本文简要介绍 python 语言中 pyflink.table.StreamTableEnvironment.create
的用法。
用法:
static create(stream_execution_environment: pyflink.datastream.stream_execution_environment.StreamExecutionEnvironment = None, environment_settings: pyflink.table.environment_settings.EnvironmentSettings = None) → pyflink.table.table_environment.StreamTableEnvironment
创建
StreamTableEnvironment
。例子:
# create with StreamExecutionEnvironment. >>> env = StreamExecutionEnvironment.get_execution_environment() >>> table_env = StreamTableEnvironment.create(env) # create with StreamExecutionEnvironment and EnvironmentSettings. >>> configuration = Configuration() >>> configuration.set_string('execution.buffer-timeout', '1 min') >>> environment_settings = EnvironmentSettings \ ... .new_instance() \ ... .in_streaming_mode() \ ... .with_configuration(configuration) \ ... .build() >>> table_env = StreamTableEnvironment.create( ... env, environment_settings=environment_settings) # create with EnvironmentSettings. >>> table_env = StreamTableEnvironment.create(environment_settings=environment_settings)
参数:
stream_execution_environment- 这
StreamExecutionEnvironment
表环境的。environment_settings- 用于实例化 TableEnvironment 的环境设置。
返回:
从给定的StreamExecutionEnvironment 和配置创建的StreamTableEnvironment。
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注:本文由纯净天空筛选整理自apache.org大神的英文原创作品 pyflink.table.StreamTableEnvironment.create。非经特殊声明,原始代码版权归原作者所有,本译文未经允许或授权,请勿转载或复制。