Is using distinct in SQL bad?

Does distinct affect performance?

Yes, basically it has to sort the results and then re-processed to eliminate the duplicates. This cull could also be being done during the sort, but we can only speculate as to how exactly the code works in the background. You could try and improve the performance by creating an index composed of all three (3) fields.

Does distinct affect performance in SQL Server?

Yes, as using DISTINCT will (sometimes according to a comment) cause results to be ordered. Sorting hundreds of records takes time. Try GROUP BY all your columns, it can sometimes lead the query optimiser to choose a more efficient algorithm (at least with Oracle I noticed significant performance gain).

Is distinct costly in SQL?

In a table with million records, SQL Count Distinct might cause performance issues because a distinct count operator is a costly operator in the actual execution plan.

Why do we need distinct SQL?

The SELECT DISTINCT statement is used to return only distinct (different) values. Inside a table, a column often contains many duplicate values; and sometimes you only want to list the different (distinct) values.

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Should I use GROUP BY or distinct?

If you want to group your results, use GROUP BY, if you just want a unique list of a specific column, use DISTINCT.

Does distinct make query slower?

Very few queries may perform faster in SELECT DISTINCT mode, and very few will perform slower (but not significantly slower) in SELECT DISTINCT mode but for the later case it is likely that the application may need to examine the duplicate cases, which shifts the performance and complexity burden to the application.

Why is distinct expensive?

1 Answer. Generally, the answer is many milliseconds. The select distinct is equivalent to doing a group by on all the columns. It is unlikely that you have an index on all the columns, so an index will not generally be very useful.

What is difference between distinct and unique?

The main difference between unique and distinct is that UNIQUE is a constraint that is used on the input of data and ensures data integrity. While DISTINCT keyword is used when we want to query our results or in other words, output the data.

How do I count distinct rows in SQL?

Syntax. SELECT COUNT(DISTINCT column) FROM table; This statement would count all the unique entries of the attribute column in the table . DISTINCT ensures that repeated entries are only counted once.

How do you eliminate duplicate rows in SQL query without distinct?

Below are alternate solutions :

  1. 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.
  2. Remove Duplicates using group By.
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Why is distinct slow?

Even when you have an index that matches the exact order and columns for these “last point” queries, PostgreSQL is still forced to scan the entire index to find all unique values. As a table grows (and they grow quickly with time-series data), this operation keeps getting slower.

Should you use distinct?

The distinct keyword is used in conjunction with select keyword. It is helpful when there is a need of avoiding duplicate values present in any specific columns/table. When we use distinct keyword only the unique values are fetched.

Does distinct include NULL?

The DISTINCT clause counts only those columns having distinct (unique) values. … COUNT DISTINCT does not count NULL as a distinct value.

What can I use instead of distinct in SQL?

6 Answers. 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.

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