[
https://issues.apache.org/jira/browse/FLINK-9444?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16531189#comment-16531189
]
ASF GitHub Bot commented on FLINK-9444:
---------------------------------------
Github user twalthr commented on a diff in the pull request:
https://github.com/apache/flink/pull/6218#discussion_r199761646
--- Diff:
flink-formats/flink-avro/src/test/java/org/apache/flink/formats/avro/typeutils/AvroSchemaConverterTest.java
---
@@ -0,0 +1,71 @@
+/*
+ * 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.formats.avro.typeutils;
+
+import org.apache.flink.api.common.typeinfo.TypeInformation;
+import org.apache.flink.api.common.typeinfo.Types;
+import org.apache.flink.api.java.typeutils.RowTypeInfo;
+import org.apache.flink.formats.avro.generated.User;
+import org.apache.flink.types.Row;
+
+import org.junit.Test;
+
+import static org.junit.Assert.assertEquals;
+import static org.junit.Assert.assertTrue;
+
+/**
+ * Tests for {@link AvroSchemaConverter}.
+ */
+public class AvroSchemaConverterTest {
+
+ @Test
+ public void testAvroClassConversion() {
+ validateUserSchema(AvroSchemaConverter.convert(User.class));
+ }
+
+ @Test
+ public void testAvroSchemaConversion() {
+ final String schema = User.getClassSchema().toString(true);
+ validateUserSchema(AvroSchemaConverter.convert(schema));
+ }
+
+ private void validateUserSchema(TypeInformation<?> actual) {
+ final TypeInformation<Row> address = Types.ROW_NAMED(
+ new String[]{"num", "street", "city", "state", "zip"},
+ Types.INT, Types.STRING, Types.STRING, Types.STRING,
Types.STRING);
+
+ final TypeInformation<Row> user = Types.ROW_NAMED(
+ new String[] {"name", "favorite_number",
"favorite_color", "type_long_test",
--- End diff --
Actually, I'm a big fan of per line fields but it also blows up the code.
> KafkaAvroTableSource failed to work for map and array fields
> ------------------------------------------------------------
>
> Key: FLINK-9444
> URL: https://issues.apache.org/jira/browse/FLINK-9444
> Project: Flink
> Issue Type: Bug
> Components: Kafka Connector, Table API & SQL
> Affects Versions: 1.6.0
> Reporter: Jun Zhang
> Assignee: Jun Zhang
> Priority: Blocker
> Labels: patch, pull-request-available
> Fix For: 1.6.0
>
> Attachments: flink-9444.patch
>
>
> When some Avro schema has map/array fields and the corresponding TableSchema
> declares *MapTypeInfo/ListTypeInfo* for these fields, an exception will be
> thrown when registering the *KafkaAvroTableSource*, complaining like:
> Exception in thread "main" org.apache.flink.table.api.ValidationException:
> Type Map<String, Integer> of table field 'event' does not match with type
> GenericType<java.util.Map> of the field 'event' of the TableSource return
> type.
> at org.apache.flink.table.api.ValidationException$.apply(exceptions.scala:74)
> at
> org.apache.flink.table.sources.TableSourceUtil$$anonfun$validateTableSource$1.apply(TableSourceUtil.scala:92)
> at
> org.apache.flink.table.sources.TableSourceUtil$$anonfun$validateTableSource$1.apply(TableSourceUtil.scala:71)
> at
> scala.collection.IndexedSeqOptimized$class.foreach(IndexedSeqOptimized.scala:33)
> at scala.collection.mutable.ArrayOps$ofRef.foreach(ArrayOps.scala:186)
> at
> org.apache.flink.table.sources.TableSourceUtil$.validateTableSource(TableSourceUtil.scala:71)
> at
> org.apache.flink.table.plan.schema.StreamTableSourceTable.<init>(StreamTableSourceTable.scala:33)
> at
> org.apache.flink.table.api.StreamTableEnvironment.registerTableSourceInternal(StreamTableEnvironment.scala:124)
> at
> org.apache.flink.table.api.TableEnvironment.registerTableSource(TableEnvironment.scala:438)
--
This message was sent by Atlassian JIRA
(v7.6.3#76005)
