Elasticsearch FAQ

Below are short articles on FAQ in elasticsearch and OpenSearch


Elasticsearch collapseDiscover how to efficiently handle duplicate results in Elasticsearch with the collapse feature. Learn its use cases, implementation, and optimization best practices for improved search performance.
Elasticsearch console query exampleDiscover advanced Elasticsearch console query techniques and tips to optimize your search queries, extract valuable insights from your data, and improve user experience. Learn about multi-match queries, filtering, aggregations, pagination, and more.
Elasticsearch explainMaster the Elasticsearch Explain API to optimize search queries and improve search performance. Learn how to use, interpret, and apply insights from the Explain API for better search results.
Elasticsearch ids queryDiscover the power of Elasticsearch IDs Query for efficient and precise document retrieval by ID, without the need for complex query structures or full-text searches. Learn how to use and combine this query type for faster, more accurate results.
Elasticsearch scriptDiscover advanced usage and best practices for Elasticsearch scripting, including inline vs stored scripts, script contexts, field access, and error handling. Enhance your Elasticsearch experience and optimize performance with this comprehensive guide.
Elasticsearch search by two fieldsDiscover advanced techniques for Elasticsearch search by two fields, including multi-match queries, bool queries, and query-time field boosting, to create more accurate and relevant search results for your users.
Elasticsearch multiple queriesLearn how to combine and optimize multiple queries in Elasticsearch for advanced search using compound queries, filter context, and query optimization strategies. Improve search accuracy and efficiency.
Elasticsearch nested aggregationMaster Elasticsearch nested aggregation with this comprehensive guide, covering nested documents, use cases, and step-by-step implementation for efficient querying and improved relevance scoring. Ideal for e-commerce, social media, and log analysis.
Elasticsearch network.hostLearn how to configure Elasticsearch network host settings for optimal communication between nodes and clients in various scenarios. Discover the importance of network.host and different configuration options.
Elasticsearch parse json fieldLearn how to parse JSON fields in Elasticsearch using Ingest Node, Query DSL, and Scripting to optimize search performance and extract valuable insights from your data.
Elasticsearch percolatorDiscover the power of Elasticsearch Percolator with our in-depth guide, covering use cases like monitoring, alerting, document classification, and real-time search suggestions. Learn how to implement this versatile feature for enhanced search experiences.
Elasticsearch query field contains textMaster the art of Elasticsearch queries with this comprehensive guide on constructing and optimizing queries for searching text in specific fields. Boost your search efficiency and relevance today!
Elasticsearch query match allLearn how to use Elasticsearch's match_all query to retrieve all documents within an index or multiple indices, and combine it with filters, aggregations, and sorting for powerful data operations.
Elasticsearch sum aggregationMaster the Elasticsearch sum aggregation for advanced data analysis, including calculating total sales, combining with other aggregations, and using scripted fields. Unlock powerful insights from your data with practical examples.
Elasticsearch monitoring metricsDiscover the key Elasticsearch monitoring metrics essential for optimal performance and maintaining the health of your cluster. Learn about cluster health, node-level, index-level, and query performance metrics to identify potential issues and take appropriate actions for smooth operation.
Elasticsearch multi index queryMaster advanced techniques and best practices for Elasticsearch multi-index queries, including using wildcards, aliases, index templates, and handling mapping conflicts for efficient and accurate results.
Elasticsearch multi index searchDiscover advanced techniques and best practices for performing multi-index searches in Elasticsearch, including using wildcards, aliases, filtering results, and optimizing performance for fast and efficient results.
Elasticsearch multiple indexesLearn how to manage multiple Elasticsearch indexes efficiently with best practices and performance optimization techniques, including index naming conventions, aliasing, lifecycle management, and more.
Elasticsearch knnExplore advanced techniques and optimization strategies for k-Nearest Neighbor (k-NN) search in Elasticsearch, including indexing, distance metrics, performance optimization, and handling large-scale data.
Elasticsearch minimum requirementsDiscover the minimum requirements for deploying an Elasticsearch cluster, including hardware specifications, JVM settings, and cluster configuration best practices to ensure optimal performance and stability.
Elasticsearch nest terms queryMaster the Elasticsearch nested terms query for advanced search capabilities in complex document relationships. Learn its use cases and effective implementation.
Elasticsearch not null queryLearn how to create not null queries in Elasticsearch to filter documents based on the presence or absence of specific fields. Discover how to use exists, bool, and script queries for powerful search conditions.
Elasticsearch query partial matchLearn various techniques for achieving partial matching in Elasticsearch, such as using wildcards, edge N-grams, and fuzzy queries, along with best practices for optimizing search performance.
Elasticsearch truncate fieldLearn how to truncate fields in Elasticsearch using ingest pipelines and Kibana scripted fields to optimize storage, improve search performance, and comply with data storage requirements.
Elasticsearch collapseImprove search efficiency and remove duplicate results with Elasticsearch Collapse. Learn how to implement this powerful feature for cleaner, more relevant search results in various use cases such as e-commerce, news aggregation, and job portals.
Elasticsearch insert documentImprove Elasticsearch document insertion performance with best practices like using Bulk API, optimizing index settings, and choosing appropriate data types. Learn more in this comprehensive guide.
Elasticsearch index listDiscover efficient management techniques and best practices for maintaining optimal performance in your Elasticsearch environment with our comprehensive guide on Elasticsearch index lists.
Elasticsearch query exampleExplore advanced Elasticsearch query techniques and best practices, including bool, boosting, nested, and multi-match queries, to create precise and relevant search experiences for your users.
Elasticsearch query dslDiscover advanced techniques and best practices for using Elasticsearch Query DSL to optimize search performance and improve search result relevancy. Learn about bool queries, query-time boosting, nested queries, custom scoring, and efficient result retrieval.
Elasticsearch wildcardMaster Elasticsearch wildcard queries with advanced techniques and best practices. Learn how to optimize performance, combine query types, use n-grams, and more for powerful search functionality.
Elasticsearch delete docLearn how to efficiently delete documents in Elasticsearch using different methods, along with best practices and considerations to maintain optimal performance and data integrity.
Elasticsearch shingles exampleImprove search result relevance in Elasticsearch with shingles (N-grams) by creating a custom analyzer and matching phrases more accurately. Learn how to implement this technique with a practical example.
Elasticsearch minimum_should_matchImprove search result relevance with advanced usage and optimization techniques for Elasticsearch's minimum_should_match parameter. Learn how to use percentages, conditional expressions, and more.
Elasticsearch msearchLearn how to optimize Elasticsearch's Multi-Search API for improved performance and simplified client-side code. Discover use cases, best practices, and examples for efficient multi-query execution.
Elasticsearch not indexed fieldLearn how to handle not indexed fields in Elasticsearch for storage optimization, performance improvement, and sensitive data protection. Discover use cases, configuration, and querying techniques.
Elasticsearch field is not emptyLearn how to query Elasticsearch for documents with non-empty fields using the `exists` query and the `bool` query with `must_not` and `missing` for older versions. Discover the preferred method for your Elasticsearch version.
Elasticsearch index patternDiscover best practices and usage tips for Elasticsearch index patterns, including using wildcards, date math, aliases, and optimizing performance. Learn how to effectively manage and optimize your index patterns for improved accuracy and performance.
Elasticsearch compressionDiscover the best practices and techniques for Elasticsearch compression, including index compression, source compression, and response compression. Optimize storage and network usage for improved query performance and reduced costs.
Elasticsearch document size limitExplore the Elasticsearch document size limit, its reasons, and strategies to handle larger documents effectively, ensuring optimal performance and resource usage.
Elasticsearch releasesStay up-to-date with Elasticsearch releases by understanding their versioning system, compatibility considerations, and upgrade strategies. Learn how to maintain a stable and secure environment by following best practices and testing upgrades before applying them to your production cluster.
Elasticsearch truncate fieldLearn how to truncate fields in Elasticsearch to save storage space and improve indexing and search performance. Explore different methods, including using ingest pipelines, scripted fields, and field formatters in Kibana.
Elasticsearch find document by field valueLearn how to find documents in Elasticsearch based on specific field values using Query DSL, including match, term, range, bool, and wildcard queries, with examples for each method.
Elasticsearch high level rest client deprecatedLearn about the deprecation of Elasticsearch High Level REST Client, its reasons, and alternatives available. Discover how to migrate to a new client for better flexibility and compatibility.
Elasticsearch fuzzyDiscover advanced techniques and use cases for Elasticsearch fuzzy queries, which improve search experiences by handling imprecise terms, typos, and synonyms. Learn how to customize fuzziness, prefix length, max expansions, and more.
Elasticsearch python exampleExplore how to use the Elasticsearch Python client, Elasticsearch-py, for indexing and searching documents in an Elasticsearch cluster. Learn to connect, index, and search with this step-by-step guide.
Elasticsearch releasesExplore Elasticsearch releases, versioning, and upgrade strategies to maintain a high-performing and secure search and analytics engine. Learn about major, minor, and patch releases, and follow best practices for upgrading your Elasticsearch cluster.
Elasticsearch health check curlLearn how to monitor your Elasticsearch cluster's health using cURL commands for checking overall cluster health, specific index health, and individual node health, ensuring smooth operation and early issue detection.
Elasticsearch curl deleteLearn how to efficiently and safely delete documents and indices in Elasticsearch using cURL with this comprehensive guide, covering best practices, examples, and potential issues to avoid.
Elasticsearch upsertExplore the top 10 benefits of using a virtual assistant in this insightful article. Learn how outsourcing tasks can save time, reduce stress, and boost productivity for your business.



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