我正在尝试使用flink和python批处理api测试wordcount经典示例。我的问题是，将数据源从env.from_elements（）修改为env.read_text（）后（对于更大的测试用例），会发生错误。下面的代码描述了我的实现。

[...]
if __name__ == "__main__":
env = get_environment()
input_file = 'file:///workfile.txt/'

if len(sys.argv) != 1 and len(sys.argv) != 3:
    sys.exit("Usage: ./bin/pyflink.sh WordCount[ - <text path> <result path>]")

if len(sys.argv) == 3:
    data = env.read_text(sys.argv[1])
else:
    #data = env.from_elements("hello","world","hello","car","tree","data","hello","car","tree","data","hello","car","tree","data","hello","car","tree","data","hello","car","tree","data","hello","car","tree","data","hello","car","tree","data","hello","car","tree","data","hello","car","tree","data","hello","car","tree","data","hello","car","tree","data","hello","car","tree","data","hello","car","tree","data","hello","car","tree","data","hello","car","tree","data","hello","car","tree","data","hello","car","tree","data","hello","car","tree","data","hello","car","tree","data","hello","car","tree","data","hello","car","tree","data","hello","car","tree","data","hello","car","tree","data","hello","car","tree","data","hello","car","tree","data","hello","car","tree","data","hello","car","tree","data","hello","car","tree","data","hello","car","tree","data","hello","car","tree","data","hello")
    data = env.read_text(input_file)

result = data \
    .flat_map(Tokenizer()) \
    .group_by(1) \
    .reduce_group(Adder(), combinable=True) \

if len(sys.argv) == 3:
    result.write_csv(sys.argv[2])
else:
    result.output()
[...]

执行上述代码时，抛出一个文件权限错误。更具体地说，以下消息
原因：org.apache.flink.runtime.jobexception:创建输入拆分导致错误：file:/workfile.txt不存在，或者运行flink的用户（“user”）没有足够的权限访问它。
ps:搜索解决方案，但找不到。如果这个问题已经解决了，我会很感激重新定向。