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This article introduces the knowledge of "how to build and test the Spark development environment through Spark's IDE". Many people will encounter this dilemma in the operation of actual cases, so let the editor lead you to learn how to deal with these situations. I hope you can read it carefully and be able to achieve something!

Build and test the Spark development environment through Spark's IDE

Step 1: import the package corresponding to Spark-hadoop, select "File"-> "Project Structure"-> "Libraries", select "+", and import the package corresponding to spark-hadoop:

Click "OK" to confirm:

Click "OK":

After the IDEA work is completed, you will find that the jar package of Spark has been imported into our project:

Step 2: develop the first Spark program. Open the Examples directory that comes with Spark:

At this point, I found that there are a lot of files inside, and these are the examples provided to me by Spark.

Create a Scala named SparkPi under src of our first Scala project:

At this point, open the SparkPi file under the Examples included with Spark:

We copy the contents of this text directly into the SparkPi created in IDEA:

This is the end of "how to build and test the Spark development environment through Spark's IDE". Thank you for reading. If you want to know more about the industry, you can follow the website, the editor will output more high-quality practical articles for you!

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