young138120 opened a new issue, #10423: URL: https://github.com/apache/hudi/issues/10423
**Describe the problem you faced** I am currently writing data to a MOR partitioned table using Flink. When reading with Spark, I want to ignore newly added uncompressed log data Due to conflicts in data types, there is a data type conversion failure when reading incremental log files I try to set hoodie.datasource.query.type=read_optimized but it not work  still throw the exception <img width="960" alt="1703666014836_lQLPKHjaf5_T9ePNA5DNB4CwyTdasw0XwmsFfDhCMqVIAA_1920_912" src="https://github.com/apache/hudi/assets/11519151/1c740699-db89-487c-b1f6-2e47a9109361";> I am not use the way that read().load() ,I am querying directly like spark.sql("select xxx from table") **Expected behavior** A clear and concise description of what you expected to happen. **Environment Description** * Hudi version : 0.9.0 * Spark version : 3.1.1 * Hive version : 3.1.0 * Hadoop version : 3.1.1 * Storage (HDFS/S3/GCS..) : HDFS * Running on Docker? (yes/no) : NO -- 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]
