read-blob | Read file blobs easily
kandi X-RAY | read-blob Summary
kandi X-RAY | read-blob Summary
Read file blobs easily
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QUESTION
Say I have a storage at Google containing a blob_file
ANSWER
Answered 2021-Feb-20 at 12:43You can use download_as_text
function that is documented in the Google Cloud Storage client library here
QUESTION
I'm running batch pipelines in Google Cloud Dataflow. I need to read objects in one pipeline that another pipeline has previously written. The easiest wa objects is pickle / dill.
The writing works well, writing a number of files, each with a pickled object. When I download the file manually, I can unpickle the file. Code for writing: beam.io.WriteToText('gs://{}', coder=coders.DillCoder())
But the reading breaks every time, with one of the errors below. Code for reading: beam.io.ReadFromText('gs://{}*', coder=coders.DillCoder())
Either...
...ANSWER
Answered 2018-Feb-01 at 17:22ReadFromText
is designed to read new line separated records in text files hence is not suitable for your use-case. Implementing FileBasedSource
is not a good solution either since it's designed for reading large files with multiple records (and usually splits these files into shards for parallel processing). So, in your case, the current best solution for Python SDK is to implement a source yourself. This can be as simple as a ParDo
that reads files and produces a PCollection
of records. If your ParDo
produce a large number of records consider adding a apache_beam.transforms.util.Reshuffle
step following that which will allow runners to parallelize following steps better. For Java SDK we have FileIO
which already provides transforms to make this bit easier.
QUESTION
ANSWER
Answered 2017-Dec-01 at 23:09What about something like:
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