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ASF GitHub Bot commented on FLINK-6864: --------------------------------------- Github user greghogan commented on a diff in the pull request: https://github.com/apache/flink/pull/4574#discussion_r139185112 --- Diff: flink-core/src/main/java/org/apache/flink/api/java/typeutils/TypeExtractor.java --- @@ -1900,7 +1900,8 @@ private boolean isValidPojoField(Field f, Class<?> clazz, ArrayList<Type> typeHi ParameterizedType parameterizedType, TypeInformation<IN1> in1Type, TypeInformation<IN2> in2Type) { if (!Modifier.isPublic(clazz.getModifiers())) { - LOG.info("Class " + clazz.getName() + " is not public, cannot treat it as a POJO type. Will be handled as GenericType"); + LOG.info("Class " + clazz.getName() + " is not public, cannot treat it as a POJO type. " + + "Will be handled as GenericType, and may lose some serialization performance."); --- End diff -- What if we said something like "... is not public and cannot be processed as a POJO type. Please read the Flink documentation on "Data Types & Serialization" for details on the impact to performance." > Remove confusing "invalid POJO type" messages from TypeExtractor > ---------------------------------------------------------------- > > Key: FLINK-6864 > URL: https://issues.apache.org/jira/browse/FLINK-6864 > Project: Flink > Issue Type: Improvement > Components: Documentation, Type Serialization System > Reporter: Tzu-Li (Gordon) Tai > Assignee: Fang Yong > > When a user's type cannot be treated as a POJO, the {{TypeExtractor}} will > log warnings such as ".. must have a default constructor to be used as a > POJO.", " ... is not a valid POJO type because not all fields are valid POJO > fields." in the {{analyzePojo}} method. > These messages are often conceived as misleading for the user to think that > the job should have failed, whereas in fact in these cases Flink just > fallsback to Kryo and treat then as generic types. We should remove these > messages, and at the same time improve the type serialization docs at [1] to > explicitly inform what it means when Flink does / does not recognizes a user > type as a POJO. > [1] > https://ci.apache.org/projects/flink/flink-docs-release-1.3/dev/types_serialization.html#rules-for-pojo-types -- This message was sent by Atlassian JIRA (v6.4.14#64029)