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title: Artifact Naming | ||
layout: default | ||
nav_order: 30 | ||
nav_order: 20 | ||
--- | ||
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## Artifact Naming | ||
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title: Concepts | ||
layout: default | ||
nav_order: 20 | ||
has_children: true | ||
--- | ||
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# Concepts | ||
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title: Version Design | ||
layout: default | ||
nav_order: 18 | ||
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## Version Design Considerations | ||
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* Semantic Versioning: A semantic version string is made up from 3 integers in the format `major.minor.incremental`. | ||
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An increment in only the ... | ||
* ... `incremental` component signifies a non-breaking bug fix. | ||
* ... `minor` component signifies a non-breaking feature addition. | ||
* ... `major` component signifies a breaking change. | ||
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Translating these to datasets would roughly mean: | ||
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* An incremental update would be fixing labels | ||
* A minor update would be the addition of new instances and properties | ||
* A major update would be schema changes or the removal of instances or properties (as those instances may have been referenced in the downstream process) | ||
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* It may be tempting to use the format `yyyy.MM.dd` such as `<version>2024.02.15</version>`, however this may make it difficult to publish updated versions of data at that time later on. For example, | ||
if it turns out there was a bug in the data generator and several versions are broken. | ||
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Possible mitigations: | ||
* Make the data generator revision part of the groupId such as `<groupId>org.myorg.myproject.datagen.v2</groupId>` | ||
* Reserve the major version field for revisions `<version>1.20240215.0</version>` | ||
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