1

I have a dataframe df, which contains below data:

**customers**   **product**   **Val_id**
     1               A            1
     2               B            X
     3               C               
     4               D            Z

I have successfully filtered for data where column val_id is blank

df.where(col("val_id").isin(""))

But I am not able to figure out a way to filter data where column val_id is not blank, i tried something like below, but did not work for me: 

df.where(col("val_id").isnotin(""))

Can anyone please help me to achieve it using Spark Scala.

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3 Answers 3

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3

You can use filter to get desired output:

df.filter("rule_id != ''")
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1 Comment

How do I collect all those rows/records from a dataframe which didn't pass this filter condition. any inbuilt methods or else?
2

Assuming Val_id is of String type, you can use this inequality operator !==:

df.where(col("Val_id") !== "").show

Conversely, you can also use === for matching the blank.

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1 Comment

How do I collect all those rows/records from a dataframe which didn't pass this filter condition. any inbuilt methods or else?
0

If column type is String:

df.where(trim(col("val_id")) != "")
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1 Comment

How do I collect all those rows/records from a dataframe which didn't pass this filter condition. any inbuilt methods or else?

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