Skip to main content

Microsoft Azure Batch Client Library for Python

Project description

Microsoft Azure SDK for Python

This is the Microsoft Azure Batch Client Library.

This package has been tested with Python 2.7, 3.3, 3.4 and 3.5.

Compatibility

IMPORTANT: If you have an earlier version of the azure package (version < 1.0), you should uninstall it before installing this package.

You can check the version using pip:

pip freeze

If you see azure==0.11.0 (or any version below 1.0), uninstall it first:

pip uninstall azure

Usage

For code examples, see the Batch samples repo on GitHub.

Provide Feedback

If you encounter any bugs or have suggestions, please file an issue in the Issues section of the project.

Release History

3.1.0 (2017-07-24)

  • Added a new operation job.get_task_counts to retrieve the number of tasks in each state.

  • Added suuport for inbound endpoint configuration on a pool - there is a new pool_endpoint_configuration attribute on NetworkConfiguration. This property is only supported on pools that use virtual_machine_configuration.

  • A ComputeNode now also has an endpoint_configuration attribute with the details of the applied endpoint configuration for that node.

3.0.0 (2017-05-10)

  • Added support for the new low-priority node type; AddPoolParameter and PoolSpecification now have an additional property target_low_priority_nodes.

  • target_dedicated and current_dedicated on CloudPool, AddPoolParameter and PoolSpecification have been renamed to target_dedicated_nodes and current_dedicated_nodes.

  • resize_error on CloudPool is now a collection called resize_errors.

  • Added a new is_dedicated property on ComputeNode, which is false for low-priority nodes.

  • Added a new allow_low_priority_node property to JobManagerTask, which if true allows the JobManagerTask to run on a low-priority compute node.

  • PoolResizeParameter now takes two optional parameters, target_dedicated_nodes and target_low_priority_nodes, instead of one required parameter target_dedicated. At least one of these two parameters must be specified.

  • Added support for uploading task output files to persistent storage, via the OutputFiles property on CloudTask and JobManagerTask.

  • Added support for specifying actions to take based on a task’s output file upload status, via the file_upload_error property on ExitConditions.

  • Added support for determining if a task was a success or a failure via the new result property on all task execution information objects.

  • Renamed scheduling_error on all task execution information objects to failure_information. TaskFailureInformation replaces TaskSchedulingError and is returned any time there is a task failure. This includes all previous scheduling error cases, as well as nonzero task exit codes, and file upload failures from the new output files feature.

  • Renamed SchedulingErrorCategory enum to ErrorCategory.

  • Renamed scheduling_error on ExitConditions to pre_processing_error to more clearly clarify when the error took place in the task life-cycle.

  • Added support for provisioning application licenses to your pool, via a new application_licenses property on PoolAddParameter, CloudPool and PoolSpecification. Please note that this feature is in gated public preview, and you must request access to it via a support ticket.

  • The ssh_private_key attribute of a UserAccount object has been replaced with an expanded LinuxUserConfiguration object with additional settings for a user ID and group ID of the user account.

  • Removed unmapped enum state from AddTaskStatus, CertificateFormat, CertificateVisibility, CertStoreLocation, ComputeNodeFillType, OSType, and PoolLifetimeOption as they were not ever used.

  • Improved and clarified documentation.

2.0.1 (2017-04-19)

  • This wheel package is now built with the azure wheel extension

2.0.0 (2017-02-23)

  • AAD token authentication now supported.

  • Some operation names have changed (along with their associated parameter model classes): * pool.list_pool_usage_metrics -> pool.list_usage_metrics * pool.get_all_pools_lifetime_statistics -> pool.get_all_lifetime_statistics * job.get_all_jobs_lifetime_statistics -> job.get_all_lifetime_statistics * file.get_node_file_properties_from_task -> file.get_properties_from_task * file.get_node_file_properties_from_compute_node -> file.get_properties_from_compute_node

  • The attribute ‘file_name’ in relation to file operations has been renamed to ‘file_path’.

  • Change in naming convention for enum values to use underscores: e.g. StartTaskState.waitingforstarttask -> StartTaskState.waiting_for_start_task.

  • Support for running tasks under a predefined or automatic user account. This includes tasks, job manager tasks, job preparation and release tasks and pool start tasks. This feature replaces the previous ‘run_elevated’ option on a task.

  • Tasks now have an optional scoped authentication token (only applies to tasks and job manager tasks).

  • Support for creating pools with a list of user accounts.

  • Support for creating pools using a custom VM image (only supported on accounts created with a “User Subscription” pool allocation mode).

1.1.0 (2016-09-15)

  • Added support for task reactivation

1.0.0 (2016-08-09)

  • Added support for joining a CloudPool to a virtual network on using the network_configuration property.

  • Added support for application package references on CloudTask and JobManagerTask.

  • Added support for automatically terminating jobs when all tasks complete or when a task fails, via the on_all_tasks_complete property and the CloudTask exit_conditions property.

0.30.0rc5

  • Initial Release

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

azure-batch-3.1.0.zip (300.0 kB view details)

Uploaded Source

Built Distribution

azure_batch-3.1.0-py2.py3-none-any.whl (289.8 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file azure-batch-3.1.0.zip.

File metadata

  • Download URL: azure-batch-3.1.0.zip
  • Upload date:
  • Size: 300.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for azure-batch-3.1.0.zip
Algorithm Hash digest
SHA256 a4446696392105222abe14df07d6b174572f245aa55f86fa5fc55eb3a7186900
MD5 86265db33168a0625850cd874f635889
BLAKE2b-256 9100710e92aa69e3938c46c4bd3e61a24df2904cfda70fea99f6c68485e99f4a

See more details on using hashes here.

File details

Details for the file azure_batch-3.1.0-py2.py3-none-any.whl.

File metadata

File hashes

Hashes for azure_batch-3.1.0-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 e8f0f40c49cf03388d146b5c2a0636cfb39e6405cdbde9ffe39bc67d1779fa61
MD5 e5c6b00e36d54955a68560d828fb5094
BLAKE2b-256 abe26529bd68f6fe9f5f5a38d4dbffcbea97775dfa56e33f00ae607f7bc8c837

See more details on using hashes here.

Supported by

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