Josh Mahonin created PHOENIX-2288:
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Summary: Phoenix-Spark: PDecimal precision and scale aren't
carried through to Spark DataFrame
Key: PHOENIX-2288
URL: https://issues.apache.org/jira/browse/PHOENIX-2288
Project: Phoenix
Issue Type: Bug
Affects Versions: 4.5.2
Reporter: Josh Mahonin
When loading a Spark dataframe from a Phoenix table with a 'DECIMAL' type, the
underlying precision and scale aren't carried forward to Spark.
The Spark catalyst schema converter should load these from the underlying
column. These appear to be exposed in the ResultSetMetaData, but if there was a
way to expose these somehow through ColumnInfo, it would be cleaner.
I'm not sure if Pig has the same issues or not, but I suspect it may.
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