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This documentation is for version v2.3 of the product.
For the latest version(v2.7) documentation click here
Version: v2.3 print this page

Schedules

Amorphic Schedule is for automating data ingestion, you can schedule batch and streaming data ingestion on a regular basis. This eliminates the need for manual intervention and ensures that data is always up-to-date. You set up custom schedules based on your specific needs.

How to create a Schedule?

Schedules Home Page

Click on + New Schedule to create schedule and fill in the information shown below.

TypeDescription
Schedule NameA unique name that identifies schedules' specific purpose
Job TypeYou can pick a specific type type from the dropdown list (Details given in the Job type table below)
Schedule TypeThere are are two schedule types
  • Time based - You can execute the schedules based on specific time as per requirement
  • On Demand - Run schedules as per the need.
Schedule expressionTime based schedules require a schedule expression. i.e., Every 15 min, daily, etc.
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If the schedule job type is 'Data Ingestion' and the dataset is of 'reload' type then schedule execution will load the data and also reload the data automatically.

TypeDescription
ETL JobThis option is used to schedule an ETL job.
JDBC CDCThis option is used to sync data between a data warehouse and S3 for change data capture (CDC) related tasks. Please note that only tasks with the "SyncToS3" option setting as "yes" will be shown and can be scheduled.
Data IngestionThis option is used to schedule a data ingestion job for normal JDBC, S3 and external API connections.
JDBC FullLoadThis option is used to schedule a JDBC Bulk Data Load full-load task.
Forecast PredictorsThis option is used to schedule a forecast predictor.
Forecast ReportsThis option is used to schedule a forecast report.
WorkflowsThis option is used to schedule a workflow.
HCLS-StoreThis option is used to schedule an import job for Healthlake Store, Omics Storage: Sequence Store, Omics Analytics: Variant Store, Annotation Store.

Schedule details

Schedule details

Once you have created a schedule, you can view it on the schedules listing page, and perform various actions on it, such as running, disabling, enabling, editing, cloning, or deleting the schedule.

Run Schedule

Schedule run

To schedule a job, you can use the Run Schedule option located at the top right corner of the page. Once you run the schedule, you can check its status under the Execution Status tab. This will tell you if the job is currently running, if it was successful, or if it failed.

Schedule execution

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Schedule execution will error out if the related S3 connection is using any of Amorphic S3 buckets as source. For ex: <projectshortname-region-accountid-env-dlz>

Schedule use case

When the schedule execution is completed, an email notification will be sent out, based on the notification setting and schedule execution status. You can also view the execution logs of each schedule run, which include Output Logs, Output Logs (Full), and Error Logs.

For example, if you need to create a schedule that runs an ETL job and sends out important emails every 4 hours, you can create a workflow with an ETL Job Node followed by a Mail Node. This workflow can then be scheduled to run every 4 hours, every day.

Schedule details