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[CP] [CP]implement query range cost model

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This commit is contained in:
zzg19950727
2023-07-19 10:42:16 +00:00
committed by ob-robot
parent c1200c00c8
commit 76c8a644a0
49 changed files with 11680 additions and 11182 deletions
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42
src/sql/optimizer/ob_opt_est_cost_model.cpp
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@ -304,6 +304,8 @@ int ObOptEstCostModel::cost_hashjoin(const ObCostHashJoinInfo &est_cost_info,
ret = OB_ERR_UNEXPECTED;
LOG_WARN("get unexpected join type", K(est_cost_info.join_type_), K(ret));
}
} else {
cond_tuples = left_rows * right_rows * cond_sel;
}
out_tuples = cond_tuples * filter_sel;
double join_filter_cost = 0.0;
@ -1638,8 +1640,10 @@ int ObOptEstCostModel::cost_table_scan_one_batch_inner(double row_count,
qual_cost += cost_quals(row_count, est_cost_info.postfix_filters_);
}
// CPU代价，包括get_next_row调用的代价和谓词代价
double range_cost = 0;
range_cost = est_cost_info.ranges_.count() * cost_params_.RANGE_COST;
double cpu_cost = row_count * cost_params_.CPU_TUPLE_COST
+ qual_cost;
+ range_cost + qual_cost;
// 从memtable读取数据的代价，待提供
double memtable_cost = 0;
// memtable数据和基线数据合并的代价，待提供
@ -1853,8 +1857,12 @@ int ObOptEstCostModel::cost_table_get_one_batch_inner(double row_count,
}
}
// CPU代价，包括get_next_row调用的代价和谓词代价
double range_cost = 0;
if (est_cost_info.ranges_.count() > 1) {
range_cost = est_cost_info.ranges_.count() * cost_params_.RANGE_COST;
}
double cpu_cost = row_count * cost_params_.CPU_TUPLE_COST
+ qual_cost;
+ range_cost + qual_cost;
// 从memtable读取数据的代价，待提供
double memtable_cost = 0;
// memtable数据和基线数据合并的代价，待提供
@ -2255,3 +2263,33 @@ int ObOptEstCostModel::cost_delete(ObDelUpCostInfo& cost_info, double &cost)
cost_params_.DELETE_CHECK_PER_ROW_COST * cost_info.constraint_count_;
return ret;
}
int ObOptEstCostModel::cost_range_scan(const ObTableMetaInfo& table_meta_info,
const ObIArray<ObRawExpr *> &filters,
int64_t index_column_count,
int64_t range_count,
double range_sel,
double &cost)
{
int ret = OB_SUCCESS;
cost = 0;
int64_t row_count = table_meta_info.table_row_count_ * range_sel;
double num_micro_blocks = -1;
if (table_meta_info.has_opt_stat_) {
num_micro_blocks = table_meta_info.micro_block_count_;
num_micro_blocks *= index_column_count * 1.0 / table_meta_info.table_column_count_;
}
double num_micro_blocks_read = 0;
if (OB_LIKELY(table_meta_info.table_row_count_ > 0)) {
num_micro_blocks_read = std::ceil(num_micro_blocks
* row_count
/ static_cast<double> (table_meta_info.table_row_count_));
}
double io_cost = cost_params_.MICRO_BLOCK_SEQ_COST * num_micro_blocks_read;
double qual_cost = cost_quals(row_count, filters);
double cpu_cost = row_count * cost_params_.CPU_TUPLE_COST
+ range_count * cost_params_.RANGE_COST + qual_cost;
cpu_cost += row_count * cost_params_.TABLE_SCAN_CPU_TUPLE_COST;
cost = io_cost + cpu_cost;
return ret;
}