We don't often use SQL within our org, which is mostly due to the performance issue we experience due to the quantity of data we are reviewing.

Aside from the standard performance measures for non-Caché databases, are there any recommended approaches when querying large tables?

The table would have roughly 50M records, but there are not a finite amount of sub-nodes.

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I have a custom process that is parsing HL7 and inserting it into a table. Periodically the inserts fail with # due to error: ERROR #5803: Failed to acquire exclusive lock on instance of....

Traditional databases would wait until the lock is removed then do the insert, but cache fails. I'm sure it's my coding approach.

How can I work around this? A Try/Catch loop?

Thanks in advance.

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Article
· Nov 11, 2019 11m read
Transactions in Global InterSystems IRIS

InterSystems IRIS supports a unique data structure, called globals, for information storage. Essentially, globals are persistent arrays with multi-level indices, having several extra capabilities—transactions, quick traversal of tree structures, and a programming language known as ObjectScript.

I'd note that for the remainder of the article, or at least the code samples, we'll assume you have familiarised yourself with the basics of globals:

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Hi,

I have a DR member and in this cache server the database "cachetemp" start to getting bigger without any reason (50GB that was all the free disk space we have)

In the members of the mirrors the cachetemp its ok and the size is 31MB.

I restarted the server because I read that the cachetemp database purge when restarting, but didnt happend.

Any recommendation to clean this database? can I just deleate the CACHE.DAT from this database?

Thanks!!!

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Hi

Totally new to IRIS and Cache.

Trying to evaluate it and work out how we could use it.

As a standard application database. Object or relational etc. does not matter.

Issue is ObjectScript.

So:

1) Can we develop, maintain and use an IRIS database and never use ObjectScript i.e. use only Java, Python, C++ interfaces etc. (exactly which one does not matter)? Would that make designing and using the IRIS database more prone to inefficiency and error?

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I've been accessing Cache tables from a developer/reporting side, but am now involved in a project to create a data warehouse for our application. I'm trying to find a query I can use to return the sizes of all the tables in the database, so we can identify the largest tables and handle those individually. Can someone give me a query I can run against our Cache database to return the sizes of all the tables from largest to smallest?

Thanks for the help

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I have a CACHE.DAT file that is working under CACHE version 2015.1.0.429.0

I have a second machine with CACHE version 2017.2.0.741.0

When I attempt to add/use the CACHE.DAT in the new version of CACHE, it will not mount.

How do I upgrade/convert the DAT file to make it work under the new CACHE version?

Thx. Larry...

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Thanks for all replies in advance. We have a security vulnerability that we have to get rid of. We use Putty software to connect to cache as a terminal allowing several users to do maintenance work in cache. this uses telnet Plain text. I know that we can configure telnet to be encrypted using the super server service and I'm looking for software that can work like Putty as a terminal using encryption compatible with cache telnet encryption. If I have cache installed on my PC and setup a connection to the server using Kerberos with encryption and use the terminal option to connect to

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A More Industrial-Looking Global Storage Scheme

In the first article in this series, we looked at the entity–attribute–value (EAV) model in relational databases, and took a look at the pros and cons of storing those entities, attributes and values in tables. We learned that, despite the benefits of this approach in terms of flexibility, there are some real disadvantages, in particular a basic mismatch between the logical structure of the data and its physical storage, which causes various difficulties.

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It seems like yesterday when we did a small project in Java to test the performance of IRIS, PostgreSQL and MySQL (you can review the article we wrote back in June at the end of this article). If you remember, IRIS was superior to PostgreSQL and clearly superior to MySQL in insertions, with no big difference in queries.

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Hello everyone,

Im just wondering if there is any possibility to "Listen" to a cache DB? We have our cache DB somewhere else provided by a different company, we are provided the interface to connect to that cache DB so we can extract the cache DB every night.

Im just curious if theres a way to "listen" to the cache DB, so if theres any changes on the table in the cache DB, I could make a trigger to extract the table again.

I know i could just set my ETL every hour or so... but that would extract all the tables in cache DB.

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Can someone direct me to where in the documentation we can find how consumption may be calculated for global storage?

Caché Version2010.1
Operating SystemHP OpenVMS 8.4

EDIT: After receiving some responses, it seems I was unclear in my initial inquiry. I am looking to determine our rate of consumption of storage; however, I am having some difficulty in doing that.

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I work for a large NHS Trust in the UK and we are using Healthshare and we process 1000s of messages each day. Many of these are standard HL7 messages however for several months now we also pickup and drop off 1000s of PDF files.

We have our message purge set to 365 as we have to keep a years worth of messages as we have a retrieval and send process that enables us to replay any set of messages to any destination which we use to prepopulate end systems with activity and result history.

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Article
· May 11, 2021 8m read
IRIS in Astronomy

In this article we are going to show the results of the comparision between IRIS and Postgress when handling Astronomy data.

Introduction

Since the earliest days of human civilization we have been fascinated by the sky at night. There are so many stars! Everybody has dreamed about them and fantasized about life in other planets.

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