} else {
ab += attributes(i)
}
}
new GenericRow(ab.toArray)
}
}
2017-01-13
lk_spark
发件人："lk_spark"
发送时间：2017-01-13 09:49
主题：Re: Re: Re: how to change datatype by useing StructType
收件人："Nicholas Hakobian"
抄送："user.sp
Thank you Nicholas , if the sourcedata was csv format ,CSV reader works well.
2017-01-13
lk_spark
发件人：Nicholas Hakobian
发送时间：2017-01-13 08:35
主题：Re: Re: Re: how to change datatype by useing StructType
收件人："lk_spark"
抄送："ayan guha","user.spark"
Have you t
feProjection.apply(Unknown Source)
> at org.apache.spark.sql.catalyst.encoders.ExpressionEncoder.
> toRow(ExpressionEncoder.scala:290)
> all the file was Any, what should I do?
>
>
>
> 2017-01-12
> ----------
> lk_spark
> ---
")).map(attributes =>
Row(attributes(0),attributes(1),attributes(2)))
but I need read data by configurable.
2017-01-12
lk_spark
发件人：ayan guha
发送时间：2017-01-12 14:34
主题：Re: how to change datatype by useing StructType
收件人："lk_spark","user.spark"
抄送：
Do you have yea
spark
发件人：ayan guha
发送时间：2017-01-12 14:34
主题：Re: how to change datatype by useing StructType
收件人："lk_spark","user.spark"
抄送：
Do you have year in your data?
On Thu, 12 Jan 2017 at 5:24 pm, lk_spark wrote:
hi,all
I have a txt file ,and
Do you have year in your data?
On Thu, 12 Jan 2017 at 5:24 pm, lk_spark wrote:
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> hi,all
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> I have a txt file ,and I want to process it as dataframe
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>name1,30
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> val sch
