xiaozilong created FLINK-19291: ---------------------------------- 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! -- This message was sent by Atlassian Jira (v8.3.4#803005)