Your question: How do you use join instead of not in SQL?

How do you replace not exists with a join?

select distinct, from Employee a join Dependencies b on = b. eid where not exists ( select * from Dependencies d where = and = ‘Apple’ ) and exists ( select * from Dependencies c where = and = ‘Orange’ );

What can I use instead of not in SQL?

An alternative for IN and EXISTS is an INNER JOIN, while a LEFT OUTER JOIN with a WHERE clause checking for NULL values can be used as an alternative for NOT IN and NOT EXISTS.

How do you avoid not in clause in SQL?

There are options to avoid it.

  1. — First Let’s create some tables and populate them. …
  2. — To retrieve the rows in T1 but not in T2 We can use NOT IN (ID 3) …
  3. — Not In works, but as the number of records grows, NOT IN performs worse. …
  4. — Another option is to use LEFT OUTER JOIN. …
  5. — In SQL Server 2005 or Later, We can use EXCEPT.

Can we use join without on?

Omit the ON clause from the JOIN statement

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In MySQL, it’s possible to have a JOIN statement without ON as ON is an optional clause. You can just simplly JOIN two tables like this: … It will match each row from table_a to every row in table_b . It’s similar to run SELECT * FROM multiple tables statement below.

Which is faster join or exists?

In most cases, EXISTS or JOIN will be much more efficient (and faster) than an IN statement. … With an EXISTS or a JOIN, the database will return true/false while checking the relationship specified. Unless the table in the subquery is very small, EXISTS or JOIN will perform much better than IN.

Which is faster Left join or not exists?

Many years ago (SQL Server 6.0 ish), LEFT JOIN was quicker, but that hasn’t been the case for a very long time. These days, NOT EXISTS is marginally faster. The biggest impact in Access is that the JOIN method has to complete the join before filtering it, constructing the joined set in memory.

Which is better in or exists SQL?

The EXISTS clause is much faster than IN when the subquery results is very large. Conversely, the IN clause is faster than EXISTS when the subquery results is very small. Also, the IN clause can’t compare anything with NULL values, but the EXISTS clause can compare everything with NULLs.

What is the difference between not in and not exists?

not in can also take literal values whereas not exists need a query to compare the results with. EDIT: not exists could be good to use because it can join with the outer query & can lead to usage of index, if the criteria uses column that is indexed.

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How does SQL not in work?

NOT IN clause in SQL Server is nothing but a series of NOT EQUAL TO. One of the values from the subquery is a NULL. The result set (custname from tbl_customers) contains A, B & NULL. Every value from the outer query is compared with every value from the inner query.

Which is the correct Behaviour of In & exists clause?

There is a common misconception that IN behaves equally to EXISTS or JOIN in terms of returned results. This is simply not true. IN: Returns true if a specified value matches any value in a subquery or a list. Exists: Returns true if a subquery contains any rows.

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