Sakthi created SPARK-50570:
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Summary: ClassCastException in PySpark when writing to DynamoDB
(MapWritable to DynamoDBItemWritable)
Key: SPARK-50570
URL: https://issues.apache.org/jira/browse/SPARK-50570
Project: Spark
Issue Type: Bug
Components: PySpark
Affects Versions: 3.5.2
Reporter: Sakthi
Writing data to a DynamoDB table using PySpark results in the following error:
{code:java}
Caused by: java.lang.ClassCastException: org.apache.hadoop.io.MapWritable
cannot be cast to org.apache.hadoop.dynamodb.DynamoDBItemWritable
at
org.apache.hadoop.dynamodb.write.DefaultDynamoDBRecordWriter.convertValueToDynamoDBItem(DefaultDynamoDBRecordWriter.java:22){code}
However, when using the same logic written in Scala, the write operation works
as expected.
This indicates a potential issue in the PySpark logic responsible for
converting RDD elements before they are written to DynamoDB via
`DefaultDynamoDBRecordWriter`. This prevents users from leveraging PySpark for
integration with DynamoDb.
* Potential area of interest:
[https://github.com/apache/spark/blob/master/core/src/main/scala/org/apache/spark/api/python/PythonHadoopUtil.scala#L183-L186]
*Broad steps to reproduce the issue:*
* Create a DynamoDB table with the required schema.
* Load some data into S3 to serve as the source data.
* Read from S3 and write to the DynamoDB table using PySpark.
** You should encounter the error mentioned above.
* Repeat the same steps using Scala.
** This time, the data will be successfully written to the DynamoDB table with
no errors encountered.
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