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Snowflake\u003C/h2\u003E\n","\u003Ch3\u003EPrésentation\u003C/h3\u003E\n","\u003Cp\u003EBienvenue dans le guide Quickstart Powered by Tasty Bytes Débuter avec Snowflake sur la transformation !\u003C/p\u003E\n","\u003Cp\u003ECe guide présente un large éventail de fonctionnalités Snowflake clés (clonage zéro copie et Time Travel, par exemple) qui permettent de répondre aux besoins de Tasty Bytes.\u003C/p\u003E\n","\u003Ch3\u003EConditions préalables\u003C/h3\u003E\n\u003Cul\u003E\u003Cli\u003EAvant de commencer, assurez-vous de suivre l’intégralité du guide Quickstart \u003Ca href=\"/fr/developers/guides/tasty-bytes-introduction-fr/\"\u003E\u003Cstrong\u003EPrésentation de Tasty Bytes\u003C/strong\u003E\u003C/a\u003E, qui explique comment configurer un compte d’essai et déployer les éléments de base de Tasty Bytes requis pour suivre ce guide Quickstart.\u003C/li\u003E\u003C/ul\u003E\n","\u003Ch3\u003EVous allez apprendre :\u003C/h3\u003E\n\u003Cul\u003E\u003Cli\u003EComment cloner une table\u003C/li\u003E\u003Cli\u003EComment utiliser le cache de jeux de résultats de Snowflake\u003C/li\u003E\u003Cli\u003EComment ajouter une colonne à une table\u003C/li\u003E\u003Cli\u003EComment mettre à jour les données d’une colonne\u003C/li\u003E\u003Cli\u003EComment utiliser la fonctionnalité Time Travel\u003C/li\u003E\u003Cli\u003EComment échanger, supprimer et restaurer une table\u003C/li\u003E\u003C/ul\u003E\n","\u003Ch3\u003EVous allez :\u003C/h3\u003E\n\u003Cul\u003E\u003Cli\u003EDécouvrir la principale fonctionnalité de transformation Snowflake\u003C/li\u003E\u003Cli\u003ECréer le clone d’une table de production pour créer une table de développement\u003C/li\u003E\u003Cli\u003EAjouter une colonne à une table renseignant l’âge calculé, en années, des food trucks\u003C/li\u003E\u003C/ul\u003E\n","\u003Ch2\u003ECréer une feuille de calcul et la copier dans un fichier SQL\u003C/h2\u003E\n","\u003Ch3\u003EPrésentation\u003C/h3\u003E\n","\u003Cp\u003EDans ce guide Quickstart, vous allez suivre une histoire de Tasty Bytes via une feuille de calcul SQL Snowsight. Cette page, qui fait office de guide étape par étape, comprend également des commentaires, des images et des liens vers de la documentation.\u003C/p\u003E\n","\u003Cp\u003ECette section vous explique comment vous connecter à Snowflake, comment créer une nouvelle feuille de calcul et la renommer, mais aussi comment copier le fichier SQL que nous allons utiliser dans ce guide Quickstart depuis GitHub et le coller.\u003C/p\u003E\n","\u003Ch3\u003EÉtape 1 – Accéder à Snowflake via une URL\u003C/h3\u003E\n\u003Cul\u003E\u003Cli\u003EOuvrez une fenêtre de votre navigateur et saisissez l’URL de votre compte Snowflake.\u003C/li\u003E\u003C/ul\u003E\n","\u003Ch3\u003EÉtape 2 – Se connecter à Snowflake\u003C/h3\u003E\n\u003Cul\u003E\u003Cli\u003EConnectez-vous à votre compte Snowflake.\n\u003Cul\u003E\u003Cli\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/tasty-bytes-zero-to-snowflake-transformation-fr/log_into_snowflake.gif\" alt=\"assets/log_into_snowflake.gif\"\u003E\u003C/li\u003E\u003C/ul\u003E\n\u003C/li\u003E\u003C/ul\u003E\n","\u003Ch3\u003EÉtape 3 – Accéder aux feuilles de calcul\u003C/h3\u003E\n\u003Cul\u003E\u003Cli\u003ECliquez sur l’onglet Worksheets (Feuilles de calcul) dans la barre de navigation de gauche.\n\u003Cul\u003E\u003Cli\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/tasty-bytes-zero-to-snowflake-transformation-fr/worksheet_tab.png\" alt=\"assets/worksheet_tab.png\"\u003E\u003C/li\u003E\u003C/ul\u003E\n\u003C/li\u003E\u003C/ul\u003E\n","\u003Ch3\u003EÉtape 4 – Créer une feuille de calcul\u003C/h3\u003E\n\u003Cul\u003E\u003Cli\u003ESous l’onglet Worksheets (Feuilles de calcul), cliquez sur le bouton « + » dans le coin supérieur droit de Snowsight, puis sélectionnez « SQL Worksheet » (Feuille de calcul SQL).\n\u003Cul\u003E\u003Cli\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/tasty-bytes-zero-to-snowflake-transformation-fr/+_sqlworksheet.png\" alt=\"assets/+_sqlworksheet.png\"\u003E\u003C/li\u003E\u003C/ul\u003E\n\u003C/li\u003E\u003C/ul\u003E\n","\u003Ch3\u003EÉtape 5 – Renommer une feuille de calcul\u003C/h3\u003E\n\u003Cul\u003E\u003Cli\u003ERenommez la feuille de calcul en cliquant sur le nom généré automatiquement (horodatage), puis en saisissant "Tasty Bytes – Transformation".\n\u003Cul\u003E\u003Cli\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/tasty-bytes-zero-to-snowflake-transformation-fr/rename_worksheet_tasty_bytes_setup.gif\" alt=\"assets/rename_worksheet_tasty_bytes_setup.gif\"\u003E\u003C/li\u003E\u003C/ul\u003E\n\u003C/li\u003E\u003C/ul\u003E\n","\u003Ch3\u003EÉtape 6 – Accéder au fichier SQL de ce guide Quickstart dans GitHub\u003C/h3\u003E\n\u003Cul\u003E\u003Cli\u003ECliquez sur le bouton ci-dessous pour être redirigé vers notre fichier SQL Tasty Bytes hébergé sur GitHub. <button>\u003Ca href=\"https://github.com/Snowflake-Labs/sf-samples/blob/main/samples/tasty_bytes/tb_zts_transformation.sql\"\u003Etb_zts_transformation\u003C/a\u003E</button>\u003C/li\u003E\u003C/ul\u003E\n","\u003Ch3\u003EÉtape 7 – Copier le fichier de configuration SQL depuis GitHub\u003C/h3\u003E\n\u003Cul\u003E\u003Cli\u003EDans GitHub, à droite, cliquez sur « Copy raw contents » (Copier le contenu brut). L’ensemble du fichier SQL requis est copié dans votre presse-papiers.\n\u003Cul\u003E\u003Cli\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/tasty-bytes-zero-to-snowflake-transformation-fr/github_copy_raw_contents.png\" alt=\"assets/github_copy_raw_contents.png\"\u003E\u003C/li\u003E\u003C/ul\u003E\n\u003C/li\u003E\u003C/ul\u003E\n","\u003Ch3\u003EÉtape 8 – Coller le fichier de configuration SQL depuis GitHub dans une feuille de calcul Snowflake\u003C/h3\u003E\n\u003Cul\u003E\u003Cli\u003ERevenez dans Snowsight et dans votre nouvelle feuille de calcul, puis collez (\u003Cem\u003ECMD + V pour Mac ou CTRL + V pour Windows\u003C/em\u003E) ce que vous venez de copier dans GitHub.\u003C/li\u003E\u003C/ul\u003E\n","\u003Ch3\u003EÉtape 9 – Cliquer sur Next (Suivant) -->\u003C/h3\u003E\n","\u003Ch2\u003ECloner instantanément une table de production pour créer une table de développement\u003C/h2\u003E\n","\u003Ch3\u003EPrésentation\u003C/h3\u003E\n","\u003Cp\u003EDans le cadre de l’analyse de la flotte de camionnettes de Tasty Bytes, il vous a été demandé, en tant que développeur, d’ajouter une colonne Âge calculé des camionnettes dans notre table Camionnette.\u003C/p\u003E\n","\u003Cp\u003EExperts en la matière, nous savons que nous ne pouvons pas développer une table de production. Nous devons donc commencer par créer un environnement de développement semblable à un environnement de production.\u003C/p\u003E\n","\u003Ch3\u003EÉtape 1 – Créer le clone d’une table de production\u003C/h3\u003E\n","\u003Cp\u003EGrâce à l’architecture unique de Snowflake, nous pouvons créer un instantané de notre table de production \u003Ccode\u003Eraw_pos.truck\u003C/code\u003E à l’aide de la fonctionnalité \u003Ca href=\"https://docs.snowflake.com/fr/sql-reference/sql/create-clone\"\u003ECLONE\u003C/a\u003E et le nommer \u003Ccode\u003Eraw_pos.truck_dev\u003C/code\u003E.\u003C/p\u003E\n","\u003Cp\u003EExécutons notre prochain ensemble de requêtes pour définir notre contexte de rôle \u003Ccode\u003Etasty_dev\u003C/code\u003E et créer le clone de la table. Notons que nous n’avons pas besoin de définir de contexte d’entrepôt, car le clonage n’en nécessite aucun.\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode\u003EUSE ROLE tasty_dev;\n\nCREATE OR REPLACE TABLE frostbyte_tasty_bytes.raw_pos.truck_dev \n    CLONE frostbyte_tasty_bytes.raw_pos.truck; \n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/tasty-bytes-zero-to-snowflake-transformation-fr/3.1.truck_dev_clone.png\" alt=\"assets/3.1.truck_dev_clone.png\"\u003E\u003C/p\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003E\u003Cstrong\u003EClonage zéro copie\u003C/strong\u003E : permet de créer une copie d’une base de données, d’un schéma ou d’une table. Un instantané des données figurant dans l’objet source est créé au moment de la création du clone, puis est mis à la disposition de l’objet cloné. L’objet cloné est accessible en écriture et est indépendant de la source du clone. Autrement dit, aucune modification apportée à l’objet source n’est reproduite sur le clone, et vice-versa.\u003C/p\u003E\n\u003C/blockquote\u003E\n","\u003Ch3\u003EÉtape 2 – Cliquer sur Next (Suivant) -->\u003C/h3\u003E\n","\u003Ch2\u003ETester le cache de jeux de résultats des requêtes de Snowflake\u003C/h2\u003E\n","\u003Ch3\u003EPrésentation\u003C/h3\u003E\n","\u003Cp\u003ENotre clone zéro copie étant disponible instantanément, nous pouvons commencer à le développer sans craindre d’affecter la table de production. Toutefois, avant d’y apporter des modifications, interrogeons-le en exécutant des requêtes simples pour tester le cache de jeux de résultats de Snowflake.\u003C/p\u003E\n","\u003Ch3\u003EÉtape 1 – Interroger la table clonée\u003C/h3\u003E\n","\u003Cp\u003EPour interroger la table, nous allons devoir utiliser l’entrepôt \u003Ccode\u003Etasty_dev_wh\u003C/code\u003E.\u003C/p\u003E\n","\u003Cp\u003EExécutons les deux requêtes suivantes avec la deuxième instruction pour produire un jeu de résultats composé de nos camionnettes, ainsi que de leurs âge, marque et modèle, tout en nous assurant de trier notre colonne \u003Ccode\u003Etruck_id\u003C/code\u003E avec la requête \u003Ca href=\"https://docs.snowflake.com/fr/sql-reference/constructs/order-by\"\u003EORDER BY\u003C/a\u003E.\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode\u003EUSE WAREHOUSE tasty_dev_wh;\n\nSELECT \n    t.truck_id, \n    t.year, \n    t.make, \n    t.model \nFROM frostbyte_tasty_bytes.raw_pos.truck_dev t \nORDER BY t.truck_id; \n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/tasty-bytes-zero-to-snowflake-transformation-fr/4.1.truck.png\" alt=\"assets/4.1.truck.png\"\u003E\u003C/p\u003E\n","\u003Ch3\u003EÉtape 2 – Exécuter de nouveau la requête\u003C/h3\u003E\n","\u003Cp\u003EPour tester le \u003Ca href=\"https://docs.snowflake.com/fr/user-guide/querying-persisted-results\"\u003Ecache de jeux de résultats\u003C/a\u003E Snowflake, nous allons exécuter la même requête que la précédente. Nous allons aller plus loin et accéder au profil de requête, qui montre les résultats renvoyés instantanément par cette requête, ces derniers provenant de notre cache de jeux de résultats.\u003C/p\u003E\n","\u003Cp\u003EAprès avoir exécuté la requête ci-dessous, suivez les étapes indiquées sur la capture d’écran pour accéder au \u003Ca href=\"https://docs.snowflake.com/fr/user-guide/ui-query-profile\"\u003Eprofil de requête\u003C/a\u003E. Dans le profil de requête, un seul nœud nommé \u003Ccode\u003EQUERY RESULT REUSE\u003C/code\u003E apparaît.\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode\u003ESELECT\n    t.truck_id,\n    t.year,\n    t.make,\n    t.model\nFROM frostbyte_tasty_bytes.raw_pos.truck_dev t\nORDER BY t.truck_id;\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/tasty-bytes-zero-to-snowflake-transformation-fr/4.2.1.truck.png\" alt=\"assets/4.2.1.truck.png\"\u003E \u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/tasty-bytes-zero-to-snowflake-transformation-fr/4.2.2.cache.png\" alt=\"assets/4.2.2.cache.png\"\u003E\u003C/p\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003Easide positive Si un utilisateur répète une requête qui a déjà été exécutée et que les données de la ou des tables n’ont pas changé depuis la dernière fois que la requête a été exécutée, alors le résultat de la requête sera le même. Au lieu d’exécuter à nouveau la requête, Snowflake peut simplement renvoyer le même résultat que précédemment.\u003C/p\u003E\n","\u003Cp\u003ECette procédure permet de réduire considérablement le temps de requête, car Snowflake contourne l’exécution de la requête et, à la place, récupère le résultat directement dans le cache.\u003C/p\u003E\n\u003C/blockquote\u003E\n","\u003Ch3\u003EÉtape 3 – Cliquer sur Next (Suivant) -->\u003C/h3\u003E\n","\u003Ch2\u003EMettre à jour les données et calculer l’âge des food trucks\u003C/h2\u003E\n","\u003Ch3\u003EPrésentation\u003C/h3\u003E\n","\u003Cp\u003ELes résultats de la section ci-dessus montrent que nous devons tout d’abord corriger les fautes de frappe des enregistrements Ford_ figurant dans notre colonne \u003Ccode\u003Emake\u003C/code\u003E. Nous pourrons ensuite commencer notre calcul qui nous donnera l’âge de chaque camionnette.\u003C/p\u003E\n","\u003Ch3\u003EÉtape 1 – Mettre à jour les valeurs incorrectes d’une colonne\u003C/h3\u003E\n","\u003Cp\u003EPour commencer cette section, assurons-nous de corriger les fautes de frappe en exécutant la requête suivante, qui utilise l’instruction \u003Ca href=\"https://docs.snowflake.com/fr/sql-reference/sql/update\"\u003EUPDATE\u003C/a\u003E pour modifier les lignes de notre clause \u003Ccode\u003Etruck_dev\u003C/code\u003E \u003Ca href=\"https://docs.snowflake.com/fr/sql-reference/constructs/where\"\u003EWHERE\u003C/a\u003E make = ’Ford_’.\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode\u003EUPDATE frostbyte_tasty_bytes.raw_pos.truck_dev \nSET make = 'Ford' \nWHERE make = 'Ford_';\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/tasty-bytes-zero-to-snowflake-transformation-fr/5.1.ford_.png\" alt=\"assets/5.1.ford_.png\"\u003E\u003C/p\u003E\n","\u003Ch3\u003EÉtape 2 – Calculer l’âge\u003C/h3\u003E\n","\u003Cp\u003EUne fois les fautes de frappe corrigées, nous pouvons calculer l’âge, en années, des camionnettes de notre flotte. Exécutez la requête suivante, où les fonctions \u003Ca href=\"https://docs.snowflake.com/fr/sql-reference/functions/year\"\u003EYEAR\u003C/a\u003E et \u003Ca href=\"https://docs.snowflake.com/fr/sql-reference/functions/current_date\"\u003ECURRENT_DATE\u003C/a\u003E seront utilisées pour le calcul.\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode\u003ESELECT\n    t.truck_id,\n    t.year,\n    t.make,\n    t.model,\n    (YEAR(CURRENT_DATE()) - t.year) AS truck_age_year\nFROM frostbyte_tasty_bytes.raw_pos.truck_dev t;\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/tasty-bytes-zero-to-snowflake-transformation-fr/5.2.age.png\" alt=\"assets/5.2.age.png\"\u003E\u003C/p\u003E\n","\u003Ch3\u003EÉtape 3 – Cliquer sur Next (Suivant) -->\u003C/h3\u003E\n","\u003Ch2\u003EAjouter une colonne et la mettre à jour\u003C/h2\u003E\n","\u003Ch3\u003EPrésentation\u003C/h3\u003E\n","\u003Cp\u003EUne fois l’âge, en années, des camionnettes calculé et mis à jour, ajoutons une nouvelle colonne à notre table clonée en conséquence, puis mettons-la à jour avec les valeurs calculées.\u003C/p\u003E\n","\u003Ch3\u003EÉtape 1 – Ajouter une colonne à une table\u003C/h3\u003E\n","\u003Cp\u003EPour commencer, exécutez la requête suivante, qui utilise la clause \u003Ca href=\"https://docs.snowflake.com/fr/sql-reference/sql/alter-table-column\"\u003EALTER TABLE... ADD COLUMN\u003C/a\u003E pour créer une colonne \u003Ccode\u003Etruck_age\u003C/code\u003E vide de \u003Ca href=\"https://docs.snowflake.com/fr/sql-reference/data-types-numeric\"\u003Etype de données numériques\u003C/a\u003E dans notre table \u003Ccode\u003Etruck_dev\u003C/code\u003E.\u003C/p\u003E\n","\u003Cp\u003ECette requête va renvoyer un résultat \u003Ccode\u003EStatement executed successfully\u003C/code\u003E.\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode\u003EALTER TABLE frostbyte_tasty_bytes.raw_pos.truck_dev\n    ADD COLUMN truck_age NUMBER(4);\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Ch3\u003EÉtape 2 – Ajouter des valeurs calculées dans une colonne\u003C/h3\u003E\n","\u003Cp\u003EUne fois la colonne ajoutée, nous pouvons exécuter la requête \u003Ca href=\"https://docs.snowflake.com/fr/sql-reference/sql/update\"\u003EUPDATE\u003C/a\u003E, qui va mettre à jour la nouvelle colonne \u003Ccode\u003Etruck_age\u003C/code\u003E vide avec l’âge des camionnettes que nous avons calculé à la section précédente.\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode\u003EUPDATE frostbyte_tasty_bytes.raw_pos.truck_dev t\n    SET truck_age = (YEAR(CURRENT_DATE()) / t.year);\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/tasty-bytes-zero-to-snowflake-transformation-fr/6.2.update.png\" alt=\"assets/6.2.update.png\"\u003E\u003C/p\u003E\n","\u003Ch3\u003EÉtape 3 – Interroger la nouvelle colonne\u003C/h3\u003E\n","\u003Cp\u003EUne fois les données mises à jour, interrogeons la table en exécutant une requête rapide pour voir à quoi ressemble notre colonne \u003Ccode\u003Etruck_age\u003C/code\u003E.\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode\u003ESELECT\n    t.truck_id,\n    t.year,\n    t.truck_age\nFROM frostbyte_tasty_bytes.raw_pos.truck_dev t;\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/tasty-bytes-zero-to-snowflake-transformation-fr/6.3.bad_data.png\" alt=\"assets/6.3.bad_data.png\"\u003E\u003C/p\u003E\n","\u003Cp\u003E\u003Cstrong\u003EOups !\u003C/strong\u003E Heureusement, nous avons eu la finesse d’esprit de ne pas réaliser ce processus à l’aveugle dans la table de production.\u003C/p\u003E\n","\u003Cp\u003EIl semble que nous avons commis une erreur dans le calcul \u003Ccode\u003Etruck_age\u003C/code\u003E, en faisant une division au lieu d’une soustraction. Nous allons devoir corriger cela dans la section suivante.\u003C/p\u003E\n","\u003Ch3\u003EÉtape 4 – Cliquer sur Next (Suivant) -->\u003C/h3\u003E\n","\u003Ch2\u003EUtiliser la fonctionnalité Time Travel à des fins de récupération de données après sinistre\u003C/h2\u003E\n","\u003Ch3\u003EPrésentation\u003C/h3\u003E\n","\u003Cp\u003EMême si nous avons commis une erreur, Snowflake compte de nombreuses fonctionnalités pour y remédier. Le processus consiste à utiliser l’historique des requêtes, des variables SQL et Time Travel pour restaurer notre table \u003Ccode\u003Etruck_dev\u003C/code\u003E telle qu’elle était avant l’exécution de cette instruction de mise à jour incorrecte.\u003C/p\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003Easide positive La fonction Time Travel permet d’accéder à des données historiques (données qui ont été modifiées ou supprimées) à n’importe quel moment d’une période définie.\u003C/p\u003E\n\u003C/blockquote\u003E\n","\u003Ch3\u003EÉtape 1 – Exploiter l’historique des requêtes\u003C/h3\u003E\n","\u003Cp\u003EPour commencer notre processus de récupération, exécutons la requête suivante, qui utilisera la fonction \u003Ca href=\"https://docs.snowflake.com/fr/sql-reference/functions/query_history\"\u003EQUERY_HISTORY\u003C/a\u003E de Snowflake pour récupérer la liste de toutes les instructions de mise à jour que nous avons exécutées sur notre table \u003Ccode\u003Etruck_dev\u003C/code\u003E.\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode\u003ESELECT \n    query_id,\n    query_text,\n    user_name,\n    query_type,\n    start_time\nFROM TABLE(frostbyte_tasty_bytes.information_schema.query_history())\nWHERE 1=1\n    AND query_type = 'UPDATE'\n    AND query_text LIKE '%frostbyte_tasty_bytes.raw_pos.truck_dev%'\nORDER BY start_time DESC;\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/tasty-bytes-zero-to-snowflake-transformation-fr/7.1.query_history.png\" alt=\"assets/7.1.query_history.png\"\u003E\u003C/p\u003E\n","\u003Ch3\u003EÉtape 2 – Définir une variable SQL\u003C/h3\u003E\n","\u003Cp\u003EComme prévu, nous voyons que nos fautes de frappe ont été corrigées et que notre calcul incorrect et les instructions query_id qui y sont associées ont été mis à jour. Exécutez la requête suivante, qui créé une variable SQL \u003Ccode\u003Equery_id\u003C/code\u003E que nous utiliserons pour annuler nos modifications via la fonction Time Travel lors de l’étape suivante.\u003C/p\u003E\n","\u003Cp\u003ECette requête va renvoyer un résultat \u003Ccode\u003EStatement executed successfully\u003C/code\u003E.\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode\u003ESET query_id = \n(\n    SELECT TOP 1 query_id\n    FROM TABLE(frostbyte_tasty_bytes.information_schema.query_history())\n    WHERE 1=1\n        AND query_type = 'UPDATE'\n        AND query_text LIKE '%SET truck_age = (YEAR(CURRENT_DATE()) / t.year);'\n    ORDER BY start_time DESC\n);\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Ch3\u003EÉtape 3 – Utiliser la fonction Time Travel pour restaurer une table\u003C/h3\u003E\n","\u003Cp\u003EÉtant donné que notre instruction query_id incorrecte est stockée en tant que variable, nous pouvons exécuter la requête suivante, qui restaurera notre table \u003Ccode\u003Etruck_dev\u003C/code\u003E telle qu’elle était avant (clause \u003Ca href=\"https://docs.snowflake.com/fr/sql-reference/constructs/at-before\"\u003EBEFORE\u003C/a\u003E) l’exécution de l’instruction query_id incorrecte, et ce à l’aide de la fonction Time Travel.\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode\u003ECREATE OR REPLACE TABLE frostbyte_tasty_bytes.raw_pos.truck_dev \n    AS \nSELECT * FROM frostbyte_tasty_bytes.raw_pos.truck_dev \nBEFORE(STATEMENT => $query_id); \n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/tasty-bytes-zero-to-snowflake-transformation-fr/7.3.time_travel.png\" alt=\"assets/7.3.time_travel.png\"\u003E\u003C/p\u003E\n","\u003Cp\u003EPour connaître les autres options d’instruction Time Travel disponibles, consultez la liste ci-dessous.\u003C/p\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003Easide positive \u003Cstrong\u003EAT :\u003C/strong\u003E le mot clé AT spécifie que la requête inclut tous les changements apportés par une instruction ou une transaction dont l’horodatage est égal au paramètre spécifié.\u003C/p\u003E\n","\u003Cp\u003E\u003Cstrong\u003EBEFORE :\u003C/strong\u003E le mot clé BEFORE spécifie que la requête se réfère à un point précédant immédiatement le paramètre spécifié.\u003C/p\u003E\n","\u003Cp\u003E\u003Cstrong\u003ETIMESTAMP :\u003C/strong\u003E spécifie une date et une heure exactes à utiliser pour Time Travel.\u003C/p\u003E\n","\u003Cp\u003E\u003Cstrong\u003EOFFSET :\u003C/strong\u003E spécifie le décalage, en secondes, par rapport à l’heure et la date actuelles pour utiliser Time Travel.\u003C/p\u003E\n","\u003Cp\u003E\u003Cstrong\u003ESTATEMENT :\u003C/strong\u003E spécifie l’ID de requête d’une instruction à utiliser comme point de référence pour Time Travel.\u003C/p\u003E\n\u003C/blockquote\u003E\n","\u003Ch3\u003EÉtape 4 – Cliquer sur Next (Suivant) -->\u003C/h3\u003E\n","\u003Ch2\u003EBasculer la table de développement en table de production\u003C/h2\u003E\n","\u003Ch3\u003EPrésentation\u003C/h3\u003E\n","\u003Cp\u003ENotre table \u003Ccode\u003Etruck_dev\u003C/code\u003E étant restaurée telle qu’elle était avant l’exécution de notre instruction de mise à jour incorrecte, nous pouvons désormais nous assurer que la colonne est correctement mise à jour. Nous allons basculer notre table, contenant le bon calcul, en table de production afin de réaliser la tâche qui nous a été attribuée.\u003C/p\u003E\n","\u003Ch3\u003EÉtape 1 – Ajouter des valeurs correctement calculées dans une colonne\u003C/h3\u003E\n","\u003Cp\u003EÀ l’aide du même processus, exécutez la requête suivante en vérifiant que nous utilisons bien une soustraction, et non une division.\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode\u003EUPDATE frostbyte_tasty_bytes.raw_pos.truck_dev t\nSET truck_age = (YEAR(CURRENT_DATE()) - t.year);\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/tasty-bytes-zero-to-snowflake-transformation-fr/8.1.correct_update.png\" alt=\"assets/8.1.correct_update.png\"\u003E\u003C/p\u003E\n","\u003Ch3\u003EÉtape 2 – Basculer la table de développement en table de production\u003C/h3\u003E\n","\u003Cp\u003EUne fois que tout est terminé dans \u003Ccode\u003Etruck_dev\u003C/code\u003E, exécutez les deux requêtes suivantes, pour lesquelles nous supposons que le rôle privilégié est \u003Ccode\u003Esysadmin\u003C/code\u003E. En tant que \u003Ccode\u003Esysadmin\u003C/code\u003E, la deuxième requête utilise la clause \u003Ca href=\"https://docs.snowflake.com/en/sql-reference/sql/alter-table\"\u003EALTER TABLE... SWAP WITH\u003C/a\u003E pour modifier notre table \u003Ccode\u003Etruck_dev\u003C/code\u003E en \u003Ccode\u003Etruck\u003C/code\u003E, et vice versa.\u003C/p\u003E\n","\u003Cp\u003ECette requête va renvoyer un résultat \u003Ccode\u003EStatement executed successfully.\u003C/code\u003E.\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode\u003EUSE ROLE sysadmin;\n\nALTER TABLE frostbyte_tasty_bytes.raw_pos.truck_dev \n    SWAP WITH frostbyte_tasty_bytes.raw_pos.truck; \n\u003C/code\u003E\u003C/pre\u003E\n","\u003Ch3\u003EÉtape 3 – Valider la table de production\u003C/h3\u003E\n","\u003Cp\u003EPour confirmer la réussite du processus, jetons un œil à notre table de production \u003Ccode\u003Etruck\u003C/code\u003E pour pouvoir la valider et vérifier que les résultats \u003Ccode\u003Etruck_age\u003C/code\u003E sont valides.\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode\u003ESELECT \n    t.truck_id, \n    t.year, \n    t.truck_age FROM \nfrostbyte_tasty_bytes.raw_pos.truck t \nWHERE t.make = 'Ford';\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/tasty-bytes-zero-to-snowflake-transformation-fr/8.3.validate_prod.png\" alt=\"assets/8.3.validate_prod.png\"\u003E\u003C/p\u003E\n","\u003Ch3\u003EÉtape 4 – Cliquer sur Next (Suivant) -->\u003C/h3\u003E\n","\u003Ch2\u003ESupprimer et restaurer des tables\u003C/h2\u003E\n","\u003Ch3\u003EPrésentation\u003C/h3\u003E\n","\u003Cp\u003ENous pouvons officiellement dire que la tâche de développement qui nous avait été attribuée est achevée. La colonne \u003Ccode\u003Etruck_age\u003C/code\u003E étant ajoutée et ses valeurs correctement calculées, le \u003Ccode\u003Esysadmin\u003C/code\u003E n’a plus qu’à nettoyer la table restante.\u003C/p\u003E\n","\u003Ch3\u003EÉtape 1 – Supprimer une table\u003C/h3\u003E\n","\u003Cp\u003EPour supprimer la table de notre base de données, exécutez la requête suivante, qui utilise la clause \u003Ca href=\"https://docs.snowflake.com/fr/sql-reference/sql/drop-table\"\u003EDROP TABLE\u003C/a\u003E.\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode\u003EDROP TABLE frostbyte_tasty_bytes.raw_pos.truck;\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/tasty-bytes-zero-to-snowflake-transformation-fr/9.1.drop.png\" alt=\"assets/9.1.drop.png\"\u003E\u003C/p\u003E\n","\u003Cp\u003E\u003Cstrong\u003EOups !\u003C/strong\u003E Ce jeu de résultats montre que même le \u003Ccode\u003Esysadmin\u003C/code\u003E peut commettre des erreurs. Nous avons supprimé par erreur la table de production \u003Ccode\u003Etruck\u003C/code\u003E au lieu de la table de développement \u003Ccode\u003Etruck_dev\u003C/code\u003E ! Heureusement, la fonction Time Travel de Snowflake peut de nouveau y remédier.\u003C/p\u003E\n","\u003Ch3\u003EÉtape 2 – Restaurer une table\u003C/h3\u003E\n","\u003Cp\u003EAvant que les systèmes ne soient impactés, empressez-vous d’exécuter la requête suivante (\u003Ca href=\"https://docs.snowflake.com/fr/sql-reference/sql/undrop-table\"\u003EUNDROP\u003C/a\u003E), qui restaurera la table \u003Ccode\u003Etruck\u003C/code\u003E.\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode\u003EUNDROP TABLE frostbyte_tasty_bytes.raw_pos.truck;\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/tasty-bytes-zero-to-snowflake-transformation-fr/9.2.undrop.png\" alt=\"assets/9.2.undrop.png\"\u003E\u003C/p\u003E\n","\u003Ch3\u003EÉtape 3 – Supprimer la bonne table\u003C/h3\u003E\n","\u003Cp\u003EFinissons-en officiellement en exécutant la dernière requête afin de supprimer correctement la table \u003Ccode\u003Etruck_dev\u003C/code\u003E.\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode\u003EDROP TABLE frostbyte_tasty_bytes.raw_pos.truck_dev;\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/tasty-bytes-zero-to-snowflake-transformation-fr/9.3.correctdrop.png\" alt=\"assets/9.3.correctdrop.png\"\u003E\u003C/p\u003E\n","\u003Ch3\u003EÉtape 4 – Cliquer sur Next (Suivant) -->\u003C/h3\u003E\n","\u003Ch2\u003EConclusion et étapes suivantes\u003C/h2\u003E\n","\u003Ch3\u003EConclusion\u003C/h3\u003E\n","\u003Cp\u003EBeau travail ! Vous avez terminé le guide Quickstart Tasty Bytes Débuter avec Snowflake sur la transformation.\u003C/p\u003E\n","\u003Cp\u003EVous avez :\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003ECloné une table\u003C/li\u003E\u003Cli\u003EUtilisé le cache de jeux de résultats de Snowflake\u003C/li\u003E\u003Cli\u003EAjouté une colonne à une table - Mis à jour les données d’une colonne\u003C/li\u003E\u003Cli\u003EUtilisé la fonction Time Travel à des fins de récupération de données après sinistre\u003C/li\u003E\u003Cli\u003EÉchangé, supprimé et restauré une table\u003C/li\u003E\u003C/ul\u003E\n","\u003Cp\u003ESi vous voulez recommencer ce guide Quickstart, utilisez les scripts de réinitialisation en bas de votre feuille de calcul associée.\u003C/p\u003E\n","\u003Ch3\u003EProchaines étapes\u003C/h3\u003E\n","\u003Cp\u003EPour continuer à découvrir le Data Cloud Snowflake, cliquez sur le lien ci-dessous pour voir tous les autres guides Quickstart Powered by Tasty Bytes à votre disposition.\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003E\n","\u003Ch3\u003E\u003Ca href=\"/fr/developers/guides/tasty-bytes-introduction-fr/\"\u003ETable des matières des guides Quickstart Powered by Tasty Bytes\u003C/a\u003E\u003C/h3\u003E\n\u003C/li\u003E\u003C/ul\u003E"],"description":"","title":"Tasty Bytes – Débuter avec Snowflake – Transformation",":items":{},":itemsOrder":[],":type":"snowflake-site/components/contentfragment","elements":{"quickstartArticleBody":{"dataType":"string","title":"Quickstart Article Body","value":"\u003C!-- ------------------------ --\u003E\r\n\r\n## Transformation dans Snowflake\r\n\r\n### Présentation\r\nBienvenue dans le guide Quickstart Powered by Tasty Bytes Débuter avec Snowflake sur la transformation !\r\n\r\nCe guide présente un large éventail de fonctionnalités Snowflake clés (clonage zéro copie et Time Travel, par exemple) qui permettent de répondre aux besoins de Tasty Bytes.\r\n\r\n### Conditions préalables\r\n- Avant de commencer, assurez-vous de suivre l’intégralité du guide Quickstart [**Présentation de Tasty Bytes**](/fr/developers/guides/tasty-bytes-introduction-fr/), qui explique comment configurer un compte d’essai et déployer les éléments de base de Tasty Bytes requis pour suivre ce guide Quickstart.\r\n\r\n### Vous allez apprendre :\r\n- Comment cloner une table\r\n- Comment utiliser le cache de jeux de résultats de Snowflake\r\n- Comment ajouter une colonne à une table\r\n- Comment mettre à jour les données d’une colonne\r\n- Comment utiliser la fonctionnalité Time Travel\r\n- Comment échanger, supprimer et restaurer une table\r\n\r\n### Vous allez :\r\n- Découvrir la principale fonctionnalité de transformation Snowflake \r\n- Créer le clone d’une table de production pour créer une table de développement\r\n- Ajouter une colonne à une table renseignant l’âge calculé, en années, des food trucks\r\n\r\n\r\n## Créer une feuille de calcul et la copier dans un fichier SQL\r\n\r\n### Présentation\r\nDans ce guide Quickstart, vous allez suivre une histoire de Tasty Bytes via une feuille de calcul SQL Snowsight. Cette page, qui fait office de guide étape par étape, comprend également des commentaires, des images et des liens vers de la documentation.\r\n\r\nCette section vous explique comment vous connecter à Snowflake, comment créer une nouvelle feuille de calcul et la renommer, mais aussi comment copier le fichier SQL que nous allons utiliser dans ce guide Quickstart depuis GitHub et le coller.\r\n\r\n### Étape 1 – Accéder à Snowflake via une URL\r\n- Ouvrez une fenêtre de votre navigateur et saisissez l’URL de votre compte Snowflake. \r\n\r\n### Étape 2 – Se connecter à Snowflake\r\n- Connectez-vous à votre compte Snowflake.\r\n    - ![assets/log_into_snowflake.gif](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/tasty-bytes-zero-to-snowflake-transformation-fr/log_into_snowflake.gif)\r\n\r\n### Étape 3 – Accéder aux feuilles de calcul\r\n- Cliquez sur l’onglet Worksheets (Feuilles de calcul) dans la barre de navigation de gauche.\r\n    - ![assets/worksheet_tab.png](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/tasty-bytes-zero-to-snowflake-transformation-fr/worksheet_tab.png)\r\n\r\n### Étape 4 – Créer une feuille de calcul\r\n- Sous l’onglet Worksheets (Feuilles de calcul), cliquez sur le bouton « + » dans le coin supérieur droit de Snowsight, puis sélectionnez « SQL Worksheet » (Feuille de calcul SQL).\r\n    - ![assets/+_sqlworksheet.png](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/tasty-bytes-zero-to-snowflake-transformation-fr/+_sqlworksheet.png)\r\n\r\n### Étape 5 – Renommer une feuille de calcul\r\n- Renommez la feuille de calcul en cliquant sur le nom généré automatiquement (horodatage), puis en saisissant \"Tasty Bytes – Transformation\".\r\n    - ![assets/rename_worksheet_tasty_bytes_setup.gif](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/tasty-bytes-zero-to-snowflake-transformation-fr/rename_worksheet_tasty_bytes_setup.gif)\r\n\r\n### Étape 6 – Accéder au fichier SQL de ce guide Quickstart dans GitHub\r\n- Cliquez sur le bouton ci-dessous pour être redirigé vers notre fichier SQL Tasty Bytes hébergé sur GitHub. \u003Cbutton\u003E[tb_zts_transformation](https://github.com/Snowflake-Labs/sf-samples/blob/main/samples/tasty_bytes/tb_zts_transformation.sql)\u003C/button\u003E\r\n\r\n### Étape 7 – Copier le fichier de configuration SQL depuis GitHub\r\n- Dans GitHub, à droite, cliquez sur « Copy raw contents » (Copier le contenu brut). L’ensemble du fichier SQL requis est copié dans votre presse-papiers.\r\n    - ![assets/github_copy_raw_contents.png](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/tasty-bytes-zero-to-snowflake-transformation-fr/github_copy_raw_contents.png)\r\n\r\n### Étape 8 – Coller le fichier de configuration SQL depuis GitHub dans une feuille de calcul Snowflake\r\n- Revenez dans Snowsight et dans votre nouvelle feuille de calcul, puis collez (*CMD + V pour Mac ou CTRL + V pour Windows*) ce que vous venez de copier dans GitHub.\r\n\r\n### Étape 9 – Cliquer sur Next (Suivant) --\u003E\r\n\r\n## Cloner instantanément une table de production pour créer une table de développement\r\n\r\n### Présentation\r\nDans le cadre de l’analyse de la flotte de camionnettes de Tasty Bytes, il vous a été demandé, en tant que développeur, d’ajouter une colonne Âge calculé des camionnettes dans notre table Camionnette. \r\n \r\nExperts en la matière, nous savons que nous ne pouvons pas développer une table de production. Nous devons donc commencer par créer un environnement de développement semblable à un environnement de production.\r\n\r\n### Étape 1 – Créer le clone d’une table de production\r\nGrâce à l’architecture unique de Snowflake, nous pouvons créer un instantané de notre table de production `raw_pos.truck` à l’aide de la fonctionnalité [CLONE](https://docs.snowflake.com/fr/sql-reference/sql/create-clone) et le nommer `raw_pos.truck_dev`.\r\n\r\nExécutons notre prochain ensemble de requêtes pour définir notre contexte de rôle `tasty_dev` et créer le clone de la table. Notons que nous n’avons pas besoin de définir de contexte d’entrepôt, car le clonage n’en nécessite aucun.\r\n\r\n``` \r\nUSE ROLE tasty_dev;\r\n\r\nCREATE OR REPLACE TABLE frostbyte_tasty_bytes.raw_pos.truck_dev \r\n    CLONE frostbyte_tasty_bytes.raw_pos.truck; \r\n``` \r\n![assets/3.1.truck_dev_clone.png](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/tasty-bytes-zero-to-snowflake-transformation-fr/3.1.truck_dev_clone.png)\r\n\r\n\u003E **Clonage zéro copie** : permet de créer une copie d’une base de données, d’un schéma ou d’une table. Un instantané des données figurant dans l’objet source est créé au moment de la création du clone, puis est mis à la disposition de l’objet cloné. L’objet cloné est accessible en écriture et est indépendant de la source du clone. Autrement dit, aucune modification apportée à l’objet source n’est reproduite sur le clone, et vice-versa. \r\n\u003E\r\n\r\n### Étape 2 – Cliquer sur Next (Suivant) --\u003E\r\n\r\n## Tester le cache de jeux de résultats des requêtes de Snowflake\r\n\r\n### Présentation\r\nNotre clone zéro copie étant disponible instantanément, nous pouvons commencer à le développer sans craindre d’affecter la table de production. Toutefois, avant d’y apporter des modifications, interrogeons-le en exécutant des requêtes simples pour tester le cache de jeux de résultats de Snowflake.\r\n\r\n### Étape 1 – Interroger la table clonée\r\nPour interroger la table, nous allons devoir utiliser l’entrepôt `tasty_dev_wh`. \r\n\r\nExécutons les deux requêtes suivantes avec la deuxième instruction pour produire un jeu de résultats composé de nos camionnettes, ainsi que de leurs âge, marque et modèle, tout en nous assurant de trier notre colonne `truck_id` avec la requête [ORDER BY](https://docs.snowflake.com/fr/sql-reference/constructs/order-by).\r\n\r\n``` \r\nUSE WAREHOUSE tasty_dev_wh;\r\n\r\nSELECT \r\n    t.truck_id, \r\n    t.year, \r\n    t.make, \r\n    t.model \r\nFROM frostbyte_tasty_bytes.raw_pos.truck_dev t \r\nORDER BY t.truck_id; \r\n```\r\n\r\n![assets/4.1.truck.png](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/tasty-bytes-zero-to-snowflake-transformation-fr/4.1.truck.png)\r\n\r\n### Étape 2 – Exécuter de nouveau la requête\r\nPour tester le [cache de jeux de résultats](https://docs.snowflake.com/fr/user-guide/querying-persisted-results) Snowflake, nous allons exécuter la même requête que la précédente. Nous allons aller plus loin et accéder au profil de requête, qui montre les résultats renvoyés instantanément par cette requête, ces derniers provenant de notre cache de jeux de résultats.\r\n\r\nAprès avoir exécuté la requête ci-dessous, suivez les étapes indiquées sur la capture d’écran pour accéder au [profil de requête](https://docs.snowflake.com/fr/user-guide/ui-query-profile). Dans le profil de requête, un seul nœud nommé `QUERY RESULT REUSE` apparaît.\r\n\r\n```\r\nSELECT\r\n    t.truck_id,\r\n    t.year,\r\n    t.make,\r\n    t.model\r\nFROM frostbyte_tasty_bytes.raw_pos.truck_dev t\r\nORDER BY t.truck_id;\r\n```\r\n\r\n![assets/4.2.1.truck.png](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/tasty-bytes-zero-to-snowflake-transformation-fr/4.2.1.truck.png) ![assets/4.2.2.cache.png](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/tasty-bytes-zero-to-snowflake-transformation-fr/4.2.2.cache.png)\r\n\r\n\u003Easide positive Si un utilisateur répète une requête qui a déjà été exécutée et que les données de la ou des tables n’ont pas changé depuis la dernière fois que la requête a été exécutée, alors le résultat de la requête sera le même. Au lieu d’exécuter à nouveau la requête, Snowflake peut simplement renvoyer le même résultat que précédemment. \r\n\u003E         \r\n\u003ECette procédure permet de réduire considérablement le temps de requête, car Snowflake contourne l’exécution de la requête et, à la place, récupère le résultat directement dans le cache.\r\n\u003E\r\n\r\n### Étape 3 – Cliquer sur Next (Suivant) --\u003E\r\n\r\n## Mettre à jour les données et calculer l’âge des food trucks\r\n\r\n### Présentation\r\nLes résultats de la section ci-dessus montrent que nous devons tout d’abord corriger les fautes de frappe des enregistrements Ford_ figurant dans notre colonne `make`. Nous pourrons ensuite commencer notre calcul qui nous donnera l’âge de chaque camionnette.\r\n\r\n### Étape 1 – Mettre à jour les valeurs incorrectes d’une colonne\r\nPour commencer cette section, assurons-nous de corriger les fautes de frappe en exécutant la requête suivante, qui utilise l’instruction [UPDATE](https://docs.snowflake.com/fr/sql-reference/sql/update) pour modifier les lignes de notre clause `truck_dev` [WHERE](https://docs.snowflake.com/fr/sql-reference/constructs/where) make = ’Ford_’.\r\n\r\n```\r\nUPDATE frostbyte_tasty_bytes.raw_pos.truck_dev \r\nSET make = 'Ford' \r\nWHERE make = 'Ford_';\r\n```\r\n\r\n![assets/5.1.ford_.png](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/tasty-bytes-zero-to-snowflake-transformation-fr/5.1.ford_.png)\r\n\r\n### Étape 2 – Calculer l’âge\r\nUne fois les fautes de frappe corrigées, nous pouvons calculer l’âge, en années, des camionnettes de notre flotte. Exécutez la requête suivante, où les fonctions [YEAR](https://docs.snowflake.com/fr/sql-reference/functions/year) et [CURRENT_DATE](https://docs.snowflake.com/fr/sql-reference/functions/current_date) seront utilisées pour le calcul.\r\n\r\n```\r\nSELECT\r\n    t.truck_id,\r\n    t.year,\r\n    t.make,\r\n    t.model,\r\n    (YEAR(CURRENT_DATE()) - t.year) AS truck_age_year\r\nFROM frostbyte_tasty_bytes.raw_pos.truck_dev t;\r\n```\r\n\r\n![assets/5.2.age.png](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/tasty-bytes-zero-to-snowflake-transformation-fr/5.2.age.png)\r\n\r\n### Étape 3 – Cliquer sur Next (Suivant) --\u003E\r\n\r\n## Ajouter une colonne et la mettre à jour\r\n\r\n### Présentation\r\nUne fois l’âge, en années, des camionnettes calculé et mis à jour, ajoutons une nouvelle colonne à notre table clonée en conséquence, puis mettons-la à jour avec les valeurs calculées.\r\n\r\n### Étape 1 – Ajouter une colonne à une table\r\nPour commencer, exécutez la requête suivante, qui utilise la clause [ALTER TABLE... ADD COLUMN](https://docs.snowflake.com/fr/sql-reference/sql/alter-table-column) pour créer une colonne `truck_age` vide de [type de données numériques](https://docs.snowflake.com/fr/sql-reference/data-types-numeric) dans notre table `truck_dev`. \r\n\r\nCette requête va renvoyer un résultat `Statement executed successfully`.\r\n\r\n```\r\nALTER TABLE frostbyte_tasty_bytes.raw_pos.truck_dev\r\n    ADD COLUMN truck_age NUMBER(4);\r\n```\r\n\r\n### Étape 2 – Ajouter des valeurs calculées dans une colonne\r\nUne fois la colonne ajoutée, nous pouvons exécuter la requête [UPDATE](https://docs.snowflake.com/fr/sql-reference/sql/update), qui va mettre à jour la nouvelle colonne `truck_age` vide avec l’âge des camionnettes que nous avons calculé à la section précédente. \r\n```\r\nUPDATE frostbyte_tasty_bytes.raw_pos.truck_dev t\r\n    SET truck_age = (YEAR(CURRENT_DATE()) / t.year);\r\n``` \r\n![assets/6.2.update.png](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/tasty-bytes-zero-to-snowflake-transformation-fr/6.2.update.png)\r\n\r\n### Étape 3 – Interroger la nouvelle colonne\r\nUne fois les données mises à jour, interrogeons la table en exécutant une requête rapide pour voir à quoi ressemble notre colonne `truck_age`. \r\n```\r\nSELECT\r\n    t.truck_id,\r\n    t.year,\r\n    t.truck_age\r\nFROM frostbyte_tasty_bytes.raw_pos.truck_dev t;\r\n``` \r\n![assets/6.3.bad_data.png](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/tasty-bytes-zero-to-snowflake-transformation-fr/6.3.bad_data.png)\r\n\r\n**Oups !** Heureusement, nous avons eu la finesse d’esprit de ne pas réaliser ce processus à l’aveugle dans la table de production. \r\n\r\nIl semble que nous avons commis une erreur dans le calcul `truck_age`, en faisant une division au lieu d’une soustraction. Nous allons devoir corriger cela dans la section suivante.\r\n\r\n### Étape 4 – Cliquer sur Next (Suivant) --\u003E\r\n\r\n## Utiliser la fonctionnalité Time Travel à des fins de récupération de données après sinistre\r\n\r\n### Présentation\r\nMême si nous avons commis une erreur, Snowflake compte de nombreuses fonctionnalités pour y remédier. Le processus consiste à utiliser l’historique des requêtes, des variables SQL et Time Travel pour restaurer notre table `truck_dev` telle qu’elle était avant l’exécution de cette instruction de mise à jour incorrecte.\r\n\r\n\u003Easide positive La fonction Time Travel permet d’accéder à des données historiques (données qui ont été modifiées ou supprimées) à n’importe quel moment d’une période définie.\r\n\u003E\r\n\r\n### Étape 1 – Exploiter l’historique des requêtes\r\nPour commencer notre processus de récupération, exécutons la requête suivante, qui utilisera la fonction [QUERY_HISTORY](https://docs.snowflake.com/fr/sql-reference/functions/query_history) de Snowflake pour récupérer la liste de toutes les instructions de mise à jour que nous avons exécutées sur notre table `truck_dev`. \r\n```\r\nSELECT \r\n    query_id,\r\n    query_text,\r\n    user_name,\r\n    query_type,\r\n    start_time\r\nFROM TABLE(frostbyte_tasty_bytes.information_schema.query_history())\r\nWHERE 1=1\r\n    AND query_type = 'UPDATE'\r\n    AND query_text LIKE '%frostbyte_tasty_bytes.raw_pos.truck_dev%'\r\nORDER BY start_time DESC;\r\n``` \r\n![assets/7.1.query_history.png](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/tasty-bytes-zero-to-snowflake-transformation-fr/7.1.query_history.png)\r\n\r\n### Étape 2 – Définir une variable SQL\r\nComme prévu, nous voyons que nos fautes de frappe ont été corrigées et que notre calcul incorrect et les instructions query_id qui y sont associées ont été mis à jour. Exécutez la requête suivante, qui créé une variable SQL `query_id` que nous utiliserons pour annuler nos modifications via la fonction Time Travel lors de l’étape suivante. \r\n\r\nCette requête va renvoyer un résultat `Statement executed successfully`. \r\n```\r\nSET query_id = \r\n(\r\n    SELECT TOP 1 query_id\r\n    FROM TABLE(frostbyte_tasty_bytes.information_schema.query_history())\r\n    WHERE 1=1\r\n        AND query_type = 'UPDATE'\r\n        AND query_text LIKE '%SET truck_age = (YEAR(CURRENT_DATE()) / t.year);'\r\n    ORDER BY start_time DESC\r\n);\r\n```\r\n\r\n### Étape 3 – Utiliser la fonction Time Travel pour restaurer une table\r\nÉtant donné que notre instruction query_id incorrecte est stockée en tant que variable, nous pouvons exécuter la requête suivante, qui restaurera notre table `truck_dev` telle qu’elle était avant (clause [BEFORE](https://docs.snowflake.com/fr/sql-reference/constructs/at-before)) l’exécution de l’instruction query_id incorrecte, et ce à l’aide de la fonction Time Travel. \r\n\r\n``` \r\nCREATE OR REPLACE TABLE frostbyte_tasty_bytes.raw_pos.truck_dev \r\n    AS \r\nSELECT * FROM frostbyte_tasty_bytes.raw_pos.truck_dev \r\nBEFORE(STATEMENT =\u003E $query_id); \r\n``` \r\n![assets/7.3.time_travel.png](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/tasty-bytes-zero-to-snowflake-transformation-fr/7.3.time_travel.png)\r\n\r\nPour connaître les autres options d’instruction Time Travel disponibles, consultez la liste ci-dessous.\r\n\u003Easide positive **AT :** le mot clé AT spécifie que la requête inclut tous les changements apportés par une instruction ou une transaction dont l’horodatage est égal au paramètre spécifié.\r\n\u003E\r\n\u003E**BEFORE :** le mot clé BEFORE spécifie que la requête se réfère à un point précédant immédiatement le paramètre spécifié.\r\n\u003E\r\n\u003E**TIMESTAMP :** spécifie une date et une heure exactes à utiliser pour Time Travel.\r\n\u003E\r\n\u003E**OFFSET :** spécifie le décalage, en secondes, par rapport à l’heure et la date actuelles pour utiliser Time Travel.\r\n\u003E\r\n\u003E**STATEMENT :** spécifie l’ID de requête d’une instruction à utiliser comme point de référence pour Time Travel.\r\n\u003E\r\n\r\n### Étape 4 – Cliquer sur Next (Suivant) --\u003E\r\n\r\n## Basculer la table de développement en table de production\r\n\r\n### Présentation\r\nNotre table `truck_dev` étant restaurée telle qu’elle était avant l’exécution de notre instruction de mise à jour incorrecte, nous pouvons désormais nous assurer que la colonne est correctement mise à jour. Nous allons basculer notre table, contenant le bon calcul, en table de production afin de réaliser la tâche qui nous a été attribuée.\r\n\r\n### Étape 1 – Ajouter des valeurs correctement calculées dans une colonne\r\nÀ l’aide du même processus, exécutez la requête suivante en vérifiant que nous utilisons bien une soustraction, et non une division.\r\n\r\n```\r\nUPDATE frostbyte_tasty_bytes.raw_pos.truck_dev t\r\nSET truck_age = (YEAR(CURRENT_DATE()) - t.year);\r\n```\r\n\r\n![assets/8.1.correct_update.png](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/tasty-bytes-zero-to-snowflake-transformation-fr/8.1.correct_update.png)\r\n\r\n### Étape 2 – Basculer la table de développement en table de production\r\nUne fois que tout est terminé dans `truck_dev`, exécutez les deux requêtes suivantes, pour lesquelles nous supposons que le rôle privilégié est `sysadmin`. En tant que `sysadmin`, la deuxième requête utilise la clause [ALTER TABLE... SWAP WITH](https://docs.snowflake.com/en/sql-reference/sql/alter-table) pour modifier notre table `truck_dev` en `truck`, et vice versa.\r\n\r\nCette requête va renvoyer un résultat `Statement executed successfully.`.\r\n\r\n``` \r\nUSE ROLE sysadmin;\r\n\r\nALTER TABLE frostbyte_tasty_bytes.raw_pos.truck_dev \r\n    SWAP WITH frostbyte_tasty_bytes.raw_pos.truck; \r\n```\r\n\r\n### Étape 3 – Valider la table de production\r\nPour confirmer la réussite du processus, jetons un œil à notre table de production `truck` pour pouvoir la valider et vérifier que les résultats `truck_age` sont valides.\r\n\r\n``` \r\nSELECT \r\n    t.truck_id, \r\n    t.year, \r\n    t.truck_age FROM \r\nfrostbyte_tasty_bytes.raw_pos.truck t \r\nWHERE t.make = 'Ford';\r\n```\r\n\r\n![assets/8.3.validate_prod.png](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/tasty-bytes-zero-to-snowflake-transformation-fr/8.3.validate_prod.png)\r\n\r\n### Étape 4 – Cliquer sur Next (Suivant) --\u003E\r\n\r\n## Supprimer et restaurer des tables\r\n\r\n### Présentation\r\nNous pouvons officiellement dire que la tâche de développement qui nous avait été attribuée est achevée. La colonne `truck_age` étant ajoutée et ses valeurs correctement calculées, le `sysadmin` n’a plus qu’à nettoyer la table restante.\r\n\r\n### Étape 1 – Supprimer une table\r\nPour supprimer la table de notre base de données, exécutez la requête suivante, qui utilise la clause [DROP TABLE](https://docs.snowflake.com/fr/sql-reference/sql/drop-table).\r\n\r\n```\r\nDROP TABLE frostbyte_tasty_bytes.raw_pos.truck;\r\n```\r\n\r\n![assets/9.1.drop.png](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/tasty-bytes-zero-to-snowflake-transformation-fr/9.1.drop.png)\r\n\r\n**Oups !** Ce jeu de résultats montre que même le `sysadmin` peut commettre des erreurs. Nous avons supprimé par erreur la table de production `truck` au lieu de la table de développement `truck_dev` ! Heureusement, la fonction Time Travel de Snowflake peut de nouveau y remédier.\r\n\r\n### Étape 2 – Restaurer une table\r\nAvant que les systèmes ne soient impactés, empressez-vous d’exécuter la requête suivante ([UNDROP](https://docs.snowflake.com/fr/sql-reference/sql/undrop-table)), qui restaurera la table `truck`.\r\n\r\n```\r\nUNDROP TABLE frostbyte_tasty_bytes.raw_pos.truck;\r\n```\r\n\r\n![assets/9.2.undrop.png](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/tasty-bytes-zero-to-snowflake-transformation-fr/9.2.undrop.png)\r\n\r\n### Étape 3 – Supprimer la bonne table\r\nFinissons-en officiellement en exécutant la dernière requête afin de supprimer correctement la table `truck_dev`.\r\n\r\n```\r\nDROP TABLE frostbyte_tasty_bytes.raw_pos.truck_dev;\r\n```\r\n\r\n![assets/9.3.correctdrop.png](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/tasty-bytes-zero-to-snowflake-transformation-fr/9.3.correctdrop.png)\r\n\r\n### Étape 4 – Cliquer sur Next (Suivant) --\u003E\r\n\r\n## Conclusion et étapes suivantes\r\n\r\n### Conclusion\r\nBeau travail ! Vous avez terminé le guide Quickstart Tasty Bytes Débuter avec Snowflake sur la transformation. \r\n\r\nVous avez : \r\n- Cloné une table \r\n- Utilisé le cache de jeux de résultats de Snowflake \r\n- Ajouté une colonne à une table - Mis à jour les données d’une colonne \r\n- Utilisé la fonction Time Travel à des fins de récupération de données après sinistre \r\n- Échangé, supprimé et restauré une table\r\n\r\nSi vous voulez recommencer ce guide Quickstart, utilisez les scripts de réinitialisation en bas de votre feuille de calcul associée.\r\n\r\n### Prochaines étapes\r\nPour continuer à découvrir le Data Cloud Snowflake, cliquez sur le lien ci-dessous pour voir tous les autres guides Quickstart Powered by Tasty Bytes à votre disposition.\r\n\r\n- ### [Table des matières des guides Quickstart Powered by Tasty Bytes](/fr/developers/guides/tasty-bytes-introduction-fr/)","multiValue":false,":type":"text/x-markdown"},"quickstartArticleLogoImage":{"dataType":"string","title":"Quickstart Article Logo Image","multiValue":false,":type":"text/plain"}},"elementsOrder":["quickstartArticleBody","quickstartArticleLogoImage"],"isDeveloperGuidesPage":false,"model":"snowflake-site/models/quickstart-article"},"flexible_column_cont":{"id":"flexible-column-container-dc4769c793","type":"2-column-75-25","alignColumns":"top","containerMaxWidth":"extra-large","topPadding":"none","bottomPadding":"none","spaceBetween":"none","reverseOnMobile":false,"carouselOnMobile":false,"backgroundImageOption":"none","flexible_column_content_container_1":{"layout":"SIMPLE","id":"container-8131290379",":items":{"quickstart_last_modi":{"id":"quickstart-last-modified-57adcb2265","icon":{"id":"icon","icon":"calendar",":type":"snowflake-site/components/icon","appliedCssClassNames":"snowflake-icon-blue"},"lastModifiedDatePrefix":"Updated","lastModifiedDate":"2024-10-31",":type":"snowflake-site/components/quickstart/quickstart-last-modified","appliedCssClassNames":"snowflake-responsive-component-top-padding-small"},"text":{"id":"text-00f2da47e5","additionalClasses":"qs-disclaimer-text","text":"\u003Cp\u003E\u003Cspan style=\"color: #666;\"\u003EThis content is provided as is, and is not maintained on an ongoing basis. 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dans Snowflake\u003C/h2\u003E","\u003Ch2\u003ECréer une feuille de calcul et la copier dans un fichier SQL\u003C/h2\u003E","\u003Ch2\u003ECloner instantanément une table de production pour créer une table de développement\u003C/h2\u003E","\u003Ch2\u003ETester le cache de jeux de résultats des requêtes de Snowflake\u003C/h2\u003E","\u003Ch2\u003EMettre à jour les données et calculer l’âge des food trucks\u003C/h2\u003E","\u003Ch2\u003EAjouter une colonne et la mettre à jour\u003C/h2\u003E","\u003Ch2\u003EUtiliser la fonctionnalité Time Travel à des fins de récupération de données après sinistre\u003C/h2\u003E","\u003Ch2\u003EBasculer la table de développement en table de production\u003C/h2\u003E","\u003Ch2\u003ESupprimer et restaurer des tables\u003C/h2\u003E","\u003Ch2\u003EConclusion et étapes 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