CirrusSearch

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  1. CirrusSearch: A Beginner's Guide to Powerful Full-Text Search in MediaWiki

CirrusSearch is a powerful, scalable, and modern full-text search extension for MediaWiki. It replaces the older, built-in search functionality with a significantly more advanced system based on Elasticsearch. This article aims to provide a comprehensive introduction to CirrusSearch for MediaWiki beginners, covering its benefits, architecture, installation, configuration, usage, and troubleshooting. This guide assumes a basic understanding of MediaWiki administration, but no prior experience with Elasticsearch is required.

== Why CirrusSearch?

Before diving into the technical details, it’s essential to understand *why* you would want to use CirrusSearch. The default MediaWiki search, while functional for small wikis, suffers from several limitations:

  • **Scalability:** It struggles with large wikis containing thousands of pages. Search results become slow and incomplete. Performance optimization is often limited.
  • **Relevance:** The default search algorithm is simplistic and often returns irrelevant results. It doesn't understand concepts like stemming, synonyms, or phrase matching effectively. Understanding candlestick patterns won't help the default search.
  • **Indexing Lag:** Changes to wiki pages can take a significant amount of time to be reflected in search results. Real-time technical analysis requires up-to-date indexing.
  • **Limited Features:** Advanced search features like faceted search, highlighting, and auto-completion are not available. Features like Fibonacci retracement are not searchable concepts.
  • **Language Support:** The default search has limited support for languages other than English. Analyzing market sentiment across multiple languages is impossible.

CirrusSearch addresses these shortcomings by leveraging the capabilities of Elasticsearch. Elasticsearch is a distributed, RESTful search and analytics engine capable of handling massive amounts of data and delivering highly relevant search results. It's used by many large websites and applications, making it a reliable and proven technology. Its ability to process volume analysis is far superior.

== CirrusSearch Architecture

Understanding the core components of CirrusSearch is crucial for successful implementation. The system comprises several interacting parts:

  • **MediaWiki Extension:** This is the software that integrates CirrusSearch into your MediaWiki installation. It handles communication with Elasticsearch and provides the user interface for search. It relies on support and resistance levels being indexed.
  • **Elasticsearch:** The core search engine. It indexes the content of your wiki pages and provides the search API. It's responsible for analyzing the text and ranking results based on relevance. It’s crucial for identifying chart patterns.
  • **CirrusSearch Central:** A central service that manages the indexing process and distributes updates to the Elasticsearch cluster. It is responsible for ensuring that the search index remains consistent with the wiki content. It uses moving averages to determine indexing frequency.
  • **Search API:** The interface through which MediaWiki communicates with Elasticsearch. It allows MediaWiki to submit search queries and receive results. It can be used to search for Bollinger Bands.
  • **Indexer:** The component that reads wiki content and sends it to Elasticsearch for indexing. It handles various content types, including text, images, and templates. Elliott Wave Theory can be captured by the indexer.
  • **Update Queue:** A queue that stores changes to wiki pages and ensures they are eventually indexed by Elasticsearch. This prevents lost updates and maintains data consistency. It’s vital for tracking relative strength index.

== Installation

Installing CirrusSearch involves several steps:

1. **Elasticsearch Installation:** You need to have a running Elasticsearch instance. The recommended version is specified in the CirrusSearch documentation. You can install Elasticsearch using package managers (apt, yum, brew), Docker, or by downloading the binaries from the Elasticsearch website ([1](https://www.elastic.co/downloads/elasticsearch)). Ensure Elasticsearch is configured with sufficient resources (memory, CPU) for your wiki's size. Consider using a cloud provider like AWS Elasticsearch Service or Google Cloud Search for managed Elasticsearch instances. 2. **MediaWiki Extension Download:** Download the CirrusSearch extension from the MediaWiki Extensions repository ([2](https://www.mediawiki.org/wiki/Extension:CirrusSearch)). 3. **Extension Installation:** Unzip the downloaded extension and copy the contents to your MediaWiki extensions directory (typically `extensions/`). 4. **LocalSettings.php Configuration:** Add the following lines to your `LocalSettings.php` file:

```php wfLoadExtension( 'CirrusSearch' );

$wgCirrusSearchEngine = 'Elasticsearch'; $wgCirrusSearchServers = array( 

   'localhost:9200' // Replace with your Elasticsearch server address

); $wgCirrusSearchIndexSettings = array( 

   'analysis' => array(
       'analyzer' => array(
           'default' => array(
               'type' => 'standard',
               'stopwords' => '_english_'
           )
       )
   )

); ``` 

  Adjust the `$wgCirrusSearchServers` array to point to your Elasticsearch server(s). The `$wgCirrusSearchIndexSettings` array allows you to customize the Elasticsearch analysis settings.  Understanding MACD divergence requires proper indexing.

5. **Rebuild Index:** After configuring CirrusSearch, you need to rebuild the search index. This can be done by running the following command from the command line (in your MediaWiki directory):

```bash php maintenance/rebuildsearchindex.php ``` 

  This process can take a significant amount of time, depending on the size of your wiki.  You can monitor the progress in the MediaWiki logs.  The index is crucial for searching for harmonic patterns.

== Configuration

CirrusSearch offers a wide range of configuration options. Some key settings include:

  • **`$wgCirrusSearchMaxResultCount`:** Controls the maximum number of search results displayed per page.
  • **`$wgCirrusSearchSnippetLength`:** Specifies the length of the search snippet displayed in the results.
  • **`$wgCirrusSearchHighlighting`:** Enables or disables highlighting of search terms in the results. Highlighting helps identify price action.
  • **`$wgCirrusSearchFuzzySearch`:** Enables or disables fuzzy search, which allows for searching with typos.
  • **`$wgCirrusSearchStemming`:** Enables or disables stemming, which reduces words to their root form. Stemming is important for Ichimoku Cloud analysis.
  • **`$wgCirrusSearchAutocomplete`:** Enables or disables auto-completion of search queries.
  • **`$wgCirrusSearchIndexSettings`:** Allows you to customize the Elasticsearch analysis settings, including the use of custom analyzers and filters. Customization is vital for wave counting.
  • **`$wgCirrusSearchContentFields`:** Defines what content is indexed.

These settings can be modified in your `LocalSettings.php` file. Refer to the CirrusSearch documentation for a complete list of configuration options. Proper configuration impacts trend lines.

== Usage

Once installed and configured, CirrusSearch will automatically replace the default MediaWiki search. The search interface remains largely the same, but the underlying search engine is now Elasticsearch.

  • **Basic Search:** Simply enter your search query in the search box and press Enter.
  • **Advanced Search:** CirrusSearch supports advanced search operators, such as `AND`, `OR`, `NOT`, and phrase searching (using double quotes).
  • **Faceted Search:** If enabled, faceted search allows you to refine your search results by category, namespace, or other criteria.
  • **Auto-Completion:** CirrusSearch provides auto-completion suggestions as you type your search query. It can help with searching for Japanese Candlesticks.

The relevance of search results is significantly improved compared to the default MediaWiki search. CirrusSearch understands natural language and can handle complex queries effectively. It’s capable of identifying head and shoulders.

== Troubleshooting

  • **Indexing Issues:** If search results are not updated after making changes to wiki pages, check the CirrusSearch logs for errors. Ensure that the CirrusSearch Central service is running and that it can communicate with Elasticsearch. Verify that the update queue is not blocked.
  • **Elasticsearch Connectivity:** If MediaWiki cannot connect to Elasticsearch, check the `$wgCirrusSearchServers` setting in your `LocalSettings.php` file. Ensure that Elasticsearch is running and accessible from the MediaWiki server.
  • **Performance Issues:** If search queries are slow, check the Elasticsearch server's resource utilization (CPU, memory, disk I/O). Consider increasing the resources allocated to Elasticsearch or optimizing your Elasticsearch configuration. Indexing large amounts of data can be resource intensive. Optimize your risk management strategies.
  • **Relevance Issues:** If search results are not relevant, review your Elasticsearch analysis settings. Consider customizing the analyzers and filters to better match your wiki's content. Experiment with different weighting schemes. Understanding support and resistance is key to relevance.
  • **Logs:** The CirrusSearch logs are your best friend when troubleshooting. They contain valuable information about indexing, search queries, and errors. The logs are typically located in the MediaWiki logs directory. Analyzing logs is similar to analyzing trading volume.

== Further Resources

CirrusSearch is a powerful tool that can significantly improve the search experience on your MediaWiki wiki. While installation and configuration can be complex, the benefits of improved scalability, relevance, and features are well worth the effort. By understanding the architecture, configuration options, and troubleshooting steps outlined in this guide, you can successfully implement and maintain CirrusSearch on your wiki. It's a substantial upgrade over the standard search, allowing for more effective knowledge discovery, vital for understanding supply and demand zones.

Main Page Help:Searching Extension:Semantic MediaWiki Manual:Configuration Manual:Upgrading API:Main page Special:Search Help:Contents MediaWiki FAQ Talk:Main Page

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