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Posted to issues@flink.apache.org by GitBox <gi...@apache.org> on 2019/12/18 08:49:16 UTC

[GitHub] [flink] twalthr commented on a change in pull request #10503: [FLINK-15137][avro] Improve schema derivation for Avro format

twalthr commented on a change in pull request #10503: [FLINK-15137][avro] Improve schema derivation for Avro format
URL: https://github.com/apache/flink/pull/10503#discussion_r359209793
 
 

 ##########
 File path: flink-formats/flink-avro/src/main/java/org/apache/flink/formats/avro/AvroRowDeserializationSchema.java
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 @@ -218,67 +249,65 @@ private Object convertAvroType(Schema schema, TypeInformation<?> info, Object ob
 		switch (schema.getType()) {
 			case RECORD:
 				if (object instanceof IndexedRecord) {
-					return convertAvroRecordToRow(schema, (RowTypeInfo) info, (IndexedRecord) object);
+					return convertAvroRecordToRow(schema, (RowType) type, (IndexedRecord) object);
 				}
 				throw new IllegalStateException("IndexedRecord expected but was: " + object.getClass());
 			case ENUM:
 			case STRING:
 				return object.toString();
 			case ARRAY:
-				if (info instanceof BasicArrayTypeInfo) {
-					final TypeInformation<?> elementInfo = ((BasicArrayTypeInfo<?, ?>) info).getComponentInfo();
-					return convertToObjectArray(schema.getElementType(), elementInfo, object);
-				} else {
-					final TypeInformation<?> elementInfo = ((ObjectArrayTypeInfo<?, ?>) info).getComponentInfo();
-					return convertToObjectArray(schema.getElementType(), elementInfo, object);
-				}
+				LogicalType elementType = ((ArrayType) type).getElementType();
+				// transform to sql time conversion classes
+				DataType elementDataType = DataTypeUtils.transform(
 
 Review comment:
   Here were are in the hot path of the runtime code. We should avoid creating objects. IMHO this is another example that API classes (everything outside of planner) should use `DataType` instead. This adds no runtime overhead but only a bit of pre-flight overhead.

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