Google BigQuery mappings that run in the Amazon EMR 6.1 cluster fail with the following error:

NoClassDefFoundError: scala/Product$class

If you use the

Create Target

option to create a Google BigQuery target and the source contains a column of Integer data type, the Data Integration Service fails to create a Google BigQuery target.

The test connection is successful even when you specify incorrect credentials in the connection properties.

When you use the Merge query to write data to a Google BigQuery target and import a Google BigQuery data object that contains more than 2000 columns, the mapping fails.

When you run a Google BigQuery mapping on the Spark engine, the mapping fails when the following conditions are true:

You configure a Google BigQuery source and select
Optimized
as the
Spark Mode
.
You configure a Google BigQuery target and select
Optimized
as the
Spark Mode
.
You use any one of the following versions of the Hadoop distribution in the Hadoop environment:
Amazon EMR 5.29
Amazon EMR 5.26
Azure HDInsight 3.6
Cloudera CDH 5.16
Cloudera CDH 5.13
Hortonworks HDP 2.6
MapR

When you run a mapping to read data of timestamp data type from a Google BigQuery source, incorrect values are written to the target for certain timestamp values.