Table extraction doesn't select all columns

Help Studio
1

Hi
I’m encoutring a error when I’m trying to use extract table,
I’m not using CV, and my table count 50 columns, I start selecting one by one my column at some point
an error message appear, here below a video

Do you have any Idea what I’m doing wrong.

Thank you all

2

Hi @aminekacem

When you manually select many columns , the Data Extraction Wizard UI internally stores each column’s selector definition in memory.Typical reasons it crashes or throws an error after ~15 columns:

If you’re regularly working with large tables (40–50 columns):

Always start extraction with 9–10 columns, test if the selector is stable.
Then manually edit ExtractMetadata JSON to add remaining columns.
Save your JSON template for reuse — you can parametrize it.

Regards.

3

Since you’re not using Computer Vision

  1. Split the Extraction into Smaller Groups
    Instead of trying to define all 50 columns in one go, break the table extraction into smaller, manageable chunks:
  • Extract Columns 1 to 15.
  • Extract Columns 16 to 30.
  • Extract Columns 31 to 50.

Use three separate Extract Structured Data activities. After extraction, use a Join Data Tables activity based on a common, unique key like the ID or the first column to merge the three smaller tables back into one 50-column final table.

Cheers!