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https://issues.apache.org/jira/browse/ACCUMULO-3913?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14737316#comment-14737316
 ] 

ASF GitHub Bot commented on ACCUMULO-3913:
------------------------------------------

Github user keith-turner commented on a diff in the pull request:

    https://github.com/apache/accumulo/pull/46#discussion_r39076125
  
    --- Diff: 
core/src/main/java/org/apache/accumulo/core/client/ClientSideIteratorScanner.java
 ---
    @@ -297,4 +345,50 @@ public void setReadaheadThreshold(long batches) {
         }
         this.readaheadThreshold = batches;
       }
    +
    +  private SamplerConfiguration getIteratorSamplerConfigurationInternal() {
    +    SamplerConfiguration scannerSamplerConfig = getSamplerConfiguration();
    +    if (scannerSamplerConfig != null) {
    +      if (iteratorSamplerConfig != null && !new 
SamplerConfigurationImpl(iteratorSamplerConfig).equals(new 
SamplerConfigurationImpl(scannerSamplerConfig))) {
    --- End diff --
    
    fixed in f6f60ad .   At one point `SamplerConfiguration` did not have 
`equals()` impl, but now it does so I shortened it.


> Add per table sampling
> ----------------------
>
>                 Key: ACCUMULO-3913
>                 URL: https://issues.apache.org/jira/browse/ACCUMULO-3913
>             Project: Accumulo
>          Issue Type: Improvement
>            Reporter: Keith Turner
>             Fix For: 1.8.0
>
>
> I am working on prototyping adding hash based sampling to Accumulo.  I am 
> trying to accomplish the following goals in the prototype.
>   # Have each RFile store a sample per locality group.  Also store the 
> configuration used to generate the sample.
>   # Use sampling functions that ensure the same row columns exist across the 
> samples in all RFiles. Hash mod is a good candidate that gives a random 
> sample that's consistent across files.
>   # Have scanners support scanning RFile's samples sets.  Scan should fail if 
> RFiles have different sample configuration.  Different sampling config 
> implies the RFile's sample sets contain a possibly disjoint set of row 
> columns.
>   # Support generating sample data for RFiles generated for bulk import
>   # Support sample data in the memory map
>   # Support enabling and disabling sampling per table AND configuring a 
> sample function.
> I am currently using the following function in my prototype to determine what 
> data an RFile stores in its sample set.  This code will always select same 
> subset of rows for each RFile's sample set.  I have not yet made the function 
> configurable.
> {code:java}
> public class RowSampler implements Sampler {
>   private HashFunction hasher = Hashing.murmur3_32();
>   @Override
>   public boolean accept(Key k) {
>     ByteSequence row = k.getRowData();
>     HashCode hc = hasher.hashBytes(row.getBackingArray(), row.offset(), 
> row.length());
>     return hc.asInt() % 1009 == 0;
>   }
> }
> {code}
> Although not yet implemented, the divisor in this RowSample could be 
> configurable. RFiles with sample data would store the fact that a RowSample 
> with a divisor of 1009 was used to generate sample data.



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