Column Content Conditions
A Column Content condition matches the dominant data format detected in a column’s sampled values (a sampled subset; see Sampling), useful for distinguishing columns that hold structured documents, archives, images, or encoded payloads from columns that hold plain values, such as classifying a column only when it contains JSON, PDF, or PNG content.
Fields
Section titled “Fields”- Content format(s) —
content_format(a single format) orcontent_formats(a list to match any of several). See the supported formats below. - Match Threshold — the share of the column’s non-null sampled values a single dominant format must account for, shown as a percentage in the UI (defaults to 80%) and stored as a fraction from 0.0-1.0 in the API/JSON (
dominance_threshold, default0.8). The condition passes only when that dominant format is also one of the selected formats. Because the threshold tests for a dominant format, a column split evenly between two formats may not pass at the default threshold even if one of them is selected.
Supported formats:
- Text / structured: JSON, XML, HTML, YAML, CSV, Base64, Plain text
- Documents: PDF, DOCX, XLSX, PPTX, Legacy MS Office, RTF
- Archives: ZIP, GZIP
- Images: PNG, JPEG, GIF, TIFF
- Columnar: Parquet
Example
Section titled “Example”This condition matches a column whose sampled values are dominantly JSON or XML:
{ "target": "CONTENT_TYPE", "content_formats": ["JSON", "XML"], "dominance_threshold": 0.8 }Behavior
Section titled “Behavior”Format detection runs on the raw sampled values, so binary signatures are preserved. Empty and all-null columns are handled without error.
Availability
Section titled “Availability”Column Content evaluates on Snowflake ALTR Native jobs using ALTR Hosted processing, on OLTP jobs, and on Databricks jobs with a collection attached (the ALTR Native option). It doesn’t evaluate on Snowflake In-Warehouse jobs. Content detection requires ALTR Hosted processing, the same constraint as Google DLP. See Classification Processing Location for the full picture.