nbdkit-gcs-plugin - expose data in Google Cloud Storage (GCS) buckets as block device
nbdkit gcs [json-credentials=FILE]
[size=NN object-size=NN]
bucket=BUCKET key=STRINGnbdkit-gcs-plugin is a plugin for nbdkit(1) which lets you open objects stored in Google Cloud Storage (GCS) as disk images.
This plugin uses the Python Google Cloud Storage client library (google-cloud-storage). It requires Python ≥ 3.7.
nbdkit gcs json-credentials=/path/to-my-json-credentials.json \
bucket=MY-BUCKET key=disk.imgProvides a read only block device holding the data contained in the disk.img object.
nbdkit gcs json-credentials=/path/to-my-json-credentials.json \
size=50G object-size=128k \
bucket=MY-BUCKET key=diskProvides a read-write block device with size 50G, whose contents are stored across multiple in objects of size 128k, prefixed with disk/
Path to a JSON file with Google Service account keys. Application Default Credentials will be used if json-credentials is not specified (see "CREDENTIALS" below).
The bucket containing the object(s). This parameter is required.
The object name (if size is not specified) or object prefix (if size is specified) to use within the bucket. This parameter is required.
These two parameters must always be specified together. If set, data will be split into blocks of object-size and stored as separate objects. The block device will report a total size of size and be writeable and trim-able.
Object names will have the form key/%16x, where %16x is the 16-digit hexadecimal block number. If there are existing objects under the prefix that do not have the expected size, the plugin will crash.
It is highly recommended that clients do their utmost to issue requests that exactly match the object size: Smaller write requests will incur a performance penalty due to the need for read-modify-write cycles (thus also incurring latency from two network round-trips). Larger read and write requests will incur a performance penalty because of sequential execution.
The nbdkit-blocksize-filter(1) can be used to alleviate the impact of requests larger than the object size, but does not help if the client issues requests smaller than the block size.
The nbdkit-stats-filter(1) can be used to investigate what block sizes and alignments are used by the client.
When connecting through the Linux kernel's NBD module, consider setting /sys/block/nbd<X>/queue/max_sectors_kb to match the object size.
Refer to the following web pages:
https://developers.google.com/workspace/guides/create-credentials#service-account
https://cloud.google.com/docs/authentication/application-default-credentials
The plugin.
Use nbdkit --dump-config to find the location of $plugindir.
Application Default Credentials.
GOOGLE_APPLICATION_CREDENTIALSYou can use the GOOGLE_APPLICATION_CREDENTIALS environment variable to provide the location of a credential JSON file.
You can use the S3 plugin to access Google Cloud Storage in interoperability mode. read and write work perfectly fine, while trim and zero operations don't work in the general case: trimmed or zeroed-out blocks cannot be deleted from the storage using the S3 plugin.
nbdkit-gcs-plugin first appeared in nbdkit 1.38.
nbdkit(1), nbdkit-plugin(3), nbdkit-python-plugin(3), nbdkit-S3-plugin(3), https://pypi.org/project/google-cloud-storage/, https://developers.google.com/workspace/guides/create-credentials#service-account, https://cloud.google.com/docs/authentication/application-default-credentials.
Mykola Ivanets
Copyright Infrascale Inc.
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