Start Pipeline¶

Start a specific stream processing pipeline.

Prerequisites¶

The stream processing pipeline is released online, and the pipeline ID is available.

Request Format¶

POST https://{apigw-address}/streaming/v2.0/streaming/pipeline/{pipelineId}?action=start

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>>

Request Parameters (Body)¶

Name	Mandatory/Optional	Data Type	Description
executionMode	Mandatory	Integer	Specify the running mode of the stream processing pipeline (0: Standalone Mode; 1: Cluster Mode).
kafkaRate	Mandatory	Integer	Specify the Kafka data read rate, by the unit of record/s. Default is 1000.
resourceConfig	Optional	JSONObject	Specify the resources for running the pipeline. For Standalone Mode, specify the amount of CUs required by the pipeline directly (for example, `2`). For Cluster Mode, specify the resourses in JSON format. For details, see Resource Config

Resource Config¶

Name

Mandatory/Optional

Data Type

Description

server

Optional

String

Specify the Server resource for running the pipeline, for example 1 (with cu as the unit by default).

yarn

Optional

JSONObject

Specify the Yarn resource for running the pipeline. The JSON body contains the following parameters:

workerCount: Count of workers, for example: 2.
master：Count of master workers, for example: 1 (with cu as the unit by default).
slave：Count of slave workers, for example: 2 (with cu as the unit by default).

advanced

Optional

JSONObject

Specify the advanced parameters for running the pipeline by Cluster Mode.

Response Parameters¶

Name	Data Type	Description
data	String	Returns an empty string upon success.

Error Code¶

Code	Error Information	Description
61100	The Stream configuration JSON is invalid.	The pipeline configuration JSON is not valid. Please check the syntax.
61108	stream processing pipeline does not exit.	Stream processing pipeline does not exist. Please check the pipeline ID.
61165	Stream processing job with status [XX] cannot be started.	The stream processing job is currently in a state that cannot be started.
61121	Another user in the organization is starting a stream processing job. Please try again later.	Only one stream processing job could be triggered in the same OU. Try again later.
61128	Your organization has not requested XX processing resource. Please request the resource and then start the jobs.	The resources of corresponding running mode have not been applied in this OU.
61126	Allocated resource is not enough to start a stream processing job. Please check the resource configuration.	The running resources configured for the stream processing job have exceeded the quota and the stream processing job cannot be started.

Sample¶

Request Sample¶

For Standalone Mode

url: https://{apigw-address}/streaming/v2.0/streaming/pipeline/{pipelineId}?action=start

method: POST

requestBody:
{
    "executionMode": 0,
    "kafkaRate": 1000,
    "resourceConfig": {
        "server": 1
    }
}

For Cluster Mode

url: https://{apigw-address}/streaming/v2.0/streaming/pipeline/{pipelineId}?action=start

method: POST

requestBody:
{
    "executionMode": 1,
    "kafkaRate": 1000,
    "resourceConfig": {
        "server": 1,
        "yarn": {
            "workerCount": 2,
            "master": 1,
            "slave": 2
        },
        "advanced": [
            {
                "key": "spark.streaming.backpressure.enabled",
                "value": "true"
            },
            {
                "key": "spark.driver.memoryOverhead",
                "value": "1000"
            },
            {
                "key": "spark.executor.memoryOverhead",
                "value": "800"
            },
            {
                "key": "spark.memory.fraction",
                "value": "0.8"
            },
            {
                "key": "spark.memory.storageFraction",
                "value": "0.7"
            }
        ]
    }
}

Return Sample¶

{
  "code": 0,
  "msg": "OK",
}

SDK Samples¶

You can access the SDK samples for stream processing service on GitHub:

Java
Python