When rescuedDataColumn is used in PERMISSIVE mode, the following rules apply to corrupt records: Only corrupt records-that is, incomplete or malformed CSV-are dropped or throw errors. When used together with rescuedDataColumn, data type mismatches do not cause records to be dropped in DROPMALFORMED mode or throw an error in FAILFAST mode.
The CSV parser supports three modes when parsing records: PERMISSIVE, DROPMALFORMED, and FAILFAST. You can enable the rescued data column by setting the option rescuedDataColumn to a column name when reading data, such as _rescued_data with ("rescuedDataColumn", "_rescued_data").format("csv").load(). To remove the source file path from the rescued data column, you can set the SQL configuration (".filePath.enabled", "false"). The rescued data column is returned as a JSON blob containing the columns that were rescued, and the source file path of the record (the source file path is available in Databricks Runtime 8.3 and above). Has a case mismatch with the field names in the provided schema. When using the PERMISSIVE mode, you can enable the rescued data column to capture any data that wasn’t parsed because one or more fields in a record have one of the following issues:ĭoes not match the data type of the provided schema. This feature is supported in Databricks Runtime 8.3 (Unsupported) and above.
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