[jira] [Comment Edited] (SPARK-1153) Generalize VertexId in GraphX so that UUIDs can be used as vertex IDs.

["npanj (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SPARK-1153?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14010846#comment-14010846 ] 

npanj edited comment on SPARK-1153 at 5/28/14 6:48 AM:
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An alternative approach, that I have been using: 
1 Use a preprocessing step that maps UUID to an Long.
2. Build graph based on Longs

For Mapping in step 1:
- Rank your uuids.
- some kind of has function?

For 1, graphx can provide a tool to generate map.

I will like to hear how others are building graphs out of non-Long node types.





was (Author: npanj):
An alternative approach, that I have been using: 
1 Use a preprocessing step that maps UUID to an Long.
2. Build graph based on Longs

For Mapping in step 1:
- Rank your uuids.
- some kind of has function?

For 1, graphx can provide a tool to generate map.

I will like to hear how others are building graphs out of non-Long node types




> Generalize VertexId in GraphX so that UUIDs can be used as vertex IDs.
> ----------------------------------------------------------------------
>
>                 Key: SPARK-1153
>                 URL: https://issues.apache.org/jira/browse/SPARK-1153
>             Project: Spark
>          Issue Type: Improvement
>          Components: GraphX
>    Affects Versions: 0.9.0
>            Reporter: Deepak Nulu
>
> Currently, {{VertexId}} is a type-synonym for {{Long}}. I would like to be able to use {{UUID}} as the vertex ID type because the data I want to process with GraphX uses that type for its primay-keys. Others might have a different type for their primary-keys. Generalizing {{VertexId}} (with a type class) will help in such cases.



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