PyFlink 1.15 Documentation. . . . . . . . . . . . . . . . . . . . . . . . 24 1.3.2.1 O1: How to prepare Python Virtual Environment . . . . . . . . . . . . . . . . . . . 24 1.3.2.2 O2: How to add Python Files . . . . . . . . --version Create a Python virtual environment Virtual environment gives you the ability to isolate the Python dependencies of different projects by creating a separate environment for each project. It is a directory standalone Python environment and also useful when deploying a PyFlink job to production when there are massive Python dependencies. It’s supported to use Python virtual environment in your PyFlink jobs0 码力 | 36 页 | 266.77 KB | 1 年前3
PyFlink 1.16 Documentation. . . . . . . . . . . . . . . . . . . . . . . . 24 1.3.2.1 O1: How to prepare Python Virtual Environment . . . . . . . . . . . . . . . . . . . 24 1.3.2.2 O2: How to add Python Files . . . . . . . . --version Create a Python virtual environment Virtual environment gives you the ability to isolate the Python dependencies of different projects by creating a separate environment for each project. It is a directory standalone Python environment and also useful when deploying a PyFlink job to production when there are massive Python dependencies. It’s supported to use Python virtual environment in your PyFlink jobs0 码力 | 36 页 | 266.80 KB | 1 年前3
Introduction to Apache Flink and Apache Kafka - CS 591 K1: Data Stream Processing and Analytics Spring 2020temperature”) } } Flink programs are defined in regular Scala/Java methods Set up the execution environment: local, cluster, I/O, time semantics, parallelism, … Example: Sensor Readings 9 Vasiliki publish-subscribe messaging system and serves as the ingestion, storage, and messaging layer for large production streaming pipelines. Kafka is commonly deployed on a cluster of one or more servers. 21 Vasiliki0 码力 | 26 页 | 3.33 MB | 1 年前3
Fault-tolerance demo & reconfiguration - CS 591 K1: Data Stream Processing and Analytics Spring 202011 Challenges of reconfiguration ??? Vasiliki Kalavri | Boston University 2020 12 • Detect environment changes: external workload and system performance • Identify bottleneck operators, straggler Vasiliki Kalavri | Boston University 2020 Control: When and how much to adapt? 12 • Detect environment changes: external workload and system performance • Identify bottleneck operators, straggler Control: When and how much to adapt? Mechanism: How to apply the re-configuration? 12 • Detect environment changes: external workload and system performance • Identify bottleneck operators, straggler0 码力 | 41 页 | 4.09 MB | 1 年前3
Course introduction - CS 591 K1: Data Stream Processing and Analytics Spring 2020Windows subsystem for Linux (WSL), Cygwin, or a Linux virtual machine to run Flink in a UNIX environment. • A Java 8.x installation. To develop Flink applications and use its DataStream API in Java0 码力 | 34 页 | 2.53 MB | 1 年前3
Streaming in Apache FlinkApache Flink @SenorCarbone Contents • DataSet API • DataStream API • Concepts • Set up an environment to develop Flink programs • Implement streaming data processing pipelines • Flink managed state0 码力 | 45 页 | 3.00 MB | 1 年前3
Windows and triggers - CS 591 K1: Data Stream Processing and Analytics Spring 2020AverageSensorReadings { def main(args: Array[String]) { // set up the streaming execution environment val env = StreamExecutionEnvironment.getExecutionEnvironment // use event time for the0 码力 | 35 页 | 444.84 KB | 1 年前3
监控Apache Flink应用程序(入门)memory is usually close to zero as Flink does not use memory-mapped files. In a containerized environment you should additionally monitor the overall memory consumption of the Job- and TaskManager containers0 码力 | 23 页 | 148.62 KB | 1 年前3
Elasticity and state migration: Part I - CS 591 K1: Data Stream Processing and Analytics Spring 2020Control: When and how much to adapt? Mechanism: How to apply the re-configuration? 3 • Detect environment changes: external workload and system performance • Identify bottleneck operators, straggler0 码力 | 93 页 | 2.42 MB | 1 年前3
共 9 条
- 1













