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* split up select.md * array-join.md basic refactoring * distinct.md basic refactoring * format.md basic refactoring * from.md basic refactoring * group-by.md basic refactoring * having.md basic refactoring * additional index.md refactoring * into-outfile.md basic refactoring * join.md basic refactoring * limit.md basic refactoring * limit-by.md basic refactoring * order-by.md basic refactoring * prewhere.md basic refactoring * adjust operators/index.md links * adjust sample.md links * adjust more links * adjust operatots links * fix some links * adjust aggregate function article titles * basic refactor of remaining select clauses * absolute paths in make_links.sh * run make_links.sh * remove old select.md locations * translate docs/es * translate docs/fr * translate docs/fa * remove old operators.md location * change operators.md links * adjust links in docs/es * adjust links in docs/es * minor texts adjustments * wip * update machine translations to use new links * fix changelog * es build fixes * get rid of some select.md links * temporary adjust ru links * temporary adjust more ru links * improve curly brace handling * adjust ru as well * fa build fix * ru link fixes * zh link fixes * temporary disable part of anchor checks
497 lines
11 KiB
Markdown
497 lines
11 KiB
Markdown
---
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machine_translated: true
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machine_translated_rev: 72537a2d527c63c07aa5d2361a8829f3895cf2bd
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toc_priority: 49
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toc_title: Bitmap
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---
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# Fonctions De Bitmap {#bitmap-functions}
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Les fonctions Bitmap fonctionnent pour le calcul de la valeur de L'objet de deux bitmaps, il s'agit de renvoyer un nouveau bitmap ou une cardinalité tout en utilisant le calcul de la formule, tel que and, or, xor, and not, etc.
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Il existe 2 types de méthodes de construction pour L'objet Bitmap. L'un doit être construit par la fonction d'agrégation groupBitmap avec-State, l'autre doit être construit par L'objet Array. Il est également de convertir L'objet Bitmap en objet tableau.
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RoaringBitmap est enveloppé dans une structure de données pendant le stockage réel des objets Bitmap. Lorsque la cardinalité est inférieure ou égale à 32, elle utilise Set objet. Lorsque la cardinalité est supérieure à 32, elle utilise l'objet RoaringBitmap. C'est pourquoi le stockage de faible cardinalité jeu est plus rapide.
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Pour plus d'informations sur RoaringBitmap, voir: [CRoaring](https://github.com/RoaringBitmap/CRoaring).
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## bitmapBuild {#bitmap_functions-bitmapbuild}
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Construire un bitmap à partir d'un tableau entier non signé.
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``` sql
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bitmapBuild(array)
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```
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**Paramètre**
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- `array` – unsigned integer array.
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**Exemple**
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``` sql
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SELECT bitmapBuild([1, 2, 3, 4, 5]) AS res, toTypeName(res)
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```
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``` text
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┌─res─┬─toTypeName(bitmapBuild([1, 2, 3, 4, 5]))─────┐
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│ │ AggregateFunction(groupBitmap, UInt8) │
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└─────┴──────────────────────────────────────────────┘
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```
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## bitmapToArray {#bitmaptoarray}
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Convertir bitmap en tableau entier.
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``` sql
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bitmapToArray(bitmap)
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```
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**Paramètre**
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- `bitmap` – bitmap object.
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**Exemple**
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``` sql
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SELECT bitmapToArray(bitmapBuild([1, 2, 3, 4, 5])) AS res
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```
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``` text
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┌─res─────────┐
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│ [1,2,3,4,5] │
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└─────────────┘
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```
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## bitmapSubsetInRange {#bitmap-functions-bitmapsubsetinrange}
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Retourne le sous-ensemble dans la plage spécifiée (n'inclut pas le range\_end).
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``` sql
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bitmapSubsetInRange(bitmap, range_start, range_end)
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```
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**Paramètre**
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- `bitmap` – [Objet Bitmap](#bitmap_functions-bitmapbuild).
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- `range_start` – range start point. Type: [UInt32](../../sql-reference/data-types/int-uint.md).
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- `range_end` – range end point(excluded). Type: [UInt32](../../sql-reference/data-types/int-uint.md).
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**Exemple**
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``` sql
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SELECT bitmapToArray(bitmapSubsetInRange(bitmapBuild([0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,100,200,500]), toUInt32(30), toUInt32(200))) AS res
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```
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``` text
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┌─res───────────────┐
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│ [30,31,32,33,100] │
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└───────────────────┘
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```
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## bitmapSubsetLimit {#bitmapsubsetlimit}
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Crée un sous-ensemble de bitmap avec n éléments pris entre `range_start` et `cardinality_limit`.
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**Syntaxe**
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``` sql
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bitmapSubsetLimit(bitmap, range_start, cardinality_limit)
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```
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**Paramètre**
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- `bitmap` – [Objet Bitmap](#bitmap_functions-bitmapbuild).
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- `range_start` – The subset starting point. Type: [UInt32](../../sql-reference/data-types/int-uint.md).
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- `cardinality_limit` – The subset cardinality upper limit. Type: [UInt32](../../sql-reference/data-types/int-uint.md).
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**Valeur renvoyée**
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Ensemble.
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Type: `Bitmap object`.
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**Exemple**
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Requête:
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``` sql
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SELECT bitmapToArray(bitmapSubsetLimit(bitmapBuild([0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,100,200,500]), toUInt32(30), toUInt32(200))) AS res
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```
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Résultat:
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``` text
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┌─res───────────────────────┐
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│ [30,31,32,33,100,200,500] │
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└───────────────────────────┘
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```
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## bitmapContains {#bitmap_functions-bitmapcontains}
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Vérifie si le bitmap contient un élément.
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``` sql
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bitmapContains(haystack, needle)
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```
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**Paramètre**
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- `haystack` – [Objet Bitmap](#bitmap_functions-bitmapbuild) où la fonction recherche.
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- `needle` – Value that the function searches. Type: [UInt32](../../sql-reference/data-types/int-uint.md).
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**Valeurs renvoyées**
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- 0 — If `haystack` ne contient pas de `needle`.
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- 1 — If `haystack` contenir `needle`.
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Type: `UInt8`.
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**Exemple**
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``` sql
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SELECT bitmapContains(bitmapBuild([1,5,7,9]), toUInt32(9)) AS res
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```
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``` text
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┌─res─┐
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│ 1 │
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└─────┘
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```
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## bitmapHasAny {#bitmaphasany}
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Vérifie si deux bitmaps ont une intersection par certains éléments.
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``` sql
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bitmapHasAny(bitmap1, bitmap2)
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```
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Si vous êtes sûr que `bitmap2` contient strictement un élément, envisagez d'utiliser le [bitmapContains](#bitmap_functions-bitmapcontains) fonction. Cela fonctionne plus efficacement.
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**Paramètre**
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- `bitmap*` – bitmap object.
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**Les valeurs de retour**
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- `1`, si `bitmap1` et `bitmap2` avoir un élément similaire au moins.
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- `0`, autrement.
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**Exemple**
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``` sql
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SELECT bitmapHasAny(bitmapBuild([1,2,3]),bitmapBuild([3,4,5])) AS res
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```
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``` text
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┌─res─┐
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│ 1 │
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└─────┘
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```
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## bitmapHasAll {#bitmaphasall}
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Analogue à `hasAll(array, array)` renvoie 1 si le premier bitmap contient tous les éléments du second, 0 sinon.
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Si le deuxième argument est un bitmap vide, alors renvoie 1.
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``` sql
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bitmapHasAll(bitmap,bitmap)
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```
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**Paramètre**
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- `bitmap` – bitmap object.
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**Exemple**
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``` sql
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SELECT bitmapHasAll(bitmapBuild([1,2,3]),bitmapBuild([3,4,5])) AS res
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```
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``` text
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┌─res─┐
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│ 0 │
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└─────┘
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```
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## bitmapCardinality {#bitmapcardinality}
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Retrun bitmap cardinalité de type UInt64.
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``` sql
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bitmapCardinality(bitmap)
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```
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**Paramètre**
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- `bitmap` – bitmap object.
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**Exemple**
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``` sql
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SELECT bitmapCardinality(bitmapBuild([1, 2, 3, 4, 5])) AS res
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```
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``` text
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┌─res─┐
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│ 5 │
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└─────┘
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```
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## bitmapMin {#bitmapmin}
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Retrun la plus petite valeur de type UInt64 dans l'ensemble, UINT32\_MAX si l'ensemble est vide.
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bitmapMin(bitmap)
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**Paramètre**
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- `bitmap` – bitmap object.
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**Exemple**
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``` sql
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SELECT bitmapMin(bitmapBuild([1, 2, 3, 4, 5])) AS res
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```
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┌─res─┐
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│ 1 │
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└─────┘
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## bitmapMax {#bitmapmax}
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Retrun la plus grande valeur de type UInt64 dans l'ensemble, 0 si l'ensemble est vide.
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bitmapMax(bitmap)
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**Paramètre**
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- `bitmap` – bitmap object.
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**Exemple**
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``` sql
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SELECT bitmapMax(bitmapBuild([1, 2, 3, 4, 5])) AS res
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```
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┌─res─┐
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│ 5 │
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└─────┘
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## bitmapTransform {#bitmaptransform}
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Transformer un tableau de valeurs d'une image à l'autre tableau de valeurs, le résultat est une nouvelle image.
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bitmapTransform(bitmap, from_array, to_array)
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**Paramètre**
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- `bitmap` – bitmap object.
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- `from_array` – UInt32 array. For idx in range \[0, from\_array.size()), if bitmap contains from\_array\[idx\], then replace it with to\_array\[idx\]. Note that the result depends on array ordering if there are common elements between from\_array and to\_array.
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- `to_array` – UInt32 array, its size shall be the same to from\_array.
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**Exemple**
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``` sql
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SELECT bitmapToArray(bitmapTransform(bitmapBuild([1, 2, 3, 4, 5, 6, 7, 8, 9, 10]), cast([5,999,2] as Array(UInt32)), cast([2,888,20] as Array(UInt32)))) AS res
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```
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┌─res───────────────────┐
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│ [1,3,4,6,7,8,9,10,20] │
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└───────────────────────┘
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## bitmapAnd {#bitmapand}
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Deux bitmap et calcul, le résultat est un nouveau bitmap.
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``` sql
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bitmapAnd(bitmap,bitmap)
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```
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**Paramètre**
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- `bitmap` – bitmap object.
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**Exemple**
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``` sql
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SELECT bitmapToArray(bitmapAnd(bitmapBuild([1,2,3]),bitmapBuild([3,4,5]))) AS res
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```
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``` text
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┌─res─┐
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│ [3] │
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└─────┘
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```
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## bitmapOr {#bitmapor}
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Deux bitmap ou calcul, le résultat est un nouveau bitmap.
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``` sql
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bitmapOr(bitmap,bitmap)
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```
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**Paramètre**
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- `bitmap` – bitmap object.
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**Exemple**
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``` sql
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SELECT bitmapToArray(bitmapOr(bitmapBuild([1,2,3]),bitmapBuild([3,4,5]))) AS res
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```
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``` text
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┌─res─────────┐
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│ [1,2,3,4,5] │
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└─────────────┘
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```
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## bitmapXor {#bitmapxor}
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Deux bitmap xor calcul, le résultat est une nouvelle image.
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``` sql
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bitmapXor(bitmap,bitmap)
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```
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**Paramètre**
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- `bitmap` – bitmap object.
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**Exemple**
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``` sql
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SELECT bitmapToArray(bitmapXor(bitmapBuild([1,2,3]),bitmapBuild([3,4,5]))) AS res
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```
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``` text
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┌─res───────┐
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│ [1,2,4,5] │
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└───────────┘
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```
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## bitmapetnot {#bitmapandnot}
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Deux Bitmap andnot calcul, le résultat est un nouveau bitmap.
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``` sql
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bitmapAndnot(bitmap,bitmap)
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```
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**Paramètre**
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- `bitmap` – bitmap object.
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**Exemple**
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``` sql
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SELECT bitmapToArray(bitmapAndnot(bitmapBuild([1,2,3]),bitmapBuild([3,4,5]))) AS res
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```
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``` text
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┌─res───┐
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│ [1,2] │
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└───────┘
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```
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## bitmapetcardinalité {#bitmapandcardinality}
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Deux bitmap et calcul, retour cardinalité de type UInt64.
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``` sql
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bitmapAndCardinality(bitmap,bitmap)
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```
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**Paramètre**
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- `bitmap` – bitmap object.
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**Exemple**
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``` sql
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SELECT bitmapAndCardinality(bitmapBuild([1,2,3]),bitmapBuild([3,4,5])) AS res;
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```
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``` text
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┌─res─┐
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│ 1 │
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└─────┘
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```
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## bitmapOrCardinality {#bitmaporcardinality}
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Deux bitmap ou calcul, retour cardinalité de type UInt64.
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``` sql
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bitmapOrCardinality(bitmap,bitmap)
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```
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**Paramètre**
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- `bitmap` – bitmap object.
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**Exemple**
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``` sql
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SELECT bitmapOrCardinality(bitmapBuild([1,2,3]),bitmapBuild([3,4,5])) AS res;
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```
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``` text
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┌─res─┐
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│ 5 │
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└─────┘
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```
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## bitmapXorCardinality {#bitmapxorcardinality}
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Deux bitmap XOR calcul, retour cardinalité de type UInt64.
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``` sql
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bitmapXorCardinality(bitmap,bitmap)
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```
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**Paramètre**
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- `bitmap` – bitmap object.
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**Exemple**
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``` sql
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SELECT bitmapXorCardinality(bitmapBuild([1,2,3]),bitmapBuild([3,4,5])) AS res;
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```
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``` text
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┌─res─┐
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│ 4 │
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└─────┘
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```
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## bitmapetnotcardinality {#bitmapandnotcardinality}
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Deux bitmap andnot calcul, retour cardinalité de type UInt64.
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``` sql
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bitmapAndnotCardinality(bitmap,bitmap)
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```
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**Paramètre**
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- `bitmap` – bitmap object.
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**Exemple**
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``` sql
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SELECT bitmapAndnotCardinality(bitmapBuild([1,2,3]),bitmapBuild([3,4,5])) AS res;
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```
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``` text
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┌─res─┐
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│ 2 │
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└─────┘
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```
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[Article Original](https://clickhouse.tech/docs/en/query_language/functions/bitmap_functions/) <!--hide-->
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