[Discover] Implement temporary data views aka index patterns#113814
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kertal wants to merge 15 commits intoelastic:mainfrom
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[Discover] Implement temporary data views aka index patterns#113814kertal wants to merge 15 commits intoelastic:mainfrom
kertal wants to merge 15 commits intoelastic:mainfrom
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💔 Build Failed
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Test FailuresKibana Pipeline / jest / Jest Tests.x-pack/plugins/index_management/__jest__/client_integration/home.Data Streams tab when there are data streams lists them in the tableStandard OutStack TraceKibana Pipeline / jest / Jest Tests.x-pack/plugins/index_management/__jest__/client_integration/home.Data Streams tab when there are data streams has a button to reload the data streamsStandard OutStack TraceKibana Pipeline / jest / Jest Tests.x-pack/plugins/index_management/__jest__/client_integration/home.Data Streams tab when there are data streams has a switch that will reload the data streams with additional stats when clickedStandard OutStack Traceand 106 more failures, only showing the first 3. Metrics [docs]Module Count
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@elasticmachine merge upstream |
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merge conflict between base and head |
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Closing in favor of #138283 |
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Summary
This POC was done using space, time. The target was to allow temporary, persistable data views / index patterns in Discover.
This PR allows instant exploration / discovery of data in Elasticsearch, so it's lowering the barrier especially for new users, but it's also useful for experienced users.
How does it work
When the user enters an unknown data view / index pattern, he'll get a button to create a temporary one:
If there are time fields available, they can be selected, and are previewed instantly in the data table
On actions that require a persisted data view / saved search, the user has to confirm
A nice side effect of this work: temporary data views / index patterns are created by links, so we can allow linking e.g. from index management:
tbc
Checklist
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Risk Matrix
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Before closing this PR, invite QA, stakeholders, and other developers to identify risks that should be tested prior to the change/feature release.
When forming the risk matrix, consider some of the following examples and how they may potentially impact the change:
For maintainers