ChenDonghe created FLINK-9025:
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Summary: Problem with convert String to Row
Key: FLINK-9025
URL:
https://issues.apache.org/jira/browse/FLINK-9025 Project: Flink
Issue Type: Bug
Components: Java API
Reporter: ChenDonghe
when we convert json string into Row, and set type of filed in the row, code below:
{code:java}
// code placeholder
DataStream<String> stream = env.addSource(consumer.getInstance(sourceTopic, new SimpleStringSchema()).setStartFromLatest());
DataStream<Row> dataStreamRow = stream.map(new ConvertDataStream()).returns(typeinfo);
{code}
this convert process calls the copy function in RowSerializer class, code below:
{code:java}
// public final class RowSerializer extends TypeSerializer<Row>
@Override
public Row copy(Row from) {
int len = fieldSerializers.length;
if (from.getArity() != len) {
throw new RuntimeException("Row arity of from does not match serializers.");
}
Row result = new Row(len);
for (int i = 0; i < len; i++) {
Object fromField = from.getField(i);
if (fromField != null) {
Object copy = fieldSerializers[i].copy(fromField);
result.setField(i, copy);
} else {
result.setField(i, null);
}
}
return result;
}
{code}
the json string type message from kafka convert to the row type, in this process, RowSerrializer copy the from-row to a new result-row, but the type of result-row filed is Object type, for example, the first message from kafka filed0 is Integer type, the second message from kafka filed0 is Long type, if we set the filed0 is Long, we hope Integer can be compatible, but we got an exception : can not convert Interger to Long, so we hope RowSerrializer copy function can be more flexible, it can be act as a table, we can insert an Integer type value into Long type filed.
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