All Hash Aggregate functions take input and group_by sequence arguments.
(Please see the Hash_Agg_Grouping page for a more detailed explanation.)
seq_hash_agg_count( input, group_by ) Returns a sequence with the count of the number of elements in each group seq_hash_agg_max( input, group_by ) Returns the sequence with the maximum value for each group of elements seq_hash_agg_min( input, group_by ) Returns the sequence with the minimum value for each group of elements seq_hash_agg_sum( input, group_by ) Returns the sequence with the sum of each group of elements seq_hash_agg_avg( input, group_by ) Returns the sequence with the average of each group of elements seq_hash_agg_approxdc( input, group_by ) Returns a sequence with the approximate count of distinct values for each group Example
As explained in Analytics Functions Library Examples page, the data in the following example is taken from historical values from 2013 for IBM. The data is loaded into xSQL by running various scripts in directory
samples/xsql/scripts/financial
. To reproduce the example below run theg.bat
(or g.sh
on Linux systems) specifying the example number 9. For instance, withscripts/financial
as the current working directory, simply type:g 9Following is an example code snippet demonstrating some of the
hash_agg()
functions for the 2013 data.------------------------------------------------------------------------- -- count INSERT INTO SimpleSequence(testNumber,iVal1,iVal2) VALUES(1,[1,1,2,2,2,3],[1,2,3,4,5,6]); SELECT iVal1, iVal2, seq_hash_agg_count(iVal1) as "count", seq_hash_agg_approxdc(iVal1, iVal2) as "approxdc" FROM SimpleSequence WHERE testNumber=1; iVal1{} iVal2{} count_val1{} group_by_count{} approxdc_val1_val2{} group_by_approxdc{} ------------------------------------------------------------------------- {1, 1, 2, 2, 2, 3} {1, 2, 3, 4, 5, 6} {2, 1, 3} {1, 3, 2} {1, 1, 1, 1, 1, 1} {1, 4, 3, 6, 5, 2}