is where faster than join ?

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https://stackoverflow.com/questions/1129923/is-a-join-faster-than-a-where

https://stackoverflow.com/questions/1129923/is-a-join-faster-than-a-where
sql – Is a JOIN faster than a WHERE? – Stack Overflow
Is a JOIN faster than a WHERE? Asked 14 years, 6 months ago Modified 3 years, 5 months ago Viewed 79k times 71 Suppose I have two tables that are linked (one has a foreign key to the other):

https://dba.stackexchange.com/questions/3480/what-is-more-efficient-a-where-clause-or-a-join-with-million-plus-row-tables

https://dba.stackexchange.com/questions/3480/what-is-more-efficient-a-where-clause-or-a-join-with-million-plus-row-tables
best practices – What is more efficient, a where clause or a join with …
SELECT m.order_id, i.line_nr, d.Item_amt FROM Master m, Item i INNER JOIN Detail d ON m.order_id = d.order_id Even though there is a logical id link between [Item] and [Detail] the CROSS JOIN worked better than INNER JOIN. The RDBMS was Teradata with its MPP technology, and IDR what the indexing scheme was.

https://www.percona.com / blog / is-there-a-performance-difference-between-join-and-where

https://www.percona.com / blog / is-there-a-performance-difference-between-join-and-where
Is there a performance difference between JOIN and WHERE?
No, there’s no difference. The following queries are algebraically equivalent inside MySQL and will have the same execution plan. 1 2 3 4 5 SELECT * FROM A, B WHERE A.ID = B.ID; SELECT * FROM A JOIN B ON A.ID = B.ID; SELECT * FROM A JOIN B USING(ID);

https://www.sqlshack.com/design-sql-queries-better-performance-select-exists-vs-vs-joins

https://www.sqlshack.com/design-sql-queries-better-performance-select-exists-vs-vs-joins
How to design SQL queries with better performance: SELECT – SQL Shack
There are many reasons for that recommendation, like: SELECT * Retrieves unnecessary data besides that it may increase the network traffic used for your queries. When you SELECT *, it is possible to retrieve two columns of the same name from two different tables (when using JOINS for example).

https://danmartensen.svbtle.com/sql-performance-of-join-and-where-exists

https://danmartensen.svbtle.com/sql-performance-of-join-and-where-exists
SQL Performance of Join and Where Exists – Dan Martensen on Svbtle
Where exists is 9% faster. Even though it uses a correlated sub-query, it’s short circuit algorithm out-performs joins. But this is a best case scenario for inner joins. Do you see a potential problem with the query?

https://www.mssqltips.com/sqlservertip/6659/sql-exists-vs-in-vs-join-performance-comparison

https://www.mssqltips.com/sqlservertip/6659/sql-exists-vs-in-vs-join-performance-comparison
SQL EXISTS vs IN vs JOIN Performance Comparison – SQL Server Tips
Solution As with many situations within SQL Server the answer depends on the circumstances. This tip will look at the pros and cons of each method and use a repeatable methodology to determine which method will offer the fastest performance.

https://www.geeksforgeeks.org/sql-join-vs-subquery

https://www.geeksforgeeks.org/sql-join-vs-subquery
SQL Join vs Subquery – GeeksforGeeks
7 nov. 2022The retrieval time of the query using joins almost always will be faster than that of a subquery. By using joins, you can minimize the calculation burden on the database i.e., instead of multiple queries using one join query. This means you can make better use of the database’s abilities to search through, filter, sort, etc. Disadvantages Of :

https://stackoverflow.com/questions/6777910/sql-performance-on-left-outer-join-vs-not-exists

https://stackoverflow.com/questions/6777910/sql-performance-on-left-outer-join-vs-not-exists
SQL performance on LEFT OUTER JOIN vs NOT EXISTS
3 Answers Sorted by: 78 Joe’s link is a good starting point. Quassnoi covers this too. In general, if your fields are properly indexed, OR if you expect to filter out more records (i.e. have a lots of rows EXIST in the subquery) NOT EXISTS will perform better.

https://learnsql.com/blog/subquery-vs-join

https://learnsql.com/blog/subquery-vs-join
Subquery vs. JOIN – LearnSQL.com
The outer query selects the names (name) and the cost (cost) of the products.Since we don’t want all of the products, we use a WHERE clause to filter the rows to the product IDs returned by the subquery.. Now let’s look at the subquery. The sale table contains sales records of the products. The subquery first filters the records to only those with the sale price equal to $2,000 (price=2000).

https://www.cybertec-postgresql.com/en/join-strategies-and-performance-in-postgresql

https://www.cybertec-postgresql.com/en/join-strategies-and-performance-in-postgresql
Join strategies and performance in PostgreSQL – CYBERTEC
Building the hash table is an extra start-up effort, but probing the hash is much faster than scanning the inner relation. Indexes that can help with hash joins. … which can perform much worse than a nested loop join with an index on the inner relation. In both cases, a bad row count estimate is the cause of the problem. So while the may … lesoutrali bot