mirror of https://github.com/milvus-io/milvus.git
71 lines
2.3 KiB
Go
71 lines
2.3 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 indexparamcheck
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import (
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"fmt"
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"math"
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"strings"
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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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"github.com/milvus-io/milvus/pkg/common"
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)
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type baseChecker struct{}
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func (c baseChecker) CheckTrain(params map[string]string) error {
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// vector dimension should be checked on collection creation. this is just some basic check
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isSparse := false
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if val, exist := params[common.IsSparseKey]; exist {
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val = strings.ToLower(val)
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if val != "true" && val != "false" {
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return fmt.Errorf("invalid is_sparse value: %s, must be true or false", val)
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}
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if val == "true" {
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isSparse = true
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}
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}
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if isSparse {
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if !CheckStrByValues(params, Metric, SparseMetrics) {
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return fmt.Errorf("metric type not found or not supported for sparse float vectors, supported: %v", SparseMetrics)
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}
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} else {
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// we do not check dim for sparse
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if !CheckIntByRange(params, DIM, 1, math.MaxInt) {
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return fmt.Errorf("failed to check vector dimension, should be larger than 0 and smaller than math.MaxInt")
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}
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}
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return nil
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}
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// CheckValidDataType check whether the field data type is supported for the index type
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func (c baseChecker) CheckValidDataType(field *schemapb.FieldSchema) error {
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return nil
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}
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func (c baseChecker) SetDefaultMetricTypeIfNotExist(m map[string]string, dType schemapb.DataType) {}
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func (c baseChecker) StaticCheck(params map[string]string) error {
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return errors.New("unsupported index type")
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}
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func newBaseChecker() IndexChecker {
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return &baseChecker{}
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}
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