pvary commented on code in PR #14245:
URL: https://github.com/apache/iceberg/pull/14245#discussion_r2414429141
##########
flink/v2.1/flink/src/main/java/org/apache/iceberg/flink/source/RowDataToAvroGenericRecordConverter.java:
##########
@@ -41,17 +44,114 @@
public class RowDataToAvroGenericRecordConverter implements Function<RowData,
GenericRecord> {
private final RowDataToAvroConverters.RowDataToAvroConverter converter;
private final Schema avroSchema;
+ private final RowType rowType;
private RowDataToAvroGenericRecordConverter(RowType rowType, Schema
avroSchema) {
this.converter = RowDataToAvroConverters.createConverter(rowType);
this.avroSchema = avroSchema;
+ this.rowType = rowType;
}
@Override
public GenericRecord apply(RowData rowData) {
+ // Check if schema has timestamp-nanos fields
+ if (needsCustomConversion(avroSchema)) {
+ return convertWithNanos(rowData);
+ }
return (GenericRecord) converter.convert(avroSchema, rowData);
}
+ private boolean needsCustomConversion(Schema schema) {
+ for (Schema.Field field : schema.getFields()) {
+ if (field.schema().getLogicalType() instanceof
LogicalTypes.TimestampNanos) {
+ return true;
+ }
+ }
+ return false;
+ }
+
+ private GenericRecord convertWithNanos(RowData rowData) {
+ GenericRecord result = new GenericData.Record(avroSchema);
+
+ for (int i = 0; i < avroSchema.getFields().size(); i++) {
+ Schema.Field field = avroSchema.getFields().get(i);
+ if (rowData.isNullAt(i)) {
+ result.put(i, null);
+ } else if (field.schema().getLogicalType() instanceof
LogicalTypes.TimestampNanos) {
+ // Handle timestamp-nanos by converting TimestampData to long nanos
+ // Get precision from the rowType
+ int precision = 6; // default
+ if (rowType.getTypeAt(i).asSummaryString().contains("(9)")) {
+ precision = 9;
+ }
+ TimestampData timestampData = rowData.getTimestamp(i, precision);
+ long nanos =
+ timestampData.getMillisecond() * 1_000_000L +
timestampData.getNanoOfMillisecond();
Review Comment:
Why not do this in the `getFieldValue`?
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