In this article, you’ll learn how to add query tab functionality to your BigQuery interface — and how to use query tabs to get more work done.
Query Overload in BigQuery
Does this sound familiar?
You’re on an assignment, working on several queries in BigQuery — but you don’t want to lose the results of one query in order to execute another.
So what do you do?
You juggle several Chrome tabs running BigQuery, each containing a different query. But you end up more disorganized than before, with your browser probably looking like this:
How do you know which query is where? Luckily, there’s a better way to organize your work.
How to Use Query Tabs in BigQuery
With multi-tab support for BigQuery (via superQuery), you’ll simplify your query management by separating your work into tabs. After opening a new query tab, you can name it to easily identify it later.
Creating a new query is as simple as clicking the “+” sign just above your SQL Editor. Each tab can even contain multiple SQL statements that you can execute at the same time in one click.
What if you want to group different tabs together into folders? That’s what Boards are for. They’re essentially workspaces you group related queries into.
Finally, tabs in superQuery come equipped with Syntax Auto-Detect. With this, you no longer need to tell Google whether you’re using Standard or Legacy syntax. superQuery detects your syntax automatically from your SQL.
Organize your BigQuery Work
As humans, we seek organization in at least one aspect of our lives — some even argue it is a basic human need.
Whether it’s putting your ideas into lists or setting up schedules & deadlines, we strive to organize for productivity and simplicity’s sake.
Your work in BigQuery is no different. You should focus on that next crucial insight your analysis will bring, not playing “Musical Chrome Tabs” searching for that work-in-progress query.
Now that you know why you should use tabs to give order to your BigQuery work, give it a try yourself . Peace of mind is literally one click away.
