You can use the MetaDex tool to create resources and associated connections in the Catalog Service without administrator privileges.

When the connection name contains a special character, such as an @ character, the Google BigQuery resource can't parse the connection and fails with the following error:

When an Amazon Redshift MetaDex scanner scans views with the no schema binding option from the Create View Data Definition Language (DDL) statement, the scanner job fails with the following error:

When you try to delete an asset from the MetaDex tool, you get the following error:

When you try to load the next scanner process for an IBM InfoSphere DataStage MetaDex scanner, the scanner fails with the following error:

If you try to perform an SAS Metadex scan, the scanner job sometimes fails either with an SAS log converter issue or with JSON parsing errors.

When you run an IBM InfoSphere DataStage MetaDex scanner in connectionless mode, the warning logs fail to appear in the MetaDex tool.

When you use a Hive resource to extract metadata from struct data types, the resource scan fails.

When you try to upload a synonym file with more than 10000 terms on a multi node cluster, the upload fails.

When you use an Informatica Axon resource to extract metadata glossaries, the Catalog Service overloads and the extraction fails.

Profiling for parquet file fails with a

java.lang.ArrayIndexOutOfBoundsException

error with the Amazon S3 V2 scanner.

When you try to create a Similarity Discovery resource in Enterprise Data Catalog, the resource creation fails and displays an internal error.

If you run several scanners with profiling using the custom schedule, some scheduled scanner jobs fail to run or move into a queued state.

You can't delete a custom partition JSON file in the

Metadata Load Settings

tab of an Amazon S3 V2 resource.

LDAP user fails to login for the Data Flow Analytics in the PowerCenter resource.

After you scan files such as parquet and part files with an HDFS resource, the resource incorrectly identifies the part files as unstructured files instead of parquet files.

On the Lineage and Impact tab, you can view all the asset types in the Asset Type filter instead of the asset types in the lineage diagram.

When you run a profiling and a data domain discovery job on both source data and metadata, the Enterprise Data Catalog tool fails to tag data domains.

In the Enterprise Data Catalog tool, you can't view the Display Name as the Business Title for a tranformation under the

Impact and Lineage

tab.

When you edit or update a value in an Amazon S3 resource, the Operating System profile field value is reset to All.

When you filter assets based on parent names in the Lineage and Impact tab, the Enterprise Data Catalog tool incorrectly filters the assets based on parent IDs instead of the parent names.

When you run a profiling job for a Hive table with custom data domains on a Spark engine, the execution fails.

Data domain discovery fails for some data domains on a Spark engine.

You can't use the Enterprise Data Catalog tool to export smart or composite data domains assigned by the system.

You can't select Spark or Native as the execution engine for a profiling job or a unique key interference.

When you try to load schema from an Amazon Redshift resource, the metadata extraction fails.

When you try to load data for an Apache Atlas resource, the staging process exceeds 90 hours.

Subscriptions API updates the valid objects even when encountering few assets that are not valid or available.

In the Enterprise Data Catalog tool, you can view different icons for the following assets of an Amazon S3 V2 resource:

You can view enrichments such as reviews, ratings, answers, and questions for Amazon S3 V2 and Azure Data Lake Storage Gen2 V2 resources.

When you export a lineage, you can view the database names.

The File System resource supports unique key inference.

You can configure Amazon S3 and File System resources to identify the following file types without an extension:

JSON
CSV
XML

When a property section has no values for any the attributes, the Overview tab displays the properties by default.

You can customize the number of columns displayed for assets, such as tables and views.

You can use the Informatica Platform and Informatica Data Quality resources to extract value frequency results through column profiling.