Rocket MultiValue

Michael Rajkowski March 29, 2017 Rocket Software has added support for the Python development language to Rocket® UniVerse 11.3.1 and Rocket® UniData 8.2, on Linux and Windows only. Python will also be added to Rocket® D3 in the second half of 2017. Adding Python support gives experienced and new MultiValue developers the opportunity to code in one of the most popular development languages available today. To help developers get started Rocket created a Python community page that hosts links to code samples, documentation and lots more. PYTHON IN MULTIVALUE – THE BASICS Python now sits at the same level as the other access method used by the MultiValue developer. Our MultiValue Python module consists of two parts. The main access point for the Python developer is the u2py module, which is Python code. The u2py module calls a module written in C. Since both Python and the U2 databases are written in C, it is compatible and can be embedded into the database. The entire box represents

June 8, 2022 As a Sales Engineer, a question I often get from customers is, “Which API (application programming interface) should I use?” I usually will answer “It depends”. In this article I will discuss the APIs and the “depends”. Hope you’ll find it useful and informative. Of all the U2 APIs, I prefer MVIS because RESTful services have become a standard API interface that natively supports the nested data model. Many of our customers have replaced U2REST with MVIS, and are realizing the benefits of automation, integration, and ease of use. (a.k.a. “how to get your new features and applications to market faster”) In addition, many have found that it dovetails into their broader modernization strategy. This enables customers to develop web/mobile applications without needing to know about U2. Customers using ODBC with desktop applications like Excel, could now offer a RESTful services interface and not have to use VSG or HS.ADMIN to define ODBC access. Just like XML, JSON is a great

Your Rocket® MultiValue Modernization Journey Starts with MVISWhether you’re just mapping your modernization journey or already well underway, Rocket® MultiValue Integration Server (MVIS) is the bridge to take your Rocket® UniVerse– or Rocket® UniData®–based applications further, faster, and more efficiently.Top five things you may not know about MVISHow many of these facts surprise you?We released MVIS in June 2019 to empower MultiValue customers like you. MVIS is available for newer versions of Rocket UniVerse and Rocket UniData. Check the Product Availability Matrix (PAM) to see if it supports your environment. MVIS is included with your maintenance agreement. If your maintenance is current, you can order and download MVIS at no additional cost on RBC. Connection pools power MVIS in your production environment. See how connection pools deliver high performance in our short infographic. Your peers already use MVIS for modernization. MVIS is a proven way to bring existing MultiValue a

[Originally posted 10-18-2022]Rocket UniVerse 12.2.1 FAQs

[Originally posted: 08-21-2023]Rocket UniVerse 11.4.1 and MVX Performance 1.7.0 FAQs

[Originally posted 08-24-2023]Rocket AccuTerm 8.1.1 FAQ 

The Rocket MV team is pleased to announce the release of Rocket ® UniVerse 14.2.1 on 5th November 2025.Rocket® UniVerse 14.2.1 builds on a proven foundation to deliver even greater resilience, flexibility, and modernization. With enhanced high availability and disaster recovery features, this release ensures your business stays online and agile—no matter what.Built for Resilience: Uptime You Can Count OnProtect your system with the Shared Structure Recovery Framework RFSThe enhanced Recoverable File System (RFS) in UniVerse 14.2.1 gives you full control; configure it your way to align with your unique environment. Toggle RFS on or off using the RFS_MODE uvconfig parameter. Please note: UVRFS is an optional add-on feature that can be purchased through RBC.Secure your most critical files with Protected File ConfigurationOnce RFS_MODE is enabled, use a dedicated configuration file to define which files to protect, giving you more control over data protection.When RFS is enabled and files

As a valued Rocket MultiValue customer, your success is at the core of all we do. With technology evolving at a rapid pace—and security, reliability, and feature demands increasing—it’s more important than ever to keep your MultiValue Application Platform current. Upgrading is not just about getting new features; it’s an investment in your application’s future and your organization’s peace of mind.  Here are the top 10 reasons to upgrade your MultiValue Application Platform annually:  10. Reduce Third-Party Compatibility Surprises: Staying current minimizes the risk of unexpected issues as third-party vendors update their software. Rocket puts every major update through rigorous compatibility testing, ensuring support for contemporary platforms and documenting all changes.  9. Upgrade with Confidence in the Future: Incremental upgrades are simpler and less disruptive than major, infrequent leaps. By upgrading regularly, you minimize the gap between versions, allowing easier test

Jeannette Shea September 17, 2024 Introducing a new e-learning module covering Rocket MVIS, the MultiValue Integration Server. MVIS, a tool for Rocket® UniVerse and Rocket® UniData® customers, that will help you extend business opportunities, expand your workforce with new developers, and get products to market faster. MVIS allows you to easily expose both your MV data and business logic as RESTful APIs. These new APIs allow you to extend existing apps and create new ones using emerging frameworks and languages, which will keep your MultiValue application relevant. Take a look at our customer’s success with MVIS in these case studies: Tailored Brands - Building a Modern Experience with Rocket® UniVerse SMC - Maximizing ERP Investment by Modernizing with MVIS During the e-learning module, you’ll create an API in your own personal Virtual Lab. You’ll learn how: To create endpoints for files and subroutines and how to call these endpoints. To install and configure MVIS. OpenTelemetry

Paul Chang June 6, 2018 Overview Microsoft SQL Server Integration Services (SSIS) is a platform for building high performance data integration solutions, including extraction, transformation, and load (ETL) packages for data warehousing. It can transfer UniData or UniVerse data to SQL Server very easily. If you use a uci connection to access a UniData or UniVerse server, you must normalize your account first with proper schema and permission settings. The U2 Toolkit client also provides a native connection option that does not require normalization. However, the result data set is very different from a uci connection. The users might need to make some adjustment for SQL Server tables. In this blog post, you will learn how to use Visual Studio (VS) 2017 SSIS Designer using .NET Framework 4.6 to create a simple Microsoft SQL Server Integration Services package. The sample package will export UniData file data into a SQL Server table using a native connection. Note You need to register y

Kathy Larson July 12, 2023 We’re pleased to announce the release of Rocket® AccuTerm® 8.1, an established terminal emulator for MultiValue applications. To improve its functionality and security, Rocket AccuTerm 8.1 now offers a seamless single sign-on experience, a true web version (i.e., with no hosted dependencies on Rocket Software) with features that match its desktop counterpart, and adherence to the industry's leading software security standards, including Synopsys Black Duck, Polaris, and VeraCode. These advancements mark a step forward for MultiValue terminal emulation, empowering users with enhanced productivity, accessibility, and ease of use. Single Sign-On With the release of 8.1, Rocket has recognized the importance of simplifying AccuTerm user access and security. The implementation of single sign-on (SSO) eliminates the need for multiple login credentials, providing a seamless experience between Windows desktops and MultiValue systems. With SSO, users can connect to Mu

May 3, 2017 AUDIT LOGGING FOR ROCKET UNIVERSE 11.3.1 & UNIDATA8.2 WHY YOUR BUSINESS REQUIRES AUDIT LOGGING Hardly a day goes by without hearing headline news of IT security breaches. Since your business’s lifeline depends on computerized systems, IT system security has become increasingly vital to enterprises, big and small. Knowing what’s happened and what’s going on inside your enterprise information systems, as well as providing an audit trail to prove it, is not only required by internal operational procedures, but also, for some industries and businesses, is mandated by governmental or industry regulations and standards. In fact, in the US several regulations such as HIPAA, SOX, and industry standard PCI-DSS all have specific requirements for Audit Logging. In European and other countries there are similar standards and regulations. Audit Logging is an automated system that chronologically records who did what to which system resource and when. IT must spend the time up front

Jonathan Smith January 18, 2018 UNIDATA REPLICATION UniDataData Replication is increasingly important in today’s business environments. The enhancements we’ve added to UniData 8.2 are all driven to ensure UniData Data Replication works better and faster in your environment. We’ve enhanced several areas and we will cover a couple in today’s post and more in future posts: Field Level Replication – Only the changed fields in a record are sent to the subscriber – this post Intelligent Write Queue – Enhances the speed of repeated updating of the same record on the subscriber – this post Delayed Standby Replication – Allows a hot-standby system to be a specified time behind the publisher – future post Asynchronous Transactional Updates – Cross Group Transactions can now be handled in an asynchronous or synchronous mode – future post Replication Pacing (introduced in UniData 8.1.2) – Allows the graceful slowdown of UniData Replication to avoid Replication Disablement – future post FIELD LE

Paul Chang February 20, 2019 If you use the U2 ODBC and/or JDBC client with UniData v8.2.1, you need to ensure that all accounts use schema v6.0 files. If they do not, the applications will not work with your UniData account. This blog post shows you how to create new UniData accounts with schema v6.0 files, delete corrupt files and recreate v6.0 schema files, and create new schema v6.0 files or upgrade older versions of these files. Creating new UniData accounts with schema v6.0 files To create new accounts in UniData v8.2.1, use the newacct command or the XAdmin tool to automatically create new accounts. Newly created UniData accounts contain the necessary default system files and schema v6.0 files, as shown in the following example: Directory of C:U2ud82 est_newacct Directory of C:U2ud82 est_newacct [.] [..] [BP] [CTLG] D_BP D_CTLG D_DV_SQLColumns D_DV_SQLSpecialColumns D_D

Jonathan Smith October 16, 2019 What changed at UniData 8: Memory Allocation Prior to UniData 8.1.0, UniBasic variable space was allocated via shared memory from a system wide shared pool (some of these go back to the original design in the 1990s). Why? It was done to reduce total system wide memory consumption and to ensure that UniData had enough memory available for a user application to function. This memory allocation reserved the base memory requirement, as defined by the shared memory parameters, for use by UniData only. And, the shared memory segment was divided into smaller segments, allowing multiple processes to use the same memory area. Shared Memory Challenges prior to UniData 8 If a process overran its allocated shared memory buffer space and UniData did not detect this, the result was the process ran in another process’s working area, possibly causing corruption of the memory area with multiple processes aborting or producing abnormal results. There were constraints wit

Michael Rajkowski January 31, 2023 Starting at UniVerse 12.2.1 and UniData 8.2.4, you have additional control over how your Python environment is maintained during an upgrade. Previously, when you upgraded your Rocket U2 database, a new version of Python replaced the previous version requiring your System Admin/DBA to reinstall needed modules and/or to modify the .pth files (putting them back to the way they were before the upgrade). Now, during the upgrade you are presented with two questions: Do you want to preserve Python .pth files? Do you want to preserve Python module files? If you answer no, (or don’t select the check box on Windows upgrades), the U2 install process will replace the Python version, and you will need to create/modify your .pth files as necessary, and then pip install the modules you are using for the new version of Python. This is helpful when you have been working with Python for a while and would like to start with a clean slate. If you answer yes to both qu

July 12, 2022 I’m happy to introduce to you the Rocket MV BASIC for Visual Studio Code Extension Feature Review series! In this series, I will cover useful features related to editing, compiling, and debugging using the Rocket MV BASIC for Visual Studio Code Extension. I’ll start by covering the editing feature, specifically formatting. Background Reading legacy BASIC code can be challenging because different developers have different coding styles, and BASIC language grammar is so flexible. The formatting functionality can help you unify the BASIC program style and improve readability. Recommended Configuration The formatting functionality provides you with more than 20 configuration options to choose from. To make your BASIC programs more readable and concise, I recommend that you consider using the core format options shown below. Parameters Values Description “style.keywordCase” “uppercase” “lowercase” “titlecase” “keep” All keywords and statements should have the same

Kathy Larson August 21, 2019 MultiValue, Basic subroutines, Pick Systems, uuh, for a summer intern, all these terms were incredibly foreign. As a computer science student, I have some vague understanding (hopefully) of what a database, server, front/back end are supposed to do, but you could imagine my uneasy feelings when I was tasked with building a modern web app using trendy technologies and a legacy database service on the backend. Before I continue, let me introduce myself. My name is Andrew Gorovoy, and I am a 20-year-old student out of Columbia University in the greatest city in the world, New York (sorry Denver). This summer I was given the opportunity to intern as a product manager in the Denver office. Quickly into my internship, it was apparent that there’s a talent shortage in the MultiValue industry. Young engineers out of college are tooled with modern web frameworks, Python, and Java. Most like myself, have no idea how to write a line of Basic code or initialize an MV

Michael Rajkowski July 27, 2018 In “Python Data Science and the Rocket MultiValue Database ( Part 1 of 3 )“ I provided an introduction to Numpy, and showed how to convert a Numpy array to a u2py.DynArray. In this section I will go a bit further and show: How to write the numpy data to a Rocket MultiValue file How to read back the MultiValue data, and instantiate a Numpy array Introduce you to Pandas How to move a Numpy array to a Pandas Data Frame How to write the Numpy data to a Rocket MultiValue file Before we can begin, we need to create a Rocket MultiValue file, and create some dictionaries.  Note for brevity, I will copy dictionaries items into the account rather than creating them by hand.  ( In part three of the series, I complete our journey on creating a Python class for persisting your data science objects into the MultiValue Database ) UniData Example: CREATE.FILE U2DS 3 11 Create file D_U2DS, modulo/3,blocksize/1024 Hash type = 0 Create file U2DS, modulo/11,blo