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Posted to notifications@accumulo.apache.org by "Christopher Tubbs (JIRA)" <ji...@apache.org> on 2013/05/31 22:23:19 UTC
[jira] [Updated] (ACCUMULO-802) table namespaces
[ https://issues.apache.org/jira/browse/ACCUMULO-802?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Christopher Tubbs updated ACCUMULO-802:
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Summary: table namespaces (was: namespaces)
> table namespaces
> ----------------
>
> Key: ACCUMULO-802
> URL: https://issues.apache.org/jira/browse/ACCUMULO-802
> Project: Accumulo
> Issue Type: Improvement
> Reporter: Eric Newton
> Assignee: Christopher Tubbs
> Fix For: 1.6.0
>
>
> A large cluster is a valuable shared resource. The current permission system and simple table naming structure does not allow for delegation of authority and safe partitioning within this shared resource.
> Use cases:
> # create a namespace (like "test") and delegate the {{grant}} permission to tables created in that namespace to a user that would manage those tables. Presently, {{grant}} is never delegated.
> # create simple "test" and "production" namespaces that are trivial for users to switch between. For example, instead of having tables "test_index" and "test_documents" the client would support "index" and "documents" with an API to support switching trivially between the the different environments.
> # create a set of tables in a namespace called "latest" This namespace is re-created periodically with a map-reduce job. If code changes inadvertently create a corrupt "latest," users can switch to the set of tables known as "safest" In this way, users can experiment, and provide feedback on incremental improvements, while have a safe fallback.
> # two applications hosted on the same cluster that can share a table, which has been "aliased" into their namespace. Namespace-local permissions are ignored, but a (most likely read-only) view of the table is available. This would be helpful for reference tables.
> # quotas/priorities. Implement namespace-specific priorities and resource allocations. It is reasonable to run namespace-specific queries and ingest on production equipment. Large cluster resources are always limited, and often the *only* place where near-production quality software can be run at full scale.
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