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From Suraj Shetiya <surajshet...@gmail.com>
Subject Re: Query regarding infering data types in pyspark
Date Wed, 15 Apr 2015 16:29:25 GMT
Thank you :)

That worked. I had another query regarding date being used as filter.

With the new df which has the column cast as date I am unable to apply a
filter that compares the dates.
The query I am using is :
df.filter(df.Datecol > datetime.date(2015,1,1)).show()

I do not want to use date as a string to compare them. Please suggest.


On Tue, Apr 14, 2015 at 4:59 AM, Davies Liu <davies@databricks.com> wrote:

> Hey Suraj,
>
> You should use "date" for DataType:
>
> df.withColumn(df.DateCol.cast("date"))
>
> Davies
>
> On Sat, Apr 11, 2015 at 10:57 PM, Suraj Shetiya <surajshetiya@gmail.com>
> wrote:
> > Humble reminder
> >
> > On Sat, Apr 11, 2015 at 12:16 PM, Suraj Shetiya <surajshetiya@gmail.com>
> > wrote:
> >>
> >> Hi,
> >>
> >> Below is one line from the json file.
> >> I have highlighted the field that represents the date.
> >>
> >>
> >>
> "YEAR":2015,"QUARTER":1,"MONTH":1,"DAY_OF_MONTH":31,"DAY_OF_WEEK":6,"FL_DATE":"2015-01-31","UNIQUE_CARRIER":"NK","AI
> >>
> RLINE_ID":20416,"CARRIER":"NK","TAIL_NUM":"N614NK","FL_NUM":126,"ORIGIN_AIRPORT_ID":11697,"ORIGIN_AIRPORT_SEQ_ID":1169
> >>
> 703,"ORIGIN_CITY_MARKET_ID":32467,"ORIGIN":"FLL","ORIGIN_CITY_NAME":"Fort
> >> Lauderdale, FL","ORIGIN_STATE_ABR":"FL","ORI
> >>
> GIN_STATE_FIPS":12,"ORIGIN_STATE_NM":"Florida","ORIGIN_WAC":33,"DEST_AIRPORT_ID":13577,"DEST_AIRPORT_SEQ_ID":1357702,"
> >> DEST_CITY_MARKET_ID":31135,"DEST":"MYR","DEST_CITY_NAME":"Myrtle Beach,
> >> SC","DEST_STATE_ABR":"SC","DEST_STATE_FIPS":45
> ,"DEST_STATE_NM":"South
> >>
> Carolina","DEST_WAC":37,"CRS_DEP_TIME":2010,"DEP_TIME":2009.0,"DEP_DELAY":-1.0,"DEP_DELAY_NEW"
> >>
> :0.0,"DEP_DEL15":0.0,"DEP_DELAY_GROUP":-1.0,"DEP_TIME_BLK":"2000-2059","TAXI_OUT":17.0,"WHEELS_OFF":2026.0,"WHEELS_ON"
> >>
> :2147.0,"TAXI_IN":5.0,"CRS_ARR_TIME":2149,"ARR_TIME":2152.0,"ARR_DELAY":3.0,"ARR_DELAY_NEW":3.0,"ARR_DEL15":0.0,"ARR_DELAY_GROUP":0.0,"ARR_TIME_BLK":"2100-2159","Unnamed:
> >> 47":null}
> >>
> >> Please let me know if you need access to the dataset.
> >>
> >> On Sat, Apr 11, 2015 at 11:56 AM, Davies Liu <davies@databricks.com>
> >> wrote:
> >>>
> >>> What's the format you have in json file?
> >>>
> >>> On Fri, Apr 10, 2015 at 6:57 PM, Suraj Shetiya <surajshetiya@gmail.com
> >
> >>> wrote:
> >>> > Hi,
> >>> >
> >>> > In pyspark when if I read a json file using sqlcontext I find that
> the
> >>> > date
> >>> > field is not infered as date instead it is converted to string. And
> >>> > when I
> >>> > try to convert it to date using
> >>> > df.withColumn(df.DateCol.cast("timestamp"))
> >>> > it does not parse it successfuly and adds a null instead there.
> Should
> >>> > I
> >>> > use UDF to convert the date ? Is this expected behaviour (not
> throwing
> >>> > an
> >>> > error after failure to cast all fields)?
> >>> >
> >>> > --
> >>> > Regards,
> >>> > Suraj
> >>
> >>
> >>
> >>
> >> --
> >> Regards,
> >> Suraj
> >
> >
> >
> >
> > --
> > Regards,
> > Suraj
>



-- 
Regards,
Suraj

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