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  • pdf文档 PyFlink 1.15 Documentation

    management: User-defined function registration, dropping, listing, etc. • Executing SQL queries • Job configuration • Python dependency management • Job submission For more details of how to create a TableEnvironment table import EnvironmentSettings, TableEnvironment env_settings = EnvironmentSettings.in_batch_mode() table_env = TableEnvironment.create(env_settings) table_env [1]: [2]: # Create a streaming TableEnvironment env_settings = EnvironmentSettings.in_streaming_mode() table_env = TableEnvironment.create(env_settings) table_env [2]:
    0 码力 | 36 页 | 266.77 KB | 1 年前
    3
  • pdf文档 PyFlink 1.16 Documentation

    management: User-defined function registration, dropping, listing, etc. • Executing SQL queries • Job configuration • Python dependency management • Job submission For more details of how to create a TableEnvironment table import EnvironmentSettings, TableEnvironment env_settings = EnvironmentSettings.in_batch_mode() table_env = TableEnvironment.create(env_settings) table_env [1]: [2]: # Create a streaming TableEnvironment env_settings = EnvironmentSettings.in_streaming_mode() table_env = TableEnvironment.create(env_settings) table_env [2]:
    0 码力 | 36 页 | 266.80 KB | 1 年前
    3
  • pdf文档 Streaming in Apache Flink

    and shrinks • queryable: Flink state can be queried via a REST API Rich Functions • open(Configuration c) • close() • getRuntimeContext() DataStream> input = … DataStream> { private ValueState averageState; @Override public void open (Configuration conf) { ValueStateDescriptor descriptor = new ValueStateDescriptor<>("moving String, String> { private ValueState blocked; @Override public void open(Configuration config) { blocked = getRuntimeContext().getState(new ValueStateDescriptor<>("blocked", Boolean
    0 码力 | 45 页 | 3.00 MB | 1 年前
    3
  • pdf文档 Elasticity and state migration: Part I - CS 591 K1: Data Stream Processing and Analytics Spring 2020

    Boston University 2020 Control: When and how much to adapt? Mechanism: How to apply the re-configuration? 3 • Detect environment changes: external workload and system performance • Identify bottleneck Flink wordcount Every reconfiguration takes ~30s during which the system is unavailable Re-configuration requires state migration with correctness guarantees. ??? Vasiliki Kalavri | Boston University only complete state is migrated Helpers buffer data that cannot yet be safely routed and configuration commands that cannot yet be applied Live state migration ??? Vasiliki Kalavri | Boston University
    0 码力 | 93 页 | 2.42 MB | 1 年前
    3
  • pdf文档 Exactly-once fault-tolerance in Apache Flink - CS 591 K1: Data Stream Processing and Analytics Spring 2020

    system execution that yields a system configuration Validity (safety): Termination (liveness): Obtain a valid system configuration A full system configuration is eventually captured A snapshot algorithm system execution that yields a system configuration Validity (safety): Termination (liveness): Obtain a valid system configuration A full system configuration is eventually captured A snapshot algorithm oAk+MBjAE7zAqyOcZ+fNeZ+3lpxiZh9+wfn4BnBTjW4= Epoch-Completeness: Obtain an epoch-complete system configuration 36 ??? Vasiliki Kalavri | Boston University 2020 p1 0 码力 | 81 页 | 13.18 MB | 1 年前
    3
  • pdf文档 Introduction to Apache Flink and Apache Kafka - CS 591 K1: Data Stream Processing and Analytics Spring 2020

    factorValues)) } }) 17 Vasiliki Kalavri | Boston University 2020 Configuration options conf/flink-conf.yaml contains the configuration options as a collection of key-value pairs with format key:value
    0 码力 | 26 页 | 3.33 MB | 1 年前
    3
  • pdf文档 State management - CS 591 K1: Data Stream Processing and Analytics Spring 2020

    handle object private var lastTempState: ValueState[Double] = _ override def open(parameters: Configuration): Unit = { // create state descriptor val lastTempDescriptor = new ValueStateDescriptor[Double]("lastTemp" rideState;
 private ValueState fareState;
 
 @Override
 public void open(Configuration config) { // initialize the state descriptors here
 rideState = getRuntimeContext()
    0 码力 | 24 页 | 914.13 KB | 1 年前
    3
  • pdf文档 Stream processing fundamentals - CS 591 K1: Data Stream Processing and Analytics Spring 2020

    the development of streaming algorithms With limited practical value in distributed, real-world settings Vasiliki Kalavri | Boston University 2020 Cash-Register Model: In this model, multiple updates
    0 码力 | 45 页 | 1.22 MB | 1 年前
    3
  • pdf文档 Fault-tolerance demo & reconfiguration - CS 591 K1: Data Stream Processing and Analytics Spring 2020

    Boston University 2020 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
    0 码力 | 41 页 | 4.09 MB | 1 年前
    3
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