Spark UDFs

Kevin Feasel

2017-02-06

Spark

Curtis Howard explains how to create a user-defined function in Apache Spark:

It’s important to understand the performance implications of Apache Spark’s UDF features.  Python UDFs for example (such as our CTOF function) result in data being serialized between the executor JVM and the Python interpreter running the UDF logic – this significantly reduces performance as compared to UDF implementations in Java or Scala.  Potential solutions to alleviate this serialization bottleneck include:

  1. Accessing a Hive UDF from PySpark as discussed in the previous section.  The Java UDF implementation is accessible directly by the executor JVM.  Note again that this approach only provides access to the UDF from the Apache Spark’s SQL query language.
  2. Making use of the approach also shown to access UDFs implemented in Java or Scala from PySpark, as we demonstrated using the previously defined Scala UDAF example.

In general, UDF logic should be as lean as possible, given that it will be called for each row.  As an example, a step in the UDF logic taking 100 milliseconds to complete will quickly lead to major performance issues when scaling to 1 billion rows.

Definitely worth a read.  UDFs in Spark can come at a performance penalty, so they aren’t free.

Related Posts

Sharing R Notebooks

Hanyu Cui and Hossein Falaki show how to share a notebook using RMarkdown: RMarkdown is the dynamic document format RStudio uses. It is normal Markdown plus embedded R (or any other language) code that can be executed to produce outputs, including tables and charts, within the document. Hence, after changing your R code, you can just rerun all […]

Read More

How Qubole Optimizes Apache Spark Clusters

Mikhail Stolpner gives us some tips on how to optimize Apache Spark clusters: There are four major resources: memory, compute (CPU), disk, and network. Memory and compute are by far the most expensive. Understanding how much compute and memory your application requires is crucial for optimization. You can configure how much memory and how many […]

Read More

Categories

February 2017
MTWTFSS
« Jan Mar »
 12345
6789101112
13141516171819
20212223242526
2728