blob: 45261cf450d6ab633311b9949e77c434edce77a2 [file]
/*
* 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 a
*
* 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 "reader/tsfile_reader.h"
#include <gtest/gtest.h>
#include <sys/stat.h>
#include <map>
#include <random>
#include <unordered_map>
#include <vector>
#include "common/record.h"
#include "common/schema.h"
#include "common/tablet.h"
#include "file/tsfile_io_writer.h"
#include "file/write_file.h"
#include "reader/qds_without_timegenerator.h"
#include "writer/tsfile_writer.h"
using namespace storage;
using namespace common;
class TsFileReaderTest : public ::testing::Test {
protected:
void SetUp() override {
tsfile_writer_ = new TsFileWriter();
libtsfile_init();
file_name_ = std::string("tsfile_writer_test_") +
generate_random_string(10) + std::string(".tsfile");
remove(file_name_.c_str());
int flags = O_WRONLY | O_CREAT | O_TRUNC;
#ifdef _WIN32
flags |= O_BINARY;
#endif
mode_t mode = 0666;
EXPECT_EQ(tsfile_writer_->open(file_name_, flags, mode), common::E_OK);
}
void TearDown() override {
delete tsfile_writer_;
// remove(file_name_.c_str());
libtsfile_destroy();
}
std::string file_name_;
TsFileWriter* tsfile_writer_ = nullptr;
public:
static std::string generate_random_string(int length) {
std::mt19937 gen(static_cast<unsigned int>(
std::chrono::system_clock::now().time_since_epoch().count()));
std::uniform_int_distribution<> dis(0, 61);
const std::string chars =
"0123456789"
"abcdefghijklmnopqrstuvwxyz"
"ABCDEFGHIJKLMNOPQRSTUVWXYZ";
std::string random_string;
for (int i = 0; i < length; ++i) {
random_string += chars[dis(gen)];
}
return random_string;
}
static std::string field_to_string(storage::Field* value) {
if (value->type_ == common::TEXT) {
return std::string(value->value_.sval_);
} else {
std::stringstream ss;
switch (value->type_) {
case common::BOOLEAN:
ss << (value->value_.bval_ ? "true" : "false");
break;
case common::INT32:
ss << value->value_.ival_;
break;
case common::INT64:
ss << value->value_.lval_;
break;
case common::FLOAT:
ss << value->value_.fval_;
break;
case common::DOUBLE:
ss << value->value_.dval_;
break;
case common::NULL_TYPE:
ss << "NULL";
break;
default:
ASSERT(false);
break;
}
return ss.str();
}
}
};
TEST_F(TsFileReaderTest, ResultSetMetadata) {
std::string device_path = "device1";
std::string measurement_name = "temperature";
common::TSDataType data_type = common::TSDataType::INT32;
common::TSEncoding encoding = common::TSEncoding::PLAIN;
common::CompressionType compression_type =
common::CompressionType::UNCOMPRESSED;
tsfile_writer_->register_timeseries(
device_path, storage::MeasurementSchema(measurement_name, data_type,
encoding, compression_type));
for (int i = 0; i < 50000; ++i) {
TsRecord record(1622505600000 + i * 1000, device_path);
record.add_point(measurement_name, (int32_t)i);
ASSERT_EQ(tsfile_writer_->write_record(record), E_OK);
ASSERT_EQ(tsfile_writer_->flush(), E_OK);
}
ASSERT_EQ(tsfile_writer_->close(), E_OK);
std::vector<std::string> select_list = {"device1.temperature"};
storage::TsFileReader reader;
int ret = reader.open(file_name_);
ASSERT_EQ(ret, common::E_OK);
storage::ResultSet* tmp_qds = nullptr;
ret = reader.query(select_list, 1622505600000, 1622505600000 + 50000 * 1000,
tmp_qds);
auto* qds = (QDSWithoutTimeGenerator*)tmp_qds;
std::shared_ptr<ResultSetMetadata> result_set_metadata =
qds->get_metadata();
ASSERT_EQ(result_set_metadata->get_column_type(1), INT64);
ASSERT_EQ(result_set_metadata->get_column_name(1), "time");
ASSERT_EQ(result_set_metadata->get_column_type(2), data_type);
ASSERT_EQ(result_set_metadata->get_column_name(2),
device_path + "." + measurement_name);
reader.destroy_query_data_set(qds);
reader.close();
}
TEST_F(TsFileReaderTest, GetAllDevice) {
std::string measurement_name = "temperature";
common::TSDataType data_type = common::TSDataType::INT32;
common::TSEncoding encoding = common::TSEncoding::PLAIN;
common::CompressionType compression_type =
common::CompressionType::UNCOMPRESSED;
for (size_t i = 0; i < 1024; i++) {
tsfile_writer_->register_timeseries(
"device.ln" + std::to_string(i),
storage::MeasurementSchema(measurement_name, data_type, encoding,
compression_type));
}
for (size_t i = 0; i < 1024; i++) {
TsRecord record(1622505600000, "device.ln" + std::to_string(i));
record.add_point(measurement_name, (int32_t)0);
ASSERT_EQ(tsfile_writer_->write_record(record), E_OK);
}
ASSERT_EQ(tsfile_writer_->flush(), E_OK);
ASSERT_EQ(tsfile_writer_->close(), E_OK);
storage::TsFileReader reader;
int ret = reader.open(file_name_);
ASSERT_EQ(ret, common::E_OK);
auto devices = reader.get_all_devices("device");
ASSERT_EQ(devices.size(), 1024);
std::vector<std::shared_ptr<IDeviceID>> devices_name_expected;
for (size_t i = 0; i < 1024; i++) {
devices_name_expected.push_back(std::make_shared<StringArrayDeviceID>(
"device.ln" + std::to_string(i)));
}
std::sort(devices_name_expected.begin(), devices_name_expected.end(),
[](const std::shared_ptr<IDeviceID>& left_str,
const std::shared_ptr<IDeviceID>& right_str) {
return left_str->operator<(*right_str);
});
for (size_t i = 0; i < devices.size(); i++) {
ASSERT_TRUE(devices[i]->operator==(*devices_name_expected[i]));
}
}
TEST_F(TsFileReaderTest, GetTimeseriesSchema) {
std::vector<std::string> device_path = {"device.ln1", "device.ln2 "};
std::vector<std::string> measurement_name = {"temperature", "humidity"};
common::TSDataType data_type = common::TSDataType::INT32;
common::TSEncoding encoding = common::TSEncoding::PLAIN;
common::CompressionType compression_type =
common::CompressionType::UNCOMPRESSED;
tsfile_writer_->register_timeseries(
device_path[0],
storage::MeasurementSchema(measurement_name[0], data_type, encoding,
compression_type));
tsfile_writer_->register_timeseries(
device_path[1],
storage::MeasurementSchema(measurement_name[1], data_type, encoding,
compression_type));
TsRecord record_0(1622505600000, device_path[0]);
record_0.add_point(measurement_name[0], (int32_t)0);
TsRecord record_1(1622505600000, device_path[1]);
record_1.add_point(measurement_name[1], (int32_t)1);
ASSERT_EQ(tsfile_writer_->write_record(record_0), E_OK);
ASSERT_EQ(tsfile_writer_->write_record(record_1), E_OK);
ASSERT_EQ(tsfile_writer_->flush(), E_OK);
ASSERT_EQ(tsfile_writer_->close(), E_OK);
storage::TsFileReader reader;
int ret = reader.open(file_name_);
ASSERT_EQ(ret, common::E_OK);
std::vector<MeasurementSchema> measurement_schemas;
reader.get_timeseries_schema(
std::make_shared<StringArrayDeviceID>(device_path[0]),
measurement_schemas);
ASSERT_EQ(measurement_schemas[0].measurement_name_, measurement_name[0]);
ASSERT_EQ(measurement_schemas[0].data_type_, TSDataType::INT32);
reader.get_timeseries_schema(
std::make_shared<StringArrayDeviceID>(device_path[1]),
measurement_schemas);
ASSERT_EQ(measurement_schemas[1].measurement_name_, measurement_name[1]);
ASSERT_EQ(measurement_schemas[1].data_type_, TSDataType::INT32);
std::vector<std::shared_ptr<IDeviceID>> one_device = {
std::make_shared<StringArrayDeviceID>(device_path[0])};
auto one_meta = reader.get_timeseries_metadata(one_device);
ASSERT_EQ(one_meta.size(), 1u);
auto timeseries_list = one_meta.begin()->second;
ASSERT_EQ(timeseries_list.size(), 1u);
ASSERT_EQ(timeseries_list[0]->get_measurement_name().to_std_string(),
measurement_name[0]);
ASSERT_EQ(timeseries_list[0]->get_statistic()->start_time_, 1622505600000);
ASSERT_EQ(timeseries_list[0]->get_statistic()->end_time_, 1622505600000);
ASSERT_EQ(timeseries_list[0]->get_statistic()->count_, 1);
auto device_timeseries_map = reader.get_timeseries_metadata();
ASSERT_EQ(device_timeseries_map.size(), 2u);
auto device_timeseries_1 = device_timeseries_map.at(
std::make_shared<StringArrayDeviceID>(device_path[1]));
ASSERT_EQ(device_timeseries_1.size(), 1u);
ASSERT_EQ(device_timeseries_1[0]->get_measurement_name().to_std_string(),
measurement_name[1]);
ASSERT_EQ(device_timeseries_1[0]->get_statistic()->start_time_,
1622505600000);
ASSERT_EQ(device_timeseries_1[0]->get_statistic()->end_time_,
1622505600000);
ASSERT_EQ(device_timeseries_1[0]->get_statistic()->count_, 1);
reader.close();
}
TEST_F(TsFileReaderTest, GetTimeseriesMetadataTableModelTypeAndDeviceFilter) {
std::vector<MeasurementSchema*> measurement_schemas = {
new MeasurementSchema("deviceid1", TSDataType::STRING),
new MeasurementSchema("deviceid2", TSDataType::STRING),
new MeasurementSchema("temperature", TSDataType::FLOAT),
new MeasurementSchema("pressure", TSDataType::DOUBLE),
new MeasurementSchema("humidity", TSDataType::INT32)};
std::vector<ColumnCategory> column_categories = {
ColumnCategory::TAG, ColumnCategory::TAG, ColumnCategory::FIELD,
ColumnCategory::FIELD, ColumnCategory::FIELD};
auto table_schema = std::make_shared<TableSchema>(
"testtable", measurement_schemas, column_categories);
ASSERT_EQ(tsfile_writer_->register_table(table_schema), E_OK);
Tablet tablet(table_schema->get_table_name(),
table_schema->get_measurement_names(),
table_schema->get_data_types(),
table_schema->get_column_categories(), 10);
for (int row = 0; row < 5; row++) {
ASSERT_EQ(tablet.add_timestamp(row, row), E_OK);
ASSERT_EQ(tablet.add_value(row, "deviceid1", "device_a"), E_OK);
ASSERT_EQ(tablet.add_value(row, "deviceid2", "device_b"), E_OK);
ASSERT_EQ(tablet.add_value(row, "temperature", static_cast<float>(row)),
E_OK);
ASSERT_EQ(tablet.add_value(row, "pressure", static_cast<double>(row)),
E_OK);
ASSERT_EQ(tablet.add_value(row, "humidity", static_cast<int32_t>(row)),
E_OK);
}
for (int row = 5; row < 10; row++) {
ASSERT_EQ(tablet.add_timestamp(row, row), E_OK);
ASSERT_EQ(tablet.add_value(row, "deviceid1", "device_b"), E_OK);
ASSERT_EQ(tablet.add_value(row, "deviceid2", "device_a"), E_OK);
ASSERT_EQ(tablet.add_value(row, "temperature", static_cast<float>(row)),
E_OK);
ASSERT_EQ(tablet.add_value(row, "pressure", static_cast<double>(row)),
E_OK);
ASSERT_EQ(tablet.add_value(row, "humidity", static_cast<int32_t>(row)),
E_OK);
}
// Append one row whose middle TAG segment is null.
Tablet null_tag_tablet(table_schema->get_table_name(),
table_schema->get_measurement_names(),
table_schema->get_data_types(),
table_schema->get_column_categories(), 1);
int64_t null_tag_ts[1] = {10};
int32_t null_tag_humidity[1] = {10};
float null_tag_temperature[1] = {10.0F};
double null_tag_pressure[1] = {10.0};
// deviceid1 = null
int32_t id1_offsets[2] = {0, 0};
uint8_t id1_bitmap[1] = {0x01}; // row0 is null
// deviceid2 = "device_b"
int32_t id2_offsets[2] = {0, 8};
const char id2_data[] = "device_b";
ASSERT_EQ(null_tag_tablet.set_timestamps(null_tag_ts, 1), E_OK);
ASSERT_EQ(null_tag_tablet.set_column_string_values(0, id1_offsets, "",
id1_bitmap, 1),
E_OK);
ASSERT_EQ(null_tag_tablet.set_column_string_values(1, id2_offsets, id2_data,
nullptr, 1),
E_OK);
ASSERT_EQ(
null_tag_tablet.set_column_values(2, null_tag_temperature, nullptr, 1),
E_OK);
ASSERT_EQ(
null_tag_tablet.set_column_values(3, null_tag_pressure, nullptr, 1),
E_OK);
ASSERT_EQ(
null_tag_tablet.set_column_values(4, null_tag_humidity, nullptr, 1),
E_OK);
ASSERT_EQ(tsfile_writer_->write_table(tablet), E_OK);
ASSERT_EQ(tsfile_writer_->write_table(null_tag_tablet), E_OK);
ASSERT_EQ(tsfile_writer_->flush(), E_OK);
ASSERT_EQ(tsfile_writer_->close(), E_OK);
storage::TsFileReader reader;
ASSERT_EQ(reader.open(file_name_), common::E_OK);
auto all_meta = reader.get_timeseries_metadata();
ASSERT_EQ(all_meta.size(), 3u);
std::vector<std::string> selected_device_segments = {
"testtable", "device_a", "device_b"};
std::vector<std::shared_ptr<IDeviceID>> selected_devices = {
std::make_shared<StringArrayDeviceID>(selected_device_segments)};
auto selected_meta = reader.get_timeseries_metadata(selected_devices);
ASSERT_EQ(selected_meta.size(), 1u);
auto selected_list = selected_meta.begin()->second;
std::unordered_map<std::string, TSDataType> type_by_measurement;
for (const auto& index : selected_list) {
type_by_measurement[index->get_measurement_name().to_std_string()] =
index->get_data_type();
}
ASSERT_EQ(type_by_measurement.at("temperature"), TSDataType::FLOAT);
ASSERT_EQ(type_by_measurement.at("pressure"), TSDataType::DOUBLE);
ASSERT_EQ(type_by_measurement.at("humidity"), TSDataType::INT32);
// Query metadata for the device with null middle TAG segment.
std::vector<std::string*> null_seg_device = {
new std::string("testtable"), nullptr, new std::string("device_b")};
std::vector<std::shared_ptr<IDeviceID>> null_seg_devices = {
std::make_shared<StringArrayDeviceID>(null_seg_device)};
for (auto* seg : null_seg_device) {
if (seg != nullptr) {
delete seg;
}
}
auto null_seg_meta = reader.get_timeseries_metadata(null_seg_devices);
ASSERT_EQ(null_seg_meta.size(), 1u);
auto null_seg_list = null_seg_meta.begin()->second;
ASSERT_EQ(null_seg_list.size(), 3u);
std::unordered_map<std::string, TSDataType> null_seg_type_by_measurement;
for (const auto& index : null_seg_list) {
null_seg_type_by_measurement[index->get_measurement_name()
.to_std_string()] =
index->get_data_type();
}
ASSERT_EQ(null_seg_type_by_measurement.at("temperature"),
TSDataType::FLOAT);
ASSERT_EQ(null_seg_type_by_measurement.at("pressure"), TSDataType::DOUBLE);
ASSERT_EQ(null_seg_type_by_measurement.at("humidity"), TSDataType::INT32);
reader.close();
}
static const int64_t kLargeFileNumRecords = 300000000;
static const int64_t kLargeFileFlushBatch = 100000;
TEST_F(TsFileReaderTest,
DISABLED_LargeFileNoEncodingNoCompression_WriteAndRead) {
std::string device_path = "device1";
std::string measurement_name = "temperature";
common::TSDataType data_type = common::TSDataType::INT64;
common::TSEncoding encoding = common::TSEncoding::PLAIN;
common::CompressionType compression_type =
common::CompressionType::UNCOMPRESSED;
tsfile_writer_->register_timeseries(
device_path, storage::MeasurementSchema(measurement_name, data_type,
encoding, compression_type));
const int64_t start_time = 1622505600000LL;
for (int64_t i = 0; i < kLargeFileNumRecords; ++i) {
TsRecord record(start_time + i * 1000, device_path);
record.add_point(measurement_name, static_cast<int64_t>(i));
ASSERT_EQ(tsfile_writer_->write_record(record), E_OK);
if ((i + 1) % kLargeFileFlushBatch == 0) {
ASSERT_EQ(tsfile_writer_->flush(), E_OK);
}
}
ASSERT_EQ(tsfile_writer_->flush(), E_OK);
ASSERT_EQ(tsfile_writer_->close(), E_OK);
std::vector<std::string> select_list = {"device1.temperature"};
const int64_t end_time = start_time + (kLargeFileNumRecords - 1) * 1000 + 1;
storage::TsFileReader reader;
int ret = reader.open(file_name_);
ASSERT_EQ(ret, common::E_OK);
storage::ResultSet* tmp_qds = nullptr;
ret = reader.query(select_list, start_time, end_time, tmp_qds);
ASSERT_EQ(ret, common::E_OK);
ASSERT_NE(tmp_qds, nullptr);
auto* qds = static_cast<QDSWithoutTimeGenerator*>(tmp_qds);
std::shared_ptr<ResultSetMetadata> meta = qds->get_metadata();
ASSERT_NE(meta, nullptr);
ASSERT_EQ(meta->get_column_type(1), INT64);
ASSERT_EQ(meta->get_column_type(2), INT64);
int64_t row_count = 0;
bool has_next = false;
while (true) {
ret = qds->next(has_next);
ASSERT_EQ(ret, common::E_OK);
if (!has_next) break;
row_count++;
}
ASSERT_EQ(row_count, kLargeFileNumRecords);
reader.destroy_query_data_set(qds);
reader.close();
}