Scala : Read csv , match key and return value
How to get value from Scala map:
Scala : Read csv , match key and return value
How to get value from Scala map:
Scala : Read csv , match key and return value
How to get value from Scala map:
Scala : Read csv , match key and return value
How to get value from Scala map:
Spark-Scala : Read csv ( string , int ) 2 columns
I want to read a csv which has one string and one INT columns ( just two of them ) . I want to pass a string variable to it , match it with first col and return value from second INT col . By default if no key matches and it returns a dummy value .
Best way to find multiple ids in list of files in spark scala
I have a list of IDs that I want to find in my parquet files. For each of the IDs I do have an idea in which files they could be present i.e. I would have a mapping where I have
ID1 -> file1, file2
ID2 -> file2, file5
ID -> file3, file4 and so on…
What would be best way in spark scala to do such a task. I thought of plenty ways.
Spark lazy val evaluates twice for dataframe
I have a lazy val
defined in my code studentDataReader
which eventually reads data from an S3 path. My understanding is that even if I call this multiple times, it should call S3 once only.
Aggregator Function in Scala Spark over multiple columns to create a hash
I’m trying to write a custom UDAF/Aggregator in Scala Spark 3.3.x or above to get the concatenated hash of a hash
column ordered by an id
column.
DF has column after drop
I am attempting to drop a column using the drop function. But the column remains after the drop. The problem is evident in the following code:
Can I use same SparkSession in different threads
In my spark app I use many temp views to read datasets and then use it in huge sql expression, like that: