7 September 2022 Dropping tables and fields in Qlik Share this message 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 dropping fields and tables in Qlik Sense and QlikView: The correct answer is D: DROP FIELD [Fieldname] FROM [Tablename]; The correct way to drop a field after it is no longer needed in Qlik is to use the drop statement. Since the drop statement is also used to drop tables, it is needed to specify what you are going to drop. In this case there are some possibilities. To specify the field or the fields you want to drop. And optionally if you want to drop them from a specific table. The options are demonstrated in the figure below: So starting with the drop statement we can choose to drop all fields using the following syntax: DROP FIELD a; However, be aware that this is only applicable to the tables loaded until that line. All tables loaded after that drop statement containing field a, will still load field a. In best practice if you want to remove those fields, use this in a clean up section at the end of the whole load script. When using a clean up script, it might very well be possible, that some of those fields need to be dropped, while others need to be kept. For example in case when link tables are created. It is then possible to specify from which table to drop the field with the following syntax: DROP FIELD a FROM x; Here field a is only dropped from table x, leaving all other instances of field a in their respective tables. Dropping multiple Qlik fields and tables at once If we would like to drop multiple fields or tables, it is simply done by using the plural and adding the field or table names separated by a comma: DROP TABLES x, y; In this case the tables x and y are dropped from the data model. Needless to say is that there is no option to choose to drop the tables from any other table ;). That’s it for this week. See you next Friday? More from the Bitmetric team Bitmetric Qlik Support Keep your Qlik environment running smoothly with proactive support that prevents issues before they appear. Available on flexible monthly plans. Learn more. Qlik vs Power BI Series See how Qlik and Power BI perform when theory meets reality. Three apps rebuilt, every step examined. Learn more. Data Model Friday Qlik Test Prep Script Solution How can we help? Whether something’s still unclear or you’re ready to take the next step, Barry and Eric are happy to talk it through. Email us, call us, or book a meeting at a time that works for you. Call us Mail us 1 September 2026 Qlik Answers review: What we learned from real-world testing We tested Qlik Answers on a real production sales model to see how it handles real-world analytics. The results were promising, but getting reliable answers required careful work on the logical model, master measures, dimensions and business context. AI Data Analysis Qlik Semantic Layer 25 August 2026 Your semantic layer is becoming the API for AI Semantic layers are not new, but AI is giving them a new role. Where they once primarily powered dashboards, semantic models are increasingly becoming the layer that provides AI with reliable business context. AI Data Governance Microsoft Fabric Qlik Semantic Layer TimeXtender 17 August 2026 Putting AI to work on your data works. But not like this. Putting AI to work on your data sounds simple. But what can we learn from organizations already doing it? Based on Anthropic’s experience and independent research: what works, what doesn’t, and why maintenance is where the real work lies. AI Data Governance Data Management Power BI Qlik
1 September 2026 Qlik Answers review: What we learned from real-world testing We tested Qlik Answers on a real production sales model to see how it handles real-world analytics. The results were promising, but getting reliable answers required careful work on the logical model, master measures, dimensions and business context. AI Data Analysis Qlik Semantic Layer
25 August 2026 Your semantic layer is becoming the API for AI Semantic layers are not new, but AI is giving them a new role. Where they once primarily powered dashboards, semantic models are increasingly becoming the layer that provides AI with reliable business context. AI Data Governance Microsoft Fabric Qlik Semantic Layer TimeXtender
17 August 2026 Putting AI to work on your data works. But not like this. Putting AI to work on your data sounds simple. But what can we learn from organizations already doing it? Based on Anthropic’s experience and independent research: what works, what doesn’t, and why maintenance is where the real work lies. AI Data Governance Data Management Power BI Qlik