10f822eb43
We make all MemTrackers shared, in order to show MemTracker real-time consumptions on the web.
As follows:
1. nearly all MemTracker raw ptr -> shared_ptr
2. Use CreateTracker() to create new MemTracker(in order to add itself to its parent)
3. RowBatch & MemPool still use raw ptrs of MemTracker, it's easy to ensure RowBatch & MemPool destructor exec
before MemTracker's destructor. So we don't change these code.
4. MemTracker can use RuntimeProfile's counter to calc consumption. So RuntimeProfile's counter need to be shared
too. We add a shared counter pool to store the shared counter, don't change other counters of RuntimeProfile.
Note that, this PR doesn't change the MemTracker tree structure. So there still have some orphan trackers, e.g. RowBlockV2's MemTracker. If you find some shared MemTrackers are little memory consumption & too time-consuming, you could make them be the orphan, then it's fine to use the raw ptr.
464 lines
16 KiB
C++
464 lines
16 KiB
C++
// Licensed to the Apache Software Foundation (ASF) 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,
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// software distributed under the License is distributed on an
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// "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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// KIND, either express or implied. See the License for the
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// specific language governing permissions and limitations
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// under the License.
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#include <time.h>
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#include <gtest/gtest.h>
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#include <google/protobuf/stubs/common.h>
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#include "olap/field.h"
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#include "olap/column_predicate.h"
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#include "olap/null_predicate.h"
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#include "runtime/mem_pool.h"
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#include "runtime/string_value.hpp"
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#include "runtime/vectorized_row_batch.h"
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#include "util/logging.h"
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namespace doris {
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namespace datetime {
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static uint24_t to_date_timestamp(const char* date_string) {
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tm time_tm;
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strptime(date_string, "%Y-%m-%d", &time_tm);
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int value = (time_tm.tm_year + 1900) * 16 * 32
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+ (time_tm.tm_mon + 1) * 32
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+ time_tm.tm_mday;
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return uint24_t(value);
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}
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static uint64_t to_datetime_timestamp(const std::string& value_string) {
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tm time_tm;
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strptime(value_string.c_str(), "%Y-%m-%d %H:%M:%S", &time_tm);
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uint64_t value = ((time_tm.tm_year + 1900) * 10000L
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+ (time_tm.tm_mon + 1) * 100L
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+ time_tm.tm_mday) * 1000000L
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+ time_tm.tm_hour * 10000L
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+ time_tm.tm_min * 100L
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+ time_tm.tm_sec;
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return value;
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}
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};
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class TestNullPredicate : public testing::Test {
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public:
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TestNullPredicate() : _vectorized_batch(NULL) {
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_mem_tracker.reset(new MemTracker(-1));
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_mem_pool.reset(new MemPool(_mem_tracker.get()));
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}
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~TestNullPredicate() {
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if (_vectorized_batch != NULL) {
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delete _vectorized_batch;
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}
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}
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void SetTabletSchema(std::string name,
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std::string type, std::string aggregation,
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uint32_t length, bool is_allow_null, bool is_key, TabletSchema* tablet_schema) {
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TabletSchemaPB tablet_schema_pb;
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static int id = 0;
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ColumnPB* column = tablet_schema_pb.add_column();;
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column->set_unique_id(++id);
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column->set_name(name);
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column->set_type(type);
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column->set_is_key(is_key);
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column->set_is_nullable(is_allow_null);
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column->set_length(length);
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column->set_aggregation(aggregation);
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column->set_precision(1000);
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column->set_frac(1000);
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column->set_is_bf_column(false);
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tablet_schema->init_from_pb(tablet_schema_pb);
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}
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void InitVectorizedBatch(const TabletSchema* tablet_schema,
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const std::vector<uint32_t>&ids,
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int size) {
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_vectorized_batch = new VectorizedRowBatch(tablet_schema, ids, size);
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_vectorized_batch->set_size(size);
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}
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std::shared_ptr<MemTracker> _mem_tracker;
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std::unique_ptr<MemPool> _mem_pool;
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VectorizedRowBatch* _vectorized_batch;
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};
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#define TEST_IN_LIST_PREDICATE(TYPE, TYPE_NAME, FIELD_TYPE) \
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TEST_F(TestNullPredicate, TYPE_NAME##_COLUMN) { \
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TabletSchema tablet_schema; \
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SetTabletSchema(std::string("TYPE_NAME##_COLUMN"), FIELD_TYPE, \
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"REPLACE", 1, false, true, &tablet_schema); \
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int size = 10; \
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std::vector<uint32_t> return_columns; \
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for (int i = 0; i < tablet_schema.num_columns(); ++i) { \
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return_columns.push_back(i); \
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} \
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InitVectorizedBatch(&tablet_schema, return_columns, size); \
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ColumnVector* col_vector = _vectorized_batch->column(0); \
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\
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/* for no nulls */ \
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col_vector->set_no_nulls(true); \
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TYPE* col_data = reinterpret_cast<TYPE*>(_mem_pool->allocate(size * sizeof(TYPE))); \
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col_vector->set_col_data(col_data); \
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for (int i = 0; i < size; ++i) { \
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*(col_data + i) = i; \
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} \
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\
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ColumnPredicate* pred = new NullPredicate(0, true); \
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pred->evaluate(_vectorized_batch); \
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ASSERT_EQ(_vectorized_batch->size(), 0); \
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\
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/* for has nulls */ \
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col_vector->set_no_nulls(false); \
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bool* is_null = reinterpret_cast<bool*>(_mem_pool->allocate(size)); \
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memset(is_null, 0, size); \
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col_vector->set_is_null(is_null); \
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for (int i = 0; i < size; ++i) { \
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if (i % 2 == 0) { \
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is_null[i] = true; \
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} else { \
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*(col_data + i) = i; \
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} \
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} \
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_vectorized_batch->set_size(size); \
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_vectorized_batch->set_selected_in_use(false); \
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pred->evaluate(_vectorized_batch); \
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ASSERT_EQ(_vectorized_batch->size(), 5); \
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delete pred; \
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} \
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TEST_IN_LIST_PREDICATE(int8_t, TINYINT, "TINYINT")
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TEST_IN_LIST_PREDICATE(int16_t, SMALLINT, "SMALLINT")
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TEST_IN_LIST_PREDICATE(int32_t, INT, "INT")
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TEST_IN_LIST_PREDICATE(int64_t, BIGINT, "BIGINT")
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TEST_IN_LIST_PREDICATE(int128_t, LARGEINT, "LARGEINT")
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TEST_F(TestNullPredicate, FLOAT_COLUMN) {
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TabletSchema tablet_schema;
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SetTabletSchema(std::string("FLOAT_COLUMN"), "FLOAT",
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"REPLACE", 1, false, true, &tablet_schema);
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int size = 10;
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std::vector<uint32_t> return_columns;
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for (int i = 0; i < tablet_schema.num_columns(); ++i) {
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return_columns.push_back(i);
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}
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InitVectorizedBatch(&tablet_schema, return_columns, size);
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ColumnVector* col_vector = _vectorized_batch->column(0);
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// for no nulls
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col_vector->set_no_nulls(true);
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float* col_data = reinterpret_cast<float*>(_mem_pool->allocate(size * sizeof(float)));
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col_vector->set_col_data(col_data);
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for (int i = 0; i < size; ++i) {
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*(col_data + i) = i + 0.1;
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}
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ColumnPredicate* pred = new NullPredicate(0, true);
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pred->evaluate(_vectorized_batch);
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ASSERT_EQ(_vectorized_batch->size(), 0);
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// for has nulls
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col_vector->set_no_nulls(false);
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bool* is_null = reinterpret_cast<bool*>(_mem_pool->allocate(size));
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memset(is_null, 0, size);
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col_vector->set_is_null(is_null);
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for (int i = 0; i < size; ++i) {
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if (i % 2 == 0) {
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is_null[i] = true;
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} else {
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*(col_data + i) = i + 0.1;
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}
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}
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_vectorized_batch->set_size(size);
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_vectorized_batch->set_selected_in_use(false);
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pred->evaluate(_vectorized_batch);
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ASSERT_EQ(_vectorized_batch->size(), 5);
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delete pred;
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}
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TEST_F(TestNullPredicate, DOUBLE_COLUMN) {
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TabletSchema tablet_schema;
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SetTabletSchema(std::string("DOUBLE_COLUMN"), "DOUBLE",
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"REPLACE", 1, false, true, &tablet_schema);
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int size = 10;
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std::vector<uint32_t> return_columns;
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for (int i = 0; i < tablet_schema.num_columns(); ++i) {
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return_columns.push_back(i);
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}
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InitVectorizedBatch(&tablet_schema, return_columns, size);
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ColumnVector* col_vector = _vectorized_batch->column(0);
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// for no nulls
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col_vector->set_no_nulls(true);
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double* col_data = reinterpret_cast<double*>(_mem_pool->allocate(size * sizeof(double)));
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col_vector->set_col_data(col_data);
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for (int i = 0; i < size; ++i) {
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*(col_data + i) = i + 0.1;
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}
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ColumnPredicate* pred = new NullPredicate(0, true);
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pred->evaluate(_vectorized_batch);
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ASSERT_EQ(_vectorized_batch->size(), 0);
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// for has nulls
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col_vector->set_no_nulls(false);
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bool* is_null = reinterpret_cast<bool*>(_mem_pool->allocate(size));
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memset(is_null, 0, size);
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col_vector->set_is_null(is_null);
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for (int i = 0; i < size; ++i) {
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if (i % 2 == 0) {
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is_null[i] = true;
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} else {
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*(col_data + i) = i + 0.1;
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}
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}
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_vectorized_batch->set_size(size);
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_vectorized_batch->set_selected_in_use(false);
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pred->evaluate(_vectorized_batch);
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ASSERT_EQ(_vectorized_batch->size(), 5);
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delete pred;
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}
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TEST_F(TestNullPredicate, DECIMAL_COLUMN) {
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TabletSchema tablet_schema;
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SetTabletSchema(std::string("DECIMAL_COLUMN"), "DECIMAL",
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"REPLACE", 1, false, true, &tablet_schema);
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int size = 10;
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std::vector<uint32_t> return_columns;
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for (int i = 0; i < tablet_schema.num_columns(); ++i) {
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return_columns.push_back(i);
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}
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InitVectorizedBatch(&tablet_schema, return_columns, size);
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ColumnVector* col_vector = _vectorized_batch->column(0);
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// for no nulls
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col_vector->set_no_nulls(true);
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decimal12_t* col_data = reinterpret_cast<decimal12_t*>(_mem_pool->allocate(size * sizeof(decimal12_t)));
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col_vector->set_col_data(col_data);
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for (int i = 0; i < size; ++i) {
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(*(col_data + i)).integer = i;
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(*(col_data + i)).fraction = i;
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}
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ColumnPredicate* pred = new NullPredicate(0, true);
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pred->evaluate(_vectorized_batch);
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ASSERT_EQ(_vectorized_batch->size(), 0);
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// for has nulls
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col_vector->set_no_nulls(false);
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bool* is_null = reinterpret_cast<bool*>(_mem_pool->allocate(size));
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memset(is_null, 0, size);
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col_vector->set_is_null(is_null);
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for (int i = 0; i < size; ++i) {
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if (i % 3 == 0) {
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is_null[i] = true;
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} else {
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(*(col_data + i)).integer = i;
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(*(col_data + i)).fraction = i;
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}
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}
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_vectorized_batch->set_size(size);
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_vectorized_batch->set_selected_in_use(false);
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pred->evaluate(_vectorized_batch);
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ASSERT_EQ(_vectorized_batch->size(), 4);
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delete pred;
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}
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TEST_F(TestNullPredicate, STRING_COLUMN) {
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TabletSchema tablet_schema;
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SetTabletSchema(std::string("STRING_COLUMN"), "VARCHAR",
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"REPLACE", 1, false, true, &tablet_schema);
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int size = 10;
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std::vector<uint32_t> return_columns;
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for (int i = 0; i < tablet_schema.num_columns(); ++i) {
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return_columns.push_back(i);
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}
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InitVectorizedBatch(&tablet_schema, return_columns, size);
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ColumnVector* col_vector = _vectorized_batch->column(0);
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// for no nulls
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col_vector->set_no_nulls(true);
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StringValue* col_data = reinterpret_cast<StringValue*>(_mem_pool->allocate(size * sizeof(StringValue)));
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col_vector->set_col_data(col_data);
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char* string_buffer = reinterpret_cast<char*>(_mem_pool->allocate(55));
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for (int i = 0; i < size; ++i) {
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for (int j = 0; j <= i; ++j) {
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string_buffer[j] = 'a' + i;
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}
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(*(col_data + i)).len = i + 1;
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(*(col_data + i)).ptr = string_buffer;
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string_buffer += i + 1;
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}
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ColumnPredicate* pred = new NullPredicate(0, true);
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ASSERT_EQ(_vectorized_batch->size(), 10);
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// for has nulls
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col_vector->set_no_nulls(false);
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bool* is_null = reinterpret_cast<bool*>(_mem_pool->allocate(size));
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memset(is_null, 0, size);
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col_vector->set_is_null(is_null);
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string_buffer = reinterpret_cast<char*>(_mem_pool->allocate(55));
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for (int i = 0; i < size; ++i) {
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if (i % 3 == 0) {
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is_null[i] = true;
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} else {
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for (int j = 0; j <= i; ++j) {
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string_buffer[j] = 'a' + i;
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}
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(*(col_data + i)).len = i + 1;
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(*(col_data + i)).ptr = string_buffer;
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}
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string_buffer += i + 1;
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}
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_vectorized_batch->set_size(size);
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_vectorized_batch->set_selected_in_use(false);
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pred->evaluate(_vectorized_batch);
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ASSERT_EQ(_vectorized_batch->size(), 4);
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delete pred;
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}
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TEST_F(TestNullPredicate, DATE_COLUMN) {
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TabletSchema tablet_schema;
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SetTabletSchema(std::string("DATE_COLUMN"), "DATE",
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"REPLACE", 1, false, true, &tablet_schema);
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int size = 6;
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std::vector<uint32_t> return_columns;
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for (int i = 0; i < tablet_schema.num_columns(); ++i) {
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return_columns.push_back(i);
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}
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InitVectorizedBatch(&tablet_schema, return_columns, size);
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ColumnVector* col_vector = _vectorized_batch->column(0);
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// for no nulls
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col_vector->set_no_nulls(true);
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uint24_t* col_data = reinterpret_cast<uint24_t*>(_mem_pool->allocate(size * sizeof(uint24_t)));
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col_vector->set_col_data(col_data);
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std::vector<std::string> date_array;
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date_array.push_back("2017-09-07");
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date_array.push_back("2017-09-08");
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date_array.push_back("2017-09-09");
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date_array.push_back("2017-09-10");
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date_array.push_back("2017-09-11");
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date_array.push_back("2017-09-12");
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for (int i = 0; i < size; ++i) {
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uint24_t timestamp = datetime::to_date_timestamp(date_array[i].c_str());
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*(col_data + i) = timestamp;
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}
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ColumnPredicate* pred = new NullPredicate(0, true);
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pred->evaluate(_vectorized_batch);
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ASSERT_EQ(_vectorized_batch->size(), 0);
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// for has nulls
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col_vector->set_no_nulls(false);
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bool* is_null = reinterpret_cast<bool*>(_mem_pool->allocate(size));
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memset(is_null, 0, size);
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col_vector->set_is_null(is_null);
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for (int i = 0; i < size; ++i) {
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if (i % 3 == 0) {
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is_null[i] = true;
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} else {
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uint24_t timestamp = datetime::to_date_timestamp(date_array[i].c_str());
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*(col_data + i) = timestamp;
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}
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}
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_vectorized_batch->set_size(size);
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_vectorized_batch->set_selected_in_use(false);
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pred->evaluate(_vectorized_batch);
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ASSERT_EQ(_vectorized_batch->size(), 2);
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delete pred;
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}
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TEST_F(TestNullPredicate, DATETIME_COLUMN) {
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TabletSchema tablet_schema;
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SetTabletSchema(std::string("DATETIME_COLUMN"), "DATETIME",
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"REPLACE", 1, false, true, &tablet_schema);
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int size = 6;
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std::vector<uint32_t> return_columns;
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for (int i = 0; i < tablet_schema.num_columns(); ++i) {
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return_columns.push_back(i);
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}
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InitVectorizedBatch(&tablet_schema, return_columns, size);
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ColumnVector* col_vector = _vectorized_batch->column(0);
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// for no nulls
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col_vector->set_no_nulls(true);
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uint64_t* col_data = reinterpret_cast<uint64_t*>(_mem_pool->allocate(size * sizeof(uint64_t)));
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col_vector->set_col_data(col_data);
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std::vector<std::string> date_array;
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date_array.push_back("2017-09-07 00:00:00");
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date_array.push_back("2017-09-08 00:01:00");
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date_array.push_back("2017-09-09 00:00:01");
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date_array.push_back("2017-09-10 01:00:00");
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date_array.push_back("2017-09-11 01:01:00");
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date_array.push_back("2017-09-12 01:01:01");
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for (int i = 0; i < size; ++i) {
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uint64_t timestamp = datetime::to_datetime_timestamp(date_array[i].c_str());
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*(col_data + i) = timestamp;
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}
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ColumnPredicate* pred = new NullPredicate(0, true);
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pred->evaluate(_vectorized_batch);
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ASSERT_EQ(_vectorized_batch->size(), 0);
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// for has nulls
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col_vector->set_no_nulls(false);
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bool* is_null = reinterpret_cast<bool*>(_mem_pool->allocate(size));
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memset(is_null, 0, size);
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col_vector->set_is_null(is_null);
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for (int i = 0; i < size; ++i) {
|
|
if (i % 3 == 0) {
|
|
is_null[i] = true;
|
|
} else {
|
|
uint64_t timestamp = datetime::to_datetime_timestamp(date_array[i].c_str());
|
|
*(col_data + i) = timestamp;
|
|
}
|
|
}
|
|
|
|
_vectorized_batch->set_size(size);
|
|
_vectorized_batch->set_selected_in_use(false);
|
|
pred->evaluate(_vectorized_batch);
|
|
ASSERT_EQ(_vectorized_batch->size(), 2);
|
|
delete pred;
|
|
}
|
|
|
|
} // namespace doris
|
|
|
|
int main(int argc, char** argv) {
|
|
std::string conffile = std::string(getenv("DORIS_HOME")) + "/conf/be.conf";
|
|
if (!doris::config::init(conffile.c_str(), false)) {
|
|
fprintf(stderr, "error read config file. \n");
|
|
return -1;
|
|
}
|
|
doris::init_glog("be-test");
|
|
int ret = doris::OLAP_SUCCESS;
|
|
testing::InitGoogleTest(&argc, argv);
|
|
doris::CpuInfo::init();
|
|
ret = RUN_ALL_TESTS();
|
|
google::protobuf::ShutdownProtobufLibrary();
|
|
return ret;
|
|
}
|