Aload opened a new issue, #6102: URL: https://github.com/apache/hudi/issues/6102
**_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** A clear and concise description of the problem. **To Reproduce** Steps to reproduce the behavior: 1. Use Flink consumption Kafka to write hoodie in real time (MOR table) 2. Spark3.2.1 was used to read THE MOR table for pre-aggregation 3. The written data and the actual data consumed by Flink do not match, and there is a big difference 4. **Expected behavior** A clear and concise description of what you expected to happen. **Environment Description** * Hudi version : 0.11.1 * Spark version :3.2.1 * Hive version :2.3.7 * Hadoop version :3.0.0 * Storage (HDFS/S3/GCS..) :hdfs * Running on Docker? (yes/no) :no **Additional context** Add any other context about the problem here. **Stacktrace** ```When I use Flink1.14.4 to consume Kakfa's write hoodie, I stop consuming after consuming, keep flink consumption data consistent with Kafka Tool data, and then check data through Spark3.2.1, I read far less data than real data, and some data also disappeared. None. At the same time, we created a new consumer program to consume data into Clickhouse in real time, and found that clickhouse had far more data than HUDi, and some data was hoodie missing in Clickhouse. There is no abnormal procedure in the whole operation process .```   -- 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]
