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Bringing it all together I

You've built a solid foundation in PySpark, explored its core components, and worked through practical scenarios involving Spark SQL, DataFrames, and advanced operations. Now it’s time to bring it all together. Over the next two exercises, you're going to make a SparkSession, a Dataframe, cache that Dataframe, conduct analytics and explain the outcome!

Latihan ini adalah bagian dari kursus

Introduction to PySpark

Lihat Kursus

Petunjuk latihan

  • Import SparkSession from pyspark.sql.
  • Make a new SparkSession called final_spark using SparkSession.builder.getOrCreate().
  • Print my_spark to the console to verify it's a SparkSession.
  • Create a new DataFrame from a preloaded schema and column definition.

Latihan interaktif praktis

Cobalah latihan ini dengan menyelesaikan kode contoh berikut.

# Import SparkSession from pyspark.sql
from ____ import ____

# Create my_spark
my_spark = SparkSession.builder.appName(____).____

# Print my_spark
____

# Load dataset into a DataFrame
df = ____(data, schema=columns)

df.show()
Edit dan Jalankan Kode