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What are the steps to execute a Python file with PySpark code on an EC2 environment?

Spark/Big Dataeasy0.4 min read

**Steps**: (1) Install Spark (SPARK_HOME). (2) `pip install pyspark`. (3) `spark-submit --master yarn --deploy-mode client /path/script.py`. Or `--master local[*]` without YARN. (4) `--conf spark.executor.memory=4g` for config. (5) `--py-files` for zip dependencies. **Why...

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Frequency
Low
Asked at 1 company
Category
452
questions in Spark/Big Data
Difficulty Split
88E|81M|283H
in this category
Total Bank
1,863
across 7 categories
Asked at these companies
Carelon
Key Concepts Tested
pythonspark

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Expert Answer
77 words

Steps: (1) Install Spark (SPARK_HOME). (2) pip install pyspark. (3) spark-submit --master yarn --deploy-mode client /path/script.py. Or --master local[*] without YARN. (4) --conf spark.executor.memory=4g for config. (5) --py-files for zip dependencies.

Why Care: EC2 = raw VMs; no managed Spark. EMR provides managed Spark on EC2.

Scalability Trade-offs: Local mode = single machine. YARN = multi-node. Bootstrap scripts for repeatable EC2 setup.

Cost Implications: EC2 + self-managed vs. EMR: EMR adds ~20% for management; saves ops time.

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