Elasticsearch and search infrastructure

Elasticsearch Performance Issues

Pain pointTrend: GrowingConfidence: MediumFirst seen 7/29/2026 · last seen 7/29/2026

Opportunity score

40

Mentions

20

Communities

3

Growth since last check

+33%

What's happening

Users are experiencing significant latency and performance issues with their Elasticsearch queries, often related to complex queries, large datasets, or improper indexing. Many are seeking optimization strategies to improve response times and reduce resource consumption.

Why this score: The posts indicate a strong frustration with query performance, suggesting a high pain level, but there is less urgency to pay for solutions.

Who's affected

data engineersDevOps teamssoftware developers

What people try to do

  • Trying to optimize queries by changing mappings and indexing strategies.
  • Seeking advice on best practices for query performance.

Why current solutions fail

  • Queries are taking too long to execute, often exceeding acceptable limits.
  • Existing tools and documentation do not provide sufficient guidance for complex queries.

What to build

  • Develop a query optimization tool that analyzes and suggests improvements for Elasticsearch queries.
  • Create a service that benchmarks query performance and provides recommendations based on usage patterns.
  • Offer a consulting service to help users optimize their Elasticsearch configurations and indexing strategies.

Evidence

Elasticsearch Performance Issue After Adding Second Node

Hello everyone, I'm currently experiencing a performance issue with my Elasticsearch cluster. Previously, I was using a single-node setup , and all queries—especially _count —were working quickly and reliably. Recently, I added a second node on a separate server, and while the node successfully j...

elastic-discuss · SalehEska · 7/15/2025

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Elasticsearch Runtime Query Performance Issues

<p>having huge latency issue while working with elasticsearch runtime query. i have a nested type mapping field &quot;actTypeCadence&quot;.</p> <p>&quot;actTypeCadence&quot;: { &quot;type&quot;: &quot;nested&quot;, &quot;dynamic&quot;: &quot;false&quot;, &quot;properties&quot;: { &quot;cadenceDaysOu

stackexchange · Karan · 6/10/2025

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How can my elasticsearch query be optimized?

<p>My query is taking more than a minute to execute most of the time. The index being queried also receives frequent write updates — at least 500 requests per minute. This is the query I am talking about:</p> <pre><code>GET /&lt;my-index&gt;/_search { &quot;query&quot;: { &quot;b

stackexchange · suvodipMondal · 4/24/2025

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Why is my new Elasticsearch index slower under load despite optimized mapping?

<p>We've created a new Elasticsearch index (test-events-v4) with what we believed to be a more optimized mapping for storage. However, during load testing, we've observed significantly higher 99th percentile and max latency compared to the old index (test-events-old) — even when querying the exact s

stackexchange · suvodipMondal · 4/15/2025

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PostgreSQL Full-Text Search: Fast When Done Right (Debunking the Slow Myth)

We&#x27;ve been using Elasticsearch + PG and it&#x27;s pretty nice and fast, but it adds a whole layer of extra stuff to deal with when your data is in PG but then also needs to be indexed into an external server outside of those PG transactions. In our case I&#x27;m pretty convinced it hasn&#x27;t

hackernews · bvirb · 4/9/2025

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