<@U06TM7M40RK> After upgrading to the cli for some reason i dont have anymore the column linage between enteties
It seems like you are experiencing issues with column-level lineage after upgrading your CLI. Here are a few steps and considerations to help troubleshoot and resolve the issue:
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Check CLI Version Compatibility: Ensure that the CLI version you upgraded to supports column-level lineage. According to <Slack Slack discussion>, certain features like fine-grained lineage require a minimum CLI version. Make sure your CLI version is compatible with the features you are trying to use.
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Configuration Verification: Double-check your ingestion configuration to ensure that column-level lineage is enabled. For example, if you are using dbt, make sure
include_column_lineage
is set totrue
as mentioned in <Slack Slack thread>. -
Ingestion Source Support: Verify that the ingestion source you are using supports column-level lineage. As per the <https://datahubproject.io/docs/0.14.0/api/tutorials/lineage#add-column-level-lineage|DataHub Lineage Guide>, not all sources support column-level lineage out of the box. You may need to programmatically create it using the API or Python SDK.
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UI Settings: Ensure that the “Show Columns” toggle is enabled in the DataHub UI to view column-level lineage. This is a common oversight as noted in <Slack Slack conversation>.
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Known Issues and Bugs: Check for any known issues or bugs related to column-level lineage in the version you are using. For instance, there have been reports of UI not displaying lineage correctly due to caching or other issues, as discussed in <Slack Slack thread>.
Would you like more detailed instructions on any of these steps or need help with a specific part of the process?
Sources:
- <Slack Slack Discussion>
- <Slack Slack Discussion>
- <https://datahubproject.io/docs/0.14.0/api/tutorials/lineage#add-column-level-lineage|DataHub Lineage Guide>
- <Slack Slack Discussion>
- <https://datahubspace.slack.com/archives/CV2UXSE9L/p1708450080.496619|DataHub Slack Discussion>
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Hint: Mention @runllm in the thread for followups.
Hi <@U043M1LL15E>, how did my answer work out for you? Need any more assistance? You can also tag <@U07FV3UHE4D> to let your fellow community members know you’re still looking for guidance.
Hi ! Did this interaction resolve your issue or do you still require assistance ?
Please tag @ RunLLM if you still need further assistance !
Or tag @Datahub Community Support if you require a person to take a look
Hope this helps ! ><