JackGoldsworth commented on issue #7774:
URL: https://github.com/apache/iceberg/issues/7774#issuecomment-1624325181
I am seeing this as well after upgrading from EMR 6.10 (Spark 3.3.1, Iceberg
1.1.0) to EMR 6.11 (Spark 3.3.2, Iceberg 1.2.0) on the following Spark write to
a partitioned Iceberg Table: `df.writeTo(s"${...}.${tableName}")
.overwrite(col(s"${id}") === id)`.
I am also seeing substantially increased our write times.
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