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;
69 std::vector<int64_t> target_indices(ra_exe_unit.
target_exprs.size(), -1);
71 std::unordered_set<int> used_columns;
72 for (
const auto& simple_qual : ra_exe_unit.
simple_quals) {
73 const auto crt_used_columns = columns_visitor.
visit(simple_qual.get());
74 used_columns.insert(crt_used_columns.begin(), crt_used_columns.end());
76 for (
const auto& qual : ra_exe_unit.
quals) {
77 const auto crt_used_columns = columns_visitor.visit(qual.get());
78 used_columns.insert(crt_used_columns.begin(), crt_used_columns.end());
84 col_var->get_column_id(), col_var->get_table_id(),
cat);
85 if (!cd || !cd->isVirtualCol) {
89 const auto crt_used_columns = columns_visitor.visit(target);
90 used_columns.insert(crt_used_columns.begin(), crt_used_columns.end());
92 for (
size_t target_idx = 0; target_idx < ra_exe_unit.
target_exprs.size();
94 const auto target_expr = ra_exe_unit.
target_exprs[target_idx];
96 const auto& ti = target_expr->get_type_info();
105 if (!ti.is_varlen() &&
106 used_columns.find(col_var->get_column_id()) == used_columns.end()) {
110 target_indices[target_idx] = 0;
113 return target_indices;
117 const size_t group_col_width) {
119 return sizeof(int64_t);
123 if (group_col_width ==
sizeof(int64_t) && range.
hasNulls()) {
124 return sizeof(int64_t);
129 return sizeof(int64_t);
133 return sizeof(int64_t);
138 const std::vector<InputTableInfo>& query_infos,
139 const Executor* executor) {
140 int8_t compact_width{4};
142 const auto expr_range =
getExpressionRange(groupby_expr.get(), query_infos, executor);
143 compact_width = std::max(compact_width,
145 expr_range, groupby_expr->get_type_info().get_size()));
147 return compact_width;
151 const bool output_columnar) {
156 for (
const auto target_expr : ra_exe_unit.
target_exprs) {
157 if (dynamic_cast<const Analyzer::AggExpr*>(target_expr)) {
160 if (dynamic_cast<const Analyzer::WindowFunction*>(target_expr)) {
170 CHECK_GT(only_order_entry.tle_no,
int(0));
171 CHECK_LE(static_cast<size_t>(only_order_entry.tle_no),
173 const auto order_entry_expr = ra_exe_unit.
target_exprs[only_order_entry.tle_no - 1];
175 if ((order_entry_expr->get_type_info().is_number() ||
176 order_entry_expr->get_type_info().is_time()) &&
187 std::vector<int8_t> col_widths;
188 size_t col_expr_idx = 0;
189 for (
const auto& col_expr : col_expr_list) {
192 col_widths.push_back(
sizeof(int64_t));
195 if constexpr (std::is_same<
T, std::list<std::shared_ptr<Analyzer::Expr>>>::value) {
204 col_widths.push_back(
sizeof(int64_t));
210 if ((chosen_type.is_string() && chosen_type.get_compression() ==
kENCODING_NONE) ||
211 chosen_type.is_array()) {
212 col_widths.push_back(
sizeof(int64_t));
213 col_widths.push_back(
sizeof(int64_t));
217 if (chosen_type.is_geometry()) {
218 for (
auto i = 0; i < chosen_type.get_physical_coord_cols(); ++i) {
219 col_widths.push_back(
sizeof(int64_t));
220 col_widths.push_back(
sizeof(int64_t));
226 CHECK_EQ(
size_t(0), col_expr_bitwidth % 8);
227 col_widths.push_back(static_cast<int8_t>(col_expr_bitwidth >> 3));
229 if (agg_info.agg_kind ==
kAVG) {
230 CHECK(agg_info.is_agg);
231 col_widths.push_back(
sizeof(int64_t));
242 const Executor* executor,
244 const std::vector<InputTableInfo>& query_infos,
247 const bool allow_multifrag,
249 const int8_t crt_min_byte_width,
250 const bool sort_on_gpu_hint,
251 const size_t shard_count,
252 const size_t max_groups_buffer_entry_count,
255 const bool must_use_baseline_sort,
256 const bool output_columnar_hint,
257 const bool streaming_top_n_hint) {
259 const bool is_group_by{!group_col_widths.empty()};
264 ra_exe_unit, query_infos, crt_min_byte_width);
266 col_slot_context.setAllSlotsPaddedSize(min_slot_size);
267 col_slot_context.validate();
270 CHECK(!must_use_baseline_sort);
272 return std::make_unique<QueryMemoryDescriptor>(
287 std::vector<int8_t>{},
289 std::vector<int64_t>{},
291 count_distinct_descriptors,
293 output_columnar_hint,
294 render_info && render_info->isPotentialInSituRender(),
295 must_use_baseline_sort,
299 size_t entry_count = 1;
300 auto actual_col_range_info = col_range_info;
301 bool interleaved_bins_on_gpu =
false;
302 bool keyless_hash =
false;
303 bool streaming_top_n =
false;
304 int8_t group_col_compact_width = 0;
305 int32_t idx_target_as_key = -1;
306 auto output_columnar = output_columnar_hint;
307 std::vector<int64_t> target_groupby_indices;
309 switch (col_range_info.hash_type_) {
314 render_info->setInSituDataIfUnset(
false);
319 (!sort_on_gpu_hint ||
321 col_range_info.max, col_range_info.min, col_range_info.bucket)) &&
322 !col_range_info.bucket && !must_use_baseline_sort && keyless_info.keyless;
326 idx_target_as_key = keyless_info.target_index;
328 if (group_col_widths.size() > 1) {
330 entry_count =
static_cast<size_t>(actual_col_range_info.max);
331 actual_col_range_info.bucket = 0;
334 entry_count = std::max(
336 const size_t interleaved_max_threshold{512};
338 if (must_use_baseline_sort) {
340 ra_exe_unit.target_exprs);
345 bool has_varlen_sample_agg =
false;
346 for (
const auto& target_expr : ra_exe_unit.target_exprs) {
347 if (target_expr->get_contains_agg()) {
350 if (agg_expr->get_aggtype() ==
kSAMPLE &&
351 agg_expr->get_type_info().is_varlen()) {
352 has_varlen_sample_agg =
true;
358 interleaved_bins_on_gpu = keyless_hash && !has_varlen_sample_agg &&
359 (entry_count <= interleaved_max_threshold) &&
362 count_distinct_descriptors) &&
371 render_info->setInSituDataIfUnset(
false);
373 entry_count = shard_count
374 ? (max_groups_buffer_entry_count + shard_count - 1) / shard_count
375 : max_groups_buffer_entry_count;
377 ra_exe_unit.target_exprs);
378 col_slot_context =
ColSlotContext(ra_exe_unit.target_exprs, target_groupby_indices);
380 group_col_compact_width =
384 actual_col_range_info =
389 CHECK(!must_use_baseline_sort);
392 streaming_top_n =
true;
393 entry_count = ra_exe_unit.sort_info.offset + ra_exe_unit.sort_info.limit;
395 if (ra_exe_unit.use_bump_allocator) {
396 output_columnar =
false;
399 entry_count = ra_exe_unit.scan_limit
400 ?
static_cast<size_t>(ra_exe_unit.scan_limit)
401 : max_groups_buffer_entry_count;
405 const auto catalog = executor->getCatalog();
407 target_groupby_indices = executor->plan_state_->allow_lazy_fetch_
409 : std::vector<int64_t>{};
411 col_slot_context =
ColSlotContext(ra_exe_unit.target_exprs, target_groupby_indices);
418 return std::make_unique<QueryMemoryDescriptor>(
424 interleaved_bins_on_gpu,
426 actual_col_range_info,
429 group_col_compact_width,
430 target_groupby_indices,
432 count_distinct_descriptors,
435 render_info && render_info->isPotentialInSituRender(),
436 must_use_baseline_sort,
441 bool anyOf(std::vector<Analyzer::Expr*>
const& target_exprs,
SQLAgg const agg_kind) {
442 return boost::algorithm::any_of(target_exprs, [agg_kind](
Analyzer::Expr const* expr) {
450 const Executor* executor,
452 const std::vector<InputTableInfo>& query_infos,
453 const bool allow_multifrag,
454 const bool keyless_hash,
455 const bool interleaved_bins_on_gpu,
456 const int32_t idx_target_as_key,
459 const std::vector<int8_t>& group_col_widths,
460 const int8_t group_col_compact_width,
461 const std::vector<int64_t>& target_groupby_indices,
462 const size_t entry_count,
464 const bool sort_on_gpu_hint,
465 const bool output_columnar_hint,
466 const bool render_output,
467 const bool must_use_baseline_sort,
469 : executor_(executor)
470 , allow_multifrag_(allow_multifrag)
471 , query_desc_type_(col_range_info.hash_type_)
472 , keyless_hash_(keyless_hash)
473 , interleaved_bins_on_gpu_(interleaved_bins_on_gpu)
474 , idx_target_as_key_(idx_target_as_key)
475 , group_col_widths_(group_col_widths)
476 , group_col_compact_width_(group_col_compact_width)
477 , target_groupby_indices_(target_groupby_indices)
478 , entry_count_(entry_count)
479 , min_val_(col_range_info.min)
480 , max_val_(col_range_info.max)
481 , bucket_(col_range_info.bucket)
482 , has_nulls_(col_range_info.has_nulls)
483 , count_distinct_descriptors_(count_distinct_descriptors)
484 , output_columnar_(
false)
485 , render_output_(render_output)
486 , must_use_baseline_sort_(must_use_baseline_sort)
487 , is_table_function_(
false)
488 , use_streaming_top_n_(use_streaming_top_n)
489 , force_4byte_float_(
false)
490 , col_slot_context_(col_slot_context) {
536 const auto thread_count = executor->blockSize() * executor->gridSize();
537 const auto total_buff_size =
539 if (total_buff_size >
executor_->maxGpuSlabSize()) {
548 , allow_multifrag_(
false)
550 , keyless_hash_(
false)
551 , interleaved_bins_on_gpu_(
false)
552 , idx_target_as_key_(0)
553 , group_col_compact_width_(0)
559 , sort_on_gpu_(
false)
560 , output_columnar_(
false)
561 , render_output_(
false)
562 , must_use_baseline_sort_(
false)
563 , is_table_function_(
false)
564 , use_streaming_top_n_(
false)
565 , force_4byte_float_(
false) {}
568 const size_t entry_count,
570 const bool is_table_function)
571 : executor_(executor)
572 , allow_multifrag_(
false)
573 , query_desc_type_(query_desc_type)
574 , keyless_hash_(
false)
575 , interleaved_bins_on_gpu_(
false)
576 , idx_target_as_key_(0)
577 , group_col_compact_width_(0)
578 , entry_count_(entry_count)
583 , sort_on_gpu_(
false)
584 , output_columnar_(
false)
585 , render_output_(
false)
586 , must_use_baseline_sort_(
false)
587 , is_table_function_(is_table_function)
588 , use_streaming_top_n_(
false)
589 , force_4byte_float_(
false) {}
592 const int64_t min_val,
593 const int64_t max_val,
594 const bool has_nulls,
595 const std::vector<int8_t>& group_col_widths)
597 , allow_multifrag_(
false)
598 , query_desc_type_(query_desc_type)
599 , keyless_hash_(
false)
600 , interleaved_bins_on_gpu_(
false)
601 , idx_target_as_key_(0)
602 , group_col_widths_(group_col_widths)
603 , group_col_compact_width_(0)
609 , sort_on_gpu_(
false)
610 , output_columnar_(
false)
611 , render_output_(
false)
612 , must_use_baseline_sort_(
false)
613 , is_table_function_(
false)
614 , use_streaming_top_n_(
false)
615 , force_4byte_float_(
false) {}
663 count_distinct_desc.device_type = ref_count_distinct_desc.device_type;
664 if (ref_count_distinct_desc != count_distinct_desc) {
683 const Executor* executor,
687 const int outer_table_id,
688 const int64_t num_rows,
689 const std::vector<std::vector<const int8_t*>>& col_buffers,
690 const std::vector<std::vector<uint64_t>>& frag_offsets,
691 std::shared_ptr<RowSetMemoryOwner> row_set_mem_owner,
692 const bool output_columnar,
694 const size_t thread_idx,
697 if (frag_offsets.empty()) {
700 return std::unique_ptr<QueryExecutionContext>(
720 const std::vector<InputTableInfo>& query_infos,
721 const int8_t crt_min_byte_width) {
723 return sizeof(int64_t);
725 int8_t compact_width{0};
728 int unnest_array_col_id{std::numeric_limits<int>::min()};
731 if (uoper && uoper->get_optype() ==
kUNNEST) {
733 CHECK(arg_ti.is_array());
734 const auto& elem_ti = arg_ti.get_elem_type();
735 if (elem_ti.is_string() && elem_ti.get_compression() ==
kENCODING_DICT) {
736 unnest_array_col_id = (*col_it)->getColId();
738 compact_width = crt_min_byte_width;
746 if (!compact_width &&
748 compact_width = crt_min_byte_width;
750 if (!compact_width) {
754 const auto& ti = target->get_type_info();
756 if (agg && agg->get_arg()) {
757 compact_width = crt_min_byte_width;
763 CHECK(!agg->get_is_distinct());
779 if (uoper && uoper->get_optype() ==
kUNNEST &&
780 (*col_it)->getColId() == unnest_array_col_id) {
782 CHECK(arg_ti.is_array());
783 const auto& elem_ti = arg_ti.get_elem_type();
784 if (elem_ti.is_string() && elem_ti.get_compression() ==
kENCODING_DICT) {
792 compact_width = crt_min_byte_width;
796 if (!compact_width) {
797 size_t total_tuples{0};
798 for (
const auto& qi : query_infos) {
799 total_tuples += qi.info.getNumTuples();
801 return total_tuples <= static_cast<size_t>(std::numeric_limits<uint32_t>::max()) ||
802 unnest_array_col_id != std::numeric_limits<int>::min()
804 : crt_min_byte_width;
808 compact_width = std::max(compact_width, wid);
810 return compact_width;
820 size_t total_bytes{0};
855 const size_t num_entries_per_column)
const {
869 const size_t projection_count)
const {
870 constexpr
size_t row_index_width =
sizeof(int64_t);
872 row_index_width * projection_count;
896 for (
size_t index = 0; index < col_idx; ++index) {
919 const size_t group_idx)
const {
923 for (
size_t col_idx = 0; col_idx < group_idx; col_idx++) {
926 std::max(
groupColWidth(col_idx), static_cast<int8_t>(
sizeof(int64_t))) *
938 size_t buffer_size{0};
941 std::max(
groupColWidth(group_idx), static_cast<int8_t>(
sizeof(int64_t))) *
960 const size_t col_idx)
const {
966 if (col_idx + 1 == total_slot_count) {
970 return static_cast<size_t>(
align_to_int64(col_ptr + chosen_bytes) - col_ptr);
981 offset += bin * (next_chosen_bytes - chosen_bytes);
985 if (next_chosen_bytes ==
sizeof(int64_t)) {
986 return static_cast<size_t>(
align_to_int64(col_ptr + chosen_bytes) - col_ptr);
993 const size_t col_idx)
const {
996 if (col_idx + 1 == total_slot_count) {
997 return static_cast<size_t>(
align_to_int64(col_ptr + chosen_bytes) - col_ptr);
1002 if (next_chosen_bytes ==
sizeof(int64_t)) {
1003 return static_cast<size_t>(
align_to_int64(col_ptr + chosen_bytes) - col_ptr);
1005 return chosen_bytes;
1011 const unsigned thread_count,
1033 const size_t entry_count)
const {
1042 constexpr
size_t row_index_width =
sizeof(int64_t);
1043 size_t total_bytes{0};
1091 return total_slot_count;
1095 [](
const int64_t i) {
return i >= 0; });
1139 return executor_->cudaMgr()->isArchVoltaOrGreaterForAll();
1157 const int8_t bytes) {
1162 const size_t slot_idx)
const {
1167 const size_t col_idx)
const {
1169 CHECK_EQ(col_slots.size(), size_t(1));
1170 return col_slots.front();
1183 const int8_t actual_min_byte_width)
const {
1188 const std::vector<std::tuple<int8_t, int8_t>>& slots_for_col) {
1209 return "Perfect Hash";
1211 return "Baseline Hash";
1213 return "Projection";
1215 return "Table Function";
1217 return "Non-grouped Aggregate";
1251 str +=
"Query Memory Descriptor State\n";
1261 if (group_indices_size) {
1262 std::vector<std::string> group_indices_strings;
1263 for (
size_t target_idx = 0; target_idx < group_indices_size; ++target_idx) {
1266 str +=
"\tTarget group by indices: " +
1274 const std::vector<Analyzer::Expr*>& targets,
1276 std::vector<TargetInfo> target_infos;
1277 for (
const auto target_expr : targets) {
1282 target.sql_type.set_notnull(
false);
1284 target_infos.push_back(target);
1286 return target_infos;
1290 int64_t buffer_element_size{0};
1294 if (slot_element_size < 0) {
1295 return std::nullopt;
1297 buffer_element_size += slot_element_size;
1302 return buffer_element_size;
1306 int64_t buffer_element_size{0};
1308 for (
size_t i = 0; i < slot_idx; i++) {
1311 if (slot_element_size < 0) {
1314 buffer_element_size += slot_element_size;
1319 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)
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
std::vector< int64_t > target_expr_proj_indices(const RelAlgExecutionUnit &ra_exe_unit, const Catalog_Namespace::Catalog &cat)
void alignPaddedSlots(const bool sort_on_gpu)
const Executor * executor_
class for a per-database catalog. also includes metadata for the current database and the current use...
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
TargetInfo get_target_info(const PointerType target_expr, const bool bigint_count)
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)
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
const ColumnDescriptor * get_column_descriptor_maybe(const int col_id, const int table_id, const Catalog_Namespace::Catalog &cat)
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
std::unique_ptr< QueryExecutionContext > getQueryExecutionContext(const RelAlgExecutionUnit &, const Executor *executor, const ExecutorDeviceType device_type, const ExecutorDispatchMode dispatch_mode, const int device_id, const int outer_table_id, 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
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_
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)
bool anyOf(std::vector< Analyzer::Expr * > const &target_exprs, SQLAgg const agg_kind)
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)
SQLAgg get_aggtype() const
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
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)
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
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