junegunn commented on code in PR #6656:
URL: https://github.com/apache/hbase/pull/6656#discussion_r1942268264


##########
hbase-shell/src/main/ruby/hbase/table.rb:
##########
@@ -321,24 +321,21 @@ def _append_internal(row, column, value, args = {})
     def _count_internal(interval = 1000, scan = nil, cacheBlocks=false)
       raise(ArgumentError, 'Scan argument should be 
org.apache.hadoop.hbase.client.Scan') \
         unless scan.nil? || scan.is_a?(org.apache.hadoop.hbase.client.Scan)
-      # We can safely set scanner caching with the first key only filter
 
-      if scan.nil?
-        scan = org.apache.hadoop.hbase.client.Scan.new
-        scan.setCacheBlocks(cacheBlocks)
-        scan.setCaching(10)
-        scan.setFilter(org.apache.hadoop.hbase.filter.FirstKeyOnlyFilter.new)
-      else
-        scan.setCacheBlocks(cacheBlocks)
-        filter = scan.getFilter
-        firstKeyOnlyFilter = 
org.apache.hadoop.hbase.filter.FirstKeyOnlyFilter.new
-        if filter.nil?
-          scan.setFilter(firstKeyOnlyFilter)
-        else
-          firstKeyOnlyFilter.setReversed(filter.isReversed)
-          scan.setFilter(org.apache.hadoop.hbase.filter.FilterList.new(filter, 
firstKeyOnlyFilter))
-        end
+      scan ||= org.apache.hadoop.hbase.client.Scan.new
+      scan.setCacheBlocks(cacheBlocks)
+
+      # Optimize counting by using FirstKeyOnlyFilter and KeyOnlyFilter
+      filters = [
+        org.apache.hadoop.hbase.filter.FirstKeyOnlyFilter.new,
+        org.apache.hadoop.hbase.filter.KeyOnlyFilter.new

Review Comment:
   > Why not only use KeyOnlyFilter?
   
   A record can have many number of columns. If we only use KeyOnlyFilter, 
we'll fetch that many cells. Their values will be empty, but they're still 
unnecessary for counting, we just need one cell.
   
   ```sh
   # No filter
   R1: CF:CQ1="foo" CF:CQ2="bar" CF:CQ3="baz"
   
   # KeyOnlyFilter
   R1: CF:CQ1="" CF:CQ2="" CF:CQ3=""
   
   # FirstKeyOnlyFilter
   R1: CF:CQ1="foo"
   
   # FirstKeyOnlyFilter + KeyOnlyFilter
   R1: CF:CQ1=""
   ```



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