140 lines
		
	
	
		
			5.0 KiB
		
	
	
	
		
			C++
		
	
	
	
	
	
			
		
		
	
	
			140 lines
		
	
	
		
			5.0 KiB
		
	
	
	
		
			C++
		
	
	
	
	
	
| /**
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|  * Copyright (c) 2021 OceanBase
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|  * OceanBase CE is licensed under Mulan PubL v2.
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|  * You can use this software according to the terms and conditions of the Mulan PubL v2.
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|  * You may obtain a copy of Mulan PubL v2 at:
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|  *          http://license.coscl.org.cn/MulanPubL-2.0
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|  * THIS SOFTWARE IS PROVIDED ON AN "AS IS" BASIS, WITHOUT WARRANTIES OF ANY KIND,
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|  * EITHER EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO NON-INFRINGEMENT,
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|  * MERCHANTABILITY OR FIT FOR A PARTICULAR PURPOSE.
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|  * See the Mulan PubL v2 for more details.
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|  */
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| 
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| #include <iostream>
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| using namespace std;
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| 
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| #define USING_LOG_PREFIX SQL_EXE
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| #include <gtest/gtest.h>
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| 
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| #include "sql/ob_sql_init.h"
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| #include "sql/engine/px/ob_px_util.h"
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| 
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| using namespace oceanbase;
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| using namespace oceanbase::common;
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| using namespace oceanbase::sql;
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| using namespace oceanbase::storage;
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| using namespace oceanbase::share;
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| using namespace oceanbase::share::schema;
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| 
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| class ObRandomAffiTaskSplitTest : public ::testing::Test
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| {
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| public:
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| 
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|   const static int64_t TEST_PARTITION_COUNT = 5;
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|   const static int64_t TEST_SPLIT_TASK_COUNT = 8;
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| 
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|   ObRandomAffiTaskSplitTest() = default;
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|   virtual ~ObRandomAffiTaskSplitTest() = default;
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|   virtual void SetUp() {};
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|   virtual void TearDown() {};
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| 
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| private:
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|   // disallow copy
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|   ObRandomAffiTaskSplitTest(const ObRandomAffiTaskSplitTest &other);
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|   ObRandomAffiTaskSplitTest& operator=(const ObRandomAffiTaskSplitTest &other);
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| };
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| 
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| TEST_F(ObRandomAffiTaskSplitTest, split_task_test) {
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|   {
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|     int64_t parallel = 3;
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|     int64_t tenant_id = 1;
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|     ObPxTabletInfo px_part_info;
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|     ObPxAffinityByRandom affinitize_rule(true);
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|     for (int i = 0; i < 5; ++i) {
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|       px_part_info.physical_row_count_ = (10 - i) * 100;
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|       affinitize_rule.add_partition(i,i,parallel,tenant_id,px_part_info);
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|     }
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|     affinitize_rule.do_random(true, tenant_id);
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|     const common::ObIArray<ObPxAffinityByRandom::TabletHashValue>& result = affinitize_rule.get_result();
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|     for (int i = 0; i < result.count(); ++i) {
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|       LOG_INFO("result", K(result.at(i).tablet_id_), K(result.at(i).worker_id_), K(result.at(i).partition_info_.physical_row_count_));
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|     }
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|     ASSERT_EQ(1, result.at(0).worker_id_);
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|     ASSERT_EQ(0, result.at(1).worker_id_);
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|     ASSERT_EQ(2, result.at(2).worker_id_);
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|     ASSERT_EQ(2, result.at(3).worker_id_);
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|     ASSERT_EQ(1, result.at(4).worker_id_);
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|   }
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| 
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|   {
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|     int64_t parallel = 16;
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|     int64_t tenant_id = 1;
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|     ObPxTabletInfo px_part_info;
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|     ObPxAffinityByRandom affinitize_rule(true);
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| 
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|     px_part_info.physical_row_count_ = 3000;
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|     affinitize_rule.add_partition(0,0,parallel,tenant_id,px_part_info);
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|     px_part_info.physical_row_count_ = 1000;
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|     affinitize_rule.add_partition(1,1,parallel,tenant_id,px_part_info);
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|     px_part_info.physical_row_count_ = 2500;
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|     affinitize_rule.add_partition(2,2,parallel,tenant_id,px_part_info);
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|     px_part_info.physical_row_count_ = 3500;
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|     affinitize_rule.add_partition(3,3,parallel,tenant_id,px_part_info);
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|     px_part_info.physical_row_count_ = 2000;
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|     affinitize_rule.add_partition(4,4,parallel,tenant_id,px_part_info);
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| 
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|     affinitize_rule.do_random(true, tenant_id);
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| 
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|     const common::ObIArray<ObPxAffinityByRandom::TabletHashValue>& result = affinitize_rule.get_result();
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|     for (int i = 0; i < 5; ++i) {
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|       LOG_INFO("result", K(result.at(i).tablet_id_), K(result.at(i).worker_id_), K(result.at(i).partition_info_.physical_row_count_));
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|     }
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|     ASSERT_EQ(4, result.at(0).worker_id_);
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|     ASSERT_EQ(2, result.at(1).worker_id_);
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|     ASSERT_EQ(1, result.at(2).worker_id_);
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|     ASSERT_EQ(0, result.at(3).worker_id_);
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|     ASSERT_EQ(3, result.at(4).worker_id_);
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|   }
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| 
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|   {
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|     int64_t parallel = 3;
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|     int64_t tenant_id = 1;
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|     ObPxTabletInfo px_part_info;
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|     ObPxAffinityByRandom affinitize_rule(true);
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| 
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|     px_part_info.physical_row_count_ = 3000;
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|     affinitize_rule.add_partition(0,0,parallel,tenant_id,px_part_info);
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|     px_part_info.physical_row_count_ = 4000;
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|     affinitize_rule.add_partition(1,1,parallel,tenant_id,px_part_info);
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|     px_part_info.physical_row_count_ = 2500;
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|     affinitize_rule.add_partition(2,2,parallel,tenant_id,px_part_info);
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|     px_part_info.physical_row_count_ = 1500;
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|     affinitize_rule.add_partition(3,3,parallel,tenant_id,px_part_info);
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|     px_part_info.physical_row_count_ = 2000;
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|     affinitize_rule.add_partition(4,4,parallel,tenant_id,px_part_info);
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| 
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|     affinitize_rule.do_random(true, tenant_id);
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| 
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|     const common::ObIArray<ObPxAffinityByRandom::TabletHashValue>& result = affinitize_rule.get_result();
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|     for (int i = 0; i < 5; ++i) {
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|       LOG_INFO("result", K(result.at(i).tablet_id_), K(result.at(i).worker_id_), K(result.at(i).partition_info_.physical_row_count_));
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|     }
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| 
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|     ASSERT_EQ(1, result.at(0).worker_id_);
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|     ASSERT_EQ(0, result.at(1).worker_id_);
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|     ASSERT_EQ(2, result.at(2).worker_id_);
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|     ASSERT_EQ(2, result.at(3).worker_id_);
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|     ASSERT_EQ(1, result.at(4).worker_id_);
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|  }
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| 
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| }
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| 
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| int main(int argc, char **argv)
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| {
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|   OB_LOGGER.set_log_level("TRACE");
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|   //oceanbase::common::ObLogger::get_logger().set_log_level("TRACE");
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|   init_sql_factories();
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|   ::testing::InitGoogleTest(&argc,argv);
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|   return RUN_ALL_TESTS();
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| }
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