[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] 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] 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] 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

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] 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,

[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

[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] 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 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] 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] 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] 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