pentaho/pentaho-kettle · error · KettleException

AvroInput.Error.MalformedPathArray

AvroInput.Error.MalformedPathArray

Error message

AvroInput.Error.MalformedPathArray

What it means

The array-walking branch of convertToKettleValue ran out of path parts when it reached an ARRAY node: the field path terminated at the array without an index selector. The reader cannot pick an element and throws this KettleException.

Solutions

  1. Append an index selector: '$.tags[0]'.
  2. Use the '[*]' expansion to emit one row per element: '$.tags[*]'.
  3. If a scalar was intended, correct the path to a scalar leaf in the schema.

Example fix

// before
$.tags
// after
$.tags[0]
Defensive patterns

Strategy: validation

Validate before calling

// A path that reaches an ARRAY node must continue with [n] or [*]
if (fieldSchema.getType() == Schema.Type.ARRAY
    && !path.matches(".*\\[(\\d+|\\*)\\]$")) {
  throw new IllegalArgumentException("Array path needs an index or [*]: " + path);
}

Type guard

boolean arrayPathIndexed(String path, Schema fieldSchema) {
  return fieldSchema.getType() != Schema.Type.ARRAY
      || (path != null && path.matches(".*\\[(\\d+|\\*)\\].*$"));
}

Try / catch

try {
  Object v = reader.convertToKettleValue(...);
} catch (KettleException e) {
  if (e.getMessage().contains("MalformedPathArray")) {
    // append [index] or switch to [*] expansion
  } else throw e;
}

Prevention

When it happens

Trigger: A field path ends exactly at an array node (e.g. '$.tags' where tags is an array) with no '[n]' or '[*]' following, and no expansion handler is in play.

Common situations: Forgetting the index after an array name; schema changed a scalar field into an array; copy-pasting a path that stopped at the container.

Understand the failure class

Background: "Invalid ... format", "must be in format X", "does not look like a ..." — invalid argument format errors across CLI tools and libraries — this error's family across 17 libraries.

Related errors


AI-assisted analysis of pentaho/pentaho-kettle@f3058517a1 (2026-09-13). Data as JSON: /api/errors/38e045d9df318f3e. Report an issue: GitHub.

Appendix: source

Thrown at plugins/avro-format/core/src/main/java/org/pentaho/di/trans/steps/avro/input/AvroNestedReader.java:534

  /**
   * Processes an array at this point in the path.
   *
   * @param array         the array to process
   * @param s             the current schema at this point in the path
   * @param ignoreMissing true if null is to be returned for user fields that don't appear in the schema
   * @return the field value or null for out-of-bounds array indexes, non-existent map keys or unsupported avro types.
   * @throws KettleException if a problem occurs
   */
  public Object convertToKettleValue(AvroInputField avroInputField, GenericData.Array array, Schema s,
                                     Schema defaultSchema, boolean ignoreMissing )
    throws KettleException {

    if ( array == null ) {
      return null;
    }

    if ( avroInputField.getTempParts().size() == 0 ) {
      throw new KettleException( BaseMessages.getString( PKG, "AvroInput.Error.MalformedPathArray" ) );
    }

    String part = avroInputField.getTempParts().remove( 0 );
    if ( !( part.charAt( 0 ) == '[' ) ) {
      throw new KettleException( BaseMessages.getString( PKG, "AvroInput.Error.MalformedPathArray2", part ) );
    }

    String index = part.substring( 1, part.indexOf( ']' ) );
    int arrayI = 0;
    try {
      arrayI = Integer.parseInt( index.trim() );
    } catch ( NumberFormatException e ) {
      throw new KettleException( BaseMessages.getString( PKG, "AvroInput.Error.UnableToParseArrayIndex", index ) );
    }

    if ( part.indexOf( ']' ) < part.length() - 1 ) {
      // more dimensions to the array
      part = part.substring( part.indexOf( ']' ) + 1, part.length() );

View on GitHub (pinned to f3058517a1)