Reynold Xin created SPARK-8753:
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Summary: Create an IntervalType data type
Key: SPARK-8753
URL: https://issues.apache.org/jira/browse/SPARK-8753
Project: Spark
Issue Type: New Feature
Components: SQL
Reporter: Reynold Xin
We should create an IntervalType data type that represents time intervals.
Internally, we can use a long value to store it, similar to Timestamp (i.e.
100ns precision). This data type initially cannot be stored externally, but
only used for expressions.
1. Add IntervalType data type.
2. Add parser support in our SQL expression, in the form of
{code}
INTERVAL [number] [unit]
{code}
unit can be YEAR[S], MONTH[S], WEEK[S], DAY[S], HOUR[S], MINUTE[S], SECOND[S],
MILLISECOND[S], MICROSECOND[S], or NANOSECOND[S].
3. Add in the analyzer to make sure we throw some exception to prevent saving a
dataframe/table with IntervalType out to external systems.
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