Globals are multidimensional sparse arrays which are stored in InterSystems Data Platform. Everything in InterSystems Products is stored in Globals: Classes, Tables, Documents, Code.
JSON is a lightweight data interchange formatfor representing and exchanging data between a server and a web application. Its popularity has led to its widespread use in applications based on InterSystems technology, as well as demand for a converter that transforms globals to JSON and back. Therefore, @Evgeny Shvarov suggested developing Global->JSON->Global converter. Implementing such a converter is important to ensure interoperability, simplify data exchange, support web services, and provide a standardized approach to data representation across different software ecosystems. This article, the second in the "Implemented Ideas" series, focuses on several projects created by the legend of InterSystems Developer Community @Robert Cemper that deal with this task:
Temporary globals stored in the IRISTEMP/CACHETEMP databases are used when a process does not need to store data indefinitely, but requires the powerful performance of globals. The IRISTEMP/CACHETEMP databases are not journaled, so using temporary globals does not create journal files.
The system uses the IRISTEMP/CACHETEMP databases for temporary storage and are available to users for the same.
Globals are the core of the InterSystems IRIS for data persistence. It is flexible, allowing store JSON documents, relational data, object oriented data, OLAP cubes and custom data models, like Mindmaps. To see how to store, delete and get mindmap data using globals, follow these steps:
1. Clone/git pull the repo into any local directory
I'm diving deeper into Caché ObjectScript and would love to open a discussion around the most useful tips, tricks, and best practices you’ve learned or discovered while working with it.
Whether you're an experienced developer or just getting started, ObjectScript has its own set of quirks and powerful features—some well-documented, others hidden gems. I’m looking to compile a helpful set of ideas from the community.
InterSystems IRIS currently limits classes to 999 properties.
But what to do if you need to store more data per object?
This article would answer this question (with the additional cameo of Community Python Gateway and how you can transfer wide datasets into Python).
The answer is very simple actually - InterSystems IRIS currently limits classes to 999 properties, but not to 999 primitives. The property in InterSystems IRIS can be an object with 999 properties and so on - the limit can be easily disregarded.
Watch this short exercise in writing basic code snippets in InterSystems ObjectScript using Copilot in VSCode and the GPT-4.0 engine. This screencast covers "Hello, World," global manipulation, class creation, and building a simple REST API application.
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I have created a package that offers a utility to load a Global into JSON object and reverse to create a Global from this type of JSON object. Compact refers to the structure created. Globals nodes are included with data for a fast data load. But also the related code is quite compact.
The forth in the trilogy, anyone a Hitchhikers Guide to the Galaxy fan?
If you are looking to breathe new life into an old MUMPS application follow these steps to map your globals to classes and expose all that beautiful data to Objects and SQL.
If the above does not sound familiar to you please start at the beginning with the following:
Since I started to use internet (late 90's), I always had a CMS (content management system) present to make easier post
any information in a blog, social media or even an enterprise page. And later years putting all my code into github I
used to document it on a markdown file. Observing how easy could be persisting data into Intersystems IRIS with the
Native API I decided to make this application and force myself to forget a little of SQL and stay open to key-value database
model.
Process-private Globals can be used as a data global in storage definition. That way, each process can have its own objects for the class with ppg storage. For example lets define a pool, which can:
I'm participating in the Developing with InterSystems Objects and SQL with Joel Solon. The course is very nice and I will share with you some tips I got during the training. Tips presented in the day 4:
In the prior part of this series we have provided introduction to Google MapReduce approach, but still not covered their possible ObjectScript implementation. Which we will start to explain today.
I have created a package that offers a utility to load a Global into JSON object and reverse to create a Global from this type of JSON object. Efficient refers to the structure created. Only Globals nodes containing data are presented in the generated JSON object.
Customizing Stored Procedures with ObjectScript directly has been useful to access NoSQL storage and external messaging via integration, to present output in tabular format.
It's well-known that namespace global mapping helps us to write code independent on database storage details (Caché instance name, directory path). But sometimes we can face problems accessing an unsubscripted global which has subscript level mapping (SLM) defined. Most of such cases are evident and associated with administrative tasks that should be done on database level, but some of them can confuse even an experienced developer. Just to start:
In the first article in this series, we’ll take a look at the entity–attribute–value (EAV) model in relational databases to see how it’s used and what it’s good for. Then we'll compare the EAV model concepts to globals.
If I were trying to access an index of a global variable, what time complexity would this operation have? My understanding of languages like Java/C++ is that arrays are stored as blocks of memory so that x[15] would have a lookup time complexity of O(1) because it just goes to (address of the array + 15) and retrieves the value stored there.
How does this work in Cache where the index of a variable isn't necessarily an integer value? If I were to have a variable like the following:
Let's consider you would like to efficiently store your historical data in a similar structure than the one used for your current data, but without sharing the same physical storage (ie : not in the same global). What is the most efficient way to do it ?
I have created a global say ^myglobal and entered some data. I am storing the name of global in databases and fetching the name based on some criteria. I am getting "^myglobal" in return from databases but i am not able to fetch the data I stored in the global.
I tried set var = result.global which gives me "^myglobal" in var. Doing WRITE var will return "^myglobal" and not the data i stored in this global.
In my article I described the work using iris.gref . As the official documetation is rather slim on the subject it was necessary to dig into it. Using the power of Python I was able to detect what I needed but was hidden. I decided to share this with you. pydoc did the magic.
We have a global with 65 million entries. All we are doing is just iterating through each entry to find out the total no of entries. It is currently taking 110 minutes. Is this something normal? What can we do to speed up this process? Below is the program for just iterating each entry in the global.
s sub=" ,count=0 f{ s sub=$o(^YYY(sub)) q:sub="" s count= count +1 } w!, "Total Count:"_ count
I have a classname and a property name. I want to know, when I get object value directly from a global, which property corresponds to which position in the $lb structure.
Is there something in Cache that is equivalent to partitioning a table in Oracle? I'm trying to break some big tables into groups so that the most frequently accessed data is faster to retrieve.
Here is some information on this concept from Oracle.
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Beginning - see Part 1.
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