Hi Joaquin,
Hi Cody :)
If you need something that works out of the box, try SPM -
https://sematext.com/spm/
Otis
--
Monitoring - Log Management - Alerting - Anomaly Detection
Solr & Elasticsearch Consulting Support Training - http://sematext.com/
On Wed, Sep 21, 2016 at 9:31 AM, Cody Lee
Just the nimbus address and port
On Sep 21, 2016 6:50 PM, "Joaquin Menchaca" wrote:
> What is the minimal storm.yaml configuration do I need for `storm jar ...
> remote`?
>
> Is there a command line option or way to specify locally crafted
> storm.yaml, e.g.
What is the minimal storm.yaml configuration do I need for `storm jar ...
remote`?
Is there a command line option or way to specify locally crafted
storm.yaml, e.g. /tmp/storm.yaml?
--
是故勝兵先勝而後求戰,敗兵先戰而後求勝。
Unfortunately without the minimal code which can reproduce this I'm hard to
dig more.
I followed the path based on stack trace, and it would be
IllegalArgumentException, but it should have message which describes why it
is thrown.
Do you find more stack trace informations on that?
- Jungtaek Lim
Two solutions:
1. You can group users by some sort of classification and create topics
based on that then for each user the consumer can check if it's interested
in the topic and consumer or reject the messages.
2. If each user writes a lot of data then you can use the concept of key
based
Hi everyone,
I'm very new to Storm, and have read various documentation but haven't
started using it.
I have a use case where I could potentially have many users producing data
points that are accumulated in one huge, single Kafka topic/Kinesis stream,
and I was going to use Storm to "route"
If you need some topology metrics and custom metrics, I’ve updated the older
storm-metrics-statsd reporter for the 1.x version of storm:
https://github.com/platinummonkey/storm-metrics-statsd and provided an example
working with for example datadog here:
It is real-time. I get streaming JSONs from Kafka.
On Wed, Sep 21, 2016 at 4:15 AM, Ambud Sharma
wrote:
> Is this real-time or batch?
>
> If batch this is perfect for MapReduce or Spark.
>
> If real-time then you should use Spark or Storm Trident.
>
> On Sep 20, 2016