I Could Go Running
Blues-rock band from Oslo, Norway. Winners of the 2008 Union Blues Cup at N… Read Full Bio ↴Blues-rock band from Oslo, Norway. Winners of the 2008 Union Blues Cup at Notodden Blues Festival. Spent all of 2009 on tour, beginning in Memphis, Tennessee and travelling throughout the nordic countries.

The band split up in 2011.

Members throughout the years:
Katrine Bergersen Klemp (vocals)
Fredrik Bergersen Klemp (bass and vocals)
Martin Bergersen Klemp (drums)
Hans Olav Ingholm (guitars)
Magnus Nilsen (guitars)
Erik Lindboe Pedersen (drums)
Dan Edvard Tømte (keys)
Henrik Bergersen (guitars)
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I Could Go Running
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Learning Journal

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rishigc

Hi, your videos are very interesting. Could you please provide me the URL of the video where you discuss Spark UI ?

Matthews CZ

I have to say that your explanations are better than the actual trainings provided by Databricks/Partner Academy. Thank you for your work!

Hossein Mousavi

Thanks for the nice video. QQ: When I read from S3 with a bunch of filters on (partitioned and non-partitioned) columns, how many Spark RDD partitions should I expect to get? Would that be different if I use DataFrames? Effectively, All I need to achieve is to read from a massive dataset (TB+), perform some filtering, and writing the results back to S3. I'm trying to optimize the cluster size and number of partitions. Thank you.

Luiz A.

What if the number of shuffle partitions is too much bigger than the number of nodes ? In the company I've just joined, they run the spark-submit in the developer cluster using 1 node, 30 partitions, 8GB each and shuffle partitions = 200. Maybe this 200 partitions can slow everything. The datasets are by the order of hundreds of GB

Npl

I am still confused about what happens in the map phase.Can you explain this "Each executor will map based on the join key and send it to an exchange. "?

vincent wang

Short, informative and easy to understand. Thanks.

Umut Tekakca

Very neat and clear demo, thanks.

Manapoker1

one of the best if not the best video I've seen explaining joins in spark. Thank you!

Akash Hudge

Thanks for sharing the information, very few people knows the internals of the spark

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