Mr.He

@Ngalstyan4 It is indeed fast to insert data directly without an index. But my business does not allow indexing to be established after inserting data, as the formal business involves...

My vector field is already available and features have been extracted. My current business is to create an index in advance and then insert data, which has a low throughput

Because my feature model has already been generated, I may need a requirement for asynchronous index construction to ensure that the index construction does not affect the insertion of data

Hi @Ngalstyan4, Did you first create an hnsw index for the vector field before inserting the data, or did you insert the vector field directly without an hnsw index? What...

@Ngalstyan4 @var77 Let me test it

Hi @Ngalstyan4 @var77 I tested the throughput using @var77's notebook, which is still very low. May I know the configuration of Postgres and the version of lantern tested? {'platform': 'Darwin',...

@var77 lantern_v0.0.5?

@var77 Postgres installed on your macbookpro?

Hi @var77 I previously tested low throughput on mechanical hard drives, but there was a significant improvement in testing on MAC solid-state drives. I tested the throughput of a single...

` package com.fosafer.smart.utils; import cn.hutool.core.util.NumberUtil; import com.google.common.util.concurrent.ListenableFuture; import io.milvus.client.MilvusClient; import io.milvus.client.MilvusServiceClient; import io.milvus.common.clientenum.ConsistencyLevelEnum; import io.milvus.grpc.*; import io.milvus.param.*; import io.milvus.param.collection.*; import io.milvus.param.control.ManualCompactParam; import io.milvus.param.dml.DeleteParam; import io.milvus.param.dml.InsertParam; import io.milvus.param.dml.SearchParam; import io.milvus.param.index.*; import...