Package org.apache.hadoop.hbase.util

Examples of org.apache.hadoop.hbase.util.Hash

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    Path inputFile = new Path(inputDir, "input.txt");
    PrintStream out = new PrintStream(fs.create(inputFile));
    // Make input random.
    Map<Integer, String> m = new TreeMap<Integer, String>();
    Hash h = MurmurHash.getInstance();
    int perClientRows = (this.R / this.N);
    try {
      for (int i = 0; i < 10; i++) {
        for (int j = 0; j < N; j++) {
          String s = "tableName=" + this.tableName +
          ", startRow=" + ((j * perClientRows) + (i * (perClientRows/10))) +
          ", perClientRunRows=" + (perClientRows / 10) +
          ", totalRows=" + this.R +
          ", clients=" + this.N +
          ", flushCommits=" + this.flushCommits +
          ", writeToWAL=" + this.writeToWAL;
          int hash = h.hash(Bytes.toBytes(s));
          m.put(hash, s);
        }
      }
      for (Map.Entry<Integer, String> e: m.entrySet()) {
        out.println(e.getValue());
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    fs.mkdirs(subdir);
    Path inputFile = new Path(subdir, "input.txt");
    PrintStream out = new PrintStream(fs.create(inputFile));
    // Make input random.
    Map<Integer, String> m = new TreeMap<Integer, String>();
    Hash h = MurmurHash.getInstance();
    int perClientRows = (this.R / this.N);
    try {
      for (int i = 0; i < 10; i++) {
        for (int j = 0; j < N; j++) {
          String s = "startRow=" + ((j * perClientRows) + (i * (perClientRows/10))) +
          ", perClientRunRows=" + (perClientRows / 10) +
          ", totalRows=" + this.R +
          ", sampleRate=" + this.sampleRate +
          ", clients=" + this.N +
          ", flushCommits=" + this.flushCommits +
          ", writeToWAL=" + this.writeToWAL +
          ", reportLatency=" + this.reportLatency +
          ", filterAll=" + this.filterAll;
          int hash = h.hash(Bytes.toBytes(s));
          m.put(hash, s);
        }
      }
      for (Map.Entry<Integer, String> e: m.entrySet()) {
        out.println(e.getValue());
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    Path inputFile = new Path(inputDir, "input.txt");
    PrintStream out = new PrintStream(fs.create(inputFile));
    // Make input random.
    Map<Integer, String> m = new TreeMap<Integer, String>();
    Hash h = MurmurHash.getInstance();
    int perClientRows = (opts.totalRows / opts.numClientThreads);
    ObjectMapper mapper = new ObjectMapper();
    mapper.configure(SORT_PROPERTIES_ALPHABETICALLY, true);
    try {
      for (int i = 0; i < 10; i++) {
        for (int j = 0; j < opts.numClientThreads; j++) {
          TestOptions next = new TestOptions(opts);
          next.startRow = (j * perClientRows) + (i * (perClientRows/10));
          next.perClientRunRows = perClientRows / 10;
          String s = mapper.writeValueAsString(next);
          int hash = h.hash(Bytes.toBytes(s));
          m.put(hash, s);
        }
      }
      for (Map.Entry<Integer, String> e: m.entrySet()) {
        out.println(e.getValue());
View Full Code Here
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    Path inputFile = new Path(inputDir, "input.txt");
    PrintStream out = new PrintStream(fs.create(inputFile));
    // Make input random.
    Map<Integer, String> m = new TreeMap<Integer, String>();
    Hash h = MurmurHash.getInstance();
    int perClientRows = (this.R / this.N);
    try {
      for (int i = 0; i < 10; i++) {
        for (int j = 0; j < N; j++) {
          String s = "tableName=" + this.tableName +
          ", startRow=" + ((j * perClientRows) + (i * (perClientRows/10))) +
          ", perClientRunRows=" + (perClientRows / 10) +
          ", totalRows=" + this.R +
          ", sampleRate=" + this.sampleRate +
          ", clients=" + this.N +
          ", flushCommits=" + this.flushCommits +
          ", writeToWAL=" + this.writeToWAL +
          ", useTags=" + this.useTags +
          ", noOfTags=" + this.noOfTags +
          ", reportLatency=" + this.reportLatency;
          int hash = h.hash(Bytes.toBytes(s));
          m.put(hash, s);
        }
      }
      for (Map.Entry<Integer, String> e: m.entrySet()) {
        out.println(e.getValue());
View Full Code Here
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    fs.mkdirs(subdir);
    Path inputFile = new Path(subdir, "input.txt");
    PrintStream out = new PrintStream(fs.create(inputFile));
    // Make input random.
    Map<Integer, String> m = new TreeMap<Integer, String>();
    Hash h = MurmurHash.getInstance();
    int perClientRows = (this.R / this.N);
    try {
      for (int i = 0; i < 10; i++) {
        for (int j = 0; j < N; j++) {
          String s = "startRow=" + ((j * perClientRows) + (i * (perClientRows/10))) +
          ", perClientRunRows=" + (perClientRows / 10) +
          ", totalRows=" + this.R +
          ", clients=" + this.N;
          int hash = h.hash(Bytes.toBytes(s));
          m.put(hash, s);
        }
      }
      for (Map.Entry<Integer, String> e: m.entrySet()) {
        out.println(e.getValue());
View Full Code Here
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    fs.mkdirs(subdir);
    Path inputFile = new Path(subdir, "input.txt");
    PrintStream out = new PrintStream(fs.create(inputFile));
    // Make input random.
    Map<Integer, String> m = new TreeMap<Integer, String>();
    Hash h = MurmurHash.getInstance();
    int perClientRows = (this.R / this.N);
    try {
      for (int i = 0; i < 10; i++) {
        for (int j = 0; j < N; j++) {
          String s = "startRow=" + ((j * perClientRows) + (i * (perClientRows/10))) +
          ", perClientRunRows=" + (perClientRows / 10) +
          ", totalRows=" + this.R +
          ", sampleRate=" + this.sampleRate +
          ", clients=" + this.N +
          ", flushCommits=" + this.flushCommits +
          ", writeToWAL=" + this.writeToWAL +
          ", reportLatency=" + this.reportLatency;
          int hash = h.hash(Bytes.toBytes(s));
          m.put(hash, s);
        }
      }
      for (Map.Entry<Integer, String> e: m.entrySet()) {
        out.println(e.getValue());
View Full Code Here
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    fs.mkdirs(subdir);
    Path inputFile = new Path(subdir, "input.txt");
    PrintStream out = new PrintStream(fs.create(inputFile));
    // Make input random.
    Map<Integer, String> m = new TreeMap<Integer, String>();
    Hash h = MurmurHash.getInstance();
    int perClientRows = (R / N);
    try {
      for (int i = 0; i < 10; i++) {
        for (int j = 0; j < N; j++) {
          String s = "startRow=" + ((j * perClientRows) + (i * (perClientRows/10))) +
          ", perClientRunRows=" + (perClientRows / 10) +
          ", totalRows=" + R +
          ", clients=" + N +
          ", rowsPerPut=" + B;
          int hash = h.hash(Bytes.toBytes(s));
          m.put(hash, s);
        }
      }
      for (Map.Entry<Integer, String> e: m.entrySet()) {
        out.println(e.getValue());
View Full Code Here
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    fs.mkdirs(subdir);
    Path inputFile = new Path(subdir, "input.txt");
    PrintStream out = new PrintStream(fs.create(inputFile));
    // Make input random.
    Map<Integer, String> m = new TreeMap<Integer, String>();
    Hash h = MurmurHash.getInstance();
    int perClientRows = (this.R / this.N);
    try {
      for (int i = 0; i < 10; i++) {
        for (int j = 0; j < N; j++) {
          String s = "startRow=" + ((j * perClientRows) + (i * (perClientRows/10))) +
          ", perClientRunRows=" + (perClientRows / 10) +
          ", totalRows=" + this.R +
          ", clients=" + this.N +
          ", flushCommits=" + this.flushCommits +
          ", writeToWAL=" + this.writeToWAL;
          int hash = h.hash(Bytes.toBytes(s));
          m.put(hash, s);
        }
      }
      for (Map.Entry<Integer, String> e: m.entrySet()) {
        out.println(e.getValue());
View Full Code Here
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    fs.mkdirs(subdir);
    Path inputFile = new Path(subdir, "input.txt");
    PrintStream out = new PrintStream(fs.create(inputFile));
    // Make input random.
    Map<Integer, String> m = new TreeMap<Integer, String>();
    Hash h = MurmurHash.getInstance();
    int perClientRows = (this.R / this.N);
    try {
      for (int i = 0; i < 10; i++) {
        for (int j = 0; j < N; j++) {
          String s = "startRow=" + ((j * perClientRows) + (i * (perClientRows/10))) +
          ", perClientRunRows=" + (perClientRows / 10) +
          ", totalRows=" + this.R +
          ", clients=" + this.N;
          int hash = h.hash(Bytes.toBytes(s));
          m.put(hash, s);
        }
      }
      for (Map.Entry<Integer, String> e: m.entrySet()) {
        out.println(e.getValue());
View Full Code Here
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    Path inputFile = new Path(inputDir, "input.txt");
    PrintStream out = new PrintStream(fs.create(inputFile));
    // Make input random.
    Map<Integer, String> m = new TreeMap<Integer, String>();
    Hash h = MurmurHash.getInstance();
    int perClientRows = (this.R / this.N);
    try {
      for (int i = 0; i < 10; i++) {
        for (int j = 0; j < N; j++) {
          String s = "tableName=" + this.tableName +
          ", startRow=" + ((j * perClientRows) + (i * (perClientRows/10))) +
          ", perClientRunRows=" + (perClientRows / 10) +
          ", totalRows=" + this.R +
          ", sampleRate=" + this.sampleRate +
          ", clients=" + this.N +
          ", flushCommits=" + this.flushCommits +
          ", writeToWAL=" + this.writeToWAL +
          ", reportLatency=" + this.reportLatency;
          int hash = h.hash(Bytes.toBytes(s));
          m.put(hash, s);
        }
      }
      for (Map.Entry<Integer, String> e: m.entrySet()) {
        out.println(e.getValue());
View Full Code Here
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Related Classes of org.apache.hadoop.hbase.util.Hash

  • org.apache.hadoop.hbase.PerformanceEvaluation
  • org.apache.hadoop.hbase.rest.PerformanceEvaluation
  • org.apache.hadoop.hbase.stargate.PerformanceEvaluation
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