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change AkkaStateQuery util to query periodically with a timestamp
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@@ -22,3 +22,6 @@ storm.ackers: 2 | |
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#Spark Specific | ||
spark.batchtime: 2000 | ||
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#Flink specific | ||
group.id: "someString" |
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152 changes: 152 additions & 0 deletions
152
flink-benchmarks/src/main/java/flink/benchmark/utils/AnalyzeTool.java
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@@ -0,0 +1,152 @@ | ||
package flink.benchmark.utils; | ||
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import org.apache.commons.math3.stat.descriptive.DescriptiveStatistics; | ||
import org.apache.commons.math3.stat.descriptive.SummaryStatistics; | ||
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import java.io.File; | ||
import java.io.FileNotFoundException; | ||
import java.util.ArrayList; | ||
import java.util.Collections; | ||
import java.util.Comparator; | ||
import java.util.HashMap; | ||
import java.util.List; | ||
import java.util.Map; | ||
import java.util.Scanner; | ||
import java.util.regex.Matcher; | ||
import java.util.regex.Pattern; | ||
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public class AnalyzeTool { | ||
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public static class Result { | ||
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DescriptiveStatistics latencies; | ||
SummaryStatistics throughputs; | ||
Map<String, DescriptiveStatistics> perHostLat; | ||
Map<String, SummaryStatistics> perHostThr; | ||
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public Result(DescriptiveStatistics latencies, SummaryStatistics throughputs, Map<String, DescriptiveStatistics> perHostLat, Map<String, SummaryStatistics> perHostThr) { | ||
this.latencies = latencies; | ||
this.throughputs = throughputs; | ||
this.perHostLat = perHostLat; | ||
this.perHostThr = perHostThr; | ||
} | ||
} | ||
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public static Result analyze(String file, List<String> toIgnore) throws FileNotFoundException { | ||
Scanner sc = new Scanner(new File(file)); | ||
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String l; | ||
Pattern latencyPattern = Pattern.compile(".*Latency ([0-9]+) ms.*"); | ||
Pattern throughputPattern = Pattern.compile(".*That's ([0-9.]+) elements\\/second\\/core.*"); | ||
Pattern hostPattern = Pattern.compile("Container: .* on (.+).c.astral-sorter-757..*"); | ||
Pattern stormHostPattern = Pattern.compile(".*Client environment:host.name=(.+).c.astral-sorter-757..*"); | ||
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DescriptiveStatistics latencies = new DescriptiveStatistics(); | ||
SummaryStatistics throughputs = new SummaryStatistics(); | ||
String currentHost = null; | ||
Map<String, DescriptiveStatistics> perHostLat = new HashMap<String, DescriptiveStatistics>(); | ||
Map<String, SummaryStatistics> perHostThr = new HashMap<String, SummaryStatistics>(); | ||
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while( sc.hasNextLine()) { | ||
l = sc.nextLine(); | ||
// ---------- host --------------- | ||
Matcher hostMatcher = hostPattern.matcher(l); | ||
if(hostMatcher.matches()) { | ||
currentHost = hostMatcher.group(1); | ||
System.err.println("Setting host to "+currentHost); | ||
} | ||
Matcher stormHostMatcher = stormHostPattern.matcher(l); | ||
if(stormHostMatcher.matches()) { | ||
currentHost = stormHostMatcher.group(1); | ||
System.err.println("Setting host to "+currentHost+ " (storm)"); | ||
} | ||
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if(toIgnore != null && toIgnore.contains(currentHost)) continue; | ||
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// ---------- latency --------------- | ||
Matcher latencyMatcher = latencyPattern.matcher(l); | ||
if(latencyMatcher.matches()) { | ||
int latency = Integer.valueOf(latencyMatcher.group(1)); | ||
latencies.addValue(latency); | ||
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DescriptiveStatistics perHost = perHostLat.get(currentHost); | ||
if(perHost == null) { | ||
perHost = new DescriptiveStatistics(); | ||
perHostLat.put(currentHost, perHost); | ||
} | ||
perHost.addValue(latency); | ||
} | ||
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// ---------- throughput --------------- | ||
Matcher tpMatcher = throughputPattern.matcher(l); | ||
if(tpMatcher.matches()) { | ||
double eps = Double.valueOf(tpMatcher.group(1)); | ||
throughputs.addValue(eps); | ||
// System.out.println("epts = "+eps); | ||
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SummaryStatistics perHost = perHostThr.get(currentHost); | ||
if(perHost == null) { | ||
perHost = new SummaryStatistics(); | ||
perHostThr.put(currentHost, perHost); | ||
} | ||
perHost.addValue(eps); | ||
} | ||
} | ||
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return new Result(latencies, throughputs, perHostLat, perHostThr); | ||
} | ||
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public static void main(String[] args) throws FileNotFoundException { | ||
Result r1 = analyze(args[0], null); | ||
DescriptiveStatistics latencies = r1.latencies; | ||
SummaryStatistics throughputs = r1.throughputs; | ||
// System.out.println("lat-mean;lat-median;lat-90percentile;lat-95percentile;lat-99percentile;throughput-mean;throughput-max;latencies;throughputs;"); | ||
System.out.println("all-machines;" + latencies.getMean() + ";" + latencies.getPercentile(50) + ";" + latencies.getPercentile(90) + ";" + latencies.getPercentile(95) + ";" + latencies.getPercentile(99)+ ";" + throughputs.getMean() + ";" + throughputs.getMax() + ";" + latencies.getN() + ";" + throughputs.getN()); | ||
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System.err.println("================= Latency (" + r1.perHostLat.size() + " reports ) ====================="); | ||
List<Map.Entry<String, DescriptiveStatistics>> orderedPerHostLatency = new ArrayList<Map.Entry<String, DescriptiveStatistics>>(); | ||
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for(Map.Entry<String, DescriptiveStatistics> entry : r1.perHostLat.entrySet()) { | ||
System.err.println("====== "+entry.getKey()+" (entries: "+entry.getValue().getN()+") ======="); | ||
System.err.println("Mean latency " + entry.getValue().getMean()); | ||
System.err.println("Median latency " + entry.getValue().getPercentile(50)); | ||
orderedPerHostLatency.add(entry); | ||
} | ||
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System.err.println("================= Throughput ("+r1.perHostThr.size()+" reports ) ====================="); | ||
for(Map.Entry<String, SummaryStatistics> entry : r1.perHostThr.entrySet()) { | ||
System.err.println("====== "+entry.getKey()+" (entries: "+entry.getValue().getN()+")======="); | ||
System.err.println("Mean throughput " + entry.getValue().getMean()); | ||
} | ||
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Collections.sort(orderedPerHostLatency, new Comparator<Map.Entry<String, DescriptiveStatistics>>() { | ||
@Override | ||
public int compare(Map.Entry<String, DescriptiveStatistics> o1, Map.Entry<String, DescriptiveStatistics> o2) { | ||
if (o1.getValue().getMean() < o2.getValue().getMean()) { | ||
return 1; | ||
} else { | ||
return -1; | ||
} | ||
} | ||
}); | ||
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List<Map.Entry<String, DescriptiveStatistics>> statsToIgnore = orderedPerHostLatency.subList(0, 2); | ||
List<String> toIgnore = new ArrayList<String>(); | ||
System.err.println("============= HOSTS TO IGNORE (num: "+statsToIgnore.size()+") ============== "); | ||
for(Map.Entry<String, DescriptiveStatistics> entry : statsToIgnore) { | ||
System.err.println("====== "+entry.getKey()+" (entries: "+entry.getValue().getN()+") ======="); | ||
System.err.println("Mean latency " + entry.getValue().getMean()); | ||
System.err.println("Median latency " + entry.getValue().getPercentile(50)); | ||
toIgnore.add(entry.getKey()); | ||
} | ||
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Result finalResult = analyze(args[0], toIgnore); | ||
latencies = finalResult.latencies; | ||
throughputs = finalResult.throughputs; | ||
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System.out.println("-2-machines;" + latencies.getMean() + ";" + latencies.getPercentile(50) + ";" + latencies.getPercentile(90) + ";" + latencies.getPercentile(95) + ";" + latencies.getPercentile(99)+ ";" + throughputs.getMean() + ";" + throughputs.getMax() + ";" + latencies.getN() + ";" + throughputs.getN()); | ||
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} | ||
} |
2 changes: 1 addition & 1 deletion
2
.../src/main/java/flink/benchmark/Utils.java → ...ain/java/flink/benchmark/utils/Utils.java
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@@ -1,4 +1,4 @@ | ||
package flink.benchmark; | ||
package flink.benchmark.utils; | ||
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import java.util.List; | ||
import java.util.Map; | ||
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