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// 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 <gtest/gtest.h>
#include "parquet/column_reader.h"
#include "parquet/column_writer.h"
#include "parquet/file/reader.h"
#include "parquet/file/writer.h"
#include "parquet/test-specialization.h"
#include "parquet/test-util.h"
#include "parquet/types.h"
#include "parquet/util/memory.h"
namespace parquet {
using schema::GroupNode;
using schema::NodePtr;
using schema::PrimitiveNode;
namespace test {
template <typename TestType>
class TestSerialize : public PrimitiveTypedTest<TestType> {
public:
typedef typename TestType::c_type T;
void SetUp() {
num_columns_ = 4;
this->SetUpSchema(Repetition::OPTIONAL, num_columns_);
}
protected:
int num_columns_;
void FileSerializeTest(Compression::type codec_type) {
std::shared_ptr<InMemoryOutputStream> sink(new InMemoryOutputStream());
auto gnode = std::static_pointer_cast<GroupNode>(this->node_);
WriterProperties::Builder prop_builder;
for (int i = 0; i < num_columns_; ++i) {
prop_builder.compression(this->schema_.Column(i)->name(), codec_type);
}
std::shared_ptr<WriterProperties> writer_properties = prop_builder.build();
auto file_writer = ParquetFileWriter::Open(sink, gnode, writer_properties);
auto row_group_writer = file_writer->AppendRowGroup(100);
this->GenerateData(100);
for (int i = 0; i < num_columns_; ++i) {
auto column_writer =
static_cast<TypedColumnWriter<TestType>*>(row_group_writer->NextColumn());
column_writer->WriteBatch(
100, this->def_levels_.data(), nullptr, this->values_ptr_);
column_writer->Close();
}
row_group_writer->Close();
file_writer->Close();
auto buffer = sink->GetBuffer();
auto source = std::make_shared<::arrow::io::BufferReader>(buffer);
auto file_reader = ParquetFileReader::Open(source);
ASSERT_EQ(num_columns_, file_reader->metadata()->num_columns());
ASSERT_EQ(1, file_reader->metadata()->num_row_groups());
ASSERT_EQ(100, file_reader->metadata()->num_rows());
auto rg_reader = file_reader->RowGroup(0);
ASSERT_EQ(num_columns_, rg_reader->metadata()->num_columns());
ASSERT_EQ(100, rg_reader->metadata()->num_rows());
// Check that the specified compression was actually used.
ASSERT_EQ(codec_type, rg_reader->metadata()->ColumnChunk(0)->compression());
int64_t values_read;
for (int i = 0; i < num_columns_; ++i) {
std::vector<int16_t> def_levels_out(100);
std::vector<int16_t> rep_levels_out(100);
auto col_reader =
std::static_pointer_cast<TypedColumnReader<TestType>>(rg_reader->Column(i));
this->SetupValuesOut(100);
col_reader->ReadBatch(100, def_levels_out.data(), rep_levels_out.data(),
this->values_out_ptr_, &values_read);
this->SyncValuesOut();
ASSERT_EQ(100, values_read);
ASSERT_EQ(this->values_, this->values_out_);
ASSERT_EQ(this->def_levels_, def_levels_out);
}
}
};
typedef ::testing::Types<Int32Type, Int64Type, Int96Type, FloatType, DoubleType,
BooleanType, ByteArrayType, FLBAType>
TestTypes;
TYPED_TEST_CASE(TestSerialize, TestTypes);
TYPED_TEST(TestSerialize, SmallFileUncompressed) {
this->FileSerializeTest(Compression::UNCOMPRESSED);
}
TYPED_TEST(TestSerialize, SmallFileSnappy) {
this->FileSerializeTest(Compression::SNAPPY);
}
TYPED_TEST(TestSerialize, SmallFileBrotli) {
this->FileSerializeTest(Compression::BROTLI);
}
TYPED_TEST(TestSerialize, SmallFileGzip) {
this->FileSerializeTest(Compression::GZIP);
}
} // namespace test
} // namespace parquet