#SQL

Case description

Let’s imagine that you are a Python developer or have a well-trained team specialized in Python, but the deadline you got to analyze some data in IRIS is tight. Of course, InterSystems offers many tools for all kinds of analyses and treatments. However, in the given scenario, it is better to get the job done using the good old Pandas and leave the IRIS for another time.

So, you checked your server and saw that IRISTEMP is growing too much. There's no need to panic. Let’s investigate the issue before your storage runs out.

Step 1: Confirm the IRISTEMP Growth Issue

Before assuming IRISTEMP is the problem, let’s check its actual size.

Check the Free Space

Run the following command in the IRIS terminal:

%SYS>do ^%FREECNT

When prompted, enter:

While working on getting JSON support for some Python libraries, I discovered some capabilities IRIS provided.

• JSON_OBJECT - A conversion function that returns data as a JSON object.
• JSON_ARRAY - A conversion function that returns data as a JSON array.
• IS JSON - Determines if a data value is in JSON format.
• JSON_TABLE function returns a table that can be used in a SQL query by mapping JSON.
• JSONPath support - is a query language for querying values in JSON.

InterSystems FAQ rubric

Countermeasures against SQL injection have been published on various websites, but we believe that it is possible to prevent SQL injection in applications using InterSystems SQL as well as other RDBMS by implementing these countermeasures appropriately. In addition, InterSystems Data Platform (hereinafter referred to as IRIS) incorporates several measures that make SQL injection more difficult than general RDBMS.

Let's start with a simple motivating question: over the past 14 days, what are my most common errors in the Application Error Log?

In addition to its general security, Caché offers SQL security with a granularity of a single row. This is called row-level security. With row-level security, each row holds a list of authorized viewers, which can be either users or roles. By default access is determined at object modification Some time ago I became interested in determining row-level security at runtime. Here's how to implement it.

Hi Community,

See how IntegratedML in InterSystems IRIS can be used to make machine learning predictions directly from SQL commands:

⏯ IntegratedML in a Nutshell

Hi all,

I'm trying to use LOAD DATA to insert 11k (11,377) rows of data. LOAD BULK DATA is not available for the version of IRIS I am using.

After calling LOAD DATA it says only 5,500 rows has been inserted. The LOAD DATA docs says any error rows are skipped and a count of skipped rows can be found in %SQL_Diag.Result however there are no results here. There are no errors in the xDBC error log either.

Why have over half the rows been skipped?

One of our apps uses a class query to support a ZEN Report and works just fine in that report, producing the expected results every time. We’ve since migrated to InterSystems Reports and noticed that, for a report using the same class query, 100s of extra rows with the same column values appear at its bottom.

Hi Developers,

Hit play on the new video on InterSystems Developers YouTube:

⏯ Columnar Storage - The Lean Data Warehouse @ Global Summit 2023

https://www.youtube.com/embed/3BivXX1gImQ
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InterSystems FAQ rubric

The TIMESTAMP type corresponds to the %Library.TimeStamp data type (=%TimeStamp) in InterSystems products, and the format is YYYY-MM-DD HH:MM:SS.nnnnnnnnn.

If you want to change the precision after the decimal point, set it using the following method.

1) Set system-wide

In this article, exceptions are covered.

Working with Exceptions

Instead of returning a %Status response, you can raise and throw an Exception. You are then responsible for catching the exception and validating it. IRIS provides five main classes to handle exceptions effectively. Additionally, you can create custom exception class definition based on your needs.

Beginning in Caché 2013.1, InterSystems introduced Outlier Selectivity to improve query plan selection involving fields with one atypical value.

In this article, I hope to use an example 'Projects' table to demonstrate what Outlier Selectivity is, how it helps SQL performance and a few considerations for writing queries.

The SQL editor in the contest environment promises these features
InterSystems SQL Reference.