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oceanbase/src/sql/optimizer/ob_sel_estimator.cpp
xianyu-w f2645d2551 Revise qual selectivity
2024-02-10 00:37:43 +00:00

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/**
* Copyright (c) 2021 OceanBase
* OceanBase CE is licensed under Mulan PubL v2.
* You can use this software according to the terms and conditions of the Mulan PubL v2.
* You may obtain a copy of Mulan PubL v2 at:
* http://license.coscl.org.cn/MulanPubL-2.0
* THIS SOFTWARE IS PROVIDED ON AN "AS IS" BASIS, WITHOUT WARRANTIES OF ANY KIND,
* EITHER EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO NON-INFRINGEMENT,
* MERCHANTABILITY OR FIT FOR A PARTICULAR PURPOSE.
* See the Mulan PubL v2 for more details.
*/
#define USING_LOG_PREFIX SQL_OPT
#include "sql/optimizer/ob_opt_selectivity.h"
#include <math.h>
#include "common/object/ob_obj_compare.h"
#include "sql/session/ob_sql_session_info.h"
#include "sql/session/ob_basic_session_info.h"
#include "share/schema/ob_part_mgr_util.h"
#include "sql/resolver/expr/ob_raw_expr_util.h"
#include "sql/rewrite/ob_query_range.h"
#include "sql/optimizer/ob_opt_est_utils.h"
#include "sql/optimizer/ob_optimizer.h"
#include "sql/optimizer/ob_optimizer_util.h"
#include "sql/rewrite/ob_transform_utils.h"
#include "sql/optimizer/ob_logical_operator.h"
#include "sql/optimizer/ob_join_order.h"
#include "common/ob_smart_call.h"
#include "share/stat/ob_dbms_stats_utils.h"
#include "sql/optimizer/ob_access_path_estimation.h"
#include "sql/optimizer/ob_sel_estimator.h"
using namespace oceanbase::common;
using namespace oceanbase::share::schema;
namespace oceanbase
{
namespace sql
{
inline double revise_ndv(double ndv) { return ndv < 1.0 ? 1.0 : ndv; }
int ObSelEstimator::append_estimators(ObIArray<ObSelEstimator *> &sel_estimators, ObSelEstimator *new_estimator)
{
int ret = OB_SUCCESS;
bool find_same_class = false;
if (OB_ISNULL(new_estimator)) {
ret = OB_ERR_UNEXPECTED;
LOG_WARN("estimator is null", K(new_estimator));
} else if (new_estimator->is_independent()) {
// do nothing
} else {
for (int64_t i = 0; OB_SUCC(ret) && !find_same_class && i < sel_estimators.count(); i ++) {
if (OB_ISNULL(sel_estimators.at(i))) {
ret = OB_ERR_UNEXPECTED;
LOG_WARN("estimator is null", K(ret), K(sel_estimators));
} else if (OB_FAIL(sel_estimators.at(i)->merge(*new_estimator, find_same_class))) {
LOG_WARN("failed to merge same class", K(ret), KPC(sel_estimators.at(i)), KPC(new_estimator));
}
}
}
if (OB_SUCC(ret) && !find_same_class) {
if (OB_FAIL(sel_estimators.push_back(new_estimator))) {
LOG_WARN("failed to push back", K(ret), K(sel_estimators));
}
}
return ret;
}
int ObDefaultSelEstimator::get_sel(const OptTableMetas &table_metas,
const OptSelectivityCtx &ctx,
double &selectivity,
ObIArray<ObExprSelPair> &all_predicate_sel)
{
int ret = OB_SUCCESS;
const ObRawExpr &qual = *expr_;
double tmp_sel = 1.0;
int64_t idx = 0;
if (OB_ISNULL(expr_)) {
ret = OB_ERR_UNEXPECTED;
LOG_WARN("unexpected null expr", KPC(this));
} else if (qual.is_spatial_expr()) {
selectivity = DEFAULT_SPATIAL_SEL;
} else if (ObOptimizerUtil::find_item(all_predicate_sel, ObExprSelPair(&qual, 0), &idx)) {
selectivity = all_predicate_sel.at(idx).sel_;
} else {
selectivity = DEFAULT_SEL;
}
return ret;
}
int ObConstSelEstimator::get_const_sel(const OptSelectivityCtx &ctx,
const ObRawExpr &qual,
double &selectivity)
{
int ret = OB_SUCCESS;
const ParamStore *params = ctx.get_params();
const ObDMLStmt *stmt = ctx.get_stmt();
if (OB_ISNULL(params) || OB_ISNULL(stmt)) {
ret = OB_ERR_UNEXPECTED;
LOG_WARN("get unexpected null", K(ret), K(params), K(stmt));
} else if (ObOptEstUtils::is_calculable_expr(qual, params->count())) {
ObObj const_value;
bool got_result = false;
bool is_true = false;
if (OB_FAIL(ObSQLUtils::calc_const_or_calculable_expr(ctx.get_opt_ctx().get_exec_ctx(),
&qual,
const_value,
got_result,
ctx.get_allocator()))) {
LOG_WARN("failed to calc const or calculable expr", K(ret));
} else if (!got_result) {
selectivity = DEFAULT_SEL;
} else if (OB_FAIL(ObObjEvaluator::is_true(const_value, is_true))) {
LOG_WARN("failed to check is const value true", K(ret));
} else {
selectivity = is_true ? 1.0 : 0.0;
}
} else {
selectivity = DEFAULT_SEL;
}
return ret;
}
int ObColumnSelEstimator::get_column_sel(const OptTableMetas &table_metas,
const OptSelectivityCtx &ctx,
const ObRawExpr &qual,
double &selectivity)
{
int ret = OB_SUCCESS;
selectivity = DEFAULT_SEL;
double distinct_sel = 0.0;
double null_sel = 0.0;
if (!ob_is_string_or_lob_type(qual.get_data_type())) {
if (OB_FAIL(ObOptSelectivity::check_column_in_current_level_stmt(ctx.get_stmt(), qual))) {
LOG_WARN("Failed to check column in cur level stmt", K(ret));
} else if (OB_FAIL(ObOptSelectivity::get_column_basic_sel(table_metas, ctx, qual, &distinct_sel, &null_sel))) {
LOG_WARN("Failed to calc basic equal sel", K(ret));
} else {
selectivity = 1.0 - distinct_sel - null_sel;
}
}
return ret;
}
int ObInSelEstimator::get_in_sel(const OptTableMetas &table_metas,
const OptSelectivityCtx &ctx,
const ObRawExpr &qual,
double &selectivity)
{
int ret = OB_SUCCESS;
selectivity = 0.0;
double tmp_selectivity = 1.0;
double distinct_sel = 1.0;
double null_sel = 0.0;
const ObRawExpr *left_expr = NULL;
const ObRawExpr *right_expr = NULL;
const ObRawExpr *param_expr = NULL;
bool contain_null = false;
if (OB_UNLIKELY(2 != qual.get_param_count()) ||
OB_ISNULL(left_expr = qual.get_param_expr(0)) ||
OB_ISNULL(right_expr = qual.get_param_expr(1)) ||
T_OP_ROW != right_expr->get_expr_type()) {
ret = OB_ERR_UNEXPECTED;
LOG_WARN("get unexpect expr", K(ret), K(qual), K(left_expr), K(right_expr));
} else if (OB_FAIL(ObOptSelectivity::remove_ignorable_func_for_est_sel(left_expr))) {
LOG_WARN("failed to remove ignorable function", K(ret));
} else if (OB_LIKELY(left_expr->is_column_ref_expr() && !right_expr->has_flag(CNT_COLUMN))) {
ObOptColumnStatHandle handler;
ObObj expr_value;
bool histogram_valid = false;
const ObColumnRefRawExpr *col = static_cast<const ObColumnRefRawExpr *>(left_expr);
hash::ObHashSet<ObObj> obj_set;
double hist_scale = 0;
if (OB_FAIL(obj_set.create(hash::cal_next_prime(right_expr->get_param_count()),
"OptSelHashSet", "OptSelHashSet"))) {
LOG_WARN("failed to create hash set", K(ret), K(right_expr->get_param_count()));
} else if (OB_FAIL(ObOptSelectivity::get_column_basic_sel(table_metas, ctx, *left_expr, &distinct_sel, &null_sel))) {
LOG_WARN("failed to get column basic selectivity", K(ret));
} else if (OB_FAIL(ObOptSelectivity::get_column_hist_scale(table_metas, ctx, *left_expr, hist_scale))) {
LOG_WARN("failed to get columnn hist sample scale", K(ret));
} else if (OB_FAIL(ObOptSelectivity::get_histogram_by_column(table_metas, ctx,
col->get_table_id(),
col->get_column_id(),
handler))) {
LOG_WARN("failed to get histogram by column", K(ret));
} else if (handler.stat_ != NULL && handler.stat_->get_histogram().is_valid()) {
histogram_valid = true;
}
for (int64_t i = 0; OB_SUCC(ret) && i < right_expr->get_param_count(); ++i) {
// bool can_use_hist = false;
bool get_value = false;
if (OB_ISNULL(param_expr = right_expr->get_param_expr(i))) {
ret = OB_ERR_UNEXPECTED;
LOG_WARN("get null expr", K(ret));
} else if (OB_FAIL(ObOptSelectivity::get_compare_value(ctx, col, param_expr, expr_value, get_value))) {
// cast may failed due to invalid type or value out of range.
// Then use ndv instead of histogram
get_value = false;
ret = OB_SUCCESS;
}
if (OB_SUCC(ret)) {
if (histogram_valid && get_value) {
double null_sel = 0;
if (OB_HASH_EXIST == obj_set.exist_refactored(expr_value)) {
// duplicate value, do nothing
} else if (OB_FAIL(obj_set.set_refactored(expr_value))) {
LOG_WARN("failed to set refactorcd", K(ret), K(expr_value));
} else if (OB_FAIL(ObOptSelectivity::get_equal_pred_sel(handler.stat_->get_histogram(),
expr_value,
hist_scale,
tmp_selectivity))) {
LOG_WARN("failed to get equal density", K(ret));
} else {
selectivity += tmp_selectivity * (1 - null_sel);
}
} else if (!get_value) {
// invalid value, for example c1 in (exec_param). Do not check obj exists.
if (param_expr->get_result_type().is_null()) {
contain_null = true;
} else {
selectivity += distinct_sel;
}
} else if (OB_HASH_EXIST == obj_set.exist_refactored(expr_value)) {
// do nothing
} else if (OB_FAIL(obj_set.set_refactored(expr_value))) {
LOG_WARN("failed to set refactorcd", K(ret), K(expr_value));
} else if (expr_value.is_null()) {
contain_null = true;
} else {
selectivity += distinct_sel;
}
}
}
if (obj_set.created()) {
int tmp_ret = OB_SUCCESS;
if (OB_SUCCESS != (tmp_ret = obj_set.destroy())) {
LOG_WARN("failed to destroy hash set", K(tmp_ret), K(ret));
ret = COVER_SUCC(tmp_ret);
}
}
} else {
for (int64_t i = 0; OB_SUCC(ret) && i < right_expr->get_param_count(); ++i) {
if (OB_ISNULL(param_expr = right_expr->get_param_expr(i))) {
ret = OB_ERR_UNEXPECTED;
LOG_WARN("get null expr", K(ret));
} else if (OB_FAIL(ObEqualSelEstimator::get_equal_sel(table_metas, ctx, *left_expr, *param_expr,
false, tmp_selectivity))) {
LOG_WARN("Failed to get equal sel", K(ret), KPC(left_expr));
} else {
selectivity += tmp_selectivity;
}
}
}
selectivity = ObOptSelectivity::revise_between_0_1(selectivity);
if (OB_SUCC(ret) && T_OP_NOT_IN == qual.get_expr_type()) {
selectivity = 1.0 - selectivity;
if (contain_null) {
selectivity = 0.0;
} else if (left_expr->has_flag(CNT_COLUMN) && !right_expr->has_flag(CNT_COLUMN)) {
ObSEArray<ObRawExpr*, 2> cur_vars;
if (OB_FAIL(ObRawExprUtils::extract_column_exprs(left_expr, cur_vars))) {
LOG_WARN("failed to extract column exprs", K(ret));
} else if (1 == cur_vars.count()) { // only one column, consider null_sel
if (OB_ISNULL(cur_vars.at(0))) {
ret = OB_ERR_UNEXPECTED;
LOG_WARN("expr is null", K(ret));
} else if (OB_FAIL(ObOptSelectivity::get_column_basic_sel(table_metas, ctx, *cur_vars.at(0),
&distinct_sel, &null_sel))) {
LOG_WARN("failed to get column basic sel", K(ret));
} else if (distinct_sel > ((1.0 - null_sel) / 2.0)) {
// ndv < 2
// TODO: @yibo 这个refine过程不太理解
selectivity = distinct_sel / 2.0;
} else {
selectivity -= null_sel;
selectivity = std::max(distinct_sel, selectivity); // at least one distinct_sel
}
} else { }//do nothing
}
}
return ret;
}
int ObIsSelEstimator::get_is_sel(const OptTableMetas &table_metas,
const OptSelectivityCtx &ctx,
const ObRawExpr &qual,
double &selectivity)
{
int ret = OB_SUCCESS;
selectivity = DEFAULT_SEL;
const ParamStore *params = ctx.get_params();
const ObDMLStmt *stmt = ctx.get_stmt();
const ObRawExpr *left_expr = qual.get_param_expr(0);
const ObRawExpr *right_expr = qual.get_param_expr(1);
ObObj result;
bool got_result = false;
if (OB_ISNULL(params) || OB_ISNULL(stmt) || OB_ISNULL(left_expr) || OB_ISNULL(right_expr)) {
ret = OB_ERR_UNEXPECTED;
LOG_WARN("get unexpect null", K(ret), K(params), K(stmt), K(left_expr), K(right_expr));
} else if (OB_UNLIKELY(!ObOptEstUtils::is_calculable_expr(*right_expr, params->count()))) {
// do nothing
} else if (OB_FAIL(ObSQLUtils::calc_const_or_calculable_expr(ctx.get_opt_ctx().get_exec_ctx(),
right_expr,
result,
got_result,
ctx.get_allocator()))) {
LOG_WARN("failed to calculate const or calculable expr", K(ret));
} else if (!got_result) {
// do nothing
} else if (OB_FAIL(ObOptSelectivity::remove_ignorable_func_for_est_sel(left_expr))) {
LOG_WARN("failed to remove ignorable func", KPC(left_expr));
} else if (left_expr->is_column_ref_expr()) {
if (OB_FAIL(ObOptSelectivity::check_column_in_current_level_stmt(stmt, *left_expr))) {
LOG_WARN("Failed to check column whether is in current stmt", K(ret));
} else if (OB_LIKELY(result.is_null())) {
if (OB_FAIL(ObOptSelectivity::get_column_basic_sel(table_metas, ctx, *left_expr, NULL, &selectivity))) {
LOG_WARN("Failed to get var distinct sel", K(ret));
}
} else if (result.is_tinyint() &&
!ob_is_string_or_lob_type(left_expr->get_data_type())) {
double distinct_sel = 0.0;
double null_sel = 0.0;
if (OB_FAIL(ObOptSelectivity::get_column_basic_sel(table_metas, ctx, *left_expr, &distinct_sel, &null_sel))) {
LOG_WARN("Failed to get var distinct sel", K(ret));
} else {
//distinct_num < 2. That is distinct_num only 1,(As double and statistics not completely accurate,
//use (1 - null_sel)/ 2.0 to check)
if (distinct_sel > (1 - null_sel) / 2.0) {
//Ihe formula to calc sel of 'c1 is true' is (1 - distinct_sel(var = 0) - null_sel).
//If distinct_num is 1, the sel would be 0.0.
//But we don't kown whether distinct value is 0. So gess the selectivity: (1 - null_sel)/2.0
distinct_sel = (1- null_sel) / 2.0;//don't kow the value, just get half.
}
selectivity = (result.is_true()) ? (1 - distinct_sel - null_sel) : distinct_sel;
}
} else { }//default sel
} else {
//TODO func(cnt_column)
}
if (T_OP_IS_NOT == qual.get_expr_type()) {
selectivity = 1.0 - selectivity;
}
return ret;
}
int ObCmpSelEstimator::get_range_cmp_sel(const OptTableMetas &table_metas,
const OptSelectivityCtx &ctx,
const ObRawExpr &qual,
double &selectivity)
{
int ret = OB_SUCCESS;
selectivity = DEFAULT_INEQ_SEL;
const ObRawExpr *left_expr = qual.get_param_expr(0);
const ObRawExpr *right_expr = qual.get_param_expr(1);
if (OB_ISNULL(left_expr) || OB_ISNULL(right_expr)) {
ret = OB_ERR_UNEXPECTED;
LOG_WARN("get null expr", K(ret), K(left_expr), K(right_expr));
} else if (OB_FAIL(ObOptimizerUtil::get_expr_without_lossless_cast(left_expr, left_expr)) ||
OB_FAIL(ObOptimizerUtil::get_expr_without_lossless_cast(right_expr, right_expr))) {
LOG_WARN("failed to get expr without lossless cast", K(ret));
} else if ((left_expr->is_column_ref_expr() && right_expr->is_const_expr()) ||
(left_expr->is_const_expr() && right_expr->is_column_ref_expr())) {
const ObRawExpr *col_expr = left_expr->is_column_ref_expr() ? left_expr : right_expr;
if (OB_FAIL(ObOptSelectivity::get_column_range_sel(table_metas, ctx,
static_cast<const ObColumnRefRawExpr&>(*col_expr),
qual, selectivity))) {
LOG_WARN("Failed to get column range sel", K(qual), K(ret));
}
} else if (T_OP_ROW == left_expr->get_expr_type() && T_OP_ROW == right_expr->get_expr_type()) {
//only deal (col1, xx, xx) CMP (const, xx, xx)
if (left_expr->get_param_count() == 1 && OB_NOT_NULL(left_expr->get_param_expr(0)) &&
T_OP_ROW == left_expr->get_param_expr(0)->get_expr_type()) {
left_expr = left_expr->get_param_expr(0);
}
if (right_expr->get_param_count() == 1 && OB_NOT_NULL(right_expr->get_param_expr(0)) &&
T_OP_ROW == right_expr->get_param_expr(0)->get_expr_type()) {
right_expr = right_expr->get_param_expr(0);
}
if (left_expr->get_param_count() != right_expr->get_param_count()) {
ret = OB_ERR_UNEXPECTED;
LOG_WARN("param count should be equal",
K(left_expr->get_param_count()), K(right_expr->get_param_count()));
} else if (left_expr->get_param_count() <= 1) {
// do nothing
} else if (OB_ISNULL(left_expr = left_expr->get_param_expr(0)) ||
OB_ISNULL(right_expr = right_expr->get_param_expr(0))) {
ret = OB_ERR_UNEXPECTED;
LOG_WARN("get unexpected null", K(ret), K(left_expr), K(right_expr));
} else if ((left_expr->is_column_ref_expr() && right_expr->is_const_expr()) ||
(left_expr->is_const_expr() && right_expr->is_column_ref_expr())) {
const ObRawExpr *col_expr = (left_expr->is_column_ref_expr()) ? (left_expr) : (right_expr);
if (OB_FAIL(ObOptSelectivity::get_column_range_sel(table_metas, ctx,
static_cast<const ObColumnRefRawExpr&>(*col_expr),
qual, selectivity))) {
LOG_WARN("failed to get column range sel", K(ret));
}
} else { /* no dothing */ }
}
return ret;
}
int ObBtwSelEstimator::get_btw_sel(const OptTableMetas &table_metas,
const OptSelectivityCtx &ctx,
const ObRawExpr &qual,
double &selectivity)
{
int ret = OB_SUCCESS;
selectivity = DEFAULT_SEL;
const ObRawExpr *cmp_expr = NULL;
const ObRawExpr *l_expr = NULL;
const ObRawExpr *r_expr = NULL;
const ObRawExpr *col_expr = NULL;
const ParamStore *params = ctx.get_params();
if (3 != qual.get_param_count()) {
ret = OB_ERR_UNEXPECTED;
LOG_WARN("between expr should have 3 param", K(ret), K(qual));
} else if (OB_ISNULL(params) ||
OB_ISNULL(cmp_expr = qual.get_param_expr(0)) ||
OB_ISNULL(l_expr = qual.get_param_expr(1)) ||
OB_ISNULL(r_expr = qual.get_param_expr(2))) {
ret = OB_ERR_UNEXPECTED;
LOG_WARN("get null params", K(ret), K(params), K(cmp_expr), K(l_expr), K(r_expr));
} else if (OB_FAIL(ObOptimizerUtil::get_expr_without_lossless_cast(cmp_expr, cmp_expr))) {
LOG_WARN("failed to get expr without lossless cast", K(ret));
} else if (cmp_expr->is_column_ref_expr() &&
ObOptEstUtils::is_calculable_expr(*l_expr, params->count()) &&
ObOptEstUtils::is_calculable_expr(*r_expr, params->count())) {
col_expr = cmp_expr;
} else if (ObOptEstUtils::is_calculable_expr(*cmp_expr, params->count()) &&
l_expr->is_column_ref_expr() &&
ObOptEstUtils::is_calculable_expr(*r_expr, params->count())) {
col_expr = l_expr;
} else if (ObOptEstUtils::is_calculable_expr(*cmp_expr, params->count()) &&
ObOptEstUtils::is_calculable_expr(*l_expr, params->count()) &&
r_expr->is_column_ref_expr()) {
col_expr = r_expr;
}
if (NULL != col_expr) {
if (OB_FAIL(ObOptSelectivity::get_column_range_sel(table_metas, ctx,
static_cast<const ObColumnRefRawExpr&>(*col_expr),
qual, selectivity))) {
LOG_WARN("failed to get column range sel", K(ret));
}
}
return ret;
}
int ObEqualSelEstimator::get_sel(const OptTableMetas &table_metas,
const OptSelectivityCtx &ctx,
double &selectivity,
ObIArray<ObExprSelPair> &all_predicate_sel)
{
int ret = OB_SUCCESS;
const ObRawExpr &qual = *expr_;
if (OB_ISNULL(expr_)) {
ret = OB_ERR_UNEXPECTED;
LOG_WARN("unexpected null expr", KPC(this));
} else {
const ObRawExpr *left_expr = qual.get_param_expr(0);
const ObRawExpr *right_expr = qual.get_param_expr(1);
if (OB_ISNULL(left_expr) || OB_ISNULL(right_expr)) {
ret = OB_ERR_UNEXPECTED;
LOG_WARN("get null expr", K(ret), K(qual), K(left_expr), K(right_expr));
} else if (T_OP_NE == qual.get_expr_type()) {
if (OB_FAIL(get_ne_sel(table_metas, ctx, *left_expr, *right_expr, selectivity))) {
LOG_WARN("failed to get equal sel", K(ret));
}
} else if (T_OP_EQ == qual.get_expr_type() ||
T_OP_NSEQ == qual.get_expr_type()) {
if (OB_FAIL(get_equal_sel(table_metas, ctx, *left_expr, *right_expr,
T_OP_NSEQ == qual.get_expr_type(), selectivity))) {
LOG_WARN("failed to get equal sel", K(ret));
}
} else {
ret = OB_ERR_UNEXPECTED;
LOG_WARN("unexpected expr", KPC(this));
}
}
return ret;
}
int ObEqualSelEstimator::get_ne_sel(const OptTableMetas &table_metas,
const OptSelectivityCtx &ctx,
const ObRawExpr &l_expr,
const ObRawExpr &r_expr,
double &selectivity)
{
int ret = OB_SUCCESS;
selectivity = DEFAULT_SEL;
if (T_OP_ROW == l_expr.get_expr_type() && T_OP_ROW == r_expr.get_expr_type()) {
// (var1, var2) != (var3, var4) => var1 != var3 or var2 != var4
selectivity = 0;
double tmp_selectivity = 1.0;
const ObRawExpr *l_param = NULL;
const ObRawExpr *r_param = NULL;
const ObRawExpr *l_row = &l_expr;
const ObRawExpr *r_row = &r_expr;
if (l_expr.get_param_count() == 1 && OB_NOT_NULL(l_expr.get_param_expr(0)) &&
T_OP_ROW == l_expr.get_param_expr(0)->get_expr_type()) {
l_row = l_expr.get_param_expr(0);
}
if (r_expr.get_param_count() == 1 && OB_NOT_NULL(r_expr.get_param_expr(0)) &&
T_OP_ROW == r_expr.get_param_expr(0)->get_expr_type()) {
r_row = r_expr.get_param_expr(0);
}
if (OB_UNLIKELY(l_row->get_param_count() != r_row->get_param_count())) {
ret = OB_ERR_UNEXPECTED;
LOG_WARN("get unexpected expr", KPC(l_row), KPC(r_row), K(ret));
} else {
int64_t num = l_row->get_param_count();
for (int64_t i = 0; OB_SUCC(ret) && i < num; ++i) {
if (OB_ISNULL(l_param = l_row->get_param_expr(i)) ||
OB_ISNULL(r_param = r_row->get_param_expr(i))) {
ret = OB_ERR_UNEXPECTED;
LOG_WARN("get null expr", K(ret), K(l_row), K(r_row), K(i));
} else if (OB_FAIL(SMART_CALL(get_ne_sel(table_metas, ctx, *l_param,
*r_param, tmp_selectivity)))) {
LOG_WARN("failed to get equal selectivity", K(ret));
} else {
selectivity += tmp_selectivity - selectivity * tmp_selectivity;
}
}
}
} else if (l_expr.has_flag(CNT_COLUMN) && r_expr.has_flag(CNT_COLUMN)) {
if (OB_FAIL(get_cntcol_op_cntcol_sel(table_metas, ctx, l_expr, r_expr, T_OP_NE, selectivity))) {
LOG_WARN("failed to get cntcol op cntcol sel", K(ret));
}
} else if ((l_expr.has_flag(CNT_COLUMN) && !r_expr.has_flag(CNT_COLUMN)) ||
(!l_expr.has_flag(CNT_COLUMN) && r_expr.has_flag(CNT_COLUMN))) {
const ObRawExpr *cnt_col_expr = l_expr.has_flag(CNT_COLUMN) ? &l_expr : &r_expr;
const ObRawExpr *const_expr = l_expr.has_flag(CNT_COLUMN) ? &r_expr : &l_expr;
ObSEArray<const ObColumnRefRawExpr *, 2> column_exprs;
bool only_monotonic_op = true;
bool null_const = false;
double ndv = 1.0;
double nns = 0;
bool can_use_hist = false;
ObObj expr_value;
ObOptColumnStatHandle handler;
if (OB_FAIL(ObOptSelectivity::remove_ignorable_func_for_est_sel(cnt_col_expr))) {
LOG_WARN("failed to remove ignorable function", K(ret));
} else if (cnt_col_expr->is_column_ref_expr()) {
// column != const
const ObColumnRefRawExpr *col = static_cast<const ObColumnRefRawExpr*>(cnt_col_expr);
if (OB_FAIL(ObOptSelectivity::get_histogram_by_column(table_metas, ctx, col->get_table_id(),
col->get_column_id(), handler))) {
LOG_WARN("failed to get histogram by column", K(ret));
} else if (handler.stat_ == NULL || !handler.stat_->get_histogram().is_valid()) {
// do nothing
} else if (OB_FAIL(ObOptSelectivity::get_compare_value(ctx, col, const_expr, expr_value, can_use_hist))) {
// cast may failed due to invalid type or value out of range.
// Then use ndv instead of histogram
can_use_hist = false;
ret = OB_SUCCESS;
}
}
if (OB_SUCC(ret)) {
if (can_use_hist) {
double hist_scale = 0;
if (OB_FAIL(ObOptSelectivity::get_column_hist_scale(table_metas, ctx, *cnt_col_expr, hist_scale))) {
LOG_WARN("failed to get columnn hist sample scale", K(ret));
} else if (OB_FAIL(ObOptSelectivity::get_equal_pred_sel(handler.stat_->get_histogram(), expr_value,
hist_scale, selectivity))) {
LOG_WARN("Failed to get equal density", K(ret));
} else if (OB_FAIL(ObOptSelectivity::get_column_ndv_and_nns(table_metas, ctx, *cnt_col_expr, NULL, &nns))) {
LOG_WARN("failed to get column ndv and nns", K(ret));
} else {
selectivity = (1.0 - selectivity) * nns;
}
} else if (OB_FAIL(ObOptEstUtils::extract_column_exprs_with_op_check(cnt_col_expr,
column_exprs,
only_monotonic_op))) {
LOG_WARN("failed to extract column exprs with op check", K(ret));
} else if (!only_monotonic_op || column_exprs.count() > 1) {
selectivity = DEFAULT_SEL; //cnt_col_expr contain not monotonic op OR has more than 1 var
} else if (OB_UNLIKELY(1 != column_exprs.count()) || OB_ISNULL(column_exprs.at(0))) {
ret = OB_ERR_UNEXPECTED;
LOG_WARN("get unexpected contain column expr", K(ret), K(*cnt_col_expr));
} else if (OB_FAIL(ObOptEstUtils::if_expr_value_null(ctx.get_params(),
*const_expr,
ctx.get_opt_ctx().get_exec_ctx(),
ctx.get_allocator(),
null_const))) {
LOG_WARN("Failed to check whether expr null value", K(ret));
} else if (null_const) {
selectivity = 0.0;
} else if (OB_FAIL(ObOptSelectivity::get_column_ndv_and_nns(table_metas, ctx, *column_exprs.at(0), &ndv, &nns))) {
LOG_WARN("failed to get column ndv and nns", K(ret));
} else if (ndv < 2.0) {
//The reason doing this is similar as get_is_sel function.
//If distinct_num is 1, As formula, selectivity of 'c1 != 1' would be 0.0.
//But we don't know the distinct value, so just get the half selectivity.
selectivity = nns / ndv / 2.0;
} else {
selectivity = nns * (1.0 - 1 / ndv);
}
}
} else { }//do nothing
return ret;
}
int ObEqualSelEstimator::get_equal_sel(const OptTableMetas &table_metas,
const OptSelectivityCtx &ctx,
const ObRawExpr &qual,
double &selectivity)
{
int ret = OB_SUCCESS;
const ObRawExpr *left_expr = qual.get_param_expr(0);
const ObRawExpr *right_expr = qual.get_param_expr(1);
if (OB_ISNULL(left_expr) || OB_ISNULL(right_expr)) {
ret = OB_ERR_UNEXPECTED;
LOG_WARN("get null expr", K(ret), K(qual), K(left_expr), K(right_expr));
} else if (OB_FAIL(get_equal_sel(table_metas, ctx, *left_expr, *right_expr,
T_OP_NSEQ == qual.get_expr_type(), selectivity))) {
LOG_WARN("failed to get equal sel", K(ret));
}
return ret;
}
int ObEqualSelEstimator::get_equal_sel(const OptTableMetas &table_metas,
const OptSelectivityCtx &ctx,
const ObRawExpr &left_expr,
const ObRawExpr &right_expr,
const bool null_safe,
double &selectivity)
{
int ret = OB_SUCCESS;
if (T_OP_ROW == left_expr.get_expr_type() && T_OP_ROW == right_expr.get_expr_type()) {
// normally row equal row will unnest as `var = var and var = var ...`
selectivity = 1.0;
double tmp_selectivity = 1.0;
const ObRawExpr *l_expr = NULL;
const ObRawExpr *r_expr = NULL;
const ObRawExpr *l_row = &left_expr;
const ObRawExpr *r_row = &right_expr;
// (c1, c2) in ((const1, const2)) may transform to (c1, c2) = ((const1, const2))
if (left_expr.get_param_count() == 1 && OB_NOT_NULL(left_expr.get_param_expr(0)) &&
T_OP_ROW == left_expr.get_param_expr(0)->get_expr_type()) {
l_row = left_expr.get_param_expr(0);
}
if (right_expr.get_param_count() == 1 && OB_NOT_NULL(right_expr.get_param_expr(0)) &&
T_OP_ROW == right_expr.get_param_expr(0)->get_expr_type()) {
r_row = right_expr.get_param_expr(0);
}
if (OB_UNLIKELY(l_row->get_param_count() != r_row->get_param_count())) {
ret = OB_ERR_UNEXPECTED;
LOG_WARN("get unexpected expr", KPC(l_row), KPC(l_row), K(ret));
} else {
int64_t num = l_row->get_param_count();
for (int64_t i = 0; OB_SUCC(ret) && i < num; ++i) {
if (OB_ISNULL(l_expr = l_row->get_param_expr(i)) ||
OB_ISNULL(r_expr = r_row->get_param_expr(i))) {
ret = OB_ERR_UNEXPECTED;
LOG_WARN("get null expr", K(ret), K(l_expr), K(r_expr), K(i));
} else if (OB_FAIL(SMART_CALL(get_equal_sel(table_metas, ctx, *l_expr,
*r_expr, null_safe, tmp_selectivity)))) {
LOG_WARN("failed to get equal selectivity", K(ret));
} else {
selectivity *= tmp_selectivity;
}
}
}
} else if ((left_expr.has_flag(CNT_COLUMN) && !right_expr.has_flag(CNT_COLUMN)) ||
(!left_expr.has_flag(CNT_COLUMN) && right_expr.has_flag(CNT_COLUMN))) {
// column = const
const ObRawExpr *cnt_col_expr = left_expr.has_flag(CNT_COLUMN) ? &left_expr : &right_expr;
const ObRawExpr &calc_expr = left_expr.has_flag(CNT_COLUMN) ? right_expr : left_expr;
ObOptColumnStatHandle handler;
ObObj expr_value;
bool can_use_hist = false;
if (OB_FAIL(ObOptSelectivity::remove_ignorable_func_for_est_sel(cnt_col_expr))) {
LOG_WARN("failed to remove ignorable function", K(ret));
} else if (cnt_col_expr->is_column_ref_expr()) {
const ObColumnRefRawExpr* col = static_cast<const ObColumnRefRawExpr*>(cnt_col_expr);
if (OB_FAIL(ObOptSelectivity::get_histogram_by_column(table_metas, ctx, col->get_table_id(),
col->get_column_id(), handler))) {
LOG_WARN("failed to get histogram by column", K(ret));
} else if (handler.stat_ == NULL || !handler.stat_->get_histogram().is_valid()) {
// do nothing
} else if (OB_FAIL(ObOptSelectivity::get_compare_value(ctx, col, &calc_expr, expr_value, can_use_hist))) {
// cast may failed due to invalid type or value out of range.
// Then use ndv instead of histogram
can_use_hist = false;
ret = OB_SUCCESS;
}
}
if (OB_SUCC(ret)) {
if (can_use_hist) {
double nns = 0;
double hist_scale = 0;
if (OB_FAIL(ObOptSelectivity::get_column_hist_scale(table_metas, ctx, *cnt_col_expr, hist_scale))) {
LOG_WARN("failed to get columnn hist sample scale", K(ret));
} else if (OB_FAIL(ObOptSelectivity::get_equal_pred_sel(handler.stat_->get_histogram(), expr_value,
hist_scale, selectivity))) {
LOG_WARN("Failed to get equal density", K(ret));
} else if (OB_FAIL(ObOptSelectivity::get_column_ndv_and_nns(table_metas, ctx, *cnt_col_expr, NULL, &nns))) {
LOG_WARN("failed to get column ndv and nns", K(ret));
} else {
selectivity *= nns;
}
} else if (OB_FAIL(get_simple_equal_sel(table_metas, ctx, *cnt_col_expr,
&calc_expr, null_safe, selectivity))) {
LOG_WARN("failed to get simple equal selectivity", K(ret));
}
LOG_TRACE("succeed to get equal predicate sel", K(can_use_hist), K(selectivity));
}
} else if (left_expr.has_flag(CNT_COLUMN) && right_expr.has_flag(CNT_COLUMN)) {
if (OB_FAIL(get_cntcol_op_cntcol_sel(table_metas, ctx, left_expr, right_expr,
null_safe ? T_OP_NSEQ : T_OP_EQ, selectivity))) {
LOG_WARN("failed to get contain column equal contain column selectivity", K(ret));
} else {
LOG_TRACE("succeed to get contain column equal contain column sel", K(selectivity), K(ret));
}
} else {
// CONST_PARAM = CONST_PARAM
const ParamStore *params = ctx.get_params();
if (OB_ISNULL(params)) {
ret = OB_INVALID_ARGUMENT;
LOG_WARN("Params is NULL", K(ret));
} else if (ObOptEstUtils::is_calculable_expr(left_expr, params->count()) &&
ObOptEstUtils::is_calculable_expr(right_expr, params->count())) {
// 1 in (c1, 2, 3) will reach this branch
bool equal = false;
if (OB_FAIL(ObOptEstUtils::if_expr_value_equal(const_cast<ObOptimizerContext &>(ctx.get_opt_ctx()),
ctx.get_stmt(),
left_expr, right_expr, null_safe, equal))) {
LOG_WARN("Failed to check hvae equal expr", K(ret));
} else {
selectivity = equal ? 1.0 : 0.0;
}
} else {
selectivity = DEFAULT_EQ_SEL;
}
}
return ret;
}
int ObEqualSelEstimator::get_simple_equal_sel(const OptTableMetas &table_metas,
const OptSelectivityCtx &ctx,
const ObRawExpr &cnt_col_expr,
const ObRawExpr *calculable_expr,
const bool null_safe,
double &selectivity)
{
int ret = OB_SUCCESS;
ObSEArray<const ObColumnRefRawExpr*, 2> column_exprs;
bool only_monotonic_op = true;
const ObColumnRefRawExpr *column_expr = NULL;
double distinct_sel = 1.0;
double null_sel = 1.0;
bool is_null_value = false;
if (OB_FAIL(ObOptEstUtils::extract_column_exprs_with_op_check(&cnt_col_expr,
column_exprs,
only_monotonic_op))) {
LOG_WARN("failed to extract column exprs with op check", K(ret));
} else if (!only_monotonic_op || column_exprs.count() > 1) {
// cnt_col_expr contain not monotonic op OR has more than 1 column
ObSEArray<ObRawExpr *, 1> exprs;
ObRawExpr *expr = const_cast<ObRawExpr*>(&cnt_col_expr);
double ndv = 1.0;
bool refine_ndv_by_current_rows = (ctx.get_current_rows() >= 0);
if (OB_FAIL(exprs.push_back(expr))) {
LOG_WARN("failed to push back", K(ret));
} else if (OB_FAIL(ObOptSelectivity::calculate_distinct(table_metas, ctx, exprs, ctx.get_current_rows(),
ndv, refine_ndv_by_current_rows))) {
LOG_WARN("Failed to calculate distinct", K(ret));
} else {
selectivity = (ndv > 1.0) ? 1 / ndv : DEFAULT_EQ_SEL;
}
} else if (OB_UNLIKELY(1 != column_exprs.count()) ||
OB_ISNULL(column_expr = column_exprs.at(0))) {
ret = OB_ERR_UNEXPECTED;
LOG_WARN("get unexpect column expr", K(column_exprs), K(cnt_col_expr), K(column_expr));
} else if (OB_FAIL(ObOptSelectivity::get_column_basic_sel(table_metas, ctx, *column_expr,
&distinct_sel, &null_sel))) {
LOG_WARN("failed to get column basic selelectivity", K(ret));
} else if (NULL == calculable_expr) {
selectivity = distinct_sel;
} else if (OB_FAIL(ObOptEstUtils::if_expr_value_null(ctx.get_params(),
*calculable_expr,
ctx.get_opt_ctx().get_exec_ctx(),
ctx.get_allocator(),
is_null_value))) {
LOG_WARN("failed to check if expr value null", K(ret));
} else if (!is_null_value) {
selectivity = distinct_sel;
} else if (null_safe) {
selectivity = null_sel;
} else {
selectivity = 0.0;
}
return ret;
}
int ObEqualSelEstimator::get_cntcol_op_cntcol_sel(const OptTableMetas &table_metas,
const OptSelectivityCtx &ctx,
const ObRawExpr &input_left_expr,
const ObRawExpr &input_right_expr,
ObItemType op_type,
double &selectivity)
{
int ret = OB_SUCCESS;
double left_ndv = 1.0;
double right_ndv = 1.0;
double left_nns = 0.0;
double right_nns = 0.0;
selectivity = DEFAULT_EQ_SEL;
const ObRawExpr* left_expr = &input_left_expr;
const ObRawExpr* right_expr = &input_right_expr;
if (OB_FAIL(ObOptSelectivity::remove_ignorable_func_for_est_sel(left_expr)) ||
OB_FAIL(ObOptSelectivity::remove_ignorable_func_for_est_sel(right_expr))) {
LOG_WARN("failed to remove ignorable function", K(ret));
} else if (OB_ISNULL(left_expr) || OB_ISNULL(right_expr)) {
ret = OB_ERR_UNEXPECTED;
LOG_WARN("get unexpected null", K(ret), K(left_expr), K(right_expr));
} else if (left_expr->is_column_ref_expr() && right_expr->is_column_ref_expr()) {
const ObColumnRefRawExpr* left_col = NULL;
const ObColumnRefRawExpr* right_col = NULL;
if (OB_FAIL(ObOptSelectivity::filter_one_column_by_equal_set(table_metas, ctx, left_expr, left_expr))) {
LOG_WARN("failed filter column by equal set", K(ret));
} else if (OB_FAIL(ObOptSelectivity::filter_one_column_by_equal_set(table_metas, ctx, right_expr, right_expr))) {
LOG_WARN("failed filter column by equal set", K(ret));
} else if (OB_FAIL(ObOptSelectivity::get_column_ndv_and_nns(table_metas, ctx, *left_expr, &left_ndv, &left_nns))) {
LOG_WARN("failed to get column basic sel", K(ret));
} else if (OB_FAIL(ObOptSelectivity::get_column_ndv_and_nns(table_metas, ctx, *right_expr,
&right_ndv, &right_nns))) {
LOG_WARN("failed to get column basic sel", K(ret));
} else if (FALSE_IT(left_col = static_cast<const ObColumnRefRawExpr*>(left_expr)) ||
FALSE_IT(right_col = static_cast<const ObColumnRefRawExpr*>(right_expr))) {
// never reach
} else if (left_expr->get_relation_ids() == right_expr->get_relation_ids()) {
if (left_col->get_column_id() == right_col->get_column_id()) {
// same table same column
if (T_OP_NSEQ == op_type) {
selectivity = 1.0;
} else if (T_OP_EQ == op_type) {
selectivity = left_nns;
} else if (T_OP_NE == op_type) {
selectivity = 0.0;
}
} else {
//same table different column
if (T_OP_NSEQ == op_type) {
selectivity = left_nns * right_nns / std::max(left_ndv, right_ndv)
+ (1 - left_nns) * (1 - right_nns);
} else if (T_OP_EQ == op_type) {
selectivity = left_nns * right_nns / std::max(left_ndv, right_ndv);
} else if (T_OP_NE == op_type) {
selectivity = left_nns * right_nns * (1 - 1/std::max(left_ndv, right_ndv));
}
}
} else {
// different table
ObOptColumnStatHandle left_handler;
ObOptColumnStatHandle right_handler;
obj_cmp_func cmp_func = NULL;
bool calc_with_hist = false;
if (!ObObjCmpFuncs::can_cmp_without_cast(left_col->get_result_type(),
right_col->get_result_type(),
CO_EQ, cmp_func)) {
// do nothing
} else if (OB_FAIL(ObOptSelectivity::get_histogram_by_column(table_metas, ctx, left_col->get_table_id(),
left_col->get_column_id(), left_handler))) {
LOG_WARN("failed to get histogram by column", K(ret));
} else if (OB_FAIL(ObOptSelectivity::get_histogram_by_column(table_metas, ctx, right_col->get_table_id(),
right_col->get_column_id(), right_handler))) {
LOG_WARN("failed to get histogram by column", K(ret));
} else if (left_handler.stat_ != NULL && right_handler.stat_ != NULL &&
left_handler.stat_->get_histogram().is_frequency() &&
right_handler.stat_->get_histogram().is_frequency()) {
calc_with_hist = true;
}
if (OB_FAIL(ret)) {
} else if (IS_SEMI_ANTI_JOIN(ctx.get_join_type())) {
if (OB_ISNULL(ctx.get_left_rel_ids()) || OB_ISNULL(ctx.get_right_rel_ids())) {
ret = OB_ERR_UNEXPECTED;
LOG_WARN("get unexpected null", K(ctx.get_left_rel_ids()), K(ctx.get_right_rel_ids()));
} else if (left_expr->get_relation_ids().overlap(*ctx.get_right_rel_ids()) ||
right_expr->get_relation_ids().overlap(*ctx.get_left_rel_ids())) {
std::swap(left_ndv, right_ndv);
std::swap(left_nns, right_nns);
}
if (OB_SUCC(ret)) {
if (calc_with_hist) {
double total_rows = 0;
double left_rows = 0;
double left_null = 0;
double right_rows = 0;
double right_null = 0;
if (OB_FAIL(ObOptSelectivity::get_join_pred_rows(left_handler.stat_->get_histogram(),
right_handler.stat_->get_histogram(),
true, total_rows))) {
LOG_WARN("failed to get join pred rows", K(ret));
} else if (OB_FAIL(ObOptSelectivity::get_column_basic_info(ctx.get_plan()->get_basic_table_metas(), ctx,
*left_expr, NULL, &left_null, NULL, &left_rows))) {
LOG_WARN("failed to get column basic info", K(ret));
} else if (OB_FAIL(ObOptSelectivity::get_column_basic_info(ctx.get_plan()->get_basic_table_metas(), ctx,
*right_expr, NULL, &right_null, NULL, &right_rows))) {
LOG_WARN("failed to get column basic info", K(ret));
} else if (T_OP_NSEQ == op_type) {
total_rows += right_null > 0 ? left_null : 0;
selectivity = total_rows / left_rows;
} else if (T_OP_EQ == op_type) {
selectivity = total_rows / left_rows;
} else if (T_OP_NE == op_type) {
selectivity = ((left_rows - left_null) * (right_rows - right_null) - total_rows)
/ left_rows / right_rows;
}
} else {
/**
* ## non NULL safe
* a) semi: `(min(ndv1, ndv2) / ndv1) * (1.0 - nullfrac1)`
* ## NULL safe
* a) semi: `(min(ndv1, ndv2) / ndv1) * (1.0 - nullfrac1) + nullfrac2 > 0 && nullsafe ? nullfrac1: 0`
*/
if (IS_LEFT_SEMI_ANTI_JOIN(ctx.get_join_type())) {
if (T_OP_NSEQ == op_type) {
selectivity = (std::min(left_ndv, right_ndv) / left_ndv) * left_nns;
if (1 - right_nns > 0) {
selectivity += (1 - left_nns);
}
} else if (T_OP_EQ == op_type) {
selectivity = (std::min(left_ndv, right_ndv) / left_ndv) * left_nns;
} else if (T_OP_NE == op_type) {
if (right_ndv > 1.0) {
// if right ndv > 1.0, then there must exist one value not equal to left value
selectivity = left_nns;
} else {
selectivity = (1 - 1 / left_ndv) * left_nns;
}
}
} else {
if (T_OP_NSEQ == op_type) {
selectivity = (std::min(left_ndv, right_ndv) / right_ndv) * right_nns;
if (1 - left_nns > 0) {
selectivity += (1 - right_nns);
}
} else if (T_OP_EQ == op_type) {
selectivity = (std::min(left_ndv, right_ndv) / right_ndv) * right_nns;
} else if (T_OP_NE == op_type) {
if (left_ndv > 1.0) {
// if left ndv > 1.0, then there must exist one value not equal to right value
selectivity = right_nns;
} else {
selectivity = (1 - 1 / right_ndv) * right_nns;
}
}
}
}
}
if (OB_SUCC(ret) && selectivity >= 1.0 && IS_ANTI_JOIN(ctx.get_join_type())) {
selectivity = 1 - DEFAULT_ANTI_JOIN_SEL;
}
} else {
// inner join, outer join
if (calc_with_hist) {
// use frequency histogram calculate selectivity
double total_rows = 0;
double left_rows = 0;
double left_null = 0;
double right_rows = 0;
double right_null = 0;
if (OB_FAIL(ObOptSelectivity::get_join_pred_rows(left_handler.stat_->get_histogram(),
right_handler.stat_->get_histogram(),
false, total_rows))) {
LOG_WARN("failed to get join pred rows", K(ret));
} else if (OB_FAIL(ObOptSelectivity::get_column_basic_info(ctx.get_plan()->get_basic_table_metas(), ctx,
*left_expr, NULL, &left_null, NULL, &left_rows))) {
LOG_WARN("failed to get column basic info", K(ret));
} else if (OB_FAIL(ObOptSelectivity::get_column_basic_info(ctx.get_plan()->get_basic_table_metas(), ctx,
*right_expr, NULL, &right_null, NULL, &right_rows))) {
LOG_WARN("failed to get column basic info", K(ret));
} else if (T_OP_NSEQ == op_type) {
selectivity = (total_rows + left_null * right_null) / left_rows / right_rows;
} else if (T_OP_EQ == op_type) {
selectivity = total_rows / left_rows / right_rows;
} else if (T_OP_NE == op_type) {
selectivity = ((left_rows - left_null) * (right_rows - right_null) - total_rows)
/ left_rows / right_rows;
}
} else {
/**
* ## non NULL safe
* (1.0 - nullfrac1) * (1.0 - nullfrac2) / MAX(nd1, nd2)
* ## NULL safe
* (1.0 - nullfrac1) * (1.0 - nullfrac2) / MAX(nd1, nd2) + nullfraf1 * nullfrac2
* 目前不会特殊考虑 outer join 的选择率, 而是在外层对行数进行 revise.
*/
if (T_OP_NSEQ == op_type) {
selectivity = left_nns * right_nns / std::max(left_ndv, right_ndv)
+ (1 - left_nns) * (1 - right_nns);
} else if (T_OP_EQ == op_type) {
selectivity = left_nns * right_nns / std::max(left_ndv, right_ndv);
} else if (T_OP_NE == op_type) {
selectivity = left_nns * right_nns * (1 - 1/std::max(left_ndv, right_ndv));
}
}
}
}
} else {
// func(col) = func(col) or col = func(col)
double left_sel = 0.0;
double right_sel = 0.0;
if (OB_FAIL(get_simple_equal_sel(table_metas, ctx, *left_expr, NULL,
T_OP_NSEQ == op_type, left_sel))) {
LOG_WARN("Failed to get simple predicate sel", K(ret));
} else if (OB_FAIL(get_simple_equal_sel(table_metas, ctx, *right_expr, NULL,
T_OP_NSEQ == op_type, right_sel))) {
LOG_WARN("Failed to get simple predicate sel", K(ret));
} else if (IS_SEMI_ANTI_JOIN(ctx.get_join_type())) {
if (OB_ISNULL(ctx.get_left_rel_ids()) || OB_ISNULL(ctx.get_right_rel_ids())) {
ret = OB_ERR_UNEXPECTED;
LOG_WARN("get unexpected null", K(ctx.get_left_rel_ids()), K(ctx.get_right_rel_ids()));
} else if (left_expr->get_relation_ids().overlap(*ctx.get_right_rel_ids()) ||
right_expr->get_relation_ids().overlap(*ctx.get_left_rel_ids())) {
std::swap(left_sel, right_sel);
}
if (OB_SUCC(ret)) {
if (IS_LEFT_SEMI_ANTI_JOIN(ctx.get_join_type())) {
if (T_OP_NE == op_type) {
selectivity = 1 - left_sel;
} else if (right_sel < OB_DOUBLE_EPSINON) {
selectivity = 1.0;
} else {
selectivity = std::min(left_sel / right_sel, 1.0);
}
if (selectivity >= 1.0 && IS_ANTI_JOIN(ctx.get_join_type())) {
selectivity = 1 - left_sel;
}
} else {
if (T_OP_NE == op_type) {
selectivity = 1 - right_sel;
} else if (left_sel < OB_DOUBLE_EPSINON) {
selectivity = 1.0;
} else {
selectivity = std::min(right_sel / left_sel, 1.0);
}
if (selectivity >= 1.0 && IS_ANTI_JOIN(ctx.get_join_type())) {
selectivity = 1 - right_sel;
}
}
}
} else {
selectivity = std::min(left_sel, right_sel);
if (T_OP_NE == op_type) {
selectivity = 1 - selectivity;
}
}
}
return ret;
}
int ObAggSelEstimator::get_sel(const OptTableMetas &table_metas,
const OptSelectivityCtx &ctx,
double &selectivity,
ObIArray<ObExprSelPair> &all_predicate_sel)
{
int ret = OB_SUCCESS;
const ObRawExpr &qual = *expr_;
if (OB_ISNULL(expr_)) {
ret = OB_ERR_UNEXPECTED;
LOG_WARN("unexpected null expr", KPC(this));
} else if (OB_FAIL(get_agg_sel(table_metas, ctx, qual, selectivity))) {
LOG_WARN("failed to get agg expr selectivity", K(ret), K(qual));
}
return ret;
}
int ObAggSelEstimator::get_agg_sel(const OptTableMetas &table_metas,
const OptSelectivityCtx &ctx,
const ObRawExpr &qual,
double &selectivity)
{
int ret = OB_SUCCESS;
const double origin_rows = ctx.get_row_count_1(); // rows before group by
const double grouped_rows = ctx.get_row_count_2();// rows after group by
bool is_valid = false;
const ObRawExpr *aggr_expr = NULL;
const ObRawExpr *const_expr1 = NULL;
const ObRawExpr *const_expr2 = NULL;
selectivity = DEFAULT_AGG_RANGE;
ObItemType type = qual.get_expr_type();
// for aggregate function in having clause, only support
// = <=> != > >= < <= [not] btw [not] in
if (-1.0 == origin_rows || -1.0 == grouped_rows) {
// 不是在group by层计算的having filter，使用默认选择率
// e.g. select * from t7 group by c1 having count(*) > (select c1 from t8 limit 1);
// 该sql中having filter需要在subplan filter中计算
} else if ((type >= T_OP_EQ && type <= T_OP_NE) ||
T_OP_IN == type || T_OP_NOT_IN == type ||
T_OP_BTW == type || T_OP_NOT_BTW == type) {
if (OB_FAIL(is_valid_agg_qual(qual, is_valid, aggr_expr, const_expr1, const_expr2))) {
LOG_WARN("failed to check is valid agg qual", K(ret));
} else if (!is_valid) {
/* use default selectivity */
} else if (OB_ISNULL(aggr_expr)) {
ret = OB_ERR_UNEXPECTED;
LOG_WARN("get unexpected null", K(ret));
} else if (T_FUN_MAX == aggr_expr->get_expr_type() ||
T_FUN_MIN == aggr_expr->get_expr_type() ||
T_FUN_COUNT == aggr_expr->get_expr_type()) {
if (T_OP_EQ == type || T_OP_NSEQ == type) {
selectivity = DEFAULT_AGG_EQ;
} else if (T_OP_NE == type || IS_RANGE_CMP_OP(type)) {
selectivity = DEFAULT_AGG_RANGE;
} else if (T_OP_BTW == type) {
// agg(col) btw const1 and const2 <=> agg(col) > const1 AND agg(col) < const2
selectivity = DEFAULT_AGG_RANGE * DEFAULT_AGG_RANGE;
} else if (T_OP_NOT_BTW == type) {
// agg(col) not btw const1 and const2 <=> agg(col) < const1 OR agg(col) > const2
// 计算方式参考OR
selectivity = DEFAULT_AGG_RANGE + DEFAULT_AGG_RANGE;
} else if (T_OP_IN == type) {
/**
* oracle 对 max/min/count(col) in (const1, const2, const3, ...)的选择率估计
* 当const的数量小于等于5时，每增加一个const值，选择率增加 DEFAULT_AGG_EQ(0.01)
* 当const的数量大于5时，每增加一个const值，选择率增加
* DEFAULT_AGG_EQ - 0.001 * (const_num - 5)
* # 这里的选择率增加量采用线性下降其实并不是很精确，oracle的选择率增加量可能采用了了指数下降，
* 在测试过程中测试了1-30列递增的情况，线性下降和指数下降区别不大。
*/
int64_t N;
if(OB_ISNULL(const_expr1)) {
ret = OB_ERR_UNEXPECTED;
LOG_WARN("get unexpected null");
} else if (FALSE_IT(N = const_expr1->get_param_count())) {
} else if (N < 6) {
selectivity = DEFAULT_AGG_EQ * N;
} else {
N = std::min(N, 15L);
selectivity = DEFAULT_AGG_EQ * 5 + (DEFAULT_AGG_EQ - 0.0005 * (N - 4)) * (N - 5);
}
} else if (T_OP_NOT_IN == type) {
// agg(col) not in (const1, const2, ...) <=> agg(col) != const1 and agg(col) != const2 and ...
if(OB_ISNULL(const_expr1)) {
ret = OB_ERR_UNEXPECTED;
LOG_WARN("get unexpected null");
} else {
selectivity = std::pow(DEFAULT_AGG_RANGE, const_expr1->get_param_count());
}
} else { /* use default selectivity */ }
} else if (T_FUN_SUM == aggr_expr->get_expr_type() || T_FUN_AVG == aggr_expr->get_expr_type()) {
LOG_TRACE("show group by origen rows and grouped rows", K(origin_rows), K(grouped_rows));
double rows_per_group = grouped_rows == 0.0 ? origin_rows : origin_rows / grouped_rows;
if (OB_FAIL(get_agg_sel_with_minmax(table_metas, ctx, *aggr_expr, const_expr1,
const_expr2, type, selectivity, rows_per_group))) {
LOG_WARN("failed to get agg sel with minmax", K(ret));
}
} else { /* not max/min/count/sum/avg, use default selectivity */ }
} else { /* use default selectivity */ }
return ret;
}
int ObAggSelEstimator::get_agg_sel_with_minmax(const OptTableMetas &table_metas,
const OptSelectivityCtx &ctx,
const ObRawExpr &aggr_expr,
const ObRawExpr *const_expr1,
const ObRawExpr *const_expr2,
const ObItemType type,
double &selectivity,
const double rows_per_group)
{
int ret = OB_SUCCESS;
selectivity = DEFAULT_AGG_RANGE;
const ParamStore *params = ctx.get_params();
const ObDMLStmt *stmt = ctx.get_stmt();
ObExecContext *exec_ctx = ctx.get_opt_ctx().get_exec_ctx();
ObIAllocator &alloc = ctx.get_allocator();
ObObj result1;
ObObj result2;
bool got_result;
double distinct_sel = 1.0;
ObObj maxobj;
ObObj minobj;
maxobj.set_max_value();
minobj.set_min_value();
if (OB_ISNULL(aggr_expr.get_param_expr(0)) || OB_ISNULL(params) ||
OB_ISNULL(stmt) || OB_ISNULL(const_expr1)) {
ret = OB_ERR_UNEXPECTED;
LOG_WARN("get unexpected null", K(ret), K(aggr_expr.get_param_expr(0)),
K(params), K(stmt), K(const_expr1));
} else if (!aggr_expr.get_param_expr(0)->is_column_ref_expr()) {
// 只处理sum(column)的形式，sum(column + 1)/sum(column1 + column2)都是用默认选择率
} else if (OB_FAIL(ObOptSelectivity::get_column_basic_sel(table_metas, ctx, *aggr_expr.get_param_expr(0),
&distinct_sel, NULL))) {
LOG_WARN("failed to get column basic sel", K(ret));
} else if (OB_FAIL(ObOptSelectivity::get_column_min_max(table_metas, ctx, *aggr_expr.get_param_expr(0),
minobj, maxobj))) {
LOG_WARN("failed to get column min max", K(ret));
} else if (minobj.is_min_value() || maxobj.is_max_value()) {
// do nothing
} else if (T_OP_IN == type || T_OP_NOT_IN == type) {
if (OB_UNLIKELY(T_OP_ROW != const_expr1->get_expr_type())) {
ret = OB_ERR_UNEXPECTED;
LOG_WARN("expr should be row", K(ret), K(*const_expr1));
} else {
// 如果row超过5列，则计算5列上的选择率，再按比例放大
int64_t N = const_expr1->get_param_count() > 5 ? 5 :const_expr1->get_param_count();
selectivity = T_OP_IN == type ? 0.0 : 1.0;
for (int64_t i = 0; OB_SUCC(ret) && i < N; ++i) {
double tmp_sel = T_OP_IN == type ? DEFAULT_AGG_EQ : DEFAULT_AGG_RANGE;
const ObRawExpr *sub_expr = NULL;
ObObj tmp_result;
if (OB_ISNULL(sub_expr = const_expr1->get_param_expr(i))) {
ret = OB_ERR_UNEXPECTED;
LOG_WARN("get unexpected null", K(ret));
} else if (!ObOptEstUtils::is_calculable_expr(*sub_expr, params->count())) {
} else if (OB_FAIL(ObSQLUtils::calc_const_or_calculable_expr(exec_ctx,
sub_expr,
tmp_result,
got_result,
alloc))) {
LOG_WARN("failed to calc const or calculable expr", K(ret));
} else if (!got_result) {
// do nothing
} else {
tmp_sel = get_agg_eq_sel(maxobj, minobj, tmp_result, distinct_sel, rows_per_group,
T_OP_IN == type, T_FUN_SUM == aggr_expr.get_expr_type());
}
if (T_OP_IN == type) {
selectivity += tmp_sel;
} else {
selectivity *= tmp_sel;
}
}
if (OB_SUCC(ret)) {
selectivity *= static_cast<double>(const_expr1->get_param_count())
/ static_cast<double>(N);
}
}
} else if (!ObOptEstUtils::is_calculable_expr(*const_expr1, params->count())) {
} else if (OB_FAIL(ObSQLUtils::calc_const_or_calculable_expr(exec_ctx,
const_expr1,
result1,
got_result,
alloc))) {
LOG_WARN("failed to calc const or calculable expr", K(ret));
} else if (!got_result) {
// do nothing
} else if (T_OP_EQ == type || T_OP_NSEQ == type) {
selectivity = get_agg_eq_sel(maxobj, minobj, result1, distinct_sel, rows_per_group,
true, T_FUN_SUM == aggr_expr.get_expr_type());
} else if (T_OP_NE == type) {
selectivity = get_agg_eq_sel(maxobj, minobj, result1, distinct_sel, rows_per_group,
false, T_FUN_SUM == aggr_expr.get_expr_type());
} else if (IS_RANGE_CMP_OP(type)) {
selectivity = get_agg_range_sel(maxobj, minobj, result1, rows_per_group,
type, T_FUN_SUM == aggr_expr.get_expr_type());
} else if (T_OP_BTW == type || T_OP_NOT_BTW == type) {
if (OB_ISNULL(const_expr2)) {
ret = OB_ERR_UNEXPECTED;
LOG_WARN("get unexpected null", K(ret));
} else if (!ObOptEstUtils::is_calculable_expr(*const_expr2, params->count())) {
} else if (OB_FAIL(ObSQLUtils::calc_const_or_calculable_expr(exec_ctx,
const_expr2,
result2,
got_result,
alloc))) {
LOG_WARN("Failed to calc const or calculable expr", K(ret));
} else if (!got_result) {
// do nothing
} else {
selectivity = get_agg_btw_sel(maxobj, minobj, result1, result2, rows_per_group,
type, T_FUN_SUM == aggr_expr.get_expr_type());
}
} else { /* do nothing */ }
return ret;
}
// 计算sum/avg(col) =/<=>/!= const的选择率
double ObAggSelEstimator::get_agg_eq_sel(const ObObj &maxobj,
const ObObj &minobj,
const ObObj &constobj,
const double distinct_sel,
const double rows_per_group,
const bool is_eq,
const bool is_sum)
{
int ret = OB_SUCCESS;
double sel_ret = DEFAULT_AGG_EQ;
if (constobj.is_null()) {
// sum/avg(col)的结果中不会存在null，即使是null safe equal选择率依然为0
sel_ret = 0.0;
} else if (minobj.is_integer_type() ||
(minobj.is_number() && minobj.get_meta().get_obj_meta().get_scale() == 0) ||
(minobj.is_unumber() && minobj.get_meta().get_obj_meta().get_scale() == 0)) {
double const_val;
double min_val;
double max_val;
// 如果转化的时候出错，就使用默认的选择率
if (OB_FAIL(ObOptEstObjToScalar::convert_obj_to_double(&constobj, const_val)) ||
OB_FAIL(ObOptEstObjToScalar::convert_obj_to_double(&minobj, min_val)) ||
OB_FAIL(ObOptEstObjToScalar::convert_obj_to_double(&maxobj, max_val))) {
LOG_WARN("failed to convert obj to double", K(ret));
} else {
LOG_TRACE("get values for agg eq sel", K(max_val), K(min_val), K(const_val));
if (is_sum) {
min_val *= rows_per_group;
max_val *= rows_per_group;
}
int64_t length = max_val - min_val + 1;
if (is_eq) {
sel_ret = 1.0 / length;
if (const_val < min_val) {
sel_ret -= sel_ret * (min_val - const_val) / length;
} else if (const_val > max_val) {
sel_ret -= sel_ret * (const_val - max_val) / length;
} else {}
} else {
sel_ret = 1.0 - 1.0 / length;
}
}
} else {
// 对于非整数的类型，认为sum/avg(col)后 ndv 不会发生显著变化，直接使用该列原有的ndv计算
sel_ret = is_eq ? distinct_sel : 1.0 - distinct_sel;
}
sel_ret = ObOptSelectivity::revise_between_0_1(sel_ret);
return sel_ret;
}
// 计算sum/avg(col) >/>=/</<= const的选择率
double ObAggSelEstimator::get_agg_range_sel(const ObObj &maxobj,
const ObObj &minobj,
const ObObj &constobj,
const double rows_per_group,
const ObItemType type,
const bool is_sum)
{
int ret = OB_SUCCESS;
double sel_ret = DEFAULT_AGG_RANGE;
if (constobj.is_null()) {
// sum/avg(col)的结果中不会存在null，因此选择率为0
sel_ret = 0.0;
} else {
double min_val;
double max_val;
double const_val;
// 如果转化的时候出错，就使用默认的选择率
if (OB_FAIL(ObOptEstObjToScalar::convert_obj_to_double(&minobj, min_val))) {
LOG_WARN("failed to convert obj to double", K(ret));
} else if (OB_FAIL(ObOptEstObjToScalar::convert_obj_to_double(&maxobj, max_val))) {
LOG_WARN("failed to convert obj to double", K(ret));
} else if (OB_FAIL(ObOptEstObjToScalar::convert_obj_to_double(&constobj, const_val))) {
LOG_WARN("failed to convert obj to double", K(ret));
} else {
LOG_TRACE("get values for agg range sel", K(max_val), K(min_val), K(const_val));
if (is_sum) {
min_val *= rows_per_group;
max_val *= rows_per_group;
}
double length = max_val - min_val + 1.0;
if (T_OP_GE == type || T_OP_GT == type) {
if (T_OP_GT == type) {
// c1 > 1 <=> c1 >= 2, 对非int类型的列并不精确
const_val += 1.0;
}
if (const_val <= min_val) {
sel_ret = 1.0;
} else if (const_val <= max_val) {
sel_ret = (max_val - const_val + 1.0) / length;
} else {
sel_ret = 1.0 / length;
sel_ret -= sel_ret * (const_val - max_val) / length;
}
} else if (T_OP_LE == type || T_OP_LT == type) {
if (T_OP_LT == type) {
// c1 < 1 <=> c1 <= 0, 对非int类型的列并不精确
const_val -= 1.0;
}
if (const_val >= max_val) {
sel_ret = 1.0;
} else if (const_val >= min_val) {
sel_ret = (const_val - min_val + 1.0) / length;
} else {
sel_ret = 1.0 / length;
sel_ret -= sel_ret * (min_val - const_val) / length;
}
} else { /* do nothing */ }
}
}
sel_ret = ObOptSelectivity::revise_between_0_1(sel_ret);
return sel_ret;
}
// 计算sum/avg(col) [not] between const1 and const2的选择率
double ObAggSelEstimator::get_agg_btw_sel(const ObObj &maxobj,
const ObObj &minobj,
const ObObj &constobj1,
const ObObj &constobj2,
const double rows_per_group,
const ObItemType type,
const bool is_sum)
{
int ret = OB_SUCCESS;
double sel_ret = DEFAULT_AGG_RANGE;
if (constobj1.is_null() || constobj2.is_null()) {
sel_ret= 0.0;
} else {
double min_val;
double max_val;
double const_val1;
double const_val2;
// 如果转化的时候出错，就使用默认的选择率
if (OB_FAIL(ObOptEstObjToScalar::convert_obj_to_double(&minobj, min_val))) {
LOG_WARN("failed to convert obj to double", K(ret));
} else if (OB_FAIL(ObOptEstObjToScalar::convert_obj_to_double(&maxobj, max_val))) {
LOG_WARN("failed to convert obj to double", K(ret));
} else if (OB_FAIL(ObOptEstObjToScalar::convert_obj_to_double(&constobj1, const_val1))) {
LOG_WARN("failed to convert obj to double", K(ret));
} else if (OB_FAIL(ObOptEstObjToScalar::convert_obj_to_double(&constobj2, const_val2))) {
LOG_WARN("failed to convert obj to double", K(ret));
} else {
LOG_TRACE("get values for agg between sel", K(max_val), K(min_val), K(const_val1), K(const_val2));
if (is_sum) {
min_val *= rows_per_group;
max_val *= rows_per_group;
}
double length = max_val - min_val + 1.0;
if (T_OP_BTW == type) {
if (const_val1 > const_val2) {
sel_ret = 0.0;
} else {
double tmp_min = std::max(const_val1, min_val);
double tmp_max = std::min(const_val2, max_val);
sel_ret = (tmp_max - tmp_min + 1.0) / length;
}
} else if (T_OP_NOT_BTW == type){
if (const_val1 > const_val2) {
sel_ret = 1.0;
} else {
double tmp_min = std::max(const_val1, min_val);
double tmp_max = std::min(const_val2, max_val);
sel_ret = 1 - (tmp_max - tmp_min + 1.0) / length;
}
} else { /* do nothing */ }
}
}
sel_ret = ObOptSelectivity::revise_between_0_1(sel_ret);
return sel_ret;
}
int ObAggSelEstimator::is_valid_agg_qual(const ObRawExpr &qual,
bool &is_valid,
const ObRawExpr *&aggr_expr,
const ObRawExpr *&const_expr1,
const ObRawExpr *&const_expr2)
{
int ret = OB_SUCCESS;
is_valid = false;
const ObRawExpr *expr0 = NULL;
const ObRawExpr *expr1 = NULL;
const ObRawExpr *expr2 = NULL;
if (T_OP_BTW == qual.get_expr_type() || T_OP_NOT_BTW == qual.get_expr_type()) {
if (OB_ISNULL(expr0 = qual.get_param_expr(0)) ||
OB_ISNULL(expr1 = qual.get_param_expr(1)) ||
OB_ISNULL(expr2 = qual.get_param_expr(2))) {
ret = OB_ERR_UNEXPECTED;
LOG_WARN("get unexpected null", K(ret));
} else if (expr0->has_flag(IS_AGG) &&
expr1->is_const_expr() &&
expr2->is_const_expr()) {
is_valid = true;
aggr_expr = expr0;
const_expr1 = expr1;
const_expr2 = expr2;
} else { /* do nothing */ }
} else {
if (OB_ISNULL(expr0 = qual.get_param_expr(0)) || OB_ISNULL(expr1 = qual.get_param_expr(1))) {
ret = OB_ERR_UNEXPECTED;
LOG_WARN("get unexpected null", K(ret));
} else if (T_OP_IN == qual.get_expr_type() || T_OP_NOT_IN == qual.get_expr_type()) {
if (!qual.has_flag(CNT_SUB_QUERY) &&
expr0->has_flag(IS_AGG) &&
T_OP_ROW == expr1->get_expr_type()) {
is_valid = true;
aggr_expr = expr0;
const_expr1 = expr1;
} else { /* do nothing */ }
} else if (expr0->has_flag(IS_AGG) &&
expr1->is_const_expr()) {
is_valid = true;
aggr_expr = expr0;
const_expr1 = expr1;
} else if (expr0->is_const_expr() &&
expr1->has_flag(IS_AGG)) {
is_valid = true;
aggr_expr = expr1;
const_expr1 = expr0;
} else { /* do nothing */ }
}
return ret;
}
int ObLikeSelEstimator::create_estimator(ObSelEstimatorFactory &factory,
const OptSelectivityCtx &ctx,
const ObRawExpr &expr,
ObSelEstimator *&estimator)
{
int ret = OB_SUCCESS;
estimator = NULL;
ObLikeSelEstimator *like_estimator = NULL;
if (T_OP_LIKE != expr.get_expr_type()) {
// do nothing
} else if (OB_FAIL(factory.create_estimator_inner(like_estimator))) {
LOG_WARN("failed to create estimator ", K(ret));
} else {
like_estimator->expr_ = &expr;
estimator = like_estimator;
const ParamStore *params = ctx.get_params();
if (3 != expr.get_param_count()) {
ret = OB_ERR_UNEXPECTED;
LOG_WARN("like expr should have 3 param", K(ret), K(expr));
} else if (OB_ISNULL(params) ||
OB_ISNULL(like_estimator->variable_ = expr.get_param_expr(0)) ||
OB_ISNULL(like_estimator->pattern_ = expr.get_param_expr(1)) ||
OB_ISNULL(like_estimator->escape_ = expr.get_param_expr(2))) {
ret = OB_ERR_UNEXPECTED;
LOG_WARN("get null params", K(ret), K(params), K(expr));
} else if (OB_FAIL(ObOptimizerUtil::get_expr_without_lossless_cast(like_estimator->variable_,
like_estimator->variable_))) {
LOG_WARN("failed to get expr without lossless cast", K(ret));
} else if (like_estimator->variable_->is_column_ref_expr() &&
like_estimator->pattern_->is_static_const_expr() &&
like_estimator->escape_->is_static_const_expr()) {
bool is_start_with = false;
if (OB_FAIL(ObOptEstUtils::if_expr_start_with_patten_sign(params, like_estimator->pattern_,
like_estimator->escape_,
ctx.get_opt_ctx().get_exec_ctx(),
ctx.get_allocator(),
is_start_with,
like_estimator->match_all_str_))) {
LOG_WARN("failed to check if expr start with percent sign", K(ret));
} else if (like_estimator->match_all_str_) {
like_estimator->can_calc_sel_ = true;
} else if (is_lob_storage(like_estimator->variable_->get_data_type())) {
// do nothing
} else if (!is_start_with) {
like_estimator->can_calc_sel_ = true;
}
}
}
return ret;
}
int ObLikeSelEstimator::can_calc_like_sel(const OptSelectivityCtx &ctx, const ObRawExpr &expr, bool &can_calc_sel)
{
int ret = OB_SUCCESS;
can_calc_sel = false;
if (T_OP_LIKE == expr.get_expr_type()) {
const ParamStore *params = ctx.get_params();
const ObRawExpr *variable = NULL;
const ObRawExpr *pattern = NULL;
const ObRawExpr *escape = NULL;
if (3 != expr.get_param_count()) {
ret = OB_ERR_UNEXPECTED;
LOG_WARN("like expr should have 3 param", K(ret), K(expr));
} else if (OB_ISNULL(params) ||
OB_ISNULL(variable = expr.get_param_expr(0)) ||
OB_ISNULL(pattern = expr.get_param_expr(1)) ||
OB_ISNULL(escape = expr.get_param_expr(2))) {
ret = OB_ERR_UNEXPECTED;
LOG_WARN("get null params", K(ret), K(params), K(expr));
} else if (OB_FAIL(ObOptimizerUtil::get_expr_without_lossless_cast(variable,
variable))) {
LOG_WARN("failed to get expr without lossless cast", K(ret));
} else if (variable->is_column_ref_expr() &&
pattern->is_static_const_expr() &&
escape->is_static_const_expr()) {
bool is_start_with = false;
bool match_all_str = false;
if (OB_FAIL(ObOptEstUtils::if_expr_start_with_patten_sign(params, pattern, escape,
ctx.get_opt_ctx().get_exec_ctx(),
ctx.get_allocator(),
is_start_with,
match_all_str))) {
LOG_WARN("failed to check if expr start with percent sign", K(ret));
} else if (match_all_str) {
can_calc_sel = true;
} else if (is_lob_storage(variable->get_data_type())) {
// do nothing
} else if (!is_start_with) {
can_calc_sel = true;
}
}
}
return ret;
}
int ObLikeSelEstimator::get_sel(const OptTableMetas &table_metas,
const OptSelectivityCtx &ctx,
double &selectivity,
ObIArray<ObExprSelPair> &all_predicate_sel)
{
int ret = OB_SUCCESS;
const ObRawExpr &qual = *expr_;
bool can_calc_sel = false;
if (OB_ISNULL(expr_) || OB_ISNULL(variable_)) {
ret = OB_ERR_UNEXPECTED;
LOG_WARN("unexpected null expr", KPC(this));
} else if (match_all_str_ && can_calc_sel_) {
double nns = 0.0;
if (OB_FAIL(ObOptSelectivity::get_column_ndv_and_nns(table_metas, ctx, *variable_, NULL, &nns))) {
LOG_WARN("failed to get nns");
} else {
selectivity = nns;
}
} else if (can_calc_sel_) {
if (OB_UNLIKELY(!variable_->is_column_ref_expr())) {
ret = OB_ERR_UNEXPECTED;
LOG_WARN("unexpected expr", KPC(variable_));
} else if (OB_FAIL(ObOptSelectivity::get_column_range_sel(table_metas, ctx,
static_cast<const ObColumnRefRawExpr&>(*variable_),
qual, selectivity))) {
LOG_WARN("Failed to get column range selectivity", K(ret));
}
} else if (is_lob_storage(variable_->get_data_type())) {
// no statistics for lob type, use default selectivity
selectivity = DEFAULT_CLOB_LIKE_SEL;
} else {
//try find the calc sel from dynamic sampling
int64_t idx = -1;
if (ObOptimizerUtil::find_item(all_predicate_sel, ObExprSelPair(&qual, 0), &idx)) {
selectivity = all_predicate_sel.at(idx).sel_;
} else {
selectivity = DEFAULT_INEQ_SEL;
}
}
return ret;
}
int ObBoolOpSelEstimator::create_estimator(ObSelEstimatorFactory &factory,
const OptSelectivityCtx &ctx,
const ObRawExpr &expr,
ObSelEstimator *&estimator)
{
int ret = OB_SUCCESS;
estimator = NULL;
ObBoolOpSelEstimator *bool_estimator = NULL;
if (T_OP_NOT != expr.get_expr_type() &&
T_OP_AND != expr.get_expr_type() &&
T_OP_OR != expr.get_expr_type() &&
T_FUN_SYS_LNNVL != expr.get_expr_type() &&
T_OP_BOOL != expr.get_expr_type()) {
// do nothing
} else if (OB_FAIL(factory.create_estimator_inner(bool_estimator))) {
LOG_WARN("failed to create estimator ", K(ret));
} else {
bool_estimator->expr_ = &expr;
estimator = bool_estimator;
for (int64_t i = 0; OB_SUCC(ret) && i < expr.get_param_count(); ++i) {
const ObRawExpr *child_expr = expr.get_param_expr(i);
ObSelEstimator *child_estimator = NULL;
if (OB_ISNULL(child_expr)) {
ret = OB_ERR_UNEXPECTED;
LOG_WARN("get null expr", K(ret));
} else if (OB_FAIL(SMART_CALL(factory.create_estimator(ctx, child_expr, child_estimator)))) {
LOG_WARN("failed to create estimator", KPC(child_expr));
} else {
if (T_OP_AND == expr.get_expr_type()) {
if (OB_FAIL(append_estimators(bool_estimator->child_estimators_, child_estimator))) {
LOG_WARN("failed to append estimators", K(ret));
}
} else {
if (OB_FAIL(bool_estimator->child_estimators_.push_back(child_estimator))) {
LOG_WARN("failed to push back estimators", K(ret));
}
}
}
}
}
return ret;
}
bool ObBoolOpSelEstimator::tend_to_use_ds()
{
bool bret = false;
for (int64_t i = 0; !bret && i < child_estimators_.count(); ++i) {
ObSelEstimator *estimator = child_estimators_.at(i);
bret |= OB_NOT_NULL(estimator) ? estimator->tend_to_use_ds() : false;
}
return bret;
}
int ObBoolOpSelEstimator::get_sel(const OptTableMetas &table_metas,
const OptSelectivityCtx &ctx,
double &selectivity,
ObIArray<ObExprSelPair> &all_predicate_sel)
{
int ret = OB_SUCCESS;
const ObRawExpr &qual = *expr_;
if (OB_ISNULL(expr_)) {
ret = OB_ERR_UNEXPECTED;
LOG_WARN("unexpected null expr", KPC(this));
} else if (T_OP_NOT == qual.get_expr_type() ||
T_FUN_SYS_LNNVL == qual.get_expr_type() ||
T_OP_BOOL == qual.get_expr_type()) {
ObSEArray<ObRawExpr*, 3> cur_vars;
const ObRawExpr *child_expr = NULL;
ObSelEstimator *estimator = NULL;
double tmp_selectivity = 0.0;
if (OB_UNLIKELY(child_estimators_.count() != 1) ||
OB_ISNULL(child_expr = qual.get_param_expr(0)) ||
OB_ISNULL(estimator = child_estimators_.at(0))) {
ret = OB_ERR_UNEXPECTED;
LOG_WARN("unexpected param", KPC(this));
} else if (OB_FAIL(estimator->get_sel(table_metas, ctx, tmp_selectivity, all_predicate_sel))) {
LOG_WARN("failed to get sel", KPC(estimator), K(ret));
} else if (T_FUN_SYS_LNNVL == qual.get_expr_type()) {
selectivity = 1.0 - tmp_selectivity;
} else if (T_OP_BOOL == qual.get_expr_type()) {
selectivity = tmp_selectivity;
} else if (OB_FAIL(ObRawExprUtils::extract_column_exprs(child_expr, cur_vars))) {
LOG_WARN("failed to extract column exprs", K(ret));
} else if (1 == cur_vars.count() &&
T_OP_IS != child_expr->get_expr_type() &&
T_OP_IS_NOT != child_expr->get_expr_type() &&
T_OP_NSEQ != child_expr->get_expr_type()) { // for only one column, consider null_sel
double null_sel = 1.0;
if (OB_ISNULL(cur_vars.at(0))) {
ret = OB_ERR_UNEXPECTED;
LOG_WARN("get null expr", K(ret));
} else if (OB_FAIL(ObOptSelectivity::get_column_basic_sel(table_metas, ctx, *cur_vars.at(0), NULL, &null_sel))) {
LOG_WARN("failed to get column basic sel", K(ret));
} else {
// not op.
// if can calculate null_sel, sel = 1.0 - null_sel - op_sel
selectivity = ObOptSelectivity::revise_between_0_1(1.0 - null_sel - tmp_selectivity);
}
} else {
// for other condition, it's is too hard to consider null_sel, so ignore it.
// t_op_is, t_op_nseq , they are null safe exprs, don't consider null_sel.
selectivity = 1.0 - tmp_selectivity;
}
} else if (T_OP_AND == qual.get_expr_type() || T_OP_OR == qual.get_expr_type()) {
double tmp_selectivity = 1.0;
ObSEArray<double, 4> selectivities;
for (int64_t i = 0; OB_SUCC(ret) && i < child_estimators_.count(); ++i) {
ObSelEstimator *estimator = NULL;
if (OB_ISNULL(estimator = child_estimators_.at(i))) {
ret = OB_ERR_UNEXPECTED;
LOG_WARN("unexpected param", KPC(this));
} else if (OB_FAIL(estimator->get_sel(table_metas, ctx, tmp_selectivity, all_predicate_sel))) {
LOG_WARN("failed to get sel", KPC(estimator), K(ret));
} else if (OB_FAIL(selectivities.push_back(tmp_selectivity))) {
LOG_WARN("failed to push back", K(ret));
}
}
if (OB_FAIL(ret)) {
} else if (T_OP_OR == qual.get_expr_type()) {
bool is_mutex = false;;
if (OB_FAIL(ObOptSelectivity::check_mutex_or(qual, is_mutex))) {
LOG_WARN("failed to check mutex or", K(ret));
} else if (is_mutex) {
selectivity = ObOptSelectivity::get_filters_selectivity(selectivities, FilterDependencyType::MUTEX_OR);
} else {
// sel(p1 or p2 or p3) = sel(!(!p1 and !p2 and !p3))
for (int64_t i = 0; i < selectivities.count(); i ++) {
selectivities.at(i) = 1 - selectivities.at(i);
}
selectivity = ObOptSelectivity::get_filters_selectivity(selectivities, ctx.get_dependency_type());
selectivity = 1- selectivity;
}
} else {
selectivity = ObOptSelectivity::get_filters_selectivity(selectivities, ctx.get_dependency_type());
}
} else {
ret = OB_ERR_UNEXPECTED;
LOG_WARN("unexpected expr", KPC(this));
}
return ret;
}
int ObRangeSelEstimator::create_estimator(ObSelEstimatorFactory &factory,
const OptSelectivityCtx &ctx,
const ObRawExpr &expr,
ObSelEstimator *&estimator)
{
int ret = OB_SUCCESS;
UNUSED(ctx);
bool is_valid = true;
estimator = NULL;
ObArray<ObRawExpr*> column_exprs;
ObRangeSelEstimator *range_estimator = NULL;
if (OB_FAIL(ObOptEstUtils::is_range_expr(&expr, is_valid))) {
LOG_WARN("judge range expr failed", K(ret));
} else if (!is_valid) {
// do nothing
} else if (OB_FAIL(ObRawExprUtils::extract_column_exprs(&expr, column_exprs))) {
LOG_WARN("extract_column_exprs error in clause_selectivity", K(ret));
} else if (column_exprs.count() != 1) {
is_valid = false;
} else if (OB_FAIL(factory.create_estimator_inner(range_estimator))) {
LOG_WARN("failed to create estimator ", K(ret));
} else {
range_estimator->column_expr_ = static_cast<ObColumnRefRawExpr *>(column_exprs.at(0));
if (OB_FAIL(range_estimator->range_exprs_.push_back(const_cast<ObRawExpr *>(&expr)))) {
LOG_WARN("failed to push back", K(ret));
} else {
estimator = range_estimator;
}
}
return ret;
}
int ObRangeSelEstimator::merge(const ObSelEstimator &other, bool &is_success)
{
int ret = OB_SUCCESS;
is_success = false;
if (get_type() == other.get_type()) {
const ObRangeSelEstimator &est_other = static_cast<const ObRangeSelEstimator &>(other);
if (column_expr_ == est_other.column_expr_) {
is_success = true;
if (OB_FAIL(append(range_exprs_, est_other.range_exprs_))) {
LOG_WARN("failed to append", K(ret));
}
}
}
return ret;
}
int ObRangeSelEstimator::get_sel(const OptTableMetas &table_metas,
const OptSelectivityCtx &ctx,
double &selectivity,
ObIArray<ObExprSelPair> &all_predicate_sel)
{
int ret = OB_SUCCESS;
if (OB_ISNULL(column_expr_) || OB_UNLIKELY(range_exprs_.empty())) {
ret = OB_ERR_UNEXPECTED;
LOG_WARN("unexpected expr", KPC(this));
} else if (OB_FAIL(ObOptSelectivity::get_column_range_sel(table_metas, ctx, *column_expr_, range_exprs_, selectivity))) {
LOG_WARN("failed to calc qual selectivity", KPC(column_expr_), K(range_exprs_), K(ret));
} else {
selectivity = ObOptSelectivity::revise_between_0_1(selectivity);
}
return ret;
}
int ObSimpleJoinSelEstimator::create_estimator(ObSelEstimatorFactory &factory,
const OptSelectivityCtx &ctx,
const ObRawExpr &expr,
ObSelEstimator *&estimator)
{
int ret = OB_SUCCESS;
estimator = NULL;
ObSimpleJoinSelEstimator *simple_join_estimator = NULL;
bool is_valid = false;
const ObRelIds *left_rel_ids = ctx.get_left_rel_ids();
const ObRelIds *right_rel_ids = ctx.get_right_rel_ids();
if (OB_FAIL(is_simple_join_condition(expr, ctx.get_left_rel_ids(), ctx.get_right_rel_ids(), is_valid))) {
LOG_WARN("failed to check is simple join", K(ret));
} else if (!is_valid) {
// do nothing
} else if (OB_FAIL(factory.create_estimator_inner(simple_join_estimator))) {
LOG_WARN("failed to create estimator ", K(ret));
} else if (OB_FAIL(simple_join_estimator->join_conditions_.push_back(const_cast<ObRawExpr *>(&expr)))) {
LOG_WARN("failed to push back", K(ret));
} else {
simple_join_estimator->left_rel_ids_ = left_rel_ids;
simple_join_estimator->right_rel_ids_ = right_rel_ids;
estimator = simple_join_estimator;
}
return ret;
}
/**
* check if qual is a simple join condition.
* This recommend each side of `=` belong to different subtree.
*/
int ObSimpleJoinSelEstimator::is_simple_join_condition(const ObRawExpr &qual,
const ObRelIds *left_rel_ids,
const ObRelIds *right_rel_ids,
bool &is_valid)
{
int ret = OB_SUCCESS;
is_valid = false;
if (NULL == left_rel_ids || NULL == right_rel_ids) {
// do nothing
} else if (T_OP_EQ == qual.get_expr_type() || T_OP_NSEQ == qual.get_expr_type()) {
const ObRawExpr *expr0 = qual.get_param_expr(0);
const ObRawExpr *expr1 = qual.get_param_expr(1);
if (OB_ISNULL(expr0) || OB_ISNULL(expr1)) {
ret = OB_ERR_UNEXPECTED;
LOG_WARN("get null exprs", K(ret), K(expr0), K(expr1));
} else if (OB_FAIL(ObOptSelectivity::remove_ignorable_func_for_est_sel(expr0)) ||
OB_FAIL(ObOptSelectivity::remove_ignorable_func_for_est_sel(expr1))) {
LOG_WARN("failed to remove ignorable function", K(ret));
} else if (!expr0->is_column_ref_expr() || !expr1->is_column_ref_expr()) {
// do nothing
} else if ((left_rel_ids->is_superset(expr0->get_relation_ids()) &&
right_rel_ids->is_superset(expr1->get_relation_ids())) ||
(left_rel_ids->is_superset(expr1->get_relation_ids()) &&
right_rel_ids->is_superset(expr0->get_relation_ids()))) {
is_valid = true;
}
}
return ret;
}
int ObSimpleJoinSelEstimator::merge(const ObSelEstimator &other, bool &is_success)
{
int ret = OB_SUCCESS;
is_success = false;
if (get_type() == other.get_type()) {
const ObSimpleJoinSelEstimator &est_other = static_cast<const ObSimpleJoinSelEstimator &>(other);
if (OB_ISNULL(left_rel_ids_) || OB_ISNULL(right_rel_ids_) ||
OB_ISNULL(est_other.left_rel_ids_) || OB_ISNULL(est_other.right_rel_ids_)) {
ret = OB_ERR_UNEXPECTED;
LOG_WARN("unexpected NULL", KPC(this), K(est_other));
} else if (*left_rel_ids_ == *est_other.left_rel_ids_ &&
*right_rel_ids_ == *est_other.right_rel_ids_) {
is_success = true;
if (OB_FAIL(append(join_conditions_, est_other.join_conditions_))) {
LOG_WARN("failed to append", K(ret));
}
}
}
return ret;
}
int ObSimpleJoinSelEstimator::get_sel(const OptTableMetas &table_metas,
const OptSelectivityCtx &ctx,
double &selectivity,
ObIArray<ObExprSelPair> &all_predicate_sel)
{
int ret = OB_SUCCESS;
selectivity = 1.0;
if (OB_UNLIKELY(join_conditions_.empty())) {
ret = OB_ERR_UNEXPECTED;
LOG_WARN("unexpected empty join condition", KPC(this));
} else if (1 == join_conditions_.count()) {
// only one join condition, calculate selectivity directly
if (OB_ISNULL(join_conditions_.at(0))) {
ret = OB_ERR_UNEXPECTED;
LOG_WARN("get unexpected null", K(ret));
} else if (OB_FAIL(ObEqualSelEstimator::get_equal_sel(table_metas, ctx, *join_conditions_.at(0), selectivity))) {
LOG_WARN("Failed to get equal selectivity", K(ret));
} else {
LOG_PRINT_EXPR(TRACE, "get single equal expr selectivity", *join_conditions_.at(0), K(selectivity));
}
} else if (join_conditions_.count() > 1) {
// 存在多个连接条件，检查是否涉及联合主键
if (OB_FAIL(get_multi_equal_sel(table_metas, ctx, join_conditions_, selectivity))) {
LOG_WARN("failed to get equal sel");
} else {
selectivity = ObOptSelectivity::revise_between_0_1(selectivity);
LOG_TRACE("get multi equal expr selectivity", KPC(this), K(selectivity));
}
}
return ret;
}
int ObSimpleJoinSelEstimator::get_multi_equal_sel(const OptTableMetas &table_metas,
const OptSelectivityCtx &ctx,
ObIArray<ObRawExpr *> &quals,
double &selectivity)
{
int ret = OB_SUCCESS;
ObSEArray<ObRawExpr *, 4> left_exprs;
ObSEArray<ObRawExpr *, 4> right_exprs;
ObSEArray<bool, 4> null_safes;
bool is_valid;
if (OB_ISNULL(ctx.get_left_rel_ids()) || OB_ISNULL(ctx.get_right_rel_ids())) {
ret = OB_ERR_UNEXPECTED;
LOG_WARN("failed get unexpected null", K(ret), K(ctx));
} else if (OB_FAIL(is_valid_multi_join(quals, is_valid))) {
LOG_WARN("failed to check is valid multi join", K(ret));
} else if (!is_valid) {
// multi join condition related to more than two table. Calculate selectivity for each join
// condition independently.
for (int64_t i = 0; OB_SUCC(ret) && i < quals.count(); ++i) {
ObRawExpr *cur_expr = quals.at(i);
double tmp_sel = 1.0;
if (OB_ISNULL(cur_expr)) {
ret = OB_ERR_UNEXPECTED;
LOG_WARN("get unexpected null", K(ret));
} else if (OB_FAIL(ObEqualSelEstimator::get_equal_sel(table_metas, ctx, *cur_expr, tmp_sel))) {
LOG_WARN("failed to get equal selectivity", K(ret));
} else {
selectivity *= tmp_sel;
}
}
} else if (OB_FAIL(extract_join_exprs(quals, *ctx.get_left_rel_ids(), *ctx.get_right_rel_ids(),
left_exprs, right_exprs, null_safes))) {
LOG_WARN("failed to extract join exprs", K(ret));
} else if (OB_FAIL(get_cntcols_eq_cntcols_sel(table_metas, ctx, left_exprs, right_exprs,
null_safes, selectivity))) {
LOG_WARN("Failed to get equal sel", K(ret));
} else { /* do nothing */ }
return ret;
}
/**
* check if multi join condition only related to two table
*/
int ObSimpleJoinSelEstimator::is_valid_multi_join(ObIArray<ObRawExpr *> &quals,
bool &is_valid)
{
int ret = OB_SUCCESS;
is_valid = false;
if (OB_UNLIKELY(quals.count() < 2)) {
ret = OB_ERR_UNEXPECTED;
LOG_WARN("quals should have more than 1 exprs", K(ret));
} else if (OB_ISNULL(quals.at(0))) {
ret = OB_ERR_UNEXPECTED;
LOG_WARN("get unexpected null", K(ret));
} else {
const ObRelIds &rel_ids = quals.at(0)->get_relation_ids();
is_valid = rel_ids.num_members() == 2;
for (int64_t i = 1; OB_SUCC(ret) && is_valid && i < quals.count(); ++i) {
ObRawExpr *cur_expr = quals.at(i);
if (OB_ISNULL(cur_expr)) {
ret = OB_ERR_UNEXPECTED;
LOG_WARN("get unexpected null", K(ret));
} else if (!rel_ids.equal(cur_expr->get_relation_ids())) {
is_valid = false;
}
}
}
return ret;
}
int ObSimpleJoinSelEstimator::extract_join_exprs(ObIArray<ObRawExpr *> &quals,
const ObRelIds &left_rel_ids,
const ObRelIds &right_rel_ids,
ObIArray<ObRawExpr *> &left_exprs,
ObIArray<ObRawExpr *> &right_exprs,
ObIArray<bool> &null_safes)
{
int ret = OB_SUCCESS;
ObRawExpr *left_expr = NULL;
ObRawExpr *right_expr = NULL;
for (int64_t i = 0; OB_SUCC(ret) && i < quals.count(); ++i) {
ObRawExpr *cur_expr = quals.at(i);
if (OB_ISNULL(cur_expr) ||
OB_ISNULL(left_expr = cur_expr->get_param_expr(0)) ||
OB_ISNULL(right_expr = cur_expr->get_param_expr(1))) {
ret = OB_ERR_UNEXPECTED;
LOG_WARN("get unexpected null", K(ret), K(cur_expr), K(left_expr), K(right_expr));
} else if (OB_FAIL(ObOptSelectivity::remove_ignorable_func_for_est_sel(left_expr)) ||
OB_FAIL(ObOptSelectivity::remove_ignorable_func_for_est_sel(right_expr))) {
LOG_WARN("failed to remove ignorable function", K(ret));
} else if (OB_UNLIKELY(!left_expr->is_column_ref_expr() || !right_expr->is_column_ref_expr())) {
ret = OB_ERR_UNEXPECTED;
LOG_WARN("all expr should be column ref", K(ret), K(*cur_expr));
} else if (left_rel_ids.is_superset(left_expr->get_relation_ids()) &&
right_rel_ids.is_superset(right_expr->get_relation_ids())) {
// do nothing
} else if (left_rel_ids.is_superset(right_expr->get_relation_ids()) &&
right_rel_ids.is_superset(left_expr->get_relation_ids())) {
std::swap(left_expr, right_expr);
} else {
ret = OB_ERR_UNEXPECTED;
LOG_WARN("get unexpected expr", K(ret), K(left_expr), K(right_expr));
}
if (OB_SUCC(ret)) {
if (OB_FAIL(left_exprs.push_back(left_expr))) {
LOG_WARN("failed to push back expr", K(ret));
} else if (OB_FAIL(right_exprs.push_back(right_expr))) {
LOG_WARN("failed to push back expr", K(ret));
} else if (OB_FAIL(null_safes.push_back(T_OP_NSEQ == cur_expr->get_expr_type()))) {
LOG_WARN("failed to push back null safe", K(ret));
}
}
}
return ret;
}
int ObSimpleJoinSelEstimator::get_cntcols_eq_cntcols_sel(const OptTableMetas &table_metas,
const OptSelectivityCtx &ctx,
const ObIArray<ObRawExpr *> &left_exprs,
const ObIArray<ObRawExpr *> &right_exprs,
const ObIArray<bool> &null_safes,
double &selectivity)
{
int ret = OB_SUCCESS;
selectivity = DEFAULT_EQ_SEL;
ObSEArray<double, 4> left_ndvs;
ObSEArray<double, 4> right_ndvs;
ObSEArray<double, 4> left_not_null_sels;
ObSEArray<double, 4> right_not_null_sels;
double left_ndv = 1.0;
double right_ndv = 1.0;
double left_nns = 1.0;
double right_nns = 1.0;
double left_rows = 1.0;
double right_rows = 1.0;
double left_origin_rows = 1.0;
double right_origin_rows = 1.0;
bool left_contain_pk = false;
bool right_contain_pk = false;
bool is_union_pk = false;
bool refine_right_ndv = false;
bool refine_left_ndv = false;
if (OB_ISNULL(ctx.get_plan())) {
ret = OB_ERR_UNEXPECTED;
LOG_WARN("get unexpected null", K(ret));
} else if (OB_FAIL(ObOptSelectivity::is_columns_contain_pkey(table_metas, left_exprs,
left_contain_pk, is_union_pk))) {
LOG_WARN("failed to check is columns contain pkey", K(ret));
} else if (OB_FALSE_IT(refine_right_ndv = left_contain_pk && is_union_pk)) {
} else if (OB_FAIL(ObOptSelectivity::is_columns_contain_pkey(table_metas, right_exprs,
right_contain_pk, is_union_pk))) {
LOG_WARN("failed to check is columns contain pkey", K(ret));
} else if (OB_FALSE_IT(refine_left_ndv = right_contain_pk && is_union_pk)) {
} else {
for (int64_t i = 0; OB_SUCC(ret) && i < left_exprs.count(); ++i) {
if (OB_ISNULL(left_exprs.at(i)) || OB_ISNULL(right_exprs.at(i))) {
ret = OB_ERR_UNEXPECTED;
LOG_WARN("get unexpected null", K(ret));
} else if (OB_FAIL(ObOptSelectivity::get_column_ndv_and_nns(table_metas, ctx, *left_exprs.at(i),
&left_ndv, &left_nns))) {
LOG_WARN("failed to get left ndv and nns", K(ret));
} else if (OB_FAIL(ObOptSelectivity::get_column_ndv_and_nns(table_metas, ctx, *right_exprs.at(i),
&right_ndv, &right_nns))) {
LOG_WARN("failed to get left ndv and nns", K(ret));
} else if (OB_FAIL(left_not_null_sels.push_back(left_nns))) {
LOG_WARN("failed to push back not null sel", K(ret));
} else if (OB_FAIL(right_not_null_sels.push_back(right_nns))) {
LOG_WARN("failed to push back not null sel", K(ret));
} else if (OB_FAIL(left_ndvs.push_back(left_ndv))) {
LOG_WARN("failed to push back ndv", K(ret));
} else if (OB_FAIL(right_ndvs.push_back(right_ndv))) {
LOG_WARN("failed to push back ndv", K(ret));
} else if (0 == i) {
if (OB_FAIL(ObOptSelectivity::get_column_basic_info(table_metas, ctx, *left_exprs.at(i),
NULL, NULL, NULL, &left_rows))) {
LOG_WARN("failed to get column basic info", K(ret));
} else if (OB_FAIL(ObOptSelectivity::get_column_basic_info(table_metas, ctx, *right_exprs.at(i),
NULL, NULL, NULL, &right_rows))) {
LOG_WARN("failed to get column basic info", K(ret));
} else if (refine_right_ndv &&
OB_FAIL(ObOptSelectivity::get_column_basic_info(ctx.get_plan()->get_basic_table_metas(),
ctx, *left_exprs.at(i),
NULL, NULL, NULL, &left_origin_rows))) {
LOG_WARN("failed to get column basic info", K(ret));
} else if (refine_left_ndv &&
OB_FAIL(ObOptSelectivity::get_column_basic_info(ctx.get_plan()->get_basic_table_metas(),
ctx, *right_exprs.at(i),
NULL, NULL, NULL, &right_origin_rows))) {
LOG_WARN("failed to get column basic info", K(ret));
}
}
}
}
if (OB_FAIL(ret)) {
} else if (OB_FAIL(ObOptSelectivity::calculate_distinct(table_metas, ctx, left_exprs, left_rows, left_ndv))) {
LOG_WARN("Failed to calculate distinct", K(ret));
} else if (OB_FAIL(ObOptSelectivity::calculate_distinct(table_metas, ctx, right_exprs, right_rows, right_ndv))) {
LOG_WARN("Failed to calculate distinct", K(ret));
} else if (IS_SEMI_ANTI_JOIN(ctx.get_join_type())) {
/**
* 对于 semi anti join, 选择率描述的是外表行数为基础的选择率
* # FORMULA
* ## non NULL safe
* a) semi: `(min(left_ndv, right_ndv) / left_ndv) * left_not_null_sel(i)`
* ## NULL safe
* a) semi: non NULL safe selectivity + `nullsafe(i) && left_not_null_sel(i) < 1.0 ? null_sel(i) * selectivity(j) [where j != i]: 0`
*/
if (IS_LEFT_SEMI_ANTI_JOIN(ctx.get_join_type())) {
selectivity = std::min(left_ndv, right_ndv) / left_ndv;
for (int64_t i = 0; i < left_not_null_sels.count(); ++i) {
selectivity *= left_not_null_sels.at(i);
}
// 处理 null safe，这里假设多列上同时为null即小概率事件，只考虑特定列上为null的情况
for (int64_t i = 0; i < null_safes.count(); ++i) {
if (OB_UNLIKELY(null_safes.at(i) && right_not_null_sels.at(i) < 1.0)) {
double factor = 1.0;
for (int64_t j = 0; j < null_safes.count(); ++j) {
if (i == j) {
factor *= (1 - left_not_null_sels.at(j));
} else {
factor *= left_not_null_sels.at(j) * std::min(left_ndvs.at(j), right_ndvs.at(j)) / left_ndvs.at(j);
}
}
selectivity += factor;
}
}
} else {
selectivity = std::min(left_ndv, right_ndv) / right_ndv;
for (int64_t i = 0; i < right_not_null_sels.count(); ++i) {
selectivity *= right_not_null_sels.at(i);
}
// 处理 null safe，这里假设多列上同时为null即小概率事件，只考虑特定列上为null的情况
for (int64_t i = 0; i < null_safes.count(); ++i) {
if (OB_UNLIKELY(null_safes.at(i) && right_not_null_sels.at(i) < 1.0)) {
double factor = 1.0;
for (int64_t j = 0; j < null_safes.count(); ++j) {
if (i == j) {
factor *= (1 - right_not_null_sels.at(j));
} else {
factor *= right_not_null_sels.at(j) * std::min(left_ndvs.at(j), right_ndvs.at(j)) / right_ndvs.at(j);
}
}
selectivity += factor;
}
}
}
} else {
/**
* # FORMULA
* ## non NULL safe
* 1 / MAX(ndv1, ndv2) * not_null_frac1_col1 * not_null_frac2_col1 * not_null_frac1_col2 * not_null_frac2_col2 * ...
* ## NULL safe
* non NULL safe selectivity + `nullsafe(i) ? (1 - not_null_frac1_col(i)) * (1 - not_null_frac2_col(i)) * selectivity(col(j)) [where j != i]: 0`
* 目前不会特殊考虑 outer join 的选择率, 而是在外层对行数进行 revise.
*/
if (left_contain_pk == right_contain_pk) {
// 两侧都不是主键或都是主键, 不做修正
} else if (refine_right_ndv) {
// 一侧有主键时, 认为是主外键连接, 外键上最大的ndv为即为主键的原始ndv
right_ndv = std::min(right_ndv, left_origin_rows);
} else if (refine_left_ndv) {
left_ndv = std::min(left_ndv, right_origin_rows);
} else {
// do nothing
}
selectivity = 1.0 / std::max(left_ndv, right_ndv);
for (int64_t i = 0; i < left_not_null_sels.count(); ++i) {
selectivity *= left_not_null_sels.at(i) * right_not_null_sels.at(i);
}
// 处理null safe, 这里假设多列上同时为null即小概率事件，只考虑特定列上为null的情况
for (int64_t i = 0; i < null_safes.count(); ++i) {
if (null_safes.at(i)) {
double factor = 1.0;
for (int64_t j = 0; j < null_safes.count(); ++j) {
if (i == j) {
factor *= (1 - left_not_null_sels.at(j)) * (1 - right_not_null_sels.at(j));
} else {
factor *= left_not_null_sels.at(j) * right_not_null_sels.at(j) / std::max(left_ndvs.at(j), right_ndvs.at(j));
}
}
selectivity += factor;
} else {/* do nothing */}
}
}
LOG_TRACE("selectivity of `col_ref1 =|<=> col_ref1 and col_ref2 =|<=> col_ref2`", K(selectivity));
return ret;
}
// extract expr like '(-) col1 +(-) col2 + offset'
int ObInequalJoinSelEstimator::extract_column_offset(const OptSelectivityCtx &ctx,
const ObRawExpr *expr,
bool is_minus,
bool &is_valid,
ObInequalJoinSelEstimator::Term &term,
double &offset)
{
int ret = OB_SUCCESS;
is_valid = true;
if (OB_ISNULL(expr)) {
ret = OB_ERR_UNEXPECTED;
LOG_WARN("unexpected param", KPC(expr));
} else if (!ob_is_numeric_type(expr->get_data_type())) {
is_valid = false;
} else if (OB_FAIL(ObOptSelectivity::remove_ignorable_func_for_est_sel(expr))) {
LOG_WARN("failed to remove ignorable expr", KPC(expr));
} else if (!ob_is_numeric_type(expr->get_data_type())) {
is_valid = false;
} else if (T_OP_ADD == expr->get_expr_type() || T_OP_MINUS == expr->get_expr_type()) {
bool child_is_minus = (T_OP_MINUS == expr->get_expr_type()) ? !is_minus : is_minus;
if (OB_UNLIKELY(expr->get_param_count() != 2)) {
ret = OB_ERR_UNEXPECTED;
LOG_WARN("unexpected param", KPC(expr));
} else if (OB_FAIL(SMART_CALL(extract_column_offset(ctx, expr->get_param_expr(0), is_minus, is_valid, term, offset)))) {
LOG_WARN("failed to extract col offset", K(ret));
} else if (!is_valid) {
// do nothing
} else if (OB_FAIL(SMART_CALL(extract_column_offset(ctx, expr->get_param_expr(1), child_is_minus, is_valid, term, offset)))) {
LOG_WARN("failed to extract col offset", K(ret));
}
} else if (T_OP_NEG == expr->get_expr_type() || T_OP_POS == expr->get_expr_type()) {
bool child_is_minus = (T_OP_NEG == expr->get_expr_type()) ? !is_minus : is_minus;
if (OB_UNLIKELY(expr->get_param_count() != 1)) {
ret = OB_ERR_UNEXPECTED;
LOG_WARN("unexpected param", KPC(expr));
} else if (OB_FAIL(SMART_CALL(extract_column_offset(ctx, expr->get_param_expr(0), child_is_minus, is_valid, term, offset)))) {
LOG_WARN("failed to extract col offset", K(ret));
}
} else if (expr->is_column_ref_expr()) {
if (term.col1_ == NULL) {
term.col1_ = static_cast<const ObColumnRefRawExpr *>(expr);
term.coefficient1_ = is_minus ? -1.0 : 1.0;
} else if (term.col2_ == NULL) {
term.col2_ = static_cast<const ObColumnRefRawExpr *>(expr);
term.coefficient2_ = is_minus ? -1.0 : 1.0;
} else {
is_valid = false;
}
} else if (expr->is_static_const_expr()) {
ObObj const_value;
ObObj scalar_value;
bool got_result = false;
if (OB_FAIL(ObSQLUtils::calc_const_or_calculable_expr(ctx.get_opt_ctx().get_exec_ctx(),
expr,
const_value,
got_result,
ctx.get_allocator()))) {
LOG_WARN("failed to calc const or calculable expr", K(ret));
} else if (!got_result || !const_value.is_numeric_type() || const_value.is_null()) {
is_valid = false;
} else if (OB_FAIL(ObOptEstObjToScalar::convert_obj_to_scalar_obj(&const_value, &scalar_value))) {
LOG_WARN("failed to convert obj to scalar", K(const_value));
} else {
if (is_minus) {
offset -= scalar_value.get_double();
} else {
offset += scalar_value.get_double();
}
}
} else {
is_valid = false;
}
return ret;
}
int ObInequalJoinSelEstimator::create_estimator(ObSelEstimatorFactory &factory,
const OptSelectivityCtx &ctx,
const ObRawExpr &expr,
ObSelEstimator *&estimator)
{
int ret = OB_SUCCESS;
ObInequalJoinSelEstimator *ineq_join_estimator = NULL;
bool is_valid = true;
if (IS_RANGE_CMP_OP(expr.get_expr_type())) {
Term term;
double offset = 0.0;
if (2 != expr.get_param_count()) {
ret = OB_ERR_UNEXPECTED;
LOG_WARN("expr should have 2 param", K(ret), K(expr));
} else if (OB_FAIL(extract_column_offset(ctx, expr.get_param_expr(0), false, is_valid, term, offset))) {
LOG_WARN("failed to extract column diff", KPC(expr.get_param_expr(0)));
} else if (!is_valid) {
// do nothing
} else if (OB_FAIL(extract_column_offset(ctx, expr.get_param_expr(1), true, is_valid, term, offset))) {
LOG_WARN("failed to extract column diff", KPC(expr.get_param_expr(1)));
} else if (!is_valid || !term.is_valid()) {
is_valid = false;
} else if (OB_FAIL(factory.create_estimator_inner(ineq_join_estimator))) {
LOG_WARN("failed to create estimator ", K(ret));
} else {
ineq_join_estimator->term_ = term;
ineq_join_estimator->set_bound(expr.get_expr_type(), -offset);
}
} else if (T_OP_BTW == expr.get_expr_type()) {
Term term1;
Term term2;
double offset1 = 0.0;
double offset2 = 0.0;
bool is_same = false;
bool need_reverse = false;
if (3 != expr.get_param_count()) {
ret = OB_ERR_UNEXPECTED;
LOG_WARN("between expr should have 3 param", K(ret), K(expr));
} else if (OB_FAIL(extract_column_offset(ctx, expr.get_param_expr(0), false, is_valid, term1, offset1))) {
LOG_WARN("failed to extract column diff", KPC(expr.get_param_expr(0)));
} else if (!is_valid) {
// do nothing
} else if (FALSE_IT(offset2 = offset1) || FALSE_IT(term2 = term1)) {
} else if (OB_FAIL(extract_column_offset(ctx, expr.get_param_expr(1), true, is_valid, term1, offset1))) {
LOG_WARN("failed to extract column diff", KPC(expr.get_param_expr(1)));
} else if (OB_FAIL(extract_column_offset(ctx, expr.get_param_expr(2), true, is_valid, term2, offset2))) {
LOG_WARN("failed to extract column diff", KPC(expr.get_param_expr(2)));
} else if (!is_valid || !term1.is_valid() || !term2.is_valid()) {
is_valid = false;
} else if (FALSE_IT(cmp_term(term1, term2, is_same, need_reverse))) {
} else if (!is_same || need_reverse) {
is_valid = false;
} else if (OB_FAIL(factory.create_estimator_inner(ineq_join_estimator))) {
LOG_WARN("failed to create estimator ", K(ret));
} else {
ineq_join_estimator->term_ = term1;
ineq_join_estimator->set_bound(T_OP_GE, -offset1);
ineq_join_estimator->set_bound(T_OP_LE, -offset2);
}
}
estimator = ineq_join_estimator;
return ret;
}
void ObInequalJoinSelEstimator::cmp_term(const ObInequalJoinSelEstimator::Term &t1,
const ObInequalJoinSelEstimator::Term &t2,
bool &is_equal, bool &need_reverse)
{
is_equal = false;
need_reverse = false;
if (t1.col1_ == t2.col1_ && t1.col2_ == t2.col2_) {
if (t1.coefficient1_ == t2.coefficient1_ && t1.coefficient2_ == t2.coefficient2_) {
is_equal = true;
} else if (t1.coefficient1_ == -t2.coefficient1_ && t1.coefficient2_ == -t2.coefficient2_) {
is_equal = true;
need_reverse = true;
}
} else if (t1.col1_ == t2.col2_ && t1.col2_ == t2.col1_) {
if (t1.coefficient1_ == t2.coefficient2_ && t1.coefficient2_ == t2.coefficient1_) {
is_equal = true;
} else if (t1.coefficient1_ == -t2.coefficient2_ && t1.coefficient2_ == -t2.coefficient1_) {
is_equal = true;
need_reverse = true;
}
}
}
void ObInequalJoinSelEstimator::set_bound(ObItemType item_type, double bound)
{
if (T_OP_LE == item_type) {
has_upper_bound_ = true;
upper_bound_ = bound;
include_upper_bound_ = true;
} else if (T_OP_LT == item_type) {
has_upper_bound_ = true;
upper_bound_ = bound;
include_upper_bound_ = false;
} else if (T_OP_GE == item_type) {
has_lower_bound_ = true;
lower_bound_ = bound;
include_lower_bound_ = true;
} else if (T_OP_GT == item_type) {
has_lower_bound_ = true;
lower_bound_ = bound;
include_lower_bound_ = false;
}
}
void ObInequalJoinSelEstimator::reverse()
{
term_.coefficient1_ = -term_.coefficient1_;
term_.coefficient2_ = -term_.coefficient2_;
std::swap(has_lower_bound_, has_upper_bound_);
std::swap(include_lower_bound_, include_upper_bound_);
std::swap(lower_bound_, upper_bound_);
lower_bound_ = -lower_bound_;
upper_bound_ = -upper_bound_;
}
void ObInequalJoinSelEstimator::update_lower_bound(double bound, bool include)
{
if (!has_lower_bound_ ||
is_higher_lower_bound(bound, include, lower_bound_, include_lower_bound_)) {
include_lower_bound_ = include;
lower_bound_ = bound;
}
has_lower_bound_ = true;
}
void ObInequalJoinSelEstimator::update_upper_bound(double bound, bool include) {
if (!has_upper_bound_ ||
is_higher_upper_bound(upper_bound_, include_upper_bound_, bound, include)) {
include_upper_bound_ = include;
upper_bound_ = bound;
}
has_upper_bound_= true;
}
int ObInequalJoinSelEstimator::merge(const ObSelEstimator &other_estmator, bool &is_success)
{
int ret = OB_SUCCESS;
is_success = false;
if (get_type() == other_estmator.get_type()) {
const ObInequalJoinSelEstimator &other = static_cast<const ObInequalJoinSelEstimator &>(other_estmator);
bool need_reverse = false;
cmp_term(term_, other.term_, is_success, need_reverse);
if (is_success){
if (need_reverse) {
reverse();
}
if (other.has_lower_bound_) {
update_lower_bound(other.lower_bound_, other.include_lower_bound_);
}
if (other.has_upper_bound_) {
update_upper_bound(other.upper_bound_, other.include_upper_bound_);
}
}
}
return ret;
}
double ObInequalJoinSelEstimator::get_gt_sel(double min1,
double max1,
double min2,
double max2,
double offset)
{
double selectivity = 0.0;
double total = (max2 - min2) * (max1 - min1);
if (offset < min1 + min2) {
selectivity = 1.0;
} else if (offset < max1 + min2 && offset < min1 + max2 && total > OB_DOUBLE_EPSINON) {
selectivity = 1 - (offset - min1 - min2) * (offset - min1 - min2) / (2 * total);
} else if (offset >= max1 + min2 && offset < min1 + max2 && max1 - min1 > OB_DOUBLE_EPSINON) {
selectivity = (2 * max2 + min1 + max1 - 2 * offset) / (2 * (max2 - min2));
} else if (offset >= min1 + max2 && offset < max1 + min2 && max2 - min2 > OB_DOUBLE_EPSINON) {
selectivity = (min2 + max2 + 2 * max1 - 2 * offset) / (2 * (max1 - min1));
} else if (offset < max1 + max2 && total > OB_DOUBLE_EPSINON) {
selectivity = (max1 + max2 - offset) * (max1 + max2 - offset) / (2 * total);
} else {
selectivity = 0.0;
}
return selectivity;
}
double ObInequalJoinSelEstimator::get_any_gt_sel(double min1,
double max1,
double min2,
double max2,
double offset)
{
double selectivity = 0.0;
if (offset < min1 + max2) {
selectivity = 1.0;
} else if (offset < max1 + max2 && max1 - min1 > OB_DOUBLE_EPSINON) {
selectivity = (max1 + max2 - offset) / (max1 - min1);
} else {
selectivity = 0.0;
}
return selectivity;
}
double ObInequalJoinSelEstimator::get_all_gt_sel(double min1,
double max1,
double min2,
double max2,
double offset)
{
double selectivity = 0.0;
if (offset < min1 + min2) {
selectivity = 1.0;
} else if (offset < max1 + min2 && max1 - min1 > OB_DOUBLE_EPSINON) {
selectivity = (max1 + min2 - offset) / (max1 - min1);
} else {
selectivity = 0.0;
}
return selectivity;
}
double ObInequalJoinSelEstimator::get_equal_sel(double min1,
double max1,
double ndv1,
double min2,
double max2,
double ndv2,
double offset,
bool is_semi)
{
double selectivity = 0.0;
double overlap = 0.0;
double overlap_ndv1 = 1.0, overlap_ndv2 = 1.0;
if (offset < min1 + min2) {
overlap = 0.0;
} else if (offset < max1 + min2 && offset < min1 + max2) {
overlap = offset - min1 - min2;
} else if (offset >= max1 + min2 && offset < min1 + max2) {
overlap = max1 - min1;
} else if (offset >= min1 + max2 && offset < max1 + min2) {
overlap = max2 - min2;
} else if (offset < max1 + max2) {
overlap = max1 + max2 - offset;
} else {
overlap = 0.0;
}
if (max1 - min1 > OB_DOUBLE_EPSINON) {
overlap_ndv1 = revise_ndv(ndv1 * overlap / (max1 - min1)) ;
} else {
overlap_ndv1 = 1;
}
if (max2 - min2 > OB_DOUBLE_EPSINON) {
overlap_ndv2 = revise_ndv(ndv2 * overlap / (max2 - min2)) ;
} else {
overlap_ndv2 = 1;
}
if (is_semi) {
selectivity = overlap_ndv1 / ndv1;
} else {
selectivity = 1 / max(overlap_ndv1, overlap_ndv2) * (overlap_ndv1 / ndv1) * (overlap_ndv2 / ndv2);
}
return selectivity;
}
int ObInequalJoinSelEstimator::get_sel(const OptTableMetas &table_metas,
const OptSelectivityCtx &ctx,
double &selectivity,
ObIArray<ObExprSelPair> &all_predicate_sel)
{
int ret = OB_SUCCESS;
ObObj obj_min, obj_max, tmp_obj;
selectivity = 1.0;
double nns1, nns2, ndv1, ndv2;
double min1, min2, max1, max2;
double lower_bound = lower_bound_;
double upper_bound = upper_bound_;
bool is_eq = include_lower_bound_ && include_upper_bound_ &&
upper_bound - lower_bound <= OB_DOUBLE_EPSINON &&
lower_bound - upper_bound <= OB_DOUBLE_EPSINON;
if (OB_ISNULL(term_.col1_) ||
OB_ISNULL(term_.col2_) ||
OB_UNLIKELY(!has_lower_bound_ && !has_upper_bound_) ||
OB_UNLIKELY(fabs(term_.coefficient1_) != 1.0) ||
OB_UNLIKELY(fabs(term_.coefficient2_) != 1.0)) {
ret = OB_ERR_UNEXPECTED;
LOG_WARN("unexpected param", KPC(this));
} else if (OB_FAIL(ObOptSelectivity::get_column_ndv_and_nns(table_metas, ctx, *term_.col1_, &ndv1, &nns1))) {
LOG_WARN("failed to get nns");
} else if (OB_FAIL(ObOptSelectivity::get_column_ndv_and_nns(table_metas, ctx, *term_.col2_, &ndv2, &nns2))) {
LOG_WARN("failed to get nns");
} else if (has_lower_bound_ && has_upper_bound_ &&
lower_bound >= upper_bound && !is_eq) {
// always false
// e.g. 1 < c1 + c2 < 0
selectivity = 0.0;
} else if (term_.col1_->get_table_id() == term_.col2_->get_table_id() &&
term_.col1_->get_column_id() == term_.col2_->get_column_id()) {
// same column
if (fabs(term_.coefficient1_ + term_.coefficient2_) <= OB_DOUBLE_EPSINON) {
if (has_lower_bound_ &&
is_higher_lower_bound(lower_bound, include_lower_bound_, 0, true)) {
// e.g. : c1 - c1 > 1
selectivity = 0.0;
} else if (has_upper_bound_ &&
is_higher_upper_bound(0, true, upper_bound, include_upper_bound_)) {
// e.g. : c1 - c1 < - 1
selectivity = 0.0;
} else {
// e.g. : c1 - c1 < 1
selectivity = nns1;
}
} else {
// TODO : c1 + c1 < 1
selectivity = DEFAULT_INEQ_JOIN_SEL;
}
} else if (OB_FAIL(ObOptSelectivity::get_column_min_max(table_metas, ctx, *term_.col1_, obj_min, obj_max))) {
LOG_WARN("failed to get column min max", K(ret), KPC(term_.col1_));
} else if (obj_min.is_min_value() || obj_min.is_max_value() ||
obj_max.is_max_value() || obj_max.is_min_value()) {
selectivity = DEFAULT_INEQ_JOIN_SEL;
} else if (OB_FAIL(ObOptEstObjToScalar::convert_obj_to_scalar_obj(&obj_min, &tmp_obj))) {
LOG_WARN("failed to convert obj", K(obj_min));
} else if (FALSE_IT(min1 = tmp_obj.get_double() * term_.coefficient1_)) {
} else if (OB_FAIL(ObOptEstObjToScalar::convert_obj_to_scalar_obj(&obj_max, &tmp_obj))) {
LOG_WARN("failed to convert obj", K(obj_max));
} else if (FALSE_IT(max1 = tmp_obj.get_double() * term_.coefficient1_)) {
} else if (OB_FAIL(ObOptSelectivity::get_column_min_max(table_metas, ctx, *term_.col2_, obj_min, obj_max))) {
LOG_WARN("failed to get column min max", K(ret), KPC(term_.col2_));
} else if (obj_min.is_min_value() || obj_min.is_max_value() ||
obj_max.is_max_value() || obj_max.is_min_value()) {
selectivity = DEFAULT_INEQ_JOIN_SEL;
} else if (OB_FAIL(ObOptEstObjToScalar::convert_obj_to_scalar_obj(&obj_min, &tmp_obj))) {
LOG_WARN("failed to convert obj", K(obj_min));
} else if (FALSE_IT(min2 = tmp_obj.get_double() * term_.coefficient2_)) {
} else if (OB_FAIL(ObOptEstObjToScalar::convert_obj_to_scalar_obj(&obj_max, &tmp_obj))) {
LOG_WARN("failed to convert obj", K(obj_max));
} else if (FALSE_IT(max2 = tmp_obj.get_double() * term_.coefficient2_)) {
} else {
if (term_.coefficient1_ < 0) {
std::swap(min1, max1);
}
if (term_.coefficient2_ < 0) {
std::swap(min2, max2);
}
bool is_semi = IS_SEMI_ANTI_JOIN(ctx.get_join_type());
if (is_semi) {
if (OB_ISNULL(ctx.get_left_rel_ids()) || OB_ISNULL(ctx.get_right_rel_ids())) {
ret = OB_ERR_UNEXPECTED;
LOG_WARN("get unexpected null", K(ctx.get_left_rel_ids()), K(ctx.get_right_rel_ids()));
} else if (term_.col1_->get_relation_ids().overlap(*ctx.get_right_rel_ids()) ||
term_.col2_->get_relation_ids().overlap(*ctx.get_left_rel_ids())) {
std::swap(min1, min2);
std::swap(max1, max2);
std::swap(ndv1, ndv2);
std::swap(nns1, nns2);
}
}
if (OB_FAIL(ret)) {
} else if (OB_UNLIKELY(min1 > max1) ||
OB_UNLIKELY(min2 > max2)) {
ret = OB_ERR_UNEXPECTED;
LOG_WARN("unexpected min max", K(min1), K(max1), K(min2), K(max2), KPC(this));
} else if (fabs(max1 - min1) <= OB_DOUBLE_EPSINON && fabs(max2 - min2) <= OB_DOUBLE_EPSINON) {
// Both c1 and c2 have only one value
// e.g. c1 in [1,1] and c2 in [2,2]
selectivity = get_sel_for_point(min1, min2);
} else if (is_eq) {
// lower bound is the same as the upper bound
// e.g : 1 <= c1 + c2 <= 1;
selectivity = ObInequalJoinSelEstimator::get_equal_sel(min1, max1, ndv1, min2, max2, ndv2, lower_bound, is_semi);
} else if (is_semi) {
// calculate selectivity for semi join
// e.g. : 0 <= c1 + c2 < 1
double sel1 = has_lower_bound_ ? ObInequalJoinSelEstimator::get_any_gt_sel(min1, max1, min2, max2, lower_bound) : 1.0;
double sel2 = has_upper_bound_ ? ObInequalJoinSelEstimator::get_all_gt_sel(min1, max1, min2, max2, upper_bound) : 0.0;
// the sel of `any c2 satisfy 'a < c1 + c2 < b'` =
// the sel of `any c2 satisfy 'c1 + c2 > a'` minus the sel of `all c2 satisfy 'c1 + c2 > b'`
selectivity = sel1 - sel2;
if (include_lower_bound_ && ndv1 > 1) {
selectivity += 1 / ndv1;
}
if (include_upper_bound_ && ndv1 > 1) {
selectivity += 1 / ndv1;
}
} else {
// calculate selectivity for inner join
// e.g. : 0 <= c1 + c2 < 1
double sel1 = has_lower_bound_ ? ObInequalJoinSelEstimator::get_gt_sel(min1, max1, min2, max2, lower_bound) : 1.0;
double sel2 = has_upper_bound_ ? ObInequalJoinSelEstimator::get_gt_sel(min1, max1, min2, max2, upper_bound) : 0.0;
// the sel of 'a < c1 + c2 < b' =
// the sel of 'c1 + c2 > a' minus the sel of 'c1 + c2 > b'
selectivity = sel1 - sel2;
if (include_lower_bound_) {
selectivity += ObInequalJoinSelEstimator::get_equal_sel(min1, max1, ndv1, min2, max2, ndv2, lower_bound, is_semi);
}
if (include_upper_bound_) {
selectivity += ObInequalJoinSelEstimator::get_equal_sel(min1, max1, ndv1, min2, max2, ndv2, upper_bound, is_semi);
}
}
selectivity = ObOptSelectivity::revise_between_0_1(selectivity);
// process not null sel
if (is_semi) {
selectivity *= nns1;
} else {
selectivity *= nns1 * nns2;
}
}
return ret;
}
double ObInequalJoinSelEstimator::get_sel_for_point(double point1, double point2)
{
bool within_interval = true;
double sum = point1 + point2;
if (has_lower_bound_) {
within_interval &= include_lower_bound_ ? sum >= lower_bound_ : sum > lower_bound_;
}
if (has_upper_bound_) {
within_interval &= include_upper_bound_ ? sum <= upper_bound_ : sum < upper_bound_;
}
return within_interval ? 1.0 : 0.0;
}
int ObSelEstimatorFactory::create_estimator(const OptSelectivityCtx &ctx,
const ObRawExpr *expr,
ObSelEstimator *&new_estimator)
{
int ret = OB_SUCCESS;
new_estimator = NULL;
/*
* The ordering to create the estimator is important
*/
static const CreateEstimatorFunc create_estimator_funcs[] =
{
ObSimpleJoinSelEstimator::create_estimator,
ObRangeSelEstimator::create_estimator,
ObInequalJoinSelEstimator::create_estimator,
ObAggSelEstimator::create_estimator,
ObConstSelEstimator::create_estimator,
ObColumnSelEstimator::create_estimator,
ObEqualSelEstimator::create_estimator,
ObLikeSelEstimator::create_estimator,
ObBoolOpSelEstimator::create_estimator,
ObInSelEstimator::create_estimator,
ObIsSelEstimator::create_estimator,
ObCmpSelEstimator::create_estimator,
ObBtwSelEstimator::create_estimator,
ObDefaultSelEstimator::create_estimator,
};
static const int64_t func_cnt = sizeof(create_estimator_funcs)/sizeof(CreateEstimatorFunc);
if (OB_ISNULL(expr)) {
ret = OB_ERR_UNEXPECTED;
LOG_WARN("unexpected null expr", KPC(expr));
} else if (OB_FAIL(ObOptimizerUtil::get_expr_without_lossless_cast(expr, expr))) {
LOG_WARN("failed to get lossless cast expr", K(ret));
}
for (int64_t i = 0; OB_SUCC(ret) && NULL == new_estimator && i < func_cnt; i ++) {
if (OB_FAIL(create_estimator_funcs[i](*this, ctx, *expr, new_estimator))) {
LOG_WARN("failed to create estimator", K(ret));
}
}
if (OB_SUCC(ret) && OB_ISNULL(new_estimator)) {
ret = OB_ERR_UNEXPECTED;
LOG_WARN("failed to create estimator", KPC(new_estimator), KPC(expr));
}
LOG_DEBUG("succeed to create estimator", KPC(new_estimator));
return ret;
}
}//end of namespace sql
}//end of namespace oceanbase
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