minfun complete

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Mark Wolters authored and Jonathan Shook committed 2024-04-01 14:00:47 -05:00
1 parent ff079c04bc
commit 33483ad2d7
3 files changed
+130 -49

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@@ -25,10 +25,12 @@ import io.nosqlbench.engine.core.lifecycle.scenario.container.NBCommandParams;
import io.nosqlbench.engine.core.lifecycle.scenario.execution.NBBaseCommand;
import io.nosqlbench.nb.api.components.events.ParamChange;
import io.nosqlbench.scenarios.simframe.SimFrameUtils;
import io.nosqlbench.scenarios.simframe.capture.JournalView;
import io.nosqlbench.scenarios.simframe.capture.SimFrameCapture;
import io.nosqlbench.scenarios.simframe.capture.SimFrameJournal;
import io.nosqlbench.scenarios.simframe.capture.SimFrameValueData;
import io.nosqlbench.scenarios.simframe.optimizers.CMD_optimize;
import io.nosqlbench.scenarios.simframe.planning.HoldAndSample;
import io.nosqlbench.scenarios.simframe.planning.SimFrame;
import io.nosqlbench.scenarios.simframe.planning.SimFrameFunction;
import org.apache.commons.math4.legacy.exception.MathIllegalStateException;
@@ -39,6 +41,7 @@ import org.apache.logging.log4j.Logger;
import java.io.PrintWriter;
import java.io.Reader;
import java.util.Comparator;
public class CMD_findmax extends NBBaseCommand {
private final static Logger logger = LogManager.getLogger(CMD_optimize.class);
@@ -63,45 +66,23 @@ public class CMD_findmax extends NBBaseCommand {
findmaxConfig.rate_base(), // initial
findmaxConfig.sample_max(), // max
rate -> flywheel.onEvent(ParamChange.of(new CycleRateSpec(
findmaxConfig.rate_base() + findmaxConfig.rate_step(),
rate,
1.1d,
SimRateSpec.Verb.restart)))
);
SimFrameCapture capture = new SimFrameValueData(flywheel);
SimFrameFunction frameFunction = new FindmaxFrameFunction(controller, findmaxConfig, flywheel, capture, journal, model);
FindmaxAnalyzer analyzer = new FindmaxAnalyzer(frameFunction, model);
FindmaxFrameParams result = analyzer.analyze();
stdout.println("result:" + result);
double[] initialPoint = {findmaxConfig.rate_base()};
double result = frameFunction.value(initialPoint);
while (result != 0.0d) {
result = ((FindmaxFrameFunction) frameFunction).nextStep();
}
SimFrame<FindmaxFrameParams> best = journal.bestRun();
SimFrame<FindmaxFrameParams> best = ((FindmaxFrameFunction)frameFunction).journal().bestRun();
stdout.println("bestrun:\n" + best);
return best.params();
}
private class FindmaxAnalyzer {
private final SimFrameFunction frameFunction;
private final FindmaxParamModel model;
public FindmaxAnalyzer(SimFrameFunction frameFunction, FindmaxParamModel model) {
this.frameFunction = frameFunction;
this.model = model;
}
public FindmaxFrameParams analyze() {
FindmaxFrameParams frameParams = new FindmaxFrameParams(model, null);
// while (frameParams != null) {
// applyParams(frameParams,flywheel);
// capture.startWindow();
// capture.awaitSteadyState();
// capture.stopWindow();
// journal.record(frameParams, capture.last());
// stdout.println(capture.last());
// stdout.println("-".repeat(40));
// frameParams = nextStep(journal);
// }
// return journal.bestRun().params();
return null;
}
}
}
@@ -18,26 +18,78 @@ package io.nosqlbench.scenarios.simframe.optimizers.findmax;
import io.nosqlbench.engine.core.lifecycle.scenario.container.NBCommandParams;
public record FindmaxConfig(
double sample_time_ms,
double sample_max,
double sample_incr,
double rate_base,
double rate_step,
double rate_incr,
double average_of,
double min_settling_ms
) {
public class FindmaxConfig {
private double sample_time_ms;
private double sample_max;
private double rate_base;
private double rate_step;
private double rate_incr;
private double sample_incr;
private long min_settling_ms;
public double sample_time_ms() {
return sample_time_ms;
}
public double sample_max() {
return sample_max;
}
public double rate_base() {
return rate_base;
}
public double rate_step() {
return rate_step;
}
public double rate_incr() {
return rate_incr;
}
public double sample_incr() {
return sample_incr;
}
public long min_settling_ms() {
return min_settling_ms;
}
public void setSample_time_ms(double sample_time_ms) {
this.sample_time_ms = sample_time_ms;
}
public void setSample_max(double sample_max) {
this.sample_max = sample_max;
}
public void setRate_base(double rate_base) {
this.rate_base = rate_base;
}
public void setRate_step(double rate_step) {
this.rate_step = rate_step;
}
public void setSample_incr(double sample_incr) {
this.sample_incr = sample_incr;
}
public void setRate_incr(double rate_incr) {
this.rate_incr = rate_incr;
}
public void setMin_settling_ms(long min_settling_ms) {
this.min_settling_ms = min_settling_ms;
}
public FindmaxConfig(NBCommandParams params) {
this(
params.maybeGet("sample_time_ms").map(Double::parseDouble).orElse(4000d),
params.maybeGet("sample_max").map(Double::parseDouble).orElse(10000d),
params.maybeGet("sample_incr").map(Double::parseDouble).orElse(1.2d),
params.maybeGet("rate_base").map(Double::parseDouble).orElse(0d),
params.maybeGet("rate_step").map(Double::parseDouble).orElse(100d),
params.maybeGet("rate_incr").map(Double::parseDouble).orElse(2d),
params.maybeGet("average_of").map(Double::parseDouble).orElse(2d),
params.maybeGet("min_settling_ms").map(Double::parseDouble).orElse(4000d)
);
params.maybeGet("sample_time_ms").map(Double::parseDouble).orElse(4000d);
params.maybeGet("sample_max").map(Double::parseDouble).orElse(10000d);
params.maybeGet("rate_base").map(Double::parseDouble).orElse(10d);
params.maybeGet("rate_step").map(Double::parseDouble).orElse(100d);
params.maybeGet("rate_incr").map(Double::parseDouble).orElse(2d);
params.maybeGet("sample_incr").map(Double::parseDouble).orElse(1.2d);
params.maybeGet("min_settling_ms").map(Long::parseLong).orElse(4000L);
}
}
@@ -19,12 +19,17 @@ package io.nosqlbench.scenarios.simframe.optimizers.findmax;
import io.nosqlbench.engine.api.activityapi.core.Activity;
import io.nosqlbench.engine.api.activityapi.core.RunState;
import io.nosqlbench.engine.core.lifecycle.scenario.container.ContainerActivitiesController;
import io.nosqlbench.scenarios.simframe.capture.JournalView;
import io.nosqlbench.scenarios.simframe.capture.SimFrameCapture;
import io.nosqlbench.scenarios.simframe.capture.SimFrameJournal;
import io.nosqlbench.scenarios.simframe.planning.HoldAndSample;
import io.nosqlbench.scenarios.simframe.planning.SimFrame;
import io.nosqlbench.scenarios.simframe.planning.SimFrameFunction;
import java.io.PrintWriter;
import java.util.Comparator;
import static io.nosqlbench.virtdata.core.bindings.VirtDataLibrary.logger;
public class FindmaxFrameFunction implements SimFrameFunction {
@@ -71,4 +76,47 @@ public class FindmaxFrameFunction implements SimFrameFunction {
}
return journal.last().value();
}
public double nextStep() {
double newRate = 0.0d;
SimFrame<FindmaxFrameParams> last = journal.last();
SimFrame<FindmaxFrameParams> best = journal.bestRun();
if (best.index() == last.index()) { // got better consecutively
newRate = last.params().paramValues()[0] + settings.rate_step();
settings.setRate_step(settings.rate_step() * settings.rate_incr());
} else if (best.index() == last.index() - 1) {
// got worse consecutively, this may be collapsed out since the general case below covers it (test first)
if (((last.params().paramValues()[0] + settings.rate_step()) -
(best.params().paramValues()[0] + settings.rate_step())) <= settings.rate_step()) {
logger.info("could not divide search space further, stop condition met");
return 0;
} else {
newRate = best.params().paramValues()[0] + settings.rate_step();
settings.setSample_time_ms(settings.sample_time_ms() * settings.sample_incr());
settings.setMin_settling_ms(settings.min_settling_ms() * 4);
}
} else { // any other case
// find next frame with higher rate but lower value, the closest one by rate
SimFrame<FindmaxFrameParams> nextWorseFrameWithHigherRate = journal.frames().stream()
.filter(f -> f.value() < best.value())
.filter(f -> f.params().paramValues()[0] + settings.rate_step() > (best.params().paramValues()[0] + settings.rate_step()))
.min(Comparator.comparingDouble(f -> f.params().paramValues()[0] + settings.rate_step()))
.orElseThrow(() -> new RuntimeException("inconsistent samples"));
if ((nextWorseFrameWithHigherRate.params().paramValues()[0] + settings.rate_step() -
best.params().paramValues()[0] + settings.rate_step()) > settings.rate_step()) {
newRate = best.params().paramValues()[0] + settings.rate_step();
settings.setSample_time_ms(settings.sample_time_ms() * settings.sample_incr());
settings.setMin_settling_ms(settings.min_settling_ms() * 2);
} else {
logger.info("could not divide search space further, stop condition met");
return 0.0d;
}
}
double[] point = {newRate};
return value(point);
}
public SimFrameJournal<FindmaxFrameParams> journal() {
return journal;
}
}