Hi,
How can I convert this Python Numpy code into Spark RDD so that the
operations leverage the Spark distributed architecture for Big Data.
Code is as follows -
def gini(array):
"""Calculate the Gini coefficient of a numpy array."""
array = array.flatten() #all values are treated equall
Hi
One way to get it is use YARN configuration parameter -
yarn.nodemanager.container-executor.class.
By default it is
org.apache.hadoop.yarn.server.nodemanager.DefaultContainerExecutor
org.apache.hadoop.yarn.server.nodemanager.LinuxContainerExecutor - gives you
user who executes script.
Br
At least one of their comparisons is flawed.
The Spark ML version of linear regression (*note* they use linear
regression and not logistic regression, it is not clear why) uses L-BFGS as
the solver, not SGD (as MLLIB uses). Hence it is typically going to be
slower. However, it should in most cases
Hi Advisers,
When submit spark job in yarn cluster mode, the job will be executed by
"yarn" user. Any parameters can change the user? I tried
setting HADOOP_USER_NAME but it did not work. I'm using spark 2.2.
Thanks for any help!
While MLLib performed favorably vs Flink it *also *performed favorably vs
spark.ml .. and by an *order of magnitude*. The following is one of the
tables - it is for Logistic Regression. At that time spark.ML did not yet
support SVM
From: https://bdataanalytics.biomedcentral.com/articles/10.
118
The devices and device messages are retrieved using the APIs provided by
company X (not the company's real name), which owns the IoT network.
There is the option of setting HTTP POST callbacks for device messages, but
we want to be able to run analytics on messages of ALL the devices of the
network
Which device provides messages as thousands of http pages? This is obviously
inefficient and it will not help much to run them in parallel. Furthermore with
paging you risk that messages get los or you get duplicate messages. I still
not get why nowadays applications download a lot of data throu
Hello,
I'm in an IoT company, and I have a use case for which I would like to know
if Apache Spark could be helpful. It's a very broad question, and sorry if
it's long winded.
We have HTTP GET APIs to get two kinds of information:
1) The Device Messages API returns data about device messages (in
Hi,
Could anyone please provide your thoughts on how to kill spark streaming
application gracefully.
I followed link of
http://why-not-learn-something.blogspot.in/2016/05/apache-spark-streaming-how-to-do.html
https://github.com/lanjiang/streamingstopgraceful
I played around with having either p
Hi Susan
In general I can get what I need without Marathon, with configuring
external-shuffle-service with puppet/ansible/chef + maybe some alerts for
checks.
I mean in companies that don't have strong Devops teams and want to install
services as simple as possible just by config - Marathon might
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