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 tried to back tick the "timestamp" and it worked.
> val result = sqlContext.sql("select toSeconds(`timestamp`) as t,
> count(rid) as qps from blah group by toSeconds(`timestamp`),qi.clientName")
>
> so, it seems sql context is supporting UDF.
>
>
>
> On Tue, Feb 10, 2015 at 2:32 PM, Michael Armbrust <mich...@databricks.com>
> wrote:
>
>> 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 define a UDF.
>>>
>>> def toSeconds(timestamp: Long): Long = timestamp/100000
>>>
>>> sqlContext.registerFunction("toSeconds", toSeconds _)
>>>
>>> val result = sqlContext.sql("select toSeconds(timestamp) from blah");
>>> I get the following error.
>>> java.lang.RuntimeException: [1.18] failure: ``)'' expected but
>>> `timestamp' found
>>>
>>> select toSeconds(timestamp) from blah
>>>
>>> My end goal is as follows:
>>> We have log file with timestamps in microseconds and I would like to
>>> group by entries with second level precision, so eventually I want to run
>>> the query
>>> select toSeconds(timestamp) as t, count(x) from table group by t,x
>>>
>>>
>>>
>>>
>>
>
