{"id":7045,"date":"2024-02-12T00:00:00","date_gmt":"2024-02-12T05:00:00","guid":{"rendered":"https:\/\/www.sisense.com\/splitting-comma-separated-values-in-mysql\/"},"modified":"2024-10-11T10:01:25","modified_gmt":"2024-10-11T14:01:25","slug":"splitting-comma-separated-values-in-mysql","status":"publish","type":"post","link":"https:\/\/www.sisense.com\/blog\/splitting-comma-separated-values-in-mysql\/","title":{"rendered":"Splitting comma-separated values in MySQL"},"content":{"rendered":"<p><em>SQL is one of the analyst\u2019s most powerful tools. In\u00a0<strong>SQL Superstar<\/strong>, we give you actionable advice to help you get the most out of this versatile language and create beautiful, effective queries.<\/em><\/p>\n<p>Every once in a while, a quick decision is made to store data in a comma-separated fashion, and the SQL analyst is left to pick up the pieces during analysis. Let\u2019s take an example from Sisense\u2019s own schema: Each Sisense for Cloud Data Teams dashboard has a comma-separated list of users who receive that dashboard by email every day. Here\u2019s what it looks like:<\/p>\n<figure class=\"wp-block-image fancybox\"><img decoding=\"async\" class=\"wp-image-74008\" src=\"https:\/\/cdn.sisense.com\/wp-content\/uploads\/image-01-comma-blog.png\" alt=\"Email users list\" \/><\/figure>\n<p>Let\u2019s say we want to do a simple analysis: Which users receive the most dashboards by email? If we\u2019re using Postgres, <a href=\"https:\/\/www.postgresql.org\/docs\/9.4\/functions-string.html\" target=\"_blank\" rel=\"noreferrer noopener\" aria-label=\" (opens in a new tab)\">regexp_split_to_table<\/a> comes to the rescue.<\/p>\n<p>MySQL users, however, are in the dark. In this post, we\u2019ll show how to split our comma-separated string into a table of values for easier analysis in MySQL.<\/p>\n<h2>Making a table of numbers<\/h2>\n<p>To get started, we\u2019ll need a table that contains numbers at least as big as the length of our longest comma-separated list. We like Sisense\u2019s Views feature for this, but in a pinch, a temporary table also works:<\/p>\n<pre class=\"wp-block-code\"><code>create temporary table numbers as (\r\n  select 1 as n\r\n  union select 2 as n\r\n  union select 3 as n\r\n  ...\r\n)<\/code><\/pre>\n<figure class=\"wp-block-image fancybox\"><img decoding=\"async\" class=\"wp-image-74003\" src=\"https:\/\/cdn.sisense.com\/wp-content\/uploads\/image-02-comma-blog.png\" alt=\"Single column table\" \/><\/figure>\n<h2>Joining our table to numbers<\/h2>\n<p>The next thing we\u2019ll want to do is create the structure of our resulting table. We need a row for each email address in each list.<\/p>\n<p>To do that, let\u2019s join the numbers table to our original dashboards table. We\u2019ll use the numbers to restrict the number of rows to the length of each list:<\/p>\n<pre class=\"wp-block-code\"><code>select * \r\nfrom dashboards\r\njoin numbers\r\n  on char_length(email_recipients) \r\n    - char_length(replace(email_recipients, ',', '')) \r\n    &gt;= n - 1<\/code><\/pre>\n<p>Let\u2019s take this in pieces. First is <a href=\"https:\/\/dev.mysql.com\/doc\/refman\/8.0\/en\/string-functions.html#function_char-length\" target=\"_blank\" rel=\"noreferrer noopener\" aria-label=\" (opens in a new tab)\">char_length<\/a>, which returns the number of characters in a string. replace(email_recipients, &#8216;,&#8217;, &#8221;) removes commas from email_recipients. So char_length(email_recipients) &#8211; char_length(replace(email_recipients, &#8216;,&#8217;, &#8221;)) counts the commas in email_recipients.<\/p>\n<p>By joining on the number of commas &gt;= n &#8211; 1, we get exactly the number of rows as there are email_recipients!<\/p>\n<p>Here are the results:<\/p>\n<figure class=\"wp-block-image\"><img decoding=\"async\" class=\"wp-image-73988\" src=\"https:\/\/cdn.sisense.com\/wp-content\/uploads\/image-03-comma-blog.png\" alt=\"Email recipients table\" \/><\/figure>\n<h2>Selecting each item in the list<\/h2>\n<p>We now have the list duplicated exactly the right number of times, and as a bonus, we have a column of numbers that we can use as an array index!<\/p>\n<p>We just need to select the item in the list that corresponds to n. For this, we\u2019ll turn to MySQL\u2019s handy <a href=\"https:\/\/dev.mysql.com\/doc\/refman\/8.0\/en\/string-functions.html#function_substring-index\" target=\"_blank\" rel=\"noreferrer noopener\" aria-label=\" (opens in a new tab)\">substring_index<\/a> function. Here\u2019s the SQL:<\/p>\n<pre class=\"wp-block-code\"><code>select \r\n  id, \r\n  substring_index(\r\n    substring_index(email_recipients, ',', n), \r\n    ',', \r\n    -1\r\n  ) as email\r\nfrom dashboards\r\njoin numbers\r\n  on char_length(email_recipients) \r\n    - char_length(replace(email_recipients, ',', '')) \r\n    &gt;= n - 1<\/code><\/pre>\n<p>substring_index returns the substring starting or ending at the i\u2019th occurrence of the specified delimiter, where i is the third argument. We use it once with n to find the nth comma and select the entire list after that comma.<\/p>\n<p>Then we call it again with -1 to find the first remaining comma, and select everything to the left of that. With this combination, we find the whole string between the nth and (n+1)th comma. That\u2019ll be the nth email recipient!<\/p>\n<p>Here\u2019s the resulting table:<\/p>\n<figure class=\"wp-block-image fancybox\"><img decoding=\"async\" class=\"wp-image-73993\" src=\"https:\/\/cdn.sisense.com\/wp-content\/uploads\/image-04-comma-blog.png\" alt=\"Nth Email Recipient table\" \/><\/figure>\n<h2><strong>P<\/strong>utting it all together<\/h2>\n<p>Now that we have our data schematized, a simple group-and-count can tell us who the top users of the email feature are!<\/p>\n<pre class=\"wp-block-code\"><code>select email, count(1) from ( \r\n  select \r\n    id, \r\n    substring_index(\r\n      substring_index(email_recipients, ',', n), \r\n      ',', \r\n      -1\r\n    ) as email\r\n  from dashboards\r\n  join numbers\r\n    on char_length(email_recipients) \r\n      - char_length(replace(email_recipients, ',', '')) \r\n      &gt;= n - 1\r\n) email_recipients_by_dashboard\r\ngroup by 1<\/code><\/pre>\n<p><strong>This gives us our<\/strong> <strong>results:<\/strong><\/p>\n<figure class=\"wp-block-image fancybox\"><img decoding=\"async\" class=\"wp-image-73998\" src=\"https:\/\/cdn.sisense.com\/wp-content\/uploads\/image-05-comma-blog.png\" alt=\"Email recipients results table\" \/><\/figure>\n<p>As we can see, Joel is leading the pack!<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Every once in a while, a quick decision is made to store data in a comma-separated fashion, and the SQL analyst is left to pick up the pieces during analysis.<\/p>\n","protected":false},"author":4,"featured_media":7232,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_searchwp_excluded":"","footnotes":"","_links_to":"","_links_to_target":""},"categories":[50,436,44],"tags":[525],"application":[10],"buyer-role":[],"buyer-stage":[],"department":[],"industry":[],"topic":[73],"class_list":["post-7045","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-bi-best-practices","category-deliver-analytic-insights","category-tech-talk","tag-data-teams","application-cloud-data-teams","topic-sql-superstar"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v23.5 (Yoast SEO v23.8) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Comma-Separated Values | Sisense<\/title>\n<meta name=\"description\" content=\"Every so often, a decision is made to store data in a comma-separated fashion, 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