mirror of
https://gitee.com/milvus-io/milvus.git
synced 2024-12-08 23:10:07 +08:00
88b373b024
issue: #34357
Go Parquet uses dictionary encoding by default, and it will fall back to
plain encoding if the dictionary size exceeds the dictionary size page
limit. Users can specify custom fallback encoding by using
`parquet.WithEncoding(ENCODING_METHOD)` in writer properties. However,
Go Parquet [fallbacks to plain
encoding](e65c1e295d/go/parquet/file/column_writer_types.gen.go.tmpl (L238))
rather than custom encoding method users provide. Therefore, this patch
only turns off dictionary encoding for the primary key.
With a 5 million auto ID primary key benchmark, the parquet file size
improves from 13.93 MB to 8.36 MB when dictionary encoding is turned
off, reducing primary key storage space by 40%.
Signed-off-by: shaoting-huang <shaoting.huang@zilliz.com>
338 lines
9.8 KiB
Go
338 lines
9.8 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 storage
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import (
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"fmt"
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"testing"
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"github.com/stretchr/testify/assert"
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"github.com/milvus-io/milvus-proto/go-api/v2/commonpb"
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"github.com/milvus-io/milvus-proto/go-api/v2/schemapb"
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"github.com/milvus-io/milvus/internal/proto/etcdpb"
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"github.com/milvus-io/milvus/pkg/common"
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"github.com/milvus-io/milvus/pkg/util/typeutil"
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)
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func generateTestSchema() *schemapb.CollectionSchema {
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schema := &schemapb.CollectionSchema{Fields: []*schemapb.FieldSchema{
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{FieldID: common.TimeStampField, Name: "ts", DataType: schemapb.DataType_Int64},
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{FieldID: common.RowIDField, Name: "rowid", DataType: schemapb.DataType_Int64},
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{FieldID: 10, Name: "bool", DataType: schemapb.DataType_Bool},
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{FieldID: 11, Name: "int8", DataType: schemapb.DataType_Int8},
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{FieldID: 12, Name: "int16", DataType: schemapb.DataType_Int16},
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{FieldID: 13, Name: "int64", DataType: schemapb.DataType_Int64},
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{FieldID: 14, Name: "float", DataType: schemapb.DataType_Float},
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{FieldID: 15, Name: "double", DataType: schemapb.DataType_Double},
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{FieldID: 16, Name: "varchar", DataType: schemapb.DataType_VarChar, IsPrimaryKey: true},
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{FieldID: 17, Name: "string", DataType: schemapb.DataType_String},
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{FieldID: 18, Name: "array", DataType: schemapb.DataType_Array},
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{FieldID: 19, Name: "string", DataType: schemapb.DataType_JSON},
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{FieldID: 101, Name: "int32", DataType: schemapb.DataType_Int32},
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{FieldID: 102, Name: "floatVector", DataType: schemapb.DataType_FloatVector, TypeParams: []*commonpb.KeyValuePair{
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{Key: common.DimKey, Value: "8"},
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}},
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{FieldID: 103, Name: "binaryVector", DataType: schemapb.DataType_BinaryVector, TypeParams: []*commonpb.KeyValuePair{
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{Key: common.DimKey, Value: "8"},
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}},
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{FieldID: 104, Name: "float16Vector", DataType: schemapb.DataType_Float16Vector, TypeParams: []*commonpb.KeyValuePair{
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{Key: common.DimKey, Value: "8"},
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}},
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{FieldID: 105, Name: "bf16Vector", DataType: schemapb.DataType_BFloat16Vector, TypeParams: []*commonpb.KeyValuePair{
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{Key: common.DimKey, Value: "8"},
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}},
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{FieldID: 106, Name: "sparseFloatVector", DataType: schemapb.DataType_SparseFloatVector, TypeParams: []*commonpb.KeyValuePair{
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{Key: common.DimKey, Value: "28433"},
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}},
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}}
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return schema
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}
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func generateTestData(num int) ([]*Blob, error) {
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insertCodec := NewInsertCodecWithSchema(&etcdpb.CollectionMeta{ID: 1, Schema: generateTestSchema()})
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var (
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field0 []int64
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field1 []int64
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field10 []bool
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field11 []int8
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field12 []int16
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field13 []int64
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field14 []float32
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field15 []float64
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field16 []string
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field17 []string
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field18 []*schemapb.ScalarField
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field19 [][]byte
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field101 []int32
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field102 []float32
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field103 []byte
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field104 []byte
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field105 []byte
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field106 [][]byte
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)
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for i := 1; i <= num; i++ {
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field0 = append(field0, int64(i))
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field1 = append(field1, int64(i))
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field10 = append(field10, true)
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field11 = append(field11, int8(i))
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field12 = append(field12, int16(i))
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field13 = append(field13, int64(i))
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field14 = append(field14, float32(i))
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field15 = append(field15, float64(i))
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field16 = append(field16, fmt.Sprint(i))
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field17 = append(field17, fmt.Sprint(i))
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arr := &schemapb.ScalarField{
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Data: &schemapb.ScalarField_IntData{
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IntData: &schemapb.IntArray{Data: []int32{int32(i), int32(i), int32(i)}},
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},
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}
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field18 = append(field18, arr)
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field19 = append(field19, []byte{byte(i)})
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field101 = append(field101, int32(i))
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f102 := make([]float32, 8)
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for j := range f102 {
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f102[j] = float32(i)
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}
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field102 = append(field102, f102...)
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field103 = append(field103, 0xff)
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f104 := make([]byte, 16)
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for j := range f104 {
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f104[j] = byte(i)
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}
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field104 = append(field104, f104...)
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field105 = append(field105, f104...)
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field106 = append(field106, typeutil.CreateSparseFloatRow([]uint32{0, uint32(18 * i), uint32(284 * i)}, []float32{1.1, 0.3, 2.4}))
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}
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data := &InsertData{Data: map[FieldID]FieldData{
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common.RowIDField: &Int64FieldData{Data: field0},
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common.TimeStampField: &Int64FieldData{Data: field1},
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10: &BoolFieldData{Data: field10},
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11: &Int8FieldData{Data: field11},
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12: &Int16FieldData{Data: field12},
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13: &Int64FieldData{Data: field13},
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14: &FloatFieldData{Data: field14},
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15: &DoubleFieldData{Data: field15},
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16: &StringFieldData{Data: field16},
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17: &StringFieldData{Data: field17},
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18: &ArrayFieldData{Data: field18},
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19: &JSONFieldData{Data: field19},
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101: &Int32FieldData{Data: field101},
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102: &FloatVectorFieldData{
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Data: field102,
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Dim: 8,
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},
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103: &BinaryVectorFieldData{
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Data: field103,
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Dim: 8,
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},
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104: &Float16VectorFieldData{
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Data: field104,
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Dim: 8,
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},
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105: &BFloat16VectorFieldData{
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Data: field105,
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Dim: 8,
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},
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106: &SparseFloatVectorFieldData{
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SparseFloatArray: schemapb.SparseFloatArray{
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Dim: 28433,
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Contents: field106,
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},
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},
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}}
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blobs, err := insertCodec.Serialize(1, 1, data)
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return blobs, err
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}
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// Verify value of index i (1-based numbering) in data generated by generateTestData
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func assertTestData(t *testing.T, i int, value *Value) {
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f102 := make([]float32, 8)
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for j := range f102 {
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f102[j] = float32(i)
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}
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f104 := make([]byte, 16)
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for j := range f104 {
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f104[j] = byte(i)
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}
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f106 := typeutil.CreateSparseFloatRow([]uint32{0, uint32(18 * i), uint32(284 * i)}, []float32{1.1, 0.3, 2.4})
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assert.EqualValues(t, &Value{
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int64(i),
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&Int64PrimaryKey{Value: int64(i)},
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int64(i),
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false,
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map[FieldID]interface{}{
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common.TimeStampField: int64(i),
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common.RowIDField: int64(i),
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10: true,
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11: int8(i),
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12: int16(i),
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13: int64(i),
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14: float32(i),
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15: float64(i),
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16: fmt.Sprint(i),
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17: fmt.Sprint(i),
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18: &schemapb.ScalarField{Data: &schemapb.ScalarField_IntData{IntData: &schemapb.IntArray{Data: []int32{int32(i), int32(i), int32(i)}}}},
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19: []byte{byte(i)},
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101: int32(i),
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102: f102,
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103: []byte{0xff},
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104: f104,
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105: f104,
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106: f106,
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},
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}, value)
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}
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func TestInsertlogIterator(t *testing.T) {
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t.Run("empty iterator", func(t *testing.T) {
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itr := &InsertBinlogIterator{
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data: &InsertData{},
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}
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assert.False(t, itr.HasNext())
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_, err := itr.Next()
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assert.Equal(t, ErrNoMoreRecord, err)
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})
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t.Run("test dispose", func(t *testing.T) {
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blobs, err := generateTestData(1)
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assert.NoError(t, err)
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itr, err := NewInsertBinlogIterator(blobs, common.RowIDField, schemapb.DataType_Int64)
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assert.NoError(t, err)
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itr.Dispose()
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assert.False(t, itr.HasNext())
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_, err = itr.Next()
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assert.Equal(t, ErrDisposed, err)
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})
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t.Run("not empty iterator", func(t *testing.T) {
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blobs, err := generateTestData(3)
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assert.NoError(t, err)
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itr, err := NewInsertBinlogIterator(blobs, common.RowIDField, schemapb.DataType_Int64)
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assert.NoError(t, err)
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for i := 1; i <= 3; i++ {
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assert.True(t, itr.HasNext())
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v, err := itr.Next()
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assert.NoError(t, err)
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value := v.(*Value)
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assertTestData(t, i, value)
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}
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assert.False(t, itr.HasNext())
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_, err = itr.Next()
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assert.Equal(t, ErrNoMoreRecord, err)
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})
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}
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func TestMergeIterator(t *testing.T) {
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t.Run("empty iterators", func(t *testing.T) {
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iterators := make([]Iterator, 0)
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for i := 0; i < 3; i++ {
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iterators = append(iterators, &InsertBinlogIterator{
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data: &InsertData{},
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})
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}
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itr := NewMergeIterator(iterators)
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assert.False(t, itr.HasNext())
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_, err := itr.Next()
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assert.Equal(t, ErrNoMoreRecord, err)
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})
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t.Run("empty and non-empty iterators", func(t *testing.T) {
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blobs, err := generateTestData(3)
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assert.NoError(t, err)
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insertItr, err := NewInsertBinlogIterator(blobs, common.RowIDField, schemapb.DataType_Int64)
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assert.NoError(t, err)
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iterators := []Iterator{
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&InsertBinlogIterator{data: &InsertData{}},
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insertItr,
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}
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itr := NewMergeIterator(iterators)
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for i := 1; i <= 3; i++ {
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assert.True(t, itr.HasNext())
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v, err := itr.Next()
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assert.NoError(t, err)
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value := v.(*Value)
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assertTestData(t, i, value)
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}
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assert.False(t, itr.HasNext())
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_, err = itr.Next()
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assert.Equal(t, ErrNoMoreRecord, err)
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})
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t.Run("non-empty iterators", func(t *testing.T) {
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blobs, err := generateTestData(3)
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assert.NoError(t, err)
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itr1, err := NewInsertBinlogIterator(blobs, common.RowIDField, schemapb.DataType_Int64)
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assert.NoError(t, err)
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itr2, err := NewInsertBinlogIterator(blobs, common.RowIDField, schemapb.DataType_Int64)
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assert.NoError(t, err)
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iterators := []Iterator{itr1, itr2}
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itr := NewMergeIterator(iterators)
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for i := 1; i <= 3; i++ {
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for j := 0; j < 2; j++ {
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assert.True(t, itr.HasNext())
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v, err := itr.Next()
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assert.NoError(t, err)
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value := v.(*Value)
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assertTestData(t, i, value)
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}
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}
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assert.False(t, itr.HasNext())
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_, err = itr.Next()
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assert.Equal(t, ErrNoMoreRecord, err)
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})
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t.Run("test dispose", func(t *testing.T) {
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blobs, err := generateTestData(3)
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assert.NoError(t, err)
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itr1, err := NewInsertBinlogIterator(blobs, common.RowIDField, schemapb.DataType_Int64)
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assert.NoError(t, err)
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itr := NewMergeIterator([]Iterator{itr1})
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itr.Dispose()
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assert.False(t, itr.HasNext())
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_, err = itr.Next()
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assert.Equal(t, ErrDisposed, err)
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})
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}
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