frompyflink.datastreamimportStreamExecutionEnvironment, RuntimeExecutionMode# pyflink.datastream.connectors 里面定义了大量的连接器,用于读取外部数据源# 比如 Cassandra、ES、JDBC、Kafka、RabbitMQ、Pulsar 等等frompyflink.datastream.connectors.kafkaimportKafkaSource, KafkaOffsetsInitializerfrompyflink.common.serializati...
本例中是String,即“A C B”的类型。 frompyflink.commonimportTypesfrompyflink.datastreamimportStreamExecutionEnvironment,RuntimeExecutionModeword_count_data=["A C B","A E B","E C D"]defword_count():env=StreamExecutionEnvironment.get_execution_environment()env.set_runtime_mode(RuntimeExecutionMo...
from pyflink.commonimportTypes from pyflink.datastreamimportStreamExecutionEnvironment,RuntimeExecutionMode word_count_data=["A C B","A E B","E C D"]defword_count():env=StreamExecutionEnvironment.get_execution_environment()env.set_runtime_mode(RuntimeExecutionMode.BATCH)# write all the data t...
from pyflink.demo import ChartConnector, SocketTableSource from pyflink.table import StreamTableEnvironment, EnvironmentSettings, DataTypes from pyflink.table.descriptors import Schema from pyflink.table.udf import udf env = StreamExecutionEnvironment.get_execution_environment() t_env = StreamTableEnvironme...
importpyflinkfrompyflink.datastreamimportStreamExecutionEnvironmentfrompyflink.tableimportStreamTableEnvironment,DataTypesfrompyflink.table.descriptorsimportSchema,OldCsv,FileSystemfrompyflink.table.udfimportudf# 创建StreamExecutionEnvironmentenv=StreamExecutionEnvironment.get_execution_environment()env.set_parallelism(1...
source=env.from_collection(word_count_data,source_type_info)# source.print()# keying keyed=source.key_by(lambda i:i[0]) 这段代码构造了一个KeyedStream,用于存储word_count_data中的数据。 我们并没有让Source是流的形式,是因为为了降低例子复杂度。但是我们将runntime mode设置为流(STREAMING)模式。
# 读取数据流data_stream = env.add_source(kafka_consumer)# 处理数据流# ...# 将处理后的数据写入Kafkadata_stream.add_sink(kafka_producer)# 执行任务env.execute("Kafka SSL Example") 复制代码 使用SASL/SCRAM加密: 要在PyFlink中使用SASL/SCRAM加密Kafka连接,需要配置Kafka消费者和生产者的安全协议、用户...
from pyflink.datastream import StreamExecutionEnvironment env = StreamExecutionEnvironment.get_execution_environment() 复制代码 创建Kafka 数据源: 创建一个 Kafka 数据源,用于从 Kafka 主题中读取数据。 from pyflink.datastream.connectors import FlinkKafkaConsumer kafka_consumer = FlinkKafkaConsumer( "your_kaf...
from pyFlink.table import StreamTableEnvironment, EnvironmentSettings from enjoyment.cdn.cdn_udf import ip_to_province from enjoyment.cdn.cdn_connector_ddl import kafka_source_ddl, mysql_sink_ddl # 创建Table Environment, 并选择使用的Planner
from pyFlink.table import StreamTableEnvironment, EnvironmentSettings from enjoyment.cdn.cdn_udf import ip_to_province from enjoyment.cdn.cdn_connector_ddl import kafka_source_ddl, mysql_sink_ddl # 创建Table Environment, 并选择使用的Planner