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reset diskann min dim limit (#26344)
Signed-off-by: cqy123456 <qianya.cheng@zilliz.com>
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@ -20,10 +20,10 @@ const (
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// DefaultMaxDim is the largest dimension supported in Milvus
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DefaultMaxDim = 32768
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// If Dim = 32 and raw vector data = 2G, query node need 24G disk space When loading the vectors' disk index
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// If Dim = 2, and raw vector data = 2G, query node need 240G disk space When loading the vectors' disk index
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// So DiskAnnMinDim should be greater than or equal to 32 to avoid running out of disk space
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DiskAnnMinDim = 32
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// If Dim = 32 and raw vector data = 2G, query node need ~17G disk space When loading the vectors' disk index
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// If Dim = 2, and raw vector data = 2G, query node need ~60G disk space When loading the vectors' disk index
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// So DiskAnnMinDim should be greater than or equal to 8 to avoid running out of disk space
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DiskAnnMinDim = 8
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HNSWMinEfConstruction = 8
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HNSWMaxEfConstruction = 512
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@ -23,7 +23,7 @@ func Test_diskannChecker_CheckTrain(t *testing.T) {
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}
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invalidParamsSmallDim := copyParams(validParams)
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invalidParamsSmallDim[DIM] = strconv.Itoa(15)
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invalidParamsSmallDim[DIM] = strconv.Itoa(4)
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p1 := map[string]string{
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DIM: strconv.Itoa(128),
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@ -1881,7 +1881,7 @@ class TestIndexDiskann(TestcaseBase):
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t.join()
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@pytest.mark.tags(CaseLabel.L1)
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@pytest.mark.parametrize("dim", [1, 2, 8, 16, 24, 31])
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@pytest.mark.parametrize("dim", [1, 2, 4, 6])
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def test_create_index_with_small_dim(self, dim):
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"""
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target: test create index with diskann
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