aiwenmo opened a new issue, #5513: URL: https://github.com/apache/hudi/issues/5513
**_Tips before filing an issue_** - Have you gone through our [FAQs](https://hudi.apache.org/learn/faq/)? - Join the mailing list to engage in conversations and get faster support at [email protected]. - If you have triaged this as a bug, then file an [issue](https://issues.apache.org/jira/projects/HUDI/issues) directly. **Describe the problem you faced** org.apache.hudi.org.apache.avro.AvroRuntimeException: Not a valid schema field. **To Reproduce** Steps to reproduce the behavior: 1.Some relevant codes are shown below. ` public void addSink( StreamExecutionEnvironment env, DataStream<RowData> rowDataDataStream, Table table, List<String> columnNameList, List<LogicalType> columnTypeList) { final String[] columnNames = columnNameList.toArray(new String[columnNameList.size()]); final LogicalType[] columnTypes = columnTypeList.toArray(new LogicalType[columnTypeList.size()]); final String tableName = getSinkTableName(table); Integer parallelism = 1; boolean isMor = true; Map<String, String> sink = config.getSink(); Configuration configuration = Configuration.fromMap(sink); if (sink.containsKey("parallelism")) { parallelism = Integer.valueOf(sink.get("parallelism")); } if (configuration.contains(FlinkOptions.PATH)) { configuration.set(FlinkOptions.PATH, configuration.getValue(FlinkOptions.PATH) + tableName); } if (sink.containsKey(FlinkOptions.TABLE_TYPE.key())) { isMor = HoodieTableType.MERGE_ON_READ.name().equals(sink.get(FlinkOptions.TABLE_TYPE.key())); } configuration.set(FlinkOptions.TABLE_NAME, tableName); configuration.set(FlinkOptions.HIVE_SYNC_DB, getSinkSchemaName(table)); configuration.set(FlinkOptions.HIVE_SYNC_TABLE, tableName); long ckpTimeout = rowDataDataStream.getExecutionEnvironment() .getCheckpointConfig().getCheckpointTimeout(); configuration.setLong(FlinkOptions.WRITE_COMMIT_ACK_TIMEOUT, ckpTimeout); RowType rowType = RowType.of(false, columnTypes, columnNames); configuration.setString(FlinkOptions.SOURCE_AVRO_SCHEMA, AvroSchemaConverter.convertToSchema(rowType).toString()); // bulk_insert mode final String writeOperation = configuration.get(FlinkOptions.OPERATION); if (WriteOperationType.fromValue(writeOperation) == WriteOperationType.BULK_INSERT) { Pipelines.bulkInsert(configuration, rowType, rowDataDataStream); } else // Append mode if (OptionsResolver.isAppendMode(configuration)) { Pipelines.append(configuration, rowType, rowDataDataStream); } else { DataStream<HoodieRecord> hoodieRecordDataStream = Pipelines.bootstrap(configuration, rowType, parallelism, rowDataDataStream); DataStream<Object> pipeline = Pipelines.hoodieStreamWrite(configuration, parallelism, hoodieRecordDataStream); // compaction if (StreamerUtil.needsAsyncCompaction(configuration)) { Pipelines.compact(configuration, pipeline); } else { Pipelines.clean(configuration, pipeline); } if (isMor) { Pipelines.clean(configuration, pipeline); Pipelines.compact(configuration, pipeline); } } } ` 2. Use dlink to submit task. The SQL is as follows. ` sql EXECUTE CDCSOURCE demo WITH ( 'connector' = 'mysql-cdc', 'hostname' = '127.0.0.1', 'port' = '3306', 'username' = 'root', 'password' = '123456', 'source.server-time-zone' = 'UTC', 'checkpoint'='1000', 'scan.startup.mode'='initial', 'parallelism'='1', 'database-name'='data_deal', 'table-name'='data_deal\.stu,data_deal\.score', 'sink.connector'='datastream-hudi', 'sink.path'='hdfs://cluster1/tmp/flink/cdcdata/', 'sink.hoodie.datasource.write.recordkey.field'='id', 'sink.hoodie.parquet.max.file.size'='268435456', 'sink.write.precombine.field'='update_time', 'sink.write.tasks'='1', 'sink.write.bucket_assign.tasks'='2', 'sink.write.precombine'='true', 'sink.compaction.async.enabled'='true', 'sink.write.task.max.size'='1024', 'sink.write.rate.limit'='3000', 'sink.write.operation'='upsert', 'sink.table.type'='COPY_ON_WRITE', 'sink.compaction.tasks'='1', 'sink.compaction.delta_seconds'='20', 'sink.compaction.async.enabled'='true', 'sink.read.streaming.skip_compaction'='true', 'sink.compaction.delta_commits'='20', 'sink.compaction.trigger.strategy'='num_or_time', 'sink.compaction.max_memory'='500', 'sink.changelog.enabled'='true', 'sink.read.streaming.enabled'='true', 'sink.read.streaming.check.interval'='3', 'sink.hive_sync.enable'='true', 'sink.hive_sync.mode'='hms', 'sink.hive_sync.db'='cdc_ods', 'sink.table.prefix.schema'='true', 'sink.hive_sync.metastore.uris'='thrift://cdh.com:9083', 'sink.hive_sync.username'='flinkcdc' ) ` 4.org.apache.hudi.org.apache.avro.AvroRuntimeException: Not a valid schema field.  5.Table has no partitions. **Expected behavior** The task is running normally. **Environment Description** * Hudi version : 0.10.0 * Flink version : 1.13.5 * Dlink version : 0.6.3-snapshot (main) * Hadoop version : 3.0.0-cdh6.3.2 * Hive version : 2.1.1-cdh6.3.2 * Storage (HDFS/S3/GCS..) : HDFS * Running on Docker? (yes/no) : no **Additional context** The solution is to add "sink.hoodie.datasource.write.keygenerator.type"="NON_PARTITION". **Stacktrace** ```Add the stacktrace of the error.``` -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected]
