[GitHub] hughhhh opened a new pull request #4836: Refactoring on exploreReducer

hug opened a new pull request #4836: Refactoring on exploreReducer URL: https://github.com/apache/incubator-superset/pull/4836 Changed return statement to have es6 syntax insteas of `Object.assign()` function call @betodealmeida @mistercrunch

[GitHub] john-bodley opened a new pull request #4835: [setup] Dropping 3.4 and adding 3.6

john-bodley opened a new pull request #4835: [setup] Dropping 3.4 and adding 3.6 URL: https://github.com/apache/incubator-superset/pull/4835 Since `0.21.0` Pandas has dropped support for Python 3.4 which is now causing problems with Travis CI. I speculate the issue is only now surfacing

[GitHub] timifasubaa opened a new pull request #4834: [WIP] Load async sql lab early for Presto

timifasubaa opened a new pull request #4834: [WIP] Load async sql lab early for Presto URL: https://github.com/apache/incubator-superset/pull/4834 This PR enables sqllab to load queries early after the first 1K rows are available from Presto. When the query is loaded early, the user can

SLA in DAGs

Hi Devs, Is there any way to define DAG SLAs based on runtime rather than execution_time? I've multiple scenarios where I have to backfill my data and we get tons of SLA alerts. Ideally, I would like to monitor actual DAG run from start of runtime to end of DAG. Thanks, -Y

[GitHub] timifasubaa opened a new pull request #4833: [sqllab] Help sqllab forget query history

timifasubaa opened a new pull request #4833: [sqllab] Help sqllab forget query history URL: https://github.com/apache/incubator-superset/pull/4833 In the sqllab asynchronous polling logic, it looks through the query history and continues to poll if there is a query in the history that is

[GitHub] betodealmeida commented on issue #4819: Visualization for multiple line charts

betodealmeida commented on issue #4819: Visualization for multiple line charts URL: https://github.com/apache/incubator-superset/pull/4819#issuecomment-381724475 https://user-images.githubusercontent.com/1534870/38831144-595c318e-4173-11e8-8f45-dc63ad6852b1.png;>

[GitHub] SpyderRivera commented on issue #4725: [WIP] Add "Published" feature to dashboards

SpyderRivera commented on issue #4725: [WIP] Add "Published" feature to dashboards URL: https://github.com/apache/incubator-superset/pull/4725#issuecomment-381709077 I completely agree "Releasing the feature: Perhaps it'd be fine to just have a script that sets all dashboards to

[GitHub] timifasubaa commented on issue #4829: [import csv] ensure directory exists before saving csv file

timifasubaa commented on issue #4829: [import csv] ensure directory exists before saving csv file URL: https://github.com/apache/incubator-superset/pull/4829#issuecomment-381704752 @john-bodley Done This is an automated

[GitHub] betodealmeida commented on issue #4821: Fix time granularity-related issues

betodealmeida commented on issue #4821: Fix time granularity-related issues URL: https://github.com/apache/incubator-superset/pull/4821#issuecomment-381677303 Taking a look — thanks for fixing this! This is an automated

[GitHub] daniel5001 commented on issue #4725: [WIP] Add "Published" feature to dashboards

daniel5001 commented on issue #4725: [WIP] Add "Published" feature to dashboards URL: https://github.com/apache/incubator-superset/pull/4725#issuecomment-381639525 Hey guys, Any update on this merge? Would love to be able to roll this feature out. Thanks.

[GitHub] claycrosby commented on issue #4366: Add filters to dashboard in single slice without filter box view - interactive filters

claycrosby commented on issue #4366: Add filters to dashboard in single slice without filter box view - interactive filters URL: https://github.com/apache/incubator-superset/issues/4366#issuecomment-381558954 +1 would like to embed filters within individual slices

[GitHub] rhunwicks commented on issue #3302: Create a PandasDatasource

rhunwicks commented on issue #3302: Create a PandasDatasource URL: https://github.com/apache/incubator-superset/issues/3302#issuecomment-381543161 Having the migrations and requirements mixed in with the main Superset ones without ever merging this MR causes frequent merge conflicts.

[GitHub] rhunwicks commented on issue #3492: PandasConnector

rhunwicks commented on issue #3492: PandasConnector URL: https://github.com/apache/incubator-superset/pull/3492#issuecomment-381541387 Having the migrations and requirements mixed in with the main Superset ones without ever merging this MR causes frequent merge conflicts. Therefore, I am

[GitHub] rhunwicks closed pull request #3492: PandasConnector

rhunwicks closed pull request #3492: PandasConnector URL: https://github.com/apache/incubator-superset/pull/3492 This is a PR merged from a forked repository. As GitHub hides the original diff on merge, it is displayed below for the sake of provenance: As this is a foreign pull request

[GitHub] SanjayJosh commented on issue #1870: Unable to construct SQLAlchemy URI for Teradata which can read and load Cover views

SanjayJosh commented on issue #1870: Unable to construct SQLAlchemy URI for Teradata which can read and load Cover views URL: https://github.com/apache/incubator-superset/issues/1870#issuecomment-381500446 I did do pip install sqlalchemy-teradata , and then restart superset. However,

[GitHub] SanjayJosh commented on issue #1870: Unable to construct SQLAlchemy URI for Teradata which can read and load Cover views

SanjayJosh commented on issue #1870: Unable to construct SQLAlchemy URI for Teradata which can read and load Cover views URL: https://github.com/apache/incubator-superset/issues/1870#issuecomment-381500446 I did do pip install sqlalchemy-teradata , and then restart superset. However,

[GitHub] SanjayJosh commented on issue #1870: Unable to construct SQLAlchemy URI for Teradata which can read and load Cover views

SanjayJosh commented on issue #1870: Unable to construct SQLAlchemy URI for Teradata which can read and load Cover views URL: https://github.com/apache/incubator-superset/issues/1870#issuecomment-381500446 I did do pip install sqlalchemy-teradata , and then restart superset. However,