Immo Universal Decoding 3.2 360 👌🏿
Immo Universal Decoding 3.2 360
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PySpark – Convert/Make [list of strings] an RDD
So I have a [list of strings] called “aaa”.
I want to use Spark to convert it into an RDD that looks something like
[RDD[(‘3’, ‘1’, ‘2’), (‘4’, ‘2’, ‘4’)….]
This is because later in the code I want to use it as a table. So then I can join the table with itself, which is what I’m trying to do.
I have tried using JavaConverters but it doesn’t seem to be working.
I’m a bit new to Spark, so any tips on how to solve the problem would be great.
A:
Please try this.
RDD.flatMap(mapFunc) returns a new RDD which is equivalent to ing elements of this RDD and another RDD and then applying mapFunc on the resulting RDD. So your new RDD is the same as:
RDD
So you can use:
RDD.flatMap(List::new)
Tuesday, September 7, 2008
I’ve been blessed with this season of life and want to share what I’ve learned with friends and maybe even strangers.
First, an explanation of why I am so thankful. Some nights before bed I won’t feel “prepared” for sleep. Sometimes the night is still giving me good news and I have a swell restful sleep… other times it’s just one more day of trying to do it all. Either way, it’s a season I’m learning to be glad about.
In my early 30’s I thought I would never have a settled career or family… I’ve had it in my heart to do just this and now in my 40’s God is, indeed, answering prayers in my life that I could never have known about. I’ve learned it’s a season of trust. One of delight. One of….
“I believe that what I do matters. I will try to be good at it.”
Peter Herschend used the sentence in one of his stories about his travels. He didn’t explain it, but it was evident to me
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