贡献指南

请您勇敢地去翻译和改进翻译。虽然我们追求卓越，但我们并不要求您做到十全十美，因此请不要担心因为翻译上犯错——在大部分情况下，我们的服务器已经记录所有的翻译，因此您不必担心会因为您的失误遭到无法挽回的破坏。（改编自维基百科）

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可能有用的链接

• Flink 1.7-SNAPSHOT 中文文档

章节列表

• Apache Flink Documentation
• Dataflow Programming Model
• Distributed Runtime Environment
• DataStream API Tutorial
• Local Setup Tutorial
• Running Flink on Windows
• Examples
• Batch Examples
• Project Template for Java
• Project Template for Scala
• Configuring Dependencies, Connectors, Libraries
• Basic API Concepts
• Scala API Extensions
• Java Lambda Expressions
• Flink DataStream API Programming Guide
• Event Time
• Generating Timestamps / Watermarks
• Pre-defined Timestamp Extractors / Watermark Emitters
• State & Fault Tolerance
• Working with State
• The Broadcast State Pattern
• Checkpointing
• Queryable State Beta
• State Backends
• State Schema Evolution
• Custom Serialization for Managed State
• Operators
• Windows
• Joining
• Process Function (Low-level Operations)
• Asynchronous I/O for External Data Access
• Streaming Connectors
• Fault Tolerance Guarantees of Data Sources and Sinks
• Apache Kafka Connector
• Apache Cassandra Connector
• Amazon AWS Kinesis Streams Connector
• Elasticsearch Connector
• HDFS Connector
• Streaming File Sink
• RabbitMQ Connector
• Apache NiFi Connector
• Twitter Connector
• Side Outputs
• Python Programming Guide (Streaming) Beta
• Testing
• Experimental Features
• Flink DataSet API Programming Guide
• DataSet Transformations
• Fault Tolerance
• Iterations
• Zipping Elements in a DataSet
• Connectors
• Python Programming Guide Beta
• Hadoop Compatibility Beta
• Local Execution
• Cluster Execution
• Table API & SQL
• Concepts & Common API
• Streaming Concepts
• Dynamic Tables
• Time Attributes
• Joins in Continuous Queries
• Temporal Tables
• Detecting Patterns in Tables Beta
• Query Configuration
• Connect to External Systems
• Table API
• SQL
• Built-In Functions
• User-defined Sources & Sinks
• User-defined Functions
• SQL Client Beta
• Data Types & Serialization
• Register a custom serializer for your Flink program
• Execution Configuration
• Program Packaging and Distributed Execution
• Parallel Execution
• Execution Plans
• Restart Strategies
• FlinkCEP - Complex event processing for Flink
• Storm Compatibility Beta
• Gelly: Flink Graph API
• Graph API
• Iterative Graph Processing
• Library Methods
• Graph Algorithms
• Graph Generators
• Bipartite Graph
• FlinkML - Machine Learning for Flink
• Quickstart Guide
• Alternating Least Squares
• How to Contribute
• Cross Validation
• Distance Metrics
• k-Nearest Neighbors Join
• MinMax Scaler
• Multiple Linear Regression
• Looking under the hood of pipelines
• Polynomial Features
• Stochastic Outlier Selection
• Standard Scaler
• SVM using CoCoA
• Best Practices
• API Migration Guides
• Standalone Cluster
• YARN Setup
• Mesos Setup
• Docker Setup
• Kubernetes Setup
• Amazon Web Services (AWS)
• Google Compute Engine Setup
• MapR Setup
• Hadoop Integration
• JobManager High Availability (HA)
• Checkpoints
• Savepoints
• State Backends
• Tuning Checkpoints and Large State
• Configuration
• Production Readiness Checklist
• Command-Line Interface
• Scala REPL
• Kerberos Authentication Setup and Configuration
• SSL Setup
• File Systems
• Upgrading Applications and Flink Versions
• Metrics
• How to use logging
• History Server
• Monitoring Checkpointing
• Monitoring Back Pressure
• Monitoring REST API
• Debugging Windows & Event Time
• Debugging Classloading
• Application Profiling
• Importing Flink into an IDE
• Building Flink from Source
• Component Stack
• Data Streaming Fault Tolerance
• Jobs and Scheduling
• Task Lifecycle
• File Systems

流程

一、认领

首先查看整体进度，确认没有人认领了你想认领的章节。

然后回复 ISSUE，注明“章节 + QQ 号”（一定要留 QQ）。

二、翻译

可以合理利用翻译引擎（例如谷歌），但一定要把它变得可读！

如果遇到格式问题，请随手把它改正。

三、提交

注意：请提交到docs/1.7/，不要改动docs/1.7-SNAPSHOT/。

• fork Github 项目
• 将译文放在docs/1.7/文件夹下
• push
• pull request

请见 Github 入门指南。