大家新年好，并发网译者提议二月份组织翻译《Spark官方文档》，Spark是一个高效的分布式计算系统，有兴趣的同学可以一起参与进来。

Programming Guides:

• Quick Start: a quick introduction to the Spark API; start here!
• Spark Programming Guide: detailed overview of Spark in all supported languages (Scala, Java, Python, R)
• Modules built on Spark:
  • Spark Streaming: processing real-time data streams
  • Spark SQL, Datasets, and DataFrames: support for structured data and relational queries
  • MLlib: built-in machine learning library
  • GraphX: Spark’s new API for graph processing

API Docs:

• Spark Scala API (Scaladoc)
• Spark Java API (Javadoc)
• Spark Python API (Sphinx)
• Spark R API (Roxygen2)

Deployment Guides:

• Cluster Overview: overview of concepts and components when running on a cluster
• Submitting Applications: packaging and deploying applications
• Deployment modes:
  • Amazon EC2: scripts that let you launch a cluster on EC2 in about 5 minutes
  • Standalone Deploy Mode: launch a standalone cluster quickly without a third-party cluster manager
  • Mesos: deploy a private cluster using Apache Mesos
  • YARN: deploy Spark on top of Hadoop NextGen (YARN)

Other Documents:

• Configuration: customize Spark via its configuration system
• Monitoring: track the behavior of your applications
• Tuning Guide: best practices to optimize performance and memory use
• Job Scheduling: scheduling resources across and within Spark applications
• Security: Spark security support
• Hardware Provisioning: recommendations for cluster hardware
• Integration with other storage systems:
  • OpenStack Swift
• Building Spark: build Spark using the Maven system
• Contributing to Spark
• Supplemental Projects: related third party Spark projects