Prior to IRIS, using ECP to share databases under heavy I/O load has known latency issues (in our environment), which pretty much restricted using shared database with relatively static or slow-changing data. In IRIS, will sharding mitigate the latency issue and allow any table to be shared?
David
Allow a question from a newbie
1. Lets assume we have a global (matrix) [X,Y,Z] that is distributed across sharded nodes
2. Matrix size doesnt matter, but lets assume it holds 500 GB for the moment
3. I want to return all rows where f(x,y,z) is true. f() is an arbitrary function, i.e. f = x + 20(y*y) > z
InterSystems and Intel recently conducted a series of benchmarks combining InterSystems IRIS with 2nd Generation Intel® Xeon® Scalable Processors, also known as “Cascade Lake”, and Intel® Optane™ DC Persistent Memory (DCPMM). The goals of these benchmarks are to demonstrate the performance and scalability capabilities of InterSystems IRIS with Intel’s latest server technologies in various workload settings and server configurations. Along with various benchmark results, three different use-cases of Intel DCPMM with InterSystems IRIS are provided in this report.
In a single server environment, it is rather easy to create a transaction consistent backup.
Simplified:
You find (or force a specific point in time with no open transactions.
Freeze your server, take a snapshot and you are done.
InterSystems Online Learning has updated courses to include the latest information about InterSystems IRIS. See descriptions below, and try a course today!
Troubleshooting Productions
Get an introduction to troubleshooting productions, with a focus on locating and understanding some of the key Management Portal pages when troubleshooting.
Hi Everyone!
New video, recorded by @Benjamin De Boe, is already on InterSystems Developers YouTube:
Scaling Fluidly with InterSystems IRIS
Hi Community!
Please welcome a new video on InterSystems Developers YouTube Channel:
InterSystems IRIS from Spark to Finish
The preview release of InterSystems IRIS 2019.2 is now available - give it a try!
Container images are available via the WRC's preview download site.
IRIS brought us a new WOW feature - SHARDING !
Definitely a great thing!
But how can I find out if it suits my actual applications?
Is there a practical advantage to go for it with my well cooked transactional application?
Or is it just for new still to be designed applications?
Hi Community!
Please welcome a new video on InterSystems Developers YouTube Channel:
Getting Sharded with InterSystems IRIS
Hi Community!
New session recording from Global Summit 2018 is available on InterSystems Developers YouTube Channel:
Hi Community!
Please welcome a new video on InterSystems Developers YouTube:
Deploying Shards Using the API
Hi Community!
New video "Deploying Shards Using InterSystems Cloud Manager" is available now on InterSystems Developers YouTube:
In order to get a feeling for Sharding I decided to set up a Cluster "by own hands"
1 Master (Win10) 2 Shard "slaves" on Ubuntu64
Hi Everybody!
We are pleased to invite you to the upcoming webinar "Sharding as the basis of Scaling in InterSystems IRIS Data Platform" on 24th of July at 10:00 (Moscow time)!
With the release of InterSystems IRIS, we're also making available a nifty bit of software that allows you to get the best out of your InterSystems IRIS cluster when working with Apache Spark for data processing, machine learning and other data-heavy fun. Let's take a closer look at how we're making your life as a Data Scientist easier, as you're probably already facing tough big data challenges already, just from the influx of job offers in your inbox!
Last week, we announced the InterSystems IRIS Data Platform, our new and comprehensive platform for all your data endeavours, whether transactional, analytics or both. We've included many of the features our customers know and loved from Caché and Ensemble, but in this article we'll shed a little more light on one of the new capabilities of the platform: SQL Sharding, a powerful new feature in our scalability story.
