Building Spark JAR Files with SBT
Spark JAR files let you package a project into a single file so it can be run on a Spark cluster. A lot of developers develop Spark code in brower […]
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Advanced String Matching with Spark’s rlike Method
The Spark rlike method allows you to write powerful string matching algorithms with regular expressions (regexp). This blog post will outline tactics to detect strings that match multiple different patterns […]
Speaking Slack Notifications from Spark
The spark-slack library can be used to speak notifications to Slack from your Spark programs and handle Slack Slash command responses. You can speak Slack notifications to alert stakeholders when […]
Testing Spark Applications with uTest
The uTest Scala testing framework can be used to elegantly test your Spark code. The other popular Scala testing frameworks (Scalatest and Specs2) provide multiple different ways to solve the […]
Chaining Custom PySpark DataFrame Transformations
PySpark code should generally be organized as single purpose DataFrame transformations that can be chained together for production analyses (e.g. generating a datamart). This blog post demonstrates how to monkey […]
Chaining Custom DataFrame Transformations in Spark
implicit classes or the Dataset#transform method can be used to chain DataFrame transformations in Spark. This blog post will demonstrate how to chain DataFrame transformations and explain why the Dataset#transform […]