Regarding backticks: Right. You need backticks to quote the column name
timestamp because timestamp is a reserved keyword in our parser.
On Tue, Feb 10, 2015 at 3:02 PM, Mohnish Kodnani mohnish.kodn...@gmail.com
wrote:
actually i tried in spark shell , got same error and then for some reason
i
that explains a lot...
Is there a list of reserved keywords ?
On Wed, Feb 11, 2015 at 7:56 AM, Yin Huai yh...@databricks.com wrote:
Regarding backticks: Right. You need backticks to quote the column name
timestamp because timestamp is a reserved keyword in our parser.
On Tue, Feb 10, 2015
Hi,
I am trying a very simple registerFunction and it is giving me errors.
I have a parquet file which I register as temp table.
Then I define a UDF.
def toSeconds(timestamp: Long): Long = timestamp/10
sqlContext.registerFunction(toSeconds, toSeconds _)
val result = sqlContext.sql(select
The simple SQL parser doesn't yet support UDFs. Try using a HiveContext.
On Tue, Feb 10, 2015 at 1:44 PM, Mohnish Kodnani mohnish.kodn...@gmail.com
wrote:
Hi,
I am trying a very simple registerFunction and it is giving me errors.
I have a parquet file which I register as temp table.
Then I
