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Elasticsearch Query Optimization

Pain pointTrend: NewConfidence: LowFirst seen 7/29/2026 · last seen 7/29/2026

Opportunity score

38

Mentions

8

Communities

1

Growth since last check

new

What's happening

Users are struggling with slow query performance in Elasticsearch, with response times ranging from several seconds to minutes. They are seeking ways to optimize their queries to improve efficiency and reduce resource consumption.

Why this score: The posts indicate significant frustration with query performance, but there is limited mention of immediate purchasing intent for solutions.

Who's affected

data engineersDevOps teamssoftware developers

What people try to do

  • Trying various query structures and configurations to improve performance.
  • Following optimization strategies from community resources.

Why current solutions fail

  • Current queries are too complex and resource-intensive.
  • Lack of understanding of how to effectively optimize Elasticsearch queries.

What to build

  • Create a query optimization tool that analyzes and suggests improvements for Elasticsearch queries.
  • Develop a guide or service for tuning Elasticsearch configurations based on common query patterns.
  • Offer a consulting service to help companies optimize their Elasticsearch setups.

Reasons to be careful

  • The posts may be from a specific community or subset of users, which could limit the generalizability of the problem.

Evidence

Query Optimization

“We have Elastic v 7.8.0 We have monthly indices for each client, i.e: client_data_{cliendId}_2020-09. 1 primary shard, 1 replica for each index. One of the queries are taking too much time, and I'm trying understand why and how to optimize it. here is the query: GET client_data_XXX_2020-09/_searc...”

elastic-discuss · OmarDacca · 10/7/2020

Open original →

ILM query optimization

“Hi, We're using ILM to enable a hot/warm/cold architecture. We ingest quite a lot of data, and try to keep them for 90 days. Ingest is running smoothly, but I'm trying to speed up the querying. When I run a time based query on the filebeat-* index, I hit all the nodes, which is quite slow. Is the...”

elastic-discuss · coudenysj · 10/28/2019

Open original →

Sum bucket aggregation (high cardinality fields) - optimize query

“Hi! I need to get a specific metric per index. In the query, I have an IP field cardinality and a filtered cardinality of the same IP addresses grouped by a field. I need to subtract the filtered value from the total number and lastly sum all that value to get the final value I'm looking for. I u...”

elastic-discuss · YvorL · 5/14/2019

Open original →

General question on query optimization

“I have five general optimization strategy questions... I have a case where I need to search across multiple fields (about 16 to 32). The fields look as follows: Numeric arrays. All corresponding search terms must match. Should I store values as keywords or integers? Numeric ranges with preceding ...”

elastic-discuss · IanRC72 · 3/14/2019

Open original →

Search Query Optimization

“I'm using EC with 2 nodes with 64GB ram each, number of request ~1000 per minute and CPU/Memory is in green zone. My index is about 40 millions of items and search request is taking 5-7s to finish. I use function score query to rank my search result as example below: "from": 0, "size": 50, "query...”

elastic-discuss · merlinv · 8/1/2018

Open original →

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