QueryFragmentDescriptor Class Reference

#include <QueryFragmentDescriptor.h>

Public Member Functions
	QueryFragmentDescriptor (const RelAlgExecutionUnit &ra_exe_unit, const std::vector< InputTableInfo > &query_infos, const std::vector< Data_Namespace::MemoryInfo > &gpu_mem_infos, const double gpu_input_mem_limit_percent, const std::vector< size_t > allowed_outer_fragment_indices)
void	buildFragmentKernelMap (const RelAlgExecutionUnit &ra_exe_unit, const std::vector< uint64_t > &frag_offsets, const int device_count, const ExecutorDeviceType &device_type, const bool enable_multifrag_kernels, const bool enable_inner_join_fragment_skipping, Executor *executor)
template<typename DISPATCH_FCN >
void	assignFragsToMultiDispatch (DISPATCH_FCN f) const
template<typename DISPATCH_FCN >
void	assignFragsToKernelDispatch (DISPATCH_FCN f, const RelAlgExecutionUnit &ra_exe_unit) const
bool	shouldCheckWorkUnitWatchdog () const

Static Public Member Functions
static void	computeAllTablesFragments (std::map< int, const TableFragments *> &all_tables_fragments, const RelAlgExecutionUnit &ra_exe_unit, const std::vector< InputTableInfo > &query_infos)

Protected Member Functions
void	buildFragmentPerKernelMapForUnion (const RelAlgExecutionUnit &ra_exe_unit, const std::vector< uint64_t > &frag_offsets, const int device_count, const ExecutorDeviceType &device_type, Executor *executor)
void	buildFragmentPerKernelMap (const RelAlgExecutionUnit &ra_exe_unit, const std::vector< uint64_t > &frag_offsets, const int device_count, const ExecutorDeviceType &device_type, Executor *executor)
void	buildMultifragKernelMap (const RelAlgExecutionUnit &ra_exe_unit, const std::vector< uint64_t > &frag_offsets, const int device_count, const ExecutorDeviceType &device_type, const bool enable_inner_join_fragment_skipping, Executor *executor)
bool	terminateDispatchMaybe (size_t &tuple_count, const RelAlgExecutionUnit &ra_exe_unit, const ExecutionKernel &kernel) const
void	checkDeviceMemoryUsage (const Fragmenter_Namespace::FragmentInfo &fragment, const int device_id, const size_t num_cols)

Protected Attributes
std::vector< size_t >	allowed_outer_fragment_indices_
size_t	outer_fragments_size_ = 0
int64_t	rowid_lookup_key_ = -1
std::map< int, const TableFragments * >	selected_tables_fragments_
std::map< int, std::vector< ExecutionKernel > >	execution_kernels_per_device_
double	gpu_input_mem_limit_percent_
std::map< size_t, size_t >	tuple_count_per_device_
std::map< size_t, size_t >	available_gpu_mem_bytes_

Detailed Description

Definition at line 65 of file QueryFragmentDescriptor.h.

Constructor & Destructor Documentation

QueryFragmentDescriptor()

QueryFragmentDescriptor::QueryFragmentDescriptor	(	const RelAlgExecutionUnit &	ra_exe_unit,
		const std::vector< InputTableInfo > &	query_infos,
		const std::vector< Data_Namespace::MemoryInfo > &	gpu_mem_infos,
		const double	gpu_input_mem_limit_percent,
		const std::vector< size_t >	allowed_outer_fragment_indices
	)

Definition at line 23 of file QueryFragmentDescriptor.cpp.

References available_gpu_mem_bytes_, CHECK_EQ, RelAlgExecutionUnit::input_descs, and selected_tables_fragments_.

    : allowed_outer_fragment_indices_(allowed_outer_fragment_indices)
    , gpu_input_mem_limit_percent_(gpu_input_mem_limit_percent) {
  const size_t input_desc_count{ra_exe_unit.input_descs.size()};
  CHECK_EQ(query_infos.size(), input_desc_count);
  for (size_t table_idx = 0; table_idx < input_desc_count; ++table_idx) {
    const auto table_id = ra_exe_unit.input_descs[table_idx].getTableId();
    if (!selected_tables_fragments_.count(table_id)) {
      selected_tables_fragments_[ra_exe_unit.input_descs[table_idx].getTableId()] =
          &query_infos[table_idx].info.fragments;
    }
  }

  for (size_t device_id = 0; device_id < gpu_mem_infos.size(); device_id++) {
    const auto& gpu_mem_info = gpu_mem_infos[device_id];
    available_gpu_mem_bytes_[device_id] =
        gpu_mem_info.maxNumPages * gpu_mem_info.pageSize;
  }
}

Member Function Documentation

assignFragsToKernelDispatch()

template<typename DISPATCH_FCN >

void QueryFragmentDescriptor::assignFragsToKernelDispatch ( DISPATCH_FCN  f, const RelAlgExecutionUnit &  ra_exe_unit  ) const

inline

Dispatch one fragment for each device. Iterate the device map and dispatch one kernel for each device per iteration. This allows balanced dispatch as well as early termination if the number of rows passing the kernel can be computed at dispatch time and the scan limit is reached.

Definition at line 108 of file QueryFragmentDescriptor.h.

References CHECK.

Referenced by Executor::dispatchFragments().

                                                                                 {
    if (execution_kernels_per_device_.empty()) {
      return;
    }

    size_t tuple_count = 0;

    std::unordered_map<int, size_t> execution_kernel_index;
    for (const auto& device_itr : execution_kernels_per_device_) {
      CHECK(execution_kernel_index.insert(std::make_pair(device_itr.first, size_t(0)))
                .second);
    }

    bool dispatch_finished = false;
    while (!dispatch_finished) {
      dispatch_finished = true;
      for (const auto& device_itr : execution_kernels_per_device_) {
        auto& kernel_idx = execution_kernel_index[device_itr.first];
        if (kernel_idx < device_itr.second.size()) {
          dispatch_finished = false;
          const auto& execution_kernel = device_itr.second[kernel_idx++];
          f(device_itr.first, execution_kernel.fragments, rowid_lookup_key_);
          if (terminateDispatchMaybe(tuple_count, ra_exe_unit, execution_kernel)) {
            return;
          }
        }
      }
    }
  }

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assignFragsToMultiDispatch()

template<typename DISPATCH_FCN >

void QueryFragmentDescriptor::assignFragsToMultiDispatch ( DISPATCH_FCN  f ) const

inline

Dispatch multi-fragment kernels. Currently GPU only. Each GPU should have only one kernel, with multiple fragments in its fragments list.

Definition at line 91 of file QueryFragmentDescriptor.h.

References CHECK_EQ.

Referenced by Executor::dispatchFragments().

                                                        {
    for (const auto& device_itr : execution_kernels_per_device_) {
      const auto& execution_kernels = device_itr.second;
      CHECK_EQ(execution_kernels.size(), size_t(1));

      const auto& fragments_list = execution_kernels.front().fragments;
      f(device_itr.first, fragments_list, rowid_lookup_key_);
    }
  }

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buildFragmentKernelMap()

void QueryFragmentDescriptor::buildFragmentKernelMap	(	const RelAlgExecutionUnit &	ra_exe_unit,
		const std::vector< uint64_t > &	frag_offsets,
		const int	device_count,
		const ExecutorDeviceType &	device_type,
		const bool	enable_multifrag_kernels,
		const bool	enable_inner_join_fragment_skipping,
		Executor *	executor
	)

Definition at line 62 of file QueryFragmentDescriptor.cpp.

References buildFragmentPerKernelMap(), buildFragmentPerKernelMapForUnion(), buildMultifragKernelMap(), and RelAlgExecutionUnit::union_all.

Referenced by Executor::dispatchFragments().

                        {
  if (ra_exe_unit.union_all) {
    buildFragmentPerKernelMapForUnion(
        ra_exe_unit, frag_offsets, device_count, device_type, executor);
  } else if (enable_multifrag_kernels) {
    buildMultifragKernelMap(ra_exe_unit,
                            frag_offsets,
                            device_count,
                            device_type,
                            enable_inner_join_fragment_skipping,
                            executor);
  } else {
    buildFragmentPerKernelMap(
        ra_exe_unit, frag_offsets, device_count, device_type, executor);
  }
}

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buildFragmentPerKernelMap()

void QueryFragmentDescriptor::buildFragmentPerKernelMap ( const RelAlgExecutionUnit &  ra_exe_unit, const std::vector< uint64_t > &  frag_offsets, const int  device_count, const ExecutorDeviceType &  device_type, Executor *  executor  )

protected

Definition at line 197 of file QueryFragmentDescriptor.cpp.

References allowed_outer_fragment_indices_, CHECK, CHECK_GT, checkDeviceMemoryUsage(), anonymous_namespace{QueryFragmentDescriptor.cpp}::compute_fragment_tuple_count(), CPU, Data_Namespace::CPU_LEVEL, execution_kernels_per_device_, GPU, Data_Namespace::GPU_LEVEL, RelAlgExecutionUnit::input_descs, outer_fragments_size_, rowid_lookup_key_, selected_tables_fragments_, and RelAlgExecutionUnit::simple_quals.

Referenced by buildFragmentKernelMap().

                        {
  const auto& outer_table_desc = ra_exe_unit.input_descs.front();
  const int outer_table_id = outer_table_desc.getTableId();
  auto it = selected_tables_fragments_.find(outer_table_id);
  CHECK(it != selected_tables_fragments_.end());
  const auto outer_fragments = it->second;
  outer_fragments_size_ = outer_fragments->size();

  const auto num_bytes_for_row = executor->getNumBytesForFetchedRow();

  const ColumnDescriptor* deleted_cd{nullptr};
  if (outer_table_id > 0) {
    // Intermediate tables will not have a table descriptor and will also not have deleted
    // rows.
    const auto& catalog = executor->getCatalog();
    const auto td = catalog->getMetadataForTable(outer_table_id);
    CHECK(td);
    deleted_cd = catalog->getDeletedColumnIfRowsDeleted(td);
  }

  for (size_t i = 0; i < outer_fragments->size(); ++i) {
    if (!allowed_outer_fragment_indices_.empty()) {
      if (std::find(allowed_outer_fragment_indices_.begin(),
                    allowed_outer_fragment_indices_.end(),
                    i) == allowed_outer_fragment_indices_.end()) {
        continue;
      }
    }

    const auto& fragment = (*outer_fragments)[i];
    const auto skip_frag = executor->skipFragment(
        outer_table_desc, fragment, ra_exe_unit.simple_quals, frag_offsets, i);
    if (skip_frag.first) {
      continue;
    }
    rowid_lookup_key_ = std::max(rowid_lookup_key_, skip_frag.second);
    const int chosen_device_count =
        device_type == ExecutorDeviceType::CPU ? 1 : device_count;
    CHECK_GT(chosen_device_count, 0);
    const auto memory_level = device_type == ExecutorDeviceType::GPU
                                  ? Data_Namespace::GPU_LEVEL
                                  : Data_Namespace::CPU_LEVEL;
    int device_id = (device_type == ExecutorDeviceType::CPU || fragment.shard == -1)
                        ? fragment.deviceIds[static_cast<int>(memory_level)]
                        : fragment.shard % chosen_device_count;

    if (device_type == ExecutorDeviceType::GPU) {
      checkDeviceMemoryUsage(fragment, device_id, num_bytes_for_row);
    }

    ExecutionKernel execution_kernel{
        device_id, {}, compute_fragment_tuple_count(fragment, deleted_cd)};
    for (size_t j = 0; j < ra_exe_unit.input_descs.size(); ++j) {
      const auto frag_ids =
          executor->getTableFragmentIndices(ra_exe_unit,
                                            device_type,
                                            j,
                                            i,
                                            selected_tables_fragments_,
                                            executor->getInnerTabIdToJoinCond());
      const auto table_id = ra_exe_unit.input_descs[j].getTableId();
      auto table_frags_it = selected_tables_fragments_.find(table_id);
      CHECK(table_frags_it != selected_tables_fragments_.end());

      execution_kernel.fragments.emplace_back(FragmentsPerTable{table_id, frag_ids});
    }

    if (execution_kernels_per_device_.find(device_id) ==
        execution_kernels_per_device_.end()) {
      CHECK(execution_kernels_per_device_
                .insert(std::make_pair(device_id,
                                       std::vector<ExecutionKernel>{execution_kernel}))
                .second);
    } else {
      execution_kernels_per_device_[device_id].emplace_back(execution_kernel);
    }
  }
}

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buildFragmentPerKernelMapForUnion()

void QueryFragmentDescriptor::buildFragmentPerKernelMapForUnion ( const RelAlgExecutionUnit &  ra_exe_unit, const std::vector< uint64_t > &  frag_offsets, const int  device_count, const ExecutorDeviceType &  device_type, Executor *  executor  )

protected

Definition at line 99 of file QueryFragmentDescriptor.cpp.

References CHECK, CHECK_GT, checkDeviceMemoryUsage(), anonymous_namespace{QueryFragmentDescriptor.cpp}::compute_fragment_tuple_count(), CPU, Data_Namespace::CPU_LEVEL, execution_kernels_per_device_, GPU, Data_Namespace::GPU_LEVEL, RelAlgExecutionUnit::input_descs, shared::printContainer(), rowid_lookup_key_, selected_tables_fragments_, RelAlgExecutionUnit::simple_quals, and VLOG.

Referenced by buildFragmentKernelMap().

                        {
  for (size_t j = 0; j < ra_exe_unit.input_descs.size(); ++j) {
    auto const& table_desc = ra_exe_unit.input_descs[j];
    int const table_id = table_desc.getTableId();
    TableFragments const* fragments = selected_tables_fragments_.at(table_id);

    const auto num_bytes_for_row = executor->getNumBytesForFetchedRow();

    const ColumnDescriptor* deleted_cd{nullptr};
    if (table_id > 0) {
      // Temporary tables will not have a table descriptor and not have deleted rows.
      const auto& catalog = executor->getCatalog();
      const auto td = catalog->getMetadataForTable(table_id);
      CHECK(td);
      deleted_cd = catalog->getDeletedColumnIfRowsDeleted(td);
    }
    VLOG(1) << "table_id=" << table_id << " fragments->size()=" << fragments->size()
            << " fragments->front().physicalTableId="
            << fragments->front().physicalTableId
            << " fragments->front().getNumTuples()=" << fragments->front().getNumTuples()
            << " fragments->front().getPhysicalNumTuples()="
            << fragments->front().getPhysicalNumTuples();

    for (size_t i = 0; i < fragments->size(); ++i) {
      const auto& fragment = (*fragments)[i];
      const auto skip_frag = executor->skipFragment(
          table_desc, fragment, ra_exe_unit.simple_quals, frag_offsets, i);
      if (skip_frag.first) {
        continue;
      }
      rowid_lookup_key_ = std::max(rowid_lookup_key_, skip_frag.second);
      const int chosen_device_count =
          device_type == ExecutorDeviceType::CPU ? 1 : device_count;
      CHECK_GT(chosen_device_count, 0);
      const auto memory_level = device_type == ExecutorDeviceType::GPU
                                    ? Data_Namespace::GPU_LEVEL
                                    : Data_Namespace::CPU_LEVEL;

      int device_id = (device_type == ExecutorDeviceType::CPU || fragment.shard == -1)
                          ? fragment.deviceIds[static_cast<int>(memory_level)]
                          : fragment.shard % chosen_device_count;

      VLOG(1) << "device_type_is_cpu=" << (device_type == ExecutorDeviceType::CPU)
              << " chosen_device_count=" << chosen_device_count
              << " fragment.shard=" << fragment.shard
              << " fragment.deviceIds.size()=" << fragment.deviceIds.size()
              << " int(memory_level)=" << int(memory_level) << " device_id=" << device_id;

      if (device_type == ExecutorDeviceType::GPU) {
        checkDeviceMemoryUsage(fragment, device_id, num_bytes_for_row);
      }

      const auto frag_ids =
          executor->getTableFragmentIndices(ra_exe_unit,
                                            device_type,
                                            j,
                                            i,
                                            selected_tables_fragments_,
                                            executor->getInnerTabIdToJoinCond());

      VLOG(1) << "table_id=" << table_id << " frag_ids.size()=" << frag_ids.size()
              << " frag_ids.front()=" << frag_ids.front();
      ExecutionKernel execution_kernel{
          device_id,
          {FragmentsPerTable{table_id, frag_ids}},
          compute_fragment_tuple_count(fragment, deleted_cd)};

      auto itr = execution_kernels_per_device_.find(device_id);
      if (itr == execution_kernels_per_device_.end()) {
        auto const pair = execution_kernels_per_device_.insert(std::make_pair(
            device_id, std::vector<ExecutionKernel>{std::move(execution_kernel)}));
        CHECK(pair.second);
      } else {
        itr->second.emplace_back(std::move(execution_kernel));
      }
    }
    std::vector<int> table_ids =
        std::accumulate(execution_kernels_per_device_[0].begin(),
                        execution_kernels_per_device_[0].end(),
                        std::vector<int>(),
                        [](auto&& vec, auto& exe_kern) {
                          vec.push_back(exe_kern.fragments[0].table_id);
                          return vec;
                        });
    VLOG(1) << "execution_kernels_per_device_.size()="
            << execution_kernels_per_device_.size()
            << " execution_kernels_per_device_[0].size()="
            << execution_kernels_per_device_[0].size()
            << " execution_kernels_per_device_[0][*].fragments[0].table_id="
            << shared::printContainer(table_ids);
  }
}

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buildMultifragKernelMap()

void QueryFragmentDescriptor::buildMultifragKernelMap ( const RelAlgExecutionUnit &  ra_exe_unit, const std::vector< uint64_t > &  frag_offsets, const int  device_count, const ExecutorDeviceType &  device_type, const bool  enable_inner_join_fragment_skipping, Executor *  executor  )

protected

Definition at line 281 of file QueryFragmentDescriptor.cpp.

References allowed_outer_fragment_indices_, CHECK, CHECK_EQ, checkDeviceMemoryUsage(), execution_kernels_per_device_, GPU, Data_Namespace::GPU_LEVEL, RelAlgExecutionUnit::input_descs, outer_fragments_size_, rowid_lookup_key_, selected_tables_fragments_, and RelAlgExecutionUnit::simple_quals.

Referenced by buildFragmentKernelMap().

                        {
  // Allocate all the fragments of the tables involved in the query to available
  // devices. The basic idea: the device is decided by the outer table in the
  // query (the first table in a join) and we need to broadcast the fragments
  // in the inner table to each device. Sharding will change this model.
  const auto& outer_table_desc = ra_exe_unit.input_descs.front();
  const int outer_table_id = outer_table_desc.getTableId();
  auto it = selected_tables_fragments_.find(outer_table_id);
  CHECK(it != selected_tables_fragments_.end());
  const auto outer_fragments = it->second;
  outer_fragments_size_ = outer_fragments->size();

  const auto inner_table_id_to_join_condition = executor->getInnerTabIdToJoinCond();
  const auto num_bytes_for_row = executor->getNumBytesForFetchedRow();

  for (size_t outer_frag_id = 0; outer_frag_id < outer_fragments->size();
       ++outer_frag_id) {
    if (!allowed_outer_fragment_indices_.empty()) {
      if (std::find(allowed_outer_fragment_indices_.begin(),
                    allowed_outer_fragment_indices_.end(),
                    outer_frag_id) == allowed_outer_fragment_indices_.end()) {
        continue;
      }
    }

    const auto& fragment = (*outer_fragments)[outer_frag_id];
    auto skip_frag = executor->skipFragment(outer_table_desc,
                                            fragment,
                                            ra_exe_unit.simple_quals,
                                            frag_offsets,
                                            outer_frag_id);
    if (enable_inner_join_fragment_skipping &&
        (skip_frag == std::pair<bool, int64_t>(false, -1))) {
      skip_frag = executor->skipFragmentInnerJoins(
          outer_table_desc, ra_exe_unit, fragment, frag_offsets, outer_frag_id);
    }
    if (skip_frag.first) {
      continue;
    }
    const int device_id =
        fragment.shard == -1
            ? fragment.deviceIds[static_cast<int>(Data_Namespace::GPU_LEVEL)]
            : fragment.shard % device_count;
    if (device_type == ExecutorDeviceType::GPU) {
      checkDeviceMemoryUsage(fragment, device_id, num_bytes_for_row);
    }
    for (size_t j = 0; j < ra_exe_unit.input_descs.size(); ++j) {
      const auto table_id = ra_exe_unit.input_descs[j].getTableId();
      auto table_frags_it = selected_tables_fragments_.find(table_id);
      CHECK(table_frags_it != selected_tables_fragments_.end());
      const auto frag_ids =
          executor->getTableFragmentIndices(ra_exe_unit,
                                            device_type,
                                            j,
                                            outer_frag_id,
                                            selected_tables_fragments_,
                                            inner_table_id_to_join_condition);

      if (execution_kernels_per_device_.find(device_id) ==
          execution_kernels_per_device_.end()) {
        std::vector<ExecutionKernel> kernels{
            ExecutionKernel{device_id, FragmentsList{}, std::nullopt}};
        CHECK(execution_kernels_per_device_.insert(std::make_pair(device_id, kernels))
                  .second);
      }

      // Multifrag kernels only have one execution kernel per device. Grab the execution
      // kernel object and push back into its fragments list.
      CHECK_EQ(execution_kernels_per_device_[device_id].size(), size_t(1));
      auto& execution_kernel = execution_kernels_per_device_[device_id].front();

      auto& kernel_frag_list = execution_kernel.fragments;
      if (kernel_frag_list.size() < j + 1) {
        kernel_frag_list.emplace_back(FragmentsPerTable{table_id, frag_ids});
      } else {
        CHECK_EQ(kernel_frag_list[j].table_id, table_id);
        auto& curr_frag_ids = kernel_frag_list[j].fragment_ids;
        for (const int frag_id : frag_ids) {
          if (std::find(curr_frag_ids.begin(), curr_frag_ids.end(), frag_id) ==
              curr_frag_ids.end()) {
            curr_frag_ids.push_back(frag_id);
          }
        }
      }
    }
    rowid_lookup_key_ = std::max(rowid_lookup_key_, skip_frag.second);
  }
}

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checkDeviceMemoryUsage()

void QueryFragmentDescriptor::checkDeviceMemoryUsage ( const Fragmenter_Namespace::FragmentInfo &  fragment, const int  device_id, const size_t  num_cols  )

protected

Definition at line 410 of file QueryFragmentDescriptor.cpp.

References available_gpu_mem_bytes_, CHECK_GE, g_cluster, Fragmenter_Namespace::FragmentInfo::getNumTuples(), gpu_input_mem_limit_percent_, LOG, tuple_count_per_device_, and logger::WARNING.

Referenced by buildFragmentPerKernelMap(), buildFragmentPerKernelMapForUnion(), and buildMultifragKernelMap().

                                    {
  if (g_cluster) {
    // Disabled in distributed mode for now
    return;
  }
  CHECK_GE(device_id, 0);
  tuple_count_per_device_[device_id] += fragment.getNumTuples();
  const size_t gpu_bytes_limit =
      available_gpu_mem_bytes_[device_id] * gpu_input_mem_limit_percent_;
  if (tuple_count_per_device_[device_id] * num_bytes_for_row > gpu_bytes_limit) {
    LOG(WARNING) << "Not enough memory on device " << device_id
                 << " for input chunks totaling "
                 << tuple_count_per_device_[device_id] * num_bytes_for_row
                 << " bytes (available device memory: " << gpu_bytes_limit << " bytes)";
    throw QueryMustRunOnCpu();
  }
}

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computeAllTablesFragments()

void QueryFragmentDescriptor::computeAllTablesFragments ( std::map< int, const TableFragments *> &  all_tables_fragments, const RelAlgExecutionUnit &  ra_exe_unit, const std::vector< InputTableInfo > &  query_infos  )

static

Definition at line 48 of file QueryFragmentDescriptor.cpp.

References CHECK_EQ, and RelAlgExecutionUnit::input_descs.

Referenced by Executor::ExecutionDispatch::runImpl().

                                                  {
  for (size_t tab_idx = 0; tab_idx < ra_exe_unit.input_descs.size(); ++tab_idx) {
    int table_id = ra_exe_unit.input_descs[tab_idx].getTableId();
    CHECK_EQ(query_infos[tab_idx].table_id, table_id);
    const auto& fragments = query_infos[tab_idx].info.fragments;
    if (!all_tables_fragments.count(table_id)) {
      all_tables_fragments.insert(std::make_pair(table_id, &fragments));
    }
  }
}

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shouldCheckWorkUnitWatchdog()

bool QueryFragmentDescriptor::shouldCheckWorkUnitWatchdog ( ) const

inline

Definition at line 139 of file QueryFragmentDescriptor.h.

Referenced by Executor::dispatchFragments().

                                           {
    return rowid_lookup_key_ < 0 && !execution_kernels_per_device_.empty();
  }

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terminateDispatchMaybe()

bool QueryFragmentDescriptor::terminateDispatchMaybe ( size_t &  tuple_count, const RelAlgExecutionUnit &  ra_exe_unit, const ExecutionKernel &  kernel  ) const

protected

Definition at line 392 of file QueryFragmentDescriptor.cpp.

References anonymous_namespace{QueryFragmentDescriptor.cpp}::is_sample_query(), SortInfo::limit, SortInfo::offset, ExecutionKernel::outer_tuple_count, and RelAlgExecutionUnit::sort_info.

                                         {
  const auto sample_query_limit =
      ra_exe_unit.sort_info.limit + ra_exe_unit.sort_info.offset;
  if (!kernel.outer_tuple_count) {
    return false;
  } else {
    tuple_count += *kernel.outer_tuple_count;
    if (is_sample_query(ra_exe_unit) && sample_query_limit > 0 &&
        tuple_count >= sample_query_limit) {
      return true;
    }
  }
  return false;
}

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Member Data Documentation

allowed_outer_fragment_indices_

std::vector<size_t> QueryFragmentDescriptor::allowed_outer_fragment_indices_

protected

Definition at line 144 of file QueryFragmentDescriptor.h.

Referenced by buildFragmentPerKernelMap(), and buildMultifragKernelMap().

available_gpu_mem_bytes_

std::map<size_t, size_t> QueryFragmentDescriptor::available_gpu_mem_bytes_

protected

Definition at line 154 of file QueryFragmentDescriptor.h.

Referenced by checkDeviceMemoryUsage(), and QueryFragmentDescriptor().

execution_kernels_per_device_

std::map<int, std::vector<ExecutionKernel> > QueryFragmentDescriptor::execution_kernels_per_device_

protected

Definition at line 150 of file QueryFragmentDescriptor.h.

Referenced by buildFragmentPerKernelMap(), buildFragmentPerKernelMapForUnion(), and buildMultifragKernelMap().

gpu_input_mem_limit_percent_

double QueryFragmentDescriptor::gpu_input_mem_limit_percent_

protected

Definition at line 152 of file QueryFragmentDescriptor.h.

Referenced by checkDeviceMemoryUsage().

outer_fragments_size_

size_t QueryFragmentDescriptor::outer_fragments_size_ = 0

protected

Definition at line 145 of file QueryFragmentDescriptor.h.

Referenced by buildFragmentPerKernelMap(), and buildMultifragKernelMap().

rowid_lookup_key_

int64_t QueryFragmentDescriptor::rowid_lookup_key_ = -1

protected

Definition at line 146 of file QueryFragmentDescriptor.h.

Referenced by buildFragmentPerKernelMap(), buildFragmentPerKernelMapForUnion(), and buildMultifragKernelMap().

selected_tables_fragments_

std::map<int, const TableFragments*> QueryFragmentDescriptor::selected_tables_fragments_

protected

Definition at line 148 of file QueryFragmentDescriptor.h.

Referenced by buildFragmentPerKernelMap(), buildFragmentPerKernelMapForUnion(), buildMultifragKernelMap(), and QueryFragmentDescriptor().

tuple_count_per_device_

std::map<size_t, size_t> QueryFragmentDescriptor::tuple_count_per_device_

protected

Definition at line 153 of file QueryFragmentDescriptor.h.

Referenced by checkDeviceMemoryUsage().

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The documentation for this class was generated from the following files:

• /home/jenkins-slave/workspace/core-os-doxygen/QueryEngine/Descriptors/QueryFragmentDescriptor.h
• /home/jenkins-slave/workspace/core-os-doxygen/QueryEngine/Descriptors/QueryFragmentDescriptor.cpp