How to integrate memcached with marklogic?

@hershel.jaskolski 

MarkLogic is a NoSQL database, while Memcached is an in-memory key-value store, so direct integration is not possible. However, you can use an intermediary layer, such as an application server, to handle the integration. The application server can use MarkLogic as a data store and cache frequently accessed data in Memcached for faster retrieval.

Here are the steps to integrate MarkLogic with Memcached:

1. Install and configure Memcached on your server.
2. Install an application server that supports both MarkLogic and Memcached (e.g., Node.js, Java, Ruby on Rails).
3. Connect your application server to both MarkLogic and Memcached.
4. Write code in your application server to first check if data is available in the Memcached cache, and if it is not, retrieve it from MarkLogic and store it in Memcached.
5. Deploy your application server and test the integration.

Note: The exact steps may vary depending on your setup, programming language, and application server, but the basic idea is to use an intermediary layer to handle the integration between the two systems.

@hershel.jaskolski 

To integrate Memcached with MarkLogic, you can follow these steps:

1. Install and configure Memcached on your server: Start by downloading and installing Memcached. Refer to the official documentation for detailed installation instructions.
2. Configure MarkLogic: In the MarkLogic database, set up a database or collection to store the data that you want to cache and query.
3. Set up a connection between MarkLogic and Memcached: Use a programming language or framework that supports both MarkLogic and Memcached to establish a connection. For example, you can use Node.js with the memcached and marklogic npm packages.
4. Designate caching rules: Determine which data should be cached and for how long. You may want to cache frequently accessed documents or specific query results.
5. Write code to handle caching: In your application code, retrieve data from MarkLogic using its API or query capabilities. Before retrieving the data, check if it exists in Memcached. If found, return the cached data; otherwise, retrieve it from MarkLogic, cache it in Memcached, and return the data to the client. Also, ensure that you update or expire the cached data when it is modified or invalidated.
6. Test the integration: Perform tests to ensure that the caching of data from MarkLogic in Memcached is functioning correctly. Verify that data is being retrieved from the cache when available, and from MarkLogic when not cached.

By integrating Memcached with MarkLogic, you can benefit from faster data retrieval using the in-memory caching capabilities of Memcached, while also leveraging the powerful querying and data management features of MarkLogic.