Catalog collector release notes

A new collector, the AWS Lake Formation collector, is now available in public preview.

Microsoft Fabric collector: Now catalogs metadata for Eventhouses, including the addition of associated KQL databases, expanding visibility into the Microsoft Fabric ecosystem.

dbt core and cloud collectors: Added support for harvesting semantic model metadata, enriching the data model layer within your catalog.

Power BI collector: Introduced support for an additional Databricks source MQuery function type in lineage resolution, improving coverage and accuracy of Power BI lineage.

SSIS collector: Enhanced debug-level logging to support better root cause analysis for missing catalog resources, aiding in troubleshooting and diagnostics.

Alteryx collector: Fixed an issue where the workflow description was not correctly captured from the user-provided meta info section.

AWS Glue collector: Resolved a null pointer exception that could occur when the Glue Data Catalog tables are empty, improving stability.

Snowflake collector: Improved data type standardization by stripping parenthesized size/length values (for example, VARCHAR(255) → VARCHAR) for cleaner and more consistent metadata.

Tableau collector: Added view-based filtering for bin and group fields to align with how calculated fields are handled.

Salesforce collector: Now harvests all reports and dashboards, not just recently viewed ones.

Snowflake, Redshift, Databricks, Denodo, Oracle, PostgreSQL, Teradata, MySQL, Db2, Netezza, SQL Server collectors, SAP HANA collectors: Column decimal digits are now written only for appropriately typed columns.

Tableau collector: Fixed a null pointer exception in column lineage processing for Custom SQL tables.

OpenAPI collector: Resolved errors caused by malformed spec files that previously triggered null pointer exceptions.

Logging framework (all collectors): Introduced minor updates to the logging framework. As a result, users may notice slightly different log messages compared to previous versions.

Snowflake collector: Upgraded the embedded Snowflake JDBC driver to version 3.34.2, addressing potential exceptions and improving stability.

Azure data factory collector: Now catalogs parameters used in parameterized linked services, along with the relationship between each linked service and its data source, providing deeper lineage visibility.

PowerBI collector: Added support for parsing lineage from certain SQL statement types without requiring database credentials, making it easier to extract lineage in more restricted environments.

Tableau collector: Prevented exceptions that could occur when harvesting table-view relationships, particularly when table information is missing from the Tableau GraphQL API.

PowerBI collector: Fixed an issue with Denodo sources that use custom SQL, improving support for a wider range of PowerBI source types.

SQL Server Integration Services (SSIS) collector: Resolved an exception that occurred during the harvesting of column information, enhancing reliability in metadata extraction.

Tableau collector: Now determines the associated project for a Custom SQL Table based on its workbook rather than its datasource, improving accuracy in project assignments.

PowerBI collector: Added support for Oracle Autonomous Database as a source, expanding connectivity and metadata coverage within PowerBI environments.

All collectors (on-premise version): Updated the logging behavior so that each new collector run will truncate existing log files written to the local filesystem, rather than appending to them. This means logs from previous runs will be overwritten during subsequent runs.

This change does not affect uploaded log files—those remain intact.

SSRS collector: Added support for harvesting metadata using the SOAP API, enabling compatibility with older SSRS versions that do not support the REST API.

Microsoft Fabric collector: Added support for harvesting lineage from custom SQL queries used in Fabric Lakehouse and Warehouse sources

Snowflake, Redshift, Databricks, Denodo, Oracle, PostgreSQL, Teradata, MySQL, Db2, Netezza, SQL Server collectors, SAP HANA collectors: Resolved an issue that caused exceptions when harvesting index metadata for tables lacking a defined type.

SQL Server collector: Fixed an error in how table names were qualified when calling the sp_spaceused stored procedure—ensuring accurate harvesting of table size metadata.

QlikSense collector: Prevented exceptions that occurred when the created-by or modified-by user information was missing from collected resources.

Databricks collector: Expanded lineage harvesting to include relationships between objects across different schemas, rather than only within the same schema.

Tableau collector: The collector Now harvests the last refresh date for Tableau data sources, where available—providing better visibility into data currency and freshness.

Tableau collector: Fixed an issue that was preventing the harvesting of certain lineage relationships between Column Fields and their underlying database columns.

SSIS collector: Fixed an issue that caused a stack overflow error when cycles were present in execution flows.

Tableau collector:

Snowflake, Redshift, Databricks, Denodo, Oracle, PostgreSQL, Teradata, MySQL, Db2, Netezza, SQL Server collectors, SAP HANA collectors: Corrected the calculation of sampling percentages for column statistics, which were previously computed incorrectly in some cases.

Postgres and Redshift collectors: Added support for the ~~* symbol in view definition SQL, which serves as an alias for the LIKE keyword in SQL syntax.

SSIS Collector: Improved logging and resolved a NullPointerException caused by missing elements in execution XML files.

PowerBI collector: Improved performance by handling PowerBI API retry instructions more efficiently.

Tableau collector: Added enhanced logging to monitor collector progress and track cataloged resources.

Athena collector:

ADF collector: Fixed an issue where unparseable JSON in certain parameter values caused collector failures.

BigQuery collector: Correctly handles cases where the BigQuery API does not return table details, preventing errors.

PowerBI collector: Supports automated migration of resource IRIs (identifiers) from earlier collector versions to maintain continuity.

QlikSense collector: Implemented a rate limiter to improve performance and prevent API errors during metadata harvesting.

AWS S3 collector: Enhanced performance by applying regex filters before fetching objects within buckets, reducing unnecessary API calls.

Tableau collector: Fixed a gap in harvesting of lineage relationships between Tableau column fields and database columns.

Microsoft Fabric collector: Resolved an issue where some Data Pipelines failed to deserialize due to varying data types based on configuration.

SSIS collector: Fixed an exception caused by missing or empty elements in SSIS executable descriptor XML files.

Athena collector: Updated harvesting of databases to accommodate environments with more than 100 databases.

Microsoft Fabric collector:

Microsoft Fabric collector:

dbt Core and dbt Cloud collectors: dbt sources are now associated with database schemas (instead of tables) through a non-lineage relationship, improving metadata accuracy.

Tableau collector: Enhanced log tracing around column field lineage to improve troubleshooting and debugging clarity.

Databricks collector: Now captures table lineage to corresponding AWS S3 objects.

Denodo, Oracle, PostgreSQL, Teradata, MySQL, Db2, SQL Server collectors: Added support for harvesting metadata about table indexes, providing deeper insight into database structure and performance optimization.

Tableau collector: Improved handling of missing connection types on Tableau Server to prevent ingestion errors and ensure smoother metadata extraction.

dbt collector: Transitioned from using the manifest to the catalog to retrieve database identifiers. This resolves issues with quoted identifiers (for example, Snowflake).

Athena, Amazon Database Migration Service (DMS), Amazon DynamoDB, AWS Glue, Amazon QuickSight, Amazon S3 collectors: The collectors now support multiple authentication methods, offering greater flexibility and compatibility. The following new parameters are introduced for the new authentication methods:

Amazon Database Migration Service (DMS) collector: Introduced support for S3 as both a source and target endpoint.

Tableau collector: Implemented a nonNull filter for relatedFields, addressing errors and improving stability in the Tableau collector.

Databricks collector: Fixed an issue where table lineage could not be resolved when information was incomplete.

Tableau collector: Corrected processing of column fields to resolve subtle errors in field-to-database lineage.

Azure data factory collector: Improved handling of missing table details when collecting lineage.

All collectors: Fixed logging issues where some messages were not being written to the log file as expected.

Monte Carlo collector: Fixed alignment issues in generated table information from Monte Carlo Monitor by properly escaping pipes ('|') in monitor names.

A new collector, the SAP HANA collector, is now available in public preview.

SSIS collector: Now captures the connections between packages through the control flow, improving visibility of package relationships.

Databricks collector: The collector now harvests lineage only within the current schema. A new option Harvest entire lineage (--harvest-entire-lineage) is added to enable harvesting lineage from external schemas.

Microsoft Fabric collector: Enhanced to support additional syntaxes for Semantic Model table connections to Fabric warehouse/lakehouse resources, broadening compatibility and connectivity.

QlikSense collector: Made performance improvements to increase the efficiency and speed of the collector.

Microsoft Fabric collector: Fixed issues with Lakehouses and SQL endpoints to ensure database resources are associated with the correct resource, enhancing accuracy.

Tableau collector: Fixed an issue to ensure proper handling of sites and projects with large quantities of column and data source fields.

Databricks collector: Resolved a parsing issue in view queries where aliases starting with a number caused failures.

The following two new collectors are now available in public preview.

Power BI collector: The collector now harvests column descriptions for Power BI columns.

Databricks collector: The collector now supports Oauth service principal authentication for Databricks. Two new parameters, Service principal client ID (--client-id) and Service principal client secret (--client-secret) are introduced for this.

Tableau collector: Fixed an issue with the display of lineage between Tableau Fields and Database Columns, ensuring accurate representation of data relationships.

Snowflake Collector: The collector now harvests system tags.

SSIS collector: The collector now supports the inclusion or exclusion of specific databases or servers from being harvested. For new parameters are introduced to use these features: --include-database, --exclude-database, --include-server, --exclude-server.

All collectors: Resolved an issue where collectors created new collections with a new ID, leading to duplicate collections in the catalog.

Qlik Sense collector: Fixed an issue where missing user information in Qlik Sense resulted in an exception trace in the logfile.

Azure data factory collector: Added a log message to indicate when the Dataset API response lacks sufficient information, such as schema and table details, to construct lineage.

Tableau collector: The way we represent ownership information for workbooks, views, and metrics in the Tableau catalog has been updated. The owner is now represented using the kos:hasOwner property.

Alteryx collector: Increased API call read timeout and improved error handling by capturing and logging processing exceptions.

Confluent collectors: The collector now correctly handles cases where consumer member assignments are missing a topic description.

Tableau collector: The collector now accurately harvests hidden dashboards. Previously, the feature was limited to hidden Views, which included both Sheets and Dashboards but classified them all as Sheets. With this update, the collector distinguishes between Sheets and Dashboards, assigning the correct type to each entity. This ensures a more accurate representation of hidden Views in Tableau.

A new collector, the AWS Database Migration Service (DMS) collector, is now available in public preview.

Tableau collector: Improve command guidance, documentation, and warnings about the required format of the Tableau API URL option.

Alteryx collector: The collector now harvests nested workflow nodes and catalogs their relationship with the workflow.

Azure Data Factory collector: Made improvements to Azure Data Factory lineage by enhancing the harvesting of lineage from parameterized dataset references. The collector now also harvests both downstream and upstream resources.

Oracle collector: Add a new parameter --autonomous-db-connection-string for connection string for autonomous DB.

Tableau collector: The collector now harvests relationships between SQL tables and workbooks, enhancing data connectivity and visualization.

AWS Glue collector: Enhanced the collector to harvest lineage from Glue Data Catalog tables to their underlying S3 objects and gather more metadata for tables. The enhanced collector is available with the command catalog-aws-glue, while the legacy collector remains available as catalog-aws-glue-legacy or catalog-awsglue for compatibility. Please coordinate with your Customer Success Director for a smooth transition to the new collector version soon.

Note that the AWS Glue collector is only available as an on-premise solution, not as a cloud collector.

Tableau collector:

Go here to access release notes for previous version.