Get Pipeline Offset and Lag¶
Get the Kafka Offset and Lag of a specific stream processing pipeline.
Prerequisites¶
A stream processing pipeline is created with the Stream Processing service, and the status of the pipeline is RUNNING.
Request Format¶
GET https://{apigw-address}/streaming/v2.0/streaming/pipeline/{pipelineId}/offset-lag
Request Parameters (URI)¶
Name |
Location (Path/Query) |
Mandatory/Optional |
Data Type |
Description |
---|---|---|---|---|
pipelineId |
Path |
Mandatory |
String |
The stream processing pipeline ID, which can be found on the EnOS Management Console > Stream Processing > Stream Operation page. |
orgId |
Query |
Mandatory |
String |
The organization ID. How to get the orgId>> |
Response Parameters¶
Name |
Data Type |
Description |
---|---|---|
data |
List<JSONObject> |
The Offset and Lag information of the stream processing pipeline. For details, see data |
data¶
Name |
Data Type |
Description |
---|---|---|
pipelineId |
String |
Stream processing pipeline ID. |
topicName |
String |
Kafka Topic name. |
lagAndOffset |
JSONObject |
List of lag and offset information of the specified stream processing pipeline. For details, see Lag and Offset |
Lag and Offset¶
Name |
Data Type |
Description |
---|---|---|
lag |
String |
Lag of the current time. |
offset |
String |
Offset of the current time. |
ts |
Long |
Timestamp. |
Error Code¶
Code |
Error Information |
Description |
---|---|---|
61108 |
Stream processing job does not exist. |
Stream processing pipeline does not exist. Please check the pipeline ID. |
99000 |
Internal Server Error. |
Internal service error. |
Sample¶
Request Sample¶
url: https://{apigw-address}/streaming/v2.0/streaming/pipeline/{pipelineId}/offset-lag?orgId=yourOrgId
method: GET
Return Sample¶
{
"code": 0,
"msg": "OK",
"data": {
"topicName": "MEASURE_POINT_INTERNAL_o15517683199241",
"lagAndOffset": [
{
"lag": 0,
"offset": 6094977,
"ts": 1616759448328
},
{
"lag": 0,
"offset": 6094977,
"ts": 1616759673388
}
],
"pipelineId": "565c0114-9585-4372-86d1-50dde5ab8ce4"
}
}
SDK Samples¶
You can access the SDK samples for stream processing service on GitHub: