DavidZ1 opened a new issue, #7817: URL: https://github.com/apache/hudi/issues/7817
**_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** Hello, I want to know about Hudi encoding. If you create a table in Hadoop and set the encoding format, such as snappy (parquet format), it will be stored on hdfs as a file named xxxxx.snappy.parquet and stored on hdfs. I checked that the data of hudi is actually stored on hdfs. The file name does not show the way of file compression. They are all named after characters and numbers + parquet. I tried to adjust the default encoding format gzip -> snappy, and the actual landing data file name There is also no encoding format. Can the encoding format of the table be distinguished by the name of the hudi file? Like hive tables ? I wonder, is this how hudi originally named files? Or am I creating the table incorrectly or using Spark to write in the wrong way? **To Reproduce** Steps to reproduce the behavior: 1.create hudi test table use spark-sql -- table schema `create table hudi_mor_tbl ( id int, name string, price double, ts bigint ) using hudi tblproperties ( type = 'mor', primaryKey = 'id', payloadClass = 'org.apache.hudi.common.model.OverwriteNonDefaultsWithLatestAvroPayload', hoodie.parquet.compression.codec = 'snappy' );` -- use spark-sql insert  insert into hudi_mor_tbl select 1, 'a1_1', 20, 1001; 3.hadoop fs -ls path  **Expected behavior** A clear and concise description of what you expected to happen. **Environment Description** * Hudi version : 0.12.2 * Spark version : 3.2 * Hive version : 3.1.2 * Hadoop version : 3.2.2 * Storage (HDFS/S3/GCS..) : HDFS * Running on Docker? (yes/no) : no **Additional context** Add any other context about the problem here. **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]
