ElasticSearch(7.2.2)-es聚合查询之桶聚合
ElasticSearch(7.2.2)-es聚合查询之桶聚合
cwl_java
发布于 2019-11-03 12:42:01
发布于 2019-11-03 12:42:01
文章被收录于专栏：cwl_Java
版权声明：本文为博主原创文章，遵循 CC 4.0 BY-SA 版权协议，转载请附上原文出处链接和本声明。undefined本文链接：https://blog.csdn.net/weixin_42528266/article/details/102812520
简介：⼿把⼿玩转es的聚合查询之桶聚合
ES聚合分析
- 聚合分析是数据库中重要的功能特性，完成对⼀个查询的数据集中数据的聚合计算，如：找出某字段（或计算表达式的结果）的最⼤值、最⼩值，计算和、平均值等。ES作为搜索引擎兼数据库，同样提供了强⼤的聚合分析能⼒。
- 对⼀个数据集求最⼤、最⼩、和、平均值等指标的聚合，在ES中称为指标聚合
- 关系型数据库中除了有聚合函数外，还可以对查询出的数据进⾏分组group by，再在组上进⾏指标聚合。在ES中称为桶聚合
Terms Aggregation 根据字段项分组聚合
- ⽕箭队根据年龄进⾏分组
POST /nba/_search
{
"query": {
"term": {
"teamNameEn": {
"value": "Rockets"
}
}
},
"aggs": {
"aggsAge": {
"terms": {
"field": "age",
"size": 10
}
}
},
"size": 0
}order 分组聚合排序
- ⽕箭队根据年龄进⾏分组，分组信息通过年龄从⼤到⼩排序 (通过指定字段)
POST /nba/_search
{
"query": {
"term": {
"teamNameEn": {
"value": "Rockets"
}
}
},
"aggs": {
"aggsAge": {
"terms": {
"field": "age",
"size": 10,
"order": {
"_key": "desc"
}
}
}
},
"size": 0
}- ⽕箭队根据年龄进⾏分组，分组信息通过⽂档数从⼤到⼩排序 (通过⽂档数)
POST /nba/_search
{
"query": {
"term": {
"teamNameEn": {
"value": "Rockets"
}
}
},
"aggs": {
"aggsAge": {
"terms": {
"field": "age",
"size": 10,
"order": {
"_count": "desc"
}
}
}
},
"size": 0
}- 每⽀球队按该队所有球员的平均年龄进⾏分组排序 (通过分组指标值)
POST /nba/_search
{
"aggs": {
"aggsTeamName": {
"terms": {
"field": "teamNameEn",
"size": 30,
"order": {
"avgAge": "desc"
}
},
"aggs": {
"avgAge": {
"avg": {
"field": "age"
}
}
}
}
},
"size": 0
}筛选分组聚合
- 湖⼈和⽕箭队按球队平均年龄进⾏分组排序 (指定值列表)
POST /nba/_search
{
"aggs": {
"aggsTeamName": {
"terms": {
"field": "teamNameEn",
"include": ["Lakers", "Rockets", "Warriors"],
"exclude": ["Warriors"],
"size": 30,
"order": {
"avgAge": "desc"
}
},
"aggs": {
"avgAge": {
"avg": {
"field": "age"
}
}
}
}
},
"size": 0
}- 湖⼈和⽕箭队按球队平均年龄进⾏分组排序 (正则表达式匹配值)
POST / nba / _search
{
"aggs": {
"aggsTeamName": {
"terms": {
"field": "teamNameEn",
"include": "Lakers|Ro.*|Warriors.*",
"exclude": "Warriors",
"size": 30,
"order": {
"avgAge": "desc"
}
},
"aggs": {
"avgAge": {
"avg": {
"field": "age"
}
}
}
}
},
"size": 0
}Range Aggregation 范围分组聚合
- NBA球员年龄按20,20-35,35这样分组
POST /nba/_search
{
"aggs": {
"ageRange": {
"range": {
"field": "age",
"ranges": [{
"to": 20,
"key": "A"
},
{
"from": 20,
"to": 35,
"key": "B"
},
{
"from": 35,
"key": "C"
}
]
}
}
},
"size": 0
}Date Range Aggregation 时间范围分组聚合
- NBA球员按出⽣年⽉分组
POST /nba/_search
{
"aggs": {
"birthDayRange": {
"date_range": {
"field": "birthDay",
"format": "MM-yyy",
"ranges": [{
"to": "01-1989"
},
{
"from": "01-1989",
"to": "01-1999"
},
{
"from": "01-1999",
"to": "01-2009"
},
{
"from": "01-2009"
}
]
}
}
},
"size": 0
}Date Histogram Aggregation 时间柱状图聚合
- 按天、⽉、年等进⾏聚合统计。可按 year (1y), quarter (1q), month (1M), week (1w), day(1d), hour (1h), minute (1m), second (1s) 间隔聚合
- NBA球员按出⽣年分组
POST /nba/_search
{
"aggs": {
"birthday_aggs": {
"date_histogram": {
"field": "birthDay",
"format": "yyyy",
"interval": "year"
}
}
},
"size": 0
}本文参与 腾讯云自媒体同步曝光计划，分享自作者个人站点/博客。
原始发表：2019/10/30 ，如有侵权请联系 cloudcommunity@tencent.com 删除
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