Skip to main content

Software Heritage datastore scrubber

Project description

Tools to periodically checks data integrity in swh-storage, swh-objstorage and swh-journal, reports errors, and (try to) fix them.

The Scrubber package is made of the following parts:

Checking

Highly parallel processes continuously read objects from a data store, compute checksums, and write any failure in a database, along with the data of the corrupt object.

There is one “checker” for each datastore package: storage (postgresql and cassandra), journal (kafka), and object storage (any backends).

The journal is “crawled” using its native streaming; others are crawled by range, reusing swh-storage’s backfiller utilities, and checkpointed from time to time to the scrubber’s database (in the checked_range table).

Storage

For the storage checker, a checking configuration must be created before being able to spawn a number of checkers.

A new configuration is created using the swh scrubber check init tool:

$ swh scrubber check init storage --object-type snapshot --nb-partitions 65536 --name chk-snp
Created configuration chk-snp [2] for checking snapshot in datastore storage postgresql

One (or more) checking worker can then be spawned by using the swh scrubber check run command:

$ swh scrubber check run chk-snp
[...]

Object storage

As with the storage checker, a checking configuration must be created before being able to spawn a number of checkers.

A new configuration is created using the swh scrubber check init tool:

$ swh scrubber check init objstorage --object-type content --nb-partitions 65536 --name check-contents
Created configuration check-contents [3] for checking content in datastore objstorage remote

By default, an object storage checker detects missing and corrupted contents. To disable detection of missing contents, use the --no-check-references option of the swh check init command. To disable detection of corrupted contents, use the --no-check-hashes option of the swh check init command.

One (or more) checking worker can then be spawned by using the swh scrubber check run command:

  • if the content ids must be read from a storage instance

$ swh scrubber check run check-contents
[...]
  • if the content ids must be read from a kafka content topic of swh-journal

$ swh scrubber check run check-contents --use-journal
[...]

Journal

As with the other checkers, a checking configuration must be created before being able to spawn a number of checkers.

A new configuration is created using the swh scrubber check init tool:

$ swh scrubber check init journal --object-type directory --name check-dirs-journal
Created configuration check-dirs-journal [4] for checking directory in datastore journal kafka

One (or more) checking worker can then be spawned by using the swh scrubber check run command:

$ swh scrubber check run check-dirs-journal
[...]

Recovery

Then, from time to time, jobs go through the list of known corrupt objects, and try to recover the original objects, through various means:

  • Brute-forcing variations until they match their checksum

  • Recovering from another data store

  • As a last resort, recovering from known origins, if any

Reinjection

Finally, when an original object is recovered, it is reinjected in the original data store, replacing the corrupt one.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

swh_scrubber-3.1.1.tar.gz (70.1 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

swh.scrubber-3.1.1-py3-none-any.whl (80.2 kB view details)

Uploaded Python 3

File details

Details for the file swh_scrubber-3.1.1.tar.gz.

File metadata

  • Download URL: swh_scrubber-3.1.1.tar.gz
  • Upload date:
  • Size: 70.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.11.9

File hashes

Hashes for swh_scrubber-3.1.1.tar.gz
Algorithm Hash digest
SHA256 ee9900c31fb171006405e3cc42dd12f2aa25cdaeb39a3105612e31da146f2716
MD5 8e73cd92a7d9872e93b38485f2b459cf
BLAKE2b-256 78eaa052fa2337b346b6ed837da46a34e453bebc32a5853880ae81fc78b7497e

See more details on using hashes here.

File details

Details for the file swh.scrubber-3.1.1-py3-none-any.whl.

File metadata

  • Download URL: swh.scrubber-3.1.1-py3-none-any.whl
  • Upload date:
  • Size: 80.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.11.9

File hashes

Hashes for swh.scrubber-3.1.1-py3-none-any.whl
Algorithm Hash digest
SHA256 42342205be93a095606a90fbae9e8da1b5d52603f7df413fa290f4656af228ca
MD5 f58482cb5c302f4cb017e88b2a01ec09
BLAKE2b-256 762c222059b5901d391af800918a55ecb98c72089b73f7abfa5f063fd6e8f341

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page