19 #include "../Execute.h"
20 #include "../ExpressionRewrite.h"
21 #include "../GroupByAndAggregate.h"
22 #include "../StreamingTopN.h"
23 #include "../UsedColumnsVisitor.h"
26 #include <boost/algorithm/cxx11/any_of.hpp>
46 const std::list<std::shared_ptr<Analyzer::Expr>>& groupby_exprs,
47 const std::vector<Analyzer::Expr*>& target_exprs) {
48 std::vector<int64_t> indices(target_exprs.size(), -1);
49 for (
size_t target_idx = 0; target_idx < target_exprs.size(); ++target_idx) {
50 const auto target_expr = target_exprs[target_idx];
51 if (dynamic_cast<const Analyzer::AggExpr*>(target_expr)) {
54 const auto var_expr =
dynamic_cast<const Analyzer::Var*
>(target_expr);
56 indices[target_idx] = var_expr->
get_varno() - 1;
68 std::vector<int64_t> target_indices(ra_exe_unit.
target_exprs.size(), -1);
70 std::unordered_set<int> used_columns;
71 for (
const auto& simple_qual : ra_exe_unit.
simple_quals) {
72 const auto crt_used_columns = columns_visitor.
visit(simple_qual.get());
73 used_columns.insert(crt_used_columns.begin(), crt_used_columns.end());
75 for (
const auto& qual : ra_exe_unit.
quals) {
76 const auto crt_used_columns = columns_visitor.visit(qual.get());
77 used_columns.insert(crt_used_columns.begin(), crt_used_columns.end());
83 if (!cd || !cd->isVirtualCol) {
87 const auto crt_used_columns = columns_visitor.visit(target);
88 used_columns.insert(crt_used_columns.begin(), crt_used_columns.end());
90 for (
size_t target_idx = 0; target_idx < ra_exe_unit.
target_exprs.size();
92 const auto target_expr = ra_exe_unit.
target_exprs[target_idx];
94 const auto& ti = target_expr->get_type_info();
103 if (!ti.is_varlen() &&
104 used_columns.find(col_var->getColumnKey().column_id) == used_columns.end()) {
108 target_indices[target_idx] = 0;
111 return target_indices;
115 const size_t group_col_width) {
117 return sizeof(int64_t);
121 if (group_col_width ==
sizeof(int64_t) && range.
hasNulls()) {
122 return sizeof(int64_t);
127 return sizeof(int64_t);
131 return sizeof(int64_t);
136 const std::vector<InputTableInfo>& query_infos,
137 const Executor* executor) {
138 int8_t compact_width{4};
140 const auto expr_range =
getExpressionRange(groupby_expr.get(), query_infos, executor);
141 compact_width = std::max(compact_width,
143 expr_range, groupby_expr->get_type_info().get_size()));
145 return compact_width;
149 const bool output_columnar) {
154 for (
const auto target_expr : ra_exe_unit.
target_exprs) {
155 if (dynamic_cast<const Analyzer::AggExpr*>(target_expr)) {
158 if (dynamic_cast<const Analyzer::WindowFunction*>(target_expr)) {
168 CHECK_GT(only_order_entry.tle_no,
int(0));
169 CHECK_LE(static_cast<size_t>(only_order_entry.tle_no),
171 const auto order_entry_expr = ra_exe_unit.
target_exprs[only_order_entry.tle_no - 1];
173 if ((order_entry_expr->get_type_info().is_number() ||
174 order_entry_expr->get_type_info().is_time()) &&
185 std::vector<int8_t> col_widths;
186 size_t col_expr_idx = 0;
187 for (
const auto& col_expr : col_expr_list) {
190 col_widths.push_back(
sizeof(int64_t));
193 if constexpr (std::is_same<
T, std::list<std::shared_ptr<Analyzer::Expr>>>::value) {
202 col_widths.push_back(
sizeof(int64_t));
208 if ((chosen_type.is_string() && chosen_type.get_compression() ==
kENCODING_NONE) ||
209 chosen_type.is_array()) {
210 col_widths.push_back(
sizeof(int64_t));
211 col_widths.push_back(
sizeof(int64_t));
215 if (chosen_type.is_geometry()) {
216 for (
auto i = 0; i < chosen_type.get_physical_coord_cols(); ++i) {
217 col_widths.push_back(
sizeof(int64_t));
218 col_widths.push_back(
sizeof(int64_t));
224 CHECK_EQ(
size_t(0), col_expr_bitwidth % 8);
225 col_widths.push_back(static_cast<int8_t>(col_expr_bitwidth >> 3));
227 if (agg_info.agg_kind ==
kAVG) {
228 CHECK(agg_info.is_agg);
229 col_widths.push_back(
sizeof(int64_t));
240 const Executor* executor,
242 const std::vector<InputTableInfo>& query_infos,
245 const bool allow_multifrag,
247 const int8_t crt_min_byte_width,
248 const bool sort_on_gpu_hint,
249 const size_t shard_count,
250 const size_t max_groups_buffer_entry_count,
253 const bool must_use_baseline_sort,
254 const bool output_columnar_hint,
255 const bool streaming_top_n_hint) {
257 const bool is_group_by{!group_col_widths.empty()};
262 ra_exe_unit, query_infos, crt_min_byte_width);
264 col_slot_context.setAllSlotsPaddedSize(min_slot_size);
265 col_slot_context.validate();
268 CHECK(!must_use_baseline_sort);
270 return std::make_unique<QueryMemoryDescriptor>(
285 std::vector<int8_t>{},
287 std::vector<int64_t>{},
289 count_distinct_descriptors,
291 output_columnar_hint,
292 render_info && render_info->isInSitu(),
293 must_use_baseline_sort,
297 size_t entry_count = 1;
298 auto actual_col_range_info = col_range_info;
299 bool interleaved_bins_on_gpu =
false;
300 bool keyless_hash =
false;
301 bool streaming_top_n =
false;
302 int8_t group_col_compact_width = 0;
303 int32_t idx_target_as_key = -1;
304 auto output_columnar = output_columnar_hint;
305 std::vector<int64_t> target_groupby_indices;
307 switch (col_range_info.hash_type_) {
312 render_info->setNonInSitu();
317 (!sort_on_gpu_hint ||
319 col_range_info.max, col_range_info.min, col_range_info.bucket)) &&
320 !col_range_info.bucket && !must_use_baseline_sort && keyless_info.keyless;
324 idx_target_as_key = keyless_info.target_index;
326 if (group_col_widths.size() > 1) {
328 entry_count =
static_cast<size_t>(actual_col_range_info.max);
329 actual_col_range_info.bucket = 0;
332 entry_count = std::max(
334 const size_t interleaved_max_threshold{512};
336 if (must_use_baseline_sort) {
338 ra_exe_unit.target_exprs);
343 bool has_varlen_sample_agg =
false;
344 for (
const auto& target_expr : ra_exe_unit.target_exprs) {
345 if (target_expr->get_contains_agg()) {
348 if (agg_expr->get_aggtype() ==
kSAMPLE &&
349 agg_expr->get_type_info().is_varlen()) {
350 has_varlen_sample_agg =
true;
356 interleaved_bins_on_gpu = keyless_hash && !has_varlen_sample_agg &&
357 (entry_count <= interleaved_max_threshold) &&
360 count_distinct_descriptors) &&
369 render_info->setNonInSitu();
371 entry_count = shard_count
372 ? (max_groups_buffer_entry_count + shard_count - 1) / shard_count
373 : max_groups_buffer_entry_count;
375 ra_exe_unit.target_exprs);
376 col_slot_context =
ColSlotContext(ra_exe_unit.target_exprs, target_groupby_indices);
378 group_col_compact_width =
382 actual_col_range_info =
387 CHECK(!must_use_baseline_sort);
390 streaming_top_n =
true;
391 entry_count = ra_exe_unit.sort_info.offset + ra_exe_unit.sort_info.limit;
393 if (ra_exe_unit.use_bump_allocator) {
394 output_columnar =
false;
397 entry_count = ra_exe_unit.scan_limit
398 ?
static_cast<size_t>(ra_exe_unit.scan_limit)
399 : max_groups_buffer_entry_count;
403 target_groupby_indices = executor->plan_state_->allow_lazy_fetch_
405 : std::vector<int64_t>{};
407 col_slot_context =
ColSlotContext(ra_exe_unit.target_exprs, target_groupby_indices);
414 return std::make_unique<QueryMemoryDescriptor>(executor,
419 interleaved_bins_on_gpu,
421 actual_col_range_info,
424 group_col_compact_width,
425 target_groupby_indices,
427 count_distinct_descriptors,
430 render_info && render_info->isInSitu(),
431 must_use_baseline_sort,
436 template <
SQLAgg... agg_types>
437 bool any_of(std::vector<Analyzer::Expr*>
const& target_exprs) {
440 return agg && (... || (agg_types == agg->get_aggtype()));
446 const Executor* executor,
448 const std::vector<InputTableInfo>& query_infos,
449 const bool allow_multifrag,
450 const bool keyless_hash,
451 const bool interleaved_bins_on_gpu,
452 const int32_t idx_target_as_key,
455 const std::vector<int8_t>& group_col_widths,
456 const int8_t group_col_compact_width,
457 const std::vector<int64_t>& target_groupby_indices,
458 const size_t entry_count,
460 const bool sort_on_gpu_hint,
461 const bool output_columnar_hint,
462 const bool render_output,
463 const bool must_use_baseline_sort,
466 , allow_multifrag_(allow_multifrag)
467 , query_desc_type_(col_range_info.hash_type_)
468 , keyless_hash_(keyless_hash)
469 , interleaved_bins_on_gpu_(interleaved_bins_on_gpu)
470 , idx_target_as_key_(idx_target_as_key)
471 , group_col_widths_(group_col_widths)
472 , group_col_compact_width_(group_col_compact_width)
473 , target_groupby_indices_(target_groupby_indices)
474 , entry_count_(entry_count)
475 , min_val_(col_range_info.min)
476 , max_val_(col_range_info.max)
477 , bucket_(col_range_info.bucket)
478 , has_nulls_(col_range_info.has_nulls)
479 , count_distinct_descriptors_(count_distinct_descriptors)
480 , output_columnar_(
false)
481 , render_output_(render_output)
482 , must_use_baseline_sort_(must_use_baseline_sort)
483 , is_table_function_(
false)
484 , use_streaming_top_n_(use_streaming_top_n)
485 , force_4byte_float_(
false)
486 , col_slot_context_(col_slot_context) {
504 !any_of<kAPPROX_QUANTILE, kMODE>(ra_exe_unit.
target_exprs);
513 !any_of<kAPPROX_QUANTILE, kMODE>(ra_exe_unit.
target_exprs);
532 const auto thread_count = executor->blockSize() * executor->gridSize();
533 const auto total_buff_size =
535 if (total_buff_size >
executor_->maxGpuSlabSize()) {
544 , allow_multifrag_(
false)
546 , keyless_hash_(
false)
547 , interleaved_bins_on_gpu_(
false)
548 , idx_target_as_key_(0)
549 , group_col_compact_width_(0)
555 , sort_on_gpu_(
false)
556 , output_columnar_(
false)
557 , render_output_(
false)
558 , must_use_baseline_sort_(
false)
559 , is_table_function_(
false)
560 , use_streaming_top_n_(
false)
561 , force_4byte_float_(
false) {}
564 const size_t entry_count,
566 const bool is_table_function)
568 , allow_multifrag_(
false)
569 , query_desc_type_(query_desc_type)
570 , keyless_hash_(
false)
571 , interleaved_bins_on_gpu_(
false)
572 , idx_target_as_key_(0)
573 , group_col_compact_width_(0)
574 , entry_count_(entry_count)
579 , sort_on_gpu_(
false)
580 , output_columnar_(
false)
581 , render_output_(
false)
582 , must_use_baseline_sort_(
false)
583 , is_table_function_(is_table_function)
584 , use_streaming_top_n_(
false)
585 , force_4byte_float_(
false) {}
588 const int64_t min_val,
589 const int64_t max_val,
590 const bool has_nulls,
591 const std::vector<int8_t>& group_col_widths)
593 , allow_multifrag_(
false)
594 , query_desc_type_(query_desc_type)
595 , keyless_hash_(
false)
596 , interleaved_bins_on_gpu_(
false)
597 , idx_target_as_key_(0)
598 , group_col_widths_(group_col_widths)
599 , group_col_compact_width_(0)
605 , sort_on_gpu_(
false)
606 , output_columnar_(
false)
607 , render_output_(
false)
608 , must_use_baseline_sort_(
false)
609 , is_table_function_(
false)
610 , use_streaming_top_n_(
false)
611 , force_4byte_float_(
false) {}
659 count_distinct_desc.device_type = ref_count_distinct_desc.device_type;
660 if (ref_count_distinct_desc != count_distinct_desc) {
679 const Executor* executor,
684 const int64_t num_rows,
685 const std::vector<std::vector<const int8_t*>>& col_buffers,
686 const std::vector<std::vector<uint64_t>>& frag_offsets,
687 std::shared_ptr<RowSetMemoryOwner> row_set_mem_owner,
688 const bool output_columnar,
690 const size_t thread_idx,
693 if (frag_offsets.empty()) {
696 return std::unique_ptr<QueryExecutionContext>(
716 const std::vector<InputTableInfo>& query_infos,
717 const int8_t crt_min_byte_width) {
719 return sizeof(int64_t);
721 int8_t compact_width{0};
724 int unnest_array_col_id{std::numeric_limits<int>::min()};
727 if (uoper && uoper->get_optype() ==
kUNNEST) {
729 CHECK(arg_ti.is_array());
730 const auto& elem_ti = arg_ti.get_elem_type();
731 if (elem_ti.is_string() && elem_ti.get_compression() ==
kENCODING_DICT) {
732 unnest_array_col_id = (*col_it)->getColId();
734 compact_width = crt_min_byte_width;
742 if (!compact_width &&
744 compact_width = crt_min_byte_width;
746 if (!compact_width) {
750 const auto& ti = target->get_type_info();
752 if (agg && agg->get_arg()) {
753 compact_width = crt_min_byte_width;
759 CHECK(!agg->get_is_distinct());
775 if (uoper && uoper->get_optype() ==
kUNNEST &&
776 (*col_it)->getColId() == unnest_array_col_id) {
778 CHECK(arg_ti.is_array());
779 const auto& elem_ti = arg_ti.get_elem_type();
780 if (elem_ti.is_string() && elem_ti.get_compression() ==
kENCODING_DICT) {
788 compact_width = crt_min_byte_width;
792 if (!compact_width) {
793 size_t total_tuples{0};
794 for (
const auto& qi : query_infos) {
795 total_tuples += qi.info.getNumTuples();
797 return total_tuples <= static_cast<size_t>(std::numeric_limits<uint32_t>::max()) ||
798 unnest_array_col_id != std::numeric_limits<int>::min()
800 : crt_min_byte_width;
804 compact_width = std::max(compact_width, wid);
806 return compact_width;
816 size_t total_bytes{0};
851 const size_t num_entries_per_column)
const {
865 const size_t projection_count)
const {
866 constexpr
size_t row_index_width =
sizeof(int64_t);
868 row_index_width * projection_count;
893 for (
size_t index = 0; index < col_idx; ++index) {
895 if (column_width > 0) {
904 for (
size_t index = 0; index < col_idx; ++index) {
928 const size_t group_idx)
const {
932 for (
size_t col_idx = 0; col_idx < group_idx; col_idx++) {
935 std::max(
groupColWidth(col_idx), static_cast<int8_t>(
sizeof(int64_t))) *
947 size_t buffer_size{0};
950 std::max(
groupColWidth(group_idx), static_cast<int8_t>(
sizeof(int64_t))) *
969 const size_t col_idx)
const {
975 if (col_idx + 1 == total_slot_count) {
979 return static_cast<size_t>(
align_to_int64(col_ptr + chosen_bytes) - col_ptr);
990 offset += bin * (next_chosen_bytes - chosen_bytes);
994 if (next_chosen_bytes ==
sizeof(int64_t)) {
995 return static_cast<size_t>(
align_to_int64(col_ptr + chosen_bytes) - col_ptr);
1002 const size_t col_idx)
const {
1005 if (col_idx + 1 == total_slot_count) {
1006 return static_cast<size_t>(
align_to_int64(col_ptr + chosen_bytes) - col_ptr);
1011 if (next_chosen_bytes ==
sizeof(int64_t)) {
1012 return static_cast<size_t>(
align_to_int64(col_ptr + chosen_bytes) - col_ptr);
1014 return chosen_bytes;
1020 const unsigned thread_count,
1042 const size_t entry_count)
const {
1051 constexpr
size_t row_index_width =
sizeof(int64_t);
1052 size_t total_bytes{0};
1100 return total_slot_count;
1104 [](
const int64_t i) {
return i >= 0; });
1148 return executor_->cudaMgr()->isArchVoltaOrGreaterForAll();
1166 const int8_t bytes) {
1171 const size_t slot_idx)
const {
1176 const size_t col_idx)
const {
1178 CHECK_EQ(col_slots.size(), size_t(1));
1179 return col_slots.front();
1192 const int8_t actual_min_byte_width)
const {
1197 const std::vector<std::tuple<int8_t, int8_t>>& slots_for_col) {
1222 return "Perfect Hash";
1224 return "Baseline Hash";
1226 return "Projection";
1228 return "Table Function";
1230 return "Non-grouped Aggregate";
1264 str +=
"Query Memory Descriptor State\n";
1274 if (group_indices_size) {
1275 std::vector<std::string> group_indices_strings;
1276 for (
size_t target_idx = 0; target_idx < group_indices_size; ++target_idx) {
1279 str +=
"\tTarget group by indices: " +
1287 const std::vector<Analyzer::Expr*>& targets,
1289 std::vector<TargetInfo> target_infos;
1290 for (
const auto target_expr : targets) {
1295 target.sql_type.set_notnull(
false);
1297 target_infos.push_back(target);
1299 return target_infos;
1303 int64_t buffer_element_size{0};
1307 if (slot_element_size < 0) {
1308 return std::nullopt;
1310 buffer_element_size += slot_element_size;
1315 return buffer_element_size;
1319 int64_t buffer_element_size{0};
1321 for (
size_t i = 0; i < slot_idx; i++) {
1324 if (slot_element_size < 0) {
1327 buffer_element_size += slot_element_size;
1332 return buffer_element_size;
size_t varlenOutputRowSizeToSlot(const size_t slot_idx) const
int8_t getMinPaddedByteSize(const int8_t actual_min_byte_width) const
std::vector< Analyzer::Expr * > target_exprs
static bool many_entries(const int64_t max_val, const int64_t min_val, const int64_t bucket)
void addColSlotInfoFlatBuffer(const int64_t flatbuffer_size)
int64_t getIntMin() const
ColSlotContext col_slot_context_
size_t getSlotCount() const
size_t getBufferSizeBytes(const RelAlgExecutionUnit &ra_exe_unit, const unsigned thread_count, const ExecutorDeviceType device_type) const
bool g_enable_smem_group_by
static int64_t getBucketedCardinality(const ColRangeInfo &col_range_info)
size_t getEntryCount() const
void alignPaddedSlots(const bool sort_on_gpu)
const Executor * executor_
std::vector< int64_t > target_expr_proj_indices(const RelAlgExecutionUnit &ra_exe_unit)
size_t getTotalBytesOfColumnarProjections(const size_t projection_count) const
int32_t idx_target_as_key_
int64_t getTargetGroupbyIndex(const size_t target_idx) const
void sort_on_gpu(int64_t *val_buff, int32_t *idx_buff, const uint64_t entry_count, const bool desc, const uint32_t chosen_bytes, ThrustAllocator &alloc, const int device_id)
std::string toString() const
bool isLogicalSizedColumnsAllowed() const
void setPaddedSlotWidthBytes(const size_t slot_idx, const int8_t bytes)
std::vector< int8_t > get_col_byte_widths(const T &col_expr_list)
int8_t pick_baseline_key_component_width(const ExpressionRange &range, const size_t group_col_width)
const std::list< Analyzer::OrderEntry > order_entries
std::vector< InputDescriptor > input_descs
static std::unique_ptr< QueryMemoryDescriptor > init(const Executor *executor, const RelAlgExecutionUnit &ra_exe_unit, const std::vector< InputTableInfo > &query_infos, const ColRangeInfo &col_range_info, const KeylessInfo &keyless_info, const bool allow_multifrag, const ExecutorDeviceType device_type, const int8_t crt_min_byte_width, const bool sort_on_gpu_hint, const size_t shard_count, const size_t max_groups_buffer_entry_count, RenderInfo *render_info, const CountDistinctDescriptors count_distinct_descriptors, const bool must_use_baseline_sort, const bool output_columnar_hint, const bool streaming_top_n_hint)
void setOutputColumnar(const bool val)
const SortAlgorithm algorithm
size_t getColCount() const
size_t getAllSlotsPaddedSize() const
size_t getAllSlotsAlignedPaddedSize() const
size_t getNextColOffInBytes(const int8_t *col_ptr, const size_t bin, const size_t col_idx) const
size_t getEffectiveKeyWidth() const
bool use_streaming_top_n(const RelAlgExecutionUnit &ra_exe_unit, const bool output_columnar)
size_t g_streaming_topn_max
const std::list< std::shared_ptr< Analyzer::Expr > > groupby_exprs
T visit(const Analyzer::Expr *expr) const
void setAllSlotsSize(const int8_t slot_width_size)
TargetInfo get_target_info(const Analyzer::Expr *target_expr, const bool bigint_count)
size_t getWarpCount() const
size_t getRowSize() const
void useConsistentSlotWidthSize(const int8_t slot_width_size)
const SlotSize & getSlotInfo(const size_t slot_idx) const
size_t getColOnlyOffInBytes(const size_t col_idx) const
size_t getColOnlyOffInBytes(const size_t slot_idx) const
const SQLTypeInfo get_compact_type(const TargetInfo &target)
bool is_varlen_projection(const Analyzer::Expr *target_expr, const SQLTypeInfo &ti)
bool blocksShareMemory() const
bool g_enable_columnar_output
int8_t groupColWidth(const size_t key_idx) const
size_t get_bit_width(const SQLTypeInfo &ti)
size_t getCompactByteWidth() const
void addColumnFlatBuffer(const int64_t flatbuffer_size)
std::vector< CountDistinctDescriptor > CountDistinctDescriptors
size_t getCompactByteWidth() const
Provides column info and slot info for the output buffer and some metadata helpers.
size_t getGroupbyColCount() const
const ColumnDescriptor * get_column_descriptor_maybe(const shared::ColumnKey &column_key)
bool lazyInitGroups(const ExecutorDeviceType) const
size_t targetGroupbyIndicesSize() const
size_t getPrependedGroupBufferSizeInBytes() const
size_t getTotalBytesOfColumnarBuffers() const
std::vector< int64_t > target_groupby_indices_
static int8_t pick_target_compact_width(const RelAlgExecutionUnit &ra_exe_unit, const std::vector< InputTableInfo > &query_infos, const int8_t crt_min_byte_width)
CountDistinctDescriptors count_distinct_descriptors_
int32_t get_varno() const
bool is_valid_int32_range(const ExpressionRange &range)
bool interleaved_bins_on_gpu_
const int8_t getPaddedSlotWidthBytes(const size_t slot_idx) const
ExpressionRange getExpressionRange(const Analyzer::BinOper *expr, const std::vector< InputTableInfo > &query_infos, const Executor *, boost::optional< std::list< std::shared_ptr< Analyzer::Expr >>> simple_quals)
int64_t varlenOutputElementSize(const size_t slot_idx) const
const SQLTypeInfo & get_type_info() const
QueryDescriptionType getQueryDescriptionType() const
std::vector< int64_t > target_expr_group_by_indices(const std::list< std::shared_ptr< Analyzer::Expr >> &groupby_exprs, const std::vector< Analyzer::Expr * > &target_exprs)
std::optional< size_t > varlenOutputBufferElemSize() const
void addColumn(const std::vector< std::tuple< int8_t, int8_t >> &slots_for_col)
size_t getNextColOffInBytesRowOnly(const int8_t *col_ptr, const size_t col_idx) const
const Expr * get_operand() const
QueryDescriptionType query_desc_type_
int8_t group_col_compact_width_
int8_t updateActualMinByteWidth(const int8_t actual_min_byte_width) const
size_t getTotalBytesOfColumnarBuffers(const size_t entry_count) const
bool operator==(const QueryMemoryDescriptor &other) const
Descriptor for the result set buffer layout.
size_t getColsSize() const
bool is_int_and_no_bigger_than(const SQLTypeInfo &ti, const size_t byte_width)
std::list< std::shared_ptr< Analyzer::Expr > > quals
bool canOutputColumnar() const
ExpressionRangeType getType() const
size_t get_heap_size(const size_t row_size, const size_t n, const size_t thread_count)
bool usesGetGroupValueFast() const
int64_t getIntMax() const
bool isWarpSyncRequired(const ExecutorDeviceType) const
std::string toString() const
size_t getSlotCount() const
void setAllSlotsPaddedSizeToLogicalSize()
bool interleavedBins(const ExecutorDeviceType) const
bool g_enable_watchdog false
bool threadsShareMemory() const
#define DEBUG_TIMER(name)
size_t getColCount() const
std::vector< int8_t > group_col_widths_
size_t getRowWidth() const
void setPaddedSlotWidthBytes(const size_t slot_idx, const int8_t bytes)
std::vector< TargetInfo > target_exprs_to_infos(const std::vector< Analyzer::Expr * > &targets, const QueryMemoryDescriptor &query_mem_desc)
const std::vector< size_t > & getSlotsForCol(const size_t col_idx) const
bool must_use_baseline_sort_
std::string queryDescTypeToString() const
bool any_of(std::vector< Analyzer::Expr * > const &target_exprs)
std::list< std::shared_ptr< const InputColDescriptor > > input_col_descs
void addColSlotInfo(const std::vector< std::tuple< int8_t, int8_t >> &slots_for_col)
bool use_streaming_top_n_
static bool countDescriptorsLogicallyEmpty(const CountDistinctDescriptors &count_distinct_descriptors)
void setAllUnsetSlotsPaddedSize(const int8_t padded_size)
int64_t getFlatBufferSize(const size_t slot_idx) const
const int8_t getSlotIndexForSingleSlotCol(const size_t col_idx) const
size_t getBufferColSlotCount() const
const int8_t getLogicalSlotWidthBytes(const size_t slot_idx) const
size_t getColOffInBytes(const size_t col_idx) const
size_t getColOffInBytesInNextBin(const size_t col_idx) const
std::unique_ptr< QueryExecutionContext > getQueryExecutionContext(const RelAlgExecutionUnit &, const Executor *executor, const ExecutorDeviceType device_type, const ExecutorDispatchMode dispatch_mode, const int device_id, const shared::TableKey &outer_table_key, const int64_t num_rows, const std::vector< std::vector< const int8_t * >> &col_buffers, const std::vector< std::vector< uint64_t >> &frag_offsets, std::shared_ptr< RowSetMemoryOwner >, const bool output_columnar, const bool sort_on_gpu, const size_t thread_idx, RenderInfo *) const
friend class QueryExecutionContext
FORCE_INLINE HOST DEVICE T align_to_int64(T addr)
int8_t pick_baseline_key_width(const RelAlgExecutionUnit &ra_exe_unit, const std::vector< InputTableInfo > &query_infos, const Executor *executor)
std::string reductionKey() const
std::list< std::shared_ptr< Analyzer::Expr > > simple_quals
void set_notnull(TargetInfo &target, const bool not_null)
int32_t getTargetIdxForKey() const
size_t getPrependedGroupColOffInBytes(const size_t group_idx) const