235 lines
5.3 KiB
Markdown
235 lines
5.3 KiB
Markdown
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## Having过滤器(groupBy)
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> [!WARNING]
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> Apache Druid支持两种查询语言: [Druid SQL](druidsql.md) 和 [原生查询](makeNativeQueries.md)。该文档描述了原生查询中的一种查询方式。 对于Druid SQL中使用的该种类型的信息,可以参考 [SQL文档](druidsql.md)。
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having语法用来通过对聚合后的值指定特定条件来决定从GroupBy的结果中返回符合条件的行,基本等价于SQL语法中的**HAVING**
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Apache Druid支持下列类型的having语法
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### 查询过滤器(Query Filters)
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所有的[Druid查询过滤器](filters.md)都可以被用来使用在查询体的Having部分中。 一个查询过滤器的HavingSpec如下:
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```json
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{
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"queryType": "groupBy",
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"dataSource": "sample_datasource",
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...
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"having":
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{
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"type" : "filter",
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"filter" : <any Druid query filter>
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}
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}
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```
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例如,使用一个选择过滤器(selector filter):
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```json
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{
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"queryType": "groupBy",
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"dataSource": "sample_datasource",
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...
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"having":
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{
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"type" : "filter",
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"filter" : {
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"type": "selector",
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"dimension" : "<dimension>",
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"value" : "<dimension_value>"
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}
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}
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}
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```
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对结果行的时间戳进行使用Having语法的时候也可以生效,如同在 "__time" 字段上使用过滤器。
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### 数值过滤器(Numeric Filters)
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最简单的having子句是数字过滤器。数字过滤器可以用作过滤器的更复杂布尔表达式的基过滤器。
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下面是having子句数字筛选器的示例:
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```json
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{
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"queryType": "groupBy",
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"dataSource": "sample_datasource",
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...
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"having":
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{
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"type": "greaterThan",
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"aggregation": "<aggregate_metric>",
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"value": <numeric_value>
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}
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}
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```
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**等于(equalTo)**
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`equalTo`过滤器根据指定的聚合后的值进行匹配,返回等于值的行,语法如下:
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```json
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{
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"queryType": "groupBy",
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"dataSource": "sample_datasource",
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...
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"having":
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{
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"type": "equalTo",
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"aggregation": "<aggregate_metric>",
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"value": <numeric_value>
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}
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}
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```
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这种方式等价于 `HAVING <aggregate> > <value>`
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**大于(Greater Than)**
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`greaterThan`过滤器根据指定的聚合后的值进行匹配,返回大于值的行,语法如下:
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```json
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{
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"queryType": "groupBy",
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"dataSource": "sample_datasource",
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...
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"having":
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{
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"type": "greaterThan",
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"aggregation": "<aggregate_metric>",
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"value": <numeric_value>
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}
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}
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```
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这种方式等价于 `HAVING <aggregate> > <value>`
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**小于(Less Than)**
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`lessThan`过滤器根据指定的聚合后的值进行匹配,返回大于值的行,语法如下:
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```json
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{
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"queryType": "groupBy",
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"dataSource": "sample_datasource",
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...
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"having":
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{
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"type": "lessThan",
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"aggregation": "<aggregate_metric>",
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"value": <numeric_value>
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}
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}
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```
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这种方式等价于 `HAVING <aggregate> < <value>`
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### 维度选择过滤器(Dimension Selector Filter)
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**dimSelector**
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dimSelector过滤器根据维度值等于特定值来匹配行,语法如下:
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```json
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{
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"queryType": "groupBy",
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"dataSource": "sample_datasource",
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...
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"having":
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{
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"type": "dimSelector",
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"dimension": "<dimension>",
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"value": <dimension_value>
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}
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}
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```
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### 逻辑表达式过滤器(Logical Expression Filters)
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**AND**
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```json
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{
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"queryType": "groupBy",
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"dataSource": "sample_datasource",
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...
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"having":
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{
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"type": "and",
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"havingSpecs": [
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{
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"type": "greaterThan",
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"aggregation": "<aggregate_metric>",
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"value": <numeric_value>
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},
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{
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"type": "lessThan",
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"aggregation": "<aggregate_metric>",
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"value": <numeric_value>
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}
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]
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}
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}
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```
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**OR**
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```json
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{
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"queryType": "groupBy",
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"dataSource": "sample_datasource",
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...
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"having":
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{
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"type": "or",
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"havingSpecs": [
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{
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"type": "greaterThan",
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"aggregation": "<aggregate_metric>",
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"value": <numeric_value>
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},
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{
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"type": "equalTo",
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"aggregation": "<aggregate_metric>",
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"value": <numeric_value>
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}
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]
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}
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}
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```
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**NOT**
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```json
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{
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"queryType": "groupBy",
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"dataSource": "sample_datasource",
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...
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"having":
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{
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"type": "not",
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"havingSpec":
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{
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"type": "equalTo",
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"aggregation": "<aggregate_metric>",
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"value": <numeric_value>
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}
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}
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}
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```
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