Files
doris/be/test/util/counts_test.cpp
Hao Tan 66a7a4b294 [Feature] Support exact percentile aggregate function (#6410)
Support to calculate the exact percentile value array of numeric column `col` at the given percentage(s).
2021-08-18 15:56:06 +08:00

71 lines
2.1 KiB
C++

// Licensed to the Apache Software Foundation (ASF) under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use this file except in compliance
// with the License. You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing,
// software distributed under the License is distributed on an
// "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
// KIND, either express or implied. See the License for the
// specific language governing permissions and limitations
// under the License.
#include "util/counts.h"
#include <gtest/gtest.h>
#include "test_util/test_util.h"
namespace doris {
class TCountsTest : public testing::Test {};
TEST_F(TCountsTest, TotalTest) {
Counts counts;
// 1 1 1 2 5 7 7 9 9 19
// >>> import numpy as np
// >>> a = np.array([1,1,1,2,5,7,7,9,9,19])
// >>> p = np.percentile(a, 20)
counts.increment(1, 3);
counts.increment(5, 1);
counts.increment(2, 1);
counts.increment(9, 1);
counts.increment(9, 1);
counts.increment(19, 1);
counts.increment(7, 2);
doris_udf::DoubleVal result = counts.terminate(0.2);
EXPECT_EQ(1, result.val);
uint8_t* writer = new uint8_t[counts.serialized_size()];
uint8_t* type_reader = writer;
counts.serialize(writer);
Counts other;
other.unserialize(type_reader);
doris_udf::DoubleVal result1 = other.terminate(0.2);
EXPECT_EQ(result.val, result1.val);
Counts other1;
other1.increment(1, 1);
other1.increment(100, 3);
other1.increment(50, 3);
other1.increment(10, 1);
other1.increment(99, 2);
counts.merge(&other1);
// 1 1 1 1 2 5 7 7 9 9 10 19 50 50 50 99 99 100 100 100
EXPECT_EQ(counts.terminate(0.3).val, 6.4);
}
} // namespace doris
int main(int argc, char** argv) {
::testing::InitGoogleTest(&argc, argv);
return RUN_ALL_TESTS();
}