12 docs tagged with "Dataprocess"

CLI allows you to create data process projects locally and deploy them with console commands.

API routes is one of the trigger features that can be deployed and managed from CLI, which make data processes RESTful-like. See Triggers commands for more details.

Message queue clients, publishers and subscribers together are one of the trigger features that can be deployed and managed from CLI.

Scheduler - schedules and scheduled jobs - together are one of the trigger features that can be deployed and managed from CLI. See Triggers commands for more details.

LOC data events allows users to generate a data flow or data trail to indicate who have sent and received data. These information can be very useful for two reasons:

This is the follow-up of Emit and Inspect Events, in which we've learned the basics of emitting events.

Logic are the core elements of a data process. They contains the implementation of part of a data pipeline. And the session storage is the thing to link them up together.

Project, data process and logic CLI commands.

This quick start will go through a tutorial of building a simple "Hello World" data process in LOC Studio using JavaScript.

If a data process is deployed, it can be run without using triggers. This is exactly the same as the Execution function in Studio.

Some tips about handling errors in logic.

Local Simple Runtime is a Docker-based local LOC environment. It offers the following benefits: