Github user jmahonin commented on the pull request:
https://github.com/apache/phoenix/pull/59#issuecomment-88569122
I was able to spend a bit more time on the RelationProvider work. The DDL
for custom providers doesn't work through the 'sql()' method on
SparkSQLContext, perhaps by design or perhaps due to a bug, but the 'load()'
method does work to create DataFrames using arbitrary data sources.
I'm still not entirely familiar with their API, and a lot of it is still
very new and probably subject to churn, but I tried to base the it on existing
examples in the Spark repo, such as the JDBC and Parquet data sources.
I've got a new commit on a side branch here:
https://github.com/FileTrek/phoenix/commit/16f4540ef0889fc6534c91b8638c16001114ba1a
If you're all OK with those changes going in on this PR, I can push them up
here. Otherwise, I'll stash them aside for a new ticket.
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