3114b89d4c
Previously, a single run of the simplest job queue workflow (1 single task, no db calls by user code in the task - we're just testing db system overhead) would result in **22 db roundtrips** on drizzle. This PR reduces it to **17 db roundtrips** by doing the following: - Modifies db.updateJobs to use the new optimized upsertRow function if the update is simple - Do not unnecessarily pass the job log to the final job update when the workflow completes => allows using the optimized upsertRow function, as only the main table is involved --- - To see the specific tasks where the Asana app for GitHub is being used, see below: - https://app.asana.com/0/0/1210888186878606
24 lines
459 B
TypeScript
24 lines
459 B
TypeScript
/* eslint-disable @typescript-eslint/require-await */
|
|
import type { TaskConfig } from 'payload'
|
|
|
|
export const DoNothingTask: TaskConfig<'DoNothingTask'> = {
|
|
retries: 2,
|
|
slug: 'DoNothingTask',
|
|
inputSchema: [
|
|
{
|
|
name: 'message',
|
|
type: 'text',
|
|
required: true,
|
|
},
|
|
],
|
|
outputSchema: [],
|
|
handler: async ({ input }) => {
|
|
return {
|
|
state: 'succeeded',
|
|
output: {
|
|
message: input.message,
|
|
},
|
|
}
|
|
},
|
|
}
|