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Zeebe command binding spec
配置
To setup Zeebe command binding create a component of type bindings.zeebe.command
. See this guide on how to create and apply a binding configuration.
See this for Zeebe documentation.
apiVersion: dapr.io/v1alpha1
kind: Component
metadata:
name: <NAME>
namespace: <NAMESPACE>
spec:
type: bindings.zeebe.command
version: v1
metadata:
- name: gatewayAddr
value: <host>:<port>
- name: gatewayKeepAlive
value: 45s
- name: usePlainTextConnection
value: true
- name: caCertificatePath
value: /path/to/ca-cert
元数据字段规范
字段 | 必填 | 绑定支持 | 详情 | Example |
---|---|---|---|---|
gatewayAddr | Y | 输出 | Zeebe gateway address | localhost:26500 |
gatewayKeepAlive | N | 输出 | Sets how often keep alive messages should be sent to the gateway. Defaults to 45 seconds | 45s |
usePlainTextConnection | N | 输出 | Whether to use a plain text connection or not | true,false |
caCertificatePath | N | 输出 | The path to the CA cert | /path/to/ca-cert |
绑定支持
字段名为 ttlInSeconds
。
topology
deploy-workflow
create-instance
cancel-instance
set-variables
resolve-incident
publish-message
activate-jobs
complete-job
fail-job
update-job-retries
throw-error
输出绑定
Zeebe uses gRPC under the hood for the Zeebe client we use in this binding. Please consult the gRPC API reference for more information: https://stage.docs.zeebe.io/reference/grpc.html
topology
The topology
operation obtains the current topology of the cluster the gateway is part of.
To perform a topology
operation, invoke the Zeebe command binding with a POST
method and the following JSON body:
{
"data": {},
"operation": "topology"
}
响应
The binding returns a JSON with the following response:
{
"brokers": [
{
"nodeId": null,
"host": "172.18.0.5",
"port": 26501,
"partitions": [
{
"partitionId": 1,
"role": null,
"health": null
}
],
"version": "0.26.0"
}
],
"clusterSize": 1,
"partitionsCount": 1,
"replicationFactor": 1,
"gatewayVersion": "0.26.0"
}
The response values are:
brokers
- list of brokers part of this clusternodeId
- unique (within a cluster) node ID for the brokerhost
- hostname of the brokerport
- port for the brokerport
- port for the brokerpartitions
- list of partitions managed or replicated on this brokerpartitionId
- the unique ID of this partitionrole
- the role of the broker for this partitionhealth
- the health of this partition
version
- broker version
clusterSize
- how many nodes are in the clusterpartitionsCount
- how many partitions are spread across the clusterreplicationFactor
- configured replication factor for this clustergatewayVersion
- gateway version
deploy-workflow
The deploy-workflow
operation deploys a single workflow to Zeebe.
To perform a deploy-workflow
operation, invoke the Zeebe command binding with a POST
method and the following JSON body:
{
"data": "YOUR_FILE_CONTENT",
"metadata": {
"fileName": "products-process.bpmn",
"fileType": "bpmn"
},
"operation": "deploy-workflow"
}
The metadata parameters are:
fileName
- the name of the workflow filefileType
- (optional) the type of the file ‘bpmn’ or ‘file’. If no type was given, the default will be recognized based on the file extension ‘bpmn’ for file extension .bpmn, for all other files it will be set to ‘file’
响应
The binding returns a JSON with the following response:
{
"key": 2251799813687320,
"workflows": [
{
"bpmnProcessId": "products-process",
"version": 3,
"workflowKey": 2251799813685895,
"resourceName": "products-process.bpmn"
}
]
}
The response values are:
key
- the unique key identifying the deploymentworkflows
- a list of deployed workflowsbpmnProcessId
- the bpmn process ID, as parsed during deployment; together with the version forms a unique identifier for a specific workflow definitionversion
- the assigned process versionworkflowKey
- the assigned key, which acts as a unique identifier for this workflowresourceName
- the resource name from which this workflow was parsed
create-instance
The create-instance
operation creates and starts an instance of the specified workflow. The workflow definition to use to create the instance can be specified either using its unique key (as returned by the deploy-workflow
operation), or using the BPMN process ID and a version.
Note that only workflows with none start events can be started through this command.
By BPMN process ID
To perform a create-instance
operation, invoke the Zeebe command binding with a POST
method and the following JSON body:
{
"data": {
"bpmnProcessId": "products-process",
"variables": {
"productId": "some-product-id",
"productName": "some-product-name",
"productKey": "some-product-key"
}
},
"operation": "create-instance"
}
The data parameters are:
bpmnProcessId
- the BPMN process ID of the workflow definition to instantiateversion
- (optional, default: latest version) the version of the process to instantiatevariables
- (optional) JSON document that will instantiate the variables for the root variable scope of the workflow instance; it must be a JSON object, as variables will be mapped in a key-value fashion. e.g. { “a”: 1, “b”: 2 } will create two variables, named “a” and “b” respectively, with their associated values. [{ “a”: 1, “b”: 2 }] would not be a valid argument, as the root of the JSON document is an array and not an object
By workflow key
To perform a create-instance
operation, invoke the Zeebe command binding with a POST
method and the following JSON body:
{
"data": {
"workflowKey": 2251799813685895,
"variables": {
"productId": "some-product-id",
"productName": "some-product-name",
"productKey": "some-product-key"
}
},
"operation": "create-instance"
}
The data parameters are:
workflowKey
- the unique key identifying the workflow definition to instantiatevariables
- (optional) JSON document that will instantiate the variables for the root variable scope of the workflow instance; it must be a JSON object, as variables will be mapped in a key-value fashion. e.g. { “a”: 1, “b”: 2 } will create two variables, named “a” and “b” respectively, with their associated values. [{ “a”: 1, “b”: 2 }] would not be a valid argument, as the root of the JSON document is an array and not an object
响应
The binding returns a JSON with the following response:
{
"workflowKey": 2251799813685895,
"bpmnProcessId": "products-process",
"version": 3,
"workflowInstanceKey": 2251799813687851
}
The response values are:
workflowKey
- the key of the workflow definition which was used to create the workflow instancebpmnProcessId
- the BPMN process ID of the workflow definition which was used to create the workflow instanceversion
- the version of the workflow definition which was used to create the workflow instanceworkflowInstanceKey
- the unique identifier of the created workflow instance
cancel-instance
The cancel-instance
operation cancels a running workflow instance.
To perform a cancel-instance
operation, invoke the Zeebe command binding with a POST
method and the following JSON body:
{
"data": {
"workflowInstanceKey": 2251799813687851
},
"metadata": {},
"operation": "cancel-instance"
}
The data parameters are:
workflowInstanceKey
- the workflow instance key
响应
The binding does not return a response body.
set-variables
The set-variables
operation creates or updates variables for an element instance (e.g. workflow instance, flow element instance).
To perform a set-variables
operation, invoke the Zeebe command binding with a POST
method and the following JSON body:
{
"data": {
"elementInstanceKey": 2251799813687880,
"variables": {
"productId": "some-product-id",
"productName": "some-product-name",
"productKey": "some-product-key"
}
},
"metadata": {},
"operation": "set-variables"
}
The data parameters are:
elementInstanceKey
- the unique identifier of a particular element; can be the workflow instance key (as obtained during instance creation), or a given element, such as a service task (see elementInstanceKey on the job message)local
- (optional, default:false
) if true, the variables will be merged strictly into the local scope (as indicated by elementInstanceKey); this means the variables is not propagated to upper scopes. for example, let’s say we have two scopes, ‘1’ and ‘2’, with each having effective variables as: 1 =>{ "foo" : 2 }
, and 2 =>{ "bar" : 1 }
. if we send an update request with elementInstanceKey = 2, variables{ "foo" : 5 }
, and local is true, then scope 1 will be unchanged, and scope 2 will now be{ "bar" : 1, "foo" 5 }
. if local was false, however, then scope 1 would be{ "foo": 5 }
, and scope 2 would be{ "bar" : 1 }
variables
- a JSON serialized document describing variables as key value pairs; the root of the document must be an object
响应
The binding returns a JSON with the following response:
{
"key": 2251799813687896
}
The response values are:
key
- the unique key of the set variables command
resolve-incident
The resolve-incident
operation resolves an incident.
To perform a resolve-incident
operation, invoke the Zeebe command binding with a POST
method and the following JSON body:
{
"data": {
"incidentKey": 2251799813686123
},
"metadata": {},
"operation": "resolve-incident"
}
The data parameters are:
incidentKey
- the unique ID of the incident to resolve
响应
The binding does not return a response body.
publish-message
The publish-message
operation publishes a single message. Messages are published to specific partitions computed from their correlation keys.
To perform a publish-message
operation, invoke the Zeebe command binding with a POST
method and the following JSON body:
{
"messageName": "",
"correlationKey": "2",
"timeToLive": "1m",
"variables": {
"productId": "some-product-id",
"productName": "some-product-name",
"productKey": "some-product-key"
}
}
The data parameters are:
messageName
- the name of the messagecorrelationKey
- (optional) the correlation key of the messagetimeToLive
- (optional) how long the message should be buffered on the brokermessageId
- (optional) the unique ID of the message; can be omitted. only useful to ensure only one message with the given ID will ever be published (during its lifetime)variables
- (optional) the message variables as a JSON document; to be valid, the root of the document must be an object, e.g. { “a”: “foo” }. [ “foo” ] would not be valid
响应
The binding returns a JSON with the following response:
{
"key": 2251799813688225
}
The response values are:
key
- the unique ID of the message that was published
activate-jobs
The activate-jobs
operation iterates through all known partitions round-robin and activates up to the requested maximum and streams them back to the client as they are activated.
To perform a activate-jobs
operation, invoke the Zeebe command binding with a POST
method and the following JSON body:
{
"data": {
"jobType": "fetch-products",
"maxJobsToActivate": 5,
"timeout": "5m",
"workerName": "products-worker",
"fetchVariables": [
"productId",
"productName",
"productKey"
]
},
"metadata": {},
"operation": "activate-jobs"
}
The data parameters are:
jobType
- the job type, as defined in the BPMN process (e.g.<zeebe:taskDefinition type="fetch-products" />
)maxJobsToActivate
- the maximum jobs to activate by this requesttimeout
- (optional, default: 5 minutes) a job returned after this call will not be activated by another call until the timeout has been reachedworkerName
- (optional, default:default
) the name of the worker activating the jobs, mostly used for logging purposesfetchVariables
- (optional) a list of variables to fetch as the job variables; if empty, all visible variables at the time of activation for the scope of the job will be returned
响应
The binding returns a JSON with the following response:
[
{
}
]
The response values are:
key
- the key, a unique identifier for the jobtype
- the type of the job (should match what was requested)workflowInstanceKey
- the job’s workflow instance keybpmnProcessId
- the bpmn process ID of the job workflow definitionworkflowDefinitionVersion
- the version of the job workflow definitionworkflowKey
- the key of the job workflow definitionelementId
- the associated task element IDelementInstanceKey
- the unique key identifying the associated task, unique within the scope of the workflow instancecustomHeaders
- a set of custom headers defined during modelling; returned as a serialized JSON documentworker
- the name of the worker which activated this jobretries
- the amount of retries left to this job (should always be positive)deadline
- when the job can be activated again, sent as a UNIX epoch timestampvariables
- JSON document, computed at activation time, consisting of all visible variables to the task scope
complete-job
The complete-job
operation completes a job with the given payload, which allows completing the associated service task.
To perform a complete-job
operation, invoke the Zeebe command binding with a POST
method and the following JSON body:
{
"data": {
"jobKey": 2251799813686172,
"variables": {
"productId": "some-product-id",
"productName": "some-product-name",
"productKey": "some-product-key"
}
},
"metadata": {},
"operation": "complete-job"
}
The data parameters are:
jobKey
- the unique job identifier, as obtained from the activate jobs responsevariables
- (optional) a JSON document representing the variables in the current task scope
响应
The binding does not return a response body.
fail-job
The fail-job
operation marks the job as failed; if the retries argument is positive, then the job will be immediately activatable again, and a worker could try again to process it. If it is zero or negative however, an incident will be raised, tagged with the given errorMessage, and the job will not be activatable until the incident is resolved.
To perform a fail-job
operation, invoke the Zeebe command binding with a POST
method and the following JSON body:
{
"data": {
"jobKey": 2251799813685739,
"retries": 5,
"errorMessage": "some error occured"
},
"metadata": {},
"operation": "fail-job"
}
The data parameters are:
jobKey
- the unique job identifier, as obtained when activating the jobretries
- the amount of retries the job should have lefterrorMessage
- (optional) an message describing why the job failed this is particularly useful if a job runs out of retries and an incident is raised, as it this message can help explain why an incident was raised
响应
The binding does not return a response body.
update-job-retries
The update-job-retries
operation updates the number of retries a job has left. This is mostly useful for jobs that have run out of retries, should the underlying problem be solved.
To perform a update-job-retries
operation, invoke the Zeebe command binding with a POST
method and the following JSON body:
{
"data": {
"jobKey": 2251799813686172,
"retries": 10
},
"metadata": {},
"operation": "update-job-retries"
}
The data parameters are:
jobKey
- the unique job identifier, as obtained through the activate-jobs operationretries
- the new amount of retries for the job; must be positive
响应
The binding does not return a response body.
throw-error
The throw-error
operation throw an error to indicate that a business error is occurred while processing the job. The error is identified by an error code and is handled by an error catch event in the workflow with the same error code.
To perform a throw-error
operation, invoke the Zeebe command binding with a POST
method and the following JSON body:
{
"data": {
"jobKey": 2251799813686172,
"errorCode": "product-fetch-error",
"errorMessage": "The product could not be fetched"
},
"metadata": {},
"operation": "throw-error"
}
The data parameters are:
jobKey
- the unique job identifier, as obtained when activating the joberrorCode
- the error code that will be matched with an error catch eventerrorMessage
- (optional) an error message that provides additional context
响应
The binding does not return a response body.
相关链接
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