{"id":7005,"date":"2023-05-08T00:00:00","date_gmt":"2023-05-08T04:00:00","guid":{"rendered":"https:\/\/www.sisense.com\/how-to-format-numbers-as-currency-in-postgres-mysql-and-redshift\/"},"modified":"2024-11-29T06:49:05","modified_gmt":"2024-11-29T11:49:05","slug":"how-to-format-numbers-as-currency-in-postgres-mysql-and-redshift","status":"publish","type":"post","link":"https:\/\/www.sisense.com\/blog\/how-to-format-numbers-as-currency-in-postgres-mysql-and-redshift\/","title":{"rendered":"How to format numbers as currency in Postgres, MySQL and Redshift"},"content":{"rendered":"

The all-important revenue graph<\/h2>\r\n

In your venerable orders table, you\u2019re almost certainly storing prices as numbers. Perhaps they\u2019re integer, perhaps they\u2019re numeric, perhaps you\u2019re using Postgres and they\u2019re money, or perhaps you rolled the dice on floating-point rounding errors and went with real.<\/p>\r\n

But save for Postgres\u2019s money format, your revenue graph looks, well, not like revenue at all:<\/p>\r\n

\"Revenue<\/figure>\r\n

Wouldn\u2019t you rather look at this?<\/p>\r\n

\"A<\/figure>\r\n

That\u2019s a revenue graph we can all get behind!<\/p>\r\n

Formatting the query<\/h2>\r\n

Our query starts like this:<\/p>\r\n

select date(created_at), sum(price)\r\nfrom orders\r\ngroup by 1<\/code><\/pre>\r\n
Let\u2019s rewrite it to get some nice currency formatting.<\/p>\r\n
Postgres<\/h2>\r\n
Assuming you\u2019re not already using the money type, you can leverage it for some quick formatting:<\/p>\r\n
select date(created_at), cast(sum(price) as money)\r\nfrom orders\r\ngroup by 1<\/code><\/pre>\r\n
MySQL<\/h2>\r\n
Things in MySQL aren\u2019t quite so easy. But we can still format the number to get two decimal places and prepend a \u201c$\u201d:<\/p>\r\n
select date(created_at), concat('$', format(sum(price), 2))\r\nfrom orders\r\ngroup by 1<\/code><\/pre>\r\n
Redshift<\/h2>\r\n
Unfortunately Redshift doesn\u2019t support the money type or the format function. We\u2019ll use the to_char<\/a> function to specify an exact format string<\/a>:<\/p>\r\n
select \r\n  date(created_at), \r\n  to_char(sum(price), 'FM$999,999,999,990D00')\r\nfrom orders\r\ngroup by 1<\/code><\/pre>\r\n
Our format string covers a few bases:<\/p>\r\n
    \r\n
  • FM removes leading and trailing whitespace; this allows our \u201c$\u201d to be right next to the number<\/li>\r\n
  • $ is our dollar sign<\/li>\r\n
  • The 9s are optional digits<\/li>\r\n
  • The commas separate the thousands, millions, etc.<\/li>\r\n
  • The 0s are required digits; all numbers will have a ones place and two decimal places, with zeroes in those places if necessary<\/li>\r\n
  • The D specifies our decimal \u201c.\u201d<\/li>\r\n
  • This SQL works on all 3 of these databases, but it\u2019s a bit onerous to type, so we prefer the other options on Postgres and MySQL<\/li>\r\n<\/ul>\r\n
    Of course, using a tool like Sisense for Cloud Data Teams, you can reduce all of this to a single click:<\/p>\r\n
    \"Dollar<\/figure>\r\n
    Or if you prefer typing to clicking, you can annotate the SQL itself!<\/p>\r\n
    \"Revenue<\/figure>\r\n
    \r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n<\/p>","protected":false},"excerpt":{"rendered":"
    The all-important revenue graph In your venerable orders table, you\u2019re almost certainly storing prices as numbers. Perhaps they\u2019re integer, perhaps they\u2019re numeric, perhaps you\u2019re using Postgres and they\u2019re money, or perhaps you rolled the dice on floating-point rounding errors and…<\/p>\n","protected":false},"author":4,"featured_media":7201,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_searchwp_excluded":"","footnotes":"","_links_to":"","_links_to_target":""},"categories":[44],"tags":[472],"application":[46],"buyer-role":[],"buyer-stage":[],"department":[],"industry":[],"topic":[],"class_list":["post-7005","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-tech-talk","tag-data-team","application-bi-analytics-teams"],"acf":[],"yoast_head":"\nFormatting Currency in Postgres, MySQL, and Redshift | Sisense<\/title>\n<meta name=\"description\" content=\"In your venerable orders table, you\u2019re probably storing prices as numbers. 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