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From "ASF GitHub Bot (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (FLINK-8558) Add unified format interfaces and format discovery
Date Mon, 09 Jul 2018 14:52:03 GMT

    [ https://issues.apache.org/jira/browse/FLINK-8558?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16537000#comment-16537000
] 

ASF GitHub Bot commented on FLINK-8558:
---------------------------------------

Github user pnowojski commented on a diff in the pull request:

    https://github.com/apache/flink/pull/6264#discussion_r200989972
  
    --- Diff: flink-connectors/flink-connector-kafka-base/src/test/java/org/apache/flink/streaming/connectors/kafka/KafkaTableSourceFactoryTestBase.java
---
    @@ -0,0 +1,175 @@
    +/*
    + * Licensed to the Apache Software Foundation (ASF) under one
    + * or more contributor license agreements.  See the NOTICE file
    + * distributed with this work for additional information
    + * regarding copyright ownership.  The ASF licenses this file
    + * to you under the Apache License, Version 2.0 (the
    + * "License"); you may not use this file except in compliance
    + * with the License.  You may obtain a copy of the License at
    + *
    + *     http://www.apache.org/licenses/LICENSE-2.0
    + *
    + * Unless required by applicable law or agreed to in writing, software
    + * distributed under the License is distributed on an "AS IS" BASIS,
    + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
    + * See the License for the specific language governing permissions and
    + * limitations under the License.
    + */
    +
    +package org.apache.flink.streaming.connectors.kafka;
    +
    +import org.apache.flink.api.common.serialization.DeserializationSchema;
    +import org.apache.flink.streaming.api.datastream.DataStreamSource;
    +import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
    +import org.apache.flink.streaming.api.functions.source.SourceFunction;
    +import org.apache.flink.streaming.connectors.kafka.config.StartupMode;
    +import org.apache.flink.streaming.connectors.kafka.internals.KafkaTopicPartition;
    +import org.apache.flink.table.api.TableSchema;
    +import org.apache.flink.table.api.Types;
    +import org.apache.flink.table.descriptors.Kafka;
    +import org.apache.flink.table.descriptors.Rowtime;
    +import org.apache.flink.table.descriptors.Schema;
    +import org.apache.flink.table.descriptors.TestTableSourceDescriptor;
    +import org.apache.flink.table.formats.utils.TestDeserializationSchema;
    +import org.apache.flink.table.formats.utils.TestTableFormat;
    +import org.apache.flink.table.sources.RowtimeAttributeDescriptor;
    +import org.apache.flink.table.sources.TableSource;
    +import org.apache.flink.table.sources.TableSourceFactoryService;
    +import org.apache.flink.table.sources.tsextractors.ExistingField;
    +import org.apache.flink.table.sources.wmstrategies.AscendingTimestamps;
    +import org.apache.flink.types.Row;
    +
    +import org.junit.Test;
    +
    +import java.util.Collections;
    +import java.util.HashMap;
    +import java.util.List;
    +import java.util.Map;
    +import java.util.Properties;
    +
    +import static org.junit.Assert.assertEquals;
    +import static org.mockito.Matchers.any;
    +import static org.mockito.Matchers.eq;
    +import static org.mockito.Mockito.mock;
    +import static org.mockito.Mockito.spy;
    +import static org.mockito.Mockito.verify;
    +import static org.mockito.Mockito.when;
    +
    +/**
    + * Abstract test base for {@link KafkaTableSourceFactory}.
    + */
    +public abstract class KafkaTableSourceFactoryTestBase {
    +
    +	@Test
    +	@SuppressWarnings("unchecked")
    +	public void testTableSource() {
    +
    +		// prepare parameters for Kafka table source
    +
    +		final TableSchema schema = TableSchema.builder()
    +			.field("fruit-name", Types.STRING())
    --- End diff --
    
    deduplication of values like `"fruit-name"` within a single test + self documenting code
that all of those occurrences are indeed and should be the same. Both help when debugging,
refactoring and extending the test in the future.


> Add unified format interfaces and format discovery
> --------------------------------------------------
>
>                 Key: FLINK-8558
>                 URL: https://issues.apache.org/jira/browse/FLINK-8558
>             Project: Flink
>          Issue Type: New Feature
>          Components: Streaming Connectors
>            Reporter: Timo Walther
>            Assignee: Timo Walther
>            Priority: Major
>              Labels: pull-request-available
>
> In the last release, we introduced a new module {{flink-formats}}. Currently only {{flink-avro}}
is located there but we will add more formats such as {{flink-json}}, {{flink-protobuf}},
and so on. For better separation of concerns we want decouple connectors from formats: e.g.,
remove {{KafkaAvroTableSource}} and {{KafkaJsonTableSource}}.
> A newly introduced {{FormatFactory}} will use Java service loaders to discovery available
formats in the classpath (similar to how file systems are discovered now). A {{Format}} will
provide a method for converting {{byte[]}} to target record type.



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