
sql - Find all tables containing column with specified name - Stack ...
In MS SQL Server Database, use this query to get the tables and respective column names that contains the input text: SELECT t.name AS tableName, c.name AS columnName
how do I query sql for a latest record date for each user
To get the latest record date along with the corresponding value for each user, you can use a subquery or a common table expression (CTE) in SQL. Here’s a solution using a CTE (if your …
知乎 - 有问题,就会有答案
知乎,中文互联网高质量的问答社区和创作者聚集的原创内容平台,于 2011 年 1 月正式上线,以「让人们更好的分享知识、经验和见解,找到自己的解答」为品牌使命。知乎凭借认真、专业 …
sql - Exclude a column using SELECT * [except columnA] FROM …
We all know that to select all columns from a table, we can use SELECT * FROM tableA Is there a way to exclude column(s) from a table without specifying all the columns? SELECT * [except …
sql server - Altering a column: null to not null - Stack Overflow
Mar 27, 2009 · This is undesirable for several reasons, so I am looking to update all nulls to 0 and then set these columns to NOT NULL. Aside from changing nulls to 0, data must be …
Combining "LIKE" and "IN" for SQL Server - Stack Overflow
Combining "LIKE" and "IN" for SQL Server [duplicate] Asked 15 years, 7 months ago Modified 1 year, 5 months ago Viewed 1.4m times
sql server - Database stuck in "Restoring" state - Stack Overflow
Ran into a similar issue while restoring the database using SQL server management studio and it got stuck into restoring mode. After several hours of issue tracking, the following query worked …
如何自学SQL? - 知乎
SQL直来直去,只要定义必要的输入输出,没有对过程的控制。 了解SQL的大致情况后,我们再来看看如何学? SQL是所有数据库查询的语言,sql由于本身结构化的特点,非常容易入手。
How to return only the Date from a SQL Server DateTime datatype
Sep 22, 2008 · 23 If you are using SQL Server 2012 or above versions, Use Format() function. There are already multiple answers and formatting types for SQL server. But most of the …
sql - Delete duplicate rows keeping the first row - Stack Overflow
Jul 3, 2017 · 10 To delete the duplicate rows from the table in SQL Server, you follow these steps: Find duplicate rows using GROUP BY clause or ROW_NUMBER () function. Use DELETE …