Informatica Data Quality
- Informatica Data Quality 10.5
- All Products
Issue
| Description
|
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BDM-36874
| When the Spark engine runs a mapping on a Cloudera CDP Public Cloud cluster, the mapping fails if you read from or write to a directory on the Data Lake cluster.
The mapping fails with the following error:
|
BDM-36873
| When you run a mapping on a Cloudera CDP Public Cloud cluster, the mapping fails if you read from or write to a relative path on the Data Lake cluster.
The mapping fails with the following error:
|
BDM-35764
| You cannot fetch aggregate logs for applications that run on a Cloudera CDP Public Cloud cluster.
|
BDM-35089
| When the Spark engine runs a mapping that contains a Lookup transformation, the count of Source_Rows and Target_Rows might be incorrect.
Workaround: Run the mapping on the Blaze engine.
|
BDM-34065
| When you import the cluster configuration from Compute cluster configured on Cloudera and you choose to create associated connections, the creation process fails to create the Hive connection and displays the following error:
Workaround:
|
BDM-33922
| In a Kerberos-enabled domain, a mapping that runs on the Spark engine using an impersonation user fails if the following conditions are true:
Workaround: Provide the DECRYPT privilege in the encryption zone to the Active Directory user, or use a cluster staging directory that is outside of the encryption zone. For example, use the /tmp directory.
|
BDM-33585
| When a mapping that runs on the Blaze engine reads from or writes to an encryption zone in HDFS, the mapping fails.
Workaround: Configure the user that runs a mapping on Blaze to be the same as the impersonation user. To use a different user, give DECRYPT privileges to the Blaze user.
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