Install and Integrate Elasticsearch with Drupal

Leveraging Elasticsearch for High-Performance Drupal 7 Applications: A Two-Part Tutorial

This tutorial explores using Drupal 7 as a CMS for high-performance applications, integrating Elasticsearch and the Silex PHP microframework. The goal is a proof-of-concept demonstrating their combined capabilities. The accompanying Git repository provides complete code (see link below). Familiarity with Drupal, Elasticsearch, and Silex is recommended.

The tutorial is divided into two parts:

Part 1: Elasticsearch and Drupal Integration

This section covers setting up Elasticsearch and creating a custom Drupal module for managing node data within Elasticsearch.

1. Elasticsearch Setup: Install Elasticsearch (Linux instructions are provided). Crucially, configure Elasticsearch for security by setting network.bind_host: localhost and script.disable_dynamic: true in the configuration file to restrict external access and disable dynamic scripts.

2. Drupal Integration with the Elasticsearch Connector Module: Install and enable the Elasticsearch Connector Drupal module. This provides an Elasticsearch client object wrapper accessible within your custom module:

   $client = elastic_connector_get_client_by_id('my_cluster_id');

   Replace 'my_cluster_id' with your cluster's Drupal machine name (found at admin/config/elasticsearch-connector/clusters).

3. Inserting Data (hook_node_insert): A custom module (e.g., "elastic") with hook_node_insert() saves new nodes to Elasticsearch. The example below uses a helper function _elastic_prepare_node() to format node data:

   function elastic_node_insert($node) {
     $client = elasticsearch_connector_get_client_by_id('my_cluster_id');
     $params = _elastic_prepare_node($node);
     // ... (error handling and indexing logic) ...
   }

4. Updating Data (hook_node_update): hook_node_update() ensures Elasticsearch reflects node changes. It uses _elastic_perform_node_search_by_id() to locate the node before updating, leveraging the document version for concurrency control:

   function elastic_node_update($node) {
     // ... (logic to update node in Elasticsearch) ...
   }

5. Deleting Data (hook_node_delete): hook_node_delete() removes nodes from Elasticsearch when deleted in Drupal. It uses _elastic_perform_node_search_by_id() to find and delete the corresponding document:

   function elastic_node_delete($node) {
     // ... (logic to delete node from Elasticsearch) ...
   }

6. Verification: Temporarily allow remote access (for local development only!) to test Elasticsearch population by making HTTP requests directly from your browser (e.g., http://localhost:9200/node/_search). Remember to re-enable security restrictions afterward.

Part 2: Silex Application (To be covered in the next part of the tutorial)

This section will detail creating a Silex application to fetch and display data directly from Elasticsearch, bypassing Drupal.

Git Repository: [Insert Git Repository Link Here]

Frequently Asked Questions (FAQs):

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