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https://gitee.com/milvus-io/milvus.git
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This PR improves the robustness of object storage operations by retrying both explicit throttling errors (e.g. HTTP 429, SlowDown, ServerBusy). These errors commonly occur under high concurrency and are typically recoverable with bounded retries. issue: https://github.com/milvus-io/milvus/issues/44772 <!-- This is an auto-generated comment: release notes by coderabbit.ai --> ## Summary by CodeRabbit * **New Features** * Configurable retry support for reads from object storage and improved mapping of transient/rate-limit errors. * Added a retryable reader wrapper used by CSV/JSON/Parquet/Numpy import paths. * **Configuration** * New parameter to control storage read retry attempts. * **Tests** * Expanded unit tests covering error mapping and retry behaviors across storage backends. * Standardized mock readers and test initialization to simplify test setups. <sub>✏️ Tip: You can customize this high-level summary in your review settings.</sub> <!-- end of auto-generated comment: release notes by coderabbit.ai --> --------- Signed-off-by: bigsheeper <yihao.dai@zilliz.com>
787 lines
28 KiB
Go
787 lines
28 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 csv
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import (
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"strconv"
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"strings"
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"testing"
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"github.com/stretchr/testify/assert"
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"github.com/stretchr/testify/suite"
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"github.com/twpayne/go-geom/encoding/wkb"
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"github.com/twpayne/go-geom/encoding/wkbcommon"
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"github.com/twpayne/go-geom/encoding/wkt"
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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/json"
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"github.com/milvus-io/milvus/pkg/v2/common"
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"github.com/milvus-io/milvus/pkg/v2/util/typeutil"
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)
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type RowParserSuite struct {
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suite.Suite
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autoID bool
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hasNullable bool
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hasDynamic bool
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nullKey string
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schema *schemapb.CollectionSchema
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}
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type testCase struct {
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name string
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content map[string]string
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dontCheckDynamic bool
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}
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func (suite *RowParserSuite) SetupTest() {
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// default suite params
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suite.nullKey = ""
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suite.setSchema(true, true, true)
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}
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func (suite *RowParserSuite) setSchema(autoID bool, hasNullable bool, hasDynamic bool) {
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suite.autoID = autoID
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suite.hasNullable = hasNullable
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suite.hasDynamic = hasDynamic
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suite.schema = suite.createAllTypesSchema()
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}
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func (suite *RowParserSuite) createArrayFieldSchema(id int64, name string, elementType schemapb.DataType, nullable bool) *schemapb.FieldSchema {
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return &schemapb.FieldSchema{
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FieldID: id,
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Name: name,
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DataType: schemapb.DataType_Array,
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ElementType: elementType,
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TypeParams: []*commonpb.KeyValuePair{
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{
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Key: common.MaxCapacityKey,
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Value: "4",
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},
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{
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Key: common.MaxLengthKey,
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Value: "8",
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},
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},
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Nullable: nullable,
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}
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}
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func (suite *RowParserSuite) createAllTypesSchema() *schemapb.CollectionSchema {
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structArray := &schemapb.StructArrayFieldSchema{
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FieldID: 1000,
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Name: "struct_array",
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Fields: []*schemapb.FieldSchema{
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suite.createArrayFieldSchema(1001, "struct_array[sub_bool]", schemapb.DataType_Bool, false),
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suite.createArrayFieldSchema(1002, "struct_array[sub_int8]", schemapb.DataType_Int8, false),
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suite.createArrayFieldSchema(1003, "struct_array[sub_int16]", schemapb.DataType_Int16, false),
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suite.createArrayFieldSchema(1004, "struct_array[sub_int32]", schemapb.DataType_Int32, false),
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suite.createArrayFieldSchema(1005, "struct_array[sub_int64]", schemapb.DataType_Int64, false),
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suite.createArrayFieldSchema(1006, "struct_array[sub_float]", schemapb.DataType_Float, false),
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suite.createArrayFieldSchema(1007, "struct_array[sub_double]", schemapb.DataType_Double, false),
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suite.createArrayFieldSchema(1008, "struct_array[sub_str]", schemapb.DataType_VarChar, false),
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{
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FieldID: 1009,
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Name: "struct_array[sub_float_vector]",
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DataType: schemapb.DataType_ArrayOfVector,
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ElementType: schemapb.DataType_FloatVector,
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TypeParams: []*commonpb.KeyValuePair{
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{
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Key: common.MaxCapacityKey,
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Value: "4",
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},
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{
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Key: common.DimKey,
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Value: "2",
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},
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},
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},
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},
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}
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schema := &schemapb.CollectionSchema{
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EnableDynamicField: suite.hasDynamic,
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Fields: []*schemapb.FieldSchema{
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{
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FieldID: 1,
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Name: "id",
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IsPrimaryKey: true,
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DataType: schemapb.DataType_Int64,
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AutoID: suite.autoID,
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},
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{
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FieldID: 21,
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Name: "float_vector",
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DataType: schemapb.DataType_FloatVector,
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TypeParams: []*commonpb.KeyValuePair{{Key: common.DimKey, Value: "2"}},
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},
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{
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FieldID: 22,
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Name: "bin_vector",
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DataType: schemapb.DataType_BinaryVector,
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TypeParams: []*commonpb.KeyValuePair{{Key: common.DimKey, Value: "16"}},
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},
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{
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FieldID: 23,
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Name: "sparse_vector",
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DataType: schemapb.DataType_SparseFloatVector,
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},
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{
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FieldID: 24,
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Name: "f16_vector",
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DataType: schemapb.DataType_Float16Vector,
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TypeParams: []*commonpb.KeyValuePair{{Key: common.DimKey, Value: "2"}},
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},
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{
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FieldID: 25,
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Name: "bf16_vector",
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DataType: schemapb.DataType_BFloat16Vector,
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TypeParams: []*commonpb.KeyValuePair{{Key: common.DimKey, Value: "2"}},
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},
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{
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FieldID: 26,
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Name: "int8_vector",
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DataType: schemapb.DataType_Int8Vector,
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TypeParams: []*commonpb.KeyValuePair{{Key: common.DimKey, Value: "2"}},
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},
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{
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FieldID: 27,
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Name: "function_sparse_vector",
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DataType: schemapb.DataType_SparseFloatVector,
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IsFunctionOutput: true,
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},
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suite.createArrayFieldSchema(50, "array_bool", schemapb.DataType_Bool, suite.hasNullable),
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suite.createArrayFieldSchema(51, "array_int8", schemapb.DataType_Int8, suite.hasNullable),
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suite.createArrayFieldSchema(52, "array_int16", schemapb.DataType_Int16, suite.hasNullable),
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suite.createArrayFieldSchema(53, "array_int32", schemapb.DataType_Int32, suite.hasNullable),
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suite.createArrayFieldSchema(54, "array_int64", schemapb.DataType_Int64, suite.hasNullable),
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suite.createArrayFieldSchema(55, "array_float", schemapb.DataType_Float, suite.hasNullable),
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suite.createArrayFieldSchema(56, "array_double", schemapb.DataType_Double, suite.hasNullable),
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suite.createArrayFieldSchema(57, "array_varchar", schemapb.DataType_VarChar, suite.hasNullable),
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{
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FieldID: 101,
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Name: "bool",
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DataType: schemapb.DataType_Bool,
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Nullable: suite.hasNullable,
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},
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{
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FieldID: 102,
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Name: "int8",
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DataType: schemapb.DataType_Int8,
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Nullable: suite.hasNullable,
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},
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{
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FieldID: 103,
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Name: "int16",
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DataType: schemapb.DataType_Int16,
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Nullable: suite.hasNullable,
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},
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{
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FieldID: 104,
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Name: "int32",
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DataType: schemapb.DataType_Int32,
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Nullable: suite.hasNullable,
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},
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{
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FieldID: 105,
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Name: "int64",
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DataType: schemapb.DataType_Int64,
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Nullable: suite.hasNullable,
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DefaultValue: &schemapb.ValueField{
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Data: &schemapb.ValueField_LongData{
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LongData: int64(100),
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},
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},
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},
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{
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FieldID: 106,
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Name: "float",
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DataType: schemapb.DataType_Float,
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Nullable: suite.hasNullable,
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},
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{
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FieldID: 107,
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Name: "double",
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DataType: schemapb.DataType_Double,
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Nullable: suite.hasNullable,
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},
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{
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FieldID: 108,
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Name: "varchar",
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DataType: schemapb.DataType_VarChar,
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TypeParams: []*commonpb.KeyValuePair{
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{
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Key: "max_length",
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Value: "8",
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},
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},
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Nullable: suite.hasNullable,
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},
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{
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FieldID: 109,
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Name: "json",
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DataType: schemapb.DataType_JSON,
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Nullable: suite.hasNullable,
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},
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{
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FieldID: 110,
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Name: "geometry",
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DataType: schemapb.DataType_Geometry,
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Nullable: suite.hasNullable,
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},
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},
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StructArrayFields: []*schemapb.StructArrayFieldSchema{structArray},
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}
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if suite.hasDynamic {
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schema.Fields = append(schema.Fields, &schemapb.FieldSchema{
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FieldID: 9999,
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Name: "$meta",
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DataType: schemapb.DataType_JSON,
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IsDynamic: true,
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})
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}
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return schema
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}
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func (suite *RowParserSuite) genAllTypesRowData(resetKey string, resetVal string, deleteKeys ...string) map[string]string {
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rawContent := make(map[string]string)
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if !suite.autoID {
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rawContent["id"] = "1"
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}
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rawContent["float_vector"] = "[0.1, 0.2]"
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rawContent["bin_vector"] = "[22, 33]"
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rawContent["f16_vector"] = "[0.2, 0.3]"
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rawContent["bf16_vector"] = "[0.3, 0.4]"
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rawContent["int8_vector"] = "[2, 5]"
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rawContent["sparse_vector"] = "{\"1\":0.5,\"10\":1.5,\"100\":2.5}"
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rawContent["array_bool"] = "[true, false]"
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rawContent["array_int8"] = "[1, 2]"
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rawContent["array_int16"] = "[1, 2]"
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rawContent["array_int32"] = "[1, 2]"
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rawContent["array_int64"] = "[1, 2]"
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rawContent["array_float"] = "[0.1, 0.2]"
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rawContent["array_double"] = "[0.2, 0.3]"
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rawContent["array_varchar"] = "[\"aaa\", \"bbb\"]"
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rawContent["bool"] = "true"
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rawContent["int8"] = "8"
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rawContent["int16"] = "16"
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rawContent["int32"] = "32"
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rawContent["int64"] = "64"
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rawContent["float"] = "3.14"
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rawContent["double"] = "6.28"
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rawContent["varchar"] = "test"
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rawContent["json"] = "{\"a\": 1}"
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rawContent["x"] = "2"
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rawContent["$meta"] = "{\"dynamic\": \"dummy\"}"
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rawContent["struct_array"] = "[{\"sub_bool\": true, \"sub_int8\": 3, \"sub_int16\": 4, \"sub_int16\": 5, \"sub_int32\": 6," +
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"\"sub_int64\": 7, \"sub_float\": 3.1415, \"sub_double\": 99.99, \"sub_float_vector\": [0.1, 0.2], \"sub_str\": \"hello1\"}, " +
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"{\"sub_bool\": false, \"sub_int8\": 13, \"sub_int16\": 14, \"sub_int16\": 15, \"sub_int32\": 16," +
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"\"sub_int64\": 17, \"sub_float\": 13.1415, \"sub_double\": 199.99, \"sub_float_vector\": [0.3, 0.4], \"sub_str\": \"hello2\"}]"
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rawContent["geometry"] = "POINT (30.123 -10.456)"
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rawContent[resetKey] = resetVal // reset a value
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for _, deleteKey := range deleteKeys {
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delete(rawContent, deleteKey) // delete a key
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}
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return rawContent
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}
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func convertVector[T any](t *testing.T, rawVal string) []T {
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var vec []T
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err := json.Unmarshal([]byte(rawVal), &vec)
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assert.NoError(t, err)
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return vec
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}
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func toBinVector(t *testing.T, vec []float32, method func(float32) []byte) []byte {
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res := make([]byte, len(vec)*2)
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for i := 0; i < len(vec); i++ {
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copy(res[i*2:], method(vec[i]))
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}
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return res
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}
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func compareArrays[T any](t *testing.T, rawVal string, val []T, parseFn func(s string) T) {
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var arr []interface{}
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desc := json.NewDecoder(strings.NewReader(rawVal))
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desc.UseNumber()
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err := desc.Decode(&arr)
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assert.NoError(t, err)
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values := make([]T, len(arr))
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for i, v := range arr {
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if parseFn != nil {
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value, ok := v.(json.Number)
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assert.True(t, ok)
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num := parseFn(value.String())
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values[i] = num
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} else {
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value, ok := v.(T)
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assert.True(t, ok)
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values[i] = value
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}
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}
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assert.Equal(t, len(values), len(val))
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assert.Equal(t, values, val)
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}
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func compareValues(t *testing.T, field *schemapb.FieldSchema, val any) {
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if field.GetDefaultValue() != nil {
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switch field.GetDataType() {
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case schemapb.DataType_Bool:
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assert.Equal(t, field.GetDefaultValue().GetBoolData(), val.(bool))
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case schemapb.DataType_Int8:
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assert.Equal(t, field.GetDefaultValue().GetIntData(), int32(val.(int8)))
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case schemapb.DataType_Int16:
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assert.Equal(t, field.GetDefaultValue().GetIntData(), int32(val.(int16)))
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case schemapb.DataType_Int32:
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assert.Equal(t, field.GetDefaultValue().GetIntData(), val.(int32))
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case schemapb.DataType_Int64:
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assert.Equal(t, field.GetDefaultValue().GetLongData(), val.(int64))
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case schemapb.DataType_Float:
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assert.Equal(t, field.GetDefaultValue().GetFloatData(), val.(float32))
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case schemapb.DataType_Double:
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assert.Equal(t, field.GetDefaultValue().GetDoubleData(), val.(float64))
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case schemapb.DataType_VarChar:
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assert.Equal(t, field.GetDefaultValue().GetStringData(), val.(string))
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case schemapb.DataType_Geometry:
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assert.Equal(t, field.GetDefaultValue().GetStringData(), val.(string))
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default:
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}
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} else if field.GetNullable() {
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assert.Nil(t, val)
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}
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}
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func (suite *RowParserSuite) genRowContent(schema *schemapb.CollectionSchema, content map[string]string) ([]string, []string) {
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header := make([]string, 0, len(content))
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rowContent := make([]string, 0, len(content))
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for k, v := range content {
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header = append(header, k)
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rowContent = append(rowContent, v)
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}
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return header, rowContent
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}
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func parseInt[T int8 | int16 | int32 | int64](t *testing.T, rawVal string, bitSize int) T {
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num, err := strconv.ParseInt(rawVal, 10, bitSize)
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assert.NoError(t, err)
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return T(num)
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}
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func parseFloat[T float32 | float64](t *testing.T, rawVal string, bitSize int) T {
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num, err := strconv.ParseFloat(rawVal, bitSize)
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assert.NoError(t, err)
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return T(num)
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}
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func (suite *RowParserSuite) runValid(c *testCase) {
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t := suite.T()
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t.Helper()
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t.Log(c.name)
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schema := suite.createAllTypesSchema()
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header, rowContent := suite.genRowContent(schema, c.content)
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parser, err := NewRowParser(schema, header, suite.nullKey)
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suite.NoError(err)
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row, err := parser.Parse(rowContent)
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suite.NoError(err)
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if suite.autoID {
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_, ok := row[1]
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suite.False(ok)
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} else {
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val, ok := row[1]
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suite.True(ok)
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suite.Equal(parseInt[int64](t, c.content["id"], 64), val)
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}
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for _, field := range schema.GetFields() {
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val, ok := row[field.GetFieldID()]
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if field.GetAutoID() || field.GetIsFunctionOutput() {
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suite.False(ok)
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}
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if !ok || field.GetIsDynamic() {
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continue
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}
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t := suite.T()
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rawVal, ok := c.content[field.GetName()]
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if !ok || rawVal == suite.nullKey {
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compareValues(t, field, val)
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continue
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}
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|
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switch field.GetDataType() {
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case schemapb.DataType_Bool:
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b, err := strconv.ParseBool(rawVal)
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suite.NoError(err)
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suite.Equal(b, val)
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case schemapb.DataType_Int8:
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suite.Equal(parseInt[int8](t, rawVal, 8), val)
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case schemapb.DataType_Int16:
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suite.Equal(parseInt[int16](t, rawVal, 16), val)
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case schemapb.DataType_Int32:
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suite.Equal(parseInt[int32](t, rawVal, 32), val)
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case schemapb.DataType_Int64:
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suite.Equal(parseInt[int64](t, rawVal, 64), val)
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case schemapb.DataType_Float:
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suite.Equal(parseFloat[float32](t, rawVal, 32), val)
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case schemapb.DataType_Double:
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suite.Equal(parseFloat[float64](t, rawVal, 64), val)
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case schemapb.DataType_VarChar:
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suite.Equal(rawVal, val)
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case schemapb.DataType_JSON:
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suite.Equal([]byte(rawVal), val)
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case schemapb.DataType_FloatVector:
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|
vec := convertVector[float32](t, rawVal)
|
|
suite.Equal(vec, val.([]float32))
|
|
case schemapb.DataType_BinaryVector:
|
|
vec := convertVector[byte](t, rawVal)
|
|
suite.Equal(vec, val.([]byte))
|
|
case schemapb.DataType_Float16Vector:
|
|
vec := convertVector[float32](t, rawVal)
|
|
binVec := toBinVector(t, vec, typeutil.Float32ToFloat16Bytes)
|
|
suite.Equal(binVec, val.([]byte))
|
|
case schemapb.DataType_BFloat16Vector:
|
|
vec := convertVector[float32](t, rawVal)
|
|
binVec := toBinVector(t, vec, typeutil.Float32ToBFloat16Bytes)
|
|
suite.Equal(binVec, val.([]byte))
|
|
case schemapb.DataType_Int8Vector:
|
|
vec := convertVector[int8](t, rawVal)
|
|
suite.Equal(vec, val.([]int8))
|
|
case schemapb.DataType_SparseFloatVector:
|
|
var vec map[string]interface{}
|
|
dec := json.NewDecoder(strings.NewReader(rawVal))
|
|
dec.UseNumber()
|
|
err := dec.Decode(&vec)
|
|
suite.NoError(err)
|
|
sparse, _ := typeutil.CreateSparseFloatRowFromMap(vec)
|
|
suite.Equal(sparse, val)
|
|
|
|
case schemapb.DataType_Array:
|
|
sf, _ := val.(*schemapb.ScalarField)
|
|
switch field.GetElementType() {
|
|
case schemapb.DataType_Bool:
|
|
compareArrays[bool](t, rawVal, sf.GetBoolData().GetData(), nil)
|
|
case schemapb.DataType_Int8, schemapb.DataType_Int16, schemapb.DataType_Int32:
|
|
compareArrays[int32](t, rawVal, sf.GetIntData().GetData(), func(s string) int32 {
|
|
num, err := strconv.ParseInt(s, 10, 32)
|
|
suite.NoError(err)
|
|
return int32(num)
|
|
})
|
|
case schemapb.DataType_Int64:
|
|
compareArrays[int64](t, rawVal, sf.GetLongData().GetData(), func(s string) int64 {
|
|
num, err := strconv.ParseInt(s, 10, 64)
|
|
suite.NoError(err)
|
|
return num
|
|
})
|
|
case schemapb.DataType_Float:
|
|
compareArrays[float32](t, rawVal, sf.GetFloatData().GetData(), func(s string) float32 {
|
|
num, err := strconv.ParseFloat(s, 32)
|
|
suite.NoError(err)
|
|
return float32(num)
|
|
})
|
|
case schemapb.DataType_Double:
|
|
compareArrays[float64](t, rawVal, sf.GetDoubleData().GetData(), func(s string) float64 {
|
|
num, err := strconv.ParseFloat(s, 64)
|
|
suite.NoError(err)
|
|
return num
|
|
})
|
|
case schemapb.DataType_VarChar:
|
|
compareArrays[string](t, rawVal, sf.GetStringData().GetData(), nil)
|
|
default:
|
|
continue
|
|
}
|
|
case schemapb.DataType_ArrayOfVector:
|
|
// Handle ArrayOfVector validation
|
|
vf, _ := val.(*schemapb.VectorField)
|
|
if vf.GetFloatVector() != nil {
|
|
// Parse expected vectors from raw string
|
|
var expectedVectors [][]float32
|
|
err := json.Unmarshal([]byte(rawVal), &expectedVectors)
|
|
suite.NoError(err)
|
|
|
|
// Flatten expected vectors
|
|
var expectedFlat []float32
|
|
for _, vec := range expectedVectors {
|
|
expectedFlat = append(expectedFlat, vec...)
|
|
}
|
|
|
|
suite.Equal(expectedFlat, vf.GetFloatVector().GetData())
|
|
}
|
|
case schemapb.DataType_Geometry:
|
|
geomT, err := wkt.Unmarshal(rawVal)
|
|
suite.NoError(err)
|
|
wkbValue, err := wkb.Marshal(geomT, wkb.NDR, wkbcommon.WKBOptionEmptyPointHandling(wkbcommon.EmptyPointHandlingNaN))
|
|
suite.NoError(err)
|
|
suite.Equal(wkbValue, val)
|
|
default:
|
|
continue
|
|
}
|
|
}
|
|
|
|
// Validate struct array sub-fields
|
|
for _, structArray := range schema.GetStructArrayFields() {
|
|
// Check if struct_array was provided in the test data
|
|
if structArrayRaw, ok := c.content[structArray.GetName()]; ok {
|
|
// Parse the struct array JSON
|
|
var structArrayData []map[string]any
|
|
dec := json.NewDecoder(strings.NewReader(structArrayRaw))
|
|
dec.UseNumber()
|
|
err := dec.Decode(&structArrayData)
|
|
suite.NoError(err)
|
|
|
|
// For each sub-field in the struct array
|
|
for _, subField := range structArray.GetFields() {
|
|
subFieldName := subField.GetName()
|
|
originalSubFieldName := subFieldName[len(structArray.GetName())+1 : len(subFieldName)-1]
|
|
val, ok := row[subField.GetFieldID()]
|
|
suite.True(ok, "Sub-field %s should exist in row", subFieldName)
|
|
|
|
// Validate based on sub-field type
|
|
switch subField.GetDataType() {
|
|
case schemapb.DataType_ArrayOfVector:
|
|
vf, ok := val.(*schemapb.VectorField)
|
|
suite.True(ok, "Sub-field %s should be a VectorField", subFieldName)
|
|
|
|
// Extract expected vectors from struct array data
|
|
var expectedVectors [][]any
|
|
for _, elem := range structArrayData {
|
|
if vec, ok := elem[originalSubFieldName].([]any); ok {
|
|
expectedVectors = append(expectedVectors, vec)
|
|
}
|
|
}
|
|
|
|
// Flatten and compare
|
|
var expectedFlat []float32
|
|
for _, vec := range expectedVectors {
|
|
var vecFlat []float32
|
|
for _, val := range vec {
|
|
jval := val.(json.Number)
|
|
fval, _ := jval.Float64()
|
|
vecFlat = append(vecFlat, float32(fval))
|
|
}
|
|
expectedFlat = append(expectedFlat, vecFlat...)
|
|
}
|
|
suite.Equal(expectedFlat, vf.GetFloatVector().GetData())
|
|
|
|
case schemapb.DataType_Array:
|
|
sf, ok := val.(*schemapb.ScalarField)
|
|
suite.True(ok, "Sub-field %s should be a ScalarField", subFieldName)
|
|
|
|
// Extract expected values from struct array data
|
|
var expectedValues []string
|
|
for _, elem := range structArrayData {
|
|
if v, ok := elem[originalSubFieldName].(string); ok {
|
|
expectedValues = append(expectedValues, v)
|
|
}
|
|
}
|
|
|
|
// Compare based on element type
|
|
if subField.GetElementType() == schemapb.DataType_VarChar {
|
|
suite.Equal(expectedValues, sf.GetStringData().GetData())
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
if suite.hasDynamic {
|
|
val, ok := row[9999]
|
|
suite.True(ok)
|
|
if !c.dontCheckDynamic {
|
|
var dynamic interface{}
|
|
err = json.Unmarshal(val.([]byte), &dynamic)
|
|
suite.NoError(err)
|
|
dy, ok := dynamic.(map[string]any)
|
|
suite.True(ok)
|
|
dummy, ok := dy["dynamic"]
|
|
suite.True(ok)
|
|
suite.Equal("dummy", dummy)
|
|
_, ok = dy["x"]
|
|
suite.True(ok)
|
|
}
|
|
} else {
|
|
_, ok := row[9999]
|
|
suite.False(ok)
|
|
}
|
|
}
|
|
|
|
func (suite *RowParserSuite) TestValid() {
|
|
suite.setSchema(true, true, true)
|
|
suite.runValid(&testCase{name: "A/N/D valid parse", content: suite.genAllTypesRowData("x", "2")})
|
|
suite.runValid(&testCase{name: "A/N/D no $meta", content: suite.genAllTypesRowData("int32", "2", "x", "$meta"), dontCheckDynamic: true})
|
|
suite.runValid(&testCase{name: "A/N/D no nullable field", content: suite.genAllTypesRowData("$meta", "{\"a\": 666}", "int32"), dontCheckDynamic: true})
|
|
suite.runValid(&testCase{name: "A/N/D nullable field bool is nil", content: suite.genAllTypesRowData("bool", suite.nullKey)})
|
|
suite.runValid(&testCase{name: "A/N/D nullable field int8 is nil", content: suite.genAllTypesRowData("int8", suite.nullKey)})
|
|
suite.runValid(&testCase{name: "A/N/D nullable field int16 is nil", content: suite.genAllTypesRowData("int16", suite.nullKey)})
|
|
suite.runValid(&testCase{name: "A/N/D nullable field int32 is nil", content: suite.genAllTypesRowData("int32", suite.nullKey)})
|
|
suite.runValid(&testCase{name: "A/N/D nullable field int64 is nil", content: suite.genAllTypesRowData("int64", suite.nullKey)})
|
|
suite.runValid(&testCase{name: "A/N/D nullable field float is nil", content: suite.genAllTypesRowData("float", suite.nullKey)})
|
|
suite.runValid(&testCase{name: "A/N/D nullable field double is nil", content: suite.genAllTypesRowData("double", suite.nullKey)})
|
|
suite.runValid(&testCase{name: "A/N/D nullable field varchar is nil", content: suite.genAllTypesRowData("varchar", suite.nullKey)})
|
|
suite.runValid(&testCase{name: "A/N/D nullable field json is nil", content: suite.genAllTypesRowData("json", suite.nullKey)})
|
|
suite.runValid(&testCase{name: "A/N/D nullable field array_int8 is nil", content: suite.genAllTypesRowData("array_int8", suite.nullKey)})
|
|
|
|
// Test struct array parsing
|
|
suite.runValid(&testCase{name: "A/N/D struct array valid", content: suite.genAllTypesRowData("x", "2")})
|
|
|
|
suite.nullKey = "ABCDEF"
|
|
suite.runValid(&testCase{name: "A/N/D null key 1", content: suite.genAllTypesRowData("int64", suite.nullKey)})
|
|
suite.runValid(&testCase{name: "A/N/D null key 2", content: suite.genAllTypesRowData("double", suite.nullKey)})
|
|
suite.runValid(&testCase{name: "A/N/D null key 3", content: suite.genAllTypesRowData("array_varchar", suite.nullKey)})
|
|
|
|
suite.setSchema(false, true, true)
|
|
suite.runValid(&testCase{name: "N/D valid parse", content: suite.genAllTypesRowData("x", "2")})
|
|
suite.runValid(&testCase{name: "N/D no nullable field", content: suite.genAllTypesRowData("x", "2", "int32")})
|
|
suite.runValid(&testCase{name: "N/D string JSON", content: suite.genAllTypesRowData("json", "{\"a\": 666}")})
|
|
suite.runValid(&testCase{name: "N/D no default value field", content: suite.genAllTypesRowData("x", "2", "int64")})
|
|
suite.runValid(&testCase{name: "N/D default value field is nil", content: suite.genAllTypesRowData("int64", suite.nullKey)})
|
|
|
|
suite.setSchema(false, false, true)
|
|
suite.runValid(&testCase{name: "D valid parse", content: suite.genAllTypesRowData("json", "{\"a\": 666}")})
|
|
|
|
suite.setSchema(false, false, false)
|
|
suite.runValid(&testCase{name: "_ valid parse", content: suite.genAllTypesRowData("x", "2")})
|
|
}
|
|
|
|
func (suite *RowParserSuite) runParseError(c *testCase) {
|
|
t := suite.T()
|
|
t.Helper()
|
|
t.Log(c.name)
|
|
|
|
schema := suite.createAllTypesSchema()
|
|
header, rowContent := suite.genRowContent(schema, c.content)
|
|
parser, err := NewRowParser(schema, header, suite.nullKey)
|
|
suite.NoError(err)
|
|
|
|
_, err = parser.Parse(rowContent)
|
|
suite.Error(err)
|
|
}
|
|
|
|
func (suite *RowParserSuite) TestParseError() {
|
|
suite.setSchema(true, true, false)
|
|
|
|
// parse an empty row
|
|
schema := suite.createAllTypesSchema()
|
|
content := suite.genAllTypesRowData("x", "2")
|
|
header, _ := suite.genRowContent(schema, content)
|
|
parser, err := NewRowParser(schema, header, suite.nullKey)
|
|
suite.NoError(err)
|
|
_, err = parser.Parse([]string{})
|
|
suite.Error(err)
|
|
|
|
// auto-generated pk no need to provide
|
|
content["id"] = "1"
|
|
header, _ = suite.genRowContent(schema, content)
|
|
parser, err = NewRowParser(schema, header, suite.nullKey)
|
|
suite.Error(err)
|
|
suite.Nil(parser)
|
|
|
|
// field value missed
|
|
content = suite.genAllTypesRowData("x", "2", "float_vector")
|
|
header, _ = suite.genRowContent(schema, content)
|
|
parser, err = NewRowParser(schema, header, suite.nullKey)
|
|
suite.Error(err)
|
|
suite.Nil(parser)
|
|
|
|
// function output no need provide
|
|
content = suite.genAllTypesRowData("x", "2")
|
|
content["function_sparse_vector"] = "{\"1\":0.5,\"10\":1.5,\"100\":2.5}"
|
|
header, _ = suite.genRowContent(schema, content)
|
|
parser, err = NewRowParser(schema, header, suite.nullKey)
|
|
suite.Error(err)
|
|
suite.Nil(parser)
|
|
|
|
genCases := func() []*testCase {
|
|
return []*testCase{
|
|
{name: "duplicate key for dynamic", content: suite.genAllTypesRowData("$meta", "{\"x\": 8}")},
|
|
{name: "illegal JSON content for dynamic", content: suite.genAllTypesRowData("$meta", "{*&%%&$*(&}")},
|
|
{name: "not a JSON for dynamic", content: suite.genAllTypesRowData("$meta", "][")},
|
|
{name: "exceeds max length varchar", content: suite.genAllTypesRowData("varchar", "aaaaaaaaaa")},
|
|
{name: "exceeds max capacity", content: suite.genAllTypesRowData("array_int8", "[1, 2, 3, 4, 5]")},
|
|
{name: "type error bool", content: suite.genAllTypesRowData("bool", "0.2")},
|
|
{name: "type error int8", content: suite.genAllTypesRowData("int8", "illegal")},
|
|
{name: "type error int16", content: suite.genAllTypesRowData("int16", "illegal")},
|
|
{name: "type error int32", content: suite.genAllTypesRowData("int32", "illegal")},
|
|
{name: "type error int64", content: suite.genAllTypesRowData("int64", "illegal")},
|
|
{name: "type error float", content: suite.genAllTypesRowData("float", "illegal")},
|
|
{name: "type error double", content: suite.genAllTypesRowData("double", "illegal")},
|
|
{name: "illegal json", content: suite.genAllTypesRowData("json", "][")},
|
|
{name: "not utf8 varchar", content: suite.genAllTypesRowData("varchar", string([]byte{0xC0, 0xAF}))},
|
|
{name: "type error array_int8", content: suite.genAllTypesRowData("array_int8", "illegal")},
|
|
{name: "element parse error array_bool", content: suite.genAllTypesRowData("array_bool", "[\"0.2\"]")},
|
|
{name: "element parse error array_int8", content: suite.genAllTypesRowData("array_int8", "[\"0.2\"]")},
|
|
{name: "element parse error array_int16", content: suite.genAllTypesRowData("array_int16", "[\"0.2\"]")},
|
|
{name: "element parse error array_int32", content: suite.genAllTypesRowData("array_int32", "[\"0.2\"]")},
|
|
{name: "element parse error array_int64", content: suite.genAllTypesRowData("array_int64", "[\"0.2\"]")},
|
|
{name: "element parse error array_float", content: suite.genAllTypesRowData("array_float", "[\"illegal\"]")},
|
|
{name: "element parse error array_double", content: suite.genAllTypesRowData("array_double", "[\"illegal\"]")},
|
|
{name: "exceeds max length array_varchar", content: suite.genAllTypesRowData("array_varchar", "[\"aaaaaaaaaa\"]")},
|
|
{name: "illegal JSON content", content: suite.genAllTypesRowData("json", "{*&%%&$*(&}")},
|
|
{name: "invalid float", content: suite.genAllTypesRowData("float", "Infinity")},
|
|
{name: "invalid double", content: suite.genAllTypesRowData("double", "NaN")},
|
|
{name: "element range error bin_vector", content: suite.genAllTypesRowData("bin_vector", "[256, 0]")},
|
|
{name: "type error float_vector", content: suite.genAllTypesRowData("float_vector", "illegal")},
|
|
{name: "type error bin_vector", content: suite.genAllTypesRowData("bin_vector", "illegal")},
|
|
{name: "type error f16_vector", content: suite.genAllTypesRowData("f16_vector", "illegal")},
|
|
{name: "type error bf16_vector", content: suite.genAllTypesRowData("bf16_vector", "illegal")},
|
|
{name: "type error int8_vector", content: suite.genAllTypesRowData("int8_vector", "illegal")},
|
|
{name: "type error sparse_vector", content: suite.genAllTypesRowData("sparse_vector", "illegal")},
|
|
{name: "dim error float_vector", content: suite.genAllTypesRowData("float_vector", "[0.1]")},
|
|
{name: "dim error bin_vector", content: suite.genAllTypesRowData("bin_vector", "[55]")},
|
|
{name: "dim error f16_vector", content: suite.genAllTypesRowData("f16_vector", "[0.2]")},
|
|
{name: "dim error bf16_vector", content: suite.genAllTypesRowData("bf16_vector", "[0.3]")},
|
|
{name: "dim error int8_vector", content: suite.genAllTypesRowData("int8_vector", "[1]")},
|
|
{name: "format error sparse_vector", content: suite.genAllTypesRowData("sparse_vector", "{\"indices\": 3}")},
|
|
}
|
|
}
|
|
|
|
suite.setSchema(true, true, true)
|
|
for _, c := range genCases() {
|
|
suite.runParseError(&testCase{name: "A/D " + c.name, content: c.content})
|
|
}
|
|
suite.setSchema(true, false, true)
|
|
for _, c := range genCases() {
|
|
suite.runParseError(&testCase{name: "A/D " + c.name, content: c.content})
|
|
}
|
|
suite.setSchema(false, true, false)
|
|
for _, c := range genCases() {
|
|
// dynamic is disabled, no need to check dynamic field
|
|
if strings.Contains(c.name, "dynamic") {
|
|
continue
|
|
}
|
|
suite.runParseError(&testCase{name: "_ " + c.name, content: c.content})
|
|
}
|
|
}
|
|
|
|
func TestCsvRowParser(t *testing.T) {
|
|
suite.Run(t, new(RowParserSuite))
|
|
}
|