@Override
public void writeOmittedField(String fieldName) throws IOException {
// basically combination of "writeFieldName()" and "writeNull()"
if (_writeContext.writeFieldName(fieldName) == JsonWriteContext.STATUS_EXPECT_VALUE) {
_reportError("Can not skip a field, expecting a value");
}
// Hmmh. Should we require a match? Actually, let's use logic: if field found,
// assumption is we must add a placeholder; if not, we can merely ignore
CsvSchema.Column col = _schema.column(fieldName);
if (col == null) {
// assumed to have been removed from schema too
} else {
// and all we do is just note index to use for following value write
_nextColumnByName = col.getIndex();
// We can basically copy what 'writeNull()' does...
_verifyValueWrite("skip positional value due to filtering");
_writer.write(_columnIndex(), "");
}
}
private final void _writeFieldName(String name) throws IOException {
// just find the matching index -- must have schema for that
if (_schema == null) {
// not a low-level error, so:
_reportMappingError("Unrecognized column '" + name + "', can not resolve without CsvSchema");
}
// note: we are likely to get next column name, so pass it as hint
CsvSchema.Column col = _schema.column(name, _nextColumnByName + 1);
if (col == null) {
if (isEnabled(JsonGenerator.Feature.IGNORE_UNKNOWN)) {
_skipValue = true;
_nextColumnByName = -1;
return;
}
// not a low-level error, so:
_reportMappingError(
"Unrecognized column '" + name + "': known columns: " + _schema.getColumnDesc());
}
_skipValue = false;
// and all we do is just note index to use for following value write
_nextColumnByName = col.getIndex();
}
