In this article, we’ll build a highly available IRIS configuration using Kubernetes Deployments with distributed persistent storage instead of the “traditional” IRIS mirror pair. This deployment would be able to tolerate infrastructure-related failures, such as node, storage and Availability Zone failures. The described approach greatly reduces the complexity of the deployment at the expense of slightly extended RTO.

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Currently running on limited hardware, Online Backups are becoming a bottleneck for our system.

For now, we are exploring an option to backup individual databases, or groups of them, thus reducing RAM requirements per individual backup task. To do that, however, we'd need a separate Backup List for our Backup Tasks. We did not find an option to do so in web portal, so currently we are looking at inheriting from system backup tasks and Backup.General classes to generate Backup List before backing up and then performing the backup as normal.

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In this post I show strategies for backing up Caché using External Backup with examples of integrating with snapshot based solutions. The majority of solutions I see today are deployed on Linux on VMware so a lot of the post shows how solutions integrate VMware snapshot technology as examples.

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A customer is using Caché online backups and needs to automatically purge the cbk files with a scheduled task.

This is a wheel has been reinvented uncountable times already and I know somebody out there has a well written, extremely robust version that has already stood the test of time.

Does anyone have a nice routine/class/task for purging old Caché backup files? 

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Despite the fact that InterSystems has long recommended using external backup tools, many users have opted to use the internal Online Backup facility, which is included in all distributions of InterSystems products (IRIS Data Platform, Caché, etc.). The reasons why are quite obvious:

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Database systems have very specific backup requirements that in enterprise deployments require forethought and planning. For database systems, the operational goal of a backup solution is to create a copy of the data in a state that is equivalent to when application is shut down gracefully.  Application consistent backups meet these requirements and Caché provides a set of APIs that facilitate the integration with external solutions to achieve this level of backup consistency.

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We are currently implementing the Data Innovations Instrument Manager product.  In setting up our backup process we are wanting to use Veam snapshots. The application runs in a Caché 2016.1/Windows Server 2016 instance.  We are running an HA primary/secondary/arbiter config. The statement below is from DI.  I am curious to see what others that have implemented the DI Instrument Manager in the same or similar config have in place for backup.

"DI recommends is recommending that we not perform snapshots, but if you do choose to do so, here is some important information to consider.

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Greetings community. I would like to know how to migrate a BD in production to a local environment. When I have a system in production (BD Sql Server) what we do is mount a local copy to do the analysis with the data and not occupy resources of the system in production. My question is: How do you do it with Intersystems technology?

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Currently we are using Health Share 2015.2.2, and looking to upgrade to the latest version in the next month.

From what I understand we have to upgrade to 2017 or 2018 prior to going to 2019.1 since 2019.1 is on the IRIS platform.

In trying to outline my steps in the upgrade process I came up with a question.

  • Can a Full System Backup from 2015.2.2 be restored into 2019.1?
  • Do I have to restore the 2015.2.2 back up into 2017 or 2018, then do the 2019.1 conversion?

Has anyone had experience with this? or should I open a ticket with WRC?

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lw wei · Jul 17, 2019
journal restore failed with ZJRNFILT

The steps are as follows:


1. create global

 For I=1:1:200 Set ^ABC(I)=""
 For I=1:1:200 Set ^XYZ(I)=""
 For I=1:1:100 Kill ^ABC(I)

2. create ZJRNFILT

ZJRNFILT(jid,dir,glo,type,restmode,addr,time)    /*Filter*/
  Set restmode=1                                  /*Return 1 for restore*/
  If glo["^ABC",type="K" Set restmode=0           /*except if a kill on ^ABC*/


3. restore

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I am new to InsterSystems Cache - having a SQL Server background.  However I am dealing with a Third Party who use InterSystems Cache to hold some of our data.  To do some analysis I need to view a backup of the database.  They are prepared to send me a backup.

My question is - how can I view this backup ( would this be the CACHE.dat file?).

Do I effectively need to have an installation of CACHE on my machine to be able to view this?  Is it possible to view it from SQL Server?  

Any help would be appreciated.



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I am looking for experience of people running Veeam with Caché databases. 

Tips/Tricks/General questions like; what Veeam features are you using, what your backup cycle looks like, where does your data end up, what recovery/integrity checks you do, what sort of compression/dedupe you get. 

Also what questions _you_ have and what problems you might be trying to solve.


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This article was written as an attempt to share the experience of installing the InterSystems Caché DBMS for production environment.
We all know that the development configuration of a DBMS is very different from real-life conditions.
As a rule, development is carried out in “hothouse conditions” with a bare minimum of security measures, but when we publish our project online, we must ensure its reliable and uninterrupted operation in a very aggressive environment.

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Hi Community!

Consider I have InterSystems IRIS server in a cloud and want to introduce a DR server for it.

Are there any requirements for DR server for InterSystems IRIS if it is in a cloud?

Should it be the same subnet? One private cloud?

Can DR server be placed on another cloud, say Primary on Google Cloud and DR on Azure? Are there any caveats/concerns?

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Hi All!

I asked previously about the DR server in the cloud but actually, I'm curious about the backup server to use as analytics server more than for recovery in DR case.

There is a recommended practice to use an async mirror as a server for BI (InterSystems Analytics, DeepSee)

The question is if I have PRIMARY in the cloud (AWS, Google, Azure, etc) "how far" should async mirror member be placed? Same cloud, same private cloud or it doesn't matter at all for analytics purposes?

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We are trying to migrate all our production to new IRIS servers. To test everything is working fine, and to be able to script the process, we want to import the data into new IRIS servers using a backup file (created with ^BACKUP). But we've found that IRIS doesn't recognize Ensemble backups so we can't import it using ^DBREST  :-O

Any of you know how to import in IRIS an Ensemble backup file?

Thanks a lot,

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I was understanding the cluster configuration supported by the Cache. Have couple of queries around that:

1. In Cache version 2018.2, there is a shrading concept which splits the data of a Master Data server into multiple small data server which store shraded data.

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A site has a Mirror set, and an Asynchronous DR.  The disk drives for each of the instances are local disks and the databases are large (>2 TB)

The current backup strategy is started off as using Cache Backup and is still the case today, but the size and time it take t do the backup is obviously prohibitive.

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