ElasticSearch Python Client：如何获取别名对应的索引名称

Great question! I’ve run into this exact scenario before, so let me break it down clearly for you:

First off, Elasticsearch doesn’t have a dedicated es.indices.get_index(aliasname) endpoint, but there’s an official, built-in way to achieve this reverse lookup using the same get_alias API you’re already using.

How to do it properly #

Instead of passing an index name to get_alias, you can pass the alias name directly via the name parameter. The response will structure results with index names as the top-level keys, making it super easy to extract which indices are linked to your target alias.

Here’s a quick example using the Python Elasticsearch client:

from elasticsearch import Elasticsearch

# Initialize your ES client
es = Elasticsearch("http://your-es-instance:9200")

# Define the alias you want to look up
target_alias = "my-target-alias"

# Fetch indices tied to the alias
alias_response = es.indices.get_alias(name=target_alias)

# Extract the index names from the response
associated_indices = list(alias_response.keys())

print(f"Indices linked to alias '{target_alias}': {associated_indices}")

Why this works #

The get_alias API is intentionally flexible:

• When you pass an index name, it returns all aliases attached to that index.
• When you pass an alias name (via the name parameter), it returns all indices that have that alias assigned.

So your "temporary solution" using get_alias is actually the official recommended approach for this reverse lookup—you were already on the right track!

Bonus: You can even pass a list of aliases to the name parameter if you need to check multiple aliases at once, like name=["alias-one", "alias-two"].

内容的提问来源于stack exchange，提问作者kee