{"id":7261,"date":"2019-01-06T14:39:53","date_gmt":"2019-01-06T14:39:53","guid":{"rendered":"https:\/\/dbtut.com\/?p=7261"},"modified":"2019-01-07T20:14:10","modified_gmt":"2019-01-07T20:14:10","slug":"group-by-clause-sum-max-min-avg-count-and-count_big-functions-in-sql-server-tsql","status":"publish","type":"post","link":"https:\/\/dbtut.com\/index.php\/2019\/01\/06\/group-by-clause-sum-max-min-avg-count-and-count_big-functions-in-sql-server-tsql\/","title":{"rendered":"Group By Clause, SUM, MAX, MIN, AVG, COUNT and COUNT_BIG Functions in SQL Server(TSQL)"},"content":{"rendered":"<p>&nbsp;<\/p>\n<p>When reading data from the database, we can use GROUP BY clause when we want to group data and process on the groups we specify.<\/p>\n<p>Let&#8217;s make examples for a better understanding of Group By clause.<\/p>\n<p><strong>Example:<\/strong><\/p>\n<p>First, we create a table with the help of the following script and add a few records into this table.<\/p>\n<pre class=\"lang:default decode:true\">USE [TestDB]\r\nGO\r\nCREATE TABLE [dbo].[ProductTable](\r\n[ID] [int] IDENTITY(1,1) NOT NULL,\r\n[ProductName] [varchar](250) NOT NULL,\r\n[ProductPrice] [int] NOT NULL\r\n) ON [PRIMARY]\r\nGO\r\nINSERT INTO [dbo].[ProductTable] VALUES ('Television',3400),\r\n('Television',4300),('Phone',6700),('Phone',9800)<\/pre>\n<p>Now with GROUP BY Clause, let&#8217;s write a few sample queries about the records in this table.<\/p>\n<p><strong>GROUP BY CLAUSE and SUM Function:<\/strong><\/p>\n<p>We group the data by ProductName and calculate the total price of the products in the same group with the following query.<\/p>\n<pre class=\"lang:default decode:true\">SELECT [ProductName],SUM(ProductPrice) FROM [dbo].[ProductTable]\r\nGROUP BY [ProductName]<\/pre>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"\" src=\"https:\/\/dbtut.com\/wp-content\/uploads\/2019\/01\/135.png\" width=\"556\" height=\"157\" \/><\/p>\n<p><strong>GROUP BY CLAUSE and MAX Function:<\/strong><\/p>\n<p>We group the data according to ProductName and find the the highest product price within the groups with the following query.<\/p>\n<pre class=\"lang:default decode:true\">SELECT [ProductName],MAX(ProductPrice) FROM [dbo].[ProductTable]\r\nGROUP BY [ProductName]<\/pre>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"\" src=\"https:\/\/dbtut.com\/wp-content\/uploads\/2019\/01\/428.png\" width=\"525\" height=\"157\" \/><\/p>\n<p><strong>GROUP BY CLAUSE and MIN Function:<\/strong><\/p>\n<p>We group the data according to ProductName and find the lowest product price within the groups with the following query.<\/p>\n<pre class=\"lang:default decode:true\">SELECT [ProductName],MIN(ProductPrice) FROM [dbo].[ProductTable]\r\nGROUP BY [ProductName]<\/pre>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"\" src=\"https:\/\/dbtut.com\/wp-content\/uploads\/2019\/01\/527.png\" width=\"547\" height=\"162\" \/><\/p>\n<p><strong>GROUP BY CLAUSE and AVG Function:<\/strong><\/p>\n<p>We group the data according to ProductName and find the average product price within the groups with the following query.<\/p>\n<pre class=\"lang:default decode:true\">SELECT [ProductName],AVG(ProductPrice) FROM [dbo].[ProductTable]\r\nGROUP BY [ProductName]<\/pre>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"\" src=\"https:\/\/dbtut.com\/wp-content\/uploads\/2019\/01\/297.png\" width=\"547\" height=\"169\" \/><\/p>\n<p><strong>GROUP BY CLAUSE and COUNT Function:<\/strong><\/p>\n<p>A\u015fa\u011f\u0131daki sorgu ile verileri ProductName&#8217;e g\u00f6re gruplayarak grupladaki \u00fcr\u00fcn say\u0131s\u0131n\u0131 buluyoruz.<\/p>\n<p>We group the data according to ProductName and find the number of products in the groups with the following query.<\/p>\n<pre class=\"lang:default decode:true\">SELECT [ProductName],COUNT(ProductPrice) FROM [dbo].[ProductTable]\r\nGROUP BY [ProductName]<\/pre>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"\" src=\"https:\/\/dbtut.com\/wp-content\/uploads\/2019\/01\/810.png\" width=\"567\" height=\"186\" \/><\/p>\n<p><strong>GROUP BY CLAUSE and COUNT_BIG Function:<\/strong><\/p>\n<p>The COUNT_BIG function performs the same function as the COUNT function. The only difference is that the COUNT_BIG function returns the BIGINT value while the COUNT function returns int value.<\/p>\n<p>We group the data according to ProductName and find the number of products in the groups with the following query.<\/p>\n<pre class=\"lang:default decode:true\">SELECT [ProductName],COUNT_BIG(ProductPrice) FROM [dbo].[ProductTable]\r\nGROUP BY [ProductName]<\/pre>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"\" src=\"https:\/\/dbtut.com\/wp-content\/uploads\/2019\/01\/396.png\" width=\"547\" height=\"154\" \/><\/p>\n<p style=\"margin: 0in; font-family: Georgia; font-size: 12.0pt;\"><strong>We can use these functions without using GROUP BY Clause as follows:<\/strong><\/p>\n<pre class=\"lang:default decode:true \">SELECT COUNT(ProductPrice) FROM [dbo].[ProductTable]<\/pre>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"\" src=\"https:\/\/dbtut.com\/wp-content\/uploads\/2019\/01\/178.png\" width=\"524\" height=\"179\" \/><\/p>\n<p>But if we want to use it with another column without grouping, the following error will occur.<\/p>\n<pre class=\"lang:default decode:true \">SELECT [ProductName],COUNT(ProductPrice) FROM [dbo].[ProductTable]<\/pre>\n<p style=\"margin: 0in; font-family: Georgia; font-size: 12.0pt;\"><em>Msg 8120, Level 16, State 1, Line 14<\/em><\/p>\n<p style=\"margin: 0in; font-family: Georgia; font-size: 12.0pt;\"><em>Column &#8221; is invalid in the select list because it is not contained in either an aggregate function or the GROUP BY clause.<\/em><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"\" src=\"https:\/\/dbtut.com\/wp-content\/uploads\/2019\/01\/742.png\" width=\"612\" height=\"147\" \/><\/p>\n<p>Even if we use GROUP BY, we get this error again if we type a column that we did not specify in GROUP BY without using one of the functions above.<\/p>\n<pre class=\"lang:default decode:true\">SELECT ID,[ProductName],COUNT_BIG(ProductPrice) FROM [dbo].[ProductTable]\r\nGROUP BY [ProductName]<\/pre>\n<p style=\"margin: 0in; font-family: Georgia; font-size: 12.0pt;\"><em>Msg 8120, Level 16, State 1, Line 14<\/em><\/p>\n<p style=\"margin: 0in; font-family: Georgia; font-size: 12.0pt;\"><em>Column &#8221; is invalid in the select list because it is not contained in either an aggregate function or the GROUP BY clause.<\/em><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"\" src=\"https:\/\/dbtut.com\/wp-content\/uploads\/2019\/01\/580.png\" width=\"635\" height=\"152\" \/><\/p>\n\n<div class=\"pvc_clear\"><\/div>\n<p id=\"pvc_stats_7261\" class=\"pvc_stats all  \" data-element-id=\"7261\" style=\"\"><i class=\"pvc-stats-icon medium\" aria-hidden=\"true\"><svg aria-hidden=\"true\" focusable=\"false\" data-prefix=\"far\" data-icon=\"chart-bar\" role=\"img\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" viewBox=\"0 0 512 512\" class=\"svg-inline--fa fa-chart-bar fa-w-16 fa-2x\"><path fill=\"currentColor\" d=\"M396.8 352h22.4c6.4 0 12.8-6.4 12.8-12.8V108.8c0-6.4-6.4-12.8-12.8-12.8h-22.4c-6.4 0-12.8 6.4-12.8 12.8v230.4c0 6.4 6.4 12.8 12.8 12.8zm-192 0h22.4c6.4 0 12.8-6.4 12.8-12.8V140.8c0-6.4-6.4-12.8-12.8-12.8h-22.4c-6.4 0-12.8 6.4-12.8 12.8v198.4c0 6.4 6.4 12.8 12.8 12.8zm96 0h22.4c6.4 0 12.8-6.4 12.8-12.8V204.8c0-6.4-6.4-12.8-12.8-12.8h-22.4c-6.4 0-12.8 6.4-12.8 12.8v134.4c0 6.4 6.4 12.8 12.8 12.8zM496 400H48V80c0-8.84-7.16-16-16-16H16C7.16 64 0 71.16 0 80v336c0 17.67 14.33 32 32 32h464c8.84 0 16-7.16 16-16v-16c0-8.84-7.16-16-16-16zm-387.2-48h22.4c6.4 0 12.8-6.4 12.8-12.8v-70.4c0-6.4-6.4-12.8-12.8-12.8h-22.4c-6.4 0-12.8 6.4-12.8 12.8v70.4c0 6.4 6.4 12.8 12.8 12.8z\" class=\"\"><\/path><\/svg><\/i> <img loading=\"lazy\" decoding=\"async\" width=\"16\" height=\"16\" alt=\"Loading\" src=\"https:\/\/dbtut.com\/wp-content\/plugins\/page-views-count\/ajax-loader-2x.gif\" border=0 \/><\/p>\n<div class=\"pvc_clear\"><\/div>\n","protected":false},"excerpt":{"rendered":"<p>&nbsp; When reading data from the database, we can use GROUP BY clause when we want to group data and process on the groups we specify. Let&#8217;s make examples for a better understanding of Group By clause. Example: First, we create a table with the help of the following script and add a few records &hellip;<\/p>\n<div class=\"pvc_clear\"><\/div>\n<p id=\"pvc_stats_7261\" class=\"pvc_stats all  \" data-element-id=\"7261\" style=\"\"><i class=\"pvc-stats-icon medium\" aria-hidden=\"true\"><svg aria-hidden=\"true\" focusable=\"false\" data-prefix=\"far\" data-icon=\"chart-bar\" role=\"img\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" viewBox=\"0 0 512 512\" class=\"svg-inline--fa fa-chart-bar fa-w-16 fa-2x\"><path fill=\"currentColor\" d=\"M396.8 352h22.4c6.4 0 12.8-6.4 12.8-12.8V108.8c0-6.4-6.4-12.8-12.8-12.8h-22.4c-6.4 0-12.8 6.4-12.8 12.8v230.4c0 6.4 6.4 12.8 12.8 12.8zm-192 0h22.4c6.4 0 12.8-6.4 12.8-12.8V140.8c0-6.4-6.4-12.8-12.8-12.8h-22.4c-6.4 0-12.8 6.4-12.8 12.8v198.4c0 6.4 6.4 12.8 12.8 12.8zm96 0h22.4c6.4 0 12.8-6.4 12.8-12.8V204.8c0-6.4-6.4-12.8-12.8-12.8h-22.4c-6.4 0-12.8 6.4-12.8 12.8v134.4c0 6.4 6.4 12.8 12.8 12.8zM496 400H48V80c0-8.84-7.16-16-16-16H16C7.16 64 0 71.16 0 80v336c0 17.67 14.33 32 32 32h464c8.84 0 16-7.16 16-16v-16c0-8.84-7.16-16-16-16zm-387.2-48h22.4c6.4 0 12.8-6.4 12.8-12.8v-70.4c0-6.4-6.4-12.8-12.8-12.8h-22.4c-6.4 0-12.8 6.4-12.8 12.8v70.4c0 6.4 6.4 12.8 12.8 12.8z\" class=\"\"><\/path><\/svg><\/i> <img loading=\"lazy\" decoding=\"async\" width=\"16\" height=\"16\" alt=\"Loading\" src=\"https:\/\/dbtut.com\/wp-content\/plugins\/page-views-count\/ajax-loader-2x.gif\" border=0 \/><\/p>\n<div class=\"pvc_clear\"><\/div>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"om_disable_all_campaigns":false,"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"_uf_show_specific_survey":0,"_uf_disable_surveys":false,"footnotes":""},"categories":[3,1596],"tags":[1618,1617,1615,1616,1613,1612,1614],"class_list":["post-7261","post","type-post","status-publish","format-standard","","category-mssql","category-tsql","tag-group-by-clause","tag-sql-avg-function","tag-sql-count-function","tag-sql-count_big-function","tag-sql-max-function","tag-sql-min-function","tag-sql-sum-function"],"aioseo_notices":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v24.9 - 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