Thanks, I *tested* the function offline and works Tested too with select * from after convert the data and see the new data good *but* if I *register as temp table* to *join other table* stilll shows *the same error*.
ValueError: year out of range Best, *Daniel Lopes* Chief Data and Analytics Officer | OneMatch c: +55 (18) 99764-2733 | https://www.linkedin.com/in/dslopes www.onematch.com.br <http://www.onematch.com.br/?utm_source=EmailSignature&utm_term=daniel-lopes> On Thu, Sep 8, 2016 at 9:43 AM, Marco Mistroni <mmistr...@gmail.com> wrote: > Daniel > Test the parse date offline to make sure it returns what you expect > If it does in spark shell create a df with 1 row only and run ur UDF. U > should b able to see issue > If not send me a reduced CSV file at my email and I give it a try this eve > ....hopefully someone else will b able to assist in meantime > U don't need to run a full spark app to debug issue > Ur problem. Is either in the parse date or in what gets passed to the UDF > Hth > > On 8 Sep 2016 1:31 pm, "Daniel Lopes" <dan...@onematch.com.br> wrote: > >> Thanks Marco for your response. >> >> The field came encoded by SQL Server in locale pt_BR. >> >> The code that I am formating is: >> >> -------------------------- >> def parse_date(argument, format_date='%Y-%m%d %H:%M:%S'): >> try: >> locale.setlocale(locale.LC_TIME, 'pt_BR.utf8') >> return datetime.strptime(argument, format_date) >> except: >> return None >> >> convert_date = funcspk.udf(lambda x: parse_date(x, '%b %d %Y %H:%M'), >> TimestampType()) >> >> transacoes = transacoes.withColumn('tr_Vencimento', >> convert_date(transacoes.*tr_Vencimento*)) >> >> -------------------------- >> >> the sample is >> >> ------------------------- >> +-----------------+----------------+-----------------+------ >> --+------------------+-----------+-----------------+-------- >> -------------+------------------+--------------+------------ >> ----+-------------+-------------+----------------------+---- >> ------------------------+--------------------+--------+----- >> ---+------------------+----------------+--------+----------+ >> -----------------+----------+ >> |tr_NumeroContrato|tr_TipoDocumento| *tr_Vencimento*|tr_Valor|tr_Dat >> aRecebimento|tr_TaxaMora|tr_DescontoMaximo|tr_DescontoMaxi >> moCorr|tr_ValorAtualizado|tr_ComGarantia|tr_ValorDesconto|tr >> _ValorJuros|tr_ValorMulta|tr_DataDevolucaoCheque|tr_ValorCorrigidoContratante| >> tr_DataNotificacao|tr_Banco|tr_Praca|tr_DescricaoAlinea|tr_ >> Enquadramento|tr_Linha|tr_Arquivo|tr_DataImportacao|tr_Agencia| >> +-----------------+----------------+-----------------+------ >> --+------------------+-----------+-----------------+-------- >> -------------+------------------+--------------+------------ >> ----+-------------+-------------+----------------------+---- >> ------------------------+--------------------+--------+----- >> ---+------------------+----------------+--------+----------+ >> -----------------+----------+ >> | 0000992600153001| |*Jul 20 2015 12:00*| 254.35| >> null| null| null| null| >> null| 0| null| null| null| >> null| 254.35|2015-07-20 12:00:...| null| >> null| null| null| null| null| >> null| null| >> | 0000992600153001| |*Abr 20 2015 12:00*| 254.35| >> null| null| null| null| >> null| 0| null| null| null| >> null| 254.35| null| null| >> null| null| null| null| null| >> null| null| >> | 0000992600153001| |Nov 20 2015 12:00| 254.35| >> null| null| null| null| >> null| 0| null| null| null| >> null| 254.35|2015-11-20 12:00:...| null| >> null| null| null| null| null| >> null| null| >> | 0000992600153001| |Dez 20 2015 12:00| 254.35| >> null| null| null| null| >> null| 0| null| null| null| >> null| 254.35| null| null| >> null| null| null| null| null| >> null| null| >> | 0000992600153001| |Fev 20 2016 12:00| 254.35| >> null| null| null| null| >> null| 0| null| null| null| >> null| 254.35| null| null| >> null| null| null| null| null| >> null| null| >> | 0000992600153001| |Fev 20 2015 12:00| 254.35| >> null| null| null| null| >> null| 0| null| null| null| >> null| 254.35| null| null| >> null| null| null| null| null| >> null| null| >> | 0000992600153001| |Jun 20 2015 12:00| 254.35| >> null| null| null| null| >> null| 0| null| null| null| >> null| 254.35|2015-06-20 12:00:...| null| >> null| null| null| null| null| >> null| null| >> | 0000992600153001| |Ago 20 2015 12:00| 254.35| >> null| null| null| null| >> null| 0| null| null| null| >> null| 254.35| null| null| >> null| null| null| null| null| >> null| null| >> | 0000992600153001| |Jan 20 2016 12:00| 254.35| >> null| null| null| null| >> null| 0| null| null| null| >> null| 254.35|2016-01-20 12:00:...| null| >> null| null| null| null| null| >> null| null| >> | 0000992600153001| |Jan 20 2015 12:00| 254.35| >> null| null| null| null| >> null| 0| null| null| null| >> null| 254.35|2015-01-20 12:00:...| null| >> null| null| null| null| null| >> null| null| >> | 0000992600153001| |Set 20 2015 12:00| 254.35| >> null| null| null| null| >> null| 0| null| null| null| >> null| 254.35| null| null| >> null| null| null| null| null| >> null| null| >> | 0000992600153001| |Mai 20 2015 12:00| 254.35| >> null| null| null| null| >> null| 0| null| null| null| >> null| 254.35| null| null| >> null| null| null| null| null| >> null| null| >> | 0000992600153001| |Out 20 2015 12:00| 254.35| >> null| null| null| null| >> null| 0| null| null| null| >> null| 254.35| null| null| >> null| null| null| null| null| >> null| null| >> | 0000992600153001| |Mar 20 2015 12:00| 254.35| >> null| null| null| null| >> null| 0| null| null| null| >> null| 254.35|2015-03-20 12:00:...| null| >> null| null| null| null| null| >> null| null| >> +-----------------+----------------+-----------------+------ >> --+------------------+-----------+-----------------+-------- >> -------------+------------------+--------------+------------ >> ----+-------------+-------------+----------------------+---- >> ------------------------+--------------------+--------+----- >> ---+------------------+----------------+--------+----------+ >> -----------------+----------+ >> >> ------------------------- >> >> *Daniel Lopes* >> Chief Data and Analytics Officer | OneMatch >> c: +55 (18) 99764-2733 | https://www.linkedin.com/in/dslopes >> >> www.onematch.com.br >> <http://www.onematch.com.br/?utm_source=EmailSignature&utm_term=daniel-lopes> >> >> On Thu, Sep 8, 2016 at 5:33 AM, Marco Mistroni <mmistr...@gmail.com> >> wrote: >> >>> Pls paste code and sample CSV >>> I m guessing it has to do with formatting time? >>> Kr >>> >>> On 8 Sep 2016 12:38 am, "Daniel Lopes" <dan...@onematch.com.br> wrote: >>> >>>> Hi, >>>> >>>> I'm* importing a few CSV*s with spark-csv package, >>>> Always when I give a select at each one looks ok >>>> But when i join then with sqlContext.sql give me this error >>>> >>>> all tables has fields timestamp >>>> >>>> joins are not with this dates >>>> >>>> >>>> *Py4JJavaError: An error occurred while calling o643.showString.* >>>> : org.apache.spark.SparkException: Job aborted due to stage failure: >>>> Task 54 in stage 92.0 failed 10 times, most recent failure: Lost task 54.9 >>>> in stage 92.0 (TID 6356, yp-spark-dal09-env5-0036): >>>> org.apache.spark.api.python.PythonException: Traceback (most recent >>>> call last): >>>> File "/usr/local/src/spark160master/spark-1.6.0-bin-2.6.0/python/ >>>> lib/pyspark.zip/pyspark/worker.py", line 111, in main >>>> process() >>>> File "/usr/local/src/spark160master/spark-1.6.0-bin-2.6.0/python/ >>>> lib/pyspark.zip/pyspark/worker.py", line 106, in process >>>> serializer.dump_stream(func(split_index, iterator), outfile) >>>> File "/usr/local/src/spark160master/spark-1.6.0-bin-2.6.0/python/ >>>> lib/pyspark.zip/pyspark/serializers.py", line 263, in dump_stream >>>> vs = list(itertools.islice(iterator, batch)) >>>> File >>>> "/usr/local/src/spark160master/spark/python/pyspark/sql/functions.py", >>>> line 1563, in <lambda> >>>> func = lambda _, it: map(lambda x: returnType.toInternal(f(*x)), it) >>>> File "/usr/local/src/spark160master/spark-1.6.0-bin-2.6.0/python/ >>>> lib/pyspark.zip/pyspark/sql/types.py", line 191, in toInternal >>>> else time.mktime(dt.timetuple())) >>>> *ValueError: year out of range * >>>> >>>> Any one knows this problem? >>>> >>>> Best, >>>> >>>> *Daniel Lopes* >>>> Chief Data and Analytics Officer | OneMatch >>>> c: +55 (18) 99764-2733 | https://www.linkedin.com/in/dslopes >>>> >>>> www.onematch.com.br >>>> <http://www.onematch.com.br/?utm_source=EmailSignature&utm_term=daniel-lopes> >>>> >>> >>
