hive sql overwrite

Hiv SQL中的`INSERT OVERWRITE`语句用于将查询结果覆盖到指定的表中。例如，以下语句将查询结果覆盖到名为`gji`的表中：\n\```sq\INSERT OVERWRITE TABLE tongji\SELECT '2017-07-09', tab1.pv, tab2.uv, tab3.vv, \FROM tab1 JOIN tab2 ON tab1.i = tab2.i\JOIN tab3 ON tab2.i = tab3.i;\```\n\这将覆盖`gji`表中的所有数据，并用查询结果替换它们。\n\另外，引用中的命令行示例演示了如何将查询结果输出到文件中。在这个例子中，查询结果将被输出到`/mp/ou.tx`文件中。\n\

相关问题

hive-overwrite

Hive's `OVERWRITE` keyword is used in conjunction with the `INSERT INTO` statement to overwrite the existing data in a table with new data. When you use `INSERT OVERWRITE` in Hive, it replaces the existing data in the target table with the new data specified in the query.

Here's an example of how you can use `INSERT OVERWRITE` in Hive:

INSERT OVERWRITE TABLE my_table
SELECT col1, col2, col3
FROM source_table
WHERE condition;

In this example, the data selected from the `source_table` will be inserted into `my_table`, overwriting any existing data in `my_table`.

Please note that using `INSERT OVERWRITE` can be a destructive operation, as it permanently removes the existing data. So, it's important to use it with caution and make sure you have a backup of the data if needed.

hivesql中insert overwrite into用法

在HiveSQL中，INSERT OVERWRITE语句用于将查询结果覆盖到现有表中，以便在执行查询时替换表的内容。语法如下：

INSERT OVERWRITE TABLE table_name [PARTITION (partition_col1[=val1], partition_col2[=val2], ...)]
select_statement;

其中，`table_name`是要写入的表的名称，`PARTITION`子句是可选的，用于指定分区列和分区值，`select_statement`是要执行的查询语句。

以下是一个简单的示例，演示如何使用INSERT OVERWRITE将查询结果覆盖到现有表中：

INSERT OVERWRITE TABLE my_table
SELECT col1, col2, col3
FROM my_source_table
WHERE col1 > 10;

在此示例中，查询结果将覆盖`my_table`表中的所有数据，该查询从`my_source_table`表中选择满足条件`col1 > 10`的`col1`，`col2`和`col3`列。