Dmatrix refactor stage 2 (#3395)
* DMatrix refactor 2 * Remove buffered rowset usage where possible * Transition to c++11 style iterators for row access * Transition column iterators to C++ 11
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@@ -123,12 +123,9 @@ TEST(MetaInfo, LoadQid) {
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xgboost::Entry(2, 0), xgboost::Entry(3, 0), xgboost::Entry(4, 0.4),
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xgboost::Entry(5, 1), xgboost::Entry(1, 0), xgboost::Entry(2, 1),
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xgboost::Entry(3, 1), xgboost::Entry(4, 0.5), {5, 0}};
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dmlc::DataIter<xgboost::SparsePage>* iter = dmat->RowIterator();
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iter->BeforeFirst();
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CHECK(iter->Next());
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const xgboost::SparsePage& batch = iter->Value();
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CHECK_EQ(batch.base_rowid, 0);
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CHECK(batch.offset.HostVector() == expected_offset);
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CHECK(batch.data.HostVector() == expected_data);
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CHECK(!iter->Next());
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for (const auto &batch : dmat->GetRowBatches()) {
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CHECK_EQ(batch.base_rowid, 0);
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CHECK(batch.offset.HostVector() == expected_offset);
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CHECK(batch.data.HostVector() == expected_data);
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}
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}
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@@ -18,18 +18,17 @@ TEST(SimpleCSRSource, SaveLoadBinary) {
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EXPECT_EQ(dmat->Info().num_row_, dmat_read->Info().num_row_);
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EXPECT_EQ(dmat->Info().num_row_, dmat_read->Info().num_row_);
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auto row_iter = dmat->RowIterator();
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auto row_iter_read = dmat_read->RowIterator();
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// Test we have non-empty batch
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EXPECT_EQ(dmat->GetRowBatches().begin().AtEnd(), false);
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auto row_iter = dmat->GetRowBatches().begin();
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auto row_iter_read = dmat_read->GetRowBatches().begin();
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// Test the data read into the first row
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row_iter->BeforeFirst(); row_iter->Next();
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row_iter_read->BeforeFirst(); row_iter_read->Next();
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auto first_row = row_iter->Value()[0];
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auto first_row_read = row_iter_read->Value()[0];
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auto first_row = (*row_iter)[0];
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auto first_row_read = (*row_iter_read)[0];
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EXPECT_EQ(first_row.size(), first_row_read.size());
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EXPECT_EQ(first_row[2].index, first_row_read[2].index);
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EXPECT_EQ(first_row[2].fvalue, first_row_read[2].fvalue);
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row_iter = nullptr; row_iter_read = nullptr;
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delete dmat;
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delete dmat_read;
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}
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@@ -23,20 +23,18 @@ TEST(SimpleDMatrix, RowAccess) {
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xgboost::DMatrix * dmat = xgboost::DMatrix::Load(tmp_file, false, false);
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std::remove(tmp_file.c_str());
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auto row_iter = dmat->RowIterator();
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// Loop over the batches and count the records
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long row_count = 0;
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row_iter->BeforeFirst();
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while (row_iter->Next()) row_count += row_iter->Value().Size();
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for (auto &batch : dmat->GetRowBatches()) {
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row_count += batch.Size();
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}
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EXPECT_EQ(row_count, dmat->Info().num_row_);
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// Test the data read into the first row
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row_iter->BeforeFirst();
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row_iter->Next();
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auto first_row = row_iter->Value()[0];
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auto &batch = *dmat->GetRowBatches().begin();
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auto first_row = batch[0];
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ASSERT_EQ(first_row.size(), 3);
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EXPECT_EQ(first_row[2].index, 2);
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EXPECT_EQ(first_row[2].fvalue, 20);
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row_iter = nullptr;
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delete dmat;
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}
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@@ -46,40 +44,18 @@ TEST(SimpleDMatrix, ColAccessWithoutBatches) {
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xgboost::DMatrix * dmat = xgboost::DMatrix::Load(tmp_file, true, false);
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std::remove(tmp_file.c_str());
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// Unsorted column access
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const std::vector<bool> enable(dmat->Info().num_col_, true);
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EXPECT_EQ(dmat->HaveColAccess(false), false);
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dmat->InitColAccess(dmat->Info().num_row_, false);
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dmat->InitColAccess(0, false); // Calling it again should not change it
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ASSERT_EQ(dmat->HaveColAccess(false), true);
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// Sorted column access
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EXPECT_EQ(dmat->HaveColAccess(true), false);
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dmat->InitColAccess(dmat->Info().num_row_, true);
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dmat->InitColAccess(0, true); // Calling it again should not change it
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ASSERT_EQ(dmat->HaveColAccess(true), true);
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EXPECT_EQ(dmat->GetColSize(0), 2);
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EXPECT_EQ(dmat->GetColSize(1), 1);
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EXPECT_EQ(dmat->GetColDensity(0), 1);
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EXPECT_EQ(dmat->GetColDensity(1), 0.5);
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ASSERT_TRUE(dmat->SingleColBlock());
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auto* col_iter = dmat->ColIterator();
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// Loop over the batches and assert the data is as expected
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long num_col_batch = 0;
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col_iter->BeforeFirst();
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while (col_iter->Next()) {
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for (const auto &batch : dmat->GetSortedColumnBatches()) {
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num_col_batch += 1;
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EXPECT_EQ(col_iter->Value().Size(), dmat->Info().num_col_)
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<< "Expected batch size = number of cells as #batches is 1.";
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for (int i = 0; i < static_cast<int>(col_iter->Value().Size()); ++i) {
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EXPECT_EQ(col_iter->Value()[i].size(), dmat->GetColSize(i))
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<< "Expected length of each colbatch = colsize as #batches is 1.";
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}
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EXPECT_EQ(batch.Size(), dmat->Info().num_col_)
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<< "Expected batch size = number of cells as #batches is 1.";
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}
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EXPECT_EQ(num_col_batch, 1) << "Expected number of batches to be 1";
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col_iter = nullptr;
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delete dmat;
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}
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@@ -8,7 +8,6 @@ TEST(SparsePageDMatrix, MetaInfo) {
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std::string tmp_file = CreateSimpleTestData();
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xgboost::DMatrix * dmat = xgboost::DMatrix::Load(
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tmp_file + "#" + tmp_file + ".cache", false, false);
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std::remove(tmp_file.c_str());
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std::cout << tmp_file << std::endl;
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EXPECT_TRUE(FileExists(tmp_file + ".cache"));
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@@ -19,6 +18,7 @@ TEST(SparsePageDMatrix, MetaInfo) {
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EXPECT_EQ(dmat->Info().labels_.Size(), dmat->Info().num_row_);
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// Clean up of external memory files
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std::remove(tmp_file.c_str());
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std::remove((tmp_file + ".cache").c_str());
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std::remove((tmp_file + ".cache.row.page").c_str());
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@@ -26,26 +26,26 @@ TEST(SparsePageDMatrix, MetaInfo) {
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}
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TEST(SparsePageDMatrix, RowAccess) {
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std::string tmp_file = CreateSimpleTestData();
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// Create sufficiently large data to make two row pages
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std::string tmp_file = CreateBigTestData(5000000);
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xgboost::DMatrix * dmat = xgboost::DMatrix::Load(
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tmp_file + "#" + tmp_file + ".cache", true, false);
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std::remove(tmp_file.c_str());
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EXPECT_TRUE(FileExists(tmp_file + ".cache.row.page"));
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auto row_iter = dmat->RowIterator();
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// Loop over the batches and count the records
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long row_count = 0;
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row_iter->BeforeFirst();
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while (row_iter->Next()) row_count += row_iter->Value().Size();
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for (auto &batch : dmat->GetRowBatches()) {
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row_count += batch.Size();
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}
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EXPECT_EQ(row_count, dmat->Info().num_row_);
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// Test the data read into the first row
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row_iter->BeforeFirst();
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row_iter->Next();
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auto first_row = row_iter->Value()[0];
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auto &batch = *dmat->GetRowBatches().begin();
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auto first_row = batch[0];
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ASSERT_EQ(first_row.size(), 3);
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EXPECT_EQ(first_row[2].index, 2);
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EXPECT_EQ(first_row[2].fvalue, 20);
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row_iter = nullptr;
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// Clean up of external memory files
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std::remove((tmp_file + ".cache").c_str());
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@@ -59,35 +59,33 @@ TEST(SparsePageDMatrix, ColAccess) {
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xgboost::DMatrix * dmat = xgboost::DMatrix::Load(
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tmp_file + "#" + tmp_file + ".cache", true, false);
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std::remove(tmp_file.c_str());
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EXPECT_FALSE(FileExists(tmp_file + ".cache.col.page"));
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EXPECT_EQ(dmat->HaveColAccess(true), false);
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const std::vector<bool> enable(dmat->Info().num_col_, true);
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dmat->InitColAccess(1, true); // Max 1 row per patch
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ASSERT_EQ(dmat->HaveColAccess(true), true);
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EXPECT_TRUE(FileExists(tmp_file + ".cache.col.page"));
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EXPECT_EQ(dmat->GetColSize(0), 2);
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EXPECT_EQ(dmat->GetColSize(1), 1);
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EXPECT_EQ(dmat->GetColDensity(0), 1);
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EXPECT_EQ(dmat->GetColDensity(1), 0.5);
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auto col_iter = dmat->ColIterator();
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// Loop over the batches and assert the data is as expected
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long num_col_batch = 0;
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col_iter->BeforeFirst();
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while (col_iter->Next()) {
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num_col_batch += 1;
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EXPECT_EQ(col_iter->Value().Size(), dmat->Info().num_col_)
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<< "Expected batch size to be same as num_cols as max_row_perbatch is 1.";
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for (auto col_batch : dmat->GetSortedColumnBatches()) {
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EXPECT_EQ(col_batch.Size(), dmat->Info().num_col_);
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EXPECT_EQ(col_batch[1][0].fvalue, 10.0f);
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EXPECT_EQ(col_batch[1].size(), 1);
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}
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EXPECT_EQ(num_col_batch, dmat->Info().num_row_)
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<< "Expected num batches to be same as num_rows as max_row_perbatch is 1";
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col_iter = nullptr;
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// Loop over the batches and assert the data is as expected
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for (auto col_batch : dmat->GetColumnBatches()) {
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EXPECT_EQ(col_batch.Size(), dmat->Info().num_col_);
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EXPECT_EQ(col_batch[1][0].fvalue, 10.0f);
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EXPECT_EQ(col_batch[1].size(), 1);
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}
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EXPECT_TRUE(FileExists(tmp_file + ".cache"));
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EXPECT_TRUE(FileExists(tmp_file + ".cache.row.page"));
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EXPECT_TRUE(FileExists(tmp_file + ".cache.col.page"));
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EXPECT_TRUE(FileExists(tmp_file + ".cache.sorted.col.page"));
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std::remove((tmp_file + ".cache").c_str());
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std::remove((tmp_file + ".cache.col.page").c_str());
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std::remove((tmp_file + ".cache.row.page").c_str());
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std::remove((tmp_file + ".cache.col.page").c_str());
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std::remove((tmp_file + ".cache.sorted.col.page").c_str());
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delete dmat;
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}
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