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https://issues.apache.org/jira/browse/FLINK-8558?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16534887#comment-16534887
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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_r200658490
--- 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 {
--- End diff --
I'm not sure if the value of this test is big enough to pay of it's
maintenance. It seems like it's testing only whether the properties are
correctly passed and it's doing it so by actually coping/pasting production
from the factories like `Kafka011TableSourceFactory` to the
`Kafka011TableSourceFactoryTest#getKafkaTableSource`.
It more or less brings down to writing the same code twice and comparing
whether the bytes are the same :(
If you really think that factories should be tested, maybe this test should
be rewritten to perform assertions like:
```
assertEquals(expectedSchema, actualSource.getSchema());
```
?
> 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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