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3c80083f51
add sparse float vector support to different milvus components, including proxy, data node to receive and write sparse float vectors to binlog, query node to handle search requests, index node to build index for sparse float column, etc. https://github.com/milvus-io/milvus/issues/29419 --------- Signed-off-by: Buqian Zheng <zhengbuqian@gmail.com>
47 lines
1.6 KiB
Go
47 lines
1.6 KiB
Go
// Licensed to the LF AI & Data foundation under one
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// or more contributor license agreements. See the NOTICE file
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// distributed with this work for additional information
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// regarding copyright ownership. The ASF licenses this file
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// to you under the Apache License, Version 2.0 (the
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// "License"); you may not use this file except in compliance
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// with the License. You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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package indexnode
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import (
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"unsafe"
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"github.com/cockroachdb/errors"
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"github.com/milvus-io/milvus-proto/go-api/v2/schemapb"
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)
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func estimateFieldDataSize(dim int64, numRows int64, dataType schemapb.DataType) (uint64, error) {
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if dataType == schemapb.DataType_FloatVector {
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var value float32
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/* #nosec G103 */
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return uint64(dim) * uint64(numRows) * uint64(unsafe.Sizeof(value)), nil
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}
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if dataType == schemapb.DataType_BinaryVector {
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return uint64(dim) / 8 * uint64(numRows), nil
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}
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if dataType == schemapb.DataType_Float16Vector {
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return uint64(dim) * uint64(numRows) * 2, nil
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}
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if dataType == schemapb.DataType_BFloat16Vector {
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return uint64(dim) * uint64(numRows) * 2, nil
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}
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if dataType == schemapb.DataType_SparseFloatVector {
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return 0, errors.New("could not estimate field data size of SparseFloatVector")
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}
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return 0, nil
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}
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