Introduction to Batch

In this tutorial, we will get an introduction to processing arrays of data. We can process data arrays in the same way as individual data objects, though it is often necessary to split the data from an array into individual elements and control their processing individually. A common case is pagination of the source data, which we will demonstrate in the next tutorial. For now, let's focus on data splitting.

Prerequisites

• Installed and running Orchesty.
• Connected SDK
• Recommended Basic connector which covers common functionality.

Creating Batch

We split the data in a node of the BatchNode type. This is based on a connector. The difference is that it returns an array, and the orchestration layer then splits the array from this connector into individual messages. So we prepare a SplitBatch class, into which we directly insert an array of data. As we said, this class is essentially a connector, so it can get the data by calling some source. For our demonstration we will put the data array directly in the code.

Typescript

import ABatchNode from '@orchesty/nodejs-sdk/dist/lib/Batch/ABatchNode';
import BatchProcessDto from '@orchesty/nodejs-sdk/dist/lib/Utils/BatchProcessDto';

export const NAME = 'split-batch';

export default class SplitBatch extends ABatchNode {
    public getName(): string {
        return NAME;
    }

    public processAction(dto: BatchProcessDto): Promise<BatchProcessDto> | BatchProcessDto {
        dto.setItemList([{ id: 1 }, { id: 2 }, { id: 3 }]);
        return dto;
    }
}

PHP

namespace Pipes\PhpSdk\Batch;

use Hanaboso\CommonsBundle\Process\BatchProcessDto;
use Hanaboso\PipesPhpSdk\Batch\BatchAbstract;

final class SplitBatch extends BatchAbstract
{

    public const NAME = 'split-batch';

    function getName(): string
    {
        return self::NAME;
    }

    function processAction(BatchProcessDto $dto): BatchProcessDto
    {
        $dto->setItemList([['id' => 1], ['id' => 2], ['id' => 3]]);
        return $dto;
    }

}

tip

We can try using the basic connector code in the processAction method. The difference is mainly in inserting data into BatchProcessDto. In our case, we need to use the setItemList method.

Register Batch action into a container.

Typescript

Register the batch connector in index.ts into the container.

// ...
import { container } from '@orchesty/nodejs-sdk';
import SplitBatch from './SplitBatch';
// ...

export default function prepare(): void {
  // ...
  container.setBatch(new SplitBatch());
  // ...
};

PHP

Register the batch connector in the yaml file: ./config/batch/batch.yaml.

# ./config/batch.yaml
services:
  // ...    
    hbpf.batch.split-batch:
        class: Pipes\PhpSdk\Batch\SplitBatch
        arguments:
            - '@hbpf.application_install.repository'
  // ...

Test

The test will be very simple this time. We'll create a topology where we include our new split-batch action after the start event, and finally add the user task again to see if our node has split the data as we expected.

Start the process without entering data. The result should be 3 messages in the list on the User Tasks tab.

In this tutorial, we've covered the basics of working with batches of data. We learned how to split an array into individual objects, which we will then process individually. We will use this, for example, when we retrieve source data by pagination. This is because it is not always appropriate to process data in whole pages. In the following tutorial we will show how to do pagination when extracting data.