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This repository has been archived by the owner on Oct 12, 2023. It is now read-only.

Releases: Azure/doAzureParallel

v0.8.0

20 Jun 21:10
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0.8.0 (2019-06-19)

  • Feature: Upgrading to R Batch SDK to 2018-12-01.8.0 (#354) (96bfc22), closes #354
  • Fix: Remove 'List Task Counts' api dependency for job progress (#354) (96bfc22), closes #354

v0.7.3

18 Jun 22:40
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0.7.3 (2019-04-16)

v0.7.2

08 Oct 17:24
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0.7.2 (2018-10-08)

v0.7.1

13 Jul 22:19
737bf49
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0.7.1 (2018-07-13)

v0.7.0

13 Jul 22:20
a28e74e
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0.7.0 (2018-05-02)

v0.6.3

13 Jul 22:20
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0.6.3 (2018-04-27)

v0.6.2

07 Dec 21:50
920336b
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[0.6.2] 2017-12-07

Added

  • Support for users to delete job and terminate job
  • Progress bar with task counts (Running, Completed, Queued, and Failed)
  • Support for docker private container registries

Changed

  • [BREAKING CHANGE] when wait = TRUE, both job and job results are deleted at the end of the run, set autoDeleteJob to FALSE to keep them
  • Add retry to get job result
  • Add errorHandling and wait option to job metadata
  • Save job metadata to job result storage blob

v0.6.1

04 Dec 17:33
5f1afc7
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Enable creating clusters and credentials programatically rather than always relying on local files in the file system

v0.5.1

10 Nov 01:23
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Hotfix to v0.5.0. There was a breaking change where one of the toolkit dependencies was not versioned, and the new version caused a crash. This version addresses that by using a known supported version of 'blobxfer'.

v0.6.0

06 Nov 18:23
aae6587
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Support multiple version of R

Added

  • Support for users to run custom versions of R via Docker containers
  • GitHub and BioConductor support as parameters in the foreach

Changed

  • [BREAKING CHANGE] Host OS distribution is now Debian instead of CentOS
  • [BREAKING CHANGE] Command line no longer updates the environment of R
  • [BREAKING CHANGE] Default version of R changed from MRO 3.3.2 to latest version of CRAN R

Fixed

  • Packages installed in foreach are only present and visible to a single foreach loop and then deleted from the cluster
  • Linux clients would get stuck waiting for the job to finish when using the .packages() option in the foreach loop