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[Bug] delete_all index is not working. #311

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2 tasks done
ARajgor opened this issue Feb 14, 2024 · 3 comments
Open
2 tasks done

[Bug] delete_all index is not working. #311

ARajgor opened this issue Feb 14, 2024 · 3 comments
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bug Something isn't working status:backlog This issue has been added to our backlog

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@ARajgor
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ARajgor commented Feb 14, 2024

Is this a new bug in the Pinecone Python client?

  • I believe this is a new bug in the Pinecone Python Client
  • I have searched the existing issues, and I could not find an existing issue for this bug

Current Behavior

I want to delete all the vector embeddings from the default namespace. I tried to follow the official documentation. I ran the code and it returned the empty string { } as expected but the vectors didn't got deleted from the pod. When I tried to run again index.describe_index_state() it shows all the indexes that are present.

Expected Behavior

It should remove all the vectors from the pods also. The request's response is an empty string but vectors aren't deleted.

Steps To Reproduce

Here is my code,

from pinecone import Pinecone

pc = Pinecone(api_key=os.getenv("PINECONE_API_KEY"))

index = pc.Index(<index-name>)

print(index.describe_index_stats())

print(index.delete(delete_all=True))

Relevant log output

No response

Environment

- OS: Windows 11
- Python: 3.11.4
- pinecone: 3.0.2

Additional Context

No response

@ARajgor ARajgor added the bug Something isn't working label Feb 14, 2024
@daverigby
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Note that delete(delete_all=True only deletes the vectors in the specified namespace (defaults to the default namespace). Indeed, I see the expected behaviour when I have two namespaces - default and ns_2 and call delete(delete_all=True):

>>> import pinecone
>>> pinecone.__version__
'3.0.2'
>>> pc = pinecone.Pinecone(api_key=my_api_key)
>>> index = pc.Index(host=my_index)
>>> index.describe_index_stats()
{'dimension': 4,
 'index_fullness': 0.0,
 'namespaces': {'': {'vector_count': 2}, 'ns_2': {'vector_count': 2}},
 'total_vector_count': 4}
>>> index.delete(delete_all=True)
{}
>>> index.describe_index_stats()
{'dimension': 4,
 'index_fullness': 0.0,
 'namespaces': {'ns_2': {'vector_count': 2}},
 'total_vector_count': 2}

Could you confirm what namespace(s) your data is stored in?

@ARajgor
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ARajgor commented Feb 15, 2024

currently, I only use the default namespace so I guess there is no need to pass the namespace.

See I run this cell and it respond with empty {}.
image

but in pinecode dashboard vectors are still present.
image
image

@ARajgor
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ARajgor commented Feb 18, 2024

Today I got a new error, namespace is not found. namespace parameter is optional for the default namespace.
I'm getting the same error in the curl request too.

image

image

@anawishnoff anawishnoff added status:needs-triage An issue that needs to be triaged by the Pinecone team status:backlog This issue has been added to our backlog and removed status:needs-triage An issue that needs to be triaged by the Pinecone team labels Aug 6, 2024
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