利用kibana插件对Elasticsearch进行批量操作

#############批量获取#################

#获取所有数据
GET _mget
{
  "docs": [
    {"_index":"testdb",
      "_type":"job1",
      "_id":
    },
    {"_index":"testdb",
      "_type":"job2",
      "_id":
    }
    ]
}

#查询某数据库下的数据
GET testdb/_mget
{
  "docs": [
    {
      "_type":"job1",
      "_id":
    },
    {
      "_type":"job2",
      "_id":
    }
    ]
}

#查询某数据库下某表的数据
GET testdb/job1/_mget
{
  "docs": [
    {
      "_id":
    },
    {
      "_id":
    }
    ]
}

#某表下数据更为简单的方法
GET testdb/job1/_mget
{
  "ids": [,]
}

############bulk批量操作##########
#批量导入可以合并多个操作，比如index,delete,update,create等等.也可以从一个索引导入到另外一个索引

action_and_meta_data\n
optional_source\n
action_and_meta_data\n
optional_source\n
····
action_and_meta_data\n
optional_source\n

#需要注意的是，每一条数据都由两行构成（delete）除外，其他的命令比如index和create都是由元信息行和数据行组成,update比较特殊，他的特殊行可能是doc也可能是upsert或者script，如果不了解的朋友可以参考前面的update的翻译

#例子
{ "index" : { "_index" : "test" , "_type" : "type1" , "_id" : "" } }
{"field":"value1"}

POST _bulk
{ "index" : { "_index" : "lagou" , "_type" : "job1" , "_id" : "" } }
{"title":"python分布式爬虫开发","salary_min":,"city":"北京","company":{"name":"百度","company_addr":"北京市软件园"},"publish_date":"2017-4-16","comments":}
{ "index" : { "_index" : "lagou" , "_type" : "job2" , "_id" : "" } }
{"title":"python django 开发工程师","salary_min":,"city":"上海","company":{"name":"美团","company_addr":"北京市软件A园"},"publish_date":"2017-4-16","comments":}

#特殊提交方式的字段，delete只有一行,update有特殊字，另外，不要一次提交特别多，

{ "index" : { "_index" : "test" , "_type" : "type1" , "_id" : "" } }
{ "field" : "value1" }
{ "delete" : { "_index" : "test", "_type" : "_type1", "_id" : "" } }
{ "create" : { "_index" : "test", "_type" : "_type1", "_id" : "" } }
{ "field" : "value3" }
{ "update" : { "_index" : "test" , "_type" : "type1" , "_id" : "" } }
{ "doc" : { "field2" : "value2" }  }