On Mar 29, 2016 8:56 AM, "Alexander Krasnukhin" <the.malk...@gmail.com>
wrote:
> e.g. select max value for column "foo":
>
> from pyspark.sql.functions import max, col
> df.select(max(col("foo"))).show()
>
> On Tue, Mar 29, 2016 at 2:15 AM, Andy Davidson <
> a...@santacruzintegration.com> wrote:
>
>> I am using pyspark 1.6.1 and python3.
>>
>>
>> *Given:*
>>
>> idDF2 = idDF.select(idDF.id, idDF.col.id )
>> idDF2.printSchema()
>> idDF2.show()
>>
>> root
>> |-- id: string (nullable = true)
>> |-- col[id]: long (nullable = true)
>>
>> +----------+----------+
>> | id| col[id]|
>> +----------+----------+
>> |1008930924| 534494917|
>> |1008930924| 442237496|
>> |1008930924| 98069752|
>> |1008930924|2790311425|
>> |1008930924|3300869821|
>>
>>
>>
>> *I have to do a lot of work to get the max value*
>>
>>
>> rows = idDF2.select("col[id]").describe().collect()
>> hack = [s for s in rows if s.summary == 'max']
>> print(hack)
>> print(hack[0].summary)
>> print(type(hack[0]))
>> print(hack[0].asDict()['col[id]'])
>> maxStr = hack[0].asDict()['col[id]']
>> ttt = int(maxStr)
>> numDimensions = 1 + ttt
>> print(numDimensions)
>>
>>
>> Is there an easier way?
>>
>>
>> Kind regards
>>
>>
>> Andy
>>
>>
>
>
> --
> Regards,
> Alexander
>
