{"id":7634,"date":"2019-07-30T11:16:24","date_gmt":"2019-07-30T15:16:24","guid":{"rendered":"http:\/\/consortechsite.wpengine.com\/speeding-up-development-tests-with-cached-data\/"},"modified":"2020-03-13T13:33:10","modified_gmt":"2020-03-13T17:33:10","slug":"accelerer-les-tests-de-developpement-avec-les-donnes-en-cache","status":"publish","type":"post","link":"https:\/\/www.consortech.com\/fr\/accelerer-les-tests-de-developpement-avec-les-donnes-en-cache\/","title":{"rendered":"Acc\u00e9l\u00e9rer les tests de d\u00e9veloppement avec les donn\u00e9es en cache"},"content":{"rendered":"\t\t
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\n\t\t\t\t\t\tAccueil<\/a><\/span><\/span>\t\t\t\t\t<\/div> \n\t\t\t\t<\/div> \n\t\t\t<\/div> \n\t\t<\/div>\n\t\t

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Acc\u00e9l\u00e9rer les tests de d\u00e9veloppement avec les donn\u00e9es en cache<\/h2>\n

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Une des parties les plus stimulantes de travailler avec FME est la conception de nouveaux workspaces. Cela constitue cependant quelques d\u00e9fis. Mais soyez sans crainte, vous pourrez bient\u00f4t vous \u00e9pargner plusieurs t\u00e2ches longues et redondantes que vous auriez d\u00fb effectuer sans l\u2019aide de FME.<\/p>\n

Tester les workspaces peut prendre beaucoup de temps. Il faut ajuster les param\u00e8tres, ajouter\/retirer certains Transformers et puis relancer le processus jusqu\u2019\u00e0 ce que notre traitement nous permette d\u2019aboutir au r\u00e9sultat d\u00e9sir\u00e9. Parfois les donn\u00e9es sont tr\u00e8s volumineuses ou parfois, le traitement est complexe et simplement long \u00e0 rouler. Tester le workspace au complet \u00e0 chaque ajustement de param\u00e8tre devient alors un peu p\u00e9nible.<\/p>\n

Et s\u2019il \u00e9tait possible de tester uniquement la section que nous avons modifi\u00e9? Avec l\u2019arriv\u00e9e de FME Desktop 2018, une nouvelle fonction a fait son entr\u00e9e : le \u00ab feature caching \u00bb.L\u2019objectif de cette fonction est d\u2019utiliser les donn\u00e9es en cache produites par FME lors de l\u2019ex\u00e9cution d\u2019un workspace pour :<\/p>\n

    \n
  1. Visualiser la donn\u00e9e \u00e0 chaque \u00e9tape d\u2019un workspace<\/li>\n
  2. R\u00e9aliser des ex\u00e9cutions partielles du processus.\u00a0<\/li>\n<\/ol>\n

    Cela a pour effet d\u2019acc\u00e9l\u00e9rer grandement le travail de d\u00e9veloppement d\u2019un workspace.
    Pour activer la fonction, il faut cliquer sur l\u2019ic\u00f4ne de loupe dans la barre d\u2019outils.<\/p>\n

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header_5_text_shadow_horizontal_length=\u00a0\u00bbheader_5_text_shadow_style,%91object Object%93″ header_5_text_shadow_horizontal_length_tablet=\u00a0\u00bb0px\u00a0\u00bb header_5_text_shadow_vertical_length=\u00a0\u00bbheader_5_text_shadow_style,%91object Object%93″ header_5_text_shadow_vertical_length_tablet=\u00a0\u00bb0px\u00a0\u00bb header_5_text_shadow_blur_strength=\u00a0\u00bbheader_5_text_shadow_style,%91object Object%93″ header_5_text_shadow_blur_strength_tablet=\u00a0\u00bb1px\u00a0\u00bb header_6_text_shadow_horizontal_length=\u00a0\u00bbheader_6_text_shadow_style,%91object Object%93″ header_6_text_shadow_horizontal_length_tablet=\u00a0\u00bb0px\u00a0\u00bb header_6_text_shadow_vertical_length=\u00a0\u00bbheader_6_text_shadow_style,%91object Object%93″ header_6_text_shadow_vertical_length_tablet=\u00a0\u00bb0px\u00a0\u00bb header_6_text_shadow_blur_strength=\u00a0\u00bbheader_6_text_shadow_style,%91object Object%93″ header_6_text_shadow_blur_strength_tablet=\u00a0\u00bb1px\u00a0\u00bb box_shadow_horizontal_tablet=\u00a0\u00bb0px\u00a0\u00bb box_shadow_vertical_tablet=\u00a0\u00bb0px\u00a0\u00bb box_shadow_blur_tablet=\u00a0\u00bb40px\u00a0\u00bb box_shadow_spread_tablet=\u00a0\u00bb0px\u00a0\u00bb z_index_tablet=\u00a0\u00bb500″]<\/p>\n

      \n
    1. \n

      Visualiser la donn\u00e9e \u00e0 chaque \u00e9tape d’un workspace<\/h3>\n<\/li>\n<\/ol>\n

      Pour utiliser les fonctions du Feature Caching, il faut d\u2019abord lancer le workspace une premi\u00e8re fois. Lorsque le workspace a fini d\u2019\u00eatre ex\u00e9cut\u00e9, des petites loupes vertes s\u2019ajoutent \u00e0 chaque port de sortie des Transformers et des Readers :<\/p>\n

      [\/et_pb_text][et_pb_image _builder_version=\u00a0\u00bb3.26.2″ src=\u00a0\u00bbhttps:\/\/consortech.com\/wp-content\/uploads\/2019\/07\/1-2.png\u00a0\u00bb show_in_lightbox=\u00a0\u00bbon\u00a0\u00bb box_shadow_horizontal_tablet=\u00a0\u00bb0px\u00a0\u00bb box_shadow_vertical_tablet=\u00a0\u00bb0px\u00a0\u00bb box_shadow_blur_tablet=\u00a0\u00bb40px\u00a0\u00bb box_shadow_spread_tablet=\u00a0\u00bb0px\u00a0\u00bb z_index_tablet=\u00a0\u00bb500″ \/][et_pb_text _builder_version=\u00a0\u00bb3.26.2″ text_text_shadow_horizontal_length=\u00a0\u00bbtext_text_shadow_style,%91object Object%93″ text_text_shadow_horizontal_length_tablet=\u00a0\u00bb0px\u00a0\u00bb text_text_shadow_vertical_length=\u00a0\u00bbtext_text_shadow_style,%91object Object%93″ text_text_shadow_vertical_length_tablet=\u00a0\u00bb0px\u00a0\u00bb text_text_shadow_blur_strength=\u00a0\u00bbtext_text_shadow_style,%91object Object%93″ text_text_shadow_blur_strength_tablet=\u00a0\u00bb1px\u00a0\u00bb link_text_shadow_horizontal_length=\u00a0\u00bblink_text_shadow_style,%91object Object%93″ link_text_shadow_horizontal_length_tablet=\u00a0\u00bb0px\u00a0\u00bb link_text_shadow_vertical_length=\u00a0\u00bblink_text_shadow_style,%91object Object%93″ link_text_shadow_vertical_length_tablet=\u00a0\u00bb0px\u00a0\u00bb link_text_shadow_blur_strength=\u00a0\u00bblink_text_shadow_style,%91object Object%93″ link_text_shadow_blur_strength_tablet=\u00a0\u00bb1px\u00a0\u00bb ul_text_shadow_horizontal_length=\u00a0\u00bbul_text_shadow_style,%91object Object%93″ ul_text_shadow_horizontal_length_tablet=\u00a0\u00bb0px\u00a0\u00bb ul_text_shadow_vertical_length=\u00a0\u00bbul_text_shadow_style,%91object Object%93″ ul_text_shadow_vertical_length_tablet=\u00a0\u00bb0px\u00a0\u00bb ul_text_shadow_blur_strength=\u00a0\u00bbul_text_shadow_style,%91object Object%93″ ul_text_shadow_blur_strength_tablet=\u00a0\u00bb1px\u00a0\u00bb ol_text_shadow_horizontal_length=\u00a0\u00bbol_text_shadow_style,%91object Object%93″ ol_text_shadow_horizontal_length_tablet=\u00a0\u00bb0px\u00a0\u00bb ol_text_shadow_vertical_length=\u00a0\u00bbol_text_shadow_style,%91object Object%93″ ol_text_shadow_vertical_length_tablet=\u00a0\u00bb0px\u00a0\u00bb ol_text_shadow_blur_strength=\u00a0\u00bbol_text_shadow_style,%91object Object%93″ ol_text_shadow_blur_strength_tablet=\u00a0\u00bb1px\u00a0\u00bb quote_text_shadow_horizontal_length=\u00a0\u00bbquote_text_shadow_style,%91object Object%93″ quote_text_shadow_horizontal_length_tablet=\u00a0\u00bb0px\u00a0\u00bb quote_text_shadow_vertical_length=\u00a0\u00bbquote_text_shadow_style,%91object Object%93″ quote_text_shadow_vertical_length_tablet=\u00a0\u00bb0px\u00a0\u00bb quote_text_shadow_blur_strength=\u00a0\u00bbquote_text_shadow_style,%91object Object%93″ quote_text_shadow_blur_strength_tablet=\u00a0\u00bb1px\u00a0\u00bb header_text_shadow_horizontal_length=\u00a0\u00bbheader_text_shadow_style,%91object Object%93″ header_text_shadow_horizontal_length_tablet=\u00a0\u00bb0px\u00a0\u00bb header_text_shadow_vertical_length=\u00a0\u00bbheader_text_shadow_style,%91object Object%93″ header_text_shadow_vertical_length_tablet=\u00a0\u00bb0px\u00a0\u00bb header_text_shadow_blur_strength=\u00a0\u00bbheader_text_shadow_style,%91object Object%93″ header_text_shadow_blur_strength_tablet=\u00a0\u00bb1px\u00a0\u00bb header_2_text_shadow_horizontal_length=\u00a0\u00bbheader_2_text_shadow_style,%91object Object%93″ header_2_text_shadow_horizontal_length_tablet=\u00a0\u00bb0px\u00a0\u00bb header_2_text_shadow_vertical_length=\u00a0\u00bbheader_2_text_shadow_style,%91object Object%93″ header_2_text_shadow_vertical_length_tablet=\u00a0\u00bb0px\u00a0\u00bb header_2_text_shadow_blur_strength=\u00a0\u00bbheader_2_text_shadow_style,%91object Object%93″ header_2_text_shadow_blur_strength_tablet=\u00a0\u00bb1px\u00a0\u00bb header_3_text_shadow_horizontal_length=\u00a0\u00bbheader_3_text_shadow_style,%91object Object%93″ header_3_text_shadow_horizontal_length_tablet=\u00a0\u00bb0px\u00a0\u00bb header_3_text_shadow_vertical_length=\u00a0\u00bbheader_3_text_shadow_style,%91object Object%93″ header_3_text_shadow_vertical_length_tablet=\u00a0\u00bb0px\u00a0\u00bb header_3_text_shadow_blur_strength=\u00a0\u00bbheader_3_text_shadow_style,%91object Object%93″ header_3_text_shadow_blur_strength_tablet=\u00a0\u00bb1px\u00a0\u00bb header_4_text_shadow_horizontal_length=\u00a0\u00bbheader_4_text_shadow_style,%91object Object%93″ header_4_text_shadow_horizontal_length_tablet=\u00a0\u00bb0px\u00a0\u00bb header_4_text_shadow_vertical_length=\u00a0\u00bbheader_4_text_shadow_style,%91object Object%93″ header_4_text_shadow_vertical_length_tablet=\u00a0\u00bb0px\u00a0\u00bb header_4_text_shadow_blur_strength=\u00a0\u00bbheader_4_text_shadow_style,%91object Object%93″ header_4_text_shadow_blur_strength_tablet=\u00a0\u00bb1px\u00a0\u00bb header_5_text_shadow_horizontal_length=\u00a0\u00bbheader_5_text_shadow_style,%91object Object%93″ header_5_text_shadow_horizontal_length_tablet=\u00a0\u00bb0px\u00a0\u00bb header_5_text_shadow_vertical_length=\u00a0\u00bbheader_5_text_shadow_style,%91object Object%93″ header_5_text_shadow_vertical_length_tablet=\u00a0\u00bb0px\u00a0\u00bb header_5_text_shadow_blur_strength=\u00a0\u00bbheader_5_text_shadow_style,%91object Object%93″ header_5_text_shadow_blur_strength_tablet=\u00a0\u00bb1px\u00a0\u00bb header_6_text_shadow_horizontal_length=\u00a0\u00bbheader_6_text_shadow_style,%91object Object%93″ header_6_text_shadow_horizontal_length_tablet=\u00a0\u00bb0px\u00a0\u00bb header_6_text_shadow_vertical_length=\u00a0\u00bbheader_6_text_shadow_style,%91object Object%93″ header_6_text_shadow_vertical_length_tablet=\u00a0\u00bb0px\u00a0\u00bb header_6_text_shadow_blur_strength=\u00a0\u00bbheader_6_text_shadow_style,%91object Object%93″ header_6_text_shadow_blur_strength_tablet=\u00a0\u00bb1px\u00a0\u00bb box_shadow_horizontal_tablet=\u00a0\u00bb0px\u00a0\u00bb box_shadow_vertical_tablet=\u00a0\u00bb0px\u00a0\u00bb box_shadow_blur_tablet=\u00a0\u00bb40px\u00a0\u00bb box_shadow_spread_tablet=\u00a0\u00bb0px\u00a0\u00bb z_index_tablet=\u00a0\u00bb500″]<\/p>\n

      Celles-ci nous permettent \u00ab d\u2019inspecter \u00bb la donn\u00e9e \u00e0 tout moment. Il suffit simplement de cliquer sur la loupe du moment o\u00f9 nous voulons voir la donn\u00e9e.<\/p>\n

      [\/et_pb_text][et_pb_image _builder_version=\u00a0\u00bb3.26.2″ src=\u00a0\u00bbhttps:\/\/consortech.com\/wp-content\/uploads\/2019\/07\/1-3.png\u00a0\u00bb show_in_lightbox=\u00a0\u00bbon\u00a0\u00bb box_shadow_horizontal_tablet=\u00a0\u00bb0px\u00a0\u00bb box_shadow_vertical_tablet=\u00a0\u00bb0px\u00a0\u00bb box_shadow_blur_tablet=\u00a0\u00bb40px\u00a0\u00bb box_shadow_spread_tablet=\u00a0\u00bb0px\u00a0\u00bb z_index_tablet=\u00a0\u00bb500″ \/][et_pb_text _builder_version=\u00a0\u00bb3.26.2″ text_text_shadow_horizontal_length=\u00a0\u00bbtext_text_shadow_style,%91object Object%93″ text_text_shadow_horizontal_length_tablet=\u00a0\u00bb0px\u00a0\u00bb text_text_shadow_vertical_length=\u00a0\u00bbtext_text_shadow_style,%91object Object%93″ text_text_shadow_vertical_length_tablet=\u00a0\u00bb0px\u00a0\u00bb text_text_shadow_blur_strength=\u00a0\u00bbtext_text_shadow_style,%91object Object%93″ text_text_shadow_blur_strength_tablet=\u00a0\u00bb1px\u00a0\u00bb link_text_shadow_horizontal_length=\u00a0\u00bblink_text_shadow_style,%91object Object%93″ link_text_shadow_horizontal_length_tablet=\u00a0\u00bb0px\u00a0\u00bb link_text_shadow_vertical_length=\u00a0\u00bblink_text_shadow_style,%91object Object%93″ link_text_shadow_vertical_length_tablet=\u00a0\u00bb0px\u00a0\u00bb link_text_shadow_blur_strength=\u00a0\u00bblink_text_shadow_style,%91object Object%93″ link_text_shadow_blur_strength_tablet=\u00a0\u00bb1px\u00a0\u00bb ul_text_shadow_horizontal_length=\u00a0\u00bbul_text_shadow_style,%91object Object%93″ ul_text_shadow_horizontal_length_tablet=\u00a0\u00bb0px\u00a0\u00bb ul_text_shadow_vertical_length=\u00a0\u00bbul_text_shadow_style,%91object Object%93″ ul_text_shadow_vertical_length_tablet=\u00a0\u00bb0px\u00a0\u00bb ul_text_shadow_blur_strength=\u00a0\u00bbul_text_shadow_style,%91object Object%93″ ul_text_shadow_blur_strength_tablet=\u00a0\u00bb1px\u00a0\u00bb ol_text_shadow_horizontal_length=\u00a0\u00bbol_text_shadow_style,%91object Object%93″ ol_text_shadow_horizontal_length_tablet=\u00a0\u00bb0px\u00a0\u00bb ol_text_shadow_vertical_length=\u00a0\u00bbol_text_shadow_style,%91object Object%93″ ol_text_shadow_vertical_length_tablet=\u00a0\u00bb0px\u00a0\u00bb ol_text_shadow_blur_strength=\u00a0\u00bbol_text_shadow_style,%91object Object%93″ ol_text_shadow_blur_strength_tablet=\u00a0\u00bb1px\u00a0\u00bb quote_text_shadow_horizontal_length=\u00a0\u00bbquote_text_shadow_style,%91object Object%93″ quote_text_shadow_horizontal_length_tablet=\u00a0\u00bb0px\u00a0\u00bb quote_text_shadow_vertical_length=\u00a0\u00bbquote_text_shadow_style,%91object Object%93″ quote_text_shadow_vertical_length_tablet=\u00a0\u00bb0px\u00a0\u00bb quote_text_shadow_blur_strength=\u00a0\u00bbquote_text_shadow_style,%91object Object%93″ quote_text_shadow_blur_strength_tablet=\u00a0\u00bb1px\u00a0\u00bb header_text_shadow_horizontal_length=\u00a0\u00bbheader_text_shadow_style,%91object Object%93″ header_text_shadow_horizontal_length_tablet=\u00a0\u00bb0px\u00a0\u00bb header_text_shadow_vertical_length=\u00a0\u00bbheader_text_shadow_style,%91object Object%93″ header_text_shadow_vertical_length_tablet=\u00a0\u00bb0px\u00a0\u00bb header_text_shadow_blur_strength=\u00a0\u00bbheader_text_shadow_style,%91object Object%93″ header_text_shadow_blur_strength_tablet=\u00a0\u00bb1px\u00a0\u00bb header_2_text_shadow_horizontal_length=\u00a0\u00bbheader_2_text_shadow_style,%91object Object%93″ header_2_text_shadow_horizontal_length_tablet=\u00a0\u00bb0px\u00a0\u00bb header_2_text_shadow_vertical_length=\u00a0\u00bbheader_2_text_shadow_style,%91object Object%93″ header_2_text_shadow_vertical_length_tablet=\u00a0\u00bb0px\u00a0\u00bb header_2_text_shadow_blur_strength=\u00a0\u00bbheader_2_text_shadow_style,%91object Object%93″ header_2_text_shadow_blur_strength_tablet=\u00a0\u00bb1px\u00a0\u00bb header_3_text_shadow_horizontal_length=\u00a0\u00bbheader_3_text_shadow_style,%91object Object%93″ header_3_text_shadow_horizontal_length_tablet=\u00a0\u00bb0px\u00a0\u00bb header_3_text_shadow_vertical_length=\u00a0\u00bbheader_3_text_shadow_style,%91object Object%93″ header_3_text_shadow_vertical_length_tablet=\u00a0\u00bb0px\u00a0\u00bb header_3_text_shadow_blur_strength=\u00a0\u00bbheader_3_text_shadow_style,%91object Object%93″ header_3_text_shadow_blur_strength_tablet=\u00a0\u00bb1px\u00a0\u00bb header_4_text_shadow_horizontal_length=\u00a0\u00bbheader_4_text_shadow_style,%91object Object%93″ header_4_text_shadow_horizontal_length_tablet=\u00a0\u00bb0px\u00a0\u00bb header_4_text_shadow_vertical_length=\u00a0\u00bbheader_4_text_shadow_style,%91object Object%93″ header_4_text_shadow_vertical_length_tablet=\u00a0\u00bb0px\u00a0\u00bb header_4_text_shadow_blur_strength=\u00a0\u00bbheader_4_text_shadow_style,%91object Object%93″ header_4_text_shadow_blur_strength_tablet=\u00a0\u00bb1px\u00a0\u00bb header_5_text_shadow_horizontal_length=\u00a0\u00bbheader_5_text_shadow_style,%91object Object%93″ header_5_text_shadow_horizontal_length_tablet=\u00a0\u00bb0px\u00a0\u00bb header_5_text_shadow_vertical_length=\u00a0\u00bbheader_5_text_shadow_style,%91object Object%93″ header_5_text_shadow_vertical_length_tablet=\u00a0\u00bb0px\u00a0\u00bb header_5_text_shadow_blur_strength=\u00a0\u00bbheader_5_text_shadow_style,%91object Object%93″ header_5_text_shadow_blur_strength_tablet=\u00a0\u00bb1px\u00a0\u00bb header_6_text_shadow_horizontal_length=\u00a0\u00bbheader_6_text_shadow_style,%91object Object%93″ header_6_text_shadow_horizontal_length_tablet=\u00a0\u00bb0px\u00a0\u00bb header_6_text_shadow_vertical_length=\u00a0\u00bbheader_6_text_shadow_style,%91object Object%93″ header_6_text_shadow_vertical_length_tablet=\u00a0\u00bb0px\u00a0\u00bb header_6_text_shadow_blur_strength=\u00a0\u00bbheader_6_text_shadow_style,%91object Object%93″ header_6_text_shadow_blur_strength_tablet=\u00a0\u00bb1px\u00a0\u00bb box_shadow_horizontal_tablet=\u00a0\u00bb0px\u00a0\u00bb box_shadow_vertical_tablet=\u00a0\u00bb0px\u00a0\u00bb box_shadow_blur_tablet=\u00a0\u00bb40px\u00a0\u00bb box_shadow_spread_tablet=\u00a0\u00bb0px\u00a0\u00bb z_index_tablet=\u00a0\u00bb500″]<\/p>\n

      Cette fonction permet ainsi d\u2019\u00e9conomiser du temps pour l\u2019ajout de plusieurs Inspectors \u00e0 chaque endroit o\u00f9 nous souhaitons visualiser la donn\u00e9e, comme ce qui aurait \u00e9t\u00e9 le cas dans les \u00e9ditions pr\u00e9c\u00e9dentes :<\/p>\n

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header_6_text_shadow_blur_strength_tablet=\u00a0\u00bb1px\u00a0\u00bb box_shadow_horizontal_tablet=\u00a0\u00bb0px\u00a0\u00bb box_shadow_vertical_tablet=\u00a0\u00bb0px\u00a0\u00bb box_shadow_blur_tablet=\u00a0\u00bb40px\u00a0\u00bb box_shadow_spread_tablet=\u00a0\u00bb0px\u00a0\u00bb z_index_tablet=\u00a0\u00bb500″]<\/p>\n

      2. R\u00e9aliser des ex\u00e9cutions partielles du processus<\/h3>\n

      En conservant ainsi les donn\u00e9es en m\u00e9moire cache, il est \u00e9galement possible de lancer uniquement certaines portions d\u2019un workspace (ex\u00e9cutions partielles). Cette fonction permet d\u2019\u00e9conomiser beaucoup de temps car jusqu\u2019\u00e0 la version 2018 de FME, il \u00e9tait n\u00e9cessaire de lancer un workspace FME depuis le d\u00e9but du processus afin de tester chaque modification que l\u2019on faisait.<\/p>\n

      Ainsi avant 2018, si nous faisions une modification au AreaCalculator, nous devions d\u00e9sactiver le Transformer subs\u00e9quent, ajouter un Inspector au AreaCalculator pour voir le r\u00e9sultat de mon processus.<\/p>\n

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header_6_text_shadow_blur_strength_tablet=\u00a0\u00bb1px\u00a0\u00bb box_shadow_horizontal_tablet=\u00a0\u00bb0px\u00a0\u00bb box_shadow_vertical_tablet=\u00a0\u00bb0px\u00a0\u00bb box_shadow_blur_tablet=\u00a0\u00bb40px\u00a0\u00bb box_shadow_spread_tablet=\u00a0\u00bb0px\u00a0\u00bb z_index_tablet=\u00a0\u00bb500″]<\/p>\n

      Maintenant, avec le FeatureCaching, si nous faisons une modification au AreaCalculator, nous avons l\u2019option de ne lancer que la transformation apport\u00e9e par ce Transformer en s\u00e9lectionnant l\u2019option \u00ab Run To This \u00bb. Il faut d\u2019abord s\u00e9lectionner le Transformer et l\u2019option appara\u00eetra au-dessus. Noter que lorsqu\u2019une modification est effectu\u00e9e, la loupe verte devient jaune, ce qui signifie que les donn\u00e9es en cache ne repr\u00e9sentent plus le r\u00e9sultat des param\u00e8tres du Transformer.<\/p>\n

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header_5_text_shadow_blur_strength_tablet=\u00a0\u00bb1px\u00a0\u00bb header_6_text_shadow_horizontal_length=\u00a0\u00bbheader_6_text_shadow_style,%91object Object%93″ header_6_text_shadow_horizontal_length_tablet=\u00a0\u00bb0px\u00a0\u00bb header_6_text_shadow_vertical_length=\u00a0\u00bbheader_6_text_shadow_style,%91object Object%93″ header_6_text_shadow_vertical_length_tablet=\u00a0\u00bb0px\u00a0\u00bb header_6_text_shadow_blur_strength=\u00a0\u00bbheader_6_text_shadow_style,%91object Object%93″ header_6_text_shadow_blur_strength_tablet=\u00a0\u00bb1px\u00a0\u00bb box_shadow_horizontal_tablet=\u00a0\u00bb0px\u00a0\u00bb box_shadow_vertical_tablet=\u00a0\u00bb0px\u00a0\u00bb box_shadow_blur_tablet=\u00a0\u00bb40px\u00a0\u00bb box_shadow_spread_tablet=\u00a0\u00bb0px\u00a0\u00bb z_index_tablet=\u00a0\u00bb500″]<\/p>\n

      En choisissant cette option, il n\u2019y a que la portion surlign\u00e9e en vert (ci-haut) qui est ex\u00e9cut\u00e9e. Il s\u2019agit de la section \u00e0 r\u00e9aliser depuis la derni\u00e8re mise en cache. Si une modification avait \u00e9galement \u00e9t\u00e9 apport\u00e9e au AttributeManager, la section surlign\u00e9e en vert serait plus longue.<\/p>\n

      [\/et_pb_text][et_pb_image _builder_version=\u00a0\u00bb3.26.2″ src=\u00a0\u00bbhttps:\/\/consortech.com\/wp-content\/uploads\/2019\/07\/1-8.png\u00a0\u00bb show_in_lightbox=\u00a0\u00bbon\u00a0\u00bb box_shadow_horizontal_tablet=\u00a0\u00bb0px\u00a0\u00bb box_shadow_vertical_tablet=\u00a0\u00bb0px\u00a0\u00bb box_shadow_blur_tablet=\u00a0\u00bb40px\u00a0\u00bb box_shadow_spread_tablet=\u00a0\u00bb0px\u00a0\u00bb z_index_tablet=\u00a0\u00bb500″ \/][et_pb_text _builder_version=\u00a0\u00bb3.26.2″ text_text_shadow_horizontal_length=\u00a0\u00bbtext_text_shadow_style,%91object Object%93″ text_text_shadow_horizontal_length_tablet=\u00a0\u00bb0px\u00a0\u00bb text_text_shadow_vertical_length=\u00a0\u00bbtext_text_shadow_style,%91object Object%93″ text_text_shadow_vertical_length_tablet=\u00a0\u00bb0px\u00a0\u00bb text_text_shadow_blur_strength=\u00a0\u00bbtext_text_shadow_style,%91object Object%93″ text_text_shadow_blur_strength_tablet=\u00a0\u00bb1px\u00a0\u00bb 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header_3_text_shadow_horizontal_length_tablet=\u00a0\u00bb0px\u00a0\u00bb header_3_text_shadow_vertical_length=\u00a0\u00bbheader_3_text_shadow_style,%91object Object%93″ header_3_text_shadow_vertical_length_tablet=\u00a0\u00bb0px\u00a0\u00bb header_3_text_shadow_blur_strength=\u00a0\u00bbheader_3_text_shadow_style,%91object Object%93″ header_3_text_shadow_blur_strength_tablet=\u00a0\u00bb1px\u00a0\u00bb header_4_text_shadow_horizontal_length=\u00a0\u00bbheader_4_text_shadow_style,%91object Object%93″ header_4_text_shadow_horizontal_length_tablet=\u00a0\u00bb0px\u00a0\u00bb header_4_text_shadow_vertical_length=\u00a0\u00bbheader_4_text_shadow_style,%91object Object%93″ header_4_text_shadow_vertical_length_tablet=\u00a0\u00bb0px\u00a0\u00bb header_4_text_shadow_blur_strength=\u00a0\u00bbheader_4_text_shadow_style,%91object Object%93″ header_4_text_shadow_blur_strength_tablet=\u00a0\u00bb1px\u00a0\u00bb 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header_6_text_shadow_blur_strength_tablet=\u00a0\u00bb1px\u00a0\u00bb box_shadow_horizontal_tablet=\u00a0\u00bb0px\u00a0\u00bb box_shadow_vertical_tablet=\u00a0\u00bb0px\u00a0\u00bb box_shadow_blur_tablet=\u00a0\u00bb40px\u00a0\u00bb box_shadow_spread_tablet=\u00a0\u00bb0px\u00a0\u00bb z_index_tablet=\u00a0\u00bb500″]<\/p>\n

      Par la suite, nous pouvons consulter le r\u00e9sultat en cliquant sur la loupe verte. Nous passons alors d\u2019un traitement d\u2019une dur\u00e9e de 0.9 secondes \u00e0 partir du d\u00e9but, \u00e0 une portion de 0.2 secondes que pour le calcul du AreaCalculator. Dans cet exemple, la diff\u00e9rence de temps n\u2019est pas exceptionnelle car le d\u00e9but du traitement est l\u00e9ger, mais dans d\u2019autres cas, c\u2019est beaucoup plus significatif.<\/p>\n

      Une autre option est offerte \u00e0 c\u00f4t\u00e9 de \u00ab Run To This \u00bb, soit son compl\u00e9ment : \u00ab Run From This \u00bb.<\/p>\n

      \"\"<\/a><\/p>\n

      Cette option permet d\u2019effectuer l\u2019op\u00e9ration compl\u00e9mentaire, soit lancer la section subs\u00e9quente au Transformer s\u00e9lectionn\u00e9. La portion affect\u00e9e par cette op\u00e9ration est \u00e9galement surlign\u00e9e en vert.<\/p>\n

      [\/et_pb_text][et_pb_image _builder_version=\u00a0\u00bb3.26.2″ src=\u00a0\u00bbhttps:\/\/consortech.com\/wp-content\/uploads\/2019\/07\/1-10.png\u00a0\u00bb show_in_lightbox=\u00a0\u00bbon\u00a0\u00bb box_shadow_horizontal_tablet=\u00a0\u00bb0px\u00a0\u00bb box_shadow_vertical_tablet=\u00a0\u00bb0px\u00a0\u00bb box_shadow_blur_tablet=\u00a0\u00bb40px\u00a0\u00bb box_shadow_spread_tablet=\u00a0\u00bb0px\u00a0\u00bb z_index_tablet=\u00a0\u00bb500″ \/][et_pb_text _builder_version=\u00a0\u00bb3.26.2″ text_text_shadow_horizontal_length=\u00a0\u00bbtext_text_shadow_style,%91object Object%93″ text_text_shadow_horizontal_length_tablet=\u00a0\u00bb0px\u00a0\u00bb text_text_shadow_vertical_length=\u00a0\u00bbtext_text_shadow_style,%91object Object%93″ text_text_shadow_vertical_length_tablet=\u00a0\u00bb0px\u00a0\u00bb text_text_shadow_blur_strength=\u00a0\u00bbtext_text_shadow_style,%91object Object%93″ text_text_shadow_blur_strength_tablet=\u00a0\u00bb1px\u00a0\u00bb 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header_3_text_shadow_horizontal_length_tablet=\u00a0\u00bb0px\u00a0\u00bb header_3_text_shadow_vertical_length=\u00a0\u00bbheader_3_text_shadow_style,%91object Object%93″ header_3_text_shadow_vertical_length_tablet=\u00a0\u00bb0px\u00a0\u00bb header_3_text_shadow_blur_strength=\u00a0\u00bbheader_3_text_shadow_style,%91object Object%93″ header_3_text_shadow_blur_strength_tablet=\u00a0\u00bb1px\u00a0\u00bb header_4_text_shadow_horizontal_length=\u00a0\u00bbheader_4_text_shadow_style,%91object Object%93″ header_4_text_shadow_horizontal_length_tablet=\u00a0\u00bb0px\u00a0\u00bb header_4_text_shadow_vertical_length=\u00a0\u00bbheader_4_text_shadow_style,%91object Object%93″ header_4_text_shadow_vertical_length_tablet=\u00a0\u00bb0px\u00a0\u00bb header_4_text_shadow_blur_strength=\u00a0\u00bbheader_4_text_shadow_style,%91object Object%93″ header_4_text_shadow_blur_strength_tablet=\u00a0\u00bb1px\u00a0\u00bb 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header_6_text_shadow_blur_strength_tablet=\u00a0\u00bb1px\u00a0\u00bb box_shadow_horizontal_tablet=\u00a0\u00bb0px\u00a0\u00bb box_shadow_vertical_tablet=\u00a0\u00bb0px\u00a0\u00bb box_shadow_blur_tablet=\u00a0\u00bb40px\u00a0\u00bb box_shadow_spread_tablet=\u00a0\u00bb0px\u00a0\u00bb z_index_tablet=\u00a0\u00bb500″]<\/p>\n

      En r\u00e9sum\u00e9, voici les meilleures situations pour utiliser le Feature Caching :<\/h3>\n
        \n
      • – En phase de d\u00e9veloppement seulement. Il est inutile de conserver toutes les donn\u00e9es en caches lorsque le workspace est op\u00e9rationel en production<\/li>\n
      • Lorsque le workspace prend beaucoup de temps \u00e0 rouler et que vous testez des modifications r\u00e9alis\u00e9es au milieu ou \u00e0 la fin du workspace. Vous \u00e9conomiserez ainsi tout le temps n\u00e9cessaire \u00e0 compl\u00e9ter les premi\u00e8res \u00e9tapes du workspace.<\/li>\n
      • Les requ\u00eates effectu\u00e9es sur le web (via le HTTPCaller par exemple) sont de bons candidats au Feature Caching en d\u00e9veloppement. Auparavant en p\u00e9riode de test, il \u00e9tait n\u00e9cessaire de refaire la requ\u00eate HTTP \u00e0 chaque fois. Maintenant avec le feature caching, il est possible de tester et de compl\u00e9ter le reste du workspace sans relancer la m\u00eame requ\u00eate \u00e0 chaque fois, ce qui peut parfois \u00e9conomiser de pr\u00e9cieuses minutes.<\/li>\n<\/ul>\n

        \u00c0 \u00e9viter avec le Feature Caching :<\/h3>\n

        Les trop grands jeux de donn\u00e9es. L\u2019accumulation de plusieurs milliers d\u2019entit\u00e9s en m\u00e9moire va ralentir la performance du workspace. Si les jeux de donn\u00e9es sont volumineux, il est plus int\u00e9ressant de r\u00e9duire le nombre d\u2019entit\u00e9s lues durant la phase de d\u00e9veloppement (param\u00e8tre \u00ab Max Features To Read \u00bb du Reader dans la fen\u00eatre du Navigator).<\/p>\n

        \u00a0<\/p>\n

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        Vous cherchez \u00e0 optimiser vos workspaces?<\/p>\n

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