You can explore the rest API -
https://spark.apache.org/docs/2.0.2/monitoring.html#rest-api
On Sun, May 27, 2018 at 10:18 AM, skmishra
wrote:
> Hi,
>
> I am working on a streaming use case where I need to run multiple spark
> streaming applications at the same time
Yes Amin
Spark is primarily being used for ETL.
Once you transform , you can store it in any nosql DBs that support use
case.
The BI dashboard app can further connect to the nosql DB for reports and
visualization.
HTH
Deepak.
On Mon, May 28, 2018, 05:47 amin mohebbi
I am working on analytic application using Apache Spark to store and analyze
data. Spark might be used as a ETL application to aggregate different metrics
and then join with the aggregated metrics. The data sources are flat files that
are coming from two different sources(interval meter data
Hi,
I'm getting the below ERROR and WARN when running a little heavy
calculation on a dataset -
To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use
> setLogLevel(newLevel).
> 2018-05-27 12:51:11 ERROR AsyncEventQueue:70 - Dropping event from queue
> appStatus. This likely means