docs/UserGuide/Query-Data/Having-Condition.md

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# Aggregate Result Filtering

If you want to filter the results of aggregate queries, 
you can use the `HAVING` clause after the `GROUP BY` clause.

> NOTE：
>
> 1.The expression in HAVING clause must consist of aggregate values; the original sequence cannot appear alone.
> The following usages are incorrect：
> ```sql
> select count(s1) from root.** group by ([1,3),1ms) having sum(s1) > s1
> select count(s1) from root.** group by ([1,3),1ms) having s1 > 1
> ```
> 2.When filtering the `GROUP BY LEVEL` result, the PATH in `SELECT` and `HAVING` can only have one node.
> The following usages are incorrect：
> ```sql
> select count(s1) from root.** group by ([1,3),1ms), level=1 having sum(d1.s1) > 1
> select count(d1.s1) from root.** group by ([1,3),1ms), level=1 having sum(s1) > 1
> ```

Here are a few examples of using the 'HAVING' clause to filter aggregate results.

Aggregation result 1：

```
+-----------------------------+---------------------+---------------------+
|                         Time|count(root.test.*.s1)|count(root.test.*.s2)|
+-----------------------------+---------------------+---------------------+
|1970-01-01T08:00:00.001+08:00|                    4|                    4|
|1970-01-01T08:00:00.003+08:00|                    1|                    0|
|1970-01-01T08:00:00.005+08:00|                    2|                    4|
|1970-01-01T08:00:00.007+08:00|                    3|                    2|
|1970-01-01T08:00:00.009+08:00|                    4|                    4|
+-----------------------------+---------------------+---------------------+
```

Aggregation result filtering query 1：

```sql
 select count(s1) from root.** group by ([1,11),2ms), level=1 having count(s2) > 1
```

Filtering result 1：

```
+-----------------------------+---------------------+
|                         Time|count(root.test.*.s1)|
+-----------------------------+---------------------+
|1970-01-01T08:00:00.001+08:00|                    4|
|1970-01-01T08:00:00.005+08:00|                    2|
|1970-01-01T08:00:00.009+08:00|                    4|
+-----------------------------+---------------------+
```

Aggregation result 2：

```
+-----------------------------+-------------+---------+---------+
|                         Time|       Device|count(s1)|count(s2)|
+-----------------------------+-------------+---------+---------+
|1970-01-01T08:00:00.001+08:00|root.test.sg1|        1|        2|
|1970-01-01T08:00:00.003+08:00|root.test.sg1|        1|        0|
|1970-01-01T08:00:00.005+08:00|root.test.sg1|        1|        2|
|1970-01-01T08:00:00.007+08:00|root.test.sg1|        2|        1|
|1970-01-01T08:00:00.009+08:00|root.test.sg1|        2|        2|
|1970-01-01T08:00:00.001+08:00|root.test.sg2|        2|        2|
|1970-01-01T08:00:00.003+08:00|root.test.sg2|        0|        0|
|1970-01-01T08:00:00.005+08:00|root.test.sg2|        1|        2|
|1970-01-01T08:00:00.007+08:00|root.test.sg2|        1|        1|
|1970-01-01T08:00:00.009+08:00|root.test.sg2|        2|        2|
+-----------------------------+-------------+---------+---------+
```

Aggregation result filtering query 2：

```sql
 select count(s1), count(s2) from root.** group by ([1,11),2ms) having count(s2) > 1 align by device
```

Filtering result 2：

```
+-----------------------------+-------------+---------+---------+
|                         Time|       Device|count(s1)|count(s2)|
+-----------------------------+-------------+---------+---------+
|1970-01-01T08:00:00.001+08:00|root.test.sg1|        1|        2|
|1970-01-01T08:00:00.005+08:00|root.test.sg1|        1|        2|
|1970-01-01T08:00:00.009+08:00|root.test.sg1|        2|        2|
|1970-01-01T08:00:00.001+08:00|root.test.sg2|        2|        2|
|1970-01-01T08:00:00.005+08:00|root.test.sg2|        1|        2|
|1970-01-01T08:00:00.009+08:00|root.test.sg2|        2|        2|
+-----------------------------+-------------+---------+---------+
```