Drop Non-Linear Algorithm Index

This request removes one or more non-linear algorithm indexes from a store.
Non-linear indexes (like KD-Tree) are used to accelerate similarity searches.

Input:

• store: the name of the store.

• non_linear_indices: list of algorithms to drop (e.g., KDTree).

• error_if_not_exists:

  • True: raises an error if the index does not exist.

  • False: silently ignores missing indexes.

• Behavior: The server attempts to remove the specified algorithm indexes from the store.

• Response:

  • deleted_count - the number of indexes successfully removed.

Click to expand source code

import asyncio
from grpclib.client import Channel
from ahnlich_client_py.grpc.services.db_service import DbServiceStub
from ahnlich_client_py.grpc.db import query as db_query
from ahnlich_client_py.grpc.algorithm.nonlinear import NonLinearAlgorithm


async def drop_non_linear_algo():
  async with Channel(host="127.0.0.1", port=1369) as channel:
      client = DbServiceStub(channel)
      
      response = await client.drop_non_linear_algorithm_index(
          db_query.DropNonLinearAlgorithmIndex(
              store="test store 003",
              non_linear_indices=[NonLinearAlgorithm.KDTree],
              error_if_not_exists=True
          )
      )
  # response.deleted_count shows how many indexes were removed
  print(response)


if __name__ == "__main__":
  asyncio.run(drop_non_linear_algo())

When to use:

• If you want to rebuild indexes with a different algorithm.
• If an index is no longer needed and you want to free resources.