deepakpanda93 commented on issue #19297:
URL: https://github.com/apache/hudi/issues/19297#issuecomment-5002601815

   Hi @rangareddy,
   
   Thanks for the detailed report. I attempted to reproduce this on the master 
branch (Hudi 1.3.0-SNAPSHOT) using the same build profile and Spark 3.4 setup, 
and the DataFrame write completed successfully — the 
```ServiceConfigurationError``` did not surface in my run.
   
   ```
   >>> 
spark.read.format("hudi").load("/tmp/test/Hudi_Table_With_Comments_130").show(truncate=False)
   
+-------------------+---------------------+------------------+----------------------+------------------------------------------------------------------------+---+----+---+----------+
   |_hoodie_commit_time|_hoodie_commit_seqno 
|_hoodie_record_key|_hoodie_partition_path|_hoodie_file_name                    
                                   |id |name|age|date      |
   
+-------------------+---------------------+------------------+----------------------+------------------------------------------------------------------------+---+----+---+----------+
   |20260717162936791  |20260717162936791_0_0|1                 |2023-01-01     
       
|e53ea9ba-c8a1-4c37-9326-99d7fd6aae40-0_0-21-58_20260717162936791.parquet|1  
|John|30 |2023-01-01|
   |20260717162936791  |20260717162936791_0_1|2                 |2023-01-01     
       
|e53ea9ba-c8a1-4c37-9326-99d7fd6aae40-0_0-21-58_20260717162936791.parquet|2  
|Jane|25 |2023-01-01|
   |20260717162936791  |20260717162936791_1_0|3                 |2023-01-02     
       
|33de3d04-68a0-4aa1-a53f-9d59cd82909a-0_1-21-59_20260717162936791.parquet|3  
|Bob |35 |2023-01-02|
   
+-------------------+---------------------+------------------+----------------------+------------------------------------------------------------------------+---+----+---+----------+
   ```
   
   The error signature ```Provider org.apache.hudi.Spark32PlusDefaultSource not 
found``` raised from ```ServiceLoader``` during 
```DataSource.lookupDataSource```  is characteristic of a stale build artifact 
rather than a code-level defect.
   
   Could you retry with a clean rebuild from scratch:
   
   ```
   mvn clean
   mvn -T 2C install -DskipTests -Dspark3.4 -Dflink1.20
   ```
   
   I ran the exact PySpark script from the issue against a clean build on my 
machine and it completed the write successfully, so I suspect this will resolve 
after a full clean rebuild.


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