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Posted to dev@hive.apache.org by "Remus Rusanu (JIRA)" <ji...@apache.org> on 2013/06/14 08:52:21 UTC
[jira] [Created] (HIVE-4736) Float aggregate of single value looses
precission
Remus Rusanu created HIVE-4736:
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Summary: Float aggregate of single value looses precission
Key: HIVE-4736
URL: https://issues.apache.org/jira/browse/HIVE-4736
Project: Hive
Issue Type: Sub-task
Components: Query Processor
Affects Versions: vectorization-branch
Reporter: Remus Rusanu
Assignee: Remus Rusanu
Priority: Minor
I am seeing differences that are small but greater than expected in the output of TPC-H query 1. Thanks to Jitendra’s patch, the negative result error is gone. However, I am seeing that the results for
Sum(l_extendedprice * ( 1 - l_discount ))
Sum(l_extendedprice * ( 1 - l_discount ) * ( 1 + l_tax ))
Differ in the low-order 8 or so digits compared with text. I know the input is float so it should have all zeros in the low digits when cast to double. I would not expect the answers to match exactly but I would expect errors in the last few digits, not the last 8. I could be wrong, but I think this may be worth investigating. Any ideas?
I also noticed this, where I ran the query against a single row worth of input (order 1, line 1):
SELECT l_returnflag,
l_linestatus,
Sum(l_quantity) AS sum_qty,
Sum(l_extendedprice) AS sum_base_price,
Sum(l_extendedprice * ( 1 - l_discount )) AS sum_disc_price,
Sum(l_extendedprice * ( 1 - l_discount ) * ( 1 + l_tax )) AS sum_charge,
Avg(l_quantity) AS avg_qty,
Avg(l_extendedprice) AS avg_price,
Avg(l_discount) AS avg_disc,
Count(*) AS count_order
FROM lineitem
WHERE l_shipdate <= '1998-09-19'
and l_orderkey = 1 and l_linenumber = 1
GROUP BY l_returnflag,
l_linestatus
ORDER BY l_returnflag,
l_linestatus;
input row
1 155190 7706 1 17.0 21168.23 0.04 0.02 N O 1996-03-13 1996-02-12 1996-03-22 DELIVER IN PERSON TRUCK egular courts above the
Result
V (orc)
N O 17.0 21168.23046875 20321.501268925873 20727.931285219973 17.0 21168.23046875 0.03999999910593033 1
NV (text)
N O 17.0 21168.23046875 20321.5 20727.9296875 17.0 21168.23046875 0.03999999910593033 1
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