diff --git a/scripts-available/CDB_DistinctMeasure.sql b/scripts-available/CDB_DistinctMeasure.sql
new file mode 100644
index 0000000..803ab69
--- /dev/null
+++ b/scripts-available/CDB_DistinctMeasure.sql
@@ -0,0 +1,46 @@
+--
+-- CDB_DistinctMeasure 
+--     calculates the fraction of rows in the 10 most common distinct categories
+--     returns true if the number of rows in these 10 categories is >= 0.9 * total number of rows
+-- 
+-- 
+
+CREATE OR REPLACE FUNCTION CDB_DistinctMeasure ( in_array text[], threshold numeric DEFAULT 0.90 ) RETURNS boolean as $$
+DECLARE
+    element_count INT4;
+    maxval numeric;
+    passes boolean;
+BEGIN
+    SELECT count(e) INTO element_count FROM ( SELECT unnest(in_array) e ) x;
+
+    -- count number of occurrences per bin
+    -- calculate the normalized cumulative sum
+    -- return the max value: which corresponds nth entry 
+    -- for n <= 10 depending on # of distinct values
+    EXECUTE 'WITH a As (
+              SELECT
+                count(*) cnt,
+                e
+              FROM
+                (SELECT * FROM unnest($2) e ) x
+              GROUP BY e
+              ORDER BY cnt DESC
+            ),
+            b As (
+              SELECT
+                sum(cnt) OVER (ORDER BY cnt DESC) / $1 As cumsum
+              FROM a
+              LIMIT 10
+              )
+            SELECT max(cumsum) maxval FROM b'
+            INTO maxval
+            USING element_count, in_array;
+
+    passes = CASE WHEN maxval >= threshold
+                  THEN TRUE
+                  ELSE FALSE
+                  END;
+    RAISE NOTICE 'maxval: %', maxval;
+    RETURN passes;
+END;
+$$ language plpgsql IMMUTABLE;