如此简单 | ElasticSearch 最全详细使用教程

curl -X PUT "localhost:9200/customer/_doc/1?pretty" -H 'Content-Type: application/json' -d'{  "name": "John Doe"}'

curl -X GET "localhost:9200/customer/_doc/1?pretty"

GET /customer/_search?q=*&sort=name:asc&pretty

GET /customer/_search{  "query": { "match_all": {} },  "sort": [    {"name": "asc" }  ]}

PUT twitter{    "settings" : {        "index" : {            "number_of_shards" : 3,            "number_of_replicas" : 2        }    }}

PUT twitter{    "settings" : {        "number_of_shards" : 3,        "number_of_replicas" : 2    }}

PUT twitter{    "settings" : {        "index" : {            "number_of_shards" : 3,            "number_of_replicas" : 2        }    },   "mappings" : {        "type1" : {            "properties" : {                "field1" : { "type" : "text" }            }        }    }}

PUT twitter{    "aliases" : {        "alias_1" : {},        "alias_2" : {            "filter" : {                "term" : {"user" : "kimchy" }            },            "routing" : "kimchy"        }    }}

PUT /twitter/_settings{    "index" : {        "number_of_replicas" : 2    }}

PUT /twitter/_settings{    "index" : {        "refresh_interval" : null    }}

index.blocks.read_only：设为true,则索引以及索引的元数据只可读index.blocks.read_only_allow_delete：设为true，只读时允许删除。index.blocks.read：设为true，则不可读。index.blocks.write：设为true，则不可写。index.blocks.metadata：设为true，则索引元数据不可读写。

PUT _template/template_1{  "index_patterns": ["te*", "bar*"],  "settings": {    "number_of_shards": 1  },  "mappings": {    "type1": {      "_source": {        "enabled": false      },      "properties": {        "host_name": {          "type": "keyword"        },        "created_at": {          "type": "date",          "format": "EEE MMM dd HH:mm:ss Z YYYY"        }      }    }  }}

GET /_template/template_1GET /_template/temp* GET /_template/template_1,template_2GET /_template

DELETE /_template/template_1

POST /my_index/_closePOST /my_index/_open

PUT /my_source_index/_settings{  "settings": {        "index.routing.allocation.require._name": "shrink_node_name",         "index.blocks.write": true  }}

POST my_source_index/_shrink/my_target_index{  "settings": {    "index.number_of_replicas": 1,    "index.number_of_shards": 1,    "index.codec": "best_compression"  }}

GET _cat/recovery?vGET _cluster/health

5 → 10 → 30 (split by 2, then by 3)5 → 15 → 30 (split by 3, then by 2)5 → 30 (split by 6)

PUT my_source_index{    "settings": {        "index.number_of_shards" : 1,                "index.number_of_routing_shards" : 2    }}

PUT /my_source_index/_settings{  "settings": {    "index.blocks.write": true  }}

POST my_source_index/_split/my_target_index{  "settings": {        "index.number_of_shards": 2  }}

GET _cat/recovery?vGET _cluster/health

PUT /logs-000001{  "aliases": {    "logs_write": {}  }}

POST /logs_write/_rollover{  "conditions": {    "max_age":   "7d",    "max_docs":  1000,    "max_size":  "5gb"  }}

POST /my_alias/_rollover/my_new_index_name{  "conditions": {    "max_age":   "7d",    "max_docs":  1000,    "max_size": "5gb"  }}

# PUT / with URI encoding:PUT /%3Clogs-%7Bnow%2Fd%7D-1%3E{  "aliases": {    "logs_write": {}  }}PUT logs_write/_doc/1{  "message": "a dummy log"} POST logs_write/_refresh# Wait for a day to passPOST /logs_write/_rollover{  "conditions": {    "max_docs":   "1"  }}

PUT /logs-000001{  "aliases": {    "logs_write": {}  }}POST /logs_write/_rollover{  "conditions" : {    "max_age": "7d",    "max_docs": 1000,    "max_size": "5gb"  },  "settings": {    "index.number_of_shards": 2  }}

POST /logs_write/_rollover?dry_run{  "conditions" : {    "max_age": "7d",    "max_docs": 1000,    "max_size": "5gb"  }}

GET /test/_segments GET /index1,index2/_segmentsGET /_segments

# return information of only index testGET /test/_shard_stores# return information of only test1 and test2 indicesGET /test1,test2/_shard_stores# return information of all indicesGET /_shard_stores  GET /_shard_stores?status=green

POST /kimchy,elasticsearch/_cache/clearPOST /_cache/clear

POST /kimchy,elasticsearch/_refreshPOST /_refresh

POST twitter/_flush

POST /kimchy/_forcemerge?only_expunge_deletes=false&max_num_segments=100&flush=true

POST /kimchy,elasticsearch/_forcemergePOST /_forcemerge

 PUT test{"mappings" : {        "type1" : {                    "properties" : {                            "field1" : { "type" : "text" }            }        }    }}

PUT twitter{  "mappings": {    "_doc": {      "properties": {        "type": { "type": "keyword" },        "name": { "type": "text" },        "user_name": { "type": "keyword" },        "email": { "type": "keyword" },        "content": { "type": "text" },        "tweeted_at": { "type": "date" }      }    }  }}

string    text and keywordNumeric datatypes    long, integer, short, byte, double, float, half_float, scaled_floatDate datatype    dateBoolean datatype    booleanBinary datatype    binaryRange datatypes     范围    integer_range, float_range, long_range, double_range, date_range

Array datatype    数组就是多值，不需要专门的类型Object datatype    object ：表示值为一个JSON 对象Nested datatype    nested：for arrays of JSON objects（表示值为JSON对象数组 ）

Geo-point datatype    geo_point：for lat/lon points  （经纬坐标点）Geo-Shape datatype    geo_shape：for complex shapes like polygons （形状表示）

IP datatype    ip：for IPv4 and IPv6 addressesCompletion datatype    completion：to provide auto-complete suggestionsToken count datatype    token_count：to count the number of tokens in a stringmapper-murmur3    murmur3：to compute hashes of values at index-time and store them in the indexPercolator type    Accepts queries from the query-dsljoin datatype    Defines parent/child relation for documents within the same index

    analyzer   指定分词器    normalizer   指定标准化器    boost        指定权重值    coerce      强制类型转换    copy_to    值复制给另一字段    doc_values  是否存储docValues    dynamic    enabled    字段是否可用    fielddata    eager_global_ordinals    format    指定时间值的格式    ignore_above    ignore_malformed    index_options    index    fields    norms    null_value    position_increment_gap    properties    search_analyzer    similarity    store    term_vector

PUT my_index{  "mappings": {    "_doc": {      "properties": {        "date": {          "type":   "date",                     "format": "yyyy-MM-dd HH:mm:ss||yyyy-MM-dd||epoch_millis"        }      }    }  }}

PUT my_index{  "mappings": {    "_doc": {      "properties": {        "city": {          "type": "text",          "fields": {            "raw": {              "type":  "keyword"            }          }        }      }    }  }}

PUT my_index/_doc/1{  "city": "New York"}
PUT my_index/_doc/2{  "city": "York"}

GET my_index/_search{  "query": {    "match": {      "city": "york"    }  },  "sort": {    "city.raw": "asc"  },  "aggs": {    "Cities": {      "terms": {        "field": "city.raw"      }    }  }}

PUT data/_doc/1{ "count": 5 }

[ "strict_date_optional_time","yyyy/MM/dd HH:mm:ss Z||yyyy/MM/dd Z"]PUT my_index/_doc/1{  "create_date": "2015/09/02"}
GET my_index/_mapping

PUT my_index{  "mappings": {    "_doc": {      "dynamic_date_formats": ["MM/dd/yyyy"]    }  }}

PUT my_index{  "mappings": {    "_doc": {      "date_detection": false    }  }}

PUT my_index{  "mappings": {    "_doc": {      "numeric_detection": true    }  }}PUT my_index/_doc/1{  "my_float":   "1.0",  "my_integer": "1"}