Hi,
I am a bit confused between Edge node, Edge server and gateway node in Spark.
Do these mean the same thing?
How does one set up an Edge node to be used in Spark? Is this different from
Edge node for Hadoop please?
Thanks
---
referring to GraphX?
Thank You,
Irving Duran
On Mon, Jun 5, 2017 at 3:45 PM, Ashok Kumar
wrote:
Hi,
I am a bit confused between Edge node, Edge server and gateway node in Spark.
Do these mean the same thing?
How does one set up an Edge node to be used in Spark? Is this different from
Edge node
Hi Gurus,
Within one Spark streaming process how many topics can be handled? I have not
tried more than one topic.
Thanks
f processing
you are trying to do.
On Mon, Jun 19, 2017 at 12:00 PM, Ashok Kumar
wrote:
Hi Gurus,
Within one Spark streaming process how many topics can be handled? I have not
tried more than one topic.
Thanks
Gurus,
I understand when we create RDD in Spark it is immutable.
So I have few points please:
- When RDD is created that is just a pointer. Not most Spark operations it
is lazy not consumed until a collection operation done that affects RDD?
- When a DF is created from RDD does that res
Hi,
How does spark handle compressed files? Are they optimizable in terms of using
multiple RDDs against the file pr one needs to uncompress them beforehand say
bz type files.
thanks
Hi Gurus,
The parameter spark.yarn.executor.memoryOverhead is explained as below:
spark.yarn.executor.memoryOverhead
executorMemory * 0.10, with minimum of 384
The amount of off-heap memory (in megabytes) to be allocated per executor. This
is memory that accounts for things like VM overheads, i
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