Syncfusion React DataManager

The DataManager is a gateway component for managing local and remote data operations in React applications. It acts as an abstraction layer that enables seamless data binding, querying, CRUD operations, caching, and middleware customization without writing complex server communication code.

Use this skill whenever a user needs to:

• Bind local or remote data sources to UI components
• Query data (filter, sort, page, group, search)
• Perform CRUD operations (insert, update, delete, batch edits)
• Work with different data sources (JSON, OData, REST APIs, GraphQL, etc.)
• Cache data for performance
• Implement offline mode
• Add custom headers or authentication
• Transform request/response data
• Handle complex data scenarios in React applications

⚠️ Security & Trust Boundary

• This skill generates code only, the agent does not execute data operations or fetch remote endpoints — all DataManager interactions occur solely within the user's application at runtime.
• Generated code must treat all third-party API responses as untrusted input, never bind to unvalidated or user-provided URLs, and ensure authentication is enforced on all remote endpoints.

When to Use DataManager

DataManager is best for:

• Flexible data management → Works with any data source (local, REST, OData, GraphQL)
• Complex queries → Filtering, sorting, paging, grouping, searching
• CRUD operations → With batch support and transaction patterns
• Middleware customization → Pre/post request hooks
• Offline support → Cache and sync when connection restored
• Adaptor switching → Change data sources without code changes

Direct component binding (Grid, Scheduler, etc.) is better when:

• You only need basic data binding without complex querying
• Performance is critical for very large datasets
• You don't need middleware customization

Key Concepts

Data Binding

Connect DataManager to data sources using the json property (local arrays) or url property (remote APIs). Query methods: executeLocal() for local data, executeQuery() for remote data.

Query Class

Build structured queries using the Query class: from(), where(), select(), sortBy(), take(), expand(), group() chained together for powerful data operations.

Adaptors

Adaptors are interfaces that enable DataManager to communicate with different data sources:

• JsonAdaptor → Local JavaScript arrays
• ODataAdaptor → OData v3 services
• ODataV4Adaptor → OData v4 services
• UrlAdaptor → Generic REST endpoints
• WebApiAdaptor → ASP.NET Web API
• RemoteSaveAdaptor → Hybrid client-side queries + server-side CRUD
• WebMethodAdaptor → Legacy ASP.NET ASMX services
• GraphQLAdaptor → GraphQL endpoints
• CustomAdaptor → Custom implementation for proprietary services

CRUD Operations

• insert() → Add records to data source
• update() → Modify existing records (keyField as first parameter)
• remove() → Delete records (keyField as first parameter)
• saveChanges() → Batch multiple operations into single request

Middleware & Customization

• applyPreRequestMiddlewares() → Modify request before sending (auth tokens, headers)
• applyPostRequestMiddlewares() → Transform response before binding (formatting, filtering)
• Custom adaptors for proprietary APIs
• Error handlers for request failures

Caching & Performance

• enableCache → Prevent re-requesting previously loaded pages
• Offline mode → Store data locally, sync when connection restored
• Load on demand → Lazy load data as user scrolls (virtual scrolling)
• Deferred operations → Promise-based async/await patterns

Documentation & Navigation Guide

Choose the reference file based on your current task:

Getting Started Setup

📄 Read: references/getting-started.md

• Installation steps (npm)
• Project setup & imports
• Basic DataManager initialization
• First query execution
• Environment setup
• Common errors & fixes

Data Binding Strategies

📄 Read: references/data-binding.md

• Local data binding with json property
• Remote data binding with url property
• executeLocal() for client-side queries
• executeQuery() for server requests
• Switching between data sources
• Response format handling
• When to use each approach

Query Operations & Filtering

📄 Read: references/querying-and-filtering.md

• Query class fundamentals
• Filtering with where() and Predicate
• Sorting (ascending/descending)
• Pagination with take() and skip()
• Field projection with select()
• Related data loading with expand()
• Grouping data by field(s)
• Complex multi-condition queries
• Chaining query operations

CRUD Operations & Batch Edits

📄 Read: references/crud-operations.md

• insert() → Add new records
• update() → Modify existing records
• remove() → Delete records
• keyField in CRUD method parameters
• saveChanges() for batch operations
• Batch insert/update/remove
• Transaction patterns
• Data validation before operations
• Response handling

Choosing & Using Adaptors

📄 Read: references/adaptors-guide.md

• Which adaptor to use (decision tree)
• JsonAdaptor for local arrays
• OData adaptors (v3 & v4)
• REST API adaptors (Url, WebApi)
• RemoteSaveAdaptor hybrid approach
• Legacy ASMX (WebMethodAdaptor)
• GraphQL endpoint integration
• Custom adaptor implementation
• CORS & crossDomain configuration
• Platform-specific response handling

Middleware & Request Customization

📄 Read: references/middleware-customization.md

• Pre-request middleware for auth tokens
• Custom header injection
• Request transformation
• Post-request middleware for response mapping
• Error handler functions
• Data validation & filtering in middleware
• Custom adaptor implementation
• Middleware execution order & timing

Caching & Offline Mode

📄 Read: references/caching-offline-mode.md

• enableCache property for performance
• When cache clears (sort, filter, CRUD)
• Offline mode implementation
• Local storage persistence
• Sync strategies after reconnection
• Cache size & memory management
• Best practices & performance patterns

Advanced Features & Patterns

📄 Read: references/advanced-features.md

• Load on demand & pagination patterns
• Virtual scrolling setup
• Lazy loading data
• Deferred operations (Promise API)
• Async/await with DataManager
• State persistence across sessions
• Memory management
• Error handling strategies
• Performance optimization tips
• Common pitfalls & solutions

Quick Start Example

import React, { useEffect, useState } from 'react';
import { DataManager, WebApiAdaptor, Query } from '@syncfusion/ej2-data';

export default function DataManagerDemo() {
  const [items, setItems] = useState([]);

  useEffect(() => {
    // Create DataManager with remote data source
    const dataManager = new DataManager({
      url: 'url',
      adaptor: new WebApiAdaptor(),
      crossDomain: true
    });

    // Execute query with filtering, sorting, paging
    dataManager.executeQuery(
      new Query()
        .where('Freight', 'greaterthan', 500) // Filter
        .sortBy('OrderDate') // Sort
        .take(10) // Pagination
    ).then((e) => {
      setItems(e.result); // Bind results
    });
  }, []);

  return (
    <div>
      <h2>Orders</h2>
      <ul>
        {items.map((item) => (
          <li key={item.OrderID}>{item.CustomerID} - ${item.Freight}</li>
        ))}
      </ul>
    </div>
  );
}

Common Use Cases

Case 1: Display local data with filtering → Use JsonAdaptor + Query + where() for client-side filtering

Case 2: Fetch server data with authentication → Use WebApiAdaptor + applyPreRequestMiddlewares() for token injection

Case 3: Work offline, sync later → Use enableCache + offline mode + saveChanges() for batch sync

Case 4: Complex nested data relationships → Use ODataV4Adaptor or RemoteSaveAdaptor + expand() for related data

Case 5: GraphQL backend → Use GraphQLAdaptor with custom query builder

Case 6: Legacy ASP.NET ASMX service → Use WebMethodAdaptor with appropriate response mapping

Key Props & Options

Comparison: DataManager vs Direct Binding

Use DataManager when building data-driven applications with flexibility, caching, and middleware needs.

Use direct binding for simple, one-off displays without complex queries or offline support.