Thanks Enrico. I meant one hash of each single row in extra column
something like this.. val newDs = typedRows.withColumn("hash", hash(
typedRows.columns.map(col): _*))
On Mon, Mar 2, 2020 at 3:51 PM Enrico Minack <m...@enrico.minack.dev> wrote:
> Well, then apply md5 on all columns:
>
> ds.select(ds.columns.map(col) ++ ds.columns.map(column =>
> md5(col(column)).as(s"$column hash")): _*).show(false)
>
> Enrico
>
> Am 02.03.20 um 11:10 schrieb Chetan Khatri:
>
> Thanks Enrico
> I want to compute hash of all the columns value in the row.
>
> On Fri, Feb 28, 2020 at 7:28 PM Enrico Minack <m...@enrico.minack.dev>
> wrote:
>
>> This computes the md5 hash of a given column id of Dataset ds:
>>
>> ds.withColumn("id hash", md5($"id")).show(false)
>>
>> Test with this Dataset ds:
>>
>> import org.apache.spark.sql.types._
>> val ds = spark.range(10).select($"id".cast(StringType))
>>
>> Available are md5, sha, sha1, sha2 and hash:
>> https://spark.apache.org/docs/2.4.5/api/sql/index.html
>>
>> Enrico
>>
>>
>> Am 28.02.20 um 13:56 schrieb Chetan Khatri:
>> > Hi Spark Users,
>> > How can I compute Hash of each row and store in new column at
>> > Dataframe, could someone help me.
>> >
>> > Thanks
>>
>>
>>
>
