TIMFANGZI opened a new issue, #9305:
URL: https://github.com/apache/hudi/issues/9305
**Describe the problem you faced**
**Background:** I'm using pyspark to run my job on AWS EMR, and after
upgrading, the Hudi version becomes 0.13.0
**Problem**: I used to read MOR table on S3 by the following code:
`spark.read.format('org.apache.hudi').option("hoodie.datasource.query.type",
"read_optimized")`
However, it failed after upgrading, and get the error:
**org.apache.spark.sql.vectorized.ColumnarBatch cannot be cast to
org.apache.spark.sql.catalyst.InternalRow**,
and how I fixed this problem is to delete
**option("hoodie.datasource.query.type", "read_optimized")**. Although this
problem is resolved in my side, I still want to know the root cause, do you
have any ideas?
**To Reproduce**
Steps to reproduce the behavior:
1. Read MOR table using option("hoodie.datasource.query.type",
"read_optimized")
**Environment Description**
* Hudi version : 0.13.0
* Spark version : 3.4
* Hive version :
* Hadoop version :
* Storage (HDFS/S3/GCS..) : S3
* Running on Docker? (yes/no) :
**Additional context**
Add any other context about the problem here.
**Stacktrace**
```Add the stacktrace of the error.```
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