ALTER TABLE table_name RENAME COLUMN column_name(修改表中的列名称) ALTERTABLEmovies.movies_aliyundrive-- RENAME COLUMN "仅供学习参考使用,下载后请于24小时内删除.不" TO "分类",-- RENAME COLUMN f2 TO "名称",RENAMECOLUMNf3TO"链接";
Introduction to PostgreSQL RENAME COLUMN clause To rename a column of a table, you use the ALTER TABLE statement with RENAME COLUMN clause as follows: ALTER TABLE table_name RENAME COLUMN column_name TO new_column_name; In this statement: First, specify the name of the table that contains th...
PostgreSQLprovides aRENAME COLUMNclause that is used with the collaboration ofALTER TABLEcommand to rename a column. TheRENAME COLUMNcommand allows us to rename a single or multiple columns.PostgreSQLdoesn’t provide the“IF EXISTS”option for the“RENAME COLUMN”command. This write-up will explain ...
实际上,在MySQL中,并没有直接的RENAME COLUMN语句来重命名字段。这是与其他一些数据库系统(如PostgreSQL)不同的地方。 解决方案 要在MySQL中重命名字段,我们可以使用ALTER TABLE语句,并结合CHANGE关键字来完成。下面是一个示例: ALTERTABLE`table_name`CHANGE`old_column``new_column`INT; 1. 在这个示例中,我们将...
This exact syntax is supported in PostgreSQL, so it also makes migration easier. test=# create table t1 (id int, name varchar(100)); CREATE TABLE test=# alter table t1 rename column name to foo; ALTER TABLE test=# \d t1 Table "public.t1" Column | Type | Modifiers ---+---+---...
PostgreSQL: Rename a User Syntax The syntax to rename a user using the ALTER USER statement in PostgreSQL is: ALTER USER user_name RENAME TO new_name; Parameters or Arguments u postgresql 转载 mob6047570116b7 2019-10-17 08:54:00 180阅读 2评论 Oracle 11.2.0.2新特性——用户重命名(Rename ...
Posted by developer: Fixed in 8.0.3. ALTER TABLE now supports easier column renaming using RENAME COLUMN old_name TO new_name syntax. RENAME COLUMN is more convenient than CHANGE, which requires respecifying the current column definition.
ALTER TABLE CHANGE COLUMN ALTER TABLE DROP PARTITION ALTER TABLE RENAME PARTITION ALTER TABLE REPLACE COLUMNS ALTER TABLE SET LOCATION ALTER TABLE SET TBLPROPERTIES ALTER VIEW DIALECT CREATE DATABASE CREATE TABLE CREATE TABLE AS CREATE VIEW DESCRIBE DESCRIBE VIEW DROP DATABASE DROP TABLE DROP VIEW MSCK...
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import pandas as pd # Create two sample DataFrames df1 = pd.DataFrame({ 'ID': [1, 2, 3], 'Name': ['Selena', 'Annabel', 'Caeso'] }) df2 = pd.DataFrame({ 'ID': [1, 2, 3], 'Salary': [50000, 60000, 70000] }) # Merge the DataFrames on the 'ID' column merged_df ...