- Hands-On Big Data Analytics with PySpark
- Rudy Lai Bart?omiej Potaczek
- 199字
- 2021-06-24 15:52:31
Conventions used
There are a number of text conventions used throughout this book.
CodeInText: Indicates code words in text, database table names, folder names, filenames, file extensions, pathnames, dummy URLs, user input, and Twitter handles. Here is an example: "Mount the downloaded WebStorm-10*.dmg disk image file as another disk in your system."
A block of code is set as follows:
test("Should use immutable DF API") {
import spark.sqlContext.implicits._
//given
val userData =
spark.sparkContext.makeRDD(List(
UserData("a", "1"),
UserData("b", "2"),
UserData("d", "200")
)).toDF()
When we wish to draw your attention to a particular part of a code block, the relevant lines or items are set in bold:
class ImmutableRDD extends FunSuite {
val spark: SparkContext = SparkSession
.builder().master("local[2]").getOrCreate().sparkContext
test("RDD should be immutable") {
//given
val data = spark.makeRDD(0 to 5)
Any command-line input or output is written as follows:
total_duration/(normal_data.count())
Bold: Indicates a new term, an important word, or words that you see on screen. For example, words in menus or dialog boxes appear in the text like this. Here is an example: "Select System info from the Administration panel."
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