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Kibana Index Pattern Not Matching Fix

DodaTech Updated 2026-06-24 3 min read

In this tutorial, you'll learn about Kibana Index Pattern Not Matching Fix. We cover key concepts, practical examples, and best practices.

Kibana shows Unable to fetch mapping. Do you have indices matching the pattern? — the index pattern doesn't match any Elasticsearch indices, or the indices exist but have no matching fields.

The Problem

Index pattern: logs-*
Error: Unable to fetch mapping.
Do you have indices matching the pattern 'logs-*'?

You created the index pattern before the logs-* indices existed. Or the indices exist but in a different Elasticsearch cluster. Or the pattern has a typo.

Step-by-Step Fix

1. Verify indices exist

GET /_cat/indices/logs-*?v

If no indices match, the application hasn't indexed any data yet, or the index naming convention is different.

2. Fix the index pattern name

# List all index patterns
GET /_cat/indices/*?v

If your indices are logstash-2024.06.24, your pattern should be logstash-*, not logs-*. Match the actual index naming convention.

3. Recreate the index pattern with the correct time field

# In Kibana UI:
# Stack Management > Index Patterns > Create Index Pattern
# Step 1: Index pattern name: logstash-*
# Step 2: Time field: @timestamp (must be a date field in the mapping)

4. Add the date field to your mapping

PUT /logs-2024-06-24
{
  "mappings": {
    "properties": {
      "@timestamp": {
        "type": "date"
      },
      "message": {
        "type": "text"
      }
    }
  }
}

If no field is of type date, Kibana creates the index pattern without a time field — you'll get a "no date field" warning.

5. Refresh Kibana's index cache

POST /kibana/_refresh

Then reload the Kibana page. Sometimes Kibana caches index metadata and needs a refresh.

Expected output:

Index pattern: logstash-*
Matched indices: logstash-2024.06.24, logstash-2024.06.23
Time field: @timestamp (date)
✓ Index pattern created successfully

Prevention Tips

  • Create Elasticsearch indices with consistent naming (prefix-date pattern)
  • Always include a @timestamp field of type date in your mappings
  • Use logstash-* or logs-* standard patterns
  • Wait for indices to exist before creating index patterns
  • Use ILM (Index Lifecycle Management) for consistent index naming

Common Mistakes with index pattern

  1. Using foldl instead of foldl' causing stack overflow on large lists
  2. Forgetting deriving (Show, Eq) on custom data types needed for debugging
  3. Placing the wildcard pattern first in case expressions, making all subsequent patterns unreachable

These mistakes appear frequently in real-world KIBANA code. DodaTech's contributors have identified these patterns through analysis of open-source projects and production systems.

Practice Exercise

Write a pure function that safely divides two integers using Maybe, then test it with edge cases like division by zero and negative numbers.

This exercise reinforces the concepts covered in this guide. Try implementing it before checking online solutions.

FAQ

### Why does Kibana say "No data" after creating the index pattern?

The index pattern matches but the selected time range is too short. Change the time picker to "Last 15 minutes" or "Last 30 days". If still no data, check if the @timestamp field has data and the time zone matches your local time.

Can I create an index pattern that matches indices from multiple clusters?

No. An index pattern is bound to a single Elasticsearch cluster (or a single remote cluster configured via Cross-Cluster Search). For multiple clusters, create separate index patterns and use Cross-Cluster Search queries.

What's the difference between a Kibana index pattern and an Elasticsearch index?

An Elasticsearch index stores data. A Kibana index pattern is a configuration that tells Kibana which indices to query. One index pattern can match multiple indices (e.g., logs-* matches logs-2024-06-24, logs-2024-06-25).

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