pyflink 自定义函数

from pyflink.datastream import StreamExecutionEnvironment
from pyflink.common.typeinfo import Types
from pyflink.datastream import StreamExecutionEnvironment
from pyflink.table import StreamTableEnvironment
from pyflink.datastream.connectors import NumberSequenceSource
from pyflink.common.typeinfo import Types
from pyflink.common.watermark_strategy import WatermarkStrategy
from pyflink.datastream import StreamExecutionEnvironment
from pyflink.datastream.functions import RuntimeContext, MapFunction,FlatMapFunction
import re
import redis

# 创建 StreamExecutionEnvironment 对象
env = StreamExecutionEnvironment.get_execution_environment()
def my_map_func(value):
    return value + 1
data_stream = env.from_collection([1, 2, 3, 4, 5], type_info=Types.INT())
mapped_stream = data_stream.map(my_map_func, output_type=Types.INT())
mapped_stream.print()
env.execute()
[root@master pyflink]# python k112.py 
1> 2
2> 3
4> 5
3> 4
1> 6