---
title: "Query Table"
url: https://docs.catalyst.zoho.com/en/sdk/python/v1/cloud-scale/nosql/query-table/
description: "Catalyst NoSQL is a fully-managed, powerful database that provides you with a non-relational, non-SQL means of data storage. This page describes the SDK method to query a NoSQL table."
last_updated: 2026-09-08T11:07:33Z
service: Cloud Scale
type: general
related_links:
  - name: "NoSQL"
    url: /en/cloud-scale/help/nosql/introduction
  - name: "Table Keys"
    url: /en/cloud-scale/help/nosql/components/#table-keys
  - name: "JavaScript SDK"
    url: /en/sdk/javascript/v1/cloudscale/nosql/query-table/
---

# Query NoSQL Table

Catalyst enables you to query a [NoSQL](https://docs.catalyst.zoho.com/en/cloud-scale/help/nosql/introduction/) table and retrieve data by identifying the items using the [primary keys](https://docs.catalyst.zoho.com/en/cloud-scale/help/nosql/components/#table-keys) of the table. For instance, you can use just the partition key or a combination of the partition key and sort key to retrieve the item. 

> **Note:** Catalyst enables you to retrieve a maximum of 100 items in bulk from a NoSQL table with pagination from a single SDK operation. You must use the `start_key` token received in the SDK response and construct the logic for pagination.

You can define the key condition that identifies the item by specifying the attributes, their required values, and the supported operator to be used. You can also specify additional conditions with the group operators. 

The supported operators are represented as shown below.

<table class="content-table nosql-components-table">

<thead>
        <tr>
            <th class="w10p">Operators</th>
            <th class="w10p">Notation</th>
        </tr>
</thead>
<tbody>
    <tr>
        <td>CONTAINS</td>
        <td>`contains`</td>
    </tr>
    <tr>
        <td>NOT_CONTAINS</td>
        <td>`not_contains`</td>
    </tr>
    <tr>
        <td>BEGINS_WITH</td>
        <td>`begins_with`</td>
    </tr>
    <tr>
       <td>ENDS_WITH</td>
        <td>`ends_with`</td>
    </tr>
    <tr>
        <td>IN</td>
        <td>`in`</td>
    </tr>
    <tr>
        <td>NOT_IN</td>
        <td>`not_in`</td>
    </tr>
    <tr>
        <td>BETWEEN</td>
        <td>`between`</td>
    </tr>
    <tr>
        <td>NOT_BETWEEN</td>
        <td>`not_between`</td>
    </tr>
    <tr>
        <td>EQUALS</td>
        <td>`equals`</td>
    </tr>
    <tr>
        <td>NOT_EQUALS</td>
        <td>`not_equals`</td>
    </tr>
	<tr>
        <td>GREATER_THAN</td>
        <td>`greater_than`</td>
    </tr>
	<tr>
        <td>LESS_THAN</td>
        <td>`less_than`</td>
    </tr>
	<tr>
        <td>GREATER_THAN_OR_EQUALS</td>
        <td>`greater_equal`</td>
    </tr>
	<tr>
        <td>LESSER_THAN_OR_EQUALS</td>
        <td>`less_equal`</td>
    </tr>
	<tr>
        <td>AND</td>
        <td>`AND`</td>
    </tr>
	<tr>
        <td>OR</td>
        <td>`OR`</td>
    </tr>
</tbody>
</table>

In the example below, the query is executed using the `queryTable()` method by identifying the items using the partition key `fruitType` and specifying the condition value as "citrus". We also specify an additional condition with the attribute location matching "USA".

Catalyst NoSQL also lets you define other elements of the query, such using `consistent_read` to indicate if the read operation must be done using the master or a slave cluster, limiting the number of rows to be returned, and specifying the sorting order as ascending. 

> **Note:** In the master-slave replication, the master contains all the data of the database, and the slave contains copies from the master. Performing a read operation from the slave can reduce the overall cost with the trade-off being a minor delay in the updated data being reflected.

```python
# Query a NoSQL table to fetch the items identified by the partition key fruitType with the value "citrus"
res = table.query_table(
 {
    # Set consistent_read to true to query from master. If set to false, it is queried from slave.
   'consistent_read': 'true',# Set forwardScan to true to sort the results in ascending order. Otherwise, it is sorted in the descending order.
   'forwardScan': 'true',# Limit the number of rows to be returned by specifying a value
   'limit': 10,# Define the key condition to identify items
   'key_condition': {
    'attribute': 'fruitType',
    'operator': 'equals',
    'value': {
     'S': 'citrus'
    }
   },
    # Specify additional conditions to query the table items using group operators
   'other_condition': {
    'group_operator': 'and',
    'group': [
     {
     'attribute': 'location',
     'operator': 'equals',
     'value': {
      'S': 'USA'
     }
     }
    ]
   } 
 })
print(res)
```