DataFrame uses different syntax from SQL query.
I searched unit tests but didn't find any in the form of df.select("select
...")
Looks like you should use sqlContext as other people suggested.
On Fri, Dec 25, 2015 at 8:29 AM, Eugene Morozov <evgeny.a.moro...@gmail.com>
wrote:
> Thanks for the comments, although the issue is not in limit() predicate.
> It's something with spark being unable to resolve the expression.
>
> I can do smth like this. It works as it suppose to:
> df.select(df.col("*")).where(df.col("x1").equalTo(3.0)).show(5);
>
> But I think old fashioned sql style have to work also. I have
> df.registeredTempTable("tmptable") and then
>
> df.select("select * from tmptable where x1 = '3.0'").show();
>
> org.apache.spark.sql.AnalysisException: cannot resolve 'select * from tmp
> where x1 = '1.0'' given input columns x1, x4, x5, x3, x2;
>
> at
> org.apache.spark.sql.catalyst.analysis.package$AnalysisErrorAt.failAnalysis(package.scala:42)
> at
> org.apache.spark.sql.catalyst.analysis.CheckAnalysis$$anonfun$checkAnalysis$1$$anonfun$apply$2.applyOrElse(CheckAnalysis.scala:56)
> at
> org.apache.spark.sql.catalyst.analysis.CheckAnalysis$$anonfun$checkAnalysis$1$$anonfun$apply$2.applyOrElse(CheckAnalysis.sca
>
>
> From the first statement I conclude that my custom datasource is perfectly
> fine.
> Just wonder how to fix / workaround that.
> --
> Be well!
> Jean Morozov
>
> On Fri, Dec 25, 2015 at 6:13 PM, Igor Berman <igor.ber...@gmail.com>
> wrote:
>
>> sqlContext.sql("select * from table limit 5").show() (not sure if limit 5
>> supported)
>>
>> or use Dmitriy's solution. select() defines your projection when you've
>> specified entire query
>>
>> On 25 December 2015 at 15:42, Василец Дмитрий <pronix.serv...@gmail.com>
>> wrote:
>>
>>> hello
>>> you can try to use df.limit(5).show()
>>> just trick :)
>>>
>>> On Fri, Dec 25, 2015 at 2:34 PM, Eugene Morozov <
>>> evgeny.a.moro...@gmail.com> wrote:
>>>
>>>> Hello, I'm basically stuck as I have no idea where to look;
>>>>
>>>> Following simple code, given that my Datasource is working gives me an
>>>> exception.
>>>>
>>>> DataFrame df = sqlc.load(filename,
>>>> "com.epam.parso.spark.ds.DefaultSource");
>>>> df.cache();
>>>> df.printSchema(); <-- prints the schema perfectly fine!
>>>>
>>>> df.show(); <-- Works perfectly fine (shows table with
>>>> 20 lines)!
>>>> df.registerTempTable("table");
>>>> df.select("select * from table limit 5").show(); <-- gives weird exception
>>>>
>>>> Exception is:
>>>>
>>>> AnalysisException: cannot resolve 'select * from table limit 5' given
>>>> input columns VER, CREATED, SOC, SOCC, HLTC, HLGTC, STATUS
>>>>
>>>> I can do a collect on a dataframe, but cannot select any specific
>>>> columns either "select * from table" or "select VER, CREATED from table".
>>>>
>>>> I use spark 1.5.2.
>>>> The same code perfectly works through Zeppelin 0.5.5.
>>>>
>>>> Thanks.
>>>> --
>>>> Be well!
>>>> Jean Morozov
>>>>
>>>
>>>
>>
>
