{"id":254,"date":"2015-08-05T14:59:29","date_gmt":"2015-08-05T14:59:29","guid":{"rendered":"http:\/\/www.tiagoneves.net\/blog\/?p=254"},"modified":"2015-08-05T14:59:29","modified_gmt":"2015-08-05T14:59:29","slug":"encontrando-indices-nao-utilizados","status":"publish","type":"post","link":"https:\/\/www.tiagoneves.net\/blog\/encontrando-indices-nao-utilizados\/","title":{"rendered":"Encontrando \u00edndices n\u00e3o utilizados"},"content":{"rendered":"

Ol\u00e1 pessoal,<\/p>\n

Neste post irei compartilhar um script que nos auxilia a melhorar a performance das consultas que s\u00e3o executadas em nossa inst\u00e2ncia, mostrando \u00edndices que poderiam ser criados para melhorar a performance.<\/p>\n

Demonstra\u00e7\u00e3o:<\/p>\n

CREATE TABLE t1 (\r\n    c1 INT IDENTITY,\r\n    c2 AS c1 * 2,\r\n    c3 AS c1 + c1,\r\n    c4 CHAR (3000) DEFAULT 'a');\r\nGO\r\nCREATE UNIQUE CLUSTERED INDEX t1_clus ON t1 (c1);\r\nGO\r\n\r\n--Insert 100000 linhas\r\n\r\nSET NOCOUNT ON;\r\nGO\r\nINSERT INTO t1 DEFAULT VALUES;\r\nGO 100000\r\n\r\n--Select com a op\u00e7\u00e3o (include Actual Execution Plan Ctrl + M)\r\n\r\nSELECT * FROM t1\r\n    WHERE c2 BETWEEN 10 AND 1000\r\n    AND c3 > 1000;\r\n<\/pre>\n
Ao executar a query acima teremos o seguinte plano de execu\u00e7\u00e3o.<\/p>\n
\"missing_index\"<\/a><\/p>\n
No plano de execu\u00e7\u00e3o o SQLServer nos sugere a cria\u00e7\u00e3o de um \u00edndice na tabela T1, usando as colunas C2 e C3, incluindo as colunas C1 e C4.<\/p>\n
Depois que voc\u00ea executa a query, voc\u00ea consegue recuperar essas sugest\u00f5es de \u00edndice utilizando algumas DVM (dynamic management views).<\/p>\n
No script abaixo teremos informa\u00e7\u00f5es sobre qual impacto do \u00edndice, quais campos a ser adicionado no include, contagem de UserSeek e o script para cria\u00e7\u00e3o do \u00edndice.<\/p>\n
No script vamos usar as DMVs:<\/p>\n
sys.dm_db_missing_index_details<\/em><\/a> \u2013 Retorna informa\u00e7\u00f5es detalhadas sobre os \u00edndices ausentes, incluindo tabelas e colunas, a DMV exclui sugest\u00e3o de \u00edndices espaciais.<\/p>\n
sys.dm_db_missing_index_group_stats<\/em><\/a> \u2013 Retorna informa\u00e7\u00f5es sobre um grupo de \u00edndices ausentes, que com as atualiza\u00e7\u00f5es a cada consulta.<\/p>\n
sys.dm_db_missing_index_groups<\/em><\/a> \u2013 Retorna informa\u00e7\u00f5es de um \u00edndices contido em um grupo de \u00edndices.<\/p>\n
SELECT CAST(SERVERPROPERTY('ServerName') AS [nvarchar](256)) AS [SQLServer]\r\n    ,db.[database_id] AS [DatabaseID]\r\n    ,db.[name] AS [DatabaseName]\r\n    ,id.[object_id] AS [ObjectID]\r\n    ,id.[statement] AS [FullyQualifiedObjectName]\r\n    ,id.[equality_columns] AS [EqualityColumns]\r\n    ,id.[inequality_columns] AS [InEqualityColumns]\r\n    ,id.[included_columns] AS [IncludedColumns]\r\n    ,gs.[unique_compiles] AS [UniqueCompiles]\r\n    ,gs.[user_seeks] AS [UserSeeks]\r\n    ,gs.[user_scans] AS [UserScans]\r\n    ,gs.[last_user_seek] AS [LastUserSeekTime]\r\n    ,gs.[last_user_scan] AS [LastUserScanTime]\r\n    ,gs.[avg_total_user_cost] AS [AvgTotalUserCost]\r\n    ,gs.[avg_user_impact] AS [AvgUserImpact]\r\n    ,gs.[system_seeks] AS [SystemSeeks]\r\n    ,gs.[system_scans] AS [SystemScans]\r\n    ,gs.[last_system_seek] AS [LastSystemSeekTime]\r\n    ,gs.[last_system_scan] AS [LastSystemScanTime]\r\n    ,gs.[avg_total_system_cost] AS [AvgTotalSystemCost]\r\n    ,gs.[avg_system_impact] AS [AvgSystemImpact]\r\n    ,gs.[user_seeks] * gs.[avg_total_user_cost] * (gs.[avg_user_impact] * 0.01) AS [IndexAdvantage]\r\n    ,'CREATE INDEX [IX_' + OBJECT_NAME(id.[object_id], db.[database_id]) + '_' + REPLACE(REPLACE(REPLACE(ISNULL(id.[equality_columns], ''), ', ', '_'), '[', ''), ']', '') + CASE\r\n        WHEN id.[equality_columns] IS NOT NULL\r\n            AND id.[inequality_columns] IS NOT NULL\r\n            THEN '_'\r\n        ELSE ''\r\n        END + REPLACE(REPLACE(REPLACE(ISNULL(id.[inequality_columns], ''), ', ', '_'), '[', ''), ']', '') + '_' + LEFT(CAST(NEWID() AS [nvarchar](64)), 5) + ']' + ' ON ' + id.[statement] + ' (' + ISNULL(id.[equality_columns], '') + CASE\r\n        WHEN id.[equality_columns] IS NOT NULL\r\n            AND id.[inequality_columns] IS NOT NULL\r\n            THEN ','\r\n        ELSE ''\r\n        END + ISNULL(id.[inequality_columns], '') + ')' + ISNULL(' INCLUDE (' + id.[included_columns] + ')', '') AS [ProposedIndex]\r\n    ,CAST(CURRENT_TIMESTAMP AS [smalldatetime]) AS [CollectionDate]\r\nFROM [sys].[dm_db_missing_index_group_stats] gs WITH (NOLOCK)\r\nINNER JOIN [sys].[dm_db_missing_index_groups] ig WITH (NOLOCK)\r\n    ON gs.[group_handle] = ig.[index_group_handle]\r\nINNER JOIN [sys].[dm_db_missing_index_details] id WITH (NOLOCK)\r\n    ON ig.[index_handle] = id.[index_handle]\r\nINNER JOIN [sys].[databases] db WITH (NOLOCK)\r\n    ON db.[database_id] = id.[database_id]\r\nWHERE id.[database_id] > 4\r\n--and gs.[last_user_seek] >= '20150803 13:00'\r\n--and OBJECT_NAME(id.OBJECT_ID,id.database_id) = 't1'\r\nORDER BY [IndexAdvantage] DESC\r\nOPTION (RECOMPILE);<\/pre>\n
\"missing_index3\"<\/a> \"missing_index3_1\"<\/a> \"missing_index3_2\"<\/a><\/p>\n
Para visualizar as informa\u00e7\u00f5es das DMVs, voc\u00ea dever\u00e1 ser Sysadmin ou ter permiss\u00e3o VIEW SERVER STATE.<\/p>\n
Esses \u00edndices ausentes s\u00e3o os que o otimizador de consulta do SQL Server identifica durante as execu\u00e7\u00f5es de consultas e ficam armazenados nos planos de execu\u00e7\u00e3o, lembrando que o cache \u00e9 limpo sempre que o SQL Server for reiniciado, antes de criar os \u00edndices \u00e9 recomendado verificar se realmente o \u00edndice \u00e9 necess\u00e1rio..<\/p>\n
At\u00e9 a pr\u00f3xima.<\/p>\n","protected":false},"excerpt":{"rendered":"
Ol\u00e1 pessoal, Neste post irei compartilhar um script que nos auxilia a melhorar a performance das consultas que s\u00e3o executadas em nossa inst\u00e2ncia, mostrando \u00edndices que poderiam ser criados para melhorar a performance. Demonstra\u00e7\u00e3o: CREATE TABLE t1 ( c1 INT IDENTITY, c2 AS c1 * 2, c3 AS c1 + c1, c4 CHAR (3000) DEFAULT […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"rop_custom_images_group":[],"rop_custom_messages_group":[],"rop_publish_now":"initial","rop_publish_now_accounts":{"twitter_91251433_91251433":""},"rop_publish_now_history":[],"rop_publish_now_status":"pending","_exactmetrics_skip_tracking":false,"_exactmetrics_sitenote_active":false,"_exactmetrics_sitenote_note":"","_exactmetrics_sitenote_category":0,"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"advanced_seo_description":"","jetpack_seo_html_title":"","jetpack_seo_noindex":false,"jetpack_post_was_ever_published":false,"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":true,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2},"_wpscppro_dont_share_socialmedia":false,"_wpscppro_custom_social_share_image":0,"_facebook_share_type":"","_twitter_share_type":"","_linkedin_share_type":"","_pinterest_share_type":"","_linkedin_share_type_page":"","_instagram_share_type":"","_medium_share_type":"","_threads_share_type":"","_google_business_share_type":"","_selected_social_profile":[],"_wpsp_enable_custom_social_template":false,"_wpsp_social_scheduling":{"enabled":false,"datetime":null,"platforms":[],"status":"template_only","dateOption":"today","timeOption":"now","customDays":"","customHours":"","customDate":"","customTime":"","schedulingType":"absolute"},"_wpsp_active_default_template":true},"categories":[4,20],"tags":[56,57,58,55,54],"class_list":["post-254","post","type-post","status-publish","format-standard","hentry","category-scripts","category-sqlserver-geral","tag-dm_db_missing_index_details","tag-dm_db_missing_index_groups","tag-dm_db_missing_index_group_stats","tag-indices","tag-performance"],"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"jetpack_shortlink":"https:\/\/wp.me\/p6eIyh-46","jetpack-related-posts":[{"id":2414,"url":"https:\/\/www.tiagoneves.net\/blog\/sql-server-2016-esta-chegando-ao-fim-do-suporte-o-que-isso-significa-na-pratica\/","url_meta":{"origin":254,"position":0},"title":"SQL Server 2016 est\u00e1 chegando ao fim do suporte: o que isso significa na pr\u00e1tica?","author":"tiagoneves","date":"27 de abril de 2026","format":false,"excerpt":"O SQL Server 2016 ter\u00e1 seu suporte estendido encerrado em 14 de julho de 2026, o que resultar\u00e1 na falta de atualiza\u00e7\u00f5es de seguran\u00e7a e suporte. 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