learning-spark
Learning Spark provides example code from the Learning Spark book to help developers learn Apache Spark using Java
- •Building data processing pipelines with Apache Spark
- •Developing machine learning models with Spark MLlib
- •Integrating Spark with other big data tools like Hadoop and Kafka
spark-submit --class com.databricks.sparkpi.SparkPi target/learning-spark-1.0.jar 100
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Expect 20–40 minutes in a terminal — or let your AI agent drive it.
mkdir -p ~/.claude/skills/learning-spark && curl -fsSL https://workflowstacks.com/api/skills/learning-spark/claude-skill -o ~/.claude/skills/learning-spark/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
Learning-spark is a medium Java project (~4.6k lines across 111 code files). Expect some technical setup — comfortable with a terminal, or ask a developer. Last commit 3 months ago, MIT license, no tests found.
- 1README.mdStart here — what it does and how to install it
- 2bin/datagen.cmdWhere the program starts running
- 3src/perl/splitwords.plInside src/ — the main logic begins here
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Expect 20–40 minutes in a terminal — or let your AI agent drive it.
mkdir -p ~/.claude/skills/learning-spark && curl -fsSL https://workflowstacks.com/api/skills/learning-spark/claude-skill -o ~/.claude/skills/learning-spark/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
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