Say I have an ObjectScript object called Book. It has 2 properties title and author. It extends JSON.%Adaptor, so I can call book.%JSONExport() and get this output:

In my web service I want to have a search function that returns an array of Books along with the total number of responses, like this:

Those of you who keep an eye on developments in the mainstream of IT will be aware that a major upheaval has been occurring over the last 5 or so years, in which JavaScript has exploded in popularity and importance. Largely as a result of its server-side incarnation - Node.js - it has broken free of just being the scripting language that you use in web browser, to becoming the world's most popular language and enterprise technology of choice.

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

If I have defined a class query in one of my classes and I want to use that query from a method of another class, what are the pros and cons of using the %SQL.Statement interface versus the %Library.ResultSet interface?

I believe %SQL.Statement is the newer interface.

So if the old way is:

USER>s rs=##class(%Library.ResultSet).%New("%Library.File:FileSet")
 
USER>s sc=rs.Execute("c:\s\","*.txt")
 
USER>w sc
1
USER>while rs.%Next() {w !,rs.Data("Name")}

...

then the new way is:

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.

I have a code block in a BPL. I have the below SQL and code. All variables have been declared and set. When I run the SQL, if there are no values returned, I get 100 for the value of SQLCODE when I perform the FETCH, which is correct. If values are returned, I get a -400 error when I perform the first FETCH. I've investigated, but cannot find the reason for a -400 error. Hoping someone out here understands this and knows what's wrong.

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 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

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.

IRIS and Ensemble are designed to act as an ESB/EAI. This mean they are build to process lots of small messages.

But some times, in real life we have to use them as ETL. The down side is not that they can't do so, but it can take a long time to process millions of row at once.

To improve performance, I have created a new SQLOutboundAdaptor who only works with JDBC.

BatchSqlOutboundAdapter

Extend EnsLib.SQL.OutboundAdapter to add batch batch and fetch support on JDBC connection.

Hi,

Our team has had success creating and publishing Power BI reports using an ODBC connection to an IRIS database, but there have been concerns about the responsiveness of these reports.

As an attempt to improve responsiveness, I'm trying out the "DirectQuery" connection using the InterSystems IRIS connector available in our version of Power BI Desktop (September 2021).

The version of IRIS I'm connecting with is "IRIS for Windows (x86-64) 2022.2"

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:

Hi all,

I wonder how to sync my server code to my local code using Visual Studio Code.

Previously, using Atelier, you could open a view of server and can copy the code to the current project, also if I change a BP, I could sync the code because I had a signal that It's warning me that there was a change and it needs to be updated.

I thing i shouls opening the ObjectScript: Explorer and select the code directaly, and right click -> Import and compile current file (Ctrl + F7)

If I use this command, the ouptut window shows: