Hi all,
I have set cache expiry policy like this
origonal question:
ferhadcebi...@gmail.com
5:00 AM (5 hours ago)
to me
Thanks for answer. But, how Ignite will store that datas to store? Will
append to the end of WAL? If, then it is sure faster than storing cache
operations in some 3rd part database.
Ignite does store data to WAL first, but
Python is 25 times slower than Java for ML at runtimes, which I found out
online. But I don't know that statement is true or not. I need insiders'
opinion. Which ml other packages are best options for Ignite?
On Fri, Sep 6, 2019 at 7:28 PM Mikael wrote:
> Hi!
>
> I have never used it myself but
Hi!
I have never used it myself but it's been there for long time and I
would expect it to be stable, and yes it will run distributed, I can't
say anything about performance as I have never used it.
You will find a lot of more information at:
https://apacheignite.readme.io/docs/machine-learn
I am evaluating ML framework for Java platform. I knew Ignite has ML
package.
But I like to know its stability and performance for production. Can Ignite
ML code run in distribute way?
Except its own ML package, which ml packages are best options for Ignite?
Hi,
I have a problem with putting entries to partitioned or replicated cache
through near cache on client node. Even when I configured cache on server
to put values to off-heap space they are stored on heap.
I already descibed it on jira
https://issues.apache.org/jira/projects/IGNITE/issues/IGNITE