Spark SQL语法
时间: 2023-09-16 22:14:58 浏览: 212
剥离的Parser模块,用于查看Spark SQL语法解析SQL后生成的语法树
Spark SQL是一种用于结构化数据处理的模块,它支持使用SQL语言进行数据查询和操作。下面是一些常用的Spark SQL语法:
1. 创建表
```
CREATE TABLE table_name (
column1 data_type,
column2 data_type,
column3 data_type,
...
)
```
2. 插入数据
```
INSERT INTO table_name VALUES (value1, value2, value3, ...)
```
3. 查询数据
```
SELECT column1, column2, column3, ...
FROM table_name
WHERE condition
```
4. 更新数据
```
UPDATE table_name
SET column = new_value
WHERE condition
```
5. 删除数据
```
DELETE FROM table_name
WHERE condition
```
6. 聚合函数
```
SELECT COUNT(column_name) FROM table_name
SELECT SUM(column_name) FROM table_name
SELECT AVG(column_name) FROM table_name
SELECT MAX(column_name) FROM table_name
SELECT MIN(column_name) FROM table_name
```
7. 连接查询
```
SELECT column1, column2, ...
FROM table1
JOIN table2
ON table1.column_name = table2.column_name
```
以上是一些常用的Spark SQL语法,更多语法可以参考Spark SQL官方文档。
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