Hitman 2: Silent Assassin (GOG) ➟

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Hitman 2: Silent Assassin (GOG) ➟



 
 
 
 
 
 
 

Hitman 2: Silent Assassin (GOG)

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In order for Hitman 2 to be playable, you need to make sure to download and install the latest NVIDIA drivers. This. Want to have fun? A vast selection of titles, DRM-free, with free goodies, and lots of pure customer love.Q:

How to do an update in PySpark on multiple columns/columns excluding some columns?

I have to perform a update on one row in a Spark SQL table (in PySpark).
The table is:
name | lat | long | remark | remarks | sdfi
———————————————
aa |xx.XX|xx.XX|remarks_0 |SDFI

My requirement is that I want to remove all the columns except the ones mentioned in the remark column. I tried
SELECT * FROM localite where remark=remarks_0

The table is new and there are no data as of now. This query has been in a trigger on another table.
The result of the above query is:
name | lat | long | remark
—————————————————
aa |xx.XX|xx.XX|remarks_0

I tried to add the remaining fields in the SQL statement like
SELECT * FROM localite where remark=remarks_0 and remaining_fields

but the exact same table gets returned.
How can this be done?

A:

In this case simply use PARTITION BY ROW() instead of SELECT *, since the intention is to only change one row in the table and not all of it.

A:

In addition to @evanmacarol’s answer, you could also use the spark-submit scala method of Read.withColumnRenamed:

public Read
withColumnRenamed(cols: java.util.Set[String], colsPrefix: String)(f: (String, String) => String): DataFrame
With new column names.
Renames the existing columns of this DataFrame with
new column names.

val sqlContext = spark.sqlContext

val df = spark.read.csv(“c:\\Users\\Utility\\asdf.csv”)

val df2 = df.withColumnRenamed(“*”,”new_name”)

To include the original name of the columns,
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