Hi All,
I tried to execute the ##Class(%SYS.LDAP).Binds(LD,"",$lb(Username,Domain,Password),$$$LDAPAUTHNEGOTIATE) but this command is returning the value as 7 only instead of 0,7 is an "Authentication Method Not Supported",How to recover it and why this error message is occuring
Please help me
Is there a group in or outside of this community for discussion of DTM issues? I am working on a conversion to Caché for a client but in the meantime, he is still live with his DTM system and a system management issue has arisen. The convo:
Client: Do you know how to increase the page limit in MUMPS DTM? One version of my database I use for one customer is telling me I have reached my page limit. I have increased the page limit in the database you are reviewing; so I figure there is a setting I am missing.
I was approached recently by and end use who wanted to perform analysis of their databases and see how they could save some space by picking data good for deletion without harming the application. As part of investigation, they wanted to know sizes of globals within datasets. This can be achieved by various means but all of them provide data in text form only.
I thought I might be a good tool for database administrators in general - to see global sizes in a graphical way.
I have one in my testing environment. According to https://community.intersystems.com/post/licensing-ubuntu-and-suse-20171-and-later, I should move to native Ubuntu build with 2017.2. So I downloaded Cache for UNIX (Ubuntu Server LTS for x86-64) 2017.2.1 and tried to update my existing 2015.1.4 installation. What I got was:
As I was going though and trying to figure out why our CACHE.dat has increased in size over the past 18 days, I found that EnsLib_HL7.Message is still retaining messages dating back to 2014 even though we have our purge set to 10 days. Has anyone else experienced this?
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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