Hi Craig,
I commented the issue.

Best Regards,

Luca Garulli
CEO at Orient Technologies LTD
the Company behind OrientDB
http://about.me/luca.garulli


On 22 May 2015 at 00:17, W. Craig Trader <[email protected]> wrote:

>
> https://github.com/orientechnologies/orientdb/issues/4105#issuecomment-101072462
>
> I'm bringing up this issue, even though I've solved the primary problems,
> because it raised other questions that I think need to be answered or
> otherwise documented, specifically:
> Lessons Learned / Further Questions
>
>    1. Lightweight edges are not statistically faster with OrientDB 2.0.X
>    and can't be indexed -- don't use them unless you're only using at most a
>    handful of edges for any given node.
>    2. Groovy 2.4.3 is either significantly faster, or as fast as Groovy
>    1.8.9, depending upon the use case.
>       - *Are there any known reasons why we shouldn't use Groovy 2.4.X
>       for our Gremlin queries instead of Groovy 1.8.9?*
>    3. OrientBaseGraph::createIndex() is both awkward to use and
>    under-documented.
>       - *How do you use createIndex() to create an index with a composite
>       key?*
>       - *There's almost no useful documentation of the Parameter class.*
>       - *What's the difference in performance / implementation of UNIQUE
>       and UNIQUE_HASH_INDEX indexes?*
>    4. Vertex::getEdges() checks for useful indexes, but doesn't make use
>    of the edge index I defined.
>       - *Why not?*
>       - *What indexes would be used by getEdges()?*
>       - *How would I define them?*
>    5. Am I correct in surmising that edge data (eg: edge @rid
>    <https://github.com/rid>) is stored on the source and target node
>    records, in addition to on the edge record?
>       - How do we tune this?
>       - Is this more helpful for Gremlin or SQL queries?
>       - What are the practical limits to scalability, for both SQL and
>       Gremlin?
>    6. *What types of indexes could be defined to improve the performance
>    of Gremlin queries when working with (or through) super-nodes?*
>
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