pyflink本地开发环境搭建

简介

本文指导怎么在本地安装pyflink开发环境。

操作步骤

环境准备

安装pycharm 参考：https://github.com/libin9iOak/ja-netfilter-all
安装conda

# 1.官网下载安装 https://docs.conda.io/en/latest/miniconda.html
# 1.1.linux执行如下命令
bash Miniconda3-latest-MacOSX-arm64.sh -u
# 1.2.windows点击安装，配置环境变量path，添加如下目录：
# WINDOWS需要配置环境变量
# D:\path\to\miniconda3
# D:\path\to\miniconda3\Scripts
# D:\path\to\miniconda3\Library\bin

# 2.配置国内镜像
conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/
conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main/
conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge/
conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/msys2/
conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/pytorch/
#设置搜索是显示通道地址
conda config --set show_channel_urls yes
conda config --show

# 3.安装anaconda-navigator anaconda
conda install  anaconda-navigator anaconda

# 4.创建python3.8的环境
conda create --name python38 python=3.8

笔者安装Miniconda3的路径为： D:\Users\qiujiahong\Miniconda3,对应python38的路径为D:\Users\qiujiahong\Miniconda3\envs\python38

新建工程

打开pycharm,新建工程flink-test,新建一个 venv

如果是第二次创建项目，可以选择以前的interpreter

打开pycharm的terminal窗口，执行命令安装apache-flink

pip install apache-flink==1.15.2  -i http://pypi.douban.com/simple --trusted-host pypi.douban.com

完成安装可以在external libraries的\envs\flink-test\Lib\site-packages下找到pyflink

参考代码

main.py

import argparse
import logging
import sys

# https://nightlies.apache.org/flink/flink-docs-release-1.15/zh/docs/dev/python/datastream_tutorial/

from pyflink.common import WatermarkStrategy, Encoder, Types
from pyflink.datastream import StreamExecutionEnvironment, RuntimeExecutionMode
from pyflink.datastream.connectors import (FileSource, StreamFormat, FileSink, OutputFileConfig,
                                           RollingPolicy)


word_count_data = ["To be, or not to be,--that is the question:--",
                   "Whether 'tis nobler in the mind to suffer",
                   "The slings and arrows of outrageous fortune",
                   "Or to take arms against a sea of troubles,",
                   "And by opposing end them?--To die,--to sleep,--",
                   "No more; and by a sleep to say we end",
                   "The heartache, and the thousand natural shocks",
                   "That flesh is heir to,--'tis a consummation",
                   "Devoutly to be wish'd. To die,--to sleep;--",
                   "To sleep! perchance to dream:--ay, there's the rub;",
                   "For in that sleep of death what dreams may come,",
                   "When we have shuffled off this mortal coil,",
                   "Must give us pause: there's the respect",
                   "That makes calamity of so long life;",
                   "For who would bear the whips and scorns of time,",
                   "The oppressor's wrong, the proud man's contumely,",
                   "The pangs of despis'd love, the law's delay,",
                   "The insolence of office, and the spurns",
                   "That patient merit of the unworthy takes,",
                   "When he himself might his quietus make",
                   "With a bare bodkin? who would these fardels bear,",
                   "To grunt and sweat under a weary life,",
                   "But that the dread of something after death,--",
                   "The undiscover'd country, from whose bourn",
                   "No traveller returns,--puzzles the will,",
                   "And makes us rather bear those ills we have",
                   "Than fly to others that we know not of?",
                   "Thus conscience does make cowards of us all;",
                   "And thus the native hue of resolution",
                   "Is sicklied o'er with the pale cast of thought;",
                   "And enterprises of great pith and moment,",
                   "With this regard, their currents turn awry,",
                   "And lose the name of action.--Soft you now!",
                   "The fair Ophelia!--Nymph, in thy orisons",
                   "Be all my sins remember'd."]


def word_count(input_path, output_path):
    env = StreamExecutionEnvironment.get_execution_environment()
    env.set_runtime_mode(RuntimeExecutionMode.BATCH)
    # write all the data to one file
    env.set_parallelism(1)

    # define the source
    if input_path is not None:
        ds = env.from_source(
            source=FileSource.for_record_stream_format(StreamFormat.text_line_format(),
                                                       input_path)
                             .process_static_file_set().build(),
            watermark_strategy=WatermarkStrategy.for_monotonous_timestamps(),
            source_name="file_source"
        )
    else:
        print("Executing word_count example with default input data set.")
        print("Use --input to specify file input.")
        ds = env.from_collection(word_count_data)

    def split(line):
        yield from line.split()

    # compute word count
    ds = ds.flat_map(split) \
           .map(lambda i: (i, 1), output_type=Types.TUPLE([Types.STRING(), Types.INT()])) \
           .key_by(lambda i: i[0]) \
           .reduce(lambda i, j: (i[0], i[1] + j[1]))

    # define the sink
    if output_path is not None:
        ds.sink_to(
            sink=FileSink.for_row_format(
                base_path=output_path,
                encoder=Encoder.simple_string_encoder())
            .with_output_file_config(
                OutputFileConfig.builder()
                .with_part_prefix("prefix")
                .with_part_suffix(".ext")
                .build())
            .with_rolling_policy(RollingPolicy.default_rolling_policy())
            .build()
        )
    else:
        print("Printing result to stdout. Use --output to specify output path.")
        ds.print()

    # submit for execution
    env.execute()


if __name__ == '__main__':
    logging.basicConfig(stream=sys.stdout, level=logging.INFO, format="%(message)s")

    parser = argparse.ArgumentParser()
    parser.add_argument(
        '--input',
        dest='input',
        required=False,
        help='Input file to process.')
    parser.add_argument(
        '--output',
        dest='output',
        required=False,
        help='Output file to write results to.')

    argv = sys.argv[1:]
    known_args, _ = parser.parse_known_args(argv)

    word_count(known_args.input, known_args.output)