MySQL query String contains
Quite simple actually: The % is a wildcard for any characters set (none, one or many). Do note that this can get slow on very large datasets so if your database grows you’ll need to use fulltext indices.
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SQL Query with NOT LIKE IN
You cannot combine like and in. The statement below would do the job though:
SQL SELECT WHERE field contains words
Rather slow, but working method to include any of words: If you need all words to be present, use this: If you want something faster, you need to look into full text search, and this is very specific for each database type.
Using group by on multiple columns
Group By X means put all those with the same value for X in the one group. Group By X, Y means put all those with the same values for both X and Y in the one group. To illustrate using an example, let’s say we have the following table, to do with who is attending what subject at … Read more
INSERT statement conflicted with the FOREIGN KEY constraint – SQL Server
In your table dbo.Sup_Item_Cat, it has a foreign key reference to another table. The way a FK works is it cannot have a value in that column that is not also in the primary key column of the referenced table. If you have SQL Server Management Studio, open it up and sp_help ‘dbo.Sup_Item_Cat‘. See which column that FK … Read more
Nested select statement in SQL Server
You need to alias the subquery. or to be more explicit
How can I do a FULL OUTER JOIN in MySQL?
You don’t have full joins in MySQL, but you can sure emulate them. For a code sample transcribed from this Stack Overflow question you have: With two tables t1, t2: The query above works for special cases where a full outer join operation would not produce any duplicate rows. The query above depends on the UNION set operator to remove duplicate rows introduced by the query pattern. … Read more
Update multiple columns in SQL
The “tiresome way” is standard SQL and how mainstream RDBMS do it. With a 100+ columns, you mostly likely have a design problem… also, there are mitigating methods in client tools (eg generation UPDATE statements) or by using ORMs
The SQL OVER() clause – when and why is it useful?
You can use GROUP BY SalesOrderID. The difference is, with GROUP BY you can only have the aggregated values for the columns that are not included in GROUP BY. In contrast, using windowed aggregate functions instead of GROUP BY, you can retrieve both aggregated and non-aggregated values. That is, although you are not doing that in your example … Read more
How to delete duplicate rows in SQL Server?
I would prefer CTE for deleting duplicate rows from sql server table strongly recommend to follow this article ::http://codaffection.com/sql-server-article/delete-duplicate-rows-in-sql-server/ by keeping original without keeping original