question-mark
Stuck on an issue?

Lightrun Answers was designed to reduce the constant googling that comes with debugging 3rd party libraries. It collects links to all the places you might be looking at while hunting down a tough bug.

And, if you’re still stuck at the end, we’re happy to hop on a call to see how we can help out.

[Dataset]missing datatype/NULL in virtual dataset(?)

See original GitHub issue

Why if it is virtual, call /datasource/external_metadata/table/{id}/ some type is null

    {
        "name": "APPID",
        "type": "INT",
        "is_date": false
    },
    {
        "name": "INDEX1",
        "type": null,
        "is_date": false
    },
    {
        "name": "INDEX13",
        "type": null,
        "is_date": false
    },
    {
        "name": "AFFLISTSTKCODE",
        "type": "STRING",
        "is_date": false
    }

image but if it’s physical table it’s not null

Issue Analytics

  • State:open
  • Created 2 years ago
  • Comments:7 (3 by maintainers)

github_iconTop GitHub Comments

1reaction
junlincccommented, Aug 16, 2021

Looks like you are on an older version of Superset, can you please fill out the issue template and verify this is still an issue on Superset master?

@zhaoyongjie no actions until issues is validated.

0reactions
stale[bot]commented, Apr 19, 2022

This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions. For admin, please label this issue .pinned to prevent stale bot from closing the issue.

Read more comments on GitHub >

github_iconTop Results From Across the Web

How to Deal with Missing Data in Python | by Chaitanya Baweja
Marking missing values using isnull and notnull​​ In Pandas, we have two functions for marking missing values: isnull() : mark all NaN values...
Read more >
Data Types and Missing Values | Kaggle
Missing data ​​ Entries missing values are given the value NaN , short for "Not a Number". For technical reasons these NaN values...
Read more >
Handle Missing Data in Pyspark - Towards AI
The objective of this article is to understand various ways to handle missing or null values present in the dataset. A null means...
Read more >
How to Fill In Missing Data Using Python pandas - MakeUseOf
1. Use the fillna() Method. The fillna() function iterates through your dataset and fills all empty rows with a specified value. This could...
Read more >
Entity Framework Core: `SqlNullValueException: Data is Null ...
If you are trying to read some nullable data from the database, but your type is not nullable you can get this error....
Read more >

github_iconTop Related Medium Post

No results found

github_iconTop Related StackOverflow Question

No results found

github_iconTroubleshoot Live Code

Lightrun enables developers to add logs, metrics and snapshots to live code - no restarts or redeploys required.
Start Free

github_iconTop Related Reddit Thread

No results found

github_iconTop Related Hackernoon Post

No results found

github_iconTop Related Tweet

No results found

github_iconTop Related Dev.to Post

No results found

github_iconTop Related Hashnode Post

No results found