What can I use instead of select distinct?

What can I use instead of select distinct?

Below are alternate solutions :

• Remove Duplicates Using Row_Number. WITH CTE (Col1, Col2, Col3, DuplicateCount) AS ( SELECT Col1, Col2, Col3, ROW_NUMBER() OVER(PARTITION BY Col1, Col2, Col3 ORDER BY Col1) AS DuplicateCount FROM MyTable ) SELECT * from CTE Where DuplicateCount = 1.
• Remove Duplicates using group By.

How can I get distinct values without using distinct keyword?

You can use GROUP BY to select distinct values in SQL without using the DISTINCT keyword…. Here’s a solution that does not use the DISTINCT keyword:SELECT t1. FROM MyTable AS t1. JOIN (SELECT product, consumer FROM MyTable GROUP BY product, consumer)AS t2 ON t1.

How do I stop distinct in SQL Server?

Put PKs (with Clustered Indexes) on your tables, and a FK relationship between them. Index CountryID in the Users table, and put a Unique Index on the Country field. Once you’ve done all that, using DISTINCT how you have will actually give you the ideal execution plan.

Why you should not use distinct in SQL?

This is why I get nervous about use of ” distinct ” – the spraddr table may include additional columns which you should use to filter out data, and ” distinct ” may be hiding that. Also, you may be generating a massive result set which needs to be filtered by the “distinct” clause, which can cause performance issues.

Is there an alternative way to SELECT COUNT DISTINCT?

SELECT COUNT (DISTINCT col1) FROM table. I dont want to use distinct. Is there an alternative way? Try GROUP BY as a subquery and COUNT () from outside query. It would achieve same result.

Is there an alternative to distinct function in SQL?

Depends on the data and what you want to see, but you could use a group by & aggregate function to get the highest (using MAX) or lowest (using MIN) values from TABLE2… Nope, that’s how it’s done. Speed will depend on your data. Have you tried creating an index on the fields you’re selecting?

When to use group by or distinct in SQL?

GROUP BY is intended for aggregate function use; DISTINCT just removes duplicates (based on all column values matching on a per row basis) from visibility. If TABLE2 allows duplicate values associated to TABLE1 records, you have to use either option.

Is there difference between distinct skips and group by Skips?

Then the difference between the two is that DISTINCT skips rows that are equal to the previous row, and GROUP by happens to run a count using the same metric of equality. No, there’s not, but if you’re struggeling with performance on this, you might want to consider indexes.