Penguins_aggr % group_by ( species ) %>% summarize (Īcross ( ends_with ( "mm" ), sum. In the following example, I’ll briefly walk through the process of generating readable, well-styled SQL using dbplyr and sqlfluff. Sqlfluff, an innovative SQL styler which was announced at DBT’s recentĬoalesce conference, these queries can be made not only accurate but also imminently readable. For example, computing sums and means for a large number of variables. By using efficient, readable, and most important familiar syntax, users can generate accurate SQL queries that could otherwise be error-prone to write. 1įor R (or, specifically tidyverse) users who need to generate SQL code, recent advances inĭbplyr v2.0.0 pose an interesting alternative. Of course, such tools naturally come at a cost of their own by requiring developers to learn yet another tool. Common examples in the world of web development are This is part of the motivation for pre-processing tools which use more imperative programming concepts such as local variables and for-loops to automatically generate declarative code. ![]() Most notably, the lack of commonĬontrol flow can introduce a lot of redundancy. However, sometimes this additional layer of abstraction can introduce problems of its own. This can increase efficiency and code readability since programmers describe what they want – whether that be how their website is laid out (without worrying about how the browser computes this layout) or how a dataset is structured (regardless of how the database goes about obtaining and aggregating this data). Declarative programming languages such as HTML, CSS, and SQL are popular because they allow users to focus more on the desired outcome than the exact computational steps required to achieve that outcome.
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