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Apache Spark

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Apache Spark

apache/spark

Apache Spark

Apache Spark is a unified analytics engine for large-scale data processing. It exposes high-level APIs in Scala, Java, Python, and R, and an optimized engine that runs general DAG-shaped computations on a cluster of machines. Spark ships with libraries for SQL and DataFrames, pandas-on-Spark, MLlib, GraphX, and Structured Streaming, all built on the same execution engine.

The codebase is hosted at github.com/apache/spark and is maintained under the Apache Software Foundation. The project's website is spark.apache.org.

What this wiki covers

This wiki is organized to help engineers navigate the Spark source tree. It describes:

  • The high-level architecture and how requests flow through the engine
  • How to get started building, running, and testing Spark locally
  • The glossary of project-specific terms
  • Each major source-tree module: core, sql, connect, mllib, graphx, Structured Streaming, PySpark, SparkR, and the resource managers
  • Cross-cutting systems such as the DAG scheduler, block manager, shuffle service, RPC layer, and Web UI
  • Reference material for configuration and dependencies

Repository at a glance

Layer Where it lives
Core engine (RDDs, scheduler, storage, shuffle, RPC, UI) core/src/main/scala/org/apache/spark/
Catalyst optimizer sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/
SQL execution sql/core/src/main/scala/org/apache/spark/sql/execution/
Hive integration sql/hive/, sql/hive-thriftserver/
Spark Connect sql/connect/{client,common,server}
MLlib mllib/, mllib-local/
GraphX graphx/
PySpark python/pyspark/
SparkR R/
Resource managers resource-managers/yarn/, resource-managers/kubernetes/
Connectors connector/avro, connector/kafka-0-10*, connector/protobuf, ...
Common subprojects common/{kvstore,network-common,network-shuffle,unsafe,sketch,...}
Build / dev tooling build/, dev/, project/SparkBuild.scala
User-facing docs docs/ (rendered to spark.apache.org)

Where to go next

Built by Factory AutoWiki from public repository content. It is a generated preview for codebase exploration, not source-maintained documentation.

Apache Spark – Apache Spark wiki | Factory