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Apache Flink Community China

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Metrics Principles and Practices: Flink Advanced Tutorials

This article describes Apache Flink metrics in detail and explains how to use metrics. It further explains the metrics monitoring practices.

In-depth Analysis of Flink Job Execution: Flink Advanced Tutorials

This article describes two key aspects of the Flink job execution process. It describes how to go from a program to a physical execution plan and how ...

Analysis of Network Flow Control and Back Pressure: Flink Advanced Tutorials

This article explains the concepts of network flow control, focusing on TCP flow control, back pressure, and credit-based back pressure on Flink.

Flink Checkpoints Principles and Practices: Flink Advanced Tutorials

This article explains the concepts of checkpoints and states used in Apache Flink, focusing on the relationship between checkpoints and states.

Best Practices and Tips for Working with Flink State: Flink Advanced Tutorials

This article gives an overview of Flink State and describes a set of best practices and tips for using states and checkpoints.

Deep Insights into Flink SQL: Flink Advanced Tutorials

This article explains the key functional changes in Flink 1.9 from the user perspective and describes the design and scenarios of the new TableEnvironment.

How TensorFlow on Flink Works: Flink Advanced Tutorials

This article explains how to use a single engine to implement the entire machine learning process through TensorFlow on Flink.

Data Types and Serialization: Flink Advanced Tutorials

This article gives a detailed account of Flink serialization and focuses on customizing a serialization framework for Flink.

Principles and Practices of Flink on YARN and Kubernetes: Flink Advanced Tutorials

This article provides an overview of Flink architecture and introduces the principles and practices of how Flink runs on YARN and Kubernetes, respectively.

In-depth Analysis of Time: Flink Advanced Tutorials

This article describes the time attribute, an essential component of a stream processing system, in detail and focusses on how it is used across the three layers of Flink APIs.

The Run-In Period for Flink and Hive

Jason addresses the bugs and compatibility issues with Flink-Hive by operating on a Hive database using Flink SQL to demonstrate some of the features provided.

Sneak Peek: Apache Flink 1.11 Is Coming Soon!

This article describes the new features, improvements, and important changes of Flink 1.11 and Flink's future development plans.

Hive Finally Has Flink!

Jason introduces the architecture of Hive integration in Flink, discusses problems, and how to solve them.

A Deep Dive into Apache Flink 1.11: Stream-Batch Integrated Hive Data Warehouse

Li Jinsong and Li Rui, Alibaba Technical Experts, talk about the features, revisions, and improvements of Apache Flink 1.11.

Pravega, the Answer of Storage Layer in Flink Ecosystem

Yu Teng and Haikai Zhao, Dell EMC, introduce the evolution of big data architectures, advanced features of Pravega, and scenarios of the Internet of Vehicles.

Flink Is Attempting to Build a Data Warehouse Simply by Using a Set of SQL Statements

A discussion of how unifying batch and real-time processing in data warehouses can promote integrated computing.

Demo: How to Build Streaming Applications Based on Flink SQL

This article demonstrates how to use Flink SQL to integrate Kafka, MySQL, Elasticsearch, and Kibana to quickly build a real-time analysis application.

The Flink Ecosystem: A Quick Start to PyFlink

This article will introduce PyFlink's architecture and provide a quick demo in which PyFlink is used to analyze CDN logs.

Flink 1.10 vs. Hive 3.0 - A Performance Comparison

This blog compares the performance of Flink 1.10 against Hive 3.0 using the TPC-DS Benchmark 10-TB dataset and 20 hosts to test 3 engines.

Apache Flink Fundamentals: Using Table API for Programming

This article discusses three main parts: what is Table API, how to use Table API from a code perspective, and the latest information about the Table API.