---
title: "Bulk Read Rows"
url: https://docs.catalyst.zoho.com/en/sdk/nodejs/v2/cloud-scale/data-store/bulk-read/
description: "This page describes the method to read multiple rows from a table in the Data Store in your NodeJS application with sample code snippets"
last_updated: 2026-09-08T11:07:33Z
service: Cloud Scale
type: general
related_links:
  - name: "Data Store"
    url: /en/cloud-scale/help/data-store/introduction
---

# Bulk Read Rows

> **Note:** This SDK is currently in deprecation. Migrate to [JavaScript SDK](https://docs.catalyst.zoho.com/en/sdk/javascript/v1/cloudscale/datastore/bulk-operations/bulk-read/) now.

Catalyst allows you to perform bulk read jobs on a specific table present in the [Data Store](https://docs.catalyst.zoho.com/en/cloud-scale/help/data-store/introduction). 

In the SDK snippet below, the Bulk Read job can read thousands of records from a specific table and generate a CSV file containing the results of the read operation, if the job is successful.The table is referred to by its unique [`Table ID`](https://docs.catalyst.zoho.com/en/cloud-scale/help/data-store/tables/).

> **Note:** You can also use the `dataStore.table().bulkJob('read' | 'write')` method to perform either a bulk read or a bulk write job.

<table class="content-table">
	<thead>
		<tr>
			<th>Method Used</th>
			<th>Description</th>
		</tr>
	</thead>
	<tbody>
		<tr>
			<td>`bulkRead.createJob({ criteria, page, select_columns })`</td>
			<td> Create a new bulk read job.</td>
		</tr>
            <td>`bulkRead.getStatus(job ID)`</td>
            <td>Get a bulk read job's status.</td>
        <tr>
            <td>`bulkRead.getResult(job ID)`</td>
            <td>Get a bulk read job's result.</td>
        </tr>
	</tbody>
</table>

Copy the SDK snippet below to perform a bulk read job on a particular table.

```javascript
// bulk read
let datastore = app.datastore(); //get datastore instance
const bulkRead = dataStore.table('sampleTable').bulkJob('read');
// create bulk read job
 const bulkReadJob = await bulkRead.createJob({
  criteria: {
   group_operator: 'or',
   group: [
    {
     column_name: 'Department',
     comparator: 'equal',
     value: 'Marketing'
    },
    {
     column_name: 'EmpID',
     comparator: 'greater_than',
     value: '1000'
    },
    {
     column_name: 'EmpName',
     comparator: 'starts_with',
     value: 'S'
    }
   ]
  },
  page: 1,
  select_columns: ['EmpID', 'EmpName', 'Department']
 };
 {
		url: 'https://hr.zylker.com/en/EmpRecords/_callback.php',
		headers: {
			'src': 'ZCatalyst',
			'operation': 'bulkreadAPI'
		},
		params: {
			'project_name': 'EmployeeDatabase'
		}
	});
// Get bulk read status
await bulkRead.getStatus(bulkReadJob.job_id);
// Get bulk read result
await bulkRead.getResult(bulkReadJob.job_id);
```

> **Note:** A maximum of **200,000 rows** can be read simultaneously.