xiaozilong created FLINK-19291:
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             Summary: Meeting `SchemaParseException` when I use 
`AvroSchemaConverter` converts flink logical type
                 Key: FLINK-19291
                 URL: https://issues.apache.org/jira/browse/FLINK-19291
             Project: Flink
          Issue Type: Bug
          Components: Formats (JSON, Avro, Parquet, ORC, SequenceFile)
    Affects Versions: 1.11.0
            Reporter: xiaozilong


Hi, I use `AvroSchemaConverter` to converts flink logical type into an avro 
schema will be throw `SchemaParseException` when there are both row type and 
row array type


This is my simplified code

 
{code:java}
RowType rowType = (RowType) TableSchema.builder()
 .field("row", DataTypes.ROW(DataTypes.FIELD("string_field", 
DataTypes.STRING())))
 .field("row_array", DataTypes.ARRAY(DataTypes.ROW(DataTypes.FIELD("int_field", 
DataTypes.STRING()))))
 .build().toRowDataType().getLogicalType();
Schema schema = AvroSchemaConverter.convertToSchema(rowType);
System.out.println(schema);
{code}
 



it will throw

 

 
{code:java}
org.apache.avro.SchemaParseException: Can't redefine: 
row_1org.apache.avro.SchemaParseException: Can't redefine: row_1
 at org.apache.avro.Schema$Names.put(Schema.java:1128) at 
org.apache.avro.Schema$NamedSchema.writeNameRef(Schema.java:562) at 
org.apache.avro.Schema$RecordSchema.toJson(Schema.java:690) at 
org.apache.avro.Schema$ArraySchema.toJson(Schema.java:805) at 
org.apache.avro.Schema$UnionSchema.toJson(Schema.java:882) at 
org.apache.avro.Schema$RecordSchema.fieldsToJson(Schema.java:716) at 
org.apache.avro.Schema$RecordSchema.toJson(Schema.java:701) at 
org.apache.avro.Schema.toString(Schema.java:324) at 
org.apache.avro.Schema.toString(Schema.java:314) at 
java.lang.String.valueOf(String.java:2994) at 
java.io.PrintStream.println(PrintStream.java:821) at 
org.apache.flink.formats.avro.typeutils.AvroSchemaConverterTest.testRowTypeAvroSchemaConversion(AvroSchemaConverterTest.java:99)
 at com.intellij.rt.junit.JUnitStarter.main(JUnitStarter.java:58)
{code}
 

Thanks!

 

 



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