1. _cat查看信息

1.1. _cat/health 查看集群健康状况

1602493310 09:01:50 elasticsearch yellow 1 1 10 10 0 0 5 0 - 66.7%

1.2. _cat/master 查看主节点信息

bQY8I8hFSjmCHO_1-MKfZg 127.0.0.1 127.0.0.1 83c34a872f4c

1.3 _cat/indices 查看索引信息

green open .security-7 M61Q-ekUQmGZP1FtS8ukfQ 1 0 42 0 74kb 74kb
yellow open niewj UuJpWw6UQcKBH8-TWquNng 5 1 0 0 1.3kb 1.3kb
green open .kibana_task_manager_1 1ebsopUOSN-P8ToMX-mklA 1 0 2 0 22.5kb 22.5kb
green open .apm-agent-configuration Le9Ig6qiSdaxMRLvmg43Lg 1 0 0 0 283b 283b
green open kibana_sample_data_logs jo7AsHgeTniG509NZWUi-A 1 0 14074 0 11.7mb 11.7mb
green open .kibana_1 o1ntzX2YRFGfU__BzFPYhg 1 0 47 0 109.1kb 109.1kb

1.4 其余 _cat 命令

/_cat/allocation
/_cat/shards
/_cat/shards/{index}
/_cat/master
/_cat/nodes
/_cat/tasks
/_cat/indices
/_cat/indices/{index}
/_cat/segments
/_cat/segments/{index}
/_cat/count
/_cat/count/{index}
/_cat/recovery
/_cat/recovery/{index}
/_cat/health
/_cat/pending_tasks
/_cat/aliases
/_cat/aliases/{alias}
/_cat/thread_pool
/_cat/thread_pool/{thread_pools}
/_cat/plugins
/_cat/fielddata
/_cat/fielddata/{fields}
/_cat/nodeattrs
/_cat/repositories
/_cat/snapshots/{repository}
/_cat/templates

2. put/post 新增和批改二合一

留神下划线开始的属性是元数据

2.1 带ID的PUT和POST

2.1.1 带ID的put

PUT customer/_doc/1{  "name": "niewj",  "age": 20,  "gender": "male"}

间断两次申请后果:

{  "_index" : "customer",  "_type" : "_doc",  "_id" : "1",  "_version" : 21,  "result" : "updated",  "_shards" : {    "total" : 2,    "successful" : 1,    "failed" : 0  },  "_seq_no" : 24,  "_primary_term" : 1}---{  "_index" : "customer",  "_type" : "_doc",  "_id" : "1",  "_version" : 22,  "result" : "updated",  "_shards" : {    "total" : 2,    "successful" : 1,    "failed" : 0  },  "_seq_no" : 25,  "_primary_term" : 1}

可见: _seq_no和version都呈现了新增, 每次都是 updated;

2.1.2 带ID的post跟put一样

2.2 不带ID的put=报错405

put customer/_doc/{  "name": "niewj",  "age": 20,  "gender": "male"}

报错405:

{  "error": "Incorrect HTTP method for uri [/customer/_doc/?pretty] and method [PUT], allowed: [POST]",  "status": 405}

2.3 不带ID的post=每次生成随机新ID

POST customer/_doc/{  "name": "niewj",  "age": 20,  "gender": "male"}

间断两次申请后果: 每次都能够胜利

{  "_index" : "customer",  "_type" : "_doc",  "_id" : "BvNkUHUB7InhghdEZD0I",  "_version" : 1,  "result" : "created",  "_shards" : {    "total" : 2,    "successful" : 1,    "failed" : 0  },  "_seq_no" : 26,  "_primary_term" : 1}---{  "_index" : "customer",  "_type" : "_doc",  "_id" : "B_NkUHUB7InhghdEqD3G",  "_version" : 1,  "result" : "created",  "_shards" : {    "total" : 2,    "successful" : 1,    "failed" : 0  },  "_seq_no" : 27,  "_primary_term" : 1}

然而每次都生成不同的"_id", 也就是说: 每次都是新的数据!

3. POST+_update的更新: 查看更新

#POST customer/_doc/1/_updatePOST customer/_update/1{  "doc":{    "name": "niewj",    "age": 20,    "gender": "male"  }}

留神:

POST customer/_doc/1/_update 这种形式不再举荐(因为type机制移除的起因), 如果应用下面的

POST customer/_doc/1/_update: 会提醒:

#! Deprecation: [types removal] Specifying types in document update requests is deprecated, use the endpoint /{index}/_update/{id} instead.

POST customer/_update/1 间断屡次申请的后果:

{  "_index" : "customer",  "_type" : "_doc",  "_id" : "1",  "_version" : 22,  "result" : "noop",  "_shards" : {    "total" : 0,    "successful" : 0,    "failed" : 0  },  "_seq_no" : 25,  "_primary_term" : 1}---{  "_index" : "customer",  "_type" : "_doc",  "_id" : "1",  "_version" : 22,  "result" : "noop",  "_shards" : {    "total" : 0,    "successful" : 0,    "failed" : 0  },  "_seq_no" : 25,  "_primary_term" : 1}

可见, 屡次申请无变动, post+_update的形式会查看内容的变动, 如果无变动, 则不更新, 有变动才更新; 单纯post和put的形式, 是会每次更新的, 不查看内容; 另外须要留神的是 post+_update的调用形式, 须要把数据放在 doc构造里:

POST customer/_update/1{  "doc":{    "name": "niewj",    "age": 20,    "gender": "male"  }}

4. get查问数据

4.1 指定ID的查问:

GET customer/_doc/1

查问后果:

{  "_index" : "customer",  "_type" : "_doc",  "_id" : "1",  "_version" : 22,  "_seq_no" : 25,  "_primary_term" : 1,  "found" : true,  "_source" : {    "name" : "niewj",    "age" : 20,    "gender" : "male"  }}

4.2 间接GET索引名:返回的是索引的定义信息

GET customer

查问后果:

{  "customer" : {    "aliases" : { },    "mappings" : {      "properties" : {        "age" : {          "type" : "long"        },        "gender" : {          "type" : "text",          "fields" : {            "keyword" : {              "type" : "keyword",              "ignore_above" : 256            }          }        },        "name" : {          "type" : "text",          "fields" : {            "keyword" : {              "type" : "keyword",              "ignore_above" : 256            }          }        }      }    },    "settings" : {      "index" : {        "creation_date" : "1602493864109",        "number_of_shards" : "1",        "number_of_replicas" : "1",        "uuid" : "j5DyzqgTTnG9aWRnAgHVmA",        "version" : {          "created" : "7040299"        },        "provided_name" : "customer"      }    }  }}

包含: mappings/alias/settings, 其中 mappings包含properties, 它的内容就是文档数据的字段类型的阐明:

age/gender/name等索引字段的定义阐明

5. 乐观锁和并发批改:_seq_no和_primary_term

5.1 乐观锁字段阐明

_seq_no: 文档版本号, 作用同version

_primary_term: 文档所在位置

咱们在并发批改的时候, 指定文档序列号(_seq_no):

5.2 并发批改模仿

  1. 咱们先查问看看:
GET customer/_doc/1

数据:

{  "_index" : "customer",  "_type" : "_doc",  "_id" : "1",  "_version" : 22,  "_seq_no" : 25,  "_primary_term" : 1,  "found" : true,  "_source" : {    "name" : "niewj",    "age" : 20,    "gender" : "male"  }}
  1. 并发批改时:
PUT customer/_doc/1?if_seq_no=25&if_primary_term=1{  "name": "jack",  "age": 22}

后果:

{  "_index" : "customer",  "_type" : "_doc",  "_id" : "1",  "_version" : 23,  "result" : "updated",  "_shards" : {    "total" : 2,    "successful" : 1,    "failed" : 0  },  "_seq_no" : 29,  "_primary_term" : 1}
  1. 在此查问 看后果:
GET customer/_doc/1

后果:

{  "_index" : "customer",  "_type" : "_doc",  "_id" : "1",  "_version" : 23,  "_seq_no" : 29,  "_primary_term" : 1,  "found" : true,  "_source" : {    "name" : "jack",    "age" : 22  }}

文档已更新;(留神是全量更新)

  1. 此时如果再次调用, 就会报错, 因为_seq_no曾经产生了扭转:
{  "error": {    "root_cause": [      {        "type": "version_conflict_engine_exception",        "reason": "[1]: version conflict, required seqNo [25], primary term [1]. current document has seqNo [29] and primary term [1]",        "index_uuid": "j5DyzqgTTnG9aWRnAgHVmA",        "shard": "0",        "index": "customer"      }    ],    "type": "version_conflict_engine_exception",    "reason": "[1]: version conflict, required seqNo [25], primary term [1]. current document has seqNo [29] and primary term [1]",    "index_uuid": "j5DyzqgTTnG9aWRnAgHVmA",    "shard": "0",    "index": "customer"  },  "status": 409}

6. 删除文档和索引

6.1 删除document

DELETE customer/_doc/1

后果:

{  "_index" : "customer",  "_type" : "_doc",  "_id" : "1",  "_version" : 24,  "result" : "deleted",  "_shards" : {    "total" : 2,    "successful" : 1,    "failed" : 0  },  "_seq_no" : 30,  "_primary_term" : 1}---再次删除时会:{  "_index" : "customer",  "_type" : "_doc",  "_id" : "1",  "_version" : 1,  "result" : "not_found",  "_shards" : {    "total" : 2,    "successful" : 1,    "failed" : 0  },  "_seq_no" : 31,  "_primary_term" : 1}

第一次调用会胜利删除deleted, 再次调用就: not_found

6.2 删除index

es去掉了type的概念之后(其实之前也没有删除type的机制), 就更明了了:

删除索引:

DELETE customer

result:

{  "acknowledged" : true}---再次调用时报错:{  "error" : {    "root_cause" : [      {        "type" : "index_not_found_exception",        "reason" : "no such index [customer]",        "resource.type" : "index_or_alias",        "resource.id" : "customer",        "index_uuid" : "_na_",        "index" : "customer"      }    ],    "type" : "index_not_found_exception",    "reason" : "no such index [customer]",    "resource.type" : "index_or_alias",    "resource.id" : "customer",    "index_uuid" : "_na_",    "index" : "customer"  },  "status" : 404}

第一次删除索引时胜利acknowledged=true, ;再次删除因为没有了, 所以报错!

7. bulk批量导入数据:post+_bulk

7.1 批量执行3个文档的插入:

POST customer/_bulk{"index": {"_id": "1"}}{"name": "niewj"}{"index": {"_id": "2"}}{"name": "jack"}{"index": {"_id": "5"}}{"name": "michel"}

第一行是元信息, 随后的一行是具体的数据, 此处的操作是, 批量执行3个索引文档的操作, 每个操作有本人独立的后果item信息:

{  "took" : 6,  "errors" : false,  "items" : [    {      "index" : {        "_index" : "customer",        "_type" : "_doc",        "_id" : "1",        "_version" : 1,        "result" : "created",        "_shards" : {          "total" : 2,          "successful" : 1,          "failed" : 0        },        "_seq_no" : 9,        "_primary_term" : 1,        "status" : 201      }    },    {      "index" : {        "_index" : "customer",        "_type" : "_doc",        "_id" : "2",        "_version" : 1,        "result" : "created",        "_shards" : {          "total" : 2,          "successful" : 1,          "failed" : 0        },        "_seq_no" : 10,        "_primary_term" : 1,        "status" : 201      }    },    {      "index" : {        "_index" : "customer",        "_type" : "_doc",        "_id" : "5",        "_version" : 1,        "result" : "created",        "_shards" : {          "total" : 2,          "successful" : 1,          "failed" : 0        },        "_seq_no" : 11,        "_primary_term" : 1,        "status" : 201      }    }  ]}

每个item是有各自的操作后果的! -> "result" : "created"

7.2 混合的批量操作

POST customer/_bulk{"delete": {"_id": "1"}}{"delete": {"_id": "2"}}{"delete": {"_id": "5"}}{"index": {"_id": "1"}}{"name": "niewj01"}{"index": {"_id": "2"}}{"name": "niewj02"}

混合的批量操作: 3个delete文档的操作, 2个索引文档的操作, 所以这个后果应该有5个items元素:

{  "took" : 28,  "errors" : false,  "items" : [    {      "delete" : {        "_index" : "customer",        "_type" : "_doc",        "_id" : "1",        "_version" : 2,        "result" : "deleted",        "_shards" : {          "total" : 2,          "successful" : 1,          "failed" : 0        },        "_seq_no" : 12,        "_primary_term" : 1,        "status" : 200      }    },    {      "delete" : {        "_index" : "customer",        "_type" : "_doc",        "_id" : "2",        "_version" : 2,        "result" : "deleted",        "_shards" : {          "total" : 2,          "successful" : 1,          "failed" : 0        },        "_seq_no" : 13,        "_primary_term" : 1,        "status" : 200      }    },    {      "delete" : {        "_index" : "customer",        "_type" : "_doc",        "_id" : "5",        "_version" : 2,        "result" : "deleted",        "_shards" : {          "total" : 2,          "successful" : 1,          "failed" : 0        },        "_seq_no" : 14,        "_primary_term" : 1,        "status" : 200      }    },    {      "index" : {        "_index" : "customer",        "_type" : "_doc",        "_id" : "1",        "_version" : 3,        "result" : "created",        "_shards" : {          "total" : 2,          "successful" : 1,          "failed" : 0        },        "_seq_no" : 15,        "_primary_term" : 1,        "status" : 201      }    },    {      "index" : {        "_index" : "customer",        "_type" : "_doc",        "_id" : "2",        "_version" : 3,        "result" : "created",        "_shards" : {          "total" : 2,          "successful" : 1,          "failed" : 0        },        "_seq_no" : 16,        "_primary_term" : 1,        "status" : 201      }    }  ]}

下面的批量操作都是在一个index下的, 其实也能够不指定index, 在元信息中指定, 这样, 能够对多个文档进行批量操作, 具体操作略~

7.3 批量初始化官网的accounts.json案例数据

accounts.json数据内容

POST bank/_bulk{"index":{"_id":"938"}}{"account_number":938,"balance":9597,"firstname":"Sharron","lastname":"Santos","age":40,"gender":"F","address":"215 Matthews Place","employer":"Zenco","email":"sharronsantos@zenco.com","city":"Wattsville","state":"VT"}{"index":{"_id":"940"}}{"account_number":940,"balance":23285,"firstname":"Melinda","lastname":"Mendoza","age":38,"gender":"M","address":"806 Kossuth Place","employer":"Kneedles","email":"melindamendoza@kneedles.com","city":"Coaldale","state":"OK"}......数据的内容粘贴

后果:

{  "took" : 612,  "errors" : false,  "items" : [   {      "index" : {        "_index" : "bank",        "_type" : "_doc",        "_id" : "1",        "_version" : 1,        "result" : "created",        "_shards" : {          "total" : 2,          "successful" : 1,          "failed" : 0        },        "_seq_no" : 0,        "_primary_term" : 1,        "status" : 201      }    },    {      "index" : {        "_index" : "bank",        "_type" : "_doc",        "_id" : "6",        "_version" : 1,        "result" : "created",        "_shards" : {          "total" : 2,          "successful" : 1,          "failed" : 0        },        "_seq_no" : 1,        "_primary_term" : 1,        "status" : 201      }    },......]}