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From git-site-r...@apache.org
Subject [17/51] [partial] hbase-site git commit: Published site at acd0d1e446c164d9c54bfb461b2d449c8d717c07.
Date Sat, 05 May 2018 14:52:24 GMT
http://git-wip-us.apache.org/repos/asf/hbase-site/blob/f2065178/testdevapidocs/src-html/org/apache/hadoop/hbase/PerformanceEvaluation.EvaluationMapTask.html
----------------------------------------------------------------------
diff --git a/testdevapidocs/src-html/org/apache/hadoop/hbase/PerformanceEvaluation.EvaluationMapTask.html b/testdevapidocs/src-html/org/apache/hadoop/hbase/PerformanceEvaluation.EvaluationMapTask.html
index 2510283..418c60c 100644
--- a/testdevapidocs/src-html/org/apache/hadoop/hbase/PerformanceEvaluation.EvaluationMapTask.html
+++ b/testdevapidocs/src-html/org/apache/hadoop/hbase/PerformanceEvaluation.EvaluationMapTask.html
@@ -77,77 +77,77 @@
 <span class="sourceLineNo">069</span>import org.apache.hadoop.hbase.client.RowMutations;<a name="line.69"></a>
 <span class="sourceLineNo">070</span>import org.apache.hadoop.hbase.client.Scan;<a name="line.70"></a>
 <span class="sourceLineNo">071</span>import org.apache.hadoop.hbase.client.Table;<a name="line.71"></a>
-<span class="sourceLineNo">072</span>import org.apache.hadoop.hbase.filter.BinaryComparator;<a name="line.72"></a>
-<span class="sourceLineNo">073</span>import org.apache.hadoop.hbase.filter.Filter;<a name="line.73"></a>
-<span class="sourceLineNo">074</span>import org.apache.hadoop.hbase.filter.FilterAllFilter;<a name="line.74"></a>
-<span class="sourceLineNo">075</span>import org.apache.hadoop.hbase.filter.FilterList;<a name="line.75"></a>
-<span class="sourceLineNo">076</span>import org.apache.hadoop.hbase.filter.PageFilter;<a name="line.76"></a>
-<span class="sourceLineNo">077</span>import org.apache.hadoop.hbase.filter.SingleColumnValueFilter;<a name="line.77"></a>
-<span class="sourceLineNo">078</span>import org.apache.hadoop.hbase.filter.WhileMatchFilter;<a name="line.78"></a>
-<span class="sourceLineNo">079</span>import org.apache.hadoop.hbase.io.compress.Compression;<a name="line.79"></a>
-<span class="sourceLineNo">080</span>import org.apache.hadoop.hbase.io.encoding.DataBlockEncoding;<a name="line.80"></a>
-<span class="sourceLineNo">081</span>import org.apache.hadoop.hbase.io.hfile.RandomDistribution;<a name="line.81"></a>
-<span class="sourceLineNo">082</span>import org.apache.hadoop.hbase.mapreduce.TableMapReduceUtil;<a name="line.82"></a>
-<span class="sourceLineNo">083</span>import org.apache.hadoop.hbase.regionserver.BloomType;<a name="line.83"></a>
-<span class="sourceLineNo">084</span>import org.apache.hadoop.hbase.regionserver.CompactingMemStore;<a name="line.84"></a>
-<span class="sourceLineNo">085</span>import org.apache.hadoop.hbase.trace.HBaseHTraceConfiguration;<a name="line.85"></a>
-<span class="sourceLineNo">086</span>import org.apache.hadoop.hbase.trace.SpanReceiverHost;<a name="line.86"></a>
-<span class="sourceLineNo">087</span>import org.apache.hadoop.hbase.trace.TraceUtil;<a name="line.87"></a>
-<span class="sourceLineNo">088</span>import org.apache.hadoop.hbase.util.ByteArrayHashKey;<a name="line.88"></a>
-<span class="sourceLineNo">089</span>import org.apache.hadoop.hbase.util.Bytes;<a name="line.89"></a>
-<span class="sourceLineNo">090</span>import org.apache.hadoop.hbase.util.Hash;<a name="line.90"></a>
-<span class="sourceLineNo">091</span>import org.apache.hadoop.hbase.util.MurmurHash;<a name="line.91"></a>
-<span class="sourceLineNo">092</span>import org.apache.hadoop.hbase.util.Pair;<a name="line.92"></a>
-<span class="sourceLineNo">093</span>import org.apache.hadoop.hbase.util.YammerHistogramUtils;<a name="line.93"></a>
-<span class="sourceLineNo">094</span>import org.apache.hadoop.io.LongWritable;<a name="line.94"></a>
-<span class="sourceLineNo">095</span>import org.apache.hadoop.io.Text;<a name="line.95"></a>
-<span class="sourceLineNo">096</span>import org.apache.hadoop.mapreduce.Job;<a name="line.96"></a>
-<span class="sourceLineNo">097</span>import org.apache.hadoop.mapreduce.Mapper;<a name="line.97"></a>
-<span class="sourceLineNo">098</span>import org.apache.hadoop.mapreduce.lib.input.NLineInputFormat;<a name="line.98"></a>
-<span class="sourceLineNo">099</span>import org.apache.hadoop.mapreduce.lib.output.TextOutputFormat;<a name="line.99"></a>
-<span class="sourceLineNo">100</span>import org.apache.hadoop.mapreduce.lib.reduce.LongSumReducer;<a name="line.100"></a>
-<span class="sourceLineNo">101</span>import org.apache.hadoop.util.Tool;<a name="line.101"></a>
-<span class="sourceLineNo">102</span>import org.apache.hadoop.util.ToolRunner;<a name="line.102"></a>
-<span class="sourceLineNo">103</span>import org.apache.htrace.core.ProbabilitySampler;<a name="line.103"></a>
-<span class="sourceLineNo">104</span>import org.apache.htrace.core.Sampler;<a name="line.104"></a>
-<span class="sourceLineNo">105</span>import org.apache.htrace.core.TraceScope;<a name="line.105"></a>
-<span class="sourceLineNo">106</span>import org.apache.yetus.audience.InterfaceAudience;<a name="line.106"></a>
-<span class="sourceLineNo">107</span>import org.slf4j.Logger;<a name="line.107"></a>
-<span class="sourceLineNo">108</span>import org.slf4j.LoggerFactory;<a name="line.108"></a>
-<span class="sourceLineNo">109</span>import org.apache.hbase.thirdparty.com.google.common.base.MoreObjects;<a name="line.109"></a>
-<span class="sourceLineNo">110</span>import org.apache.hbase.thirdparty.com.google.common.util.concurrent.ThreadFactoryBuilder;<a name="line.110"></a>
-<span class="sourceLineNo">111</span><a name="line.111"></a>
-<span class="sourceLineNo">112</span>/**<a name="line.112"></a>
-<span class="sourceLineNo">113</span> * Script used evaluating HBase performance and scalability.  Runs a HBase<a name="line.113"></a>
-<span class="sourceLineNo">114</span> * client that steps through one of a set of hardcoded tests or 'experiments'<a name="line.114"></a>
-<span class="sourceLineNo">115</span> * (e.g. a random reads test, a random writes test, etc.). Pass on the<a name="line.115"></a>
-<span class="sourceLineNo">116</span> * command-line which test to run and how many clients are participating in<a name="line.116"></a>
-<span class="sourceLineNo">117</span> * this experiment. Run {@code PerformanceEvaluation --help} to obtain usage.<a name="line.117"></a>
-<span class="sourceLineNo">118</span> *<a name="line.118"></a>
-<span class="sourceLineNo">119</span> * &lt;p&gt;This class sets up and runs the evaluation programs described in<a name="line.119"></a>
-<span class="sourceLineNo">120</span> * Section 7, &lt;i&gt;Performance Evaluation&lt;/i&gt;, of the &lt;a<a name="line.120"></a>
-<span class="sourceLineNo">121</span> * href="http://labs.google.com/papers/bigtable.html"&gt;Bigtable&lt;/a&gt;<a name="line.121"></a>
-<span class="sourceLineNo">122</span> * paper, pages 8-10.<a name="line.122"></a>
-<span class="sourceLineNo">123</span> *<a name="line.123"></a>
-<span class="sourceLineNo">124</span> * &lt;p&gt;By default, runs as a mapreduce job where each mapper runs a single test<a name="line.124"></a>
-<span class="sourceLineNo">125</span> * client. Can also run as a non-mapreduce, multithreaded application by<a name="line.125"></a>
-<span class="sourceLineNo">126</span> * specifying {@code --nomapred}. Each client does about 1GB of data, unless<a name="line.126"></a>
-<span class="sourceLineNo">127</span> * specified otherwise.<a name="line.127"></a>
-<span class="sourceLineNo">128</span> */<a name="line.128"></a>
-<span class="sourceLineNo">129</span>@InterfaceAudience.LimitedPrivate(HBaseInterfaceAudience.TOOLS)<a name="line.129"></a>
-<span class="sourceLineNo">130</span>public class PerformanceEvaluation extends Configured implements Tool {<a name="line.130"></a>
-<span class="sourceLineNo">131</span>  static final String RANDOM_SEEK_SCAN = "randomSeekScan";<a name="line.131"></a>
-<span class="sourceLineNo">132</span>  static final String RANDOM_READ = "randomRead";<a name="line.132"></a>
-<span class="sourceLineNo">133</span>  private static final Logger LOG = LoggerFactory.getLogger(PerformanceEvaluation.class.getName());<a name="line.133"></a>
-<span class="sourceLineNo">134</span>  private static final ObjectMapper MAPPER = new ObjectMapper();<a name="line.134"></a>
-<span class="sourceLineNo">135</span>  static {<a name="line.135"></a>
-<span class="sourceLineNo">136</span>    MAPPER.configure(MapperFeature.SORT_PROPERTIES_ALPHABETICALLY, true);<a name="line.136"></a>
-<span class="sourceLineNo">137</span>  }<a name="line.137"></a>
-<span class="sourceLineNo">138</span><a name="line.138"></a>
-<span class="sourceLineNo">139</span>  public static final String TABLE_NAME = "TestTable";<a name="line.139"></a>
-<span class="sourceLineNo">140</span>  public static final byte[] FAMILY_NAME = Bytes.toBytes("info");<a name="line.140"></a>
-<span class="sourceLineNo">141</span>  public static final byte [] COLUMN_ZERO = Bytes.toBytes("" + 0);<a name="line.141"></a>
-<span class="sourceLineNo">142</span>  public static final byte [] QUALIFIER_NAME = COLUMN_ZERO;<a name="line.142"></a>
+<span class="sourceLineNo">072</span>import org.apache.hadoop.hbase.client.metrics.ScanMetrics;<a name="line.72"></a>
+<span class="sourceLineNo">073</span>import org.apache.hadoop.hbase.filter.BinaryComparator;<a name="line.73"></a>
+<span class="sourceLineNo">074</span>import org.apache.hadoop.hbase.filter.Filter;<a name="line.74"></a>
+<span class="sourceLineNo">075</span>import org.apache.hadoop.hbase.filter.FilterAllFilter;<a name="line.75"></a>
+<span class="sourceLineNo">076</span>import org.apache.hadoop.hbase.filter.FilterList;<a name="line.76"></a>
+<span class="sourceLineNo">077</span>import org.apache.hadoop.hbase.filter.PageFilter;<a name="line.77"></a>
+<span class="sourceLineNo">078</span>import org.apache.hadoop.hbase.filter.SingleColumnValueFilter;<a name="line.78"></a>
+<span class="sourceLineNo">079</span>import org.apache.hadoop.hbase.filter.WhileMatchFilter;<a name="line.79"></a>
+<span class="sourceLineNo">080</span>import org.apache.hadoop.hbase.io.compress.Compression;<a name="line.80"></a>
+<span class="sourceLineNo">081</span>import org.apache.hadoop.hbase.io.encoding.DataBlockEncoding;<a name="line.81"></a>
+<span class="sourceLineNo">082</span>import org.apache.hadoop.hbase.io.hfile.RandomDistribution;<a name="line.82"></a>
+<span class="sourceLineNo">083</span>import org.apache.hadoop.hbase.mapreduce.TableMapReduceUtil;<a name="line.83"></a>
+<span class="sourceLineNo">084</span>import org.apache.hadoop.hbase.regionserver.BloomType;<a name="line.84"></a>
+<span class="sourceLineNo">085</span>import org.apache.hadoop.hbase.regionserver.CompactingMemStore;<a name="line.85"></a>
+<span class="sourceLineNo">086</span>import org.apache.hadoop.hbase.trace.HBaseHTraceConfiguration;<a name="line.86"></a>
+<span class="sourceLineNo">087</span>import org.apache.hadoop.hbase.trace.SpanReceiverHost;<a name="line.87"></a>
+<span class="sourceLineNo">088</span>import org.apache.hadoop.hbase.trace.TraceUtil;<a name="line.88"></a>
+<span class="sourceLineNo">089</span>import org.apache.hadoop.hbase.util.ByteArrayHashKey;<a name="line.89"></a>
+<span class="sourceLineNo">090</span>import org.apache.hadoop.hbase.util.Bytes;<a name="line.90"></a>
+<span class="sourceLineNo">091</span>import org.apache.hadoop.hbase.util.Hash;<a name="line.91"></a>
+<span class="sourceLineNo">092</span>import org.apache.hadoop.hbase.util.MurmurHash;<a name="line.92"></a>
+<span class="sourceLineNo">093</span>import org.apache.hadoop.hbase.util.Pair;<a name="line.93"></a>
+<span class="sourceLineNo">094</span>import org.apache.hadoop.hbase.util.YammerHistogramUtils;<a name="line.94"></a>
+<span class="sourceLineNo">095</span>import org.apache.hadoop.io.LongWritable;<a name="line.95"></a>
+<span class="sourceLineNo">096</span>import org.apache.hadoop.io.Text;<a name="line.96"></a>
+<span class="sourceLineNo">097</span>import org.apache.hadoop.mapreduce.Job;<a name="line.97"></a>
+<span class="sourceLineNo">098</span>import org.apache.hadoop.mapreduce.Mapper;<a name="line.98"></a>
+<span class="sourceLineNo">099</span>import org.apache.hadoop.mapreduce.lib.input.NLineInputFormat;<a name="line.99"></a>
+<span class="sourceLineNo">100</span>import org.apache.hadoop.mapreduce.lib.output.TextOutputFormat;<a name="line.100"></a>
+<span class="sourceLineNo">101</span>import org.apache.hadoop.mapreduce.lib.reduce.LongSumReducer;<a name="line.101"></a>
+<span class="sourceLineNo">102</span>import org.apache.hadoop.util.Tool;<a name="line.102"></a>
+<span class="sourceLineNo">103</span>import org.apache.hadoop.util.ToolRunner;<a name="line.103"></a>
+<span class="sourceLineNo">104</span>import org.apache.htrace.core.ProbabilitySampler;<a name="line.104"></a>
+<span class="sourceLineNo">105</span>import org.apache.htrace.core.Sampler;<a name="line.105"></a>
+<span class="sourceLineNo">106</span>import org.apache.htrace.core.TraceScope;<a name="line.106"></a>
+<span class="sourceLineNo">107</span>import org.apache.yetus.audience.InterfaceAudience;<a name="line.107"></a>
+<span class="sourceLineNo">108</span>import org.slf4j.Logger;<a name="line.108"></a>
+<span class="sourceLineNo">109</span>import org.slf4j.LoggerFactory;<a name="line.109"></a>
+<span class="sourceLineNo">110</span>import org.apache.hbase.thirdparty.com.google.common.base.MoreObjects;<a name="line.110"></a>
+<span class="sourceLineNo">111</span>import org.apache.hbase.thirdparty.com.google.common.util.concurrent.ThreadFactoryBuilder;<a name="line.111"></a>
+<span class="sourceLineNo">112</span><a name="line.112"></a>
+<span class="sourceLineNo">113</span>/**<a name="line.113"></a>
+<span class="sourceLineNo">114</span> * Script used evaluating HBase performance and scalability.  Runs a HBase<a name="line.114"></a>
+<span class="sourceLineNo">115</span> * client that steps through one of a set of hardcoded tests or 'experiments'<a name="line.115"></a>
+<span class="sourceLineNo">116</span> * (e.g. a random reads test, a random writes test, etc.). Pass on the<a name="line.116"></a>
+<span class="sourceLineNo">117</span> * command-line which test to run and how many clients are participating in<a name="line.117"></a>
+<span class="sourceLineNo">118</span> * this experiment. Run {@code PerformanceEvaluation --help} to obtain usage.<a name="line.118"></a>
+<span class="sourceLineNo">119</span> *<a name="line.119"></a>
+<span class="sourceLineNo">120</span> * &lt;p&gt;This class sets up and runs the evaluation programs described in<a name="line.120"></a>
+<span class="sourceLineNo">121</span> * Section 7, &lt;i&gt;Performance Evaluation&lt;/i&gt;, of the &lt;a<a name="line.121"></a>
+<span class="sourceLineNo">122</span> * href="http://labs.google.com/papers/bigtable.html"&gt;Bigtable&lt;/a&gt;<a name="line.122"></a>
+<span class="sourceLineNo">123</span> * paper, pages 8-10.<a name="line.123"></a>
+<span class="sourceLineNo">124</span> *<a name="line.124"></a>
+<span class="sourceLineNo">125</span> * &lt;p&gt;By default, runs as a mapreduce job where each mapper runs a single test<a name="line.125"></a>
+<span class="sourceLineNo">126</span> * client. Can also run as a non-mapreduce, multithreaded application by<a name="line.126"></a>
+<span class="sourceLineNo">127</span> * specifying {@code --nomapred}. Each client does about 1GB of data, unless<a name="line.127"></a>
+<span class="sourceLineNo">128</span> * specified otherwise.<a name="line.128"></a>
+<span class="sourceLineNo">129</span> */<a name="line.129"></a>
+<span class="sourceLineNo">130</span>@InterfaceAudience.LimitedPrivate(HBaseInterfaceAudience.TOOLS)<a name="line.130"></a>
+<span class="sourceLineNo">131</span>public class PerformanceEvaluation extends Configured implements Tool {<a name="line.131"></a>
+<span class="sourceLineNo">132</span>  static final String RANDOM_SEEK_SCAN = "randomSeekScan";<a name="line.132"></a>
+<span class="sourceLineNo">133</span>  static final String RANDOM_READ = "randomRead";<a name="line.133"></a>
+<span class="sourceLineNo">134</span>  private static final Logger LOG = LoggerFactory.getLogger(PerformanceEvaluation.class.getName());<a name="line.134"></a>
+<span class="sourceLineNo">135</span>  private static final ObjectMapper MAPPER = new ObjectMapper();<a name="line.135"></a>
+<span class="sourceLineNo">136</span>  static {<a name="line.136"></a>
+<span class="sourceLineNo">137</span>    MAPPER.configure(MapperFeature.SORT_PROPERTIES_ALPHABETICALLY, true);<a name="line.137"></a>
+<span class="sourceLineNo">138</span>  }<a name="line.138"></a>
+<span class="sourceLineNo">139</span><a name="line.139"></a>
+<span class="sourceLineNo">140</span>  public static final String TABLE_NAME = "TestTable";<a name="line.140"></a>
+<span class="sourceLineNo">141</span>  public static final byte[] FAMILY_NAME = Bytes.toBytes("info");<a name="line.141"></a>
+<span class="sourceLineNo">142</span>  public static final byte [] COLUMN_ZERO = Bytes.toBytes("" + 0);<a name="line.142"></a>
 <span class="sourceLineNo">143</span>  public static final int DEFAULT_VALUE_LENGTH = 1000;<a name="line.143"></a>
 <span class="sourceLineNo">144</span>  public static final int ROW_LENGTH = 26;<a name="line.144"></a>
 <span class="sourceLineNo">145</span><a name="line.145"></a>
@@ -1055,1591 +1055,1698 @@
 <span class="sourceLineNo">1047</span>    private String testName;<a name="line.1047"></a>
 <span class="sourceLineNo">1048</span>    private Histogram latencyHistogram;<a name="line.1048"></a>
 <span class="sourceLineNo">1049</span>    private Histogram valueSizeHistogram;<a name="line.1049"></a>
-<span class="sourceLineNo">1050</span>    private RandomDistribution.Zipf zipf;<a name="line.1050"></a>
-<span class="sourceLineNo">1051</span><a name="line.1051"></a>
-<span class="sourceLineNo">1052</span>    /**<a name="line.1052"></a>
-<span class="sourceLineNo">1053</span>     * Note that all subclasses of this class must provide a public constructor<a name="line.1053"></a>
-<span class="sourceLineNo">1054</span>     * that has the exact same list of arguments.<a name="line.1054"></a>
-<span class="sourceLineNo">1055</span>     */<a name="line.1055"></a>
-<span class="sourceLineNo">1056</span>    TestBase(final Configuration conf, final TestOptions options, final Status status) {<a name="line.1056"></a>
-<span class="sourceLineNo">1057</span>      this.conf = conf;<a name="line.1057"></a>
-<span class="sourceLineNo">1058</span>      this.receiverHost = this.conf == null? null: SpanReceiverHost.getInstance(conf);<a name="line.1058"></a>
-<span class="sourceLineNo">1059</span>      this.opts = options;<a name="line.1059"></a>
-<span class="sourceLineNo">1060</span>      this.status = status;<a name="line.1060"></a>
-<span class="sourceLineNo">1061</span>      this.testName = this.getClass().getSimpleName();<a name="line.1061"></a>
-<span class="sourceLineNo">1062</span>      if (options.traceRate &gt;= 1.0) {<a name="line.1062"></a>
-<span class="sourceLineNo">1063</span>        this.traceSampler = Sampler.ALWAYS;<a name="line.1063"></a>
-<span class="sourceLineNo">1064</span>      } else if (options.traceRate &gt; 0.0) {<a name="line.1064"></a>
-<span class="sourceLineNo">1065</span>        conf.setDouble("hbase.sampler.fraction", options.traceRate);<a name="line.1065"></a>
-<span class="sourceLineNo">1066</span>        this.traceSampler = new ProbabilitySampler(new HBaseHTraceConfiguration(conf));<a name="line.1066"></a>
-<span class="sourceLineNo">1067</span>      } else {<a name="line.1067"></a>
-<span class="sourceLineNo">1068</span>        this.traceSampler = Sampler.NEVER;<a name="line.1068"></a>
-<span class="sourceLineNo">1069</span>      }<a name="line.1069"></a>
-<span class="sourceLineNo">1070</span>      everyN = (int) (opts.totalRows / (opts.totalRows * opts.sampleRate));<a name="line.1070"></a>
-<span class="sourceLineNo">1071</span>      if (options.isValueZipf()) {<a name="line.1071"></a>
-<span class="sourceLineNo">1072</span>        this.zipf = new RandomDistribution.Zipf(this.rand, 1, options.getValueSize(), 1.2);<a name="line.1072"></a>
-<span class="sourceLineNo">1073</span>      }<a name="line.1073"></a>
-<span class="sourceLineNo">1074</span>      LOG.info("Sampling 1 every " + everyN + " out of " + opts.perClientRunRows + " total rows.");<a name="line.1074"></a>
-<span class="sourceLineNo">1075</span>    }<a name="line.1075"></a>
-<span class="sourceLineNo">1076</span><a name="line.1076"></a>
-<span class="sourceLineNo">1077</span>    int getValueLength(final Random r) {<a name="line.1077"></a>
-<span class="sourceLineNo">1078</span>      if (this.opts.isValueRandom()) {<a name="line.1078"></a>
-<span class="sourceLineNo">1079</span>        return r.nextInt(opts.valueSize);<a name="line.1079"></a>
-<span class="sourceLineNo">1080</span>      } else if (this.opts.isValueZipf()) {<a name="line.1080"></a>
-<span class="sourceLineNo">1081</span>        return Math.abs(this.zipf.nextInt());<a name="line.1081"></a>
-<span class="sourceLineNo">1082</span>      } else {<a name="line.1082"></a>
-<span class="sourceLineNo">1083</span>        return opts.valueSize;<a name="line.1083"></a>
-<span class="sourceLineNo">1084</span>      }<a name="line.1084"></a>
-<span class="sourceLineNo">1085</span>    }<a name="line.1085"></a>
-<span class="sourceLineNo">1086</span><a name="line.1086"></a>
-<span class="sourceLineNo">1087</span>    void updateValueSize(final Result [] rs) throws IOException {<a name="line.1087"></a>
-<span class="sourceLineNo">1088</span>      if (rs == null || !isRandomValueSize()) return;<a name="line.1088"></a>
-<span class="sourceLineNo">1089</span>      for (Result r: rs) updateValueSize(r);<a name="line.1089"></a>
-<span class="sourceLineNo">1090</span>    }<a name="line.1090"></a>
-<span class="sourceLineNo">1091</span><a name="line.1091"></a>
-<span class="sourceLineNo">1092</span>    void updateValueSize(final Result r) throws IOException {<a name="line.1092"></a>
-<span class="sourceLineNo">1093</span>      if (r == null || !isRandomValueSize()) return;<a name="line.1093"></a>
-<span class="sourceLineNo">1094</span>      int size = 0;<a name="line.1094"></a>
-<span class="sourceLineNo">1095</span>      for (CellScanner scanner = r.cellScanner(); scanner.advance();) {<a name="line.1095"></a>
-<span class="sourceLineNo">1096</span>        size += scanner.current().getValueLength();<a name="line.1096"></a>
-<span class="sourceLineNo">1097</span>      }<a name="line.1097"></a>
-<span class="sourceLineNo">1098</span>      updateValueSize(size);<a name="line.1098"></a>
-<span class="sourceLineNo">1099</span>    }<a name="line.1099"></a>
-<span class="sourceLineNo">1100</span><a name="line.1100"></a>
-<span class="sourceLineNo">1101</span>    void updateValueSize(final int valueSize) {<a name="line.1101"></a>
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