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Posted to issues@drill.apache.org by "Kristine Hahn (JIRA)" <ji...@apache.org> on 2015/03/11 19:52:39 UTC
[jira] [Assigned] (DRILL-2431) Document behavior of floating point
types
[ https://issues.apache.org/jira/browse/DRILL-2431?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Kristine Hahn reassigned DRILL-2431:
------------------------------------
Assignee: Kristine Hahn (was: Bridget Bevens)
> Document behavior of floating point types
> -----------------------------------------
>
> Key: DRILL-2431
> URL: https://issues.apache.org/jira/browse/DRILL-2431
> Project: Apache Drill
> Issue Type: Bug
> Components: Documentation
> Affects Versions: 0.8.0
> Reporter: Victoria Markman
> Assignee: Kristine Hahn
>
> Joining on columns of float and double data type produces confusing result. Drill returns the same result as postgres. Part of me feels that we should not follow postgres blindly in this case, removing implicit cast between float and double would be better choice.
> At a minimum we should have a section in our documentation that discusses floating point types and this is a good example on how things can go wrong if user does not understand the behavior.
> Example of such a discussion in Postgres docs: http://www.postgresql.org/docs/9.1/static/datatype-numeric.html
> t1.csv
> {code}
> 997322.0399,997322.0399
> 982209.1438,982209.1438
> 997322,997322
> 982209,982209
> 963548,963548
> 959310,959310
> {code}
> t2.csv
> {code}
> 997322.0399,997322.0399
> 982209.1438,982209.1438
> 997322,997322
> 982209,982209
> 963548,963548
> 959310,959310
> {code}
> {code}
> create table t1(c_float, c_double) as
> select
> case when columns[0] = '' then cast(null as float) else cast(columns[0] as float) end,
> case when columns[1] = '' then cast(null as double) else cast(columns[1] as double) end
> from `t1.csv`;
> create table t2(c_float, c_double) as
> select
> case when columns[0] = '' then cast(null as float) else cast(columns[0] as float) end,
> case when columns[1] = '' then cast(null as double) else cast(columns[1] as double) end
> from `t2.csv`;
> 0: jdbc:drill:schema=dfs> select * from t1;
> +------------+------------+
> | c_float | c_double |
> +------------+------------+
> | 997322.06 | 997322.0399 |
> | 982209.1 | 982209.1438 |
> | 997322.0 | 997322.0 |
> | 982209.0 | 982209.0 |
> | 963548.0 | 963548.0 |
> | 959310.0 | 959310.0 |
> +------------+------------+
> 6 rows selected (0.05 seconds)
> 0: jdbc:drill:schema=dfs> select * from t2;
> +------------+------------+
> | c_float | c_double |
> +------------+------------+
> | 997322.06 | 997322.0399 |
> | 982209.1 | 982209.1438 |
> | 997322.0 | 997322.0 |
> | 982209.0 | 982209.0 |
> | 963548.0 | 963548.0 |
> | 959310.0 | 959310.0 |
> +------------+------------+
> 6 rows selected (0.044 seconds)
> {code}
> Implicit cast: looks incorrect, but in fact we can't expect this to work.
> {code}
> 0: jdbc:drill:schema=dfs> select * from t1, t2 where t1.c_float = t2.c_double;
> +------------+------------+------------+------------+
> | c_float | c_double | c_float0 | c_double0 |
> +------------+------------+------------+------------+
> | 959310.0 | 959310.0 | 959310.0 | 959310.0 |
> | 963548.0 | 963548.0 | 963548.0 | 963548.0 |
> | 982209.0 | 982209.0 | 982209.0 | 982209.0 |
> | 997322.0 | 997322.0 | 997322.0 | 997322.0 |
> +------------+------------+------------+------------+
> 4 rows selected (0.127 seconds)
> {code}
> Explicit cast: same
> {code}
> 0: jdbc:drill:schema=dfs> select * from t1, t2 where cast(t1.c_float as double) = t2.c_double;
> +------------+------------+------------+------------+
> | c_float | c_double | c_float0 | c_double0 |
> +------------+------------+------------+------------+
> | 959310.0 | 959310.0 | 959310.0 | 959310.0 |
> | 963548.0 | 963548.0 | 963548.0 | 963548.0 |
> | 982209.0 | 982209.0 | 982209.0 | 982209.0 |
> | 997322.0 | 997322.0 | 997322.0 | 997322.0 |
> +------------+------------+------------+------------+
> 4 rows selected (0.136 seconds)
> {code}
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