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  1. Introducing Mass Ingestion
  2. Getting Started with Mass Ingestion
  3. Connectors and Connections
  4. Mass Ingestion Applications
  5. Mass Ingestion Databases
  6. Mass Ingestion Files
  7. Mass Ingestion Streaming
  8. Monitoring Mass Ingestion Jobs
  9. Asset Management
  10. Troubleshooting

Mass Ingestion

Mass Ingestion

status

status

Use the status resource to get the status of a
streaming ingestion
job.

GET request

To request the status of a
streaming ingestion
job, use the following URL:
<server URI>/sisvc/monitor/v1/status/dataflows/<dataflow ID>

GET request example

To get the status of a
streaming ingestion
job, you might send a request similar to the following example:
POST https://usw1-ing.dm2-us.informaticacloud.com/sisvc/monitor/v1/status/dataflows/1948938e-3923-4602-aba8-f122e3d66faf Content-Type: application/json Accept:application/json IDS-SESSION-ID:2l0oeVx22Rujiej7yTokmT

GET response

Returns the job status object if successful or an error object if an error occurs.
If successful, the response includes the following information about the status of a
streaming ingestion
job:
Parameter
Type
Description
dataflowName
String
Name of the
streaming ingestion
job.
dataflowId
Integer
ID of the
streaming ingestion
job.
status
String
The status of the
streaming ingestion
job. A job can be in one of the following status:
  • Deploying. The job is being deployed.
  • Up and Running. The job is running.
  • Running with Warning. The job is running with warnings.
  • Running with Error. The job is running with error.
  • Undeployed. The job is undeployed.
  • Stopped. The job was intentionally stopped.
timestamp
Integer
Time, in milliseconds, when the Secure Agent records the status of the
streaming ingestion
job.
reports
Array
Status details of each node.
graph
String
The throughput information for the source and target of the job.
runId
Integer
Run ID of the
streaming ingestion
job. The ID changes for every deployment.

GET response example

If the request to get the status of a
streaming ingestion
job is successful, you might receive a response similar to the following example:
{ "dataflowName": "testmonitor", "dataflowId": "1948938e-3923-4602-aba8-f122e3d66faf", "status": "Running", "timestamp": 1644839755000, "reports": [ { "name": "testmonitor_testmonitor_source", "id": "a5684428-f41f-4d24-b73f-33c232314a91", "status": "Running", "timestamp": 1644839756000, "message": null }, { "name": "testmonitor_testmonitor_target", "id": "4f59b5fb-b5b2-4b83-994b-0d3e56f67e22", "status": "Running", "timestamp": 1644839756000, "message": null } ], "graph": "{\"agentId\":\"011ZFB0800000000000N\",\"nodes\":[{\"id\":\"a5684428-f41f-4d24-b73f-33c232314a91\",\"name\":\"testmonitor_source\",\"serviceType\":\"source\",\"config\":[{\"key\":\"_nativeName\",\"value\":\"src\"},{\"key\":\"consumerProperties\",\"value\":null}],\"connectionId\":\"011ZFB0B0000000000KJ\",\"type\":\"\",\"metaMetadata\":\"\"},{\"id\":\"4f59b5fb-b5b2-4b83-994b-0d3e56f67e22\",\"name\":\"testmonitor_target\",\"serviceType\":\"target\",\"config\":[{\"key\":\"_nativeName\",\"value\":\"trgt\"},{\"key\":\"batchSize\",\"value\":\"1048576\"},{\"key\":\"mdFetchTimeout\",\"value\":\"5000\"},{\"key\":\"producerProperties\",\"value\":null}],\"connectionId\":\"011ZFB0B0000000000KJ\",\"type\":\"\",\"metaMetadata\":\"\"}],\"edges\":[{\"id\":\"6ae185ea-7e6e-4bf6-bd9e-0be5ef3a8e78\",\"name\":\"testmonitor_source_testmonitor_target\",\"from\":\"testmonitor_source\",\"to\":\"testmonitor_target\",\"type\":\"success\",\"config\":[],\"metaMetadata\":\"\"}],\"runtimeOptions\":null}", "version": 1, "runId": 42563 }

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