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hdfs_scanner_test.cpp
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hdfs_scanner_test.cpp
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// This file is licensed under the Elastic License 2.0. Copyright 2021-present, StarRocks Limited.
#include "exec/vectorized/hdfs_scanner.h"
#include <gtest/gtest.h>
#include <memory>
#include "column/column_helper.h"
#include "exec/vectorized/hdfs_scanner_orc.h"
#include "exec/vectorized/hdfs_scanner_parquet.h"
#include "runtime/descriptor_helper.h"
#include "runtime/runtime_state.h"
#include "storage/chunk_helper.h"
#include "testutil/assert.h"
namespace starrocks::vectorized {
struct SlotDesc {
string name;
TypeDescriptor type;
};
// TODO: partition scan
class HdfsScannerTest : public ::testing::Test {
public:
void SetUp() override {
_create_runtime_profile();
_create_runtime_state("");
}
void TearDown() override {}
//private:
protected:
void _create_runtime_state(const std::string& timezone);
void _create_runtime_profile();
HdfsScannerParams* _create_param(const std::string& file, THdfsScanRange* range, TupleDescriptor* tuple_desc);
THdfsScanRange* _create_scan_range(const std::string& file, uint64_t offset, uint64_t length);
TupleDescriptor* _create_tuple_desc(SlotDesc* descs);
ObjectPool _pool;
RuntimeProfile* _runtime_profile = nullptr;
RuntimeState* _runtime_state = nullptr;
std::shared_ptr<RowDescriptor> _row_desc = nullptr;
};
void HdfsScannerTest::_create_runtime_profile() {
_runtime_profile = _pool.add(new RuntimeProfile("test"));
_runtime_profile->set_metadata(1);
}
void HdfsScannerTest::_create_runtime_state(const std::string& timezone) {
TUniqueId fragment_id;
TQueryOptions query_options;
TQueryGlobals query_globals;
if (timezone != "") {
query_globals.__set_time_zone(timezone);
}
_runtime_state = _pool.add(new RuntimeState(fragment_id, query_options, query_globals, nullptr));
_runtime_state->init_instance_mem_tracker();
}
THdfsScanRange* HdfsScannerTest::_create_scan_range(const std::string& file, uint64_t offset, uint64_t length) {
auto* scan_range = _pool.add(new THdfsScanRange());
ASSIGN_OR_ABORT(uint64_t file_size, FileSystem::Default()->get_file_size(file));
scan_range->relative_path = file;
scan_range->offset = offset;
scan_range->length = length == 0 ? file_size : length;
scan_range->file_length = file_size;
return scan_range;
}
HdfsScannerParams* HdfsScannerTest::_create_param(const std::string& file, THdfsScanRange* range,
TupleDescriptor* tuple_desc) {
auto* param = _pool.add(new HdfsScannerParams());
param->fs = FileSystem::Default();
param->path = file;
param->scan_ranges.emplace_back(range);
param->tuple_desc = tuple_desc;
std::vector<int> materialize_index_in_chunk;
std::vector<int> partition_index_in_chunk;
std::vector<SlotDescriptor*> mat_slots;
std::vector<SlotDescriptor*> part_slots;
for (int i = 0; i < tuple_desc->slots().size(); i++) {
SlotDescriptor* slot = tuple_desc->slots()[i];
if (slot->col_name().find("PART_") != std::string::npos) {
partition_index_in_chunk.push_back(i);
part_slots.push_back(slot);
} else {
materialize_index_in_chunk.push_back(i);
mat_slots.push_back(slot);
}
}
param->partition_index_in_chunk = partition_index_in_chunk;
param->materialize_index_in_chunk = materialize_index_in_chunk;
param->materialize_slots = mat_slots;
param->partition_slots = part_slots;
return param;
}
TupleDescriptor* HdfsScannerTest::_create_tuple_desc(SlotDesc* descs) {
TDescriptorTableBuilder table_desc_builder;
TSlotDescriptorBuilder slot_desc_builder;
TTupleDescriptorBuilder tuple_desc_builder;
int slot_id = 0;
while (descs->name != "") {
slot_desc_builder.column_name(descs->name).type(descs->type).id(slot_id).nullable(true);
tuple_desc_builder.add_slot(slot_desc_builder.build());
descs += 1;
slot_id += 1;
}
tuple_desc_builder.build(&table_desc_builder);
std::vector<TTupleId> row_tuples = std::vector<TTupleId>{0};
std::vector<bool> nullable_tuples = std::vector<bool>{true};
DescriptorTbl* tbl = nullptr;
DescriptorTbl::create(&_pool, table_desc_builder.desc_tbl(), &tbl, config::vector_chunk_size);
_row_desc = std::make_shared<RowDescriptor>(*tbl, row_tuples, nullable_tuples);
auto* tuple_desc = _row_desc->tuple_descriptors()[0];
return tuple_desc;
}
// ========================= PARQUET SCANNER ============================
static SlotDesc default_parquet_descs[] = {
{"c1", TypeDescriptor::from_primtive_type(PrimitiveType::TYPE_INT)},
{"c2", TypeDescriptor::from_primtive_type(PrimitiveType::TYPE_BIGINT)},
{"c3", TypeDescriptor::from_primtive_type(PrimitiveType::TYPE_VARCHAR, 22)},
{"col_varchar", TypeDescriptor::from_primtive_type(PrimitiveType::TYPE_DATETIME)},
{""}};
std::string default_parquet_file = "./be/test/exec/test_data/parquet_scanner/file_reader_test.parquet1";
TEST_F(HdfsScannerTest, TestParquetInit) {
auto scanner = std::make_shared<HdfsParquetScanner>();
auto* range = _create_scan_range(default_parquet_file, 4, 1024);
auto* tuple_desc = _create_tuple_desc(default_parquet_descs);
auto* param = _create_param(default_parquet_file, range, tuple_desc);
Status status = scanner->init(_runtime_state, *param);
ASSERT_TRUE(status.ok());
}
TEST_F(HdfsScannerTest, TestParquetOpen) {
auto scanner = std::make_shared<HdfsParquetScanner>();
auto* range = _create_scan_range(default_parquet_file, 4, 1024);
auto* tuple_desc = _create_tuple_desc(default_parquet_descs);
auto* param = _create_param(default_parquet_file, range, tuple_desc);
Status status = scanner->init(_runtime_state, *param);
ASSERT_TRUE(status.ok());
status = scanner->open(_runtime_state);
ASSERT_TRUE(status.ok());
}
TEST_F(HdfsScannerTest, TestParquetGetNext) {
auto scanner = std::make_shared<HdfsParquetScanner>();
auto* range = _create_scan_range(default_parquet_file, 4, 1024);
auto* tuple_desc = _create_tuple_desc(default_parquet_descs);
auto* param = _create_param(default_parquet_file, range, tuple_desc);
Status status = scanner->init(_runtime_state, *param);
ASSERT_TRUE(status.ok());
status = scanner->open(_runtime_state);
ASSERT_TRUE(status.ok());
auto chunk = ChunkHelper::new_chunk(*tuple_desc, 0);
status = scanner->get_next(_runtime_state, &chunk);
ASSERT_TRUE(status.ok());
ASSERT_EQ(chunk->num_rows(), 4);
status = scanner->get_next(_runtime_state, &chunk);
ASSERT_TRUE(status.is_end_of_file());
scanner->close(_runtime_state);
}
// ========================= ORC SCANNER ============================
static TTypeDesc create_primitive_type_desc(TPrimitiveType::type type) {
TTypeDesc result;
TTypeNode node;
node.__set_type(TTypeNodeType::SCALAR);
TScalarType scalar_type;
scalar_type.__set_type(type);
node.__set_scalar_type(scalar_type);
result.types.push_back(node);
return result;
}
static TExprNode create_int_literal_node(TPrimitiveType::type value_type, int64_t value_literal) {
TExprNode lit_node;
lit_node.__set_node_type(TExprNodeType::INT_LITERAL);
lit_node.__set_num_children(0);
lit_node.__set_type(create_primitive_type_desc(value_type));
TIntLiteral lit_value;
lit_value.__set_value(value_literal);
lit_node.__set_int_literal(lit_value);
lit_node.__set_use_vectorized(true);
return lit_node;
}
static TExprNode create_string_literal_node(TPrimitiveType::type value_type, const std::string& value_literal) {
TExprNode lit_node;
lit_node.__set_node_type(TExprNodeType::STRING_LITERAL);
lit_node.__set_num_children(0);
lit_node.__set_type(create_primitive_type_desc(value_type));
TStringLiteral lit_value;
lit_value.__set_value(value_literal);
lit_node.__set_string_literal(lit_value);
lit_node.__set_use_vectorized(true);
return lit_node;
}
static TExprNode create_datetime_literal_node(TPrimitiveType::type value_type, const std::string& value_literal) {
TExprNode lit_node;
lit_node.__set_node_type(TExprNodeType::DATE_LITERAL);
lit_node.__set_num_children(0);
lit_node.__set_type(create_primitive_type_desc(value_type));
TDateLiteral lit_value;
lit_value.__set_value(value_literal);
lit_node.__set_date_literal(lit_value);
lit_node.__set_use_vectorized(true);
return lit_node;
}
template <typename ValueType>
static void push_binary_pred_texpr_node(std::vector<TExprNode>& nodes, TExprOpcode::type opcode,
SlotDescriptor* slot_desc, ValueType value_type, TExprNode lit_node) {
TExprNode eq_node;
eq_node.__set_node_type(TExprNodeType::type::BINARY_PRED);
eq_node.__set_child_type(value_type);
eq_node.__set_type(create_primitive_type_desc(TPrimitiveType::BOOLEAN));
eq_node.__set_opcode(opcode);
eq_node.__set_num_children(2);
eq_node.__set_use_vectorized(true);
TExprNode slot_node;
slot_node.__set_node_type(TExprNodeType::SLOT_REF);
slot_node.__set_num_children(0);
slot_node.__set_type(create_primitive_type_desc(value_type));
TSlotRef slot_ref;
slot_ref.__set_slot_id(slot_desc->id());
slot_ref.__set_tuple_id(slot_desc->parent());
slot_node.__set_slot_ref(slot_ref);
slot_node.__set_use_vectorized(true);
nodes.emplace_back(eq_node);
nodes.emplace_back(slot_node);
nodes.emplace_back(lit_node);
}
static ExprContext* create_expr_context(ObjectPool* pool, const std::vector<TExprNode>& nodes) {
TExpr texpr;
texpr.__set_nodes(nodes);
ExprContext* ctx;
Status st = Expr::create_expr_tree(pool, texpr, &ctx);
DCHECK(st.ok()) << st.get_error_msg();
return ctx;
}
static void extend_partition_values(ObjectPool* pool, HdfsScannerParams* params, const std::vector<int64_t>& values) {
std::vector<int> positions;
std::vector<ExprContext*> part_values;
for (int i = 0; i < values.size(); i++) {
int64_t v = values[i];
std::vector<TExprNode> nodes;
TExprNode lit_node = create_int_literal_node(TPrimitiveType::INT, v);
nodes.emplace_back(lit_node);
ExprContext* ctx = create_expr_context(pool, nodes);
part_values.push_back(ctx);
positions.push_back(i);
}
params->_partition_index_in_hdfs_partition_columns = positions;
params->partition_values = part_values;
}
#define READ_SCANNER_ROWS(scanner, exp) \
do { \
auto chunk = ChunkHelper::new_chunk(*tuple_desc, 0); \
uint64_t records = 0; \
for (;;) { \
chunk->reset(); \
status = scanner->get_next(_runtime_state, &chunk); \
if (status.is_end_of_file()) { \
break; \
} \
if (!status.ok()) { \
std::cout << "status not ok: " << status.get_error_msg() << std::endl; \
break; \
} \
if (chunk->num_rows() > 0) { \
std::cout << "row#0: " << chunk->debug_row(0) << std::endl; \
EXPECT_EQ(chunk->num_columns(), tuple_desc->slots().size()); \
} \
records += chunk->num_rows(); \
} \
EXPECT_EQ(records, exp); \
} while (0)
// ====================================================================================================
static SlotDesc mtypes_orc_descs[] = {
{"id", TypeDescriptor::from_primtive_type(PrimitiveType::TYPE_BIGINT)},
{"col_float", TypeDescriptor::from_primtive_type(PrimitiveType::TYPE_FLOAT)},
{"col_double", TypeDescriptor::from_primtive_type(PrimitiveType::TYPE_DOUBLE)},
{"col_varchar", TypeDescriptor::from_primtive_type(PrimitiveType::TYPE_VARCHAR)},
{"col_char", TypeDescriptor::from_primtive_type(PrimitiveType::TYPE_VARCHAR)},
{"col_tinyint", TypeDescriptor::from_primtive_type(PrimitiveType::TYPE_TINYINT)},
{"col_smallint", TypeDescriptor::from_primtive_type(PrimitiveType::TYPE_SMALLINT)},
{"col_int", TypeDescriptor::from_primtive_type(PrimitiveType::TYPE_INT)},
{"col_bigint", TypeDescriptor::from_primtive_type(PrimitiveType::TYPE_BIGINT)},
{"col_largeint", TypeDescriptor::from_primtive_type(PrimitiveType::TYPE_BIGINT)},
{"col0_i32p7s2", TypeDescriptor::from_primtive_type(PrimitiveType::TYPE_VARCHAR)},
{"col1_i32p7s2", TypeDescriptor::from_primtive_type(PrimitiveType::TYPE_VARCHAR)},
{"col0_i32p6s3", TypeDescriptor::from_primtive_type(PrimitiveType::TYPE_VARCHAR)},
{"col1_i32p6s3", TypeDescriptor::from_primtive_type(PrimitiveType::TYPE_VARCHAR)},
{"col0_i64p7s2", TypeDescriptor::from_primtive_type(PrimitiveType::TYPE_VARCHAR)},
{"col1_i64p7s2", TypeDescriptor::from_primtive_type(PrimitiveType::TYPE_VARCHAR)},
{"col0_i64p9s5", TypeDescriptor::from_primtive_type(PrimitiveType::TYPE_VARCHAR)},
{"col1_i64p9s5", TypeDescriptor::from_primtive_type(PrimitiveType::TYPE_VARCHAR)},
{"col0_i128p7s2", TypeDescriptor::from_primtive_type(PrimitiveType::TYPE_VARCHAR)},
{"col1_i128p7s2", TypeDescriptor::from_primtive_type(PrimitiveType::TYPE_VARCHAR)},
{"col0_i128p18s9", TypeDescriptor::from_primtive_type(PrimitiveType::TYPE_VARCHAR)},
{"col1_i128p18s9", TypeDescriptor::from_primtive_type(PrimitiveType::TYPE_VARCHAR)},
{"col0_i128p30s9", TypeDescriptor::from_primtive_type(PrimitiveType::TYPE_VARCHAR)},
{"col1_i128p30s9", TypeDescriptor::from_primtive_type(PrimitiveType::TYPE_VARCHAR)},
{"PART_x", TypeDescriptor::from_primtive_type(PrimitiveType::TYPE_INT)},
{"PART_y", TypeDescriptor::from_primtive_type(PrimitiveType::TYPE_INT)},
{""}};
std::string mtypes_orc_file = "./be/test/exec/test_data/orc_scanner/mtypes_100.orc.zlib";
static SlotDesc mtypes_orc_min_max_descs[] = {{"id", TypeDescriptor::from_primtive_type(PrimitiveType::TYPE_BIGINT)},
{"PART_y", TypeDescriptor::from_primtive_type(PrimitiveType::TYPE_INT)},
{""}};
TEST_F(HdfsScannerTest, TestOrcGetNext) {
auto scanner = std::make_shared<HdfsOrcScanner>();
auto* range = _create_scan_range(mtypes_orc_file, 0, 0);
auto* tuple_desc = _create_tuple_desc(mtypes_orc_descs);
auto* param = _create_param(mtypes_orc_file, range, tuple_desc);
// partition values for [PART_x, PART_y]
std::vector<int64_t> values = {10, 20};
extend_partition_values(&_pool, param, values);
Status status = scanner->init(_runtime_state, *param);
EXPECT_TRUE(status.ok());
status = scanner->open(_runtime_state);
EXPECT_TRUE(status.ok());
READ_SCANNER_ROWS(scanner, 100);
EXPECT_EQ(scanner->raw_rows_read(), 100);
scanner->close(_runtime_state);
}
static void extend_mtypes_orc_min_max_conjuncts(ObjectPool* pool, HdfsScannerParams* params,
const std::vector<int>& values) {
TupleDescriptor* min_max_tuple_desc = params->min_max_tuple_desc;
// id >= values[0] && id <= values[1] && part_y >= values[2] && part_y <= values[3]
// id min/max = 2629/5212
// so there should be no row matched.
{
std::vector<TExprNode> nodes;
TExprNode lit_node = create_int_literal_node(TPrimitiveType::BIGINT, values[0]);
push_binary_pred_texpr_node(nodes, TExprOpcode::GE, min_max_tuple_desc->slots()[0], TPrimitiveType::BIGINT,
lit_node);
ExprContext* ctx = create_expr_context(pool, nodes);
params->min_max_conjunct_ctxs.push_back(ctx);
}
{
std::vector<TExprNode> nodes;
TExprNode lit_node = create_int_literal_node(TPrimitiveType::BIGINT, values[1]);
push_binary_pred_texpr_node(nodes, TExprOpcode::LE, min_max_tuple_desc->slots()[0], TPrimitiveType::BIGINT,
lit_node);
ExprContext* ctx = create_expr_context(pool, nodes);
params->min_max_conjunct_ctxs.push_back(ctx);
}
// PART_Y is always 20
// to test capability to read non-file column from partition column
{
std::vector<TExprNode> nodes;
TExprNode lit_node = create_int_literal_node(TPrimitiveType::INT, values[2]);
push_binary_pred_texpr_node(nodes, TExprOpcode::GE, min_max_tuple_desc->slots()[1], TPrimitiveType::INT,
lit_node);
ExprContext* ctx = create_expr_context(pool, nodes);
params->min_max_conjunct_ctxs.push_back(ctx);
}
{
std::vector<TExprNode> nodes;
TExprNode lit_node = create_int_literal_node(TPrimitiveType::INT, values[3]);
push_binary_pred_texpr_node(nodes, TExprOpcode::LE, min_max_tuple_desc->slots()[1], TPrimitiveType::INT,
lit_node);
ExprContext* ctx = create_expr_context(pool, nodes);
params->min_max_conjunct_ctxs.push_back(ctx);
}
}
TEST_F(HdfsScannerTest, TestOrcGetNextWithMinMaxFilterNoRows) {
auto scanner = std::make_shared<HdfsOrcScanner>();
auto* range = _create_scan_range(mtypes_orc_file, 0, 0);
auto* tuple_desc = _create_tuple_desc(mtypes_orc_descs);
auto* param = _create_param(mtypes_orc_file, range, tuple_desc);
// partition values for [PART_x, PART_y]
std::vector<int64_t> values = {10, 20};
extend_partition_values(&_pool, param, values);
auto* min_max_tuple_desc = _create_tuple_desc(mtypes_orc_min_max_descs);
param->min_max_tuple_desc = min_max_tuple_desc;
// id min/max = 2629/5212, PART_Y min/max=20/20
std::vector<int> thres = {20, 30, 20, 20};
extend_mtypes_orc_min_max_conjuncts(&_pool, param, thres);
Expr::prepare(param->min_max_conjunct_ctxs, _runtime_state);
Expr::open(param->min_max_conjunct_ctxs, _runtime_state);
Status status = scanner->init(_runtime_state, *param);
EXPECT_TRUE(status.ok());
status = scanner->open(_runtime_state);
EXPECT_TRUE(status.ok());
READ_SCANNER_ROWS(scanner, 0);
EXPECT_EQ(scanner->raw_rows_read(), 0);
scanner->close(_runtime_state);
}
TEST_F(HdfsScannerTest, TestOrcGetNextWithMinMaxFilterRows1) {
auto scanner = std::make_shared<HdfsOrcScanner>();
auto* range = _create_scan_range(mtypes_orc_file, 0, 0);
auto* tuple_desc = _create_tuple_desc(mtypes_orc_descs);
auto* param = _create_param(mtypes_orc_file, range, tuple_desc);
// partition values for [PART_x, PART_y]
std::vector<int64_t> values = {10, 20};
extend_partition_values(&_pool, param, values);
auto* min_max_tuple_desc = _create_tuple_desc(mtypes_orc_min_max_descs);
param->min_max_tuple_desc = min_max_tuple_desc;
// id min/max = 2629/5212, PART_Y min/max=20/20
std::vector<int> thres = {2000, 5000, 20, 20};
extend_mtypes_orc_min_max_conjuncts(&_pool, param, thres);
Expr::prepare(param->min_max_conjunct_ctxs, _runtime_state);
Expr::open(param->min_max_conjunct_ctxs, _runtime_state);
Status status = scanner->init(_runtime_state, *param);
EXPECT_TRUE(status.ok());
status = scanner->open(_runtime_state);
EXPECT_TRUE(status.ok());
READ_SCANNER_ROWS(scanner, 100);
EXPECT_EQ(scanner->raw_rows_read(), 100);
scanner->close(_runtime_state);
}
TEST_F(HdfsScannerTest, TestOrcGetNextWithMinMaxFilterRows2) {
auto scanner = std::make_shared<HdfsOrcScanner>();
auto* range = _create_scan_range(mtypes_orc_file, 0, 0);
auto* tuple_desc = _create_tuple_desc(mtypes_orc_descs);
auto* param = _create_param(mtypes_orc_file, range, tuple_desc);
// partition values for [PART_x, PART_y]
std::vector<int64_t> values = {10, 20};
extend_partition_values(&_pool, param, values);
auto* min_max_tuple_desc = _create_tuple_desc(mtypes_orc_min_max_descs);
param->min_max_tuple_desc = min_max_tuple_desc;
// id min/max = 2629/5212, PART_Y min/max=20/20
std::vector<int> thres = {3000, 10000, 20, 20};
extend_mtypes_orc_min_max_conjuncts(&_pool, param, thres);
Expr::prepare(param->min_max_conjunct_ctxs, _runtime_state);
Expr::open(param->min_max_conjunct_ctxs, _runtime_state);
Status status = scanner->init(_runtime_state, *param);
EXPECT_TRUE(status.ok());
status = scanner->open(_runtime_state);
EXPECT_TRUE(status.ok());
READ_SCANNER_ROWS(scanner, 100);
EXPECT_EQ(scanner->raw_rows_read(), 100);
scanner->close(_runtime_state);
}
// ====================================================================================================
/**
File be/test/exec/test_data/orc_scanner/string_key_value_10k.orc.zstd has 2 stripes
*** Stripe 0 ***
--- Column 0 ---
Column has 5120 values and has null value: no
--- Column 1 ---
Data type: String
Values: 5120
Has null: no
Minimum: aaaaaaaaaa
Maximum: ffffffffff
Total length: 51200
*** Stripe 1 ***
--- Column 0 ---
Column has 4880 values and has null value: no
--- Column 1 ---
Data type: String
Values: 4880
Has null: no
Minimum: ffffffffff
Maximum: jjjjjjjjjj
Total length: 48800
*/
TEST_F(HdfsScannerTest, TestOrcGetNextWithDictFilter) {
SlotDesc string_key_value_orc_desc[] = {{"key", TypeDescriptor::from_primtive_type(PrimitiveType::TYPE_VARCHAR)},
{"value", TypeDescriptor::from_primtive_type(PrimitiveType::TYPE_VARCHAR)},
{""}};
const std::string string_key_value_orc_file = "./be/test/exec/test_data/orc_scanner/string_key_value_10k.orc.zstd";
auto scanner = std::make_shared<HdfsOrcScanner>();
auto* range = _create_scan_range(string_key_value_orc_file, 0, 0);
auto* tuple_desc = _create_tuple_desc(string_key_value_orc_desc);
auto* param = _create_param(string_key_value_orc_file, range, tuple_desc);
// all in stripe1
// and there are 1000 occurrences.
// but we will read 4880 rows.
// key = "gggggggg"
{
std::vector<TExprNode> nodes;
TExprNode lit_node = create_string_literal_node(TPrimitiveType::VARCHAR, "gggggggggg");
push_binary_pred_texpr_node(nodes, TExprOpcode::EQ, tuple_desc->slots()[0], TPrimitiveType::VARCHAR, lit_node);
ExprContext* ctx = create_expr_context(&_pool, nodes);
std::cout << "equal expr = " << ctx->root()->debug_string() << std::endl;
param->conjunct_ctxs_by_slot[0].push_back(ctx);
}
for (auto& it : param->conjunct_ctxs_by_slot) {
for (auto& it2 : it.second) {
ExprContext* ctx = it2;
ctx->prepare(_runtime_state);
ctx->open(_runtime_state);
}
}
Status status = scanner->init(_runtime_state, *param);
EXPECT_TRUE(status.ok());
for (auto& it : param->conjunct_ctxs_by_slot) {
for (auto& it2 : it.second) {
it2->close(_runtime_state);
}
}
// so stripe will not be filtered out by search argument
// and we can test dict-filtering strategy.
scanner->disable_use_orc_sargs();
status = scanner->open(_runtime_state);
EXPECT_TRUE(status.ok());
READ_SCANNER_ROWS(scanner, 1000);
// since we use dict filter eval cache, we can do filter on orc cvb
// so actually read rows is 1000.
EXPECT_EQ(scanner->raw_rows_read(), 1000);
scanner->close(_runtime_state);
}
// ====================================================================================================
/**
*
datetime are all in UTC timezone.
File Version: 0.12 with ORC_CPP_ORIGINAL
Rows: 20000
Compression: ZLIB
Compression size: 65536
Calendar: Julian/Gregorian
Type: struct<c0:timestamp,c1:varchar(60)>
Stripe Statistics:
Stripe 1:
Column 0: count: 5120 hasNull: false
Column 1: count: 5120 hasNull: false min: 2021-05-25 04:43:22.941 max: 2021-05-25 06:08:41.941999999
Column 2: count: 5120 hasNull: false min: aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa max: aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa sum: 307200
Stripe 2:
Column 0: count: 5120 hasNull: false
Column 1: count: 5120 hasNull: false min: 2021-05-25 06:08:42.941 max: 2021-05-25 07:34:01.941999999
Column 2: count: 5120 hasNull: false min: aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa max: aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa sum: 307200
Stripe 3:
Column 0: count: 5120 hasNull: false
Column 1: count: 5120 hasNull: false min: 2021-05-25 07:34:02.941 max: 2021-05-25 08:59:21.941999999
Column 2: count: 5120 hasNull: false min: aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa max: aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa sum: 307200
Stripe 4:
Column 0: count: 4640 hasNull: false
Column 1: count: 4640 hasNull: false min: 2021-05-25 08:59:22.941 max: 2021-05-25 10:16:41.941999999
Column 2: count: 4640 hasNull: false min: aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa max: aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa sum: 278400
File Statistics:
Column 0: count: 20000 hasNull: false
Column 1: count: 20000 hasNull: false min: 2021-05-25 04:43:22.941 max: 2021-05-25 10:16:41.941999999
Column 2: count: 20000 hasNull: false min: aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa max: aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa sum: 1200000
Stripes:
....
// last stripe. Stripe4
Stripe: offset: 5105 data: 1423 rows: 4640 tail: 71 index: 89 timezone: GMT
Stream: column 0 section ROW_INDEX start: 5105 length 18
Stream: column 1 section ROW_INDEX start: 5123 length 35
Stream: column 2 section ROW_INDEX start: 5158 length 36
Stream: column 0 section PRESENT start: 5194 length 11
Stream: column 1 section PRESENT start: 5205 length 11
Stream: column 1 section DATA start: 5216 length 46
Stream: column 1 section SECONDARY start: 5262 length 19
Stream: column 2 section PRESENT start: 5281 length 11
Stream: column 2 section LENGTH start: 5292 length 16
Stream: column 2 section DATA start: 5308 length 1309
Encoding column 0: DIRECT
Encoding column 1: DIRECT_V2
Encoding column 2: DIRECT_V2
*/
TEST_F(HdfsScannerTest, TestOrcGetNextWithDatetimeMinMaxFilter) {
SlotDesc datetime_orc_descs[] = {{"c0", TypeDescriptor::from_primtive_type(PrimitiveType::TYPE_DATETIME)}, {""}};
const std::string datetime_orc_file = "./be/test/exec/test_data/orc_scanner/datetime_20k.orc.zlib";
_create_runtime_state("GMT");
auto scanner = std::make_shared<HdfsOrcScanner>();
auto* range = _create_scan_range(datetime_orc_file, 0, 0);
auto* tuple_desc = _create_tuple_desc(datetime_orc_descs);
auto* param = _create_param(datetime_orc_file, range, tuple_desc);
param->min_max_tuple_desc = tuple_desc;
TupleDescriptor* min_max_tuple_desc = param->min_max_tuple_desc;
// expect c0 >= '2021-05-25 08:59:22'
// which means only stripe3 matches, and all rows in stripe3 matches.
{
std::vector<TExprNode> nodes;
TExprNode lit_node = create_datetime_literal_node(TPrimitiveType::DATETIME, "2021-05-25 08:59:22");
push_binary_pred_texpr_node(nodes, TExprOpcode::GE, min_max_tuple_desc->slots()[0], TPrimitiveType::DATETIME,
lit_node);
ExprContext* ctx = create_expr_context(&_pool, nodes);
param->min_max_conjunct_ctxs.push_back(ctx);
}
Expr::prepare(param->min_max_conjunct_ctxs, _runtime_state);
Expr::open(param->min_max_conjunct_ctxs, _runtime_state);
Status status = scanner->init(_runtime_state, *param);
EXPECT_TRUE(status.ok());
scanner->disable_use_orc_sargs();
status = scanner->open(_runtime_state);
EXPECT_TRUE(status.ok());
READ_SCANNER_ROWS(scanner, 4640);
EXPECT_EQ(scanner->raw_rows_read(), 4640);
scanner->close(_runtime_state);
}
// ====================================================================================================
/**
Type: struct<c0:char(100),c1:varchar(100)>
Stripe Statistics:
Stripe 1:
Column 0: count: 1024 hasNull: false
Column 1: count: 1024 hasNull: false min: hello max: world sum: 102400
Column 2: count: 1024 hasNull: false min: hello max: world sum: 5120
Stripe 2:
Column 0: count: 976 hasNull: false
Column 1: count: 976 hasNull: false min: hello max: world sum: 97600
Column 2: count: 976 hasNull: false min: hello max: world sum: 4880
File Statistics:
Column 0: count: 2000 hasNull: false
Column 1: count: 2000 hasNull: false min: hello max: world sum: 200000
Column 2: count: 2000 hasNull: false min: hello max: world sum: 10000
Stripes:
Stripe: offset: 3 data: 88 rows: 1024 tail: 75 index: 103
Stream: column 0 section ROW_INDEX start: 3 length 18
Stream: column 1 section ROW_INDEX start: 21 length 48
Stream: column 2 section ROW_INDEX start: 69 length 37
Stream: column 0 section PRESENT start: 106 length 5
Stream: column 1 section PRESENT start: 111 length 5
Stream: column 1 section DATA start: 116 length 13
Stream: column 1 section DICTIONARY_DATA start: 129 length 21
Stream: column 1 section LENGTH start: 150 length 7
Stream: column 2 section PRESENT start: 157 length 5
Stream: column 2 section DATA start: 162 length 13
Stream: column 2 section DICTIONARY_DATA start: 175 length 13
Stream: column 2 section LENGTH start: 188 length 6
Encoding column 0: DIRECT
Encoding column 1: DICTIONARY_V2[2]
Encoding column 2: DICTIONARY_V2[2]
Stripe: offset: 269 data: 90 rows: 976 tail: 77 index: 103
Stream: column 0 section ROW_INDEX start: 269 length 18
Stream: column 1 section ROW_INDEX start: 287 length 48
Stream: column 2 section ROW_INDEX start: 335 length 37
Stream: column 0 section PRESENT start: 372 length 5
Stream: column 1 section PRESENT start: 377 length 5
Stream: column 1 section DATA start: 382 length 14
Stream: column 1 section DICTIONARY_DATA start: 396 length 21
Stream: column 1 section LENGTH start: 417 length 7
Stream: column 2 section PRESENT start: 424 length 5
Stream: column 2 section DATA start: 429 length 14
Stream: column 2 section DICTIONARY_DATA start: 443 length 13
Stream: column 2 section LENGTH start: 456 length 6
Encoding column 0: DIRECT
Encoding column 1: DICTIONARY_V2[2]
Encoding column 2: DICTIONARY_V2[2]
File length: 799 bytes
Padding length: 0 bytes
Padding ratio: 0%
*/
TEST_F(HdfsScannerTest, TestOrcGetNextWithPaddingCharDictFilter) {
SlotDesc padding_char_varchar_desc[] = {{"c0", TypeDescriptor::from_primtive_type(PrimitiveType::TYPE_CHAR)},
{"c1", TypeDescriptor::from_primtive_type(PrimitiveType::TYPE_VARCHAR)},
{""}};
const std::string padding_char_varchar_orc_file =
"./be/test/exec/test_data/orc_scanner/padding_char_varchar_10k.orc";
auto scanner = std::make_shared<HdfsOrcScanner>();
auto* range = _create_scan_range(padding_char_varchar_orc_file, 0, 0);
auto* tuple_desc = _create_tuple_desc(padding_char_varchar_desc);
auto* param = _create_param(padding_char_varchar_orc_file, range, tuple_desc);
// c0 <= "hello"
// and we expect we can strip of ' ' in dictionary data.
// so return 2000 rows.
{
std::vector<TExprNode> nodes;
TExprNode lit_node = create_string_literal_node(TPrimitiveType::VARCHAR, "hello");
push_binary_pred_texpr_node(nodes, TExprOpcode::LE, tuple_desc->slots()[0], TPrimitiveType::VARCHAR, lit_node);
ExprContext* ctx = create_expr_context(&_pool, nodes);
std::cout << "less&eq expr = " << ctx->root()->debug_string() << std::endl;
param->conjunct_ctxs_by_slot[0].push_back(ctx);
}
for (auto& it : param->conjunct_ctxs_by_slot) {
for (auto& it2 : it.second) {
ExprContext* ctx = it2;
ctx->prepare(_runtime_state);
ctx->open(_runtime_state);
}
}
Status status = scanner->init(_runtime_state, *param);
EXPECT_TRUE(status.ok());
for (auto& it : param->conjunct_ctxs_by_slot) {
for (auto& it2 : it.second) {
it2->close(_runtime_state);
}
}
// so stripe will not be filtered out by search argument
// and we can test dict-filtering strategy.
scanner->disable_use_orc_sargs();
status = scanner->open(_runtime_state);
EXPECT_TRUE(status.ok());
READ_SCANNER_ROWS(scanner, 1000);
// since we use dict filter eval cache, we can do filter on orc cvb
// so actually read rows is 1000.
EXPECT_EQ(scanner->raw_rows_read(), 1000);
scanner->close(_runtime_state);
}
// ====================================================================================================
/*
Structure for writer_tz_shanghai.orc
File Version: 0.12 with ORC_14 by ORC Java 1.8.0-SNAPSHOT
Rows: 1
Compression: ZLIB
Compression size: 262144
Calendar: Julian/Gregorian
Type: struct<c0:timestamp,c1:date>
Stripe Statistics:
Stripe 1:
Column 0: count: 1 hasNull: false
Column 1: count: 1 hasNull: false bytesOnDisk: 15 min: 2022-04-09 07:13:00.0 max: 2022-04-09 07:13:00.0 raw: min=0, min-utc=1649488380000, max=0, max-utc=1649488380000
Column 2: count: 1 hasNull: false bytesOnDisk: 7 min: Hybrid AD 2022-04-09 max: Hybrid AD 2022-04-09
File Statistics:
Column 0: count: 1 hasNull: false
Column 1: count: 1 hasNull: false bytesOnDisk: 15 min: 2022-04-09 07:13:00.0 max: 2022-04-09 07:13:00.0 raw: min=0, min-utc=1649488380000, max=0, max-utc=1649488380000
Column 2: count: 1 hasNull: false bytesOnDisk: 7 min: Hybrid AD 2022-04-09 max: Hybrid AD 2022-04-09
Stripes:
Stripe: offset: 3 data: 22 rows: 1 tail: 61 index: 68 timezone: Asia/Shanghai
{"c0":"2022-04-09 07:13:00.0","c1":"2022-04-09"}
*/
/*
Structure for writer_tz_utc.orc
File Version: 0.12 with ORC_14 by ORC Java 1.8.0-SNAPSHOT
Rows: 1
Compression: ZLIB
Compression size: 262144
Calendar: Julian/Gregorian
Type: struct<c0:timestamp,c1:date>
Stripe Statistics:
Stripe 1:
Column 0: count: 1 hasNull: false
Column 1: count: 1 hasNull: false bytesOnDisk: 15 min: 2022-04-09 07:13:00.0 max: 2022-04-09 07:13:00.0 raw: min=0, min-utc=1649488380000, max=0, max-utc=1649488380000
Column 2: count: 1 hasNull: false bytesOnDisk: 7 min: Hybrid AD 2022-04-09 max: Hybrid AD 2022-04-09
File Statistics:
Column 0: count: 1 hasNull: false
Column 1: count: 1 hasNull: false bytesOnDisk: 15 min: 2022-04-09 07:13:00.0 max: 2022-04-09 07:13:00.0 raw: min=0, min-utc=1649488380000, max=0, max-utc=1649488380000
Column 2: count: 1 hasNull: false bytesOnDisk: 7 min: Hybrid AD 2022-04-09 max: Hybrid AD 2022-04-09
Stripes:
Stripe: offset: 3 data: 22 rows: 1 tail: 51 index: 68 timezone: UTC
{"c0":"2022-04-09 07:13:00.0","c1":"2022-04-09"}
*/
TEST_F(HdfsScannerTest, DecodeMinMaxDateTime) {
SlotDesc timezone_datetime_slot_descs[] = {{"c0", TypeDescriptor::from_primtive_type(PrimitiveType::TYPE_DATETIME)},
{"c1", TypeDescriptor::from_primtive_type(PrimitiveType::TYPE_DATE)},
{""}};
const std::string timzone_datetime_shanghai_orc_file =
"./be/test/exec/test_data/orc_scanner/writer_tz_shanghai.orc";
const std::string timzone_datetime_utc_orc_file = "./be/test/exec/test_data/orc_scanner/writer_tz_utc.orc";
struct Case {
std::string file;
std::string literal;
std::string query_timezone;
int exp;
};
std::vector<Case> cases = {
{timzone_datetime_shanghai_orc_file, "2022-04-09 07:13:00", "Asia/Shanghai", 1},
{timzone_datetime_shanghai_orc_file, "2022-04-09 07:13:00", "UTC", 0},
{timzone_datetime_shanghai_orc_file, "2022-04-08 23:13:00", "UTC", 1},
{timzone_datetime_utc_orc_file, "2022-04-09 07:13:00", "Asia/Shanghai", 0},
{timzone_datetime_utc_orc_file, "2022-04-09 15:13:00", "Asia/Shanghai", 1},
{timzone_datetime_utc_orc_file, "2022-04-09 07:13:00", "UTC", 1},
};
for (const Case& c : cases) {
_create_runtime_state(c.query_timezone);
std::cout << "Query in timezone = " << _runtime_state->timezone() << std::endl;
auto* range = _create_scan_range(c.file, 0, 0);
auto* tuple_desc = _create_tuple_desc(timezone_datetime_slot_descs);
auto* param = _create_param(c.file, range, tuple_desc);
param->min_max_tuple_desc = tuple_desc;
TupleDescriptor* min_max_tuple_desc = param->min_max_tuple_desc;
{
std::vector<TExprNode> nodes;
TExprNode lit_node = create_datetime_literal_node(TPrimitiveType::DATETIME, c.literal);
push_binary_pred_texpr_node(nodes, TExprOpcode::EQ, min_max_tuple_desc->slots()[0],
TPrimitiveType::DATETIME, lit_node);
ExprContext* ctx = create_expr_context(&_pool, nodes);
param->min_max_conjunct_ctxs.push_back(ctx);
}
Expr::prepare(param->min_max_conjunct_ctxs, _runtime_state);
Expr::open(param->min_max_conjunct_ctxs, _runtime_state);
auto scanner = std::make_shared<HdfsOrcScanner>();
Status status = scanner->init(_runtime_state, *param);
EXPECT_TRUE(status.ok());
scanner->disable_use_orc_sargs();
status = scanner->open(_runtime_state);
EXPECT_TRUE(status.ok()) << status.to_string();
READ_SCANNER_ROWS(scanner, c.exp);
scanner->close(_runtime_state);
}
}
// ====================================================================================================
/**
* Processing data file 00000-26-85109feb-fc85-4ad2-9a97-4102e245220d-00001.orc [length: 1109]
Structure for 00000-26-85109feb-fc85-4ad2-9a97-4102e245220d-00001.orc
File Version: 0.12 with ORC_14 by ORC Java
Rows: 1
Compression: ZLIB
Compression size: 262144
Calendar: Julian/Gregorian
Type: struct<col_boolean:boolean,col_int:int,col_long:bigint,col_float:float,col_double:double,col_decimal:decimal(38,18),col_date:date,col_timestamp:timestamp with local time zone,col_string:string,col_binary:binary,col_struct:struct<a:string,b:int>,col_map:map<string,int *
Stripes:
Stripe: offset: 3 data: 60 rows: 1 tail: 160 index: 338
Stream: column 0 section ROW_INDEX start: 3 length 11
Stream: column 1 section ROW_INDEX start: 14 length 22
Stream: column 2 section ROW_INDEX start: 36 length 21
Stream: column 3 section ROW_INDEX start: 57 length 21
Stream: column 4 section ROW_INDEX start: 78 length 24
Stream: column 5 section ROW_INDEX start: 102 length 24
Stream: column 6 section ROW_INDEX start: 126 length 22
Stream: column 7 section ROW_INDEX start: 148 length 19
Stream: column 8 section ROW_INDEX start: 167 length 19
Stream: column 9 section ROW_INDEX start: 186 length 19
Stream: column 10 section ROW_INDEX start: 205 length 21
Stream: column 11 section ROW_INDEX start: 226 length 17
Stream: column 12 section ROW_INDEX start: 243 length 18
Stream: column 13 section ROW_INDEX start: 261 length 20
Stream: column 14 section ROW_INDEX start: 281 length 22
Stream: column 15 section ROW_INDEX start: 303 length 18
Stream: column 16 section ROW_INDEX start: 321 length 20
Stream: column 1 section PRESENT start: 341 length 5
Stream: column 1 section DATA start: 346 length 0
Stream: column 2 section PRESENT start: 346 length 5
Stream: column 2 section DATA start: 351 length 0
Stream: column 3 section PRESENT start: 351 length 5
Stream: column 3 section DATA start: 356 length 0
Stream: column 4 section PRESENT start: 356 length 5
Stream: column 4 section DATA start: 361 length 0
Stream: column 5 section PRESENT start: 361 length 5
Stream: column 5 section DATA start: 366 length 0
Stream: column 6 section PRESENT start: 366 length 5
Stream: column 6 section DATA start: 371 length 0
Stream: column 6 section SECONDARY start: 371 length 0
Stream: column 7 section PRESENT start: 371 length 5
Stream: column 7 section DATA start: 376 length 0
Stream: column 8 section PRESENT start: 376 length 5
Stream: column 8 section DATA start: 381 length 0
Stream: column 8 section SECONDARY start: 381 length 0
Stream: column 9 section PRESENT start: 381 length 5
Stream: column 9 section DATA start: 386 length 0
Stream: column 9 section LENGTH start: 386 length 0
Stream: column 9 section DICTIONARY_DATA start: 386 length 0
Stream: column 10 section PRESENT start: 386 length 5
Stream: column 10 section DATA start: 391 length 0
Stream: column 10 section LENGTH start: 391 length 0
Stream: column 11 section PRESENT start: 391 length 5
Stream: column 12 section DATA start: 396 length 0
Stream: column 12 section LENGTH start: 396 length 0
Stream: column 12 section DICTIONARY_DATA start: 396 length 0
Stream: column 13 section DATA start: 396 length 0
Stream: column 14 section PRESENT start: 396 length 5
Stream: column 14 section LENGTH start: 401 length 0
Stream: column 15 section DATA start: 401 length 0
Stream: column 15 section LENGTH start: 401 length 0
Stream: column 15 section DICTIONARY_DATA start: 401 length 0
Stream: column 16 section DATA start: 401 length 0
*/
TEST_F(HdfsScannerTest, TestZeroSizeStream) {
SlotDesc slot_descs[] = {{"col_boolean", TypeDescriptor::from_primtive_type(PrimitiveType::TYPE_BOOLEAN)},
{"col_int", TypeDescriptor::from_primtive_type(PrimitiveType::TYPE_INT)},
{"col_long", TypeDescriptor::from_primtive_type(PrimitiveType::TYPE_BIGINT)},
{"col_float", TypeDescriptor::from_primtive_type(PrimitiveType::TYPE_FLOAT)},
{"col_double", TypeDescriptor::from_primtive_type(PrimitiveType::TYPE_DOUBLE)},
{"col_date", TypeDescriptor::from_primtive_type(PrimitiveType::TYPE_DATE)},
{"col_timestamp", TypeDescriptor::from_primtive_type(PrimitiveType::TYPE_DATETIME)},
{"col_string", TypeDescriptor::from_primtive_type(PrimitiveType::TYPE_VARCHAR)},
{"col_binary", TypeDescriptor::from_primtive_type(PrimitiveType::TYPE_VARCHAR)},
{""}};
const std::string input_orc_file = "./be/test/exec/test_data/orc_scanner/orc_zero_size_stream.orc";
auto scanner = std::make_shared<HdfsOrcScanner>();
auto* range = _create_scan_range(input_orc_file, 0, 0);
auto* tuple_desc = _create_tuple_desc(slot_descs);
auto* param = _create_param(input_orc_file, range, tuple_desc);
Status status = scanner->init(_runtime_state, *param);
ASSERT_TRUE(status.ok());
status = scanner->open(_runtime_state);
EXPECT_TRUE(status.ok());
READ_SCANNER_ROWS(scanner, 1);
EXPECT_EQ(scanner->raw_rows_read(), 1);
scanner->close(_runtime_state);
}
// =============================================================================