Andrew Purtell created PHOENIX-1071:
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Summary: Provide integration for exposing Phoenix tables as Spark
RDDs
Key: PHOENIX-1071
URL: https://issues.apache.org/jira/browse/PHOENIX-1071
Project: Phoenix
Issue Type: New Feature
Reporter: Andrew Purtell
A core concept of Apache Spark is the resilient distributed dataset (RDD), a
"fault-tolerant collection of elements that can be operated on in parallel".
One can create a RDDs referencing a dataset in any external storage system
offering a Hadoop InputFormat, like HBase's TableInputFormat and
TableSnapshotInputFormat. Phoenix as JDBC driver supporting a SQL dialect can
provide interesting and deep integration.
Add the ability to save RDDs back to Phoenix with a {{saveAsPhoenixTable}}
action, implicitly creating necessary schema on demand.
Add support for {{filter}} transformations that push predicates to the server.
Add a new {{select}} transformation supporting a LINQ-like DSL, for example:
{code}
// Count the number of different coffee varieties offered by each
// supplier from Guatemala
phoenixTable("coffees")
.select("supplier")(c =>
where(c.origin == "GT"))
.countByKey()
.foreach(r => println(r._1 + "=" + r._2))
{code}
Support conversions between Scala and Java types and Phoenix table data.
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