kmozaid commented on issue #6453:
URL: https://github.com/apache/iceberg/issues/6453#issuecomment-1361381099
I think, you should create `inflated_df` as -
```
spark.read().format("iceberg")
.option(SparkReadOptions.AS_OF_TIMESTAMP, "2022-12-19 06:13:02")
.load("glue_dev.datalakectxsort.clinicalprescription")
.createOrReplaceTempView("clinicalprescription_before_delete");
inflate_sql = "select <inflated_projection> from
clinicalprescription_before_delete target join source on target._context_id_ =
cast(source._context_id_ as decimal(12, 0)) and target.id = cast(source.id as
decimal(12, 0))"
inflated_df = spark.sql(inflate_sql)
```
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