Hi all,

When is a Developer Community post not a Developer Community post? When it's just a few sentences wrapped around a link to InterSystems documentation! And what better way to finish up 2021 than by telling you about something cool that's been available since v2020.3? As the ball drops in Times Square, curl up with this:

Repeating Previous Commands

Overview

Encryption of sensitive data becomes more and more important for applications. For example patient names, SSN, address-data or credit card-numbers etc..

Cache supports different flavors of encryption. Block-level database encryption and data-element encryption. The block-level database encryption protects an entire database. The decryption/encryption is done when a block is written/read to or from the database and has very little impact on the performance.

With data-element encryption only certain data-fields are encrypted. Fields that contain sensitive data like patient data or credit-card numbers. Data-element encryption is also useful if a re-encryption is required periodically. With data-element encryption it is the responsibility of the application to encrypt/decrypt the data.

Both encryption methods leverage the managed key encryption infrastructure of Caché.

The following article describes a sample use-case where data-element encryption is used to encrypt person data.

But what if you have hundreds of thousands of records with an encrypted datafield and you have the need to search that field? Decryption of the field-values prior to the search is not an option. What about indices?

This article describes a possible solution and develops step-by-step a small example how you can use SQL and indices to search encrypted fields.

Developing a Full-Stack JavaScript web app with Caché requires you to bring together the right building blocks. In this third part of this article series I will show how to link our React app to our three back-ends we created in part 2.

Hi,

When we define a %String property, and don't mention any MAXLEN, by default it uses 50 as defined in class %Library.String.

As a result, when we try to save data more than 50 characters, it fails with below error.

This is the first article in a series discussing how to regain disk space from Caché databases at the operating system level. This introductory article discusses Caché database growth and gives an overview of various methods you can use to return unused disk space that is allocated to database files back to the file system. But before we talk about returning space to the file system, let’s first review how does it get allocated in the first place.

Hi I've got a service setup to query a sql server via ODBC.

I've got all the parameters etc setup and everything is ok

My Query is

I am happy to announce that InterSystems API Manager is now generally available. InterSystems API Manager (IAM) is a new feature of the InterSystems IRIS Data Platform™, enabling you to monitor, control and govern traffic to and from web-based APIs within your IT infrastructure.

The purpose of this post is to raise the profile of a powerful mechanism that has long been available to us, and to open a discussion about ways in which it can be used or abused.

You can read more detail about the mechanism here. To summarize, your class definition can use the Projection keyword to reference one or more projection classes. A projection class can implement methods that get invoked at key points in the lifecycle of your class.

The Caché epoch is January 1, 1840 and the Unix epoch (or Unix time or POSIX time or Unix timestamp) is the number of seconds that have elapsed since January 1, 1970 . How do you convert the current date and time to Unix epoch time?

When the started service component cannot be shut down correctly in the foreground, can you terminate the service by ending the task manager process? Will it affect the correct operation of the system

Does anyone NOT use a debugger? I can't remember the last time I did. It's not because I don't dislike them, I just don't need to use them. The main reason for this is because I have a certain development methodology that either produces less bugs, catches them at a unit test level, or makes tracking them down much easier.

Here are my tips...

1. Write your own COS cheat-sheet.

Good News!! You can use now the Free InterSystems IRIS Community Edition in the AWS Cloud

Hello,

It's very common that people new in InterSystems IRIS want to start to work in a personal project in a full free environment. If you are one of this, Good News!! You can use now the Free InterSystems IRIS Community Edition in the AWS Cloud.

In this article I'd like to discuss asynchronous REST and approaches to implementing it.

Why do we need asynchronous REST? Simply put - answering the request takes too much time. While most requests usually can be satisfied immediately, some can't. The reasons are varied:

• You need to perform time-consuming calculations
• Performing action actually takes time (for example container creation)
• etc.

The solution to these problems is asynchronous REST. Asynchronous REST works by separating request and real response. Here's an example, let's consider the following simple async REST broker:

If you want to dynamically serve images as a property of JSON then there is no perfect encoding solution. One method used frequently is to Base64 encode the image. Whilst there are some negatives to doing this, such as data inflation, there are some positives to working with Base64 images inside the browser.

Let's say you have an image placeholder on a web page...