aws_transcoder
Summary
Functions
-
cancel_job(Client, Id, Input)
The CancelJob operation cancels an unfinished job.
- cancel_job(Client, Id, Input0, Options)
-
create_job(Client, Input)
When you create a job, Elastic Transcoder returns JSON data that includes the values that you specified plus information about the job that is created.
- create_job(Client, Input0, Options)
-
create_pipeline(Client, Input)
The CreatePipeline operation creates a pipeline with settings that you specify.
- create_pipeline(Client, Input0, Options)
-
create_preset(Client, Input)
The CreatePreset operation creates a preset with settings that you specify.
- create_preset(Client, Input0, Options)
-
delete_pipeline(Client, Id, Input)
The DeletePipeline operation removes a pipeline.
- delete_pipeline(Client, Id, Input0, Options)
-
delete_preset(Client, Id, Input)
The DeletePreset operation removes a preset that you've added in an AWS region.
- delete_preset(Client, Id, Input0, Options)
-
list_jobs_by_pipeline(Client, PipelineId)
The ListJobsByPipeline operation gets a list of the jobs currently in a pipeline.
- list_jobs_by_pipeline(Client, PipelineId, Options)
-
list_jobs_by_status(Client, Status)
The ListJobsByStatus operation gets a list of jobs that have a specified status.
- list_jobs_by_status(Client, Status, Options)
-
list_pipelines(Client)
The ListPipelines operation gets a list of the pipelines associated with the current AWS account.
- list_pipelines(Client, Options)
-
list_presets(Client)
The ListPresets operation gets a list of the default presets included with Elastic Transcoder and the presets that you've added in an AWS region.
- list_presets(Client, Options)
-
read_job(Client, Id)
The ReadJob operation returns detailed information about a job.
- read_job(Client, Id, Options)
-
read_pipeline(Client, Id)
The ReadPipeline operation gets detailed information about a pipeline.
- read_pipeline(Client, Id, Options)
-
read_preset(Client, Id)
The ReadPreset operation gets detailed information about a preset.
- read_preset(Client, Id, Options)
-
test_role(Client, Input)
The TestRole operation tests the IAM role used to create the pipeline.
- test_role(Client, Input0, Options)
-
update_pipeline(Client, Id, Input)
Use the
UpdatePipeline
operation to update settings for a pipeline. - update_pipeline(Client, Id, Input0, Options)
-
update_pipeline_notifications(Client, Id, Input)
With the UpdatePipelineNotifications operation, you can update Amazon Simple Notification Service (Amazon SNS) notifications for a pipeline.
- update_pipeline_notifications(Client, Id, Input0, Options)
-
update_pipeline_status(Client, Id, Input)
The UpdatePipelineStatus operation pauses or reactivates a pipeline, so that the pipeline stops or restarts the processing of jobs.
- update_pipeline_status(Client, Id, Input0, Options)
Functions
cancel_job(Client, Id, Input)
The CancelJob operation cancels an unfinished job.
Submitted
. To prevent a pipeline from starting to process a
job while you're getting the job identifier, use
UpdatePipelineStatus to temporarily pause the pipeline.
cancel_job(Client, Id, Input0, Options)
create_job(Client, Input)
When you create a job, Elastic Transcoder returns JSON data that includes the values that you specified plus information about the job that is created.
If you have specified more than one output for your jobs (for example, one output for the Kindle Fire and another output for the Apple iPhone 4s), you currently must use the Elastic Transcoder API to list the jobs (as opposed to the AWS Console).create_job(Client, Input0, Options)
create_pipeline(Client, Input)
The CreatePipeline operation creates a pipeline with settings that you specify.
create_pipeline(Client, Input0, Options)
create_preset(Client, Input)
The CreatePreset operation creates a preset with settings that you specify.
ValidationException
) and does not create the preset. If the
settings are valid for Elastic Transcoder but aren't strictly compliant
with the H.264 standard, Elastic Transcoder creates the preset and returns
a warning message in the response. This helps you determine whether your
settings comply with the H.264 standard while giving you greater
flexibility with respect to the video that Elastic Transcoder produces.
create_preset(Client, Input0, Options)
delete_pipeline(Client, Id, Input)
The DeletePipeline operation removes a pipeline.
You can only delete a pipeline that has never been used or that is not currently in use (doesn't contain any active jobs). If the pipeline is currently in use,DeletePipeline
returns an error.
delete_pipeline(Client, Id, Input0, Options)
delete_preset(Client, Id, Input)
The DeletePreset operation removes a preset that you've added in an AWS region.
delete_preset(Client, Id, Input0, Options)
list_jobs_by_pipeline(Client, PipelineId)
The ListJobsByPipeline operation gets a list of the jobs currently in a pipeline.
Elastic Transcoder returns all of the jobs currently in the specified pipeline. The response body contains one element for each job that satisfies the search criteria.list_jobs_by_pipeline(Client, PipelineId, Options)
list_jobs_by_status(Client, Status)
The ListJobsByStatus operation gets a list of jobs that have a specified status. The response body contains one element for each job that satisfies the search criteria.
list_jobs_by_status(Client, Status, Options)
list_pipelines(Client)
The ListPipelines operation gets a list of the pipelines associated with the current AWS account.
list_pipelines(Client, Options)
list_presets(Client)
The ListPresets operation gets a list of the default presets included with Elastic Transcoder and the presets that you've added in an AWS region.
list_presets(Client, Options)
read_job(Client, Id)
The ReadJob operation returns detailed information about a job.
read_job(Client, Id, Options)
read_pipeline(Client, Id)
The ReadPipeline operation gets detailed information about a pipeline.
read_pipeline(Client, Id, Options)
read_preset(Client, Id)
The ReadPreset operation gets detailed information about a preset.
read_preset(Client, Id, Options)
test_role(Client, Input)
The TestRole operation tests the IAM role used to create the pipeline.
TheTestRole
action lets you determine whether the IAM role
you are using has sufficient permissions to let Elastic Transcoder perform
tasks associated with the transcoding process. The action attempts to
assume the specified IAM role, checks read access to the input and output
buckets, and tries to send a test notification to Amazon SNS topics that
you specify.
test_role(Client, Input0, Options)
update_pipeline(Client, Id, Input)
Use the UpdatePipeline
operation to update settings for
a pipeline.
update_pipeline(Client, Id, Input0, Options)
update_pipeline_notifications(Client, Id, Input)
With the UpdatePipelineNotifications operation, you can update Amazon Simple Notification Service (Amazon SNS) notifications for a pipeline.
When you update notifications for a pipeline, Elastic Transcoder returns the values that you specified in the request.update_pipeline_notifications(Client, Id, Input0, Options)
update_pipeline_status(Client, Id, Input)
The UpdatePipelineStatus operation pauses or reactivates a pipeline, so that the pipeline stops or restarts the processing of jobs.
Changing the pipeline status is useful if you want to cancel one or more jobs. You can't cancel jobs after Elastic Transcoder has started processing them; if you pause the pipeline to which you submitted the jobs, you have more time to get the job IDs for the jobs that you want to cancel, and to send a CancelJob request.