20 juli 2022 What is the difference between the Alt and Coalesce functions in Qlik Sense? Deel dit bericht Every Friday at Bitmetric we’re posting a new Qlik certification practice question to our LinkedIn company page. Last Friday we asked the following Qlik Data Architect certification practice question about the Alt() and Coalesce() functions in Qlik Sense, and how they differ from each other: The correct answer is B: Coalesce(SizeName, ’Unknown’) AS SizeName The disparity between the answers this week shows that this function is not well known yet, but Coalesce() has made it to Qlik in recent years. And being the correct answer in this question, why is the answer Coalesce() and not any of the others? The difference between Alt and Coalesce in Qlik The main difference between Alt() and Coalesce() is that Coalesce() returns the first non-null value of the given statement, while Alt() returns the first valid number representation. In this case we are looking to fill a text value (small, medium and large) and not a number, so Alt() will not work. Before Coalesce() was added to Qlik, the go to solution would be to write an If-statement to check for empty values, the solution being something almost equal to answer C. However in this example the else statement of the If() expression is omitted, by which we only get ‘unknown’ as result and not the original SizeName. The proper expression should be: If(IsNull(SizeName), ‘Unknown’, SizeName) AS SizeName. Concluding, the Coalesce() function is the more elegant solution in this case. Using just Coalesce(SizeName, ‘Unknown’) AS SizeName. The syntax for Coalesce is as following: Coalesce(Expr1, [Expr2, Expr3, ....], else) For Coalesce() it is possible to give unlimited arguments to compare. When all of these arguments return null the final position in the syntax can be used to give a return value. In the question ‘Unknown’ was used, so we can quickly select this in the front end to check the overall data quality. Other things to consider when using Coalesce() One thing to note is that Coalesce() makes for a great combination with EmptyIsNull(). Since Coalesce() returns the first non null value, we need to make sure that all values are true null. Using EmptyIsNull() transforms all empty values into a null value. So instead of long strings like, IF(LEN((SizeName) = 0, Null(), SizeName) you could use Coalesce(EmptyIsNull(SizeName), ‘Unknown’). That’s it for this week. See you next Friday? More from the Bitmetric team Qlik Cloud Backup Protect your investment in Qlik with daily incremental backups stored in an encrypted environment with redundant storage. Available for as little as 2 Euro per day. Learn more. Join the team! Do you want to work within a highly-skilled, informal team where craftsmanship, ingenuity, knowledge sharing and personal development are valued and encouraged? Check out our job openings. Friday Qlik Test Prep Functions Solution Hoe kunnen we je ondersteunen? Barry beschikt over meer dan 20 jaar ervaring als architect, developer, trainer en auteur op het gebied van Data & Analytics. Hij is bereid om je te helpen met al je vragen. Bel ons Mail ons 25 april 2025 Game-Changer in Qlik: Set Analysis Now Works WITHOUT Using It’s Syntax! Discover Qlik Cloud’s latest feature that lets you apply object level filters without writing any set analysis syntax. A simpler and faster way to build dashboards, especially for non-technical users. Read more in this blog post. New Release Qlik 23 april 2025 When Everyone Has Different Numbers: Why Data Alignment Matters Different teams, different data, different results. This post explores how misaligned data leads to confusion, and how TimeXtender helps bring everyone back to the same page. TimeXtender 16 april 2025 The Cost of Bad Data: What Is It Really Doing to Your Business? Inaccurate or outdated data doesn’t just cause small hiccups. This can severely impact your bottom line. It slows down your teams, leads to expensive errors, and creates serious compliance risks. The good news is that these challenges are avoidable. TimeXtender
25 april 2025 Game-Changer in Qlik: Set Analysis Now Works WITHOUT Using It’s Syntax! Discover Qlik Cloud’s latest feature that lets you apply object level filters without writing any set analysis syntax. A simpler and faster way to build dashboards, especially for non-technical users. Read more in this blog post. New Release Qlik
23 april 2025 When Everyone Has Different Numbers: Why Data Alignment Matters Different teams, different data, different results. This post explores how misaligned data leads to confusion, and how TimeXtender helps bring everyone back to the same page. TimeXtender
16 april 2025 The Cost of Bad Data: What Is It Really Doing to Your Business? Inaccurate or outdated data doesn’t just cause small hiccups. This can severely impact your bottom line. It slows down your teams, leads to expensive errors, and creates serious compliance risks. The good news is that these challenges are avoidable. TimeXtender