Account_ListPoolNodeCounts
Gets the number of nodes in each state, grouped by pool.
Gets the number of nodes in each state, grouped by pool.
Note that each task must have a unique ID. The Batch service may not return the results for each task in the same order the tasks were submitted in this request. If the server times out or the connection is closed during the request, the request may have been partially or fully processed, or not at all. In such cases, the user should re-issue the request. Note that it is up to the user to correctly handle failures when re-issuing a request. For example, you should use the same task IDs during a retry so that if the prior operation succeeded, the retry will not create extra tasks unexpectedly. If the response contains any tasks which failed to add, a client can retry the request. In a retry, it is most efficient to resubmit only tasks that failed to add, and to omit tasks that were successfully added on the first attempt. The maximum lifetime of a task from addition to completion is 7 days. If a task has not completed within 7 days of being added it will be terminated by the Batch service and left in whatever state it was in at that time.
The Batch service supports two ways to control the work done as part of a job. In the first approach, the user specifies a Job Manager task. The Batch service launches this task when it is ready to start the job. The Job Manager task controls all other tasks that run under this job, by using the Task APIs. In the second approach, the user directly controls the execution of tasks under an active job, by using the Task APIs. Also note: when naming jobs, avoid including sensitive information such as user names or secret project names. This information may appear in telemetry logs accessible to Microsoft Support engineers.
When naming pools, avoid including sensitive information such as user names or secret project names. This information may appear in telemetry logs accessible to Microsoft Support engineers.
The maximum lifetime of a task from addition to completion is 7 days. If a task has not completed within 7 days of being added it will be terminated by the Batch service and left in whatever state it was in at that time.
You can add a user account to a node only when it is in the idle or running state.
If you try to delete a certificate that is being used by a pool or compute node, the status of the certificate changes to deleteFailed. If you decide that you want to continue using the certificate, you can use this operation to set the status of the certificate back to active. If you intend to delete the certificate, you do not need to run this operation after the deletion failed. You must make sure that the certificate is not being used by any resources, and then you can try again to delete the certificate.
Gets information about the specified certificate.
You can only resize a pool when its allocation state is steady. If the pool is already resizing, the request fails with status code 409. When you resize a pool, the pool's allocation state changes from steady to resizing. You cannot resize pools which are configured for automatic scaling. If you try to do this, the Batch service returns an error 409. If you resize a pool downwards, the Batch service chooses which nodes to remove. To remove specific nodes, use the pool remove nodes API instead.
You cannot delete a certificate if a resource (pool or compute node) is using it. Before you can delete a certificate, you must therefore make sure that the certificate is not associated with any existing pools, the certificate is not installed on any compute nodes (even if you remove a certificate from a pool, it is not removed from existing compute nodes in that pool until they restart), and no running tasks depend on the certificate. If you try to delete a certificate that is in use, the deletion fails. The certificate status changes to deleteFailed. You can use Cancel Delete Certificate to set the status back to active if you decide that you want to continue using the certificate.
When you delete a job schedule, this also deletes all jobs and tasks under that schedule. When tasks are deleted, all the files in their working directories on the compute nodes are also deleted (the retention period is ignored). The job schedule statistics are no longer accessible once the job schedule is deleted, though they are still counted towards account lifetime statistics.
Deleting a job also deletes all tasks that are part of that job, and all job statistics. This also overrides the retention period for task data; that is, if the job contains tasks which are still retained on compute nodes, the Batch services deletes those tasks' working directories and all their contents. When a Delete Job request is received, the Batch service sets the job to the deleting state. All update operations on a job that is in deleting state will fail with status code 409 (Conflict), with additional information indicating that the job is being deleted.
When you request that a pool be deleted, the following actions occur: the pool state is set to deleting; any ongoing resize operation on the pool are stopped; the Batch service starts resizing the pool to zero nodes; any tasks running on existing nodes are terminated and requeued (as if a resize pool operation had been requested with the default requeue option); finally, the pool is removed from the system. Because running tasks are requeued, the user can rerun these tasks by updating their job to target a different pool. The tasks can then run on the new pool. If you want to override the requeue behavior, then you should call resize pool explicitly to shrink the pool to zero size before deleting the pool. If you call an Update, Patch or Delete API on a pool in the deleting state, it will fail with HTTP status code 409 with error code PoolBeingDeleted.
When a task is deleted, all of the files in its directory on the compute node where it ran are also deleted (regardless of the retention time). For multi-instance tasks, the delete task operation applies synchronously to the primary task; subtasks and their files are then deleted asynchronously in the background.
You can delete a user account to a node only when it is in the idle or running state.
No new jobs will be created until the job schedule is enabled again.
You can disable task scheduling on a node only if its current scheduling state is enabled.
The Batch Service immediately moves the job to the disabling state. Batch then uses the disableTasks parameter to determine what to do with the currently running tasks of the job. The job remains in the disabling state until the disable operation is completed and all tasks have been dealt with according to the disableTasks option; the job then moves to the disabled state. No new tasks are started under the job until it moves back to active state. If you try to disable a job that is in any state other than active, disabling, or disabled, the request fails with status code 409.
You cannot enable automatic scaling on a pool if a resize operation is in progress on the pool. If automatic scaling of the pool is currently disabled, you must specify a valid autoscale formula as part of the request. If automatic scaling of the pool is already enabled, you may specify a new autoscale formula and/or a new evaluation interval. You cannot call this API for the same pool more than once every 30 seconds.
You can enable task scheduling on a node only if its current scheduling state is disabled
When you call this API, the Batch service sets a disabled job to the enabling state. After the this operation is completed, the job moves to the active state, and scheduling of new tasks under the job resumes. The Batch service does not allow a task to remain in the active state for more than 7 days. Therefore, if you enable a job containing active tasks which were added more than 7 days ago, those tasks will not run.
Returns the content of the specified compute node file.
Returns the content of the specified task file.
This operation returns only applications and versions that are available for use on compute nodes; that is, that can be used in an application package reference. For administrator information about applications and versions that are not yet available to compute nodes, use the Azure portal or the Azure Resource Manager API.
For multi-instance tasks, information such as affinityId, executionInfo and nodeInfo refer to the primary task. Use the list subtasks API to retrieve information about subtasks.
Statistics are aggregated across all jobs that have ever existed in the account, from account creation to the last update time of the statistics. The statistics may not be immediately available. The Batch service performs periodic roll-up of statistics. The typical delay is about 30 minutes.
Statistics are aggregated across all pools that have ever existed in the account, from account creation to the last update time of the statistics. The statistics may not be immediately available. The Batch service performs periodic roll-up of statistics. The typical delay is about 30 minutes.
Before you can access a node by using the RDP file, you must create a user account on the node. This API can only be invoked on pools created with a cloud service configuration. For pools created with a virtual machine configuration, see the GetRemoteLoginSettings API.
This API is primarily for validating an autoscale formula, as it simply returns the result without applying the formula to the pool. The pool must have auto scaling enabled in order to evaluate a formula.
Before you can remotely login to a node using the remote login settings, you must create a user account on the node. This API can be invoked only on pools created with the virtual machine configuration property. For pools created with a cloud service configuration, see the GetRemoteDesktop API.
Task counts provide a count of the tasks by active, running or completed task state, and a count of tasks which succeeded or failed. Tasks in the preparing state are counted as running.
Gets information about the specified job schedule.
This operation returns only applications and versions that are available for use on compute nodes; that is, that can be used in an application package reference. For administrator information about applications and versions that are not yet available to compute nodes, use the Azure portal or the Azure Resource Manager API.
If the task is not a multi-instance task then this returns an empty collection.
For multi-instance tasks, information such as affinityId, executionInfo and nodeInfo refer to the primary task. Use the list subtasks API to retrieve information about subtasks.
This API returns the Job Preparation and Job Release task status on all compute nodes that have run the Job Preparation or Job Release task. This includes nodes which have since been removed from the pool. If this API is invoked on a job which has no Job Preparation or Job Release task, the Batch service returns HTTP status code 409 (Conflict) with an error code of JobPreparationTaskNotSpecified.
If you do not specify a $filter clause including a poolId, the response includes all pools that existed in the account in the time range of the returned aggregation intervals. If you do not specify a $filter clause including a startTime or endTime these filters default to the start and end times of the last aggregation interval currently available; that is, only the last aggregation interval is returned.
Gets information about the specified pool.
Reactivation makes a task eligible to be retried again up to its maximum retry count. The task's state is changed to active. As the task is no longer in the completed state, any previous exit code or failure information is no longer available after reactivation. Each time a task is reactivated, its retry count is reset to 0. Reactivation will fail for tasks that are not completed or that previously completed successfully (with an exit code of 0). Additionally, it will fail if the job has completed (or is terminating or deleting).
You can reinstall the operating system on a node only if it is in an idle or running state. This API can be invoked only on pools created with the cloud service configuration property.
You can restart a node only if it is in an idle or running state.
This does not restore the pool to its previous state before the resize operation: it only stops any further changes being made, and the pool maintains its current state. After stopping, the pool stabilizes at the number of nodes it was at when the stop operation was done. During the stop operation, the pool allocation state changes first to stopping and then to steady. A resize operation need not be an explicit resize pool request; this API can also be used to halt the initial sizing of the pool when it is created.
When a Terminate Job request is received, the Batch service sets the job to the terminating state. The Batch service then terminates any running tasks associated with the job and runs any required job release tasks. Then the job moves into the completed state. If there are any tasks in the job in the active state, they will remain in the active state. Once a job is terminated, new tasks cannot be added and any remaining active tasks will not be scheduled.
When the task has been terminated, it moves to the completed state. For multi-instance tasks, the terminate task operation applies synchronously to the primary task; subtasks are then terminated asynchronously in the background.
This operation replaces of all the updatable properties of the account. For example, if the expiryTime element is not specified, the current value is replaced with the default value, not left unmodified. You can update a user account on a node only when it is in the idle or running state.
This replaces only the job schedule properties specified in the request. For example, if the schedule property is not specified with this request, then the Batch service will keep the existing schedule. Changes to a job schedule only impact jobs created by the schedule after the update has taken place; currently running jobs are unaffected.
This fully replaces all the updatable properties of the job schedule. For example, if the schedule property is not specified with this request, then the Batch service will remove the existing schedule. Changes to a job schedule only impact jobs created by the schedule after the update has taken place; currently running jobs are unaffected.
This replaces only the job properties specified in the request. For example, if the job has constraints, and a request does not specify the constraints element, then the job keeps the existing constraints.
This fully replaces all the updatable properties of the job. For example, if the job has constraints associated with it and if constraints is not specified with this request, then the Batch service will remove the existing constraints.
This only replaces the pool properties specified in the request. For example, if the pool has a start task associated with it, and a request does not specify a start task element, then the pool keeps the existing start task.
This fully replaces all the updatable properties of the pool. For example, if the pool has a start task associated with it and if start task is not specified with this request, then the Batch service will remove the existing start task.
During an upgrade, the Batch service upgrades each compute node in the pool. When a compute node is chosen for upgrade, any tasks running on that node are removed from the node and returned to the queue to be rerun later (or on a different compute node). The node will be unavailable until the upgrade is complete. This operation results in temporarily reduced pool capacity as nodes are taken out of service to be upgraded. Although the Batch service tries to avoid upgrading all compute nodes at the same time, it does not guarantee to do this (particularly on small pools); therefore, the pool may be temporarily unavailable to run tasks. When this operation runs, the pool state changes to upgrading. When all compute nodes have finished upgrading, the pool state returns to active. While the upgrade is in progress, the pool's currentOSVersion reflects the OS version that nodes are upgrading from, and targetOSVersion reflects the OS version that nodes are upgrading to. Once the upgrade is complete, currentOSVersion is updated to reflect the OS version now running on all nodes. This operation can only be invoked on pools created with the cloudServiceConfiguration property.
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