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Solr is an open-source, highly scalable search platform built on top of Apache Lucene. It provides powerful capabilities for searching, indexing, and faceting large amounts of data. Here are 10 real use cases of Solr: Apache Solr is an open-source search platform built on Apache Lucene, which is a high-performance, full-text search engine library. Solr is widely used for enterprise search and analytics purposes because it provides robust full-text search, hit highlighting, faceted search, dynamic clustering, database integration, and rich document (like Word and PDF) handling capabilities. It is designed to handle large volumes of text-centric data and provides distributed search and index replication functionalities. Solr is also known for its scalability and fault tolerance, making it a popular choice for large-scale search applications. Here are ten real use cases of Solr: E-commerce Product Search: Solr is commonly used in e-commerce platforms to provide advanced search capabilities over a vast inventory of products. It helps in delivering relevant search results, supporting facets and filters (like brand, price range, and product features) to enhance user experience. Content Management Systems (CMS): Integrating Solr with CMSs allows websites to manage and search through large repositories of content such as articles, blogs, and other media types efficiently. Enterprise Document Search: Companies use Solr to index and search through extensive collections of documents, including emails, PDFs, Word documents, and more, making it easier for employees to find the information they need quickly. Social Media Analytics: Solr can process and index large streams of social media data for sentiment analysis, trend tracking, and monitoring public opinion, enabling businesses to gain insights into customer perceptions. Geospatial Search: Solr supports location-based searches, which can be used in applications like real estate listings and location-specific services to find entities within a given distance from a geographic point. Data Collection and Discovery: Research institutions use Solr to manage, search, and analyze large datasets, facilitating data discovery and academic research. Job and Resume Searching: Job portals utilize Solr to match candidates with jobs effectively. It indexes job listings and resumes, providing powerful search and filtering capabilities. News and Media Sites: Media outlets use Solr to manage and retrieve news content and articles based on various attributes like publication date, relevance, keywords, etc. Healthcare Information Systems: Solr is used in healthcare for indexing medical records, research papers, treatment histories, and other data, improving access to information and supporting better healthcare outcomes. Recommendation Systems: Solr’s ability to handle complex queries and analyze large amounts of data helps in building recommendation engines that suggest products, services, or content based on user preferences and behavior. The post What is Solr? appeared first on DevOpsSchool.com. View the full article

Lucene query cheatsheet Basic Search Single Term:term Finds documents containing term. Phrase Search:"exact phrase" Finds documents containing the exact phrase. Boolean Operators AND:term1 AND term2 Both terms must be present. OR:term1 OR term2 At least one of the terms must be present. NOT:NOT term Documents must not contain term. Combination:(term1 AND term2) OR term3 Complex boolean logic can be applied by combining operators. Wildcard Searches Single Character Wildcard:te?t Matches text with one character replaced. Multiple Character Wildcard:test* Matches text with zero or more characters. Wildcard at Start:*test Not supported directly but can be used in certain contexts. Fuzzy Searches Fuzzy:term~ Matches terms that are similar to the specified term. Proximity Searches Proximity:"term1 term2"~N Matches terms that are within N words of each other. Range Searches Range:[start TO end] Finds documents with terms within the specified range. Exclusive Range:{start TO end} Excludes the exact start and end values. Regular Expressions Regex:/regex/ Matches terms by regular expression. Boosting Terms Boost:term^N Increases the relevance of a term by a factor of N. Field-Specific Searches Specific Field:fieldname:term Searches for the term within a specific field. Grouping Group Queries:(query1) AND (query2) Groups parts of queries for complex searches. How to search Apache HTTPD using Lucene These examples assume that the logs have been indexed in a Lucene-based system like Elasticsearch, and they demonstrate how to utilize various Lucene query features to filter and search log data effectively. Note that the specific fields used in these examples (ip, timestamp, response, request, etc.) should correspond to the fields defined in your Lucene schema for Apache HTTPD logs. // 1. Find logs for a specific IP address ip:"192.168.1.1" // 2. Search logs within a specific date range timestamp:[20230101 TO 20230131] // 3. Identify logs with 4xx client error response codes response:[400 TO 499] // 4. Locate logs for requests to a specific URL request:"GET /index.html HTTP/1.1" // 5. Filter logs by a specific user-agent string agent:"Mozilla/5.0 (Windows NT 10.0; Win64; x64)" // 6. Search for logs with a specific referrer referrer:"http://example.com/" // 7. Find all logs of GET requests request_method:GET // 8. Filter logs resulting in 5xx server errors response:[500 TO 599] // 9. Identify requests to a specific directory request:"/images/*" // 10. Locate requests taking longer than 2 seconds duration:>2000 // 11. Exclude logs from a specific IP address -ip:"192.168.1.1" // 12. Find requests for a specific file type (.jpg) request:"*.jpg" // 13. Identify logs from a specific day timestamp:20230115 // 14. Search logs with responses in a byte range bytes:[1000 TO 5000] // 15. Filter logs by HTTP method and response code request_method:POST AND response:200 // 16. Search for failed login attempts (custom log message) message:"Failed login attempt" // 17. Find logs from a range of IP addresses ip:[192.168.1.1 TO 192.168.1.100] // 18. Identify logs with a 200 OK response response:200 // 19. Search for logs with specific query parameters request:"*?user=john&*" // 20. Locate logs with a 404 Not Found response response:404 The post Apache Lucene Query Example appeared first on DevOpsSchool.com. View the full article