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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
fork Github 项目
将译文放在 docs 文件夹下
push
pull request
请见 Github 入门指南。
