Recent Articles

SQL,

Window Function ROWS and RANGE on Redshift and BigQuery

Frames in window functions allow us to operate on subsets of the partitions by breaking the partition into even smaller sequences of rows. SQL provides syntax to express very flexible…

Uli Bethke August 22, 2017

SQL,

Redshift's Window Functions Advanced use case – Sessionization

In the last post about the Window Functions, we introduced an advanced use case, in which the window functions help to make the query more readable, simple and efficient. The…

Uli Bethke August 14, 2017

SQL,

Redshift Window Functions Advanced Use Cases

Merging time-based events into periods Thanks to our previous posts about the window functions, Introduction to Window functions on Redshift and Data exploration with Window functions on Redshift, you should…

Uli Bethke August 3, 2017

SQL,

Data Exploration with Window Functions on Redshift

We have already introduced the main concept, syntax and simple examples of window functions applied to practical problems. In this post, we will go through some more advanced window functions…

Uli Bethke July 26, 2017

SQL,

Introduction to Window Functions on Redshift

Benefits of Window Functions Window functions on Redshift provide new scope for traditional aggregate functions and make complex aggregations faster to perform and simpler to write. Window functions also allow…

Uli Bethke July 11, 2017

SQL,

Tricks with SQL: Beware of the Predicate in the Outer Join

Today we will have a look what happens when we place a filter condition into an outer join. We will also have a look at how this compares to placing…

Uli Bethke November 21, 2012