2020-11-24 21:28:38 +08:00
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// Copyright (C) 2019-2020 Zilliz. All rights reserved.
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//
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// Licensed under the Apache License, Version 2.0 (the "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 distributed under the License
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// is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express
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// or implied. See the License for the specific language governing permissions and limitations under the License
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2020-11-16 10:55:49 +08:00
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#include <gtest/gtest.h>
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2020-11-16 15:41:56 +08:00
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#include "query/deprecated/Parser.h"
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2020-11-16 10:55:49 +08:00
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#include "query/Expr.h"
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#include "query/PlanNode.h"
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#include "query/generated/ExprVisitor.h"
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#include "query/generated/PlanNodeVisitor.h"
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#include "test_utils/DataGen.h"
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#include "query/generated/ShowPlanNodeVisitor.h"
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2020-11-21 11:39:23 +08:00
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#include "query/generated/ExecExprVisitor.h"
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2020-11-17 20:00:23 +08:00
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#include "query/Plan.h"
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2020-11-21 11:39:23 +08:00
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#include "utils/tools.h"
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#include <regex>
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#include "segcore/SegmentSmallIndex.h"
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2020-11-16 15:41:56 +08:00
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using namespace milvus;
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2020-11-16 10:55:49 +08:00
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TEST(Expr, Naive) {
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SUCCEED();
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using namespace milvus::wtf;
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std::string dsl_string = R"(
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{
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"bool": {
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"must": [
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{
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"term": {
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"A": [
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1,
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2,
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5
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]
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}
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},
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{
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"range": {
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"B": {
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"GT": 1,
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"LT": 100
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}
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}
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},
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{
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"vector": {
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"Vec": {
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"metric_type": "L2",
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"params": {
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"nprobe": 10
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},
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"query": "$0",
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"topk": 10
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}
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}
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}
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]
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}
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})";
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}
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2020-11-17 20:00:23 +08:00
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TEST(Expr, Range) {
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SUCCEED();
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using namespace milvus;
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using namespace milvus::query;
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using namespace milvus::segcore;
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std::string dsl_string = R"(
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{
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"bool": {
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"must": [
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{
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"range": {
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"age": {
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"GT": 1,
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"LT": 100
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}
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}
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},
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{
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"vector": {
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"fakevec": {
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"metric_type": "L2",
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"params": {
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"nprobe": 10
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},
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"query": "$0",
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"topk": 10
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}
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}
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}
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]
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}
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})";
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auto schema = std::make_shared<Schema>();
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2020-12-05 06:46:01 +08:00
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schema->AddField("fakevec", DataType::VECTOR_FLOAT, 16, MetricType::METRIC_L2);
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schema->AddField("age", DataType::INT32);
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auto plan = CreatePlan(*schema, dsl_string);
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ShowPlanNodeVisitor shower;
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Assert(plan->tag2field_.at("$0") == "fakevec");
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auto out = shower.call_child(*plan->plan_node_);
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std::cout << out.dump(4);
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}
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TEST(Expr, RangeBinary) {
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SUCCEED();
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using namespace milvus;
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using namespace milvus::query;
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using namespace milvus::segcore;
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std::string dsl_string = R"(
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{
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"bool": {
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"must": [
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{
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"range": {
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"age": {
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"GT": 1,
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"LT": 100
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}
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}
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},
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{
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"vector": {
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"fakevec": {
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"metric_type": "Jaccard",
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"params": {
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"nprobe": 10
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},
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"query": "$0",
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"topk": 10
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}
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}
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}
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]
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}
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})";
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auto schema = std::make_shared<Schema>();
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schema->AddField("fakevec", DataType::VECTOR_BINARY, 512, MetricType::METRIC_Jaccard);
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2020-11-17 20:00:23 +08:00
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schema->AddField("age", DataType::INT32);
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auto plan = CreatePlan(*schema, dsl_string);
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ShowPlanNodeVisitor shower;
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Assert(plan->tag2field_.at("$0") == "fakevec");
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auto out = shower.call_child(*plan->plan_node_);
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std::cout << out.dump(4);
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}
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2020-12-03 19:00:11 +08:00
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TEST(Expr, InvalidRange) {
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SUCCEED();
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using namespace milvus;
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using namespace milvus::query;
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using namespace milvus::segcore;
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std::string dsl_string = R"(
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{
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"bool": {
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"must": [
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{
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"range": {
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"age": {
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"GT": 1,
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"LT": "100"
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}
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}
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},
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{
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"vector": {
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"fakevec": {
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"metric_type": "L2",
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"params": {
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"nprobe": 10
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},
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"query": "$0",
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"topk": 10
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}
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}
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}
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]
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}
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})";
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auto schema = std::make_shared<Schema>();
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2020-12-05 06:46:01 +08:00
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schema->AddField("fakevec", DataType::VECTOR_FLOAT, 16, MetricType::METRIC_L2);
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2020-12-03 19:00:11 +08:00
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schema->AddField("age", DataType::INT32);
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ASSERT_ANY_THROW(CreatePlan(*schema, dsl_string));
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}
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TEST(Expr, InvalidDSL) {
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SUCCEED();
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using namespace milvus;
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using namespace milvus::query;
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using namespace milvus::segcore;
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std::string dsl_string = R"(
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{
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"float": {
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"must": [
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{
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"range": {
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"age": {
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"GT": 1,
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"LT": 100
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}
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}
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},
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{
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"vector": {
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"fakevec": {
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"metric_type": "L2",
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"params": {
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"nprobe": 10
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},
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"query": "$0",
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"topk": 10
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}
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}
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}
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]
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}
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})";
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auto schema = std::make_shared<Schema>();
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2020-12-05 06:46:01 +08:00
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schema->AddField("fakevec", DataType::VECTOR_FLOAT, 16, MetricType::METRIC_L2);
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2020-12-03 19:00:11 +08:00
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schema->AddField("age", DataType::INT32);
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ASSERT_ANY_THROW(CreatePlan(*schema, dsl_string));
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}
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2020-11-16 10:55:49 +08:00
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TEST(Expr, ShowExecutor) {
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using namespace milvus::query;
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using namespace milvus::segcore;
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auto node = std::make_unique<FloatVectorANNS>();
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auto schema = std::make_shared<Schema>();
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2020-12-05 06:46:01 +08:00
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schema->AddField("fakevec", DataType::VECTOR_FLOAT, 16, MetricType::METRIC_L2);
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2020-11-17 20:00:23 +08:00
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int64_t num_queries = 100L;
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2020-11-16 10:55:49 +08:00
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auto raw_data = DataGen(schema, num_queries);
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auto& info = node->query_info_;
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info.metric_type_ = "L2";
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info.topK_ = 20;
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info.field_id_ = "fakevec";
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node->predicate_ = std::nullopt;
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ShowPlanNodeVisitor show_visitor;
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PlanNodePtr base(node.release());
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auto res = show_visitor.call_child(*base);
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auto dup = res;
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dup["data"] = "...collased...";
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std::cout << dup.dump(4);
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2020-11-17 20:00:23 +08:00
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}
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2020-11-21 11:39:23 +08:00
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TEST(Expr, TestRange) {
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using namespace milvus::query;
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using namespace milvus::segcore;
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std::vector<std::tuple<std::string, std::function<bool(int)>>> testcases = {
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{R"("GT": 2000, "LT": 3000)", [](int v) { return 2000 < v && v < 3000; }},
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{R"("GE": 2000, "LT": 3000)", [](int v) { return 2000 <= v && v < 3000; }},
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{R"("GT": 2000, "LE": 3000)", [](int v) { return 2000 < v && v <= 3000; }},
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{R"("GE": 2000, "LE": 3000)", [](int v) { return 2000 <= v && v <= 3000; }},
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{R"("GE": 2000)", [](int v) { return v >= 2000; }},
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{R"("GT": 2000)", [](int v) { return v > 2000; }},
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{R"("LE": 2000)", [](int v) { return v <= 2000; }},
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{R"("LT": 2000)", [](int v) { return v < 2000; }},
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{R"("EQ": 2000)", [](int v) { return v == 2000; }},
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{R"("NE": 2000)", [](int v) { return v != 2000; }},
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};
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std::string dsl_string_tmp = R"(
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{
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"bool": {
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"must": [
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{
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"range": {
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"age": {
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@@@@
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}
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}
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},
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{
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"vector": {
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"fakevec": {
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"metric_type": "L2",
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"params": {
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"nprobe": 10
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},
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"query": "$0",
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"topk": 10
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}
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}
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}
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]
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}
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})";
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auto schema = std::make_shared<Schema>();
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2020-12-05 06:46:01 +08:00
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schema->AddField("fakevec", DataType::VECTOR_FLOAT, 16, MetricType::METRIC_L2);
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2020-11-21 11:39:23 +08:00
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schema->AddField("age", DataType::INT32);
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auto seg = CreateSegment(schema);
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int N = 10000;
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std::vector<int> age_col;
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int num_iters = 100;
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for (int iter = 0; iter < num_iters; ++iter) {
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auto raw_data = DataGen(schema, N, iter);
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auto new_age_col = raw_data.get_col<int>(1);
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age_col.insert(age_col.end(), new_age_col.begin(), new_age_col.end());
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seg->PreInsert(N);
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seg->Insert(iter * N, N, raw_data.row_ids_.data(), raw_data.timestamps_.data(), raw_data.raw_);
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}
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auto seg_promote = dynamic_cast<SegmentSmallIndex*>(seg.get());
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ExecExprVisitor visitor(*seg_promote);
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2020-11-21 15:56:13 +08:00
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for (auto [clause, ref_func] : testcases) {
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2020-11-21 11:39:23 +08:00
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auto loc = dsl_string_tmp.find("@@@@");
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auto dsl_string = dsl_string_tmp;
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dsl_string.replace(loc, 4, clause);
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auto plan = CreatePlan(*schema, dsl_string);
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auto final = visitor.call_child(*plan->plan_node_->predicate_.value());
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EXPECT_EQ(final.size(), upper_div(N * num_iters, DefaultElementPerChunk));
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for (int i = 0; i < N * num_iters; ++i) {
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auto vec_id = i / DefaultElementPerChunk;
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auto offset = i % DefaultElementPerChunk;
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auto ans = final[vec_id][offset];
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auto val = age_col[i];
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2020-12-05 09:51:27 +08:00
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auto ref = ref_func(val);
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ASSERT_EQ(ans, ref) << clause << "@" << i << "!!" << val;
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}
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}
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}
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TEST(Expr, TestTerm) {
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using namespace milvus::query;
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using namespace milvus::segcore;
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auto vec_2k_3k = [] {
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std::string buf = "[";
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for (int i = 2000; i < 3000 - 1; ++i) {
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buf += std::to_string(i) + ", ";
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}
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buf += std::to_string(2999) + "]";
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return buf;
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}();
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std::vector<std::tuple<std::string, std::function<bool(int)>>> testcases = {
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{R"([2000, 3000])", [](int v) { return v == 2000 || v == 3000; }},
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{R"([2000])", [](int v) { return v == 2000; }},
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{R"([3000])", [](int v) { return v == 3000; }},
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{vec_2k_3k, [](int v) { return 2000 <= v && v < 3000; }},
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};
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std::string dsl_string_tmp = R"(
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{
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"bool": {
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"must": [
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{
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"term": {
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"age": @@@@
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}
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},
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{
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"vector": {
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"fakevec": {
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"metric_type": "L2",
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"params": {
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"nprobe": 10
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},
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"query": "$0",
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"topk": 10
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}
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}
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}
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]
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}
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|
|
|
})";
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|
|
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auto schema = std::make_shared<Schema>();
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|
|
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schema->AddField("fakevec", DataType::VECTOR_FLOAT, 16, MetricType::METRIC_L2);
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|
|
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schema->AddField("age", DataType::INT32);
|
|
|
|
|
|
|
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auto seg = CreateSegment(schema);
|
|
|
|
int N = 10000;
|
|
|
|
std::vector<int> age_col;
|
|
|
|
int num_iters = 100;
|
|
|
|
for (int iter = 0; iter < num_iters; ++iter) {
|
|
|
|
auto raw_data = DataGen(schema, N, iter);
|
|
|
|
auto new_age_col = raw_data.get_col<int>(1);
|
|
|
|
age_col.insert(age_col.end(), new_age_col.begin(), new_age_col.end());
|
|
|
|
seg->PreInsert(N);
|
|
|
|
seg->Insert(iter * N, N, raw_data.row_ids_.data(), raw_data.timestamps_.data(), raw_data.raw_);
|
|
|
|
}
|
|
|
|
|
|
|
|
auto seg_promote = dynamic_cast<SegmentSmallIndex*>(seg.get());
|
|
|
|
ExecExprVisitor visitor(*seg_promote);
|
|
|
|
for (auto [clause, ref_func] : testcases) {
|
|
|
|
auto loc = dsl_string_tmp.find("@@@@");
|
|
|
|
auto dsl_string = dsl_string_tmp;
|
|
|
|
dsl_string.replace(loc, 4, clause);
|
|
|
|
auto plan = CreatePlan(*schema, dsl_string);
|
|
|
|
auto final = visitor.call_child(*plan->plan_node_->predicate_.value());
|
|
|
|
EXPECT_EQ(final.size(), upper_div(N * num_iters, DefaultElementPerChunk));
|
|
|
|
|
|
|
|
for (int i = 0; i < N * num_iters; ++i) {
|
|
|
|
auto vec_id = i / DefaultElementPerChunk;
|
|
|
|
auto offset = i % DefaultElementPerChunk;
|
|
|
|
auto ans = final[vec_id][offset];
|
|
|
|
|
|
|
|
auto val = age_col[i];
|
|
|
|
auto ref = ref_func(val);
|
2020-11-21 15:56:13 +08:00
|
|
|
ASSERT_EQ(ans, ref) << clause << "@" << i << "!!" << val;
|
2020-11-21 11:39:23 +08:00
|
|
|
}
|
|
|
|
}
|
|
|
|
}
|