Comments (4)
@weiliu1031 let's profiling all the filter in multiple dimensions:
- write speed
- query speed/batch query speed
- memory utilization
- if it can merge without loss precision it is a big plus
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is there any performance profiling result?
from milvus.
significantly faster.
https://arxiv.org/pdf/2201.01174
Alternatively, we may use `Blocked Bloom filters' (https://save-buffer.github.io/bloom_filter.html; an example of a go package is https://github.com/greatroar/blobloom)
from milvus.
/assign
from milvus.
Related Issues (20)
- [Feature]: Reranking step on binary search
- [Bug]: [GOSDK] Search with OutputFields but return empty fields data
- [Enhancement]: speed up array-equal operator via inverted index
- [Bug]: Lose valid data when setting radius and range filter in vector search HOT 2
- [Bug]: No error is returned when searching an empty collection with a vector that has a different schema dim HOT 2
- [Bug]: No error is returned when searching an empty collection with a vector that has a different schema DataType HOT 4
- [Bug]: System continues to create empty segments after upgrade to 2.4 HOT 2
- `id` [Feature]: test
- `env`[Feature]: test
- [Bug]: Flush timeout and search fails for nearly 17 minutes after chaos recovery from pod-kill standalone HOT 1
- [Feature]: Support Query GroupBy for Milvus HOT 2
- [Bug]: failed to create index, C Runtime Exception ,segcoreCode=2004 HOT 1
- [Feature]: add a pinnable cache
- [Bug]: Datacoord panics if querying an import job that does not exist
- [Bug]: DataNode oom may be caused by high msgstream memory usage HOT 2
- [Bug]: In a multi-vector scenario, using bulkInsert to import data results in a kernel DIM validation error. HOT 1
- [Bug]: In the RestfulV2 GetProgress interface, the fileName information returned can remove the file's UID.
- [Bug]: Async warmup doesn't work
- [Enhancement]: improve get collection info(id, schema etc) process and fix some consistency issues HOT 1
- [Bug]: DataNode panic: segment not found HOT 1
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