I have a class that writes to an external SQL Server database.  When the field is empty, it does not write the column and the column has the value NULL.  In some cases, I want the column to be the value of the empty string instead of NULL.

Class myRequestClass Extends Ens.Request
{

    Property MessageType As %String

}

The message that is passed to this class shows:

    <MessageType></MessageType>

Which writes the field as NULL with:

    tSQL = "insert into myTable (MessageType) values (?)"

    set tSC = ..Adapter.ExecuteUpdate(.tNumberOfRowsUpdated,tSQL,myRequestClass

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.

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?

We have a new requirement being push down by our Data Security to no longer use Local SQL Accounts to access our Databases. So they asked me to create a Service Account that is on the Domain for our connections to each database.

I tried just changing my JDBC connection to using this Service Account and Password but I am not having any luck trying to connect to the database.

" Connection failed.
Login failed for user 'osumc\CPD.Intr.Service'.

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

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.

Hi Cache team, I am in the need of listing all the user defined schemas that are present my Cache db and also the user defined tables and views and Columns of those tables and views through Queries. So that I can write some JDBC code to run the queries and fetch the above metadata. Any help is appreciated.

Thanks in Advance,

Kranthi kiran.

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.

Hello all,

I'm trying to setup the JDBC Gateway Server so customers can connect to IRIS remotely using JDBC and not ODBC. But I'm facing a problem connecting, as our system department tells me IRIS is using the loopback address (127.0.0.1) and that makes remote systems cannot connect to port 53773 (the default port for that).

So, I would like to change this 127.0.0.1 host for the hostname but I cannot see where to do it:

Anyone with experience here to help me? :-)

Thanks a lot

Hi All,

            I have a general query in regards to developers experience on extracting data from cache databases and the most efficient way to do so. I work with a number of clients who have applications with cache databases and require the data off the host system and onto data warehouse platforms for research and analysis. Often they require the data in source state which means the extracts are often simply a table scan of the entire database table without any aggregation or manipulation.

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.

Problem: Caché instance connects periodically to an Oracle database via jdbc and downloads data. Sometimes data on a remote server would change.

I'm new to Iris, trying to follow this guide ( https://community.intersystems.com/post/k-means-clustering-iris-dataset ) about using clustering. I've followed all instructions until showing the data. At that point, `dataFrame.show()` fails with `java.sql.SQLException: Access Denied`.

I'm using IRIS 2018.12.609.0 on Windows 10 Pro 64 bits. Python is 3.6.6, PySpark is 2.3.1, installed from Anaconda (Python 3.6.6 |Anaconda, Inc.| (default, Jun 28 2018, 11:27:44) [MSC v.1900 64 bit (AMD64)] on win32).

Hello everyone,

I'm trying to authenticate a user(Health Share clinician) from a Java Application. 

I 'm already connected to Caché and able to run SQL commands.

My question is: How can I authenticate a user using only SQL? In fact, what I want is verify if the users exists in the base and if the given password is the same used in Health Share.

There is a column 'password' in Security.users table but I'm not able to see its content, even so, I don't know which hash function to use to compare with.

I use DataGrip (JDBC client) to query Caché server via JDBC.

The problem I encountered, is that if I wait 10 or more minutes between queries I get an error:

[08S01][461] Communication link failure: Socket closed

To fix that I need to disconnect and connect to server again. Is there a JDBC timeout setting somewhere I can change?

This is a sample Ensemble/Health Connect production which demonstrates how to receive an HL7 order (ORM) inbound from a file, extract fields (in this case, basic demographic information), and insert those into a table in an external SQL database via ODBC.  

Included in the zip file:

• Exported code
• Sample ORM message
• 'How to configure' doc 

I'm looking for an efficient way in DBeaver to filter system tables (ex: belonging to a schema starting with "%").

By using a user with the %All role, DBeaver shows us a long list of system schemas, which forces us to go down the list before accessing the user tables.

Hi, We recover a large amount of data from an external database (SQLServer, about 1 million rows in JDBC).
However, we have treatment time issue.
This process takes more than 30 minutes whereas on a "classic" SQL Server Management Studio type request takes less than a minute.

While searching on the internet, I came across this article: http://makejavafaster.blogspot.com/2015/06/jdbc-fetch-size-performance.html
It explains how in Java, we can tweak the FetchSize parameter of the JDBC driver to optimize this kind of process.

Is there a way to access this JDBC parameter through the EnsLib.SQL.

Intersystems use JReport as their reporting framework.

Are there any free version available for developers to try it out? If yes, can I avail the link?

Is there any free trial version for 'DeepSee'? if yes, can I avail the link? 

Thanks in advance for your feedback.

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.

I'm referring to the document Using Cache with JDBC. Using this example, it sets the URL of the object ds of class CacheDataSource.

ds.setURL("jdbc:Cache://127.0.0.1:1972/SAMPLES");
My question is would you just copy and paste the URL from the login page to the string? I tried doing that and it returns an error saying "Invalid log file xyz"

Any help will be greatly appreciated! Thank you

We are creating a package (written in Caché Object Script) that will provide access to an external DB (MySQL). Because applications that use our package will be run from machines with various, potentially unexpected, operating systems, we’d like to establish a connection to the external DB without using DSNs (we’ve heard that setting up DSNs on certain non-Windows machines can be cumbersome and problematic).

Does anyone know of  way to create a connection to an external DB without using a DSN?

Several steps should be done in order to secure the connection through xDBC clients to an IRIS Server instance using TLS. Most of the information can be obtained from the documentation about TLS on IRIS here, about configuring the security layer for encrypted connections. In the next paragraphs we will cover an step-by-step guide on how to configure and test the connection using SQL Clients apps using ODBC and JDBC.

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.

I have a MySQL server with "posts" table.

I also have a Caché server with "downloadedposts" table. 

They are connected from Caché to MySQL via SQL Gateway

I want to keep Caché table synced with MySQL one  (MySQL "posts" table is a master copy), so periodically Caché queries MySQL server and downloads data. So far so good, and if a record appears or changes in MySQL table, Caché downloads the changes.

The problem I'm encountering is that sometimes rows would be deleted from  MySQL "posts" table.

How do I synchronize deletions?

I get this on some queries in some namespaces.  For instance, this query:

It works fine in HSBUS but in HSREG it throws the error.

Server closed communication device

Does anyone know what would cause this? Would it log something more useful somewhere?

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.

Where do I download the package cache-jdbc-2.0.0.jar. I'm trying to develop a java app that connects to a Cache Database to grab information? Thank you.

Keyword: Pandas DataFrame, IRIS, Python, JDBC

Purpose

Pandas DataFrame is popular tool for EDA (Exploratory Data Analysis). In ML tasks, the first thing we usually perform is to understand the data a bit more. Last week I was trying this Covid19 dataset in Kaggle Basically the data is a spreadsheet of 1925 encounter rows with 231 columns, and the task is simply to predict whether a patient (linked to  1 or more encounter records) would be admitted to ICU. So it's a normal classification task, and we would as usual use padas.DataFrame to take a quick look first.