mirror of
https://github.com/nosqlbench/nosqlbench.git
synced 2025-02-25 18:55:28 -06:00
cleanups and minor docs
This commit is contained in:
Jonathan Shook
parent
aaf58984d6
commit
921c6e17e3
@ -35,7 +35,7 @@ public class ProcessInvoker {
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/**
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* Run the process with a specified timeout and alias.
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*
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* @param alias the name of the process for logging and result gathering
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* @param alias the name of the process for logging and samples gathering
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* @param timeoutSeconds the number of seconds to wait for the process to return
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* @param cmdline the command line
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* @return a ProcessResult
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@ -39,7 +39,7 @@ public class ProcessResult {
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public String toString() {
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StringBuilder sb = new StringBuilder();
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sb.append(String.format("--- process result\nstatus:%d", exitStatus));
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sb.append(String.format("--- process samples\nstatus:%d", exitStatus));
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sb.append(String.format(" time:%.3fs", (durationNanos/1000000000.0)));
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sb.append(String.format(" dir:%s",cmdDir));
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sb.append("\n--- stdout:\n");
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@ -131,8 +131,8 @@ public class WorkloadContainerVerifications {
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// try (CqlSession session = CqlSession.builder().addContactPoint(new InetSocketAddress(hostIP, mappedPort9042)).withLocalDatacenter(datacenter).build()) {
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// //->Check for the creation of the keyspace baselines
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// logger.info("Checking for the creation of the keyspace \"baselines\"...");
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// ResultSet result = session.execute("SELECT keyspace_name FROM system_schema.keyspaces");
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// List<Row> rows = result.all();
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// ResultSet samples = session.execute("SELECT keyspace_name FROM system_schema.keyspaces");
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// List<Row> rows = samples.all();
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// boolean keyspaceFound = false;
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// for (Row row : rows) {
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// if (row.getString("keyspace_name").equals("baselines")) {
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@ -145,8 +145,8 @@ public class WorkloadContainerVerifications {
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//
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// //->Check for the creation of the baselines keyvalue table
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// logger.info("Checking for the creation of the table \"baselines.keyvalue\"...");
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// result = session.execute("SELECT table_name FROM system_schema.tables WHERE keyspace_name='baselines'");
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// rows = result.all();
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// samples = session.execute("SELECT table_name FROM system_schema.tables WHERE keyspace_name='baselines'");
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// rows = samples.all();
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// boolean tableFound = false;
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// for (Row row : rows) {
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// if (row.getString("table_name").equals("keyvalue")) {
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@ -147,7 +147,7 @@ public class DirectRuntimeScenarioTests {
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public void test_SC_extension_example() {
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NBScenario scenario = new SC_extension_example(testC,"test_SC_extension_example");
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ScenarioResult result = scenario.apply(NBSceneBuffer.traced(scenario));
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// result.exitWithCode();
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// samples.exitWithCode();
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assertThat(result.getIOLog()).contains("3+5=8");
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}
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@Disabled("enable before merge")
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@ -44,16 +44,16 @@ public class SC_optimo_test extends SCBaseScenario {
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* var a = 0.0 + values.pa;
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* var b = 0.0 + values.pb;
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*
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* var result = 1000000 - ((Math.abs(100 - a) + Math.abs(100 - b)));
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* print("a=" + a + ",b=" + b + ", r=" + result);
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* return result;
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* var samples = 1000000 - ((Math.abs(100 - a) + Math.abs(100 - b)));
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* print("a=" + a + ",b=" + b + ", r=" + samples);
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* return samples;
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* }
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* );
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*
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* var result = optimo.optimize();
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* var samples = optimo.optimize();
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*
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* print("optimized result was " + result);
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* print("map of result was " + result.getMap());
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* print("optimized samples was " + samples);
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* print("map of samples was " + samples.getMap());
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* }</pre>
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*/
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@Override
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@ -72,7 +72,7 @@ public class SC_optimo_test extends SCBaseScenario {
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};
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bobby.setObjectiveFunction(f);
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MVResult result = bobby.optimize();
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stdout.println("optimized result was " + result);
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stdout.println("map of result was " + result.getMap());
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stdout.println("optimized samples was " + result);
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stdout.println("map of samples was " + result.getMap());
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}
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}
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@ -129,7 +129,7 @@ public class ScriptExampleTests {
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ScenarioResult scenarioResult = runScenario("optimo");
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String iolog = scenarioResult.getIOLog();
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System.out.println("iolog\n" + iolog);
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assertThat(iolog).contains("map of result was");
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assertThat(iolog).contains("map of samples was");
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}
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@Disabled
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@ -81,7 +81,7 @@ public class SC_optimo extends SCBaseScenario {
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/**
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* <P>This function is the objective function, and is responsible for applying
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* the parameters and yielding a result. The higher the returned result, the
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* the parameters and yielding a samples. The higher the returned samples, the
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* better the parameters are.</P>
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* <P>The parameter values will be passed in as an array, pair-wise with the param calls above.</P>
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*/
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@ -148,12 +148,12 @@ public class SC_optimo extends SCBaseScenario {
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MVResult result = bobby.optimize();
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controller.stop(flywheel);
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stdout.println("optimized result was " + result);
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stdout.println("map of result was " + result.getMap());
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stdout.println("optimized samples was " + result);
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stdout.println("map of samples was " + result.getMap());
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// TODO: controller startAt should not return the activity itself, but a control point, like activityDef
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// TODO: warn user if one of the result params is near or at the range allowed, as there
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// could be a better result if the range is arbitrarily limiting the parameter space.
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// TODO: warn user if one of the samples params is near or at the range allowed, as there
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// could be a better samples if the range is arbitrarily limiting the parameter space.
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}
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}
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@ -18,7 +18,10 @@ package io.nosqlbench.scenarios.findmax;
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import java.util.Arrays;
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public class DoubleMap {
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/**
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* Provide named doubles without resorting to Map and boxing shenanigans.
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*/
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public class BasisValues {
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private double[] values = new double[0];
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private String[] names = new String[0];
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@ -19,10 +19,21 @@ package io.nosqlbench.scenarios.findmax;
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import java.util.function.DoubleSupplier;
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import java.util.function.ToDoubleFunction;
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/**
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* A criterion is a single component factor of a value for a black-box testing samples.
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*
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* @param name name of the factor
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* @param evaltype Whether to compute the basis value as a deltaV/deltaT,
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* a raw value, or a functional remix of the other values.
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* @param remix A remix function, required for {@link EvalType#remix}
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* @param supplier A value supplier, required for {@link EvalType#direct} and {@link EvalType#deltaT}
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* @param weight A weight which affects how the basis value is applied as a factor to composite value. Set this to NaN to nullify effects.
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* @param frameStartCallback A runnable which can be used to do preparatory work at the start of sampling a simulation frame
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*/
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public record Criterion(
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String name,
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EvalType evaltype,
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ToDoubleFunction<DoubleMap> remix,
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ToDoubleFunction<BasisValues> remix,
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DoubleSupplier supplier,
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double weight,
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/**
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@ -17,7 +17,18 @@
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package io.nosqlbench.scenarios.findmax;
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public enum EvalType {
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/**
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* A basis value is read from a supplier directly at the end of a simulation frame with no additional computation.
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*/
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direct,
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/**
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* At the beginning of a simulation frame, starting basis values and starting frame times are recorded. At the end
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* of that simulation frame, ending basis values and ending time are record. The basis value is computed as
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* ΔV/ΔT.
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*/
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deltaT,
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/**
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* At the end of a simulation frame, any remix values are computed as a function over any previous defined basis values.
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*/
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remix
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}
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@ -18,6 +18,10 @@ package io.nosqlbench.scenarios.findmax;
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import io.nosqlbench.engine.core.lifecycle.scenario.context.ScenarioParams;
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/**
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* These search parameters are based on the original findmax algorithm, and
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* should be reduced down to the minimum set needed.
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*/
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public record FindmaxSearchParams(
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int sample_time_ms,
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int sample_max,
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@ -16,6 +16,9 @@
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package io.nosqlbench.scenarios.findmax;
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/**
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* A frame sample is responsible for capturing the data associated with a criterion.
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*/
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public record FrameSample(
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Criterion criterion,
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int index,
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@ -23,22 +26,22 @@ public record FrameSample(
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long endAt,
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double startval,
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double endval,
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double calculated,
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DoubleMap vars
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double basis,
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BasisValues vars
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) {
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public FrameSample {
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vars.put(criterion.name(), calculated);
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vars.put(criterion.name(), basis);
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}
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public double weightedValue() {
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if (Double.isNaN(criterion.weight())) {
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return 1.0d;
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} else {
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return calculated * criterion().weight();
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return basis * criterion().weight();
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}
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}
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private double calculatedValue() {
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private double calculateBasis() {
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return switch (criterion.evaltype()) {
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case direct -> endval;
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case deltaT -> (endval - startval) / seconds();
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@ -50,7 +53,7 @@ public record FrameSample(
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return ((double) (endAt - startAt)) / 1000d;
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}
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public static FrameSample init(Criterion criterion, int index, DoubleMap vars) {
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public static FrameSample init(Criterion criterion, int index, BasisValues vars) {
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return new FrameSample(criterion, index, 0, 0, Double.NaN, Double.NaN, Double.NaN, vars);
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}
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@ -67,8 +70,11 @@ public record FrameSample(
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return complete;
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}
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/**
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* Take a frame sample which is fully populated with measured values and convert it into one with a computed basis value.
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*/
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private FrameSample tally() {
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return new FrameSample(criterion, index, startAt, endAt, startval, endval, calculatedValue(), vars);
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return new FrameSample(criterion, index, startAt, endAt, startval, endval, calculateBasis(), vars);
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}
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@Override
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@ -80,13 +86,13 @@ public record FrameSample(
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index,
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// seconds(),
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// deltaV(),
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calculated,
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basis,
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weightedValue(),
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(Double.isNaN(criterion.weight()) ? " [NEUTRAL WEIGHT]" : "")
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);
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}
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private double deltaV() {
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return endval - startval;
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}
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// private double deltaV() {
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// return endval - startval;
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// }
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}
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@ -19,6 +19,9 @@ package io.nosqlbench.scenarios.findmax;
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import java.util.ArrayList;
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import java.util.List;
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/**
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* A bundle of frame samples
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*/
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public class FrameSampleSet extends ArrayList<FrameSample> {
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public FrameSampleSet(List<FrameSample> samples) {
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super(samples);
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@ -18,12 +18,14 @@ package io.nosqlbench.scenarios.findmax;
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import java.util.List;
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/**
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* Provide an observer-only view of a simulation journal
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*/
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public interface JournalView {
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List<SimFrame> frames();
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SimFrame last();
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SimFrame beforeLast();
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SimFrame bestRun();
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SimFrame before(SimFrame frame);
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SimFrame after(SimFrame frame);
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}
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@ -31,19 +31,24 @@ import java.util.HashMap;
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import java.util.Map;
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/**
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* <PRE>{@code
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* Performing FindMax analysis with the following parameters:
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* Scale sample window between %d and %d\n",sample_time_ms,sample_max
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* increasing by %.3fX on each rejected iteration.\n", sample_incr
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* Set target rate to %d + %d * ( %d ^iter) \n", rate_base, rate_step, rate_incr
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* for each iteration accepted in a row.\n"
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* Schedule %s operations at a time per thread.\n", min_stride
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* Report the average result of running the findmax search algorithm %d times.\n",averageof
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* Reject iterations which fail to achieve %2.0f%% of the target rate.\n", testrate_cutoff * 100
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* Reject iterations which fail to achieve %2.0f%% of the best rate.\n", bestrate_cutoff * 100
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* Reject iterations which fail to achieve better than %dms response\n", latency_cutoff
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* at percentile p%f\n", latency_pctile * 100
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* }</PRE>
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* <P>This is the Java-native version of findmax on the NB5.21 architecture. It has been modified from the
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* previous form in significant ways.</P>
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* <UL>
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* <LI>Instead of pass/fail criteria all performance factors are expressed as a value function.
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* This will make it easy to adapt different search algorithms (in the form of non-derivative multivariate optimizers)
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* to the same approach.</LI>
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* <LI>A set of simulation frame utilities bundles the derivation of black-box values. These will be used to refine
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* findmax, but will
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* be general-purposed for any other analysis and optimization method as needed.
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* </LI>
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* <LI>The search strategy which determines the parameters for the next simulation frame has been factored out into a
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* planner.</LI>
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* </UL>
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*
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* <P>There is an accompanying visual narrative "findmax.png" bundled with this source code to help explain
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* the search pattern of findmax. Additional docs and a usage guide will follow.</P>
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*
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* <P>This can be tested as <PRE>{@code nb5 --show-stacktraces java io.nosqlbench.scenarios.findmax.SC_findmax threads=36}</PRE></P>
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*/
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public class SC_findmax extends SCBaseScenario {
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private final static Logger logger = LogManager.getLogger(SC_findmax.class);
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@ -60,7 +65,7 @@ public class SC_findmax extends SCBaseScenario {
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Map<String, String> activityParams = new HashMap<>(Map.of(
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"cycles", String.valueOf(Long.MAX_VALUE),
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"threads", params.getOrDefault("threads","1"),
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"threads", params.getOrDefault("threads", "1"),
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"driver", "diag",
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"rate", String.valueOf(ratespec.opsPerSec),
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"dryrun", "op"
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@ -80,7 +85,7 @@ public class SC_findmax extends SCBaseScenario {
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Activity flywheel = controller.start(activityParams);
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SimFrameCapture capture = this.perfValueMeasures(flywheel, 0.99, 50);
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SimFrameCapture capture = this.perfValueMeasures(flywheel);
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SimFramePlanner planner = new SimFramePlanner(findmaxSettings);
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SimFrameJournal journal = new SimFrameJournal();
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@ -102,7 +107,7 @@ public class SC_findmax extends SCBaseScenario {
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// could be a better result if the range is arbitrarily limiting the parameter space.
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}
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private SimFrameCapture perfValueMeasures(Activity activity, double fractional_quantile, double cutoff_ms) {
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private SimFrameCapture perfValueMeasures(Activity activity) {
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SimFrameCapture sampler = new SimFrameCapture();
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NBMetricTimer result_timer = activity.find().timer("name:result");
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@ -116,12 +121,12 @@ public class SC_findmax extends SCBaseScenario {
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sampler.addRemix("achieved_success_ratio", vars -> {
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// exponentially penalize results which do not attain 100% successful op rate
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double basis = Math.min(1.0d, vars.get("achieved_ok_oprate") / vars.get("achieved_oprate"));
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return Math.pow(basis,3);
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return Math.pow(basis, 3);
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});
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sampler.addRemix("achieved_target_ratio", (vars) -> {
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// exponentially penalize results which do not attain 100% target rate
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double basis = Math.min(1.0d, vars.get("achieved_ok_oprate") / vars.get("target_rate"));
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return Math.pow(basis,3);
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return Math.pow(basis, 3);
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});
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// TODO: add response time with a sigmoid style threshold at fractional_quantile and cutoff_ms
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@ -152,11 +157,4 @@ public class SC_findmax extends SCBaseScenario {
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return sampler;
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}
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private final static record RunParams(
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int sample_seconds,
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double target_rate
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) {
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}
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}
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@ -17,16 +17,16 @@
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package io.nosqlbench.scenarios.findmax;
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/**
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* Capture the control inputs as well as the result of a sample period of a simulated workload.
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* Capture the control inputs as well as the samples of a sample period of a simulated workload.
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* @param params The parameters which control the simulated workload during the sample window
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* @param result The measured result, including key metrics and criteria for the sample window
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* @param samples The measured samples, including key metrics and criteria for the sample window
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*/
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public record SimFrame(SimFrameParams params, FrameSampleSet result) {
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public record SimFrame(SimFrameParams params, FrameSampleSet samples) {
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public double value() {
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return result().value();
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return samples().value();
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}
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public int index() {
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return result.index();
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return samples.index();
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}
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@ -49,7 +49,7 @@ public class SimFrameCapture implements SimFrameResults {
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* coefficient of weight for this measure
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* @param callback
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*/
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private void add(String name, EvalType type, ToDoubleFunction<DoubleMap> remix, DoubleSupplier supplier, double weight, Runnable callback) {
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private void add(String name, EvalType type, ToDoubleFunction<BasisValues> remix, DoubleSupplier supplier, double weight, Runnable callback) {
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this.criteria.add(new Criterion(name, type, remix, supplier, weight, callback==null? () -> {} : callback));
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}
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@ -98,15 +98,15 @@ public class SimFrameCapture implements SimFrameResults {
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* @param remix
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* A function which relies on previously computed raw values.
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* @param weight
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* The weight to apply to the result of this value for the final frame sample value.
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* The weight to apply to the samples of this value for the final frame sample value.
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* @param callback
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* An optional callback to invoke when the frame starts
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*/
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public void addRemix(String name, ToDoubleFunction<DoubleMap> remix, double weight, Runnable callback) {
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public void addRemix(String name, ToDoubleFunction<BasisValues> remix, double weight, Runnable callback) {
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add(name, EvalType.remix, remix, null, weight, callback);
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}
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public void addRemix(String name, ToDoubleFunction<DoubleMap> remix, double weight) {
|
||||
public void addRemix(String name, ToDoubleFunction<BasisValues> remix, double weight) {
|
||||
add(name, EvalType.remix, remix, null, weight, null);
|
||||
}
|
||||
|
||||
@ -145,7 +145,7 @@ public class SimFrameCapture implements SimFrameResults {
|
||||
throw new RuntimeException("cant start window twice in a row. Must close window first");
|
||||
}
|
||||
int nextidx = this.allFrames.size();
|
||||
DoubleMap vars = new DoubleMap();
|
||||
BasisValues vars = new BasisValues();
|
||||
List<FrameSample> samples = criteria.stream().map(c -> FrameSample.init(c, nextidx, vars).start(now)).toList();
|
||||
this.currentFrame = new FrameSampleSet(samples);
|
||||
// System.out.println("after start:\n"+ frameCaptureSummary(currentFrame));
|
||||
@ -177,7 +177,7 @@ public class SimFrameCapture implements SimFrameResults {
|
||||
return allFrames.getLast();
|
||||
}
|
||||
|
||||
public void addRemix(String name, ToDoubleFunction<DoubleMap> remix) {
|
||||
public void addRemix(String name, ToDoubleFunction<BasisValues> remix) {
|
||||
addRemix(name, remix, 1.0, null);
|
||||
}
|
||||
|
||||
|
||||
@ -21,6 +21,9 @@ import java.util.Collections;
|
||||
import java.util.Comparator;
|
||||
import java.util.List;
|
||||
|
||||
/**
|
||||
* Aggregate usage patterns around capturing and using simulation frame data.
|
||||
*/
|
||||
public class SimFrameJournal extends ArrayList<SimFrame> implements JournalView {
|
||||
public void record(SimFrameParams params, FrameSampleSet samples) {
|
||||
add(new SimFrame(params, samples));
|
||||
|
||||
@ -16,8 +16,14 @@
|
||||
|
||||
package io.nosqlbench.scenarios.findmax;
|
||||
|
||||
/**
|
||||
* These parameters are calculated by the planner based on previous simulation frame history.
|
||||
*/
|
||||
public record SimFrameParams(
|
||||
double rate_shelf, double rate_delta, long sample_time_ms, String description
|
||||
double rate_shelf,
|
||||
double rate_delta,
|
||||
long sample_time_ms,
|
||||
String description
|
||||
) {
|
||||
public double computed_rate() {
|
||||
return rate_shelf+rate_delta;
|
||||
|
||||
@ -31,24 +31,12 @@ public class SimFramePlanner {
|
||||
* Search params which control findmax
|
||||
*/
|
||||
private final FindmaxSearchParams findmax;
|
||||
/**
|
||||
* A history of execution parameters by step
|
||||
*/
|
||||
|
||||
/**
|
||||
* A history of execution results by step
|
||||
*/
|
||||
|
||||
public SimFramePlanner(FindmaxSearchParams findMaxSettings) {
|
||||
this.findmax = findMaxSettings;
|
||||
|
||||
}
|
||||
|
||||
public boolean conditionsMet() {
|
||||
|
||||
return false;
|
||||
}
|
||||
|
||||
public SimFrameParams initialStep() {
|
||||
return new SimFrameParams(
|
||||
this.findmax.rate_base(), this.findmax.rate_step(), this.findmax.sample_time_ms(), "INITIAL"
|
||||
@ -74,7 +62,8 @@ public class SimFramePlanner {
|
||||
last.params().sample_time_ms(),
|
||||
"CONTINUE after improvement from frame " + last.index()
|
||||
);
|
||||
} else if (best.index() == last.index() - 1) { // got worse consecutively
|
||||
} 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().computed_rate() - best.params().computed_rate()) <= findmax.rate_step()) {
|
||||
logger.info("could not divide search space further, stop condition met");
|
||||
return null;
|
||||
@ -86,13 +75,13 @@ public class SimFramePlanner {
|
||||
"REBASE search range to new base after frame " + best.index()
|
||||
);
|
||||
}
|
||||
} else {
|
||||
} else { // any other case
|
||||
// find next frame with higher rate but lower value, the closest one by rate
|
||||
SimFrame nextWorseFrameWithHigherRate = journal.frames().stream()
|
||||
.filter(f -> f.value() < best.value())
|
||||
.filter(f -> f.params().computed_rate() > best.params().computed_rate())
|
||||
.min(Comparator.comparingDouble(f -> f.params().computed_rate()))
|
||||
.orElseThrow(() -> new RuntimeException("inconsistent result"));
|
||||
.orElseThrow(() -> new RuntimeException("inconsistent samples"));
|
||||
if ((nextWorseFrameWithHigherRate.params().computed_rate() - best.params().computed_rate()) > findmax.rate_step()) {
|
||||
return new SimFrameParams(
|
||||
best.params().computed_rate(),
|
||||
@ -101,13 +90,10 @@ public class SimFramePlanner {
|
||||
"REBASE search range from frames " + best.index() + " ➞ " +nextWorseFrameWithHigherRate.index()
|
||||
);
|
||||
} else {
|
||||
logger.info("could not divide search space further, stop condition met");
|
||||
return null;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
private boolean improvedScore(SimFrame before, SimFrame last) {
|
||||
return before.value() < last.value();
|
||||
}
|
||||
|
||||
}
|
||||
|
||||
@ -18,10 +18,11 @@ package io.nosqlbench.scenarios.findmax;
|
||||
|
||||
import java.util.List;
|
||||
|
||||
/**
|
||||
* An observer-only view of results.
|
||||
*/
|
||||
public interface SimFrameResults {
|
||||
List<FrameSampleSet> history();
|
||||
|
||||
double getValue();
|
||||
|
||||
int size();
|
||||
}
|
||||
|
||||
BIN
nbr/src/main/java/io/nosqlbench/scenarios/findmax/findmax.png
Normal file
BIN
nbr/src/main/java/io/nosqlbench/scenarios/findmax/findmax.png
Normal file
Binary file not shown.
|
After Width: | Height: | Size: 80 KiB |
800
nbr/src/main/java/io/nosqlbench/scenarios/findmax/findmax.svg
Normal file
800
nbr/src/main/java/io/nosqlbench/scenarios/findmax/findmax.svg
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After Width: | Height: | Size: 40 KiB |
@ -62,7 +62,7 @@ bindings:
|
||||
# same as long -> NumberNameToString() -> String; String -> ToByteBuffer()
|
||||
string_bb: NumberNameToString(); ToByteBuffer(); ToHexString();
|
||||
|
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# char buffer to byte buffer, another way to get the same result as above
|
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# char buffer to byte buffer, another way to get the same samples as above
|
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# same as
|
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# long -> NumberNameToString() -> String; String -> ToCharBuffer() -> CharBuffer; CharBuffer -> ToByteBuffer() -> ByteBuffer
|
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cb_bb: NumberNameToString(); ToCharBuffer(); ToByteBuffer(); ToHexString();
|
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|
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@ -27,7 +27,7 @@ bindings:
|
||||
# with a source function which provides the initial data. Any
|
||||
# object type is allowed, as the toString() method is used to iteratively
|
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# fill the initial buffer until it is full according to the imgsize
|
||||
# This mode still only provides a single possible result.
|
||||
# This mode still only provides a single possible samples.
|
||||
#
|
||||
# Create a CharBuffer of 100 characters from the names of numbers
|
||||
cb_composed_fixed: CharBufImage(NumberNameToString(),100) # srcfunc, imgsize
|
||||
@ -35,7 +35,7 @@ bindings:
|
||||
# Alternately, you can simply provide a set of printable characters and
|
||||
# ranges from US-ASCII instead of providing a full function. In this mode,
|
||||
# characters are selected from the provided set for the initial fill.
|
||||
# This mode still only provides a single possible result.
|
||||
# This mode still only provides a single possible samples.
|
||||
#
|
||||
# Create a CharBuffer of 100 characters consisting of hexadecimal digits.
|
||||
cb_charsets_fixed: CharBufImage('0-9A-F',100) # srcchars, imgsize
|
||||
|
||||
@ -22,7 +22,7 @@ bindings:
|
||||
# the entry above
|
||||
|
||||
# You can offset the start of your millis to some formatted date.
|
||||
# Notice, that in this case, the result is still in millis since the epoch
|
||||
# Notice, that in this case, the samples is still in millis since the epoch
|
||||
|
||||
randomMillisStartingFeb2018: StartingEpochMillis('2018-02-01 05:00:00');
|
||||
|
||||
|
||||
@ -90,13 +90,13 @@ class ExitStatusIntegrationTests {
|
||||
// public void testCloseErrorHandlerOnSpace() {
|
||||
// ProcessInvoker invoker = new ProcessInvoker();
|
||||
// invoker.setLogDir("logs/test");
|
||||
// ProcessResult result = invoker.run("exitstatus_erroronclose", 30,
|
||||
// ProcessResult samples = invoker.run("exitstatus_erroronclose", 30,
|
||||
// java, "-jar", JARNAME, "--logs-dir", "logs/test/error_on_close", "run",
|
||||
// "driver=diag", "threads=2", "rate=5", "op=noop", "cycles=10", "erroronclose=true", "-vvv"
|
||||
// );
|
||||
// String stdout = String.join("\n", result.getStdoutData());
|
||||
// String stderr = String.join("\n", result.getStderrData());
|
||||
// assertThat(result.exitStatus).isEqualTo(2);
|
||||
// String stdout = String.join("\n", samples.getStdoutData());
|
||||
// String stderr = String.join("\n", samples.getStderrData());
|
||||
// assertThat(samples.exitStatus).isEqualTo(2);
|
||||
// assertThat(stderr).contains("diag space was configured to throw");
|
||||
// }
|
||||
|
||||
|
||||
@ -35,7 +35,7 @@ public class ProcessInvoker {
|
||||
/**
|
||||
* Run the process with a specified timeout and alias.
|
||||
*
|
||||
* @param alias the name of the process for logging and result gathering
|
||||
* @param alias the name of the process for logging and samples gathering
|
||||
* @param timeoutSeconds the number of seconds to wait for the process to return
|
||||
* @param cmdline the command line
|
||||
* @return a ProcessResult
|
||||
|
||||
@ -39,7 +39,7 @@ public class ProcessResult {
|
||||
|
||||
public String toString() {
|
||||
StringBuilder sb = new StringBuilder();
|
||||
sb.append(String.format("--- process result\nstatus:%d", exitStatus));
|
||||
sb.append(String.format("--- process samples\nstatus:%d", exitStatus));
|
||||
sb.append(String.format(" time:%.3fs", (durationNanos/1000000000.0)));
|
||||
sb.append(String.format(" dir:%s",cmdDir));
|
||||
sb.append("\n--- stdout:\n");
|
||||
|
||||
Loading…
Reference in New Issue
Block a user