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Asked: 2026-05-27T05:32:27+00:00

I’ve got a table called datapoints with about 150 columns and 2600 rows. I

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I’ve got a table called datapoints with about 150 columns and 2600 rows. I know, 150 columns is too much, but I got this db after importing a csv and it is not possible to shrink the number of columns.

I have to get some statistical stuff out of the data. E.g. one question would be:
Give me the total number of fields (of all columns), which are null. Does somebody have any idea how I can do this efficiently?

For one column it isn’t a problem:

SELECT count(*) FROM datapoints tb1 where 'tb1'.'column1' is null;

But how can I solve this for all columns together, without doing it by hand for every column?

Best,
Michael

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1 Answer

  1. Editorial Team

    Building on Lamak’s idea, how about this idea:

    SELECT (N * COUNT(*)) - (
    COUNT(COLUMN_1) 
  + COUNT(COLUMN_2) 
  + ... 
  + COUNT(COLUMN_N)
)
FROM DATAPOINTS;

    where N is the number of columns. The trick will be in making the summation series of COUNT(column), but that shouldn’t be too terrible with a good text editor and/or spreadsheet.

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