建索引

host:port/dishtag

{
    "settings": {
        "number_of_shards":3,
        "number_of_replicas":1,
        "index": {
            "analysis": {
                "analyzer": {
                    "by_smart": {
                        "type":"custom",
                        "tokenizer":"ik_smart",
                        "filter": [
                            "by_sfr"
                        ]
                    },
                    "by_max_word": {
                        "type":"custom",
                        "tokenizer":"ik_max_word",
                        "filter": [
                            "by_sfr"
                        ]
                    }
                },
                "filter": {
                    "by_sfr": {
                        "type":"synonym",
                        "synonyms_path":"analysis/synonym.txt"
                    }
                }
            }
        }
    }
,
    "mappings": {
        "dishtag": {
            "_all": {
                "enabled":false
            },
            "properties": {
                "id": {
                    "type":"string",
                    "index":"not_analyzed"
                },
                "tag_id": {
                    "type":"string",
                    "index":"not_analyzed"
                },
                "tag_name": {
                    "type":"string",
                    "index":"not_analyzed",
                    "search_analyzer":"by_max_word",
                    "analyzer":"by_smart"
                }
            }
        }
    }

}

3:添加同义词

4:测试分词后同义词是否生效

host:port/dstag/_analyze?analyzer=by_max_word&pretty&text=鱼


这种结果就是同义词配置已经生效

 

小结

 

  • 同义词字典或是IK用户自定义词典更新,必须每次重启elasticsearch才有效。
  • 同义词词对是必须能被完成切分的词语。