When you use a Sqoop mapping to import data from SQL Server tables that have columns that start with an underscore ("_"), the import fails.

On a Hortonworks HDP 3.1 cluster, Spark engine incorrectly converts string data type to binary data type.

When the Databricks Spark engine runs a mapping, the mapping might fail with the following error:

org.apache.spark.sql.catalyst.errors.package$TreeNodeException: Binding attribute, tree

When the Spark engine runs a mapping on an EMR 6.0 cluster that contains an Update Strategy transformation with a DD_DELETE condition, the mapping fails with an error like: "java.io.IOException: Corrupted records with different bucket ids from the containing bucket file found! Expected bucket id 0, however found the bucket id 1"

When the Spark engine runs a mapping that contains an Update Strategy transformation with a DD_DELETE condition on an EMR 6.0 cluster, the mapping fails with an error like:

Databricks clusters do not support concurrent mapping processing. While very limited concurrency is sometimes possible, concurrency support depends on multiple factors and is difficult to predict.

Apache Spark SQL in versions 2.4.7 and older process data value (0) for DECIMAL(n,n) as NULL.

A mapping with a Sorter transformation that contains datetime data in its default value changes the data when you run the mapping on a MapR cluster.

The mapping fails with an error on Spark engine due to duplicate columns in the Hive table.