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https://github.com/Z3Prover/z3
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update join planner to take projected columns into account
Signed-off-by: Nikolaj Bjorner <nbjorner@microsoft.com>
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parent
1733af2641
commit
2d01c4d50f
1 changed files with 82 additions and 63 deletions
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@ -61,9 +61,6 @@ namespace datalog {
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}
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cost get_cost() const {
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/*if(m_instantiated) {
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return std::numeric_limits<cost>::min();
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}*/
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SASSERT(m_consumers > 0);
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cost amortized = m_total_cost/m_consumers;
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if (m_stratified) {
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@ -81,13 +78,14 @@ namespace datalog {
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by the time of a call to this function
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*/
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void add_rule(join_planner & pl, app * t1, app * t2, rule * r,
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const var_idx_set & non_local_vars_normalized) {
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const var_idx_set & non_local_vars_normalized,
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const var_idx_set & non_local_vars) {
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if (m_rules.empty()) {
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m_total_cost = pl.compute_cost(t1, t2);
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m_total_cost = pl.compute_cost(t1, t2, non_local_vars);
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m_src_stratum = std::max(pl.get_stratum(t1->get_decl()), pl.get_stratum(t2->get_decl()));
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}
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m_rules.push_back(r);
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if(pl.m_rules_content.find_core(r)->get_data().m_value.size()>2) {
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if (pl.m_rules_content.find(r).size()>2) {
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m_consumers++;
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}
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if (m_stratified) {
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@ -274,8 +272,6 @@ namespace datalog {
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by the time of a call to this function
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*/
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void register_pair(app * t1, app * t2, rule * r, const var_idx_set & non_local_vars) {
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TRACE("dl", tout << mk_pp(t1, m) << " " << mk_pp(t2, m) << "\n";
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r->display(m_context, tout); tout << "\n";);
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SASSERT(t1!=t2);
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cost_map::entry * e = m_costs.insert_if_not_there2(get_key(t1, t2), 0);
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pair_info * & ptr_inf = e->get_data().m_value;
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@ -295,13 +291,18 @@ namespace datalog {
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normalized_vars.insert(norm_var);
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}
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inf.add_rule(*this, t1, t2, r, normalized_vars);
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inf.add_rule(*this, t1, t2, r, normalized_vars, non_local_vars);
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TRACE("dl", tout << mk_pp(t1, m) << " " << mk_pp(t2, m) << " ";
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vit = non_local_vars.begin();
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for (; vit != vend; ++vit) tout << *vit << " ";
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tout << "\n";
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r->display(m_context, tout);
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if (inf.can_be_joined()) tout << "cost: " << inf.get_cost() << "\n";);
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}
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pair_info & get_pair(app_pair key) const {
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cost_map::entry * e = m_costs.find_core(key);
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SASSERT(e);
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return *e->get_data().m_value;
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return *m_costs.find(key);
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}
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void remove_rule_from_pair(app_pair key, rule * r, unsigned original_len) {
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@ -503,7 +504,7 @@ namespace datalog {
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void apply_binary_rule(rule * r, app_pair pair_key, app * t_new) {
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app * t1 = pair_key.first;
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app * t2 = pair_key.second;
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ptr_vector<app> & rule_content = m_rules_content.find_core(r)->get_data().m_value;
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ptr_vector<app> & rule_content = m_rules_content.find(r);
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unsigned len = rule_content.size();
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if (len==1) {
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return;
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@ -600,21 +601,39 @@ namespace datalog {
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return res;
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}
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cost compute_cost(app * t1, app * t2) const {
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cost compute_cost(app * t1, app * t2, const var_idx_set & non_local_vars) const {
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func_decl * t1_pred = t1->get_decl();
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func_decl * t2_pred = t2->get_decl();
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cost inters_size = 1;
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variable_intersection vi(m_context.get_manager());
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vi.populate(t1, t2);
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unsigned n = vi.size();
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// remove contributions from joined columns.
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for(unsigned i=0; i<n; i++) {
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unsigned arg_index1, arg_index2;
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vi.get(i, arg_index1, arg_index2);
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SASSERT(is_var(t1->get_arg(arg_index1)));
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if (non_local_vars.contains(to_var(t1->get_arg(arg_index1))->get_idx())) {
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inters_size *= get_domain_size(t1_pred, arg_index1);
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}
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//joined arguments must have the same domain
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SASSERT(get_domain_size(t1_pred, arg_index1)==get_domain_size(t2_pred, arg_index2));
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}
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cost res = estimate_size(t1)*estimate_size(t2)/(inters_size*inters_size);
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// remove contributions from projected columns.
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for (unsigned i = 0; i < t1->get_num_args(); ++i) {
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if (is_var(t1->get_arg(i)) &&
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!non_local_vars.contains(to_var(t1->get_arg(i))->get_idx())) {
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inters_size *= get_domain_size(t1_pred, i);
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}
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}
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for (unsigned i = 0; i < t2->get_num_args(); ++i) {
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if (is_var(t2->get_arg(i)) &&
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!non_local_vars.contains(to_var(t2->get_arg(i))->get_idx())) {
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inters_size *= get_domain_size(t2_pred, i);
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}
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}
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cost res = estimate_size(t1)*estimate_size(t2)/ inters_size; // (inters_size*inters_size);
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//cost res = -inters_size;
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/*unsigned t1_strat = get_stratum(t1_pred);
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