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A Deep Dive in How Slow SELECT * is

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Indhold leveret af Hussein Nasser. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af Hussein Nasser eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.player.fm/legal.

Fundamentals of Database Engineering udemy course (link redirects to udemy with coupon) https://database.husseinnasser.com In a row-store database engine, rows are stored in units called pages. Each page has a fixed header and contains multiple rows, with each row having a record header followed by its respective columns. When the database fetches a page and places it in the shared buffer pool, we gain access to all rows and columns within that page. So, the question arises: if we have all the columns readily available in memory, why would SELECT * be slow and costly? Is it really as slow as people claim it to be? And if so why is it so? In this post, we will explore these questions and more. 0:00 Intro 1:49 Database Page Layout 5:00 How SELECT Works 10:49 No Index-Only Scans 18:00 Deserialization Cost 21:00 Not All Columns are Inline 28:00 Network Cost 36:00 Client Deserialization https://medium.com/@hnasr/how-slow-is-select-8d4308ca1f0c

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526 episoder

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Manage episode 362190891 series 1954062
Indhold leveret af Hussein Nasser. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af Hussein Nasser eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.player.fm/legal.

Fundamentals of Database Engineering udemy course (link redirects to udemy with coupon) https://database.husseinnasser.com In a row-store database engine, rows are stored in units called pages. Each page has a fixed header and contains multiple rows, with each row having a record header followed by its respective columns. When the database fetches a page and places it in the shared buffer pool, we gain access to all rows and columns within that page. So, the question arises: if we have all the columns readily available in memory, why would SELECT * be slow and costly? Is it really as slow as people claim it to be? And if so why is it so? In this post, we will explore these questions and more. 0:00 Intro 1:49 Database Page Layout 5:00 How SELECT Works 10:49 No Index-Only Scans 18:00 Deserialization Cost 21:00 Not All Columns are Inline 28:00 Network Cost 36:00 Client Deserialization https://medium.com/@hnasr/how-slow-is-select-8d4308ca1f0c

  continue reading

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