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Posted to notifications@superset.apache.org by GitBox <gi...@apache.org> on 2021/10/05 07:41:22 UTC

[GitHub] [superset] rumbin opened a new issue #16975: [box plot] INT/NUMERIC types → DB engine Error, No numeric types to aggregate

rumbin opened a new issue #16975:
URL: https://github.com/apache/superset/issues/16975


   While the ECharts Box Plot works with numeric columns of type FLOAT, a "no numeric types to aggregate" error is thrown for INT and NUMERIC/NUMBER(n,m) types.
   
   #### How to reproduce the bug
   
   1. Create a minimal example query in SQLLab and run it.
   ```
   -- on Snowlake:
   SELECT 
     'a' as series
     ,1 as int_value
     ,1.1::number(10,5) as numeric_value
     ,1.1::float as float_value
     ,current_timestamp as ts
   
   
   -- on Postgres:
   SELECT 
     'a' as series
     ,1 as int_value
     ,1.1::numeric as numeric_value
     ,1.1::float as float_value
     ,current_timestamp as ts
   
   ```
   2. Click **EXPLORE** for visualizing it.
   3. Choose **Box Plot** as visualization type.
   4. Use **ts** as time column (as suggested by default).
   5. Create simple metrics of type AVG on each of the value columns, int_value, numeric_value, float_value, respectively and **RUN** the query in between.
   
   
   ### Expected results
   
   All of the three columns of different numeric dtypes should be visualizable as Box Plot.
   
   
   ### Actual results
   1. The FLOAT type column (float_value) works; it results in a Box Plot chart being displayed.
   2. The INT and NUMERIC type columns throw an error: **DB engine Error. No numeric types to aggregate**
   
   Further tracing:  
   I tested different simple metrics for the different dtypes:
   * float: all simple metrics are fine
   * int: 
      * AVG is bad
      * SUM, MIN, MAX is fine
      * COUNT, CUNT DISTINCT is fine
   * numeric/number(n,m):
      * AVG, MIN, MAX, SUM is bad
      * COUNT, CUNT DISTINCT is fine
   
   #### Screenshots/Screencasts
   ![image](https://user-images.githubusercontent.com/1220356/135979706-e9a6d7a4-2cb6-44e9-a8e9-2849102496fe.png)
   
   
   ### Environment
   
   - browser type and version: Chrome 93.0.4577.63
   - superset version: 1.3.1, installed via pip
   - python version: 3.8.11
   - node.js version: v4.6.1
   - feature flags active:
   ```
       "THUMBNAILS": True,
       "ALERT_REPORTS": True,
       "ALERTS_ATTACH_REPORTS": True,
       "SQLLAB_BACKEND_PERSISTENCE": True,
       "ENABLE_TEMPLATE_PROCESSING": True,                                                                 
       "DASHBOARD_NATIVE_FILTERS": True, 
       "DASHBOARD_CROSS_FILTERS": True,
       "DASHBOARD_NATIVE_FILTERS_SET": True,
       "ENABLE_EXPLORE_DRAG_AND_DROP": True,
       "DASHBOARD_CACHE": True     
   ```
   
   ### Checklist
   
   Make sure to follow these steps before submitting your issue - thank you!
   
   - [ x] I have checked the superset logs for python stacktraces and included it here as text if there are any.
   - [ 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.
   
   ### Additional context
   
   ´pip freeze´
   
   ```
   aiohttp==3.7.4.post0
   alembic==1.7.3
   amqp==2.6.1
   apache-superset==1.3.1
   apispec==3.3.2
   asn1crypto==1.4.0
   async-timeout==3.0.1
   attrs==21.2.0
   azure-common==1.1.27
   azure-core==1.18.0
   azure-storage-blob==12.9.0
   Babel==2.9.1
   backoff==1.11.1
   billiard==3.6.4.0
   bleach==3.3.1
   boto3==1.18.51
   botocore==1.21.51
   Brotli==1.0.9
   cachelib==0.1.1
   cachetools==4.2.4
   celery==4.4.7
   certifi==2021.5.30
   cffi==1.14.6
   chardet==4.0.0
   charset-normalizer==2.0.6
   click==7.1.2
   cmdstanpy==0.9.68
   colorama==0.4.4
   convertdate==2.3.2
   cron-descriptor==1.2.24
   croniter==1.0.15
   cryptography==3.4.8
   cx-Oracle==8.2.1
   cycler==0.10.0
   Cython==0.29.24
   defusedxml==0.7.1
   deprecation==2.1.0
   dnspython==2.1.0
   elasticsearch==7.13.4
   elasticsearch-dbapi==0.2.6
   email-validator==1.1.3
   ephem==4.1
   et-xmlfile==1.1.0
   Flask==1.1.4
   Flask-AppBuilder==3.3.3
   Flask-Babel==1.0.0
   Flask-Caching==1.10.1
   Flask-Compress==1.10.1
   Flask-JWT-Extended==3.25.1
   Flask-Login==0.4.1
   Flask-Migrate==3.1.0
   Flask-OpenID==1.3.0
   Flask-SQLAlchemy==2.5.1
   flask-talisman==0.8.1
   Flask-WTF==0.14.3
   future==0.18.2
   geographiclib==1.52
   geopy==2.2.0
   gevent==21.8.0
   google-api-core==2.0.1
   google-auth==2.2.1
   google-cloud-bigquery==2.27.1
   google-cloud-core==2.0.0
   google-crc32c==1.2.0
   google-resumable-media==2.0.3
   googleapis-common-protos==1.53.0
   graphlib-backport==1.0.3
   greenlet==1.1.2
   grpcio==1.41.0
   gunicorn==20.0.4
   hdbcli==2.10.13
   holidays==0.10.3
   humanize==3.11.0
   idna==3.2
   importlib-resources==5.2.2
   isodate==0.6.0
   itsdangerous==1.1.0
   Jinja2==2.11.3
   jmespath==0.10.0
   jsonschema==3.2.0
   kiwisolver==1.3.2
   kombu==4.6.11
   korean-lunar-calendar==0.2.1
   LunarCalendar==0.0.9
   Mako==1.1.5
   Markdown==3.3.4
   MarkupSafe==2.0.1
   marshmallow==3.13.0
   marshmallow-enum==1.5.1
   marshmallow-sqlalchemy==0.23.1
   matplotlib==3.4.3
   msgpack==1.0.2
   msrest==0.6.21
   multidict==5.1.0
   numpy==1.21.2
   oauthlib==3.1.1
   openpyxl==3.0.9
   oscrypto==1.2.1
   packaging==21.0
   pandas==1.2.5
   parsedatetime==2.6
   pgsanity==0.2.9
   Pillow==8.3.2
   polyline==1.4.0
   prison==0.2.1
   prophet==1.0
   proto-plus==1.19.2
   protobuf==3.18.0
   psycopg2-binary==2.8.6
   pyarrow==4.0.1
   pyasn1==0.4.8
   pyasn1-modules==0.2.8
   pybigquery==0.10.2
   pycparser==2.20
   pycryptodomex==3.10.4
   pyhdb==0.3.4
   PyJWT==1.7.1
   PyMeeus==0.5.11
   pyOpenSSL==20.0.1
   pyparsing==2.4.7
   pyrsistent==0.18.0
   pystan==2.18.0.0
   python-dateutil==2.8.2
   python-dotenv==0.19.0
   python-geohash==0.8.5
   python-ldap==3.3.1
   python3-openid==3.2.0
   pytz==2021.1
   PyYAML==5.4.1
   redis==3.5.3
   requests==2.26.0
   requests-oauthlib==1.3.0
   rsa==4.7.2
   s3transfer==0.5.0
   selenium==3.141.0
   setuptools-git==1.2
   simplejson==3.17.5
   six==1.16.0
   slackclient==2.5.0
   snowflake-connector-python==2.6.2
   snowflake-sqlalchemy==1.2.4
   SQLAlchemy==1.3.24
   sqlalchemy-hana==0.5.0
   SQLAlchemy-Utils==0.36.8
   sqlparse==0.3.0
   tabulate==0.8.9
   tqdm==4.62.3
   typing-extensions==3.10.0.2
   ujson==4.2.0
   urllib3==1.26.7
   vine==1.3.0
   webencodings==0.5.1
   Werkzeug==1.0.1
   WTForms==2.3.3
   WTForms-JSON==0.3.3
   xlrd==2.0.1
   yarl==1.6.3
   zipp==3.6.0
   zope.event==4.5.0
   zope.interface==5.4.0
   ```
   
   There is no stack trace in the superset.log available.


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[GitHub] [superset] villebro commented on issue #16975: [box plot] INT/NUMERIC types → DB engine Error, No numeric types to aggregate

Posted by GitBox <gi...@apache.org>.
villebro commented on issue #16975:
URL: https://github.com/apache/superset/issues/16975#issuecomment-1018545008


   Repro'd a variation of this on master


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[GitHub] [superset] rumbin commented on issue #16975: [box plot] INT/NUMERIC types → DB engine Error, No numeric types to aggregate

Posted by GitBox <gi...@apache.org>.
rumbin commented on issue #16975:
URL: https://github.com/apache/superset/issues/16975#issuecomment-1018462773


   Update: This issue still exists in Superset 1.4


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[GitHub] [superset] villebro commented on issue #16975: [box plot] INT/NUMERIC types → DB engine Error, No numeric types to aggregate

Posted by GitBox <gi...@apache.org>.
villebro commented on issue #16975:
URL: https://github.com/apache/superset/issues/16975#issuecomment-1018627141


   That's interesting - I saw that numpy has been bumped from 1.19.4 to 1.21.1 since 1.0.1, but I tried downgrading to that and the error is still the same. When I downgraded Pandas to 1.2.5 the error message changed, but it's still an error:
   
   ![image](https://user-images.githubusercontent.com/33317356/150555955-5f3a26a5-743e-4f16-b3a7-37e2bea1b9bc.png)
   
   Anyway, this should be a simple fix by converting `Double` to `float`, as we probably don't need the "correctly-rounded" types here - it's mostly a question of doing the conversion in the best possible place. Also, I noticed that the data type of `numeric_value` on Postgres isn't identified correctly, so that should also be fixed.
   
   I suggest flagging this issue for 1.4.1


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[GitHub] [superset] villebro edited a comment on issue #16975: [box plot] INT/NUMERIC types → DB engine Error, No numeric types to aggregate

Posted by GitBox <gi...@apache.org>.
villebro edited a comment on issue #16975:
URL: https://github.com/apache/superset/issues/16975#issuecomment-1018627141


   That's interesting - I saw that numpy has been bumped from 1.19.4 to 1.21.1 since 1.0.1, but I tried downgrading to that and the error is still the same. When I downgraded Pandas to 1.2.5 the error message changed, but it's still an error:
   
   ![image](https://user-images.githubusercontent.com/33317356/150555955-5f3a26a5-743e-4f16-b3a7-37e2bea1b9bc.png)
   
   Anyway, this should be a simple fix by converting `Double` to `float`, as we probably don't need the "correctly-rounded" types here - it's mostly a question of doing the conversion in the best possible place. Also, I noticed that the data type of `numeric_value` on Postgres isn't identified correctly, so that should also be fixed.
   
   ![image](https://user-images.githubusercontent.com/33317356/150556626-7a77dd7e-65a5-4328-a0a3-9615011a1de3.png)
   
   I suggest flagging this issue for 1.4.1


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[GitHub] [superset] villebro edited a comment on issue #16975: [box plot] INT/NUMERIC types → DB engine Error, No numeric types to aggregate

Posted by GitBox <gi...@apache.org>.
villebro edited a comment on issue #16975:
URL: https://github.com/apache/superset/issues/16975#issuecomment-1018627141


   That's interesting - I saw that numpy has been bumped from 1.19.4 to 1.21.1 since 1.0.1, but I tried downgrading to that and the error is still the same. When I downgraded Pandas to 1.2.5 the error message changed, but it's still an error:
   
   (Pandas 1.3.4)
   ![image](https://user-images.githubusercontent.com/33317356/150560565-d5f0c474-e2e9-4c39-a973-038551f1452f.png)
   
   (Pandas 1.2.5)
   ![image](https://user-images.githubusercontent.com/33317356/150555955-5f3a26a5-743e-4f16-b3a7-37e2bea1b9bc.png)
   
   Anyway, this should be a simple fix by converting `Double` to `float`, as we probably don't need the "correctly-rounded" types here - it's mostly a question of doing the conversion in the best possible place. Also, I noticed that the data type of `numeric_value` on Postgres isn't identified correctly, so that should also be fixed.
   
   ![image](https://user-images.githubusercontent.com/33317356/150556626-7a77dd7e-65a5-4328-a0a3-9615011a1de3.png)
   
   I suggest flagging this issue for 1.4.1


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[GitHub] [superset] junlincc commented on issue #16975: [box plot] INT/NUMERIC types → DB engine Error, No numeric types to aggregate

Posted by GitBox <gi...@apache.org>.
junlincc commented on issue #16975:
URL: https://github.com/apache/superset/issues/16975#issuecomment-937073864


   Thank you @rumbin for detailed issue filing, which is really helpful. 
   
   @villebro , please help @stephenLYZ to work on a fix. I don't think it's a regression, did we not support numeric type before? 
   
   


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[GitHub] [superset] junlincc commented on issue #16975: [box plot] INT/NUMERIC types → DB engine Error, No numeric types to aggregate

Posted by GitBox <gi...@apache.org>.
junlincc commented on issue #16975:
URL: https://github.com/apache/superset/issues/16975#issuecomment-937073864


   Thank you @rumbin for detailed issue filing, which is really helpful. 
   
   @villebro , please help @stephenLYZ to work on a fix. I don't think it's a regression, did we not support numeric type before? 
   
   


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[GitHub] [superset] rumbin commented on issue #16975: [box plot] INT/NUMERIC types → DB engine Error, No numeric types to aggregate

Posted by GitBox <gi...@apache.org>.
rumbin commented on issue #16975:
URL: https://github.com/apache/superset/issues/16975#issuecomment-1018591371


   Not sure if the numpy issue is the culprit.
   On our Superset 1.0.1 deployment I cannot reproduce this bug. On 1.3.2 it is there and on 1.4, too.


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[GitHub] [superset] rumbin commented on issue #16975: [box plot] INT/NUMERIC types → DB engine Error, No numeric types to aggregate

Posted by GitBox <gi...@apache.org>.
rumbin commented on issue #16975:
URL: https://github.com/apache/superset/issues/16975#issuecomment-1018882178


   @villebro For comparison: The 1.0.1 deployment where the issue is not present has the folowing `pip freeze`:
   
   ```
   aiohttp==3.7.4.post0
   alembic==1.5.8
   amqp==2.6.1
   apache-superset==1.0.1
   apispec==3.3.2
   asn1crypto==1.4.0
   async-timeout==3.0.1
   attrs==20.3.0
   azure-common==1.1.26
   azure-core==1.12.0
   azure-storage-blob==12.8.0
   Babel==2.9.0
   backoff==1.10.0
   billiard==3.6.3.0
   bleach==3.3.0
   boto3==1.17.38
   botocore==1.20.38
   Brotli==1.0.9
   cachelib==0.1.1
   cachetools==4.2.1
   celery==4.4.7
   certifi==2020.12.5
   cffi==1.14.5
   chardet==3.0.4
   click==7.1.2
   cmdstanpy==0.9.5
   colorama==0.4.4
   contextlib2==0.6.0.post1
   convertdate==2.3.2
   cron-descriptor==1.2.24
   croniter==1.0.10
   cryptography==3.4.7
   cx-Oracle==8.1.0
   cycler==0.10.0
   Cython==0.29.22
   decorator==4.4.2
   defusedxml==0.7.1
   dnspython==2.1.0
   elasticsearch==7.12.0
   elasticsearch-dbapi==0.2.1
   email-validator==1.1.2
   ephem==3.7.7.1
   fbprophet==0.7.1
   Flask==1.1.2
   Flask-AppBuilder==3.2.1
   Flask-Babel==1.0.0
   Flask-Caching==1.10.1
   Flask-Compress==1.9.0
   Flask-JWT-Extended==3.25.1
   Flask-Login==0.4.1
   Flask-Migrate==2.7.0
   Flask-OpenID==1.2.5
   Flask-SQLAlchemy==2.5.1
   flask-talisman==0.7.0
   Flask-WTF==0.14.3
   future==0.18.2
   geographiclib==1.50
   geopy==2.1.0
   gevent==21.1.2
   google-api-core==1.26.2
   google-auth==1.28.0
   google-cloud-bigquery==2.13.1
   google-cloud-core==1.6.0
   google-crc32c==1.1.2
   google-resumable-media==1.2.0
   googleapis-common-protos==1.53.0
   greenlet==1.0.0
   grpcio==1.36.1
   gunicorn==20.0.4
   hdbcli==2.7.26
   holidays==0.10.3
   humanize==3.3.0
   idna==2.10
   importlib-metadata==3.7.3
   isodate==0.6.0
   itsdangerous==1.1.0
   Jinja2==2.11.3
   jmespath==0.10.0
   jsonschema==3.2.0
   kiwisolver==1.3.1
   kombu==4.6.11
   korean-lunar-calendar==0.2.1
   LunarCalendar==0.0.9
   Mako==1.1.4
   Markdown==3.3.4
   MarkupSafe==1.1.1
   marshmallow==3.10.0
   marshmallow-enum==1.5.1
   marshmallow-sqlalchemy==0.23.1
   matplotlib==3.4.0
   msgpack==1.0.2
   msrest==0.6.21
   multidict==5.1.0
   numpy==1.20.1
   oauthlib==3.1.0
   oscrypto==1.2.1
   packaging==20.9
   pandas==1.1.5
   parsedatetime==2.6
   pathlib2==2.3.5
   pgsanity==0.2.9
   Pillow==8.1.2
   polyline==1.4.0
   prison==0.1.3
   proto-plus==1.18.1
   protobuf==3.15.6
   psycopg2-binary==2.8.6
   py==1.10.0
   pyarrow==1.0.1
   pyasn1==0.4.8
   pyasn1-modules==0.2.8
   pybigquery==0.5.0
   pycparser==2.20
   pycryptodomex==3.10.1
   pyhdb==0.3.4
   PyJWT==1.7.1
   PyMeeus==0.5.11
   pyOpenSSL==19.1.0
   pyparsing==2.4.7
   pyrsistent==0.17.3
   pystan==2.18.0.0
   python-dateutil==2.8.1
   python-dotenv==0.15.0
   python-editor==1.0.4
   python-geohash==0.8.5
   python-ldap==3.3.1
   python3-openid==3.2.0
   pytz==2021.1
   PyYAML==5.4.1
   redis==3.5.3
   requests==2.25.1
   requests-oauthlib==1.3.0
   retry==0.9.2
   rsa==4.7.2
   s3transfer==0.3.6
   selenium==3.141.0
   setuptools-git==1.2
   simplejson==3.17.2
   six==1.15.0
   slackclient==2.5.0
   snowflake-connector-python==2.4.1
   snowflake-sqlalchemy==1.2.4
   SQLAlchemy==1.3.23
   sqlalchemy-hana==0.5.0
   SQLAlchemy-Utils==0.36.8
   sqlparse==0.3.0
   tqdm==4.59.0
   typing-extensions==3.7.4.3
   urllib3==1.26.4
   vine==1.3.0
   webencodings==0.5.1
   Werkzeug==1.0.1
   WTForms==2.3.3
   WTForms-JSON==0.3.3
   yarl==1.6.3
   zipp==3.4.1
   zope.event==4.5.0
   zope.interface==5.3.0
   
   ```


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[GitHub] [superset] villebro commented on issue #16975: [box plot] INT/NUMERIC types → DB engine Error, No numeric types to aggregate

Posted by GitBox <gi...@apache.org>.
villebro commented on issue #16975:
URL: https://github.com/apache/superset/issues/16975#issuecomment-1018556661


   This appears to be the culprit: https://github.com/numpy/numpy/issues/6339


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