issue: #41609
- add env `MILVUS_NODE_ID_FOR_TESTING` to set up a node id for milvus
process.
- add env `MILVUS_CONFIG_REFRESH_INTERVAL` to set up the refresh
interval of paramtable.
- Init paramtable when calling `paramtable.Get()`.
- add new multi process framework for integration test.
- change all integration test into multi process.
- merge some test case into one suite to speed up it.
- modify some test, which need to wait for issue #42966, #42685.
- remove the waittssync for delete collection to fix issue: #42989
---------
Signed-off-by: chyezh <chyezh@outlook.com>
issue: #32995
To speed up the construction and querying of Bloom filters, we chose a
blocked Bloom filter instead of a basic Bloom filter implementation.
WARN: This PR is compatible with old version bf impl, but if fall back
to old milvus version, it may causes bloom filter deserialize failed.
In single Bloom filter test cases with a capacity of 1,000,000 and a
false positive rate (FPR) of 0.001, the blocked Bloom filter is 5 times
faster than the basic Bloom filter in both querying and construction, at
the cost of a 30% increase in memory usage.
- Block BF construct time {"time": "54.128131ms"}
- Block BF size {"size": 3021578}
- Block BF Test cost {"time": "55.407352ms"}
- Basic BF construct time {"time": "210.262183ms"}
- Basic BF size {"size": 2396308}
- Basic BF Test cost {"time": "192.596229ms"}
In multi Bloom filter test cases with a capacity of 100,000, an FPR of
0.001, and 100 Bloom filters, we reuse the primary key locations for all
Bloom filters to avoid repeated hash computations. As a result, the
blocked Bloom filter is also 5 times faster than the basic Bloom filter
in querying.
- Block BF TestLocation cost {"time": "529.97183ms"}
- Basic BF TestLocation cost {"time": "3.197430181s"}
---------
Signed-off-by: Wei Liu <wei.liu@zilliz.com>
