High-availability, recovery semantics, and guarantees - CS 591 K1: Data Stream Processing and Analytics Spring 2020<#WorldCup, 480> <#StarWars, 300> Any non-trivial streaming computation maintains state: • rolling aggregations • window contents • input offsets • machine learning models State in dataflow computations 480> <#StarWars, 300> <#Brexit> Any non-trivial streaming computation maintains state: • rolling aggregations • window contents • input offsets • machine learning models State in dataflow computations <#StarWars, 300> <#Brexit, 521> Any non-trivial streaming computation maintains state: • rolling aggregations • window contents • input offsets • machine learning models State in dataflow computations0 码力 | 49 页 | 2.08 MB | 1 年前3- PyFlink 1.15 Documentation(FileSink .for_row_format('/tmp/sink', Encoder.simple_string_encoder("UTF-8")) .with_rolling_policy(RollingPolicy.default_rolling_policy( part_size=1024 ** 3, rollover_interval=15 * 60 * 1000, inactivity_interval=50 码力 | 36 页 | 266.77 KB | 1 年前3
- PyFlink 1.16 Documentation(FileSink .for_row_format('/tmp/sink', Encoder.simple_string_encoder("UTF-8")) .with_rolling_policy(RollingPolicy.default_rolling_policy( part_size=1024 ** 3, rollover_interval=15 * 60 * 1000, inactivity_interval=50 码力 | 36 页 | 266.80 KB | 1 年前3
- State management - CS 591 K1: Data Stream Processing and Analytics Spring 2020<#StarWars, 300> <#Brexit, 521> Any non-trivial streaming computation maintains state: • rolling aggregations • window contents • input offsets • machine learning models State in dataflow computations0 码力 | 24 页 | 914.13 KB | 1 年前3
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