HDFS-9153. Pretty-format the output for DFSIO. Contributed by Kai Zheng.
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@ -1668,6 +1668,8 @@ Release 2.8.0 - UNRELEASED
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HDFS-9402. Switch DataNode.LOG to use slf4j. (Walter Su via wheat9)
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HDFS-9402. Switch DataNode.LOG to use slf4j. (Walter Su via wheat9)
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HDFS-9153. Pretty-format the output for DFSIO. (Kai Zheng via wheat9)
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OPTIMIZATIONS
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OPTIMIZATIONS
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HDFS-8026. Trace FSOutputSummer#writeChecksumChunks rather than
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HDFS-8026. Trace FSOutputSummer#writeChecksumChunks rather than
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@ -28,6 +28,7 @@ import java.io.InputStream;
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import java.io.InputStreamReader;
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import java.io.InputStreamReader;
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import java.io.OutputStream;
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import java.io.OutputStream;
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import java.io.PrintStream;
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import java.io.PrintStream;
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import java.text.DecimalFormat;
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import java.util.Date;
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import java.util.Date;
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import java.util.Random;
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import java.util.Random;
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import java.util.StringTokenizer;
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import java.util.StringTokenizer;
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@ -904,15 +905,17 @@ public class TestDFSIO implements Tool {
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double med = rate / 1000 / tasks;
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double med = rate / 1000 / tasks;
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double stdDev = Math.sqrt(Math.abs(sqrate / 1000 / tasks - med*med));
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double stdDev = Math.sqrt(Math.abs(sqrate / 1000 / tasks - med*med));
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DecimalFormat df = new DecimalFormat("#.##");
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String resultLines[] = {
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String resultLines[] = {
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"----- TestDFSIO ----- : " + testType,
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"----- TestDFSIO ----- : " + testType,
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" Date & time: " + new Date(System.currentTimeMillis()),
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" Date & time: " + new Date(System.currentTimeMillis()),
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" Number of files: " + tasks,
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" Number of files: " + tasks,
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"Total MBytes processed: " + toMB(size),
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" Total MBytes processed: " + df.format(toMB(size)),
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" Throughput mb/sec: " + size * 1000.0 / (time * MEGA),
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" Throughput mb/sec: " + df.format(size * 1000.0 / (time * MEGA)),
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"Average IO rate mb/sec: " + med,
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"Total Throughput mb/sec: " + df.format(toMB(size) / ((float)execTime)),
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" IO rate std deviation: " + stdDev,
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" Average IO rate mb/sec: " + df.format(med),
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" Test exec time sec: " + (float)execTime / 1000,
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" IO rate std deviation: " + df.format(stdDev),
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" Test exec time sec: " + df.format((float)execTime / 1000),
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"" };
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"" };
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PrintStream res = null;
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PrintStream res = null;
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