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.

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'. ClientConnectionId:ade97239-c1c8-4ed1-8230-d274edb2e731 "

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.

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.

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.

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

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?

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.

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.

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

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?

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.

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?