Why did you remove email zahidr1...@gmail.com following this query. ?
The query was commercially hostile but based on sound research.
The two responses were then sent to a removed email account.
The two accounts responded and didn't agree with you.
> Note that there are ways to detect
For example, put the generated query into a list and start every one, then
use the method awaitTermination() on the last one .
Abhisheks 于2020年5月1日周五 上午10:32写道：
> I hope you are using the Query object that is returned by the Structured
> streaming, right?
> Returned object contains a lot of
It was not removed because of this e-mail, but many other spam and in
appropriate messages, from this and sock-puppet accounts. This one is
IMHO off-topic however.
Note that there are ways to detect when someone is signing up a sock
puppet account, and mods will ban both if so.
On Sun, May 3,
Spark will by default assume each task needs 1 CPU. On an executor
with 16 cores and 16 slots, you'd schedule 16 tasks. If each is using
4 cores, then 64 threads are trying to run. If you're CPU-bound, that
could slow things down. But to the extent some of tasks take some time
blocking on I/O, it
@Sean Owen
Why did you remove email zahidr1...@gmail.com following this query. ?
The two responses were then sent to a removed email account.
> -- Forwarded message -
> From:
> Date: Sat, 25 Apr 2020, 19:40
> Subject: RE: Watch "Airbus makes more of the sky with Spark -
Hi all,
We have a spark job (spark 2.4.4, hadoop 2.7, scala 2.11.12) where we use
semaphores / parallel collections within our spark job. We definitely
notice a huge speedup in our job from doing this, but were wondering if
this could cause any unintended side effects? Particularly I’m worried
Replied inline:
On Sun, May 3, 2020 at 6:25 PM Magnus Nilsson wrote:
> Thank you, so that would mean spark gets the current latest offset(s) when
> the trigger fires and then process all available messages in the topic upto
> and including that offset as long as maxOffsetsPerTrigger is the
Thank you, so that would mean spark gets the current latest offset(s) when
the trigger fires and then process all available messages in the topic upto
and including that offset as long as maxOffsetsPerTrigger is the default of
None (or large enought to handle all available messages).
I think the
--
Bibudh Lahiri, PhD
Principal Researcher, Artificial Intelligence
Accenture Services Pvt Ltd
Unitech Infospace, DLF SEZ
Sector 21, Gurugram, Haryana 122016
