SSH framework is a relatively representative framework of Java, which was popular many years ago. There are Struts+Spring+hibernate and Spring MVC+Spring+hibernate. Of course, I used the second one in college. If I can connect IRIS to Hibernate as a library, does it also mean that IRIS can be developed using SSH framework in theory?

Tools and environment

JDK 1.8

       Maven

       Hibernate 5.X.X

       IRISHealth-2022.1.3

       intellij idea

       Windows 10 64

Create database

       Create several tables in code mode

Class BKIP.SOA.MonitorScreen.CacheTable.

As we all know, Caché is a great database that accomplishes lots of tasks within itself. However, what do you do when you need to access an external database? One way is to use the Caché SQL Gateway via JDBC. In this article, my goal is to answer the following questions to help you familiarize yourself with the technology and debug some common problems.

Outline

• What are the connection parameters you need to connect to a remote database?
• What is the JDBC Gateway vs the Java Gateway Service in Ensemble?
• What tools and methods are available to debug issues?

Apache Spark has rapidly become one of the most exciting technologies for big data analytics and machine learning. Spark is a general data processing engine created for use in clustered computing environments. Its heart is the Resilient Distributed Dataset (RDD) which represents a distributed, fault tolerant, collection of data that can be operated on in parallel across the nodes of a cluster. Spark is implemented using a combination of Java and Scala and so comes as a library that can run on any JVM.

With the release of InterSystems IRIS Cloud SQL, we're getting more frequent questions about how to establish secure connections over JDBC and other driver technologies. While we have nice summary and detailed documentation on the driver technologies themselves, our documentation does not go as far to describe individual client tools, such as our personal favourite DBeaver. In this article, we'll describe the steps to create a secure connection from DBeaver to your Cloud SQL deployment.

GmOwl is a solution that offers an organized and engaging learning platform. It was developed to cater to the increasing need, for learning tools providing a versatile quiz environment that meets users requirements.

The main objective of GmOwl is to deliver an user experience for individuals participating in quizzes while giving administrators comprehensive control, over content and user engagement.

GmOwl uses Java EE with MVC template, and the InterSystems IRIS database is used to store data. The InterSystems JDBC Driver is used to connect to the database.

Intro

In a fast-paced digital era, effective communication is crucial. This article introduces a Java-based chat project, combining the strength of IRIS database and ChatGPT intelligence. Built on Java, it goes beyond real-time messaging, leveraging IRIS and ChatGPT for an enhanced chat experience. Also, the name of the project references the cultural classic - Star Wars.

Building Application

Building our dynamic chat application involves a seamless integration of key components and technologies. Java serves as the heart that drives server-side logic and business operations.

Astronomers’ tools

5 years ago, on December 19, 2013, the ESA launched an orbital telescope called Gaia. Learn more about the Gaia mission on the official website of the European Space Agency or in the article by Vitaly Egorov (Billion pixels for a billion stars).

However, few people know what technology the agency chose for storing and processing the data collected by Gaia. Two years before the launch, in 2011, the developers were considering a number of candidates (see “Astrostatistics and Data Mining” by Luis Manuel Sarro, Laurent Eyer, William O’Mullane, Joris De Ridder, pp. 111-112):

• IBM DB2,
• PostgreSQL,
• Apache Hadoop,
• Apache Cassandra and
• InterSystems Caché (to be more precise, the Caché eXTreme Event Persistence technology).

Comparing the technologies side-by-side produced the following results (source):

The first four will probably sound familiar even to schoolchildren. But what is Caché XEP?

The Caché System Management Portal includes a robust web-based SQL query tool, but for some applications it’s more convenient to use a dedicated SQL client installed on a user’s PC.

SQuirreL SQL is a well known open source SQL client built in Java, which uses JDBC to connect to a DBMS. As such, we can configure SQuirreL to connect to Caché using the Caché JDBC driver.

Finding Caché’s JDBC driver JAR

The JAR file containing the Caché JDBC driver is installed automatically by the Caché installer when installing a full Caché instance or when installing client components only.

Hey Developers!

We're pleased to announce the next competition of creating open-source solutions using InterSystems IRIS! Please welcome:

⚡️ InterSystems Full Stack Contest ⚡️

Duration: September 21 - October 11, 2020

Introduction

Managing databases and performing CRUD operations are fundamental tasks for developers building data-driven applications. While many database management systems (DBMS) exist, they can be complex and cumbersome to interact with, especially when it comes to creating databases and tables, handling constraints, and performing real-time data operations through an API.

This web-based Database Management Tool simplifies the entire process, offering an intuitive UI for managing databases and tables, alongside a powerful REST API for interacting with the data.

As a former JAVA developer it has always been a challenge to decide which database was the most suitable for the project we were going to develop, one of the main criteria I used was their performance, as well as their HA configuration capabilities ( high availability). Well, now is the time to put IRIS to the test with respect to some of the most commonly used databases, so I've decided to create a small Java project based on SpringBoot that connects via JDBC with a MySQL database, another of PostgreSQL and finally with IRIS.

The last days I've work with the great new feature: LOAD DATA With this post I would like to share my first experiences with you. The following points do not contain any order or other evaluation. These are only things that I noticed when using the LOAD DATA command. It should also be noted that these points are based on the IRIS Version 2021.2.0.617 which is a preview release. So it may be that my observations do not apply to newer IRIS versions. But maybe they are helpful for others.

1) The file path is on server side

I have done my first tests via JDBC.

Production Configuration

This demo has an interoperability production with 16 items. 

Production Configuration HL7 + Kafka Producer

The first part of this demonstration consists of sending an HL7 SIU file which will be transmitted to the 2 other HL7 flows (HTTP and TCP), and transformed and transmitted to the Kafka server. HTTP and TCP flows will transform HL7 messages in the same way before sending them to Kafka as well.

The Rut

Up until early this year, I haven't been not doing much coding at all -- I had gotten sick of it.

After many years as a hands-on software engineer and data scientist, I got burned out around 2015. I switched to business development roles focused on "external innovation," then joined InterSystems in 2019 as a product manager. I missed the creative aspects of coding, but not the tedium. The endless cycle of boilerplate, debugging, and context-switching had left me creatively depleted.

Keywords: Python, JDBC, SQL, IRIS, Jupyter Notebook, Pandas, Numpy, and Machine Learning 

1. Purpose

This is another 5-minute simple note on invoking the IRIS JDBC driver via Python 3 within i.e. a Jupyter Notebook, to read from and write data  into an IRIS database instance via SQL syntax, for demo purpose. 

Last year I touched on a brief note on Python binding into a Cache database (section 4.7) instance.

The current jdbc driver version is 3.1.0, but it is not published in the public mvn repository, only the old version, see:

https://mvnrepository.com/artifact/com.intersystems/intersystems-jdbc

It is very bad to the Java Community. And why not publish IRIS Hibernate dialect in mvn repository too?

These actions are important to Java Developers.

If you're migrating from Oracle to InterSystems IRIS—like many of my customers—you may run into Oracle-specific SQL patterns that need translation.

Take this example:

SELECT (TO_DATE('2023-05-12','YYYY-MM-DD') - LEVEL + 1) AS gap_date
FROM dual
CONNECT BY LEVEL <= (TO_DATE('2023-05-12','YYYY-MM-DD') - TO_DATE('2023-05-02','YYYY-MM-DD') + 1);

In Oracle:

• LEVEL is a pseudo-column used in hierarchical queries (CONNECT BY). It starts at 1 and increments by 1.
• CONNECT BY LEVEL <= (...)

Hello,

Recently I tried to connect to JDBC on IRIS 2020.3+ and I came across the following error:

 SQL Error [461] [08S01]: [InterSystems IRIS JDBC] Communication link failure: Communication error: Server closed communication device

This error implies that the port is not open.

Checking with the netstat command:

irisowner@78c3e30b7f41:/opt/irisapp$ netstat -a
Active Internet connections (servers and established)
Proto Recv-Q Send-Q Local Address Foreign Address State     
tcp 0 0 0 0.0.0.0:1972 0.0.0.0:* LISTEN    
tcp 0 0 127.0.0.11:38005 0.0.0.0.0:* LISTEN    
tcp 0 0 0.0.0.0:52773 0.0.

Hi! I've extended my demo repository, andreas5588/demo-dbs-iris, to make it easy to test the FOREIGN SERVER and FOREIGN TABLE features in IRIS.

To achieve this, I created a namespace called FEDERATION. The idea is as follows:

1. Set up JDBC connections for each namespace.
2. Create a FOREIGN SERVER within the FEDERATION namespace for each connection.
3. Define a FOREIGN TABLE a least for one table based on each foreign server.

The Script:  demo-dbs-iris/src/sql/02_create_foreign_server.sql

IRIS does not support executing SQL statements that combine tables from different namespaces.

I've asked a lot of questions leading up to this, so I wanted to share some of my progress.

The blue line represents the number of messages processed.  The background color represents the average response time.  You can see ticks for each hour (and bigger ticks for each day).   Hovering over any point in the graph will show you the numbers for that period in time.

This is super useful for "at a glance" performance monitoring as well as establishing patterns in our utilization.

Here is the query used:

SELECT
    mh.name                                  AS MessageType,
    COUNT(mh.

Hey Developers!

This week is a voting week for the InterSystems Full Stack Contest!

So, it's time to give your vote to the best solutions built with InterSystems IRIS.

🔥 You decide: VOTING IS HERE 🔥

How to vote? This is easy: you will have one vote, and your vote goes either in Experts Nomination or in Community Nomination.

Not sure there are many that connect to MS SQL to execute queries, stored procedures, etc, but our Healthsystem has many different MS SQL based databases we use within the Interoperability environment for various reasons.

With the push to moving from on-prem to the Cloud we ran into some difficulties with our SQL Gateway connections and knowing how to config them to use Microsoft Entra for Active Directory Authentication.

There are many articles out on the web, but there was not one that could give us the full answer to what we needed to do, and Microsoft wasn’t much help.

A Quick Start to InterSystems Cloud SQL Data in Databricks

I just wrote up a quick sample to help a colleague load data into IRIS from R using RJDBC, and figured it's worth sharing here for future reference.

Ultimately it was pretty simple, aside from IRIS not liking "." in column names; the workaround is to just rename the columns. Someone better at R than me could probably provide some generic approach. 

# Need a valid value for JAVA_HOME prior to calling library(RJDBC)
Sys.setenv(JAVA_HOME="C:\\Java\\jdk-8.0.322.

Many times it is necessary copy or send files to your docker container instance.

In my case was with IRIS JDBC driver.

Docker has this recipe for this (credits to https://docs.docker.com/engine/reference/commandline/cp/):

docker cp [OPTIONS] CONTAINER:SRC_PATH DEST_PATH|-
docker cp [OPTIONS] SRC_PATH|- CONTAINER:DEST_PATH

But to copy you need your container name. Write this command for this:

docker ps

In my, my-iris is the container name.

If you need to know file location into your docker file system too, write:

1. To go to bash of your docker instance: docker exec -it my-iris /bin/bash.
2. Write cd .

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.

Benchmark

Benchmarks released on Postgres 11.2 with 1 000 000 rows fetched and 100 000 rows inserted on 2 columns.

Hi everyone. Long time no see. Again, I would like to share what I am studying recently Create Foreign Tables Using SQL via JDBC.

Since I am learning about the IRIS BI at the same time, so I started with this Sample-BI docker environment

https://github.com/intersystems/Samples-BI

After starting the environment, login to the management portal http://localhost:52773/csp/sys/UtilHome.csp  with the user Superuser.

Switch the namespace to IRISAPP.

😀 We will find out that all the sample data are stored in this namespace IRISAPP

When we need to integrate Caché/IRIS with other relational databases, one common question arises: “How do I set up the JDBC connection?”.
The official documentation doesn’t always provide a straightforward step-by-step guide, which can be frustrating, especially for beginners.

In this article, I’ll walk you through the entire process of configuring a JDBC connection with MySQL, from downloading the connector to linking tables in Caché/IRIS.

Note: JDBC connections in Caché/IRIS have some limitations, especially regarding caching and the use of ResultSet

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?

Due to MySQL's interpretation of SCHEMA differing from the common SQL understanding (as seen in IRIS/SQL Server/Oracle), our automated Linked Table Wizard may encounter errors when attempting to retrieve metadata information to build the Linked Table.

(This also applies to Linked Procedures and Views)

When attempting to create a Linked Table through the Wizard, you will encounter an error that looks something like this:

ERROR #5535: SQL Gateway catalog table error in 'SQLPrimaryKeys'. Error: ' SQLState: (HY000) NativeError: [0] Message: [MySQL][ODBC 8.3(a) Driver][mysqld-5.5.5-10.4.