---
title: BG_CorruptedRecord
description: BG_CorruptedRecord is the column name that a CSV Stage passes to the file reader for records it cannot parse.
---

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# BG\_CorruptedRecord

**Applies to**  
Platform: Databricks · Fabric Lakehouse  
Architecture: Stage

`BG_CorruptedRecord` is the column name that a CSV Stage passes to the file reader for records it cannot parse. It exists only when the CSV option Mode of the source is `PERMISSIVE`.

### Objects that carry it

Stage in the file Stage generators for Databricks and Fabric Lakehouse, only in the Stage table. The term is created with the Stage, but the column is generated only when the source object has Mode set to `PERMISSIVE`. With the default `FAILFAST` the Stage table has no such column. You do not map it; the generator fills it.

### Value

The Stage loader passes the column name to the CSV reader as the option `columnNameOfCorruptRecord`, together with `mode` `PERMISSIVE`. How the reader handles malformed records in this mode is described in the [Apache Spark CSV documentation](https://spark.apache.org/docs/latest/sql-data-sources-csv.html).

### Data type

`string` on both platforms. The column is nullable.

### Example

The source `CUSTOMER` of a CSV Stage on Databricks has Mode `PERMISSIVE`. The Stage table gets the column:

```
CREATE OR REPLACE TABLE ... `stg_st_customer` (
     `bg_sourcefilepath` String NOT NULL
    ,`bg_corruptedrecord` String
    ...
```

The loader reads the files with these options:

```
.option('mode', 'PERMISSIVE') \
.option('columnNameOfCorruptRecord', 'bg_corruptedrecord') \
```

### Related articles

- Reference: [BG\_SourceFilePath](https://knowledge.bigenius-x.com/bg_sourcefilepath?hsLang=en)
- See also: 
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    - Fabric Lakehouse: [Stage Files](https://knowledge.bigenius-x.com/fabric-lakehouse-stage-files-2.0?hsLang=en)

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