Well, then apply md5 on all columns:
ds.select(ds.columns.map(col) ++ ds.columns.map(column =>
md5(col(column)).as(s"$column hash")): _*).show(false)
Enrico
Am 02.03.20 um 11:10 schrieb Chetan Khatri:
Thanks Enrico
I want to compute hash of all the columns value in the row.
On Fri, Feb 28, 2020 at 7:28 PM Enrico Minack <m...@enrico.minack.dev
<mailto:m...@enrico.minack.dev>> wrote:
This computes the md5 hash of a given column id of Dataset ds:
ds.withColumn("id hash", md5($"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
