Search APIs

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 Efficiently Counting Items in an Elasticsearch Index

In this article, we will discuss different approaches to count items in an index, their advantages, and limitations.

 Elasticsearch Percolate Query

Learn how to use the advanced features of Elasticsearch's Percolate Query. This guide covers use cases, tips for optimization and more

Advanced Guide to Facets in Elasticsearch

Facets are a key component of Elasticsearch, providing a powerful way for you to get more insight into your data. To implement...

Combined_Fields Query Type in Elasticsearch

In Elasticsearch, the combined_fields query allows you to search several text fields as though their indexed values have been indexed into...

Comparing Vector Search in OpenSearch vs. Elasticsearch

Here is a comparative analysis of vector search as implemented by OpenSearch and Elasticsearch. Vector search implementation...

Deep Dive into Elasticsearch Endpoints

The main Elasticsearch endpoints can be categorized into these types: Cluster APIs, Index APIs, Document APIs, and Search APIs. To use them...

Efficiently Searching by Document ID in Elasticsearch

In this article, we will discuss the different methods to search by document ID in Elasticsearch, their performance implications...

Elasticsearch _Score

In this article, we will delve into the factors affecting _score and how to optimize it for better search performance.

Elasticsearch Aggregation on Multiple Fields: A Comprehensive Guide

In this article, we will explore how to perform aggregations on multiple fields in Elasticsearch, including different types...

Elasticsearch Aggregation Query

Learn how to use Elasticsearch aggregation queries and explore various types of aggregations including metrics, bucketing, and pipeline.

Elasticsearch Array Match: Querying and Filtering Techniques

This article will discuss various techniques to perform array matching in Elasticsearch, including the use of...

Elasticsearch Async Search

The Elasticsearch async search API retrieves many data in a stream fashion instead of a single request. To limit the maximum response size...

Elasticsearch Boolean Queries

There are 4 types of Elasticsearch boolean clauses: filter, must, should & must_not. A single bool query can contain a mix of them. To use...

Elasticsearch Boosting Query

Elasticsearch boosting query is used to return only documents that match a positive query while minimizing the score of documents that...

Elasticsearch Collapse

This guide discusses the Elasticsearch collapse feature, including use cases, how to implement it, and best practices for optimizing...

Elasticsearch Composite Aggregations

An Elasticsearch composite aggregation allows to paginate every bucket from a multi-level aggregation effectively. An example of....

Elasticsearch Constant Score Query

In Elasticsearch, the constant score query wraps other queries by executing them in a filter context. To implement constant_score query...

Elasticsearch Count Distinct

Explore how to use Elasticsearch's cardinality aggregation feature for counting distinct field occurrences in datasets.

Elasticsearch Count Query: Advanced Techniques and Optimization

This article will discuss advanced techniques and optimization tips for using Elasticsearch count query effectively.

Elasticsearch Cross-Index Query: Advanced Techniques and Best Practices

In this article, we will discuss advanced techniques and best practices for performing cross-index queries in Elasticsearch.

Elasticsearch Date Histogram: Advanced Usage and Optimization Techniques

In this article, we will discuss advanced usage and optimization techniques for Elasticsearch date histograms.

Elasticsearch Date Range

Discover how to use date range queries in Elasticsearch to filter documents, guided by step-by-step instructions and examples.

Elasticsearch DSL Exists Query

The exists query is used for returning the documents that have an indexed value for a specific field, which means it returns the documents...

Elasticsearch Exact Match

In this article, we will discuss various techniques and best practices for exact match searches in Elasticsearch.

Elasticsearch Exists Filter

Learn how to use the exists filter with documents where a specified field contains non-null values.

Elasticsearch explain

In this guide, we'll dive into the Elasticsearch Explain API, its use cases & how to effectively leverage it for better search performance.

Elasticsearch Explain API

The Elasticsearch Explain API is very useful for trying to understand why any particular document got a specific score. Examples of...

Elasticsearch Explain Query

Learn how to use Elasticsearch's Explain Query to get detailed scoring computations and understand why one document ranks above another.

Elasticsearch field is not empty

This article will guide you through the process of querying Elasticsearch for documents where a specific field is not empty.

Elasticsearch Filter Aggregation: Advanced Usage and Optimization Techniques

In this article, we will explore advanced usage and optimization techniques for Elasticsearch filter aggregation.

Elasticsearch Filter Query

Learn how to implement, understand, and optimize Elasticsearch's filter queries for structured search, improving both speed and efficiency.

Elasticsearch Find Document by Field Value

In this guide, we'll discuss various methods to find documents in Elasticsearch by field value and give examples for each method.

Elasticsearch Function Score: Boosting Relevance with Custom Scoring

In this guide, we'll dive into the details of Elasticsearch Function Score and explore how to use it effectively to improve search results.

Elasticsearch Fuzzy Match: Advanced Techniques and Best Practices

Elasticsearch offers advanced techniques for implementing fuzzy matching such as fuzzy query, n-grams, and custom analyzers. To implement...

Elasticsearch Fuzzy Query

Elasticsearch fuzzy queries offer a powerful way to handle imprecise search terms. To fine-tune the behavior of fuzzy queries...

Elasticsearch Geo Bounding Box

Learn how to use the Geo Bounding Box query in Elasticsearch to retrieve documents within a specific geographical area with this guide.

Elasticsearch Geo Distance

Discover how to use the Geo-Distance query, guided by step-by-step instructions and examples to help you make the most of this feature.

Elasticsearch Group By

Learn how to perform "group by" operations in Elasticsearch, with examples and step-by-step instructions to guide you through the process.

Elasticsearch Group by Date

Learn how to group data by date fields in Elasticsearch using Date Histogram Aggregation. With step-by-step basic and advanced techniques.

Elasticsearch Group By Field: Aggregations and Bucketing Techniques

In this article, we will explore different techniques to group documents by a field using Elasticsearch aggregations and bucketing.

Elasticsearch Has-Child

Learn how to implement and query parent-child relationships. Understand how it differs from nested objects, its use-cases, and limitations.

Elasticsearch Hybrid Search

This guide covers the different types of hybrid search queries supported by Elasticsearch, its limitations, optimizations, and more.

Elasticsearch ids query

In this article, we will explore the Elasticsearch IDs query, its advantages, and how to use it effectively.

Elasticsearch Inner Hit

Learn how to retrieve nested objects and manage parent-child document relationships, with practical examples and step-by-step instructions

Elasticsearch Interval Queries

Elasticsearch Intervals query provides control over the words & their positions in a text that is required for a document to match a...

Elasticsearch Keyword vs. Text

Elasticsearch keyword vs. text vs. wildcard vs. text field types. All have different features and are ideal for different use cases

Elasticsearch knn

In this article, we will discuss advanced techniques and optimization strategies for kNN search in Elasticsearch. We will cover: indexing...

Elasticsearch Limit Results: Optimizing Query Performance and Pagination

In this article, we will discuss different techniques to limit the number of results returned by Elasticsearch & limitations to keep in mind.

Elasticsearch Lowercase Analysis

Learn how to ensure case-insensitive matching by lowercasing tokens and how to create custom analyzers and normalizers for text analysis.

Elasticsearch Match All Query

Learn how to use Elasticsearch's Match All Query to retrieve all documents within an index and how to optimize it for better performance.

Elasticsearch Match Phrase Query

Master precise text searches with Match Phrase Query. Learn the key differences from Match Query and how to boost relevance in results.

Elasticsearch Match, Multi-Match, and Match Phrase Queries

Match, Multi-Match & Match Phrase are all types of Elasticsearch queries, used to search for matching documents in an index. To use them...

Elasticsearch Minimum_should_match

The `minimum_should_match` parameter in Elasticsearch plays a crucial role in fine-tuning the relevance of search results. An Example...

Elasticsearch More_Like_This

This guide provides actionable examples for optimizing and fine-tuning the More_Like_This query for enhanced search results.

Elasticsearch Moving Function

Learn the advanced usage of moving functions in Elasticsearch, including how to implement models and metrics and some common use cases.

Elasticsearch Msearch

_Msearch in Elasticsearch allows you to send multiple search requests within a single HTTP request. The Multi-Search API...

Elasticsearch Multi_Match

Learn how to use Elasticsearch multi-match from basic syntax to advanced queries for precise and versatile searches across multiple fields.

Elasticsearch Multiple Aggregations: A Comprehensive Guide

In this article, we will explore how to use multiple aggregations in Elasticsearch to gain deeper insights into your data.

Elasticsearch Multiple Index Query: Advanced Techniques and Best Practices

In this article, we will discuss advanced techniques and best practices for querying multiple indices in Elasticsearch, including examples.

Elasticsearch Multiple Queries

In this guide, we'll discuss techniques for combining & optimizing multiple queries in Elasticsearch, including the use of compound...

Elasticsearch Nest Terms Query

The nested terms query is a powerful tool for searching within nested objects in Elasticsearch. To implement this query...

Elasticsearch Nested Filter

Learn how to define nested fields, index & query nested documents with the Elasticsearch Nested Filter. Before it, you need to define...

Elasticsearch Nested Query

An Elasticsearch nested query is used to search for documents containing specific criteria within these nested objects. To implement...

Elasticsearch Percolate Query

The Elasticsearch percolate query is a unique and valuable feature that allows users to perform reverse searches. To implement it...

Elasticsearch Post Filter

Learn Elasticsearch's Post Filter key use cases, how to implement it to enhance search results., and important performance considerations.

Elasticsearch Query Bool

Learn how to use Elasticsearch's bool query feature to combine different types of query clauses for more accurate and relevant search results

Elasticsearch Query DSL Examples

This guide explores best practices for constructing Elasticsearch queries, focusing on the Query DSL (Domain Specific Language). To create...

Elasticsearch Query Field Contains Text

This guide explains how to construct and optimize queries for searching text in specific fields using Elasticsearch. To use

Elasticsearch Query Match All

The Elasticsearch match_all query allows users to retrieve all documents within an index or multiple indices. To use Match_all...

Elasticsearch Query Multiple Indices: Best Practices and Performance Optimization

In this article, we will discuss best practices and performance optimization techniques for querying multiple indices in Elasticsearch.

Elasticsearch Query Nested

Learn how to use Nested Queries in Elasticsearch for querying complex, nested JSON documents and the essentials of terms & bool queries.

Elasticsearch Query Terms

This article will discuss advanced techniques to improve query performance and accuracy. First, Use the "bool" query for..

Elasticsearch Range Query: Advanced Usage and Optimization Techniques

In this guide, we'll show advanced usage & optimization techniques for range queries including how to use multiple ranges, optimize...

Elasticsearch Regex Query: Advanced Usage and Optimization

In this article, we will discuss the usage of regex queries in Elasticsearch, their performance implications...

Elasticsearch Return Count: Efficiently Counting Documents in Elasticsearch

In this article, we will explore different methods to efficiently count documents in Elasticsearch, including using the Count API...

Elasticsearch Runtime Fields: How to Use Lookup Runtime Fields

Elasticsearch runtime fields with a type of lookup can retrieve field values from the associated indices using the fields parameter on...

Elasticsearch search by two fields

In this guide, we'll explore techniques to perform searches by two fields, including multi-match queries, bool queries & query-time field...

Elasticsearch Search Multiple Indexes

In this article, we will discuss the best practices and optimization techniques when performing multi-index searches in Elasticsearch.

Elasticsearch Search Template

Learn how to create, register and effectively use Elasticsearch's search templates to format your queries and also with multi search API

Elasticsearch Search Unique Values: Aggregations and Cardinality

In this article, we will explore how to use Elasticsearch aggregations and the cardinality metric to search...

Elasticsearch Sentiment Analysis

Elasticsearch Sentiment Analysis determines the emotional tone of a text. Sentiment analysis has 2 categories: Binary and Multiclass...

Elasticsearch Shingles Example

Shingles, also known as word N-grams, are a useful technique for improving the relevance of search results in Elasticsearch. Examples...

Elasticsearch Sort by Boolean: Advanced Techniques and Best Practices

In this article, we will discuss advanced techniques and best practices for sorting documents by boolean fields in Elasticsearch.

Elasticsearch Sort: Advanced Techniques and Best Practices

Sorting is an essential aspect of Elasticsearch. In this article, we will explore advanced techniques and best practices for sorting.

Elasticsearch Span_Near Query

Learn how to use Elasticsearch's span_near query. Learn its structure, practical use-cases, and tips for optimization.

Elasticsearch String Contains Substring: Advanced Query Techniques

In this article, we will explore advanced techniques for querying Elasticsearch to find documents where a field contains...

Elasticsearch Term Filter

Learn how to filter documents based on exact matches in a specific field with Elasticsearch's term filter. Learn its usage & best practices.

Elasticsearch Terms Stats

Learn how to use Elasticsearch Terms Stats feature to index your data, generate term-based statistics, and analyze data with detailed guide.

Elasticsearch Token Synonyms

This article demonstrates practices for implementing token synonyms in Elasticsearch with a step-by-step guide on how...

Elasticsearch Wildcard Queries

Wildcard queries in Elasticsearch allow users to search for documents containing specific patterns in their text fields

Elasticsearch Wildcard Search on Multiple Fields

In this article, we will discuss how to perform wildcard searches on multiple fields in Elasticsearch. Wildcard queries enable users...

How to Build Your Own Elasticsearch Aggregation Using scripted_metric

The Elasticsearch scripted_metric aggregation enables users to write their own bespoke aggregation logic. Here's how to use it.

How to Build Your Own Mastering the Elasticsearch Multi-Get (MGET) Operation Aggregation Using scripted_metric

This guide delves into the intricacies of the Elasticsearch MGET operation, its syntax, how to optimize its usage & provides examples.

How to Optimize Match All Queries in Elasticsearch

In this article, we will discuss how to optimize match_all queries in Elasticsearch to ensure efficient and reliable results.

How to Optimize Nested Aggregations in Elasticsearch

In this article, we will discuss how to optimize nested aggregations in Elasticsearch for better performance and scalability.

How to Set Up Vector Search in Elasticsearch

This guide will delve into the main ways to perform vector search in Elasticsearch, how to run a k-NN search, configure the knn search...

Implementing Search-as-You-Type in Elasticsearch

In this article, we will discuss how to implement search-as-you-type in Elasticsearch using edge n-grams and the completion suggester.

Joining Two Indexes in Elasticsearch: A Comprehensive Guide

This article will delve into the process of joining two indexes in Elasticsearch, focusing on the use of the `terms` query and the...

Mastering Elasticsearch Sort Functionality for Optimized Query Performance

This article delves into the intricacies of Elasticsearch sort, offering insights on how to leverage this feature for optimized query...

Mastering Fixed_Interval Aggregations in Elasticsearch

In this article, we will dive deep into the concept of fixed interval aggregations, their use cases and implementation, including examples.

Mastering Fragment_Size in Elasticsearch for Optimized Search Results

This article delves into the intricacies of 'fragment_size' and how to effectively use it to optimize search results.

Mastering Group By Queries in Elasticsearch

This article will delve into the intricacies of using the "group by" functionality in Elasticsearch, providing examples and step-by-step...

Mastering Painless Scripting Language in Elasticsearch

Painless is a powerful and flexible scripting language that can be used to implement complex logic in Elasticsearch. To use it...

Mastering the Elasticsearch Cat API for Efficient Cluster Management

This article delves into the intricacies of Elasticsearch Cat API, how to use it, customize it, and troubleshoot with it, including examples.

Mastering the Use of Elasticsearch AND and OR Operators

The AND and OR operators in Elasticsearch allow for the creation of complex search conditions. To implement the AND and OR operators...

Named Queries

Named queries allow you to label your queries with a name. Named queries can be utilized in a variety of use cases such as...

Optimizing Elasticsearch Sort by Text Field

In this article, we will discuss how to optimize Elasticsearch when sorting by text fields, which can be a challenging task...

Parsing JSON Fields in Elasticsearch

In this article, we will discuss how to parse JSON fields in Elasticsearch, which is a common requirement when dealing...

Retrieving the Last Document in Elasticsearch

In this article, we will discuss how to retrieve the last document in Elasticsearch. This can be useful in various scenarios...

Slow Query Troubleshooting Guide

There are several potential reasons for a slow query in Elasticsearch. Slow logs can be used to detect & troubleshoot slow queries issues...

Terms Aggregation on High-Cardinality Fields in Elasticsearch

This guide explains how to get the best out of terms aggregation for high-cardinality fields in Elasticsearch. Understanding how it works...

Terms Enum API in Elasticsearch (For Low Latency Lookups)

In Elasticsearch, the Terms enum API looks for similarities in the index based on partial matches. To use the terms_enum API...

Understanding Elasticsearch Scoring and the Explain API

In this article, we will delve into the scoring mechanism of Elasticsearch and explore the Explain API, which helps...

Understanding Elasticsearch Slop and Its Usage

In this article, we will explore the concept of slop in Elasticsearch, its usage, and how to optimize its value for better search results.

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