orchestrator | executing tasks and dependencies in maximum concurrency | Architecture library
kandi X-RAY | orchestrator Summary
kandi X-RAY | orchestrator Summary
A module for sequencing and executing tasks and dependencies in maximum concurrency.
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of orchestrator
orchestrator Key Features
orchestrator Examples and Code Snippets
Lines of Code : 34License : Permissive (MIT)
Copyvar util = require('util');
var Orchestrator = require('uipath-orchestrator');
var orchestrator = new Orchestrator({
tenancyName: 'test', // The Orchestrator Tenancy
usernameOrEmailAddress: 'xxx',// The Orchestrator login
pas import { createOrchestrator } from 'conveyor-mq';
// Create an orchestrator:
const orchestrator = createOrchestrator({
queue: 'my-queue',
redisConfig: { host: 'localhost', port: 6379 },
});
License : No LicenseCopynpx orchestrator --config "/path/to/config.json"
npx orchestrator --config ./src/config.json --parallelizm 2 --environment '{"DOCKER_TAG":"master_283"}' --browsers "[chrome, firefox]" --specs "[alerts.js, avatar.js]"
public static Long fanOutFanIn(
final List requests, final Consumer consumer) {
ExecutorService service = Executors.newFixedThreadPool(requests.size());
// fanning out
List> futures =
requests.stream()
.map( $ docker context ls
NAME DESCRIPTION DOCKER ENDPOINT KUBERNETES ENDPOINT ORCHESTRATOR
default * Current... unix:///var/run/docker.sock swarm
app.get('/robots', function (req, res) {
...
var orchestrator = require('./authenticate');
var results = {};
var apiQuery= {};
orchestrator.get('/odata/Robots', apiQuery, function (err, data) {
for (row in data) {
resulkubectl get IPPool --all-namespaces
NAME AGE
default-ipv4-ippool 15d
kubectl get IPPool default-ipv4-ippool -o yaml
~ calicoctl get nodes
NAME
node1
node2
node3
node4
~ calicoctl get defaultConfig {
...
testInstrumentationRunner = 'android.support.test.runner.AndroidJUnitRunner'
// The following argument makes the Android Test Orchestrator run its
// "pm clear" command after each test invocation. This android {
defaultConfig {
...
testInstrumentationRunner "androidx.test.runner.AndroidJUnitRunner"
// The following argument makes the Android Test Orchestrator run its
// "pm clear" command after each test invocation. This c Orchestrator orch = new Orchestrator(service, Arrays.asList(response1));
Orchestrator orch = new Orchestrator(service, Arrays.asList(response1));
Community Discussions
Trending Discussions on orchestrator
QUESTION
How to publish two messages of the same type to different worker instances based on the message content without using Send and RequestAddress?
My scenario is:
I am using Azure ServiceBus and Azure StorageTables.
I am running two different instances of the same worker service workera and workerb. I need workera and workerb to both consume messages of type Command based on the value of Command.WorkerPrefix.
the Command type looks like:
...ANSWER
Answered 2021-Jun-15 at 23:37Using MassTransit with Azure Service Bus, I would suggest taking the message routing burden away from the publisher, and moving it to the consumer. By configuring the receive endpoint and using a subscription filter each instance would add its own subscription and use a message header to filter published messages.
On the publisher, a message header would be added:
QUESTION
I'm having trouble troubleshooting this issue I'm running into when trying to run the sample packages for the framework.
For each infant package I get the following error:
...ANSWER
Answered 2021-May-18 at 11:22Have you published the 'Wait 3' pipeline? The screen shot shows your running in Debug in Git connected mode.
The framework can only trigger and interact with published Worker pipelines in the target Data Factory/Synapse instance.
Thanks
QUESTION
My problem
I try to create templated yaml Azure Devops pipeline:
...ANSWER
Answered 2021-May-21 at 07:34Here I have a sample as reference:
- In the template YAML file (here I name it
template.yaml), write as this.
QUESTION
I have a plain simple Python function which should dead-letter a message if it does not match few constraint. Actually I'm raising an exception and everything works fine (I mean the message is being dead-lettered), but I would like to understand if there is a "clean" way to dead-letter the message without raising an exception.
...ANSWER
Answered 2021-May-12 at 12:15Azure Service Bus Queue has this Max Delivery Count property that you can make use of. Considering you only want to process a message exactly once and then deadletter the message in case Function is unable to process, what you can do is set the max delivery count to 1. That way the message will be automatically deadlettered after 1st delivery.
By default, Function runtime tries to auto-complete the message if there is no exception in processing the message. You do not want Function runtime to do that. For that what you would need to do is set auto complete setting to false. However if the message is processed successfully, you would want to delete that message thus you will need to call auto complete manually if the message processing is successful.
Something like:
QUESTION
Background
I have Spring Cloud Data Flow Server running in Kubernetes as a Pod. I am able to launch tasks from the SCDF server UI dashboard. I am looking to develop a more complicated, real-world task- pipeline use-case.
Instead of using the SCDF UI dashboard, I want to launch a sequential list of tasks from a standard Java application. Consider the following task pipeline :
Task 1 : Reads data from the database for the unique id received as task argument input and performs enrichments. The enriched record is written back to the database. Execution of one task instance is responsible for processing one unique id.
Task 2 : Reads the enriched data written by step 1 for the unique id received as task argument input and generates reports. Execution of one task instance is responsible for generating reports for one unique id.
It should be clear from the above explanation that Task 1 and Task 2 are sequential steps. Assume that the input database contains 50k unique ids. I want to develop an orchestrator Java program that would launch task 1 with a limit of 40. (i.e only 40 pods can be running at any given time for task 1. Any requests to launch more pods for task 1 should be put on wait). Once all 50k unique ids have been processed through Task 1 instances, only then can Task 2 pods should be launched.
What I found so far
Going through the documentation, I found something known as the CompositeTaskRunner. However, the examples show commands triggered on a shell/cmd window. I want to do something similar but instead of opening up a data-flow shell program, I want to pass arguments to a Java program that can internally launch tasks. This allows me to easily integrate my application with legacy code that knows how to integrate with Java code (Either by launching a Java program on-demand that should launch a set of tasks and wait for them to complete or by calling a Rest API).
Question
- How to programmatically launch tasks on-demand with Spring Cloud Data Flow using Java instead of a data-flow shell? (Is there a Rest-API to do this or a simple Java program that will be run on a stand alone server should be fine too)
- How to programmatically build a sequential pipeline with an upper limit on the number of pods that can be launched per task and with dependencies such that a task can only start once the previous task completed processing all the inputs.
ANSWER
Answered 2021-May-10 at 18:15Please review the Java DSL support for Tasks.
You'd be able to compose the choreography of the tasks with sequential/parallel execution with this fluent-style API. [example: .definition("a: timestamp && b:timestamp")]
With this defined as Java code, you'd be able to build, launch or schedule the launching of these directed graphs. We see many customers following this approach for E2E acceptance testing and deployment automation.
[ADD]
Furthermore, you can extend the programmatic task definitions for continuous deployments, as well.
QUESTION
I'm working with durable clients and I can't find the way to have multiple task hubs for each orchestrator in the same function app. Is this possible, and if so, how? Can I also have, between the same function app, multiple orchestrators using different storages?
...ANSWER
Answered 2021-May-05 at 06:14As far as I know, a Function App can only have one task hub, and orchestrators in a function app should use the same storage.
The following two designs are allowed:
Please refer to this official documentation.
QUESTION
Now I am using flutter html to render some article in my flutter app, this is my dependencies:
...ANSWER
Answered 2021-May-01 at 13:46It's a bug with that library and flutter 2.0 related to text-decoration:
https://github.com/Sub6Resources/flutter_html/issues/569
https://github.com/Sub6Resources/flutter_html/issues/554
You can try with this version: 2.0.0-nullsafety.1 or delete the text-decoration
QUESTION
I have a durable functions app for processing submitted items differently based on a FileName property. The Orchestrator function Resembles the below, though the below is a simplified example to illustrate my scenario.
basically, I am function chaining differently based on the extension of the FileName property in the user submitted data.
...ANSWER
Answered 2021-Apr-28 at 10:53Sub Orchestrations worked.
QUESTION
I need something to suspend Lambdas in C++ and resume them. I try to narrow it down to a very simple example:
Lets assume I have a singleton class orchestrator where I can register a lambda:
ANSWER
Answered 2021-Apr-17 at 14:57In the interest of the future where coroutine support will be more complete, here's one way a coroutine could look:
QUESTION
I have this code, which is working if I remove version from msr code block. But if I add it - this error pop-ups. I've tried so far to interpolate conditional and to change types of the variables. No luck
ANSWER
Answered 2021-Apr-06 at 18:32Unfortunately this is a situation where Terraform doesn't really know how to explain the problem fully because the difference between your two result types is in some details in deeply nested attributes.
However, what Terraform is referring to here is that your local.msr_launchpad_tmpl and local.make_launchpad_tmpl values have different object types, because an object type in Terraform is defined by the attribute names and associated types and your msr attributes are not consistent across both objects.
One way you could make this work is to explicitly add the msr attributes to local.msr_launchpad_tmpl but set them to null, so that the object types will be compatible but the unneeded attributes will still be left without a specific value:
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