sql-performance-explained | Talk about Markus Winand book on SQL performance | SQL Database library

 by   juanignaciosl HTML Version: Current License: No License

kandi X-RAY | sql-performance-explained Summary

kandi X-RAY | sql-performance-explained Summary

sql-performance-explained is a HTML library typically used in Database, SQL Database applications. sql-performance-explained has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

Talk about Markus Winand book on SQL performance
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              sql-performance-explained has a low active ecosystem.
              It has 11 star(s) with 1 fork(s). There are 2 watchers for this library.
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              It had no major release in the last 6 months.
              sql-performance-explained has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of sql-performance-explained is current.

            kandi-Quality Quality

              sql-performance-explained has no bugs reported.

            kandi-Security Security

              sql-performance-explained has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              sql-performance-explained does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
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              Without a license, all rights are reserved, and you cannot use the library in your applications.

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              sql-performance-explained releases are not available. You will need to build from source code and install.

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            sql-performance-explained Key Features

            No Key Features are available at this moment for sql-performance-explained.

            sql-performance-explained Examples and Code Snippets

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            Community Discussions

            Trending Discussions on sql-performance-explained

            QUESTION

            Smart logic queries performance inside functions for PostgreSQL
            Asked 2017-May-05 at 15:00

            Consider the following sql query:

            ...

            ANSWER

            Answered 2017-May-05 at 15:00

            1. It depends.

            When not using prepared statements, PostgreSQL plans a query every time anew, using parameters values. It is known as custom plan.

            With prepared statements (and you're right, PL/pgSQL functions do use prepared statements) it's more complicated. PostgreSQL prepares the statement (parses its text and stores parse tree), but re-plans it each time it is executed. Custom plans are generated at least 5 times. After that the planner considers using a generic plan (i. e. parameter-value-independent) if it's cost is less than the average cost of custom plans generated so far.

            Note, that cost of a plan is an estimation of the planner, not real I/O operations or CPU cycles.

            So, the problem can occur, but you need some bad luck for that.

            2. The approach you suggested will not work, because it doesn't change behavior of the function.

            In general it is not so ugly for PostgreSQL not to use parameters (as it is for e. g. Oracle), because PostgreSQL doesn't have shared cache for plans. Prepared plans are stored in each backend's memory, so re-planning will not affect other sessions.

            But as far as I know, currently there is no way to force planner to use custom plans (other than reconnect after 5 executions...).

            Source https://stackoverflow.com/questions/43802600

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install sql-performance-explained

            You can download it from GitHub.

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            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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