Hi Alessandro
Could you specify which query were you able to run successfully?
1. sqlContext.sql("SELECT * FROM Logs as l where l.timestamp = '2012-10-08
16:10:36' ").collect
OR
2. sqlContext.sql("SELECT * FROM Logs as l where cast(l.timestamp as string)
= '2012-10-08 16:10:36.0').collect
I am able to run only the second query, i.e. the one with timestamp casted
to string. What is the use of even parsing my data to store timestamp values
when I can't do >= and <= comparisons on timestamp??
In the above query, I am ultimately doing string comparisons, while I
actually want to do comparison on timestamp values.
*My Spark version is 1.1.0*
Please somebody clarify why am I not able to perform queries like
Select * from table1 where endTime >= '2015-01-01 00:00:00' and endTime <=
'2015-01-10 00:00:00'
without getting anything in the output.
Even, the following doesn't work
Select * from table1 where endTime >= CAST('2015-01-01 00:00:00' as
timestamp) and endTime <= CAST('2015-01-10 00:00:00' as timestamp)
I get the this error : *java.lang.RuntimeException: [1.99] failure:
``STRING'' expected but identifier timestamp found*
Thanks
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