Select Top 1 Postgresql

Select Top 1 Postgresql I have a table with three columns City Orderid Total quantity and more than 500 rows I want to fetch the top 50 records according to total quantity wise I can do this with

SELECT TOP n WITH TIES FROM tablename I know about LIMIT in PostgreSQL but does the equivalent of the above exist I m just curious as it would save an extra query each time for me If On PostgreSQL there are two ways to achieve this goal SQL Standard The first option is to use the SQL 2008 standard way of limiting a result set using the FETCH FIRST N

Select Top 1 Postgresql

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Select top 1 with ties DocumentID Status DateCreated from DocumentStatusLogs order by row number over partition by DocumentID order by DateCreated desc The select top souleiman Each query is as fast as it can be The query planner will use the appropriate index and return as fast as possible O log N however doing this in 2 separate

SELECT 1 FROM TABLE NAME means Return 1 from the table It is pretty unremarkable on its own so normally it will be used with WHERE and often EXISTS as gbn notes this is not If you are using PostgreSql 13 then use FETCH FIRST SELECT name AVG score as avg score FROM students GROUP BY name ORDER BY avg score DESC FETCH FIRST 5

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Everywhere people select top value using ORDER BY and LIMIT But how to deal a scenario where the last element has duplicate entries Consider a 5 row table name It fixed my problem with above answered since SQL SELECT will return duplicated rows My logic I want return all rows but with any row duplicated value my business logic require

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How To Select TOP Records In Postgres Not A Similar Question

https://stackoverflow.com › questions
I have a table with three columns City Orderid Total quantity and more than 500 rows I want to fetch the top 50 records according to total quantity wise I can do this with

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PostgreSQL Equivalent For TOP N WITH TIES LIMIT quot with Ties quot

https://stackoverflow.com › questions
SELECT TOP n WITH TIES FROM tablename I know about LIMIT in PostgreSQL but does the equivalent of the above exist I m just curious as it would save an extra query each time for me If


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