![]() docs(get-started) Simplify copy on Get Started landing page by in.fix(ci): use trivy offline scanning by in.fix(ci): only scan on master branch by in.This change should not affect any user who is using default Kafka names. They have been suffixed with _TOPIC where as now the correct suffix is _TOPIC_NAME. The environment variables used to configure Kafka topics for DataHub used in the kafka-setup docker image have been updated to be in-line with other DataHub components, for more info see our docs on Configuring Kafka in DataHub. () This should only impact users who have configured explicit non-default names for DataHub's Kafka topics. DataHub Lite is compatible with the DataHub metadata format and all the ingestion connectors that DataHub supports. It is intended to enable local developer tooling use-cases such as simple access to metadata for scripts and other tools. This release introduces DataHub Lite - a new experimental lightweight implementation of DataHub.Redshift: You can now extract lineage information from unload queries – thanks for the contrib, PowerBI: Ingestion now maps Workspaces to DataHub Containers – thanks for the contrib, BigQuery: You can now extract lineage metadata from the Catalog API – thanks for the crontrib, Glue: Ingestion now uses table name as the human-readable name – thanks for the contrib, Experience .Here are some of the most notable ingestion-related improvements: Quoted search analyzer for exact & prefix match.This makes it much easier to understand how interdependencies have evolved over time and to troubleshoot data issues in the past.Īs noted above, we have rolled out substantial improvements to Search functionality, making it easier than ever for end-user to find the entities that matter most. You can now easily see the full lineage graph of an entity at a specific point in time. Add links to other entities/users within DataHubįilter lineage graphs based on time windows.This work provides a much more intuitive documentation editing experience within the UI, providing “what you see is what you get” formatting & removing the need for markdown expertise. Improved documentation editor, contributed by and the Grab Team. We have some really exciting improvements to the DataHub user experience in this release! If you do not run the datahub-upgrade container successfully, other components in the stack will fail to start correctly. This will run the required reindex against your elasticsearch instance, after which other DataHub components should start correctly. Then, run the container this with the commandįor the full set of environment variables required, check out the default docker.env provided for Docker Compose deployments. If you're deploying the Docker containers yourself (without Helm or Docker-Compose Quickstart), then you'll need to ensure that you first run the acryldata/datahub-upgrade docker image (v0.10.0 tag) with the following environment variables enabled. If you are deploying containers yourself ![]() After the reindex is complete, please check your ingestion run to re-run any that did not complete. This process can take anywhere from 5 minutes to multiple hours as rough estimate, please expect it to take 1 hour for every 2.3 million entities. Helm deployments will go into read-only mode and new ingestion runs will fail.new components will be prevented from start-up until the reindex completes.a system-update job will set indices to read-only and create a backup/clone of each index.This release introduces substantial improvements to search functionality which require reindexing indices. Released on by Release Highlights Potential Downtime ![]()
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