elasticsearch时间字段的处理

首先，确报创建索引是的mapping字段和json写入的字段名称一致，否则会有意想不到的问题。刚开始，redis里的json字符串字段为regular_detail_hour,但是，我在创建索引时写的为：regular_detail_time。通过logstash写入到ES，并不报错，只是新建了一个叫regular_detail_hour的字段。
通过bean实例化了一个json，然后通过RedisTemplate

 ListOperations<String,String> liststring=redisTemplate.opsForList();
        liststring.rightPush(key,value);
        return(true);

写入到redis数据，list类型。
logstash会通过消息队列类型的操作去读取数据，读完就删。

input {
    redis {
             host => "172.19.112.4"
             data_type => "list"
             key => "di"
             type => "di"
          }
}

filter {
  if [type] == "di" {
    json { source => "message"}
    mutate { remove_field => ["message","tags"] }
    date { match => [ "rept_col_time", "yyyy-MM-dd HH:mm:ss" ]  
           target =>"@timestamp"
           locale => "en"  
           timezone => "+00:00"    
         }  
     }
}

output {
   if [type] == "di"{
    if "_grokparsefailure" not in [tags] and "_groktimeout" not in [tags]{
       elasticsearch {
         hosts => ["10.96.91.208:9200","10.96.91.209:9200","10.96.91.210:9200","10.96.91.211:9200"]
         index => "di"
      }
   }
  }
}

另一边，ElasticSearch，也进行日期类型的处理，必须和json字符串的格式一样，否则出错。

put di
{
   "mappings" : {
        "di" : {
                 "properties" : {
                                  "@timestamp": {"type": "date"},
                                  "@version": {"type": "text","fields": {"keyword": {"type": "keyword","ignore_above": 256}}},
                                  "rpt_id" : { "type" : "keyword" },
                                  "iiiii" : { "type" : "keyword" },
                                  "data_type" : { "type" : "keyword" },
                                  "rpt_arrive_time" : { "type" : "date","format": "yyyy-MM-dd HH:mm:ss"},
                                  "filename" : { "type" : "keyword" },
                                  "observe_time" : { "type" : "date","format": "yyyy-MM-dd HH:mm:ss" },
                                  "regular_detail_hour" : { "type" : "date" ,"format": "yyyy-MM-dd HH:mm:ss"},
                                  "bbb" : { "type" : "keyword" },
                                  "rept_validity" : { "type" : "short" },
                                  "rept_status" : { "type" : "short" },
                                  "rept_col_time" : { "type" : "date","format":"yyyy-MM-dd HH:mm:ss"},
                                  "data_source" : { "type" : "keyword" },
                                  "data_source_name" : { "type" : "keyword" },
                                  "part_day" : { "type" : "short" },
                                  "data_type_new":{"type" : "keyword"}
            }
        }
    }
}

至此结束