Implementing data synchronization between IndexedDB and Apache MetaModel

01 Oct 2023

In today’s data-driven world, the need to synchronize data between different systems has become critical. One common scenario is the synchronization between a browser-based database, like IndexedDB, and a server-based database, like Apache MetaModel.

In this blog post, we’ll explore how to implement data synchronization between IndexedDB and Apache MetaModel using a simple JavaScript application.

Understanding IndexedDB and Apache MetaModel

IndexedDB is a low-level JavaScript API provided by modern web browsers to store and retrieve structured data persistently. It allows you to store large amounts of data on the client-side, making it ideal for offline-capable web applications.

On the other hand, Apache MetaModel is a versatile data access library that allows you to connect to various data sources, including relational databases, NoSQL databases, spreadsheets, and more. It provides a unified querying interface to interact with these data sources.

Setting up the Environment

First, let’s set up our development environment. We will assume that you have a basic understanding of JavaScript and have a browser and server environment ready.

Install the necessary dependencies for your JavaScript project: npm install apache-metamodel indexeddb-js
Set up your HTML file with the necessary JavaScript includes:

<!DOCTYPE html>
<html>
  <head>
    <title>Data Synchronization</title>
    <script src="https://cdnjs.cloudflare.com/ajax/libs/apache-metamodel/5.0.0/metamodel-all.js"></script>
    <script src="https://cdnjs.cloudflare.com/ajax/libs/indexeddbshim/1.3.3/indexeddbshim.min.js"></script>
  </head>
  <body>
    <h1>Data Synchronization between IndexedDB and Apache MetaModel</h1>
    <script src="app.js"></script>
  </body>
</html>

Implementing Data Synchronization

To implement data synchronization between IndexedDB and Apache MetaModel, we’ll follow these steps:

Establish a connection to both IndexedDB and Apache MetaModel data source.
Retrieve data from IndexedDB and Apache MetaModel and compare them.
Determine the changes (inserts, updates, or deletions) that need to be synchronized.
Apply the changes to the respective data sources.

Let’s write the code for these steps:

// Establish connection to IndexedDB
const indexedDBConnection = new metamodel.IndexedDBConnection('database_name', 'database_version');

// Establish connection to Apache MetaModel data source
const metaModelConnection = new metamodel.JdbcDataContext('jdbc:postgresql://localhost:5432/mydatabase', 'username', 'password');

// Retrieve data from IndexedDB
const indexedDBData = await indexedDBConnection.query('SELECT * FROM tableName');

// Retrieve data from Apache MetaModel
const metaModelData = await metaModelConnection.query('SELECT * FROM tableName');

// Compare data and identify changes
const changes = compareData(indexedDBData, metaModelData);

// Apply changes to IndexedDB
applyChanges(indexedDBConnection, changes.forIndexedDB);

// Apply changes to Apache MetaModel
applyChanges(metaModelConnection, changes.forMetaModel);

Conclusion

In this blog post, we have explored how to implement data synchronization between IndexedDB and Apache MetaModel. By following the steps outlined, you can synchronize data seamlessly between a client-side database and a server-side database.

Data synchronization is crucial for building robust and responsive web applications that can work offline and maintain the integrity of data across different systems.

#IndexedDB #ApacheMetaModel