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adjust countif number
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‎src/UserGuide/Master/Table/SQL-Manual/Basis-Function.md‎

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@@ -157,8 +157,9 @@ SELECT LEAST(temperature,humidity) FROM table2;
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### 2.2 Supported Aggregate Functions
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| Function Name | Description | Allowed Input Types | Output Type |
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|:--------------|:---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:-------------------------------------------------------------------| :----------------------------------------- |
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|:--------------|:---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:-------------------------------------------------------------------|:-------------------------------------------|
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| COUNT | Counts the number of data points. | All types | INT64 |
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| COUNT_IF | COUNT_IF(exp) counts the number of rows that satisfy a specified boolean expression. | `exp` must be a boolean expression,(e.g. `count_if(temperature>20)`) | INT64 |
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| SUM | Calculates the sum. | INT32 INT64 FLOAT DOUBLE | DOUBLE |
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| AVG | Calculates the average. | INT32 INT64 FLOAT DOUBLE | DOUBLE |
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| MAX | Finds the maximum value. | All types | Same as input type |
@@ -177,7 +178,7 @@ SELECT LEAST(temperature,humidity) FROM table2;
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| MIN_BY | MIN_BY(x, y) finds the value of x corresponding to the minimum y in the binary input x and y. MIN_BY(time, x) returns the timestamp when x is at its minimum. | x and y can be of any type | Same as the data type of the first input x |
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| FIRST_BY | FIRST_BY(x, y) finds the value of x in the same row when y is the first non-null value. | x and y can be of any type | Same as the data type of the first input x |
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| LAST_BY | LAST_BY(x, y) finds the value of x in the same row when y is the last non-null value. | x and y can be of any type | Same as the data type of the first input x |
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| COUNT_IF | COUNT_IF(exp) counts the number of rows that satisfy a specified boolean expression. | `exp` must be a boolean expression,(e.g. `count_if(temperature>20)`) | INT64 |
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### 2.3 Examples
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It costs 0.834s
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```
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#### 2.3.3 First
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#### 2.3.3 Count_if
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Count `Non-Null` `arrival_time` Records in `table2`
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```sql
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select count_if(arrival_time is not null) from table2;
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```
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The execution result is as follows:
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```sql
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+-----+
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|_col0|
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+-----+
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| 4|
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+-----+
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Total line number = 1
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It costs 0.047s
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```
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#### 2.3.4 First
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Finds the values with the smallest timestamp that are not NULL in the `temperature` and `humidity` columns.
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It costs 0.170s
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```
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#### 2.3.4 Last
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#### 2.3.5 Last
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Finds the values with the largest timestamp that are not NULL in the `temperature` and `humidity` columns.
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It costs 0.211s
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```
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#### 2.3.5 First_by
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#### 2.3.6 First_by
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Finds the `time` value of the row with the smallest timestamp that is not NULL in the `temperature` column, and the `humidity` value of the row with the smallest timestamp that is not NULL in the `temperature` column.
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It costs 0.269s
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```
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#### 2.3.6 Last_by
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#### 2.3.7 Last_by
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Queries the `time` value of the row with the largest timestamp that is not NULL in the `temperature` column, and the `humidity` value of the row with the largest timestamp that is not NULL in the `temperature` column.
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It costs 0.070s
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```
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#### 2.3.7 Max_by
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#### 2.3.8 Max_by
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Queries the `time` value of the row where the `temperature` column is at its maximum, and the `humidity` value of the row where the `temperature` column is at its maximum.
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It costs 0.172s
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```
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#### 2.3.8 Min_by
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#### 2.3.9 Min_by
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Queries the `time` value of the row where the `temperature` column is at its minimum, and the `humidity` value of the row where the `temperature` column is at its minimum.
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```
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### 2.3.9 Count_if
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Count `Non-Null` `arrival_time` Records in `table2`
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```sql
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select count_if(arrival_time is not null) from table2;
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```
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The execution result is as follows:
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```sql
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+-----+
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|_col0|
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+-----+
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| 4|
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+-----+
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Total line number = 1
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It costs 0.047s
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```
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## 3. Logical operators
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### 3.1 Overview

‎src/UserGuide/latest-Table/SQL-Manual/Basis-Function.md‎

Lines changed: 31 additions & 29 deletions
Original file line numberDiff line numberDiff line change
@@ -157,8 +157,9 @@ SELECT LEAST(temperature,humidity) FROM table2;
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### 2.2 Supported Aggregate Functions
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159159
| Function Name | Description | Allowed Input Types | Output Type |
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|:--------------|:---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:-------------------------------------------------------------------| :----------------------------------------- |
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|:--------------|:---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:-------------------------------------------------------------------|:-------------------------------------------|
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| COUNT | Counts the number of data points. | All types | INT64 |
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| COUNT_IF | COUNT_IF(exp) counts the number of rows that satisfy a specified boolean expression. | `exp` must be a boolean expression,(e.g. `count_if(temperature>20)`) | INT64 |
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| SUM | Calculates the sum. | INT32 INT64 FLOAT DOUBLE | DOUBLE |
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| AVG | Calculates the average. | INT32 INT64 FLOAT DOUBLE | DOUBLE |
164165
| MAX | Finds the maximum value. | All types | Same as input type |
@@ -177,7 +178,7 @@ SELECT LEAST(temperature,humidity) FROM table2;
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| MIN_BY | MIN_BY(x, y) finds the value of x corresponding to the minimum y in the binary input x and y. MIN_BY(time, x) returns the timestamp when x is at its minimum. | x and y can be of any type | Same as the data type of the first input x |
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| FIRST_BY | FIRST_BY(x, y) finds the value of x in the same row when y is the first non-null value. | x and y can be of any type | Same as the data type of the first input x |
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| LAST_BY | LAST_BY(x, y) finds the value of x in the same row when y is the last non-null value. | x and y can be of any type | Same as the data type of the first input x |
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| COUNT_IF | COUNT_IF(exp) counts the number of rows that satisfy a specified boolean expression. | `exp` must be a boolean expression,(e.g. `count_if(temperature>20)`) | INT64 |
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### 2.3 Examples
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It costs 0.834s
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```
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#### 2.3.3 First
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#### 2.3.3 Count_if
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Count `Non-Null` `arrival_time` Records in `table2`
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```sql
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select count_if(arrival_time is not null) from table2;
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```
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The execution result is as follows:
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```sql
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+-----+
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|_col0|
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+-----+
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| 4|
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+-----+
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Total line number = 1
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It costs 0.047s
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```
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#### 2.3.4 First
211234

212235
Finds the values with the smallest timestamp that are not NULL in the `temperature` and `humidity` columns.
213236

@@ -227,7 +250,7 @@ Total line number = 1
227250
It costs 0.170s
228251
```
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#### 2.3.4 Last
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#### 2.3.5 Last
231254

232255
Finds the values with the largest timestamp that are not NULL in the `temperature` and `humidity` columns.
233256

@@ -247,7 +270,7 @@ Total line number = 1
247270
It costs 0.211s
248271
```
249272

250-
#### 2.3.5 First_by
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#### 2.3.6 First_by
251274

252275
Finds the `time` value of the row with the smallest timestamp that is not NULL in the `temperature` column, and the `humidity` value of the row with the smallest timestamp that is not NULL in the `temperature` column.
253276

@@ -267,7 +290,7 @@ Total line number = 1
267290
It costs 0.269s
268291
```
269292

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#### 2.3.6 Last_by
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#### 2.3.7 Last_by
271294

272295
Queries the `time` value of the row with the largest timestamp that is not NULL in the `temperature` column, and the `humidity` value of the row with the largest timestamp that is not NULL in the `temperature` column.
273296

@@ -287,7 +310,7 @@ Total line number = 1
287310
It costs 0.070s
288311
```
289312

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#### 2.3.7 Max_by
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#### 2.3.8 Max_by
291314

292315
Queries the `time` value of the row where the `temperature` column is at its maximum, and the `humidity` value of the row where the `temperature` column is at its maximum.
293316

@@ -307,7 +330,7 @@ Total line number = 1
307330
It costs 0.172s
308331
```
309332

310-
#### 2.3.8 Min_by
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#### 2.3.9 Min_by
311334

312335
Queries the `time` value of the row where the `temperature` column is at its minimum, and the `humidity` value of the row where the `temperature` column is at its minimum.
313336

@@ -328,27 +351,6 @@ It costs 0.244s
328351
```
329352

330353

331-
### 2.3.9 Count_if
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333-
Count `Non-Null` `arrival_time` Records in `table2`
334-
335-
```sql
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select count_if(arrival_time is not null) from table2;
337-
```
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The execution result is as follows:
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```sql
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+-----+
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|_col0|
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+-----+
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| 4|
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+-----+
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Total line number = 1
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It costs 0.047s
349-
```
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## 3. Logical operators
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### 3.1 Overview

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