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88 lines
2.4 KiB
Markdown
88 lines
2.4 KiB
Markdown
---
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title: Upgrade 1.3.x to 1.4.x
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slug: /deployment/upgrade/versions/130-to-140
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collate: false
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---
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# Upgrade from 1.3.x to 1.4.x
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Upgrading from 1.3.x to 1.4.x can be done directly on your instances. This page will list few general details you should take into consideration when running the upgrade.
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## Deprecation Notice
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## Breaking Changes for 1.4.x Stable Release
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### Dashboard & Pipeline Source Config Changes
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We have restructured how we input the dbServiceNames field, used for creating lineage between pipeline(spline) and tables & dashboard data models and tables. This change was done in order to highlight the field on UI and improve user experience.
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Please make note of changes in your yaml.
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Before:
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```
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sourceConfig:
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config:
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type: DashboardMetadata # or PipelineMetadata
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.....
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dbServiceNames:
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- redshift_prod
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.....
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```
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After 1.4.0 Upgrade:
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```
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sourceConfig:
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config:
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type: DashboardMetadata # or PipelineMetadata
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.....
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lineageInformation:
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dbServiceNames:
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- redshift_prod
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.....
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```
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### Custom severity classifier config
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We have updated `openmetadata.yaml` config file and removed the below setting option. If you were previously using it reach out to our team on #support channel in slack.
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```
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dataQualityConfiguration:
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severityIncidentClassifier: ${DATA_QUALITY_SEVERITY_INCIDENT_CLASSIFIER:-"org.openmetadata.service.util.incidentSeverityClassifier.LogisticRegressionIncidentSeverityClassifier"}
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```
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### Custom Connectors: Updates to the Initialization Method for Source Class
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We have introduced a new parameter, `pipeline_name` to the initialization method of source python classes. This change will also apply to the initialization of custom connectors.
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Please ensure to update your initialization methods accordingly, as demonstrated below.
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Before:
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```
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@classmethod
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def create(
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cls,
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config_dict: dict,
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metadata_config: OpenMetadataConnection
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):
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config: WorkflowSource = WorkflowSource.model_validate(config_dict)
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.....
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.....
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return cls(config, metadata_config)
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```
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After 1.4.0 Upgrade:
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```
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@classmethod
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def create(
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cls,
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config_dict: dict,
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metadata_config: OpenMetadataConnection,
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pipeline_name: Optional[str] = None
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):
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config: WorkflowSource = WorkflowSource.model_validate(config_dict)
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.....
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.....
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return cls(config, metadata_config)
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```
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