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Multiple Choice

If a report shows 'FullName' is invalid or does not exist, what is a good next step to investigate?

When a report indicates a column is invalid or missing, the key step is to verify the actual source schema by querying the table’s metadata. By listing the real column names (using DESCRIBE TABLE, SHOW COLUMNS, or querying information_schema.columns), you can see exactly which fields exist and how they’re spelled. This reveals whether the column was renamed, is named differently (for example, FullName vs. Full_Name), or truly doesn’t exist, allowing you to correct the report or update the data source accordingly. Relying on logs might surface related errors but won’t confirm the current schema. Rerunning the report could reproduce the same issue if the underlying schema hasn’t changed. A data flow diagram can help trace data movement, but it may be out of date. The most reliable next step is checking the source table’s actual column definitions.

When a report indicates a column is invalid or missing, the key step is to verify the actual source schema by querying the table’s metadata. By listing the real column names (using DESCRIBE TABLE, SHOW COLUMNS, or querying information_schema.columns), you can see exactly which fields exist and how they’re spelled. This reveals whether the column was renamed, is named differently (for example, FullName vs. Full_Name), or truly doesn’t exist, allowing you to correct the report or update the data source accordingly.

Relying on logs might surface related errors but won’t confirm the current schema. Rerunning the report could reproduce the same issue if the underlying schema hasn’t changed. A data flow diagram can help trace data movement, but it may be out of date. The most reliable next step is checking the source table’s actual column definitions.