如何从谷歌数据流apache束python中的GCS存储桶中读取多个JSON文件

Question

我在 GCS 中有一个包含 JSON 文件列表的存储桶。我来提取文件名列表使用

def list_blobs(bucket_name):


    storage_client = storage.Client()

    blobs = storage_client.list_blobs(bucket_name)
    json_paths = []
    for blob in blobs:
        json_paths.append(f"gs://{bucket_name}/{blob.name}")
    return json_paths

现在我想将此文件名列表传递给 apache Beam 以读取它们。我写了这段代码，但它似乎不是一个好的模式

for i,file in enumerate(list_files):
        print("parsing file:", file)
        concat_data = (p |'Data {}'.format(i) >> ReadFromText(file)
        )
        final_result.append(concat_data)

你以前遇到过同样的问题吗？

Answer 1

最后我开始使用谷歌云存储作为阅读API。

列出桶的所有元素

def list_blobs(bucket_name):
"""Lists all the blobs in the bucket."""

storage_client = storage.Client()
blobs = storage_client.list_blobs(bucket_name)
json_paths = []
for blob in blobs:
    #json_paths.append(f"gs://{bucket_name}/{blob.name}")
    json_paths.append(f"{blob.name}")
return json_paths

我创建了这个 ParDo 来阅读内容

class ReadFileContent(beam.DoFn):

def setup(self):
    # Called whenever the DoFn instance is deserialized on the worker.
    # This means it can be called more than once per worker because multiple instances of a given DoFn subclass may be created (e.g., due to parallelization, or due to garbage collection after a period of disuse).
    # This is a good place to connect to database instances, open network connections or other resources.
    self.storage_client = storage.Client()

def process(self, file_name, bucket_name):
    bucket = self.storage_client.get_bucket(bucket_name)
    blob = bucket.get_blob(file_name)
    yield blob.download_as_string()

而 mu 管道看起来像这样：

list_files = list_blobs(bucket_name)

with beam.Pipeline(options=pipeline_options) as p:

    results = (
        p | 'Create' >> beam.Create(list_files)
          | 'Read each file content' >> beam.ParDo(ReadFileContent(), bucket_name)
          | 'next transformation' >> ...

Answer 2

查看this 链接。 ReadFromText 是一个有助于读取文本文件的 PTransform。另一方面，ReadAllFromText 是一个读取 PCollection 文本文件的 PTransform。读取文本文件或文件模式的 PCollection 并生成字符串的 PCollection。