apache/beam · error · IllegalArgumentException
Column headers should be supplied when delimiter is present.
Error message
Column headers should be supplied when delimiter is present.
What it means
The mirror validation of [1108]: if a columnDelimiter is set but headerColumns are not, the builder throws IllegalArgumentException because a delimiter without headers is meaningless/ambiguous for the table inspection configuration.
Solutions
- Add .setHeaderColumns(ImmutableList.of(...)) matching your data's columns.
- Or remove setColumnDelimiter if headers are not used.
- Supply both options together from validated pipeline options.
Example fix
// before
.setColumnDelimiter(",")
.build();
// after
.setColumnDelimiter(",")
.setHeaderColumns(ImmutableList.of("name","ssn"))
.build(); Defensive patterns
Strategy: validation
Validate before calling
if (columnDelimiter != null && headerColumns == null) throw new IllegalArgumentException("headerColumns required with columnDelimiter"); Prevention
- Always set headerColumns and columnDelimiter as a pair
- Centralize DLP options building in one validated helper
When it happens
Trigger: Calling .setColumnDelimiter(...) without calling .setHeaderColumns(...) before build().
Common situations: Removing the header list during refactoring while keeping the delimiter; assuming headers are inferred from data.
Understand the failure class
Background: "is required", "must be set", "missing required field": configuration validation errors across open-source libraries — this error's family across 36 libraries.
Related errors
- Column delimiter should be set if headers are present.
- Either deidentifyConfig or deidentifyTemplateName need to…
- Allow list file does not exist
- Batch size is too large! It should be smaller or equal than
- Batch size is too large! It should be smaller or equal than
AI-assisted analysis of apache/beam@12126d8942 (2026-09-13).
Data as JSON: /api/errors/198dc8deeeb7cafa.
Report an issue: GitHub.
Appendix: source
Thrown at sdks/java/extensions/ml/src/main/java/org/apache/beam/sdk/extensions/ml/DLPDeidentifyText.java:179
if (dlpDeidentifyText.getDeidentifyConfig() == null
&& dlpDeidentifyText.getDeidentifyTemplateName() == null) {
throw new IllegalArgumentException(
"Either deidentifyConfig or deidentifyTemplateName need to be set!");
}
if (dlpDeidentifyText.getBatchSizeBytes() > DLP_PAYLOAD_LIMIT_BYTES) {
throw new IllegalArgumentException(
String.format(
"Batch size is too large! It should be smaller or equal than %d.",
DLP_PAYLOAD_LIMIT_BYTES));
}
if (dlpDeidentifyText.getColumnDelimiter() == null
&& dlpDeidentifyText.getHeaderColumns() != null) {
throw new IllegalArgumentException(
"Column delimiter should be set if headers are present.");
}
if (dlpDeidentifyText.getHeaderColumns() == null
&& dlpDeidentifyText.getColumnDelimiter() != null) {
throw new IllegalArgumentException(
"Column headers should be supplied when delimiter is present.");
}
return dlpDeidentifyText;
}
}
public static DLPDeidentifyText.Builder newBuilder() {
return new AutoValue_DLPDeidentifyText.Builder();
}
/**
* The transform converts the contents of input PCollection into {@link Table.Row}s and then calls
* Cloud DLP service to perform the deidentification according to provided settings.
*
* @param input input PCollection
* @return PCollection after transformations
*/
@OverrideView on GitHub (pinned to 12126d8942)