{"id":98,"date":"2022-02-11T10:51:39","date_gmt":"2022-02-11T10:51:39","guid":{"rendered":"https:\/\/openquery.com\/?p=98"},"modified":"2022-02-28T13:55:58","modified_gmt":"2022-02-28T13:55:58","slug":"what-is-rank","status":"publish","type":"post","link":"https:\/\/openquery.com\/what-is-rank\/","title":{"rendered":"What Is Rank?"},"content":{"rendered":"\n<p>Introduced to SQL in 2005, the Rank function has become a hugely beneficial database tool, especially for composing reports based on database information.<\/p>\n\n\n\n<p>However, despite existing for nearly two decades, there is still a lot of confusion surrounding Rank and neighbor tool, Dense_Rank.<\/p>\n\n\n\n<p>So, to ensure you don\u2019t miss out on these awesome database management utensils, let\u2019s discuss what Rank is exactly, and, of course, how you can work it into your SQL statements and utilize it yourself. Sound good? Good. Let\u2019s get to it!<\/p>\n\n\n\n<div class=\"wp-block-image\"><figure class=\"aligncenter size-large\"><img decoding=\"async\" loading=\"lazy\" width=\"1024\" height=\"683\" src=\"https:\/\/openquery.com\/wp-content\/uploads\/2022\/02\/What-Is-Rank-1024x683.png\" alt=\"What Is Rank\" class=\"wp-image-102\" srcset=\"https:\/\/openquery.com\/wp-content\/uploads\/2022\/02\/What-Is-Rank-1024x683.png 1024w, https:\/\/openquery.com\/wp-content\/uploads\/2022\/02\/What-Is-Rank-300x200.png 300w, https:\/\/openquery.com\/wp-content\/uploads\/2022\/02\/What-Is-Rank-768x512.png 768w, https:\/\/openquery.com\/wp-content\/uploads\/2022\/02\/What-Is-Rank.png 1200w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/figure><\/div>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"the-rank-function-at-a-glance\"><strong>The Rank Function At A Glance<\/strong><\/h2>\n\n\n\n<p>Ranking in the context of databases is precisely what it sounds like. It\u2019s a tool in SQL that we can use to retrieve information and have it presented to us in a ranked order.&nbsp;<\/p>\n\n\n\n<p><a href=\"https:\/\/openquery.com\/what-is-a-query-in-sql\/\" target=\"_blank\" rel=\"noopener\"><\/a><a href=\"https:\/\/openquery.com\/what-is-a-query-in-sql\/\" target=\"_blank\" rel=\"noopener\"><\/a>We decide which data type or field is used to order the ranking when building our SQL query<strong>.<\/strong><\/strong><\/strong><\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"rank-vs-dense-rank-what-s-the-difference\"><strong>Rank vs Dense_Rank: What\u2019s The Difference?<\/strong><\/h2>\n\n\n\n<p>The fundamental difference between Rank and Dense_Rank is whether ties in the data used to rank a list are skipped in the ranking, which sounds far more confusing than it is. Here, I\u2019ll show you\u2026<\/p>\n\n\n\n<p>Let\u2019s say we\u2019re ranking five rows of data. For the sake of the example, we\u2019ll say that we\u2019re ranking the highest paid employees in a workplace, and we only need to know employee name and salary. Our results should come out looking like this\u2026<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table><tbody><tr><td><strong>Employee Name<\/strong><\/td><td><strong>Employee Salary<\/strong><\/td><td><strong>Rank<\/strong><\/td><\/tr><tr><td>Joe Bloggs<\/td><td>$70,000<\/td><td>1<\/td><\/tr><tr><td>Josephine Blaggs<\/td><td>$68,000<\/td><td>2<\/td><\/tr><tr><td>Jane Doe<\/td><td>$60,000<\/td><td>3<\/td><\/tr><tr><td>John Doe<\/td><td>$40,000<\/td><td>4<\/td><\/tr><tr><td>Homer Simpson<\/td><td>$39,000<\/td><td>5<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p>Pretty straightforward, but what happens if two of our 5 top-paid employees are on the same wage? Well, if we used the Rank keyword in our <a href=\"https:\/\/openquery.com\/what-is-a-query-in-sql\/\" target=\"_blank\" rel=\"noopener\">SQL query<\/a>, it would look a little something like this\u2026<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table><tbody><tr><td><strong>Employee Name<\/strong><\/td><td><strong>Employee Salary<\/strong><\/td><td><strong>Rank<\/strong><\/td><\/tr><tr><td>Joe Bloggs<\/td><td>$70,000<\/td><td>1<\/td><\/tr><tr><td>Josephine Blaggs<\/td><td>$70,000<\/td><td>1<\/td><\/tr><tr><td>Jane Doe<\/td><td>$60,000<\/td><td>3<\/td><\/tr><tr><td>John Doe<\/td><td>$40,000<\/td><td>4<\/td><\/tr><tr><td>Homer Simpson<\/td><td>$39,000<\/td><td>5<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p>This is what I mean by skipping rank. As the second employee is on the same wage as the first, they\u2019re both ranked as number 1, which causes the results to skip number 2 and move straight on to number 3.<\/p>\n\n\n\n<p>The Dense_Rank keyword, on the other hand, does <em>not<\/em> skip rank in the face of ties, meaning it would look like this\u2026<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table><tbody><tr><td><strong>Employee Name<\/strong><\/td><td><strong>Employee Salary<\/strong><\/td><td><strong>Rank<\/strong><\/td><\/tr><tr><td>Joe Bloggs<\/td><td>$70,000<\/td><td>1<\/td><\/tr><tr><td>Josephine Blaggs<\/td><td>$70,000<\/td><td>1<\/td><\/tr><tr><td>Jane Doe<\/td><td>$60,000<\/td><td>2<\/td><\/tr><tr><td>John Doe<\/td><td>$40,000<\/td><td>3<\/td><\/tr><tr><td>Homer Simpson<\/td><td>$39,000<\/td><td>4<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p>You see? Not so complicated after all. It\u2019s just easier to be shown than told.<\/p>\n\n\n\n<p>One last thing before we move on; as long as you get the syntax right, you can absolutely use both Rank and Dense_Rank in the same query, saving you from making two separate data requests.&nbsp;<\/p>\n\n\n\n<p>Now let\u2019s take a look at how these keywords are implemented in SQL syntax.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"sql-rank-syntax\"><strong>SQL Rank Syntax<\/strong><\/h2>\n\n\n\n<p>As we\u2019re posing a query here, we\u2019ll have to begin our data request the same way we do with all queries, and that\u2019s by telling our <a href=\"https:\/\/openquery.com\/what-is-sql-server\/\" target=\"_blank\" rel=\"noopener\">SQL server<\/a> what information (or fields) we want it to pull up for us, and from which table.<\/p>\n\n\n\n<p>This is done using the keyword, \u201cFrom\u201d, followed by a table name (we\u2019ll call ours tblEmployees) then \u201cSelect\u201d, followed by the desired fields.<\/p>\n\n\n\n<p>So, using our employee data example from earlier, let\u2019s say that, this time, we want all information fields to come up when we execute our SQL query, including Employee Name, Employee Gender, Employee Tenure, and Employee Salary.<\/p>\n\n\n\n<p>The first two lines of our query would look like this\u2026<\/p>\n\n\n\n<p><strong>From <\/strong>tblEmployees<\/p>\n\n\n\n<p><strong>SELECT<\/strong> *,<\/p>\n\n\n\n<p>The asterisk is just a quick way of asking for all the fields to be included in a query, saving us from typing them out individually.&nbsp;<\/p>\n\n\n\n<p>Next up, we have to introduce the Rank or Dense Rank keyword, followed by a pair of brackets, and then the \u201cOver\u201d keyword, leaving our query looking like this\u2026<\/p>\n\n\n\n<p><strong>From <\/strong>tblEmployees<\/p>\n\n\n\n<p><strong>SELECT<\/strong> *,<\/p>\n\n\n\n<p><strong>RANK <\/strong>() <strong>OVER<\/strong><\/p>\n\n\n\n<p>In this example, I have chosen Rank over Dense Rank.<\/p>\n\n\n\n<p>The \u201cOver\u201d keyword is like a bridge connecting our demand that information be ranked, to the data it should be ranked <em>by<\/em>. So, now we have to establish what data that is.&nbsp;<\/p>\n\n\n\n<p>In this scenario, we want our employees ranked by salary, and we do that by opening some brackets, using the keyword \u201cOrder By\u201d, typing the name of the field, and following it up with the keyword \u201cDesc\u201d, as we want the info in descending order.<\/p>\n\n\n\n<p>Our query should now look like this\u2026<\/p>\n\n\n\n<p><strong>From <\/strong>tblEmployees<\/p>\n\n\n\n<p><strong>SELECT<\/strong> *,<\/p>\n\n\n\n<p><strong>RANK <\/strong>() <strong>OVER <\/strong>(<strong>ORDER<\/strong> <strong>BY<\/strong> Employee Salary Desc)<\/p>\n\n\n\n<p>But we\u2019re not quite done yet. Our Rank column needs a name, so let\u2019s add one after the brackets by typing \u201cAS [Rank]\u201d.<\/p>\n\n\n\n<p>Our column will now be labeled \u201cRank\u201d, and the query will look like this\u2026<\/p>\n\n\n\n<p><strong>From <\/strong>tblEmployees<\/p>\n\n\n\n<p><strong>SELECT<\/strong> *,<\/p>\n\n\n\n<p><strong>RANK <\/strong>() <strong>OVER <\/strong>(<strong>ORDER<\/strong> <strong>BY<\/strong> Employee Salary Desc) <strong>AS<\/strong> [Rank]<\/p>\n\n\n\n<p>If you wanted to use Dense_Rank instead of Rank, you\u2019d follow the exact same principles.<\/p>\n\n\n\n<p>Now let\u2019s take a look at the results table our query would produce:<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table><tbody><tr><td><strong>Employee Name<\/strong><\/td><td><strong>Employee Gender<\/strong><\/td><td><strong>Employee Tenure (Months)<\/strong><\/td><td><strong>Employee Salary<\/strong><\/td><td><strong>Rank<\/strong><\/td><\/tr><tr><td>Joe Bloggs<\/td><td>M<\/td><td>24<\/td><td>$70,000<\/td><td>1<\/td><\/tr><tr><td>Josephine Blaggs<\/td><td>F<\/td><td>48<\/td><td>$70,000<\/td><td>1<\/td><\/tr><tr><td>Jane Doe<\/td><td>F<\/td><td>8<\/td><td>$60,000<\/td><td>3<\/td><\/tr><tr><td>John Doe<\/td><td>M<\/td><td>36<\/td><td>$40,000<\/td><td>4<\/td><\/tr><tr><td>Homer Simpson<\/td><td>M<\/td><td>12<\/td><td>$39,000<\/td><td>5<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"rank-partitions\"><strong>Rank Partitions<\/strong><\/h2>\n\n\n\n<p>Another neat thing we can do with the Rank and Dense_Rank keywords is establish a partition in the ranking, which is achieved by placing the keyword \u201cPartition By\u201d, followed by the field we want the data to be separated by, before the \u201cOrder By\u201d keyword.<\/p>\n\n\n\n<p>Let\u2019s say, for example, that we wanted to split our salary rankings by employee gender; our query would look a little something like this\u2026<\/p>\n\n\n\n<p><strong>From <\/strong>tblEmployees<\/p>\n\n\n\n<p><strong>SELECT<\/strong> *,<\/p>\n\n\n\n<p><strong>RANK <\/strong>() <strong>OVER <\/strong>(<strong>PARTITION BY <\/strong>Employee Gender <strong>ORDER<\/strong> <strong>BY<\/strong> Employee Salary Desc) <strong>AS<\/strong> [Rank]<\/p>\n\n\n\n<p>This query would then pull up the following table of ranked results:<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table><tbody><tr><td><strong>Employee Name<\/strong><\/td><td><strong>Employee Gender<\/strong><\/td><td><strong>Employee Tenure (Months)<\/strong><\/td><td><strong>Employee Salary<\/strong><\/td><td><strong>Rank<\/strong><\/td><\/tr><tr><td>Josephine Blaggs<\/td><td>F<\/td><td>48<\/td><td>$70,000<\/td><td>1<\/td><\/tr><tr><td>Jane Doe<\/td><td>F<\/td><td>8<\/td><td>$60,000<\/td><td>2<\/td><\/tr><tr><td>Joe Bloggs<\/td><td>M<\/td><td>24<\/td><td>$70,000<\/td><td>1<\/td><\/tr><tr><td>John Doe<\/td><td>M<\/td><td>36<\/td><td>$40,000<\/td><td>2<\/td><\/tr><tr><td>Homer Simpson<\/td><td>M<\/td><td>12<\/td><td>$39,000<\/td><td>3<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"final-thoughts\"><strong>Final Thoughts<\/strong><\/h2>\n\n\n\n<p>And that\u2019s basically all there is to it \u2014 the Rank function of SQL ranks query results using a field of your choice as a reference for the ranking\u2026 simple! Now you know what it is and how it\u2019s done, you can give it a go yourself!<\/p>\n\n\n\n<figure class=\"wp-block-embed is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-16-9 wp-has-aspect-ratio\"><div class=\"wp-block-embed__wrapper\">\n<div class=\"container-lazyload preview-lazyload container-youtube js-lazyload--not-loaded\"><a href=\"https:\/\/www.youtube.com\/watch?v=5-La_uSNkKU\" class=\"lazy-load-youtube preview-lazyload preview-youtube\" data-video-title=\"Rank and Dense Rank in SQL Server\" title=\"Play video &quot;Rank and Dense Rank in SQL Server&quot;\">https:\/\/www.youtube.com\/watch?v=5-La_uSNkKU<\/a><noscript>Video can&#8217;t be loaded because JavaScript is disabled: <a href=\"https:\/\/www.youtube.com\/watch?v=5-La_uSNkKU\" title=\"Rank and Dense Rank in SQL Server\">Rank and Dense Rank in SQL Server (https:\/\/www.youtube.com\/watch?v=5-La_uSNkKU)<\/a><\/noscript><\/div>\n<\/div><\/figure>\n","protected":false},"excerpt":{"rendered":"<p>Introduced to SQL in 2005, the Rank function has become a hugely beneficial database tool, especially for composing reports based on database information. However, despite existing for nearly two decades, there is still a lot of confusion surrounding Rank and neighbor tool, Dense_Rank. So, to ensure you don\u2019t miss out on these awesome database management &#8230; <a title=\"What Is Rank?\" class=\"read-more\" href=\"https:\/\/openquery.com\/what-is-rank\/\" aria-label=\"More on What Is Rank?\">Read more<\/a><\/p>\n","protected":false},"author":2,"featured_media":102,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[6],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v20.11 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>What Is Rank? - Open Query<\/title>\n<meta name=\"description\" content=\"Rank is a keyword used in SQL to add a rank column to data request results. 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