public void setCosts(Costs nodeCosts) { // add the costs from the step function nodeCosts.addCosts(this.rootOfStepFunction.getCumulativeCosts()); // add the costs for the termination criterion, if it exists // the costs are divided at branches, so we can simply add them up if (rootOfTerminationCriterion != null) { nodeCosts.addCosts(this.rootOfTerminationCriterion.getCumulativeCosts()); } super.setCosts(nodeCosts); }
public void setCosts(Costs nodeCosts) { // the plan enumeration logic works as for regular two-input-operators, which is important // because of the branch handling logic. it does pick redistributing network channels // between the sink and the sink joiner, because sinks joiner has a different parallelism than the sink. // we discard any cost and simply use the sum of the costs from the two children. Costs totalCosts = getInput1().getSource().getCumulativeCosts().clone(); totalCosts.addCosts(getInput2().getSource().getCumulativeCosts()); super.setCosts(totalCosts); }
if (cheapest == null || (cheapest.getCumulativeCosts().compareTo(candidate.getCumulativeCosts()) > 0)) { cheapest = candidate; if (cheapestForGlobal[i] == null || (cheapestForGlobal[i].getCumulativeCosts().compareTo(candidate.getCumulativeCosts()) > 0)) { cheapestForGlobal[i] = candidate; if (lps[k].isMetBy(candidate.getLocalProperties())) { final PlanNode previous = localMatches[k]; if (previous == null || previous.getCumulativeCosts().compareTo(candidate.getCumulativeCosts()) > 0) {
p.getCumulativeCosts().getNetworkCost() == -1 ? "(unknown)" : formatNumber(p .getCumulativeCosts().getNetworkCost(), "B"), false); addProperty(writer, "Cumulative Disk I/O", p.getCumulativeCosts().getDiskCost() == -1 ? "(unknown)" : formatNumber(p .getCumulativeCosts().getDiskCost(), "B"), false); addProperty(writer, "Cumulative CPU", p.getCumulativeCosts().getCpuCost() == -1 ? "(unknown)" : formatNumber(p .getCumulativeCosts().getCpuCost(), ""), false);
"(unknown)" : formatNumber(node.getNodeCosts().getCpuCost(), "")); addProperty(gen, "Cumulative Network", node.getCumulativeCosts().getNetworkCost() == -1 ? "(unknown)" : formatNumber(node.getCumulativeCosts().getNetworkCost(), "B")); addProperty(gen, "Cumulative Disk I/O", node.getCumulativeCosts().getDiskCost() == -1 ? "(unknown)" : formatNumber(node.getCumulativeCosts().getDiskCost(), "B")); addProperty(gen, "Cumulative CPU", node.getCumulativeCosts().getCpuCost() == -1 ? "(unknown)" : formatNumber(node.getCumulativeCosts().getCpuCost(), ""));
public void setCosts(Costs nodeCosts) { // add the costs from the step function nodeCosts.addCosts(this.rootOfStepFunction.getCumulativeCosts()); // add the costs for the termination criterion, if it exists // the costs are divided at branches, so we can simply add them up if (rootOfTerminationCriterion != null) { nodeCosts.addCosts(this.rootOfTerminationCriterion.getCumulativeCosts()); } super.setCosts(nodeCosts); }
public void setCosts(Costs nodeCosts) { // add the costs from the step function nodeCosts.addCosts(this.rootOfStepFunction.getCumulativeCosts()); // add the costs for the termination criterion, if it exists // the costs are divided at branches, so we can simply add them up if (rootOfTerminationCriterion != null) { nodeCosts.addCosts(this.rootOfTerminationCriterion.getCumulativeCosts()); } super.setCosts(nodeCosts); }
public void setCosts(Costs nodeCosts) { // add the costs from the step function nodeCosts.addCosts(this.rootOfStepFunction.getCumulativeCosts()); // add the costs for the termination criterion, if it exists // the costs are divided at branches, so we can simply add them up if (rootOfTerminationCriterion != null) { nodeCosts.addCosts(this.rootOfTerminationCriterion.getCumulativeCosts()); } super.setCosts(nodeCosts); }
public void setCosts(Costs nodeCosts) { // add the costs from the step function nodeCosts.addCosts(this.rootOfStepFunction.getCumulativeCosts()); // add the costs for the termination criterion, if it exists // the costs are divided at branches, so we can simply add them up if (rootOfTerminationCriterion != null) { nodeCosts.addCosts(this.rootOfTerminationCriterion.getCumulativeCosts()); } super.setCosts(nodeCosts); }
public void setCosts(Costs nodeCosts) { // the plan enumeration logic works as for regular two-input-operators, which is important // because of the branch handling logic. it does pick redistributing network channels // between the sink and the sink joiner, because sinks joiner has a different parallelism than the sink. // we discard any cost and simply use the sum of the costs from the two children. Costs totalCosts = getInput1().getSource().getCumulativeCosts().clone(); totalCosts.addCosts(getInput2().getSource().getCumulativeCosts()); super.setCosts(totalCosts); }
public void setCosts(Costs nodeCosts) { // the plan enumeration logic works as for regular two-input-operators, which is important // because of the branch handling logic. it does pick redistributing network channels // between the sink and the sink joiner, because sinks joiner has a different parallelism than the sink. // we discard any cost and simply use the sum of the costs from the two children. Costs totalCosts = getInput1().getSource().getCumulativeCosts().clone(); totalCosts.addCosts(getInput2().getSource().getCumulativeCosts()); super.setCosts(totalCosts); }
public void setCosts(Costs nodeCosts) { // the plan enumeration logic works as for regular two-input-operators, which is important // because of the branch handling logic. it does pick redistributing network channels // between the sink and the sink joiner, because sinks joiner has a different parallelism than the sink. // we discard any cost and simply use the sum of the costs from the two children. Costs totalCosts = getInput1().getSource().getCumulativeCosts().clone(); totalCosts.addCosts(getInput2().getSource().getCumulativeCosts()); super.setCosts(totalCosts); }
public void setCosts(Costs nodeCosts) { // the plan enumeration logic works as for regular two-input-operators, which is important // because of the branch handling logic. it does pick redistributing network channels // between the sink and the sink joiner, because sinks joiner has a different parallelism than the sink. // we discard any cost and simply use the sum of the costs from the two children. Costs totalCosts = getInput1().getSource().getCumulativeCosts().clone(); totalCosts.addCosts(getInput2().getSource().getCumulativeCosts()); super.setCosts(totalCosts); }
if (cheapest == null || (cheapest.getCumulativeCosts().compareTo(candidate.getCumulativeCosts()) > 0)) { cheapest = candidate; if (cheapestForGlobal[i] == null || (cheapestForGlobal[i].getCumulativeCosts().compareTo(candidate.getCumulativeCosts()) > 0)) { cheapestForGlobal[i] = candidate; if (lps[k].isMetBy(candidate.getLocalProperties())) { final PlanNode previous = localMatches[k]; if (previous == null || previous.getCumulativeCosts().compareTo(candidate.getCumulativeCosts()) > 0) {
if (cheapest == null || (cheapest.getCumulativeCosts().compareTo(candidate.getCumulativeCosts()) > 0)) { cheapest = candidate; if (cheapestForGlobal[i] == null || (cheapestForGlobal[i].getCumulativeCosts().compareTo(candidate.getCumulativeCosts()) > 0)) { cheapestForGlobal[i] = candidate; if (lps[k].isMetBy(candidate.getLocalProperties())) { final PlanNode previous = localMatches[k]; if (previous == null || previous.getCumulativeCosts().compareTo(candidate.getCumulativeCosts()) > 0) {
if (cheapest == null || (cheapest.getCumulativeCosts().compareTo(candidate.getCumulativeCosts()) > 0)) { cheapest = candidate; if (cheapestForGlobal[i] == null || (cheapestForGlobal[i].getCumulativeCosts().compareTo(candidate.getCumulativeCosts()) > 0)) { cheapestForGlobal[i] = candidate; if (lps[k].isMetBy(candidate.getLocalProperties())) { final PlanNode previous = localMatches[k]; if (previous == null || previous.getCumulativeCosts().compareTo(candidate.getCumulativeCosts()) > 0) {
if (cheapest == null || (cheapest.getCumulativeCosts().compareTo(candidate.getCumulativeCosts()) > 0)) { cheapest = candidate; if (cheapestForGlobal[i] == null || (cheapestForGlobal[i].getCumulativeCosts().compareTo(candidate.getCumulativeCosts()) > 0)) { cheapestForGlobal[i] = candidate; if (lps[k].isMetBy(candidate.getLocalProperties())) { final PlanNode previous = localMatches[k]; if (previous == null || previous.getCumulativeCosts().compareTo(candidate.getCumulativeCosts()) > 0) {
"(unknown)" : formatNumber(node.getNodeCosts().getCpuCost(), "")); addProperty(gen, "Cumulative Network", node.getCumulativeCosts().getNetworkCost() == -1 ? "(unknown)" : formatNumber(node.getCumulativeCosts().getNetworkCost(), "B")); addProperty(gen, "Cumulative Disk I/O", node.getCumulativeCosts().getDiskCost() == -1 ? "(unknown)" : formatNumber(node.getCumulativeCosts().getDiskCost(), "B")); addProperty(gen, "Cumulative CPU", node.getCumulativeCosts().getCpuCost() == -1 ? "(unknown)" : formatNumber(node.getCumulativeCosts().getCpuCost(), ""));
"(unknown)" : formatNumber(node.getNodeCosts().getCpuCost(), "")); addProperty(gen, "Cumulative Network", node.getCumulativeCosts().getNetworkCost() == -1 ? "(unknown)" : formatNumber(node.getCumulativeCosts().getNetworkCost(), "B")); addProperty(gen, "Cumulative Disk I/O", node.getCumulativeCosts().getDiskCost() == -1 ? "(unknown)" : formatNumber(node.getCumulativeCosts().getDiskCost(), "B")); addProperty(gen, "Cumulative CPU", node.getCumulativeCosts().getCpuCost() == -1 ? "(unknown)" : formatNumber(node.getCumulativeCosts().getCpuCost(), ""));
"(unknown)" : formatNumber(node.getNodeCosts().getCpuCost(), "")); addProperty(gen, "Cumulative Network", node.getCumulativeCosts().getNetworkCost() == -1 ? "(unknown)" : formatNumber(node.getCumulativeCosts().getNetworkCost(), "B")); addProperty(gen, "Cumulative Disk I/O", node.getCumulativeCosts().getDiskCost() == -1 ? "(unknown)" : formatNumber(node.getCumulativeCosts().getDiskCost(), "B")); addProperty(gen, "Cumulative CPU", node.getCumulativeCosts().getCpuCost() == -1 ? "(unknown)" : formatNumber(node.getCumulativeCosts().getCpuCost(), ""));