March 2019
Beginner to intermediate
182 pages
4h 6m
English
Content preview from Hands-On Big Data Analytics with PySpark
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Testing in different versions of Spark
In this section, we will cover the following topics:
- Changing the component to work with Spark pre-2.x
- Mock testing pre-2.x
- RDD mock testing
Let's start with the mocking data sources from the third section of this chapter—Mocking data sources using partial functions.
Since we were testing UserDataLogic.loadAndGetAmount, notice that everything operates on the DataFrame and thus we had a SparkSession and DataFrame.
Now, let's compare it to the Spark pre-2.x. We can see that this time, we are unable to use DataFrames. Let's assume that the following example shows our logic from the previous Sparks:
test("mock loading data from hive"){ //given import spark.sqlContext.implicits._ val df = spark.sparkContext ...Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.