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JoinFilterPushDown.cpp File Reference
#include "JoinFilterPushDown.h"
#include "DeepCopyVisitor.h"
#include "RelAlgExecutor.h"
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Classes

class  anonymous_namespace{JoinFilterPushDown.cpp}::BindFilterToOutermostVisitor
 
class  anonymous_namespace{JoinFilterPushDown.cpp}::CollectInputColumnsVisitor
 

Namespaces

 anonymous_namespace{JoinFilterPushDown.cpp}
 

Functions

bool to_gather_info_for_filter_selectivity (const std::vector< InputTableInfo > &table_infos)
 
std::vector< PushedDownFilterInfofind_push_down_filters (const RelAlgExecutionUnit &ra_exe_unit, const std::vector< size_t > &input_permutation, const std::vector< size_t > &left_deep_join_input_sizes)
 

Function Documentation

std::vector<PushedDownFilterInfo> find_push_down_filters ( const RelAlgExecutionUnit ra_exe_unit,
const std::vector< size_t > &  input_permutation,
const std::vector< size_t > &  left_deep_join_input_sizes 
)

Go through all tables involved in the relational algebra plan, and select potential candidates to be pushed down by calcite. For each filter we store a set of intermediate indices (previous, current, and next table) based on the column indices in their query string.

Definition at line 224 of file JoinFilterPushDown.cpp.

References CHECK_EQ, CHECK_GE, CHECK_LT, i, RelAlgExecutionUnit::input_descs, gpu_enabled::iota(), RelAlgExecutionUnit::join_quals, gpu_enabled::partial_sum(), run_benchmark_import::result, and ScalarExprVisitor< T >::visit().

Referenced by RelAlgExecutor::selectFiltersToBePushedDown().

227  {
228  std::vector<PushedDownFilterInfo> result;
229  if (left_deep_join_input_sizes.empty()) {
230  return result;
231  }
232  std::vector<size_t> input_size_prefix_sums(left_deep_join_input_sizes.size());
233  std::partial_sum(left_deep_join_input_sizes.begin(),
234  left_deep_join_input_sizes.end(),
235  input_size_prefix_sums.begin());
236  std::vector<int> to_original_rte_idx(ra_exe_unit.input_descs.size(),
237  ra_exe_unit.input_descs.size());
238  if (!input_permutation.empty()) {
239  CHECK_EQ(to_original_rte_idx.size(), input_permutation.size());
240  for (size_t i = 0; i < input_permutation.size(); ++i) {
241  CHECK_LT(input_permutation[i], to_original_rte_idx.size());
242  CHECK_EQ(static_cast<size_t>(to_original_rte_idx[input_permutation[i]]),
243  to_original_rte_idx.size());
244  to_original_rte_idx[input_permutation[i]] = i;
245  }
246  } else {
247  std::iota(to_original_rte_idx.begin(), to_original_rte_idx.end(), 0);
248  }
249  std::unordered_map<int, std::vector<std::shared_ptr<Analyzer::Expr>>>
250  filters_per_nesting_level;
251  for (const auto& level_conditions : ra_exe_unit.join_quals) {
253  for (const auto& cond : level_conditions.quals) {
254  const auto rte_indices = visitor.visit(cond.get());
255  if (rte_indices.size() > 1) {
256  continue;
257  }
258  const int rte_idx = (!rte_indices.empty()) ? *rte_indices.cbegin() : 0;
259  if (!rte_idx) {
260  continue;
261  }
262  CHECK_GE(rte_idx, 0);
263  CHECK_LT(static_cast<size_t>(rte_idx), to_original_rte_idx.size());
264  filters_per_nesting_level[to_original_rte_idx[rte_idx]].push_back(cond);
265  }
266  }
267  for (const auto& kv : filters_per_nesting_level) {
268  CHECK_GE(kv.first, 0);
269  CHECK_LT(static_cast<size_t>(kv.first), input_size_prefix_sums.size());
270  size_t input_prev = (kv.first > 1) ? input_size_prefix_sums[kv.first - 2] : 0;
271  size_t input_start = kv.first ? input_size_prefix_sums[kv.first - 1] : 0;
272  size_t input_next = input_size_prefix_sums[kv.first];
273  result.emplace_back(
274  PushedDownFilterInfo{kv.second, input_prev, input_start, input_next});
275  }
276  return result;
277 }
#define CHECK_EQ(x, y)
Definition: Logger.h:217
std::vector< InputDescriptor > input_descs
#define CHECK_GE(x, y)
Definition: Logger.h:222
T visit(const Analyzer::Expr *expr) const
const JoinQualsPerNestingLevel join_quals
DEVICE void partial_sum(ARGS &&...args)
Definition: gpu_enabled.h:87
#define CHECK_LT(x, y)
Definition: Logger.h:219
DEVICE void iota(ARGS &&...args)
Definition: gpu_enabled.h:69

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bool to_gather_info_for_filter_selectivity ( const std::vector< InputTableInfo > &  table_infos)

The main purpose of this function is to prevent going through extra overhead of computing required statistics for finding the right candidates and then the actual push-down, unless the problem is large enough that such effort is potentially helpful.

Definition at line 197 of file JoinFilterPushDown.cpp.

Referenced by RelAlgExecutor::selectFiltersToBePushedDown().

198  {
199  if (table_infos.size() < 2) {
200  return false;
201  }
202  // we currently do not support filter push down when there is a self-join involved:
203  // TODO(Saman): prevent Calcite from optimizing self-joins to remove this exclusion
204  std::unordered_set<int> table_ids;
205  for (auto ti : table_infos) {
206  if (table_ids.find(ti.table_id) == table_ids.end()) {
207  table_ids.insert(ti.table_id);
208  } else {
209  // a self-join is involved
210  return false;
211  }
212  }
213  // TODO(Saman): add some extra heuristics to avoid preflight count and push down if it
214  // is not going to be helpful.
215  return true;
216 }

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