KeyError when using Redshift

I’m trying to create line charts and time series charts with aggregates. In this case, I am summing up the column items sales over a date, day . However I keep getting this error

- [ x] I have checked the superset logs for python stacktraces and included it here as text if any

2018-06-28 12:07:29,604:INFO:root:Database.get_sqla_engine(). Masked URL: redshift+psycopg2://user:[e-mail]:5439/testdb
2018-06-28 12:07:30,077:DEBUG:root:[stats_logger] (incr) loaded_from_source
2018-06-28 12:07:30,077:ERROR:root:u'SUM(itemsales)'
Traceback (most recent call last):
  File "/Users/minhmai/envs/py2/lib/python2.7/site-packages/superset/views/core.py", line 1107, in generate_json
    payload = viz_obj.get_payload()
  File "/Users/minhmai/envs/py2/lib/python2.7/site-packages/superset/viz.py", line 329, in get_payload
    payload['data'] = self.get_data(df)
  File "/Users/minhmai/envs/py2/lib/python2.7/site-packages/superset/viz.py", line 580, in get_data
    values=values)
  File "/Users/minhmai/envs/py2/lib/python2.7/site-packages/pandas/core/frame.py", line 4468, in pivot_table
    margins_name=margins_name)
  File "/Users/minhmai/envs/py2/lib/python2.7/site-packages/pandas/core/reshape/pivot.py", line 58, in pivot_table
    raise KeyError(i)
KeyError: u'SUM(itemsales)'

A bit of digging saw that the column names become lower case when turned into a pandas data frame but the metric name is still capitalized, as shown by my logs above. I’ve set a trace and it’s exactly what I expected

(Pdb) l
585  	                records=pt.to_dict(orient='index'),
586  	                columns=list(pt.columns),
587  	                is_group_by=len(fd.get('groupby')) > 0,
588  	            )
589  	        except:
590  ->	            import pdb; pdb.post_mortem()
591
592
593  	class PivotTableViz(BaseViz):
594
595  	    """A pivot table view, define your rows, columns and metrics"""
(Pdb) values
[u'SUM(itemsales)']
(Pdb) df.head()
                __timestamp  sum(itemsales)
0 2018-06-15 00:00:00+00:00             0.0
1 2018-06-11 00:00:00+00:00             0.0
2 2018-06-13 00:00:00+00:00             0.0
3 2018-06-09 00:00:00+00:00             0.0
4 2018-06-07 00:00:00+00:00             0.0
(Pdb) self.metrics
[u'SUM(itemsales)']
(Pdb) df.columns
Index([u'__timestamp', u'sum(itemsales)'], dtype='object')

The error occurred at line 578

            pt = df.pivot_table(
                index=DTTM_ALIAS,
                columns=columns,
                values=values)

Make sure these boxes are checked before submitting your issue - thank you!

- [ x] I have reproduced the issue with at least the latest released version of superset - [ x] I have checked the issue tracker for the same issue and I haven’t found one similar

Superset version

superset==0.25.6

Expected results

I expect either the metrics to be all lower cased or that the column names of the results dataframe to match the form as the aggregate query

Actual results

The data frame has their column name lower cased and the metrics still retain the formatting.

Steps to reproduce

This is used on test data with a random numeric generator. I have seen this error in every case where I am using the SUM aggregation. The database is on Redshift and I have confirmed that I am using pandas==0.22.0.

I can push a fix to make the metrics lower cased or have the column name of the data frame match the metric but I’m not sure if that is the best way to approach this.

[wyndhblb]

Hi does it seem like this merge got clobbered :: https://github.com/apache/incubator-superset/commit/a165aec822e5014a99b6467ed6d3d87184e13bc4#diff-6519edc75f2440a575cb22492f401100?

[minh5]

Thanks, @villebro. I tested it out and it worked beautifully, I pushed up a PR.