SQL GROUP BY Klauzule
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Questions and Answers

Mes negalime naudoti agregatinių funkcijų, tokių kaip ______, su WHERE sąlyga.

SUM()

Jei norime naudoti agregatines funkcijas sąlygose, turime naudoti ______ sąlygą.

HAVING

SQL grupavimo funkcija naudojama vienodų duomenų į ______ sutvarkymui.

grupes

HAVING sąlyga filtruoja ______ rezultatus.

<p>agreguotus</p> Signup and view all the answers

SQL grupavimo komanda yra lanksti ir gali būti naudojama keliems ______ atsižvelgiant į duomenų gavimo reikalavimus.

<p>stulpeliams</p> Signup and view all the answers

SQL užklausoje GROUP BY teiginys yra būtinas tam, kad duomenys būtų organizuojami į ______ pagal identiškas vertes.

<p>grupes</p> Signup and view all the answers

Naudojant GROUP BY, vartotojai gali taikyti agregatines funkcijas, tokias kaip SUM, COUNT, AVG ir ______ kiekvienai grupei.

<p>MIN/MAX</p> Signup and view all the answers

GROUP BY vienam stulpeliui reiškia, kad visi eilučių su tuo pačiu stulpelio ______ yra sudedami į vieną grupę.

<p>verčių</p> Signup and view all the answers

Kai naudojame GROUP BY keliems stulpeliams, pavyzdžiui, GROUP BY ______, visi eilučių su tomis pačiomis vertėmis yra sudedami į vieną grupę.

<p>column1, column2</p> Signup and view all the answers

Havinigas (HAVING) teiginys yra skirtas nustatyti sąlygas grupėms, tuo tarpu WHERE teiginys yra naudojamas ______ stulpeliams.

<p>stulpelių</p> Signup and view all the answers

Kolekcijos su ______ MOKSLŲ yra pavyzdys, kai grupėse gali būti skirtingi objektai, turintys tą pačią vertę.

<p>subjektais</p> Signup and view all the answers

Kiekviena grupė su identiškų ______ vertėmis bus apdorota naudojant SUM() funkciją.

<p>vardais</p> Signup and view all the answers

Jei konkretus stulpelis turi tuos pačius ______ skirtingose eilutėse, tada šios eilutės bus sugrupuotos.

<p>duomenis</p> Signup and view all the answers

Study Notes

SQL GROUP BY Clause

  • The GROUP BY clause in SQL organizes data into groups based on identical values in specified columns.
  • It allows for applying aggregate functions (SUM, COUNT, AVG, MIN, MAX) to each group for detailed analysis.

GROUP BY Syntax and Examples

  • GROUP BY clause groups rows with identical values in the specified column(s).
  • Single Column: Groups rows with the same values in a single column. Example: Grouping employees by name and calculating the total salary for each name.
  • Multiple Columns: Groups rows with the same values in multiple columns. Example: Grouping students by subject and year to analyze performance.
  • The SUM() function is commonly used to calculate aggregate values within each group (e.g., total salary by name).

HAVING Clause

  • The HAVING clause allows for filtering groups based on conditions applied to aggregate values.
  • It's used to filter the results of GROUP BY queries, not individual rows.
  • Cannot be used with aggregate functions in the WHERE clause; use HAVING instead.
  • Example: Filtering employee groups based on total salary to include only groups with a total salary greater than a certain amount. E.g., removing names with total salary below 50,000.

Summary

  • GROUP BY and HAVING clauses are essential SQL tools for summarizing and filtering grouped data sets.
  • GROUP BY organizes data, HAVING filters based on aggregate results. The GROUP BY clause provides a powerful way to analyze data in groups, handling both single and multiple column grouping based on the needs of the query.

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Description

Sužinokite apie SQL GROUP BY klauzulę, kuri organizuoja duomenis į grupes pagal identiškas reikšmes nurodytuose stulpeliuose. Sužinokite, kaip taikyti agregatines funkcijas ir naudoti HAVING klauzulę, kad filtruotumėte grupes pagal agreguotus duomenis.

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