PyFlink Failure enricher
We are using PyFlink for our data stream processing pipeline.
Looking for a way to handle failures globally. There is a FailureEnricher in the Java implementation.
pyflink DeserializationSchema.get_produced_type function returns null
I try to implement the Flink kafka source with pyflink codes. First, the deserialization class is
Pyflink process died with exit code 0 without paral parallelism set to 1
Context I’m facing problem while running flink on minCluster with python Code snippet is: from pyflink.common import WatermarkStrategy, Row from pyflink.common.typeinfo import Types from pyflink.datastream import StreamExecutionEnvironment from pyflink.datastream.connectors.number_seq import NumberSequenceSource def state_access_demo(): env = StreamExecutionEnvironment.get_execution_environment() # env.set_parallelism(1) seq_num_source = NumberSequenceSource(1, 10000) ds = env.from_source( source=seq_num_source, watermark_strategy=WatermarkStrategy.for_monotonous_timestamps(), source_name=’seq_num_source’, type_info=Types.LONG()) ds = ds.map(lambda a: Row(a % […]