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847 lines (724 loc) · 34.2 KB
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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 "parquet/metadata.h"
#include <gtest/gtest.h>
#include "arrow/util/key_value_metadata.h"
#include "parquet/file_reader.h"
#include "parquet/file_writer.h"
#include "parquet/schema.h"
#include "parquet/statistics.h"
#include "parquet/test_util.h"
#include "parquet/thrift_internal.h"
#include "parquet/types.h"
namespace parquet {
namespace metadata {
// Helper function for generating table metadata
std::unique_ptr<parquet::FileMetaData> GenerateTableMetaData(
const parquet::SchemaDescriptor& schema,
const std::shared_ptr<WriterProperties>& props, const int64_t& nrows,
EncodedStatistics stats_int, EncodedStatistics stats_float) {
auto f_builder = FileMetaDataBuilder::Make(&schema, props);
auto rg1_builder = f_builder->AppendRowGroup();
// Write the metadata
// rowgroup1 metadata
auto col1_builder = rg1_builder->NextColumnChunk();
auto col2_builder = rg1_builder->NextColumnChunk();
// column metadata
std::map<Encoding::type, int32_t> dict_encoding_stats({{Encoding::RLE_DICTIONARY, 1}});
std::map<Encoding::type, int32_t> data_encoding_stats(
{{Encoding::PLAIN, 1}, {Encoding::RLE, 1}});
stats_int.set_is_signed(true);
col1_builder->SetStatistics(stats_int);
stats_float.set_is_signed(true);
col2_builder->SetStatistics(stats_float);
col1_builder->Finish(nrows / 2, 4, 0, 10, 512, 600, true, false, dict_encoding_stats,
data_encoding_stats);
col2_builder->Finish(nrows / 2, 24, 0, 30, 512, 600, true, false, dict_encoding_stats,
data_encoding_stats);
rg1_builder->set_num_rows(nrows / 2);
rg1_builder->Finish(1024);
// rowgroup2 metadata
auto rg2_builder = f_builder->AppendRowGroup();
col1_builder = rg2_builder->NextColumnChunk();
col2_builder = rg2_builder->NextColumnChunk();
// column metadata
col1_builder->SetStatistics(stats_int);
col2_builder->SetStatistics(stats_float);
col1_builder->Finish(nrows / 2, /*dictionary_page_offset=*/0, 0, 10, 512, 600,
/*has_dictionary=*/false, false, dict_encoding_stats,
data_encoding_stats);
col2_builder->Finish(nrows / 2, 16, 0, 26, 512, 600, true, false, dict_encoding_stats,
data_encoding_stats);
rg2_builder->set_num_rows(nrows / 2);
rg2_builder->Finish(1024);
// Return the metadata accessor
return f_builder->Finish();
}
void AssertEncodings(const ColumnChunkMetaData& data,
const std::set<parquet::Encoding::type>& expected) {
std::set<parquet::Encoding::type> encodings(data.encodings().begin(),
data.encodings().end());
ASSERT_EQ(encodings, expected);
}
TEST(Metadata, TestBuildAccess) {
parquet::schema::NodeVector fields;
parquet::schema::NodePtr root;
parquet::SchemaDescriptor schema;
WriterProperties::Builder prop_builder;
std::shared_ptr<WriterProperties> props =
prop_builder.version(ParquetVersion::PARQUET_2_6)->build();
fields.push_back(parquet::schema::Int32("int_col", Repetition::REQUIRED));
fields.push_back(parquet::schema::Float("float_col", Repetition::REQUIRED));
root = parquet::schema::GroupNode::Make("schema", Repetition::REPEATED, fields);
schema.Init(root);
int64_t nrows = 1000;
int32_t int_min = 100, int_max = 200;
EncodedStatistics stats_int;
stats_int.set_null_count(0)
.set_distinct_count(nrows)
.set_min(std::string(reinterpret_cast<const char*>(&int_min), 4))
.set_max(std::string(reinterpret_cast<const char*>(&int_max), 4));
EncodedStatistics stats_float;
float float_min = 100.100f, float_max = 200.200f;
stats_float.set_null_count(0)
.set_distinct_count(nrows)
.set_min(std::string(reinterpret_cast<const char*>(&float_min), 4))
.set_max(std::string(reinterpret_cast<const char*>(&float_max), 4));
// Generate the metadata
auto f_accessor = GenerateTableMetaData(schema, props, nrows, stats_int, stats_float);
std::string f_accessor_serialized_metadata = f_accessor->SerializeToString();
uint32_t expected_len = static_cast<uint32_t>(f_accessor_serialized_metadata.length());
// decoded_len is an in-out parameter
uint32_t decoded_len = expected_len;
auto f_accessor_copy =
FileMetaData::Make(f_accessor_serialized_metadata.data(), &decoded_len);
// Check that all of the serialized data is consumed
ASSERT_EQ(expected_len, decoded_len);
// Run this block twice, one for f_accessor, one for f_accessor_copy.
// To make sure SerializedMetadata was deserialized correctly.
std::vector<FileMetaData*> f_accessors = {f_accessor.get(), f_accessor_copy.get()};
for (int loop_index = 0; loop_index < 2; loop_index++) {
// file metadata
ASSERT_EQ(nrows, f_accessors[loop_index]->num_rows());
ASSERT_LE(0, static_cast<int>(f_accessors[loop_index]->size()));
ASSERT_EQ(2, f_accessors[loop_index]->num_row_groups());
ASSERT_EQ(ParquetVersion::PARQUET_2_6, f_accessors[loop_index]->version());
ASSERT_EQ(DEFAULT_CREATED_BY, f_accessors[loop_index]->created_by());
ASSERT_EQ(3, f_accessors[loop_index]->num_schema_elements());
// row group1 metadata
auto rg1_accessor = f_accessors[loop_index]->RowGroup(0);
ASSERT_EQ(2, rg1_accessor->num_columns());
ASSERT_EQ(nrows / 2, rg1_accessor->num_rows());
ASSERT_EQ(1024, rg1_accessor->total_byte_size());
ASSERT_EQ(1024, rg1_accessor->total_compressed_size());
EXPECT_EQ(rg1_accessor->file_offset(),
rg1_accessor->ColumnChunk(0)->dictionary_page_offset());
auto rg1_column1 = rg1_accessor->ColumnChunk(0);
auto rg1_column2 = rg1_accessor->ColumnChunk(1);
ASSERT_EQ(true, rg1_column1->is_stats_set());
ASSERT_EQ(true, rg1_column2->is_stats_set());
ASSERT_EQ(stats_float.min(), rg1_column2->statistics()->EncodeMin());
ASSERT_EQ(stats_float.max(), rg1_column2->statistics()->EncodeMax());
ASSERT_EQ(stats_int.min(), rg1_column1->statistics()->EncodeMin());
ASSERT_EQ(stats_int.max(), rg1_column1->statistics()->EncodeMax());
ASSERT_EQ(stats_float.min(), rg1_column2->encoded_statistics()->min());
ASSERT_EQ(stats_float.max(), rg1_column2->encoded_statistics()->max());
ASSERT_EQ(stats_int.min(), rg1_column1->encoded_statistics()->min());
ASSERT_EQ(stats_int.max(), rg1_column1->encoded_statistics()->max());
ASSERT_EQ(0, rg1_column1->statistics()->null_count());
ASSERT_EQ(0, rg1_column2->statistics()->null_count());
ASSERT_EQ(nrows, rg1_column1->statistics()->distinct_count());
ASSERT_EQ(nrows, rg1_column2->statistics()->distinct_count());
ASSERT_EQ(DEFAULT_COMPRESSION_TYPE, rg1_column1->compression());
ASSERT_EQ(DEFAULT_COMPRESSION_TYPE, rg1_column2->compression());
ASSERT_EQ(nrows / 2, rg1_column1->num_values());
ASSERT_EQ(nrows / 2, rg1_column2->num_values());
{
std::set<parquet::Encoding::type> encodings{parquet::Encoding::RLE,
parquet::Encoding::RLE_DICTIONARY,
parquet::Encoding::PLAIN};
AssertEncodings(*rg1_column1, encodings);
}
{
std::set<parquet::Encoding::type> encodings{parquet::Encoding::RLE,
parquet::Encoding::RLE_DICTIONARY,
parquet::Encoding::PLAIN};
AssertEncodings(*rg1_column2, encodings);
}
ASSERT_EQ(512, rg1_column1->total_compressed_size());
ASSERT_EQ(512, rg1_column2->total_compressed_size());
ASSERT_EQ(600, rg1_column1->total_uncompressed_size());
ASSERT_EQ(600, rg1_column2->total_uncompressed_size());
ASSERT_EQ(4, rg1_column1->dictionary_page_offset());
ASSERT_EQ(24, rg1_column2->dictionary_page_offset());
ASSERT_EQ(10, rg1_column1->data_page_offset());
ASSERT_EQ(30, rg1_column2->data_page_offset());
ASSERT_EQ(3, rg1_column1->encoding_stats().size());
ASSERT_EQ(3, rg1_column2->encoding_stats().size());
auto rg2_accessor = f_accessors[loop_index]->RowGroup(1);
ASSERT_EQ(2, rg2_accessor->num_columns());
ASSERT_EQ(nrows / 2, rg2_accessor->num_rows());
ASSERT_EQ(1024, rg2_accessor->total_byte_size());
ASSERT_EQ(1024, rg2_accessor->total_compressed_size());
EXPECT_EQ(rg2_accessor->file_offset(),
rg2_accessor->ColumnChunk(0)->data_page_offset());
auto rg2_column1 = rg2_accessor->ColumnChunk(0);
auto rg2_column2 = rg2_accessor->ColumnChunk(1);
ASSERT_EQ(true, rg2_column1->is_stats_set());
ASSERT_EQ(true, rg2_column2->is_stats_set());
ASSERT_EQ(stats_float.min(), rg2_column2->statistics()->EncodeMin());
ASSERT_EQ(stats_float.max(), rg2_column2->statistics()->EncodeMax());
ASSERT_EQ(stats_int.min(), rg1_column1->statistics()->EncodeMin());
ASSERT_EQ(stats_int.max(), rg1_column1->statistics()->EncodeMax());
ASSERT_EQ(stats_float.min(), rg2_column2->encoded_statistics()->min());
ASSERT_EQ(stats_float.max(), rg2_column2->encoded_statistics()->max());
ASSERT_EQ(stats_int.min(), rg1_column1->encoded_statistics()->min());
ASSERT_EQ(stats_int.max(), rg1_column1->encoded_statistics()->max());
ASSERT_EQ(0, rg2_column1->statistics()->null_count());
ASSERT_EQ(0, rg2_column2->statistics()->null_count());
ASSERT_EQ(nrows, rg2_column1->statistics()->distinct_count());
ASSERT_EQ(nrows, rg2_column2->statistics()->distinct_count());
ASSERT_EQ(nrows / 2, rg2_column1->num_values());
ASSERT_EQ(nrows / 2, rg2_column2->num_values());
ASSERT_EQ(DEFAULT_COMPRESSION_TYPE, rg2_column1->compression());
ASSERT_EQ(DEFAULT_COMPRESSION_TYPE, rg2_column2->compression());
{
std::set<parquet::Encoding::type> encodings{parquet::Encoding::RLE,
parquet::Encoding::PLAIN};
AssertEncodings(*rg2_column1, encodings);
}
{
std::set<parquet::Encoding::type> encodings{parquet::Encoding::RLE,
parquet::Encoding::RLE_DICTIONARY,
parquet::Encoding::PLAIN};
AssertEncodings(*rg2_column2, encodings);
}
ASSERT_EQ(512, rg2_column1->total_compressed_size());
ASSERT_EQ(512, rg2_column2->total_compressed_size());
ASSERT_EQ(600, rg2_column1->total_uncompressed_size());
ASSERT_EQ(600, rg2_column2->total_uncompressed_size());
EXPECT_FALSE(rg2_column1->has_dictionary_page());
ASSERT_EQ(0, rg2_column1->dictionary_page_offset());
ASSERT_EQ(16, rg2_column2->dictionary_page_offset());
ASSERT_EQ(10, rg2_column1->data_page_offset());
ASSERT_EQ(26, rg2_column2->data_page_offset());
ASSERT_EQ(2, rg2_column1->encoding_stats().size());
ASSERT_EQ(3, rg2_column2->encoding_stats().size());
// Test FileMetaData::set_file_path
ASSERT_TRUE(rg2_column1->file_path().empty());
f_accessors[loop_index]->set_file_path("/foo/bar/bar.parquet");
ASSERT_EQ("/foo/bar/bar.parquet", rg2_column1->file_path());
}
// Test AppendRowGroups
auto f_accessor_2 = GenerateTableMetaData(schema, props, nrows, stats_int, stats_float);
f_accessor->AppendRowGroups(*f_accessor_2);
ASSERT_EQ(4, f_accessor->num_row_groups());
ASSERT_EQ(nrows * 2, f_accessor->num_rows());
ASSERT_LE(0, static_cast<int>(f_accessor->size()));
ASSERT_EQ(ParquetVersion::PARQUET_2_6, f_accessor->version());
ASSERT_EQ(DEFAULT_CREATED_BY, f_accessor->created_by());
ASSERT_EQ(3, f_accessor->num_schema_elements());
// Test AppendRowGroups from self (ARROW-13654)
f_accessor->AppendRowGroups(*f_accessor);
ASSERT_EQ(8, f_accessor->num_row_groups());
ASSERT_EQ(nrows * 4, f_accessor->num_rows());
ASSERT_EQ(3, f_accessor->num_schema_elements());
// Test Subset
auto f_accessor_1 = f_accessor->Subset({2, 3});
ASSERT_TRUE(f_accessor_1->Equals(*f_accessor_2));
f_accessor_1 = f_accessor_2->Subset({0});
f_accessor_1->AppendRowGroups(*f_accessor->Subset({0}));
ASSERT_TRUE(f_accessor_1->Equals(*f_accessor->Subset({2, 0})));
}
namespace {
std::string EncodeInt32(int32_t value) {
return std::string(reinterpret_cast<const char*>(&value), sizeof(value));
}
constexpr int32_t kLegacyMin = 100, kLegacyMax = 200;
std::string SerializeMetadata(const format::FileMetaData& thrift_metadata) {
std::string out;
ThriftSerializer{}.SerializeToString(&thrift_metadata, &out);
return out;
}
std::shared_ptr<FileMetaData> ParseMetadata(std::string serialized_metadata) {
uint32_t decoded_len = static_cast<uint32_t>(serialized_metadata.size());
return FileMetaData::Make(serialized_metadata.data(), &decoded_len);
}
format::FileMetaData SingleInt32MetadataWithStats() {
format::FileMetaData metadata;
format::SchemaElement root, leaf;
schema::NodeVector fields = {schema::Int32("int_col", Repetition::REQUIRED)};
schema::GroupNode::Make("schema", Repetition::REPEATED, fields)->ToParquet(&root);
fields.back()->ToParquet(&leaf);
metadata.schema = {std::move(root), std::move(leaf)};
auto& column = metadata.row_groups.emplace_back().columns.emplace_back();
column.__isset.meta_data = true;
auto& column_metadata = column.meta_data;
column_metadata.__set_type(format::Type::INT32);
column_metadata.__isset.statistics = true;
auto& statistics = column_metadata.statistics;
statistics.__set_min(EncodeInt32(kLegacyMin));
statistics.__set_max(EncodeInt32(kLegacyMax));
statistics.__set_min_value(EncodeInt32(kLegacyMin));
statistics.__set_max_value(EncodeInt32(kLegacyMax));
metadata.column_orders.emplace_back().__set_TYPE_ORDER(format::TypeDefinedOrder{});
metadata.__isset.column_orders = true;
return metadata;
}
std::unique_ptr<ColumnChunkMetaData> GetOnlyColumnChunk(
const FileMetaData& metadata, ColumnOrder::type expected_order) {
EXPECT_EQ(expected_order, metadata.schema()->Column(0)->column_order().get_order());
return metadata.RowGroup(0)->ColumnChunk(0);
}
void AssertColumnChunkHasNoMinMax(const FileMetaData& metadata,
ColumnOrder::type expected_order) {
auto column = GetOnlyColumnChunk(metadata, expected_order);
ASSERT_NE(nullptr, column->encoded_statistics());
EXPECT_FALSE(column->encoded_statistics()->has_min);
EXPECT_FALSE(column->encoded_statistics()->has_max);
ASSERT_NE(nullptr, column->statistics());
EXPECT_FALSE(column->statistics()->HasMinMax());
}
void AssertColumnChunkMinMax(const FileMetaData& metadata,
ColumnOrder::type expected_order, int32_t min, int32_t max) {
auto column = GetOnlyColumnChunk(metadata, expected_order);
const std::string encoded_min = EncodeInt32(min);
const std::string encoded_max = EncodeInt32(max);
ASSERT_NE(nullptr, column->encoded_statistics());
EXPECT_EQ(encoded_min, column->encoded_statistics()->min());
EXPECT_EQ(encoded_max, column->encoded_statistics()->max());
ASSERT_NE(nullptr, column->statistics());
EXPECT_EQ(encoded_min, column->statistics()->EncodeMin());
EXPECT_EQ(encoded_max, column->statistics()->EncodeMax());
}
} // namespace
TEST(Metadata, UnknownColumnOrderIgnoresMinMax) {
format::FileMetaData thrift_metadata = SingleInt32MetadataWithStats();
// Simulate an unsupported ColumnOrder value: unknown union fields are skipped by
// Thrift, leaving an entry with no known field set.
thrift_metadata.column_orders.clear();
thrift_metadata.column_orders.emplace_back();
thrift_metadata.__isset.column_orders = true;
auto metadata = ParseMetadata(SerializeMetadata(thrift_metadata));
AssertColumnChunkHasNoMinMax(*metadata, ColumnOrder::UNKNOWN);
}
TEST(Metadata, MissingColumnOrderUsesLegacyMinMax) {
format::FileMetaData thrift_metadata = SingleInt32MetadataWithStats();
thrift_metadata.column_orders.clear();
thrift_metadata.__isset.column_orders = false;
auto& statistics = thrift_metadata.row_groups.at(0).columns.at(0).meta_data.statistics;
statistics.__set_min_value(EncodeInt32(kLegacyMin - 100));
statistics.__set_max_value(EncodeInt32(kLegacyMax + 100));
auto metadata = ParseMetadata(SerializeMetadata(thrift_metadata));
AssertColumnChunkMinMax(*metadata, ColumnOrder::UNDEFINED, kLegacyMin, kLegacyMax);
}
TEST(Metadata, TestV1Version) {
// PARQUET-839
parquet::schema::NodeVector fields;
parquet::schema::NodePtr root;
parquet::SchemaDescriptor schema;
WriterProperties::Builder prop_builder;
std::shared_ptr<WriterProperties> props =
prop_builder.version(ParquetVersion::PARQUET_1_0)->build();
fields.push_back(parquet::schema::Int32("int_col", Repetition::REQUIRED));
fields.push_back(parquet::schema::Float("float_col", Repetition::REQUIRED));
root = parquet::schema::GroupNode::Make("schema", Repetition::REPEATED, fields);
schema.Init(root);
auto f_builder = FileMetaDataBuilder::Make(&schema, props);
// Read the metadata
auto f_accessor = f_builder->Finish();
// file metadata
ASSERT_EQ(ParquetVersion::PARQUET_1_0, f_accessor->version());
}
TEST(Metadata, TestKeyValueMetadata) {
parquet::schema::NodeVector fields;
parquet::schema::NodePtr root;
parquet::SchemaDescriptor schema;
WriterProperties::Builder prop_builder;
std::shared_ptr<WriterProperties> props =
prop_builder.version(ParquetVersion::PARQUET_1_0)->build();
fields.push_back(parquet::schema::Int32("int_col", Repetition::REQUIRED));
fields.push_back(parquet::schema::Float("float_col", Repetition::REQUIRED));
root = parquet::schema::GroupNode::Make("schema", Repetition::REPEATED, fields);
schema.Init(root);
auto kvmeta = std::make_shared<KeyValueMetadata>();
kvmeta->Append("test_key", "test_value");
auto f_builder = FileMetaDataBuilder::Make(&schema, props);
// Read the metadata
auto f_accessor = f_builder->Finish(kvmeta);
// Key value metadata
ASSERT_TRUE(f_accessor->key_value_metadata());
EXPECT_TRUE(f_accessor->key_value_metadata()->Equals(*kvmeta));
}
TEST(Metadata, TestAddKeyValueMetadata) {
schema::NodeVector fields;
fields.push_back(schema::Int32("int_col", Repetition::REQUIRED));
auto schema = std::static_pointer_cast<schema::GroupNode>(
schema::GroupNode::Make("schema", Repetition::REQUIRED, fields));
auto kv_meta = std::make_shared<KeyValueMetadata>();
kv_meta->Append("test_key_1", "test_value_1");
kv_meta->Append("test_key_2", "test_value_2_");
auto sink = CreateOutputStream();
auto writer_props = parquet::WriterProperties::Builder().disable_dictionary()->build();
auto file_writer =
parquet::ParquetFileWriter::Open(sink, schema, writer_props, kv_meta);
// Key value metadata that will be added to the file.
auto kv_meta_added = std::make_shared<KeyValueMetadata>();
kv_meta_added->Append("test_key_2", "test_value_2");
kv_meta_added->Append("test_key_3", "test_value_3");
file_writer->AddKeyValueMetadata(kv_meta_added);
file_writer->Close();
// Throw if appending key value metadata to closed file.
auto kv_meta_ignored = std::make_shared<KeyValueMetadata>();
kv_meta_ignored->Append("test_key_4", "test_value_4");
EXPECT_THROW(file_writer->AddKeyValueMetadata(kv_meta_ignored), ParquetException);
PARQUET_ASSIGN_OR_THROW(auto buffer, sink->Finish());
auto source = std::make_shared<::arrow::io::BufferReader>(buffer);
auto file_reader = ParquetFileReader::Open(source);
ASSERT_NE(nullptr, file_reader->metadata());
ASSERT_NE(nullptr, file_reader->metadata()->key_value_metadata());
auto read_kv_meta = file_reader->metadata()->key_value_metadata();
// Verify keys that were added before file writer was closed are present.
for (int i = 1; i <= 3; ++i) {
auto index = std::to_string(i);
PARQUET_ASSIGN_OR_THROW(auto value, read_kv_meta->Get("test_key_" + index));
EXPECT_EQ("test_value_" + index, value);
}
// Verify keys that were added after file writer was closed are not present.
EXPECT_FALSE(read_kv_meta->Contains("test_key_4"));
}
TEST(Metadata, TestHasBloomFilter) {
std::string dir_string(parquet::test::get_data_dir());
std::string path = dir_string + "/data_index_bloom_encoding_stats.parquet";
auto reader = ParquetFileReader::OpenFile(path, false);
auto file_metadata = reader->metadata();
ASSERT_EQ(1, file_metadata->num_row_groups());
auto row_group_metadata = file_metadata->RowGroup(0);
ASSERT_EQ(1, row_group_metadata->num_columns());
auto col_chunk_metadata = row_group_metadata->ColumnChunk(0);
auto bloom_filter_offset = col_chunk_metadata->bloom_filter_offset();
ASSERT_TRUE(bloom_filter_offset.has_value());
ASSERT_EQ(192, bloom_filter_offset);
}
TEST(Metadata, TestReadPageIndex) {
std::string dir_string(parquet::test::get_data_dir());
std::string path = dir_string + "/alltypes_tiny_pages.parquet";
auto reader = ParquetFileReader::OpenFile(path, false);
auto file_metadata = reader->metadata();
ASSERT_EQ(1, file_metadata->num_row_groups());
auto row_group_metadata = file_metadata->RowGroup(0);
ASSERT_EQ(13, row_group_metadata->num_columns());
std::vector<int64_t> ci_offsets = {323583, 327502, 328009, 331928, 335847,
339766, 350345, 354264, 364843, 384342,
-1, 386473, 390392};
std::vector<int32_t> ci_lengths = {3919, 507, 3919, 3919, 3919, 10579, 3919,
10579, 19499, 2131, -1, 3919, 3919};
std::vector<int64_t> oi_offsets = {394311, 397814, 398637, 401888, 405139,
408390, 413670, 416921, 422201, 431936,
435457, 446002, 449253};
std::vector<int32_t> oi_lengths = {3503, 823, 3251, 3251, 3251, 5280, 3251,
5280, 9735, 3521, 10545, 3251, 3251};
for (int i = 0; i < row_group_metadata->num_columns(); ++i) {
auto col_chunk_metadata = row_group_metadata->ColumnChunk(i);
auto ci_location = col_chunk_metadata->GetColumnIndexLocation();
if (i == 10) {
// column_id 10 does not have column index
ASSERT_FALSE(ci_location.has_value());
} else {
ASSERT_TRUE(ci_location.has_value());
}
if (ci_location.has_value()) {
ASSERT_EQ(ci_offsets.at(i), ci_location->offset);
ASSERT_EQ(ci_lengths.at(i), ci_location->length);
}
auto oi_location = col_chunk_metadata->GetOffsetIndexLocation();
ASSERT_TRUE(oi_location.has_value());
ASSERT_EQ(oi_offsets.at(i), oi_location->offset);
ASSERT_EQ(oi_lengths.at(i), oi_location->length);
ASSERT_FALSE(col_chunk_metadata->bloom_filter_offset().has_value());
}
}
TEST(Metadata, TestSortingColumns) {
schema::NodeVector fields;
fields.push_back(schema::Int32("sort_col", Repetition::REQUIRED));
fields.push_back(schema::Int32("int_col", Repetition::REQUIRED));
auto schema = std::static_pointer_cast<schema::GroupNode>(
schema::GroupNode::Make("schema", Repetition::REQUIRED, fields));
std::vector<SortingColumn> sorting_columns;
{
SortingColumn sorting_column;
sorting_column.column_idx = 0;
sorting_column.descending = false;
sorting_column.nulls_first = false;
sorting_columns.push_back(sorting_column);
}
auto sink = CreateOutputStream();
auto writer_props = parquet::WriterProperties::Builder()
.disable_dictionary()
->set_sorting_columns(sorting_columns)
->build();
EXPECT_EQ(sorting_columns, writer_props->sorting_columns());
auto file_writer = parquet::ParquetFileWriter::Open(sink, schema, writer_props);
auto row_group_writer = file_writer->AppendBufferedRowGroup();
row_group_writer->Close();
file_writer->Close();
PARQUET_ASSIGN_OR_THROW(auto buffer, sink->Finish());
auto source = std::make_shared<::arrow::io::BufferReader>(buffer);
auto file_reader = ParquetFileReader::Open(source);
ASSERT_NE(nullptr, file_reader->metadata());
ASSERT_EQ(1, file_reader->metadata()->num_row_groups());
auto row_group_reader = file_reader->RowGroup(0);
auto* row_group_read_metadata = row_group_reader->metadata();
ASSERT_NE(nullptr, row_group_read_metadata);
EXPECT_EQ(sorting_columns, row_group_read_metadata->sorting_columns());
}
TEST(ApplicationVersion, Basics) {
ApplicationVersion version("parquet-mr version 1.7.9");
ApplicationVersion version1("parquet-mr version 1.8.0");
ApplicationVersion version2("parquet-cpp version 1.0.0");
ApplicationVersion version3("");
ApplicationVersion version4("parquet-mr version 1.5.0ab-cdh5.5.0+cd (build abcd)");
ApplicationVersion version5("parquet-mr");
ASSERT_EQ("parquet-mr", version.application_);
ASSERT_EQ(1, version.version.major);
ASSERT_EQ(7, version.version.minor);
ASSERT_EQ(9, version.version.patch);
ASSERT_EQ("parquet-cpp", version2.application_);
ASSERT_EQ(1, version2.version.major);
ASSERT_EQ(0, version2.version.minor);
ASSERT_EQ(0, version2.version.patch);
ASSERT_EQ("parquet-mr", version4.application_);
ASSERT_EQ("abcd", version4.build_);
ASSERT_EQ(1, version4.version.major);
ASSERT_EQ(5, version4.version.minor);
ASSERT_EQ(0, version4.version.patch);
ASSERT_EQ("ab", version4.version.unknown);
ASSERT_EQ("cdh5.5.0", version4.version.pre_release);
ASSERT_EQ("cd", version4.version.build_info);
ASSERT_EQ("parquet-mr", version5.application_);
ASSERT_EQ(0, version5.version.major);
ASSERT_EQ(0, version5.version.minor);
ASSERT_EQ(0, version5.version.patch);
ASSERT_EQ(true, version.VersionLt(version1));
EncodedStatistics stats;
ASSERT_FALSE(version1.HasCorrectStatistics(Type::INT96, stats, SortOrder::UNKNOWN));
ASSERT_TRUE(version.HasCorrectStatistics(Type::INT32, stats, SortOrder::SIGNED));
ASSERT_FALSE(version.HasCorrectStatistics(Type::BYTE_ARRAY, stats, SortOrder::SIGNED));
ASSERT_TRUE(version1.HasCorrectStatistics(Type::BYTE_ARRAY, stats, SortOrder::SIGNED));
ASSERT_FALSE(
version1.HasCorrectStatistics(Type::BYTE_ARRAY, stats, SortOrder::UNSIGNED));
ASSERT_TRUE(version3.HasCorrectStatistics(Type::FIXED_LEN_BYTE_ARRAY, stats,
SortOrder::SIGNED));
// Check that the old stats are correct if min and max are the same
// regardless of sort order
EncodedStatistics stats_str;
stats_str.set_min("a").set_max("b");
ASSERT_FALSE(
version1.HasCorrectStatistics(Type::BYTE_ARRAY, stats_str, SortOrder::UNSIGNED));
stats_str.set_max("a");
ASSERT_TRUE(
version1.HasCorrectStatistics(Type::BYTE_ARRAY, stats_str, SortOrder::UNSIGNED));
// Check that the same holds true for ints
int32_t int_min = 100, int_max = 200;
EncodedStatistics stats_int;
stats_int.set_min(std::string(reinterpret_cast<const char*>(&int_min), 4))
.set_max(std::string(reinterpret_cast<const char*>(&int_max), 4));
ASSERT_FALSE(
version1.HasCorrectStatistics(Type::BYTE_ARRAY, stats_int, SortOrder::UNSIGNED));
stats_int.set_max(std::string(reinterpret_cast<const char*>(&int_min), 4));
ASSERT_TRUE(
version1.HasCorrectStatistics(Type::BYTE_ARRAY, stats_int, SortOrder::UNSIGNED));
}
TEST(ApplicationVersion, Empty) {
ApplicationVersion version("");
ASSERT_EQ("", version.application_);
ASSERT_EQ("", version.build_);
ASSERT_EQ(0, version.version.major);
ASSERT_EQ(0, version.version.minor);
ASSERT_EQ(0, version.version.patch);
ASSERT_EQ("", version.version.unknown);
ASSERT_EQ("", version.version.pre_release);
ASSERT_EQ("", version.version.build_info);
}
TEST(ApplicationVersion, NoVersion) {
ApplicationVersion version("parquet-mr (build abcd)");
ASSERT_EQ("parquet-mr (build abcd)", version.application_);
ASSERT_EQ("", version.build_);
ASSERT_EQ(0, version.version.major);
ASSERT_EQ(0, version.version.minor);
ASSERT_EQ(0, version.version.patch);
ASSERT_EQ("", version.version.unknown);
ASSERT_EQ("", version.version.pre_release);
ASSERT_EQ("", version.version.build_info);
}
TEST(ApplicationVersion, VersionEmpty) {
ApplicationVersion version("parquet-mr version ");
ASSERT_EQ("parquet-mr", version.application_);
ASSERT_EQ("", version.build_);
ASSERT_EQ(0, version.version.major);
ASSERT_EQ(0, version.version.minor);
ASSERT_EQ(0, version.version.patch);
ASSERT_EQ("", version.version.unknown);
ASSERT_EQ("", version.version.pre_release);
ASSERT_EQ("", version.version.build_info);
}
TEST(ApplicationVersion, VersionNoMajor) {
ApplicationVersion version("parquet-mr version .");
ASSERT_EQ("parquet-mr", version.application_);
ASSERT_EQ("", version.build_);
ASSERT_EQ(0, version.version.major);
ASSERT_EQ(0, version.version.minor);
ASSERT_EQ(0, version.version.patch);
ASSERT_EQ("", version.version.unknown);
ASSERT_EQ("", version.version.pre_release);
ASSERT_EQ("", version.version.build_info);
}
TEST(ApplicationVersion, VersionInvalidMajor) {
ApplicationVersion version("parquet-mr version x1");
ASSERT_EQ("parquet-mr", version.application_);
ASSERT_EQ("", version.build_);
ASSERT_EQ(0, version.version.major);
ASSERT_EQ(0, version.version.minor);
ASSERT_EQ(0, version.version.patch);
ASSERT_EQ("", version.version.unknown);
ASSERT_EQ("", version.version.pre_release);
ASSERT_EQ("", version.version.build_info);
}
TEST(ApplicationVersion, VersionMajorOnly) {
ApplicationVersion version("parquet-mr version 1");
ASSERT_EQ("parquet-mr", version.application_);
ASSERT_EQ("", version.build_);
ASSERT_EQ(1, version.version.major);
ASSERT_EQ(0, version.version.minor);
ASSERT_EQ(0, version.version.patch);
ASSERT_EQ("", version.version.unknown);
ASSERT_EQ("", version.version.pre_release);
ASSERT_EQ("", version.version.build_info);
}
TEST(ApplicationVersion, VersionNoMinor) {
ApplicationVersion version("parquet-mr version 1.");
ASSERT_EQ("parquet-mr", version.application_);
ASSERT_EQ("", version.build_);
ASSERT_EQ(1, version.version.major);
ASSERT_EQ(0, version.version.minor);
ASSERT_EQ(0, version.version.patch);
ASSERT_EQ("", version.version.unknown);
ASSERT_EQ("", version.version.pre_release);
ASSERT_EQ("", version.version.build_info);
}
TEST(ApplicationVersion, VersionMajorMinorOnly) {
ApplicationVersion version("parquet-mr version 1.7");
ASSERT_EQ("parquet-mr", version.application_);
ASSERT_EQ("", version.build_);
ASSERT_EQ(1, version.version.major);
ASSERT_EQ(7, version.version.minor);
ASSERT_EQ(0, version.version.patch);
ASSERT_EQ("", version.version.unknown);
ASSERT_EQ("", version.version.pre_release);
ASSERT_EQ("", version.version.build_info);
}
TEST(ApplicationVersion, VersionInvalidMinor) {
ApplicationVersion version("parquet-mr version 1.x7");
ASSERT_EQ("parquet-mr", version.application_);
ASSERT_EQ("", version.build_);
ASSERT_EQ(1, version.version.major);
ASSERT_EQ(0, version.version.minor);
ASSERT_EQ(0, version.version.patch);
ASSERT_EQ("", version.version.unknown);
ASSERT_EQ("", version.version.pre_release);
ASSERT_EQ("", version.version.build_info);
}
TEST(ApplicationVersion, VersionNoPatch) {
ApplicationVersion version("parquet-mr version 1.7.");
ASSERT_EQ("parquet-mr", version.application_);
ASSERT_EQ("", version.build_);
ASSERT_EQ(1, version.version.major);
ASSERT_EQ(7, version.version.minor);
ASSERT_EQ(0, version.version.patch);
ASSERT_EQ("", version.version.unknown);
ASSERT_EQ("", version.version.pre_release);
ASSERT_EQ("", version.version.build_info);
}
TEST(ApplicationVersion, VersionInvalidPatch) {
ApplicationVersion version("parquet-mr version 1.7.x9");
ASSERT_EQ("parquet-mr", version.application_);
ASSERT_EQ("", version.build_);
ASSERT_EQ(1, version.version.major);
ASSERT_EQ(7, version.version.minor);
ASSERT_EQ(0, version.version.patch);
ASSERT_EQ("", version.version.unknown);
ASSERT_EQ("", version.version.pre_release);
ASSERT_EQ("", version.version.build_info);
}
TEST(ApplicationVersion, VersionNoUnknown) {
ApplicationVersion version("parquet-mr version 1.7.9-cdh5.5.0+cd");
ASSERT_EQ("parquet-mr", version.application_);
ASSERT_EQ("", version.build_);
ASSERT_EQ(1, version.version.major);
ASSERT_EQ(7, version.version.minor);
ASSERT_EQ(9, version.version.patch);
ASSERT_EQ("", version.version.unknown);
ASSERT_EQ("cdh5.5.0", version.version.pre_release);
ASSERT_EQ("cd", version.version.build_info);
}
TEST(ApplicationVersion, VersionNoPreRelease) {
ApplicationVersion version("parquet-mr version 1.7.9ab+cd");
ASSERT_EQ("parquet-mr", version.application_);
ASSERT_EQ("", version.build_);
ASSERT_EQ(1, version.version.major);
ASSERT_EQ(7, version.version.minor);
ASSERT_EQ(9, version.version.patch);
ASSERT_EQ("ab", version.version.unknown);
ASSERT_EQ("", version.version.pre_release);
ASSERT_EQ("cd", version.version.build_info);
}
TEST(ApplicationVersion, VersionNoUnknownNoPreRelease) {
ApplicationVersion version("parquet-mr version 1.7.9+cd");
ASSERT_EQ("parquet-mr", version.application_);
ASSERT_EQ("", version.build_);
ASSERT_EQ(1, version.version.major);
ASSERT_EQ(7, version.version.minor);
ASSERT_EQ(9, version.version.patch);
ASSERT_EQ("", version.version.unknown);
ASSERT_EQ("", version.version.pre_release);
ASSERT_EQ("cd", version.version.build_info);
}
TEST(ApplicationVersion, VersionNoUnknownBuildInfoPreRelease) {
ApplicationVersion version("parquet-mr version 1.7.9+cd-cdh5.5.0");
ASSERT_EQ("parquet-mr", version.application_);
ASSERT_EQ("", version.build_);
ASSERT_EQ(1, version.version.major);
ASSERT_EQ(7, version.version.minor);
ASSERT_EQ(9, version.version.patch);
ASSERT_EQ("", version.version.unknown);
ASSERT_EQ("", version.version.pre_release);
ASSERT_EQ("cd-cdh5.5.0", version.version.build_info);
}
TEST(ApplicationVersion, FullWithSpaces) {
ApplicationVersion version(
" parquet-mr \t version \v 1.5.3ab-cdh5.5.0+cd \r (build \n abcd \f) ");
ASSERT_EQ("parquet-mr", version.application_);
ASSERT_EQ("abcd", version.build_);
ASSERT_EQ(1, version.version.major);
ASSERT_EQ(5, version.version.minor);
ASSERT_EQ(3, version.version.patch);
ASSERT_EQ("ab", version.version.unknown);
ASSERT_EQ("cdh5.5.0", version.version.pre_release);
ASSERT_EQ("cd", version.version.build_info);
}
} // namespace metadata
} // namespace parquet