参与方式：https://github.com/apachecn/f…整体进度：https://github.com/apachecn/f…项目仓库：https://github.com/apachecn/f…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）负责人：zyBourn：379991171章节列表Apache Flink DocumentationDataflow Programming ModelDistributed Runtime EnvironmentDataStream API TutorialLocal Setup TutorialRunning Flink on WindowsExamplesBatch ExamplesProject Template for JavaProject Template for ScalaConfiguring Dependencies, Connectors, LibrariesBasic API ConceptsScala API ExtensionsJava Lambda ExpressionsFlink DataStream API Programming GuideEvent TimeGenerating Timestamps / WatermarksPre-defined Timestamp Extractors / Watermark EmittersState & Fault ToleranceWorking with StateThe Broadcast State PatternCheckpointingQueryable State BetaState BackendsState Schema EvolutionCustom Serialization for Managed StateOperatorsWindowsJoiningProcess Function (Low-level Operations)Asynchronous I/O for External Data AccessStreaming ConnectorsFault Tolerance Guarantees of Data Sources and SinksApache Kafka ConnectorApache Cassandra ConnectorAmazon AWS Kinesis Streams ConnectorElasticsearch ConnectorHDFS ConnectorStreaming File SinkRabbitMQ ConnectorApache NiFi ConnectorTwitter ConnectorSide OutputsPython Programming Guide (Streaming) BetaTestingExperimental FeaturesFlink DataSet API Programming GuideDataSet TransformationsFault ToleranceIterationsZipping Elements in a DataSetConnectorsPython Programming Guide BetaHadoop Compatibility BetaLocal ExecutionCluster ExecutionTable API & SQLConcepts & Common APIStreaming ConceptsDynamic TablesTime AttributesJoins in Continuous QueriesTemporal TablesDetecting Patterns in Tables BetaQuery ConfigurationConnect to External SystemsTable APISQLBuilt-In FunctionsUser-defined Sources & SinksUser-defined FunctionsSQL Client BetaData Types & SerializationRegister a custom serializer for your Flink programExecution ConfigurationProgram Packaging and Distributed ExecutionParallel ExecutionExecution PlansRestart StrategiesFlinkCEP - Complex event processing for FlinkStorm Compatibility BetaGelly: Flink Graph APIGraph APIIterative Graph ProcessingLibrary MethodsGraph AlgorithmsGraph GeneratorsBipartite GraphFlinkML - Machine Learning for FlinkQuickstart GuideAlternating Least SquaresHow to ContributeCross ValidationDistance Metricsk-Nearest Neighbors JoinMinMax ScalerMultiple Linear RegressionLooking under the hood of pipelinesPolynomial FeaturesStochastic Outlier SelectionStandard ScalerSVM using CoCoABest PracticesAPI Migration GuidesStandalone ClusterYARN SetupMesos SetupDocker SetupKubernetes SetupAmazon Web Services (AWS)Google Compute Engine SetupMapR SetupHadoop IntegrationJobManager High Availability (HA)CheckpointsSavepointsState BackendsTuning Checkpoints and Large StateConfigurationProduction Readiness ChecklistCommand-Line InterfaceScala REPLKerberos Authentication Setup and ConfigurationSSL SetupFile SystemsUpgrading Applications and Flink VersionsMetricsHow to use loggingHistory ServerMonitoring CheckpointingMonitoring Back PressureMonitoring REST APIDebugging Windows & Event TimeDebugging ClassloadingApplication ProfilingImporting Flink into an IDEBuilding Flink from SourceComponent StackData Streaming Fault ToleranceJobs and SchedulingTask LifecycleFile 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pushpull request请见 Github 入门指南。