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ASF GitHub Bot commented on FLINK-3599: --------------------------------------- Github user ggevay commented on a diff in the pull request: https://github.com/apache/flink/pull/2211#discussion_r77987928 --- Diff: flink-core/src/main/java/org/apache/flink/api/java/typeutils/PojoTypeInfo.java --- @@ -70,10 +77,41 @@ private static final Pattern PATTERN_NESTED_FIELDS = Pattern.compile(REGEX_NESTED_FIELDS); private static final Pattern PATTERN_NESTED_FIELDS_WILDCARD = Pattern.compile(REGEX_NESTED_FIELDS_WILDCARD); + private static final Map<Class<?>, Class<? extends TypeSerializer>> customSerializers = new HashMap<>(); + private static final Map<Tuple2<ArrayList<Integer>, Class>, Class<? extends TypeComparator>> customComparators = + new HashMap<>(); + private final PojoField[] fields; private final int totalFields; + /** + * Register a custom serializer for a type. The precedence of the serializers + * is the following (highest to lowest): Kryo, Avro, Custom, Generated, Flink. + * The chosen serializer will be the first one from the list that is turned on. --- End diff -- I'm also not sure about putting "Custom" after "Kryo" and "Avro". The reason for having a custom serializer is kind of that I want to bypass all this mess. Or to reason from an other angle, why would I have a custom serializer, if it doesn't work, and Kryo has to take over? > GSoC: Code Generation in Serializers > ------------------------------------ > > Key: FLINK-3599 > URL: https://issues.apache.org/jira/browse/FLINK-3599 > Project: Flink > Issue Type: Improvement > Components: Type Serialization System > Reporter: Márton Balassi > Assignee: Gabor Horvath > Labels: gsoc2016, mentor > > The current implementation of the serializers can be a > performance bottleneck in some scenarios. These performance problems were > also reported on the mailing list recently [1]. > E.g. the PojoSerializer uses reflection for accessing the fields, which is > slow [2]. > For the complete proposal see [3]. > [1] > http://apache-flink-mailing-list-archive.1008284.n3.nabble.com/Tuple-performance-and-the-curious-JIT-compiler-td10666.html > [2] > https://github.com/apache/flink/blob/master/flink-core/src/main/java/org/apache/flink/api/java/typeutils/runtime/PojoSerializer.java#L369 > [3] > https://docs.google.com/document/d/1VC8lCeErx9kI5lCMPiUn625PO0rxR-iKlVqtt3hkVnk -- This message was sent by Atlassian JIRA (v6.3.4#6332)