需求：把作家所有作品的总点击数加起来求和再进行排序的一个实现
1.先通过SQL语句计算出作家排行
select sum(a.clickcount) countTotal,a.author,group_concat(a.name) novel_names
from db_novel.novel_test a group by author order by countTotal desc ;
2.把SQL语句转换成ES语句
语句转换地址：http://www.ischoolbar.com/EsParser/
3.格式化 ES语句
格式化语句地址：http://www.bejson.com/
4.创建索引【novel_author_countsort 】
拷贝之前创建的novel索引脚本，直接修改author字段的类型为【 keyword 】
{
"novel_author_countsort" : {
"mappings" : {
"doc" : {
"properties" : {
"@timestamp" : {
"type" : "date"
},
"@version" : {
"type" : "text",
"fields" : {
"keyword" : {
"type" : "keyword",
"ignore_above" : 256
}
}
},
"author" : {
"type" : "keyword"
},
"category" : {
"type" : "keyword"
},
"clickcount" : {
"type" : "long"
},
"collect" : {
"type" : "long"
},
"count" : {
"type" : "long"
},
"countrecommend" : {
"type" : "long"
},
"detail" : {
"type" : "text",
"fields" : {
"keyword" : {
"type" : "keyword",
"ignore_above" : 256
}
}
},
"id" : {
"type" : "long"
},
"lastchapter" : {
"type" : "text",
"fields" : {
"keyword" : {
"type" : "keyword",
"ignore_above" : 256
}
}
},
"lastupdate" : {
"type" : "date",
"format" : "yyyy-MM-dd HH:mm:ss||yyyy-MM-dd||epoch_millis"
},
"monthclick" : {
"type" : "long"
},
"monthrecommend" : {
"type" : "long"
},
"name" : {
"type" : "keyword"
},
"new" : {
"type" : "text",
"fields" : {
"keyword" : {
"type" : "keyword",
"ignore_above" : 256
}
}
},
"novelinfo" : {
"type" : "keyword"
},
"picurl" : {
"type" : "text",
"fields" : {
"keyword" : {
"type" : "keyword",
"ignore_above" : 256
}
}
},
"status" : {
"type" : "text",
"fields" : {
"keyword" : {
"type" : "keyword",
"ignore_above" : 256
}
}
},
"weekclick" : {
"type" : "long"
},
"weekrecommend" : {
"type" : "long"
}
}
}
}
}
}
5.给索引【novel_author_countsort】加载数据
# 加载数据
POST _reindex
{
"source": {
"index": "novel"
},
"dest": {
"index": "novel_author_countsort"
}
}
6.测试
基于之前SQL语句生成的ES脚本进行测试
# 测试
GET novel_author_countsort/_search
{
"size" : 0,
"aggs": {
"author": {
"terms": {
"field": "author",
"size": 10,
"order": {
"countTotal": "DESC"
}
},
"aggs": {
"countTotal": {
"sum": {
"field": "clickcount"
}
},
"top": {
"top_hits": {
"size": 1
}
}
}
}
}
}
7.测试数据分组页面效果
以上内容仅供参考学习，如有侵权请联系我删除！
如果这篇文章对您有帮助，左下角的大拇指就是对博主最大的鼓励。
您的鼓励就是博主最大的动力！