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Streaming read/writes to Google Storage blobs with ascynchronous buffering.

Project description

gs-chunked-io: Streams for Google Storage

gs-chunked-io provides transparently chunked io streams for google storage objects. Writable streams are managed as multipart objects, composed when the stream is closed.

IO opperations are concurrent by default. The number of concurrent threads can be adjusted using the threads parameter, or disabled entirely with threads=None.

import gs_chunked_io as gscio
from google.cloud.storage import Client

client = Client()
bucket = client.bucket("my-bucket")
blob = bucket.get_blob("my-key)

# Readable stream:
with gscio.Reader(blob) as fh:
    fh.read(size)

# Writable stream:
with gscio.Writer("my_new_key", bucket) as fh:
    fh.write(data)

# Process blob in chunks:
for chunk in gscio.for_each_chunk(blob):
    my_chunk_processor(chunk)

# Multipart copy with processing:
dst_bucket = client.bucket("my_dest_bucket")
with gscio.Writer("my_dest_key", dst_bucket) as writer:
    for chunk in gscio.for_each_chunk(blob)
	    process_my_chunk(chunk)
	    writer(chunk)

# Extract .tar.gz on the fly:
import gzip
import tarfile
with gscio.AsyncReader(blob) as fh:
    gzip_reader = gzip.GzipFile(fileobj=fh)
    tf = tarfile.TarFile(fileobj=gzip_reader)
    for tarinfo in tf:
        process_my_tarinfo(tarinfo)

Installation

pip install gs-chunked-io

Links

Project home page GitHub
Package distribution PyPI

Bugs

Please report bugs, issues, feature requests, etc. on GitHub.

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