function2 | configurable drop-in replacement to std : : function | Functional Programming library

This looks like a good case for a try-catch approach. You could throw an exception in either of the methods e.g. StatusAbortedException and catch that to return the appropriate Status. It could look like this

Well, you should turn off calculation and screenupdating. If that is not enough make sure you collect all your rows to delete in a variable using Union() and delete them at once in the end (this will be faster than deleting each line separately).

The problem is in

The answer is the same as before. Make all Spark and Scala versions the exact same. What's happening is kafka_2.13 depends on Scala 2.13, and the rest of your dependencies are 2.11... Spark 2.4 doesn't support Scala 2.13

You can more easily do this with Maven properties

Spark and Scala version mismatch is what causing this. If you use below set of dependencies this problem should be resolved.

One observation I have (which might not be 100% true as well) is if we have spark-core_2.11 (or any spark-xxxx_2.11) but scala-library version is 2.12.X I always ran into issues. Easy thing to memorize might be like if we have spark-xxxx_2.11 then use scala-library 2.11.X but not 2.12.X.

Please fix scala-reflect and scala-compile versions also to 2.11.X

A Seqable is a lazily calculated sequence of values, and in general, you are only allowed to iterate through it once.

Thus, the general solution is to first store all of the values (e.g. in a tuple) and then you can pass this tuple to each of your functions:

If you convert each filtering method into a function() that will return a single array or list, you might be able to replace the commented block with a for loop in the following format:

Are you just looking for the inner product?

Add this to your project-level build.gradle