tRelational / DPS Adabas-to-Oracle Success in South Africa

by Hans-Peter Will, Senior Technical Representative and Joseph Brady, Manager of Marketing and Technical Documentation at Treehouse Software, Inc.

Recently, Hans-Peter Will, Senior Technical Representative for Treehouse Software, traveled to South Africa to assist our partner Bateleur Software (pty) Ltd. with setting up a large public-sector customer’s data replication implementation using our Adabas-to-RDBMS tool set, tRelational / DPS (Data Propagation System).

Arriving in Johannesburg, Peter met with representatives from Bateleur and the IT Organization, where the key players discussed how tRelational / DPS was going to be used in the project. The customer initially wanted to populate sample data into Oracle, so Peter configured tRelational / DPS to process one of the smaller Adabas files to generate some data. He also recommended running an analysis with tRelational to determine whether the file contained a unique key. Peter took this opportunity to show the customer what other benefits they could realize out of the analysis information. Interestingly, they used a personnel file for analysis, and Peter was immediately able to show that 23 of the records had no gender entry and 180 of records had no surname. The customer was very pleased to see these revelations in the first analysis, and looked forward to identifying other data quality issues before commencing data replication.

Customer Replication Scenario with Treehouse Software Product Set…


The next step was to build the target structure in accordance with the Oracle DBA’s requirements. The DBA had specified that all columns were to be defined as VARCHAR2, except the date information. After the first model was completed, DDL and DPS parameters were generated and a quick materialization of data accomplished the desired result.

At the subsequent kickoff meeting, Peter provided a complete tRelational / DPS overview and discussed the target structure with the attendees and the Oracle DBA. The rest of the day was spent doing Adabas file implementations, analysis and modeling.

Setup was then completed for transferring extracted and transformed Adabas data into the customer’s Windows environment. Adabas Vista is used, so that one logical Adabas file was actually split into two files stored on different Adabas databases, and the customer wanted to combine them into the same target table in Oracle. While there was no unique descriptor, it was discovered that three fields in combination would make a unique key, enabling the model to be created to combine data from the separate physical files into a single Oracle table.

The team proceeded with file implementation, modeling, mapping, DPS executions, and resolving data issues. Various issues that were encountered, like invalid tab characters within the data, negative personnel numbers, duplicates in unique keys (maintained by the application) and the need to add an extra column to the output. These issues were resolved quickly by the customer’s staff.

Within a day, all the files were materialized and the PLOG copy process was modified so that from that point forward, every PLOG copy would automatically be processed through DPS Propagation to update the RDBMS on the target Windows machine.

The next day, Peter was asked by the customer, “How many of the files have been processed so far?”. Peter was pleased to report that every file was processed and was propagating successfully. The happy customer remarked that they never had a project that was completed this far ahead of the deadline.

Throughout the project, Peter never personally laid hands on a customer keyboard, but instead sat with staff, effectively training them and handing over comprehensive knowledge of tRelational / DPS. The customer was very excited to learn that their personnel can now easily use the product set to do any remaining work on their own.

A few days later, we received an e-mail from Bateleur:

“I had a very pleasant meeting with the customer today. They used tRelational to reject the non-unique keys, reran the Materialization, and reran DPS plus update into Oracle. The month-end update of Oracle that was taking nearly three days to complete, now takes five Minutes! Everyone delighted!”

Bjørn (Sam) Selmer-Olsen, Managing Director, Bateleur Software (pty) Ltd

About Treehouse Software’s tRelational / DPS Product Set


tRelational / DPS is a robust product set that provides modeling and data transfer of legacy Adabas data into modern RDBMS-based platforms for Internet/Intranet/Business Intelligence applications. Treehouse Software designed these products to meet the demands of large, complex environments requiring product maturity, productivity, feature-richness, efficiency and high performance.

The tRelational component provides complete analysis, modeling and mapping of Adabas files and data elements to the target RDBMS tables and columns. DPS (Data Propagation System) performs Extract, Transformation, and Load (ETL) functions for the initial bulk RDBMS load and incremental Change Data Capture (CDC) batch processing to synchronize Adabas updates with the target RDBMS.

Visit the Treehouse Software website for more information on tRelational / DPS, or contact us to discuss your needs.

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TREETIP: Did You Know About tRelational’s Schema Auto-Generation Feature?

by Joseph Brady, Manager of Marketing and Technical Documentation at Treehouse Software, Inc.

tRelational, the data analysis, modeling, and mapping component of Treehouse Software’s Adabas-to-RDBMS product set provides three options for developing RDBMS data models and mapping ADABAS fields to RDBMS columns:

Option 1: Auto-generation

Option 2: Importation of existing RDBMS schema elements

Option 3: Detailed definition and manipulation of schema and mapping elements using tRelational

The Auto-generation function can be an extremely useful productivity aid. By simply invoking this function and specifying an Adabas file structure, a fully-functional corresponding RDBMS schema (Tables, Columns, Primary Keys, Foreign Key relationships and constraints) and appropriate mappings are created virtually instantaneously. The table and column names, datatypes, lengths, and mappings/transformations are all automatically tailored specifically for the RDBMS product, platform, and version–the user need not be an expert in the RDBMS.

tRelational’s schema auto-generation simply requires specification of an Adabas file structure and associated options…


The auto-generated model can be immediately used to generate both RDBMS DDL and parameters for the Data Propagation System (DPS) component. Within minutes of identifying the desired Adabas file or files to tRelational, the physical RDBMS schema can be implemented on the target platform and DPS can begin materializing and propagating data to load into the tables.

It is important to note that these modeling options complement each other and can be used in combination to meet any requirements. Auto-generated schema elements can be completely customized “after the fact”, as can imported elements. Auto-generation can be used at the file level to generate complete tables and table contents at the field level, making it easy to then manually define and map one or more columns within a table, or even to denormalize MU/PE structures into a set of discrete columns.

About Treehouse Software’s tRelational / DPS Product Set


tRelational / DPS is a robust product set that provides modeling and data transfer of legacy Adabas data into modern RDBMS-based platforms for Internet/Intranet/Business Intelligence applications. Treehouse Software designed these products to meet the demands of large, complex environments requiring product maturity, productivity, feature-richness, efficiency and high performance.

The tRelational component provides complete analysis, modeling and mapping of Adabas files and data elements to the target RDBMS tables and columns. DPS (Data Propagation System) performs Extract, Transformation, and Load (ETL) functions for the initial bulk RDBMS load and incremental Change Data Capture (CDC) batch processing to synchronize Adabas updates with the target RDBMS.

Visit the Treehouse Software website for more information on tRelational / DPS, or contact us to discuss your needs.

Treehouse Software Products and Professional Services for Adabas / Natural Help with ALLETE’s Mainframe Retirement

by Mike Kuechenberg, Senior Technical Representative at Treehouse Software, Inc. __Allete

Since 2010, Treehouse Software consultants have provided product training and Professional Services for the planned retirement of the mainframe environment at ALLETE.

Here’s a look at three parts of the project in which Treehouse was involved:

tRelational / DPS

In order to replicate Adabas data to Oracle, ALLETE licensed Treehouse’s tRelational / DPS product set. After some initial training by Treehouse Professional Services, ALLETE staff were able to model and map Adabas files to Oracle schemata using tRelational, and to deploy DPS jobs to materialize (ETL) and propagate (CDC) the Adabas data into Oracle. This continued until the final cutover to the new systems. Just before the mainframe was decommissioned, some additional Adabas files were materialized by Treehouse Professional Services for archival purposes.

DBA Consulting

Treehouse Professional Services took over the DBA responsibilities for ALLETE starting in September 2010. The responsibilities included Software AG product upgrades, daily checks on available database space and file extents, and requests from ALLETE staff like file restores, field maintenance, and any other request requiring DBA involvement.

Systems Support

Additionally, Treehouse Professional Services assumed responsibility for ALLETE’s mainframe systems programming activities. Tasks included monthly IPLs to the system, applying licenses to products, handling system error situations, defining new DASD, upgrading IBM and third-party products, providing periodic SOX reports, and handling other requests from ALLETE staff.

Conclusion of a Successful Engagement

As this five-year Treehouse Software / ALLETE partnership ends, we wish our friends all the best as they move forward with their new systems and strategies.

“During the time our companies have been working together, Treehouse personnel were always responsive and are experts in their fields. Thanks for the flexibility and great support over the years.”

Eric Peterson, Manager, IT Infrastructure, ITS Systems, ALLETE Inc.

About Treehouse Software Professional Services _0_Consulting_Services002

Treehouse Professional Services offer a proven, cost-effective alternative to full-time in-house systems programmers, system administrators and DBAs. Using our team of experts and monitoring techniques, Treehouse offers world-class, on-site and remote system support and DBA service at affordable prices. Treehouse Professional Services offer various levels of system monitoring and administration. Our team will monitor critical factors within your Software AG environment, apply preventive maintenance for your systems and databases, and keep your software up-to-date. We even provide z/OS systems programming services! We are strongly committed to our customers’ success and we deliver the highest quality DBA and support solutions.

Visit the Treehouse Software website for more information on Treehouse Professional Services, or contact us to discuss your needs.

About Treehouse Software’s tRelational / DPS Product Set tReDPSMainDiagram01

tRelational / DPS is a robust product set that provides modeling and data transfer of legacy ADABAS data into modern RDBMS-based platforms for Internet/Intranet/Business Intelligence applications. Treehouse Software designed these products to meet the demands of large, complex environments requiring product maturity, productivity, feature-richness, efficiency and high performance.

The tRelational component provides complete analysis, modeling and mapping of ADABAS files and data elements to the target RDBMS tables and columns. DPS (Data Propagation System) performs Extract, Transformation, and Load (ETL) functions for the initial bulk RDBMS load and incremental Change Data Capture (CDC) batch processing to synchronize ADABAS updates with the target RDBMS.

Visit the Treehouse Software website for more information on tRelational / DPS, or contact us to discuss your needs.

Software AG TechEd 2015

by Wayne Lashley, Chief Business Development Officer for Treehouse Software

Recently, four of us from Treehouse SoftwareMitch Doricich, Mike Kuechenberg, Chris Rudolph and myself—attended Software AG’s TechEd 2015, which took place on April 21-22, 2015 at the Chicago O’Hare Hyatt Regency Hotel. We were joined by over 180 other attendees, including about 60 representing Adabas/Natural sites.

The event was organized into separate tracks for Adabas/Natural, webMethods, ARIS and Alfabet, but the morning general sessions were for all attendees.

Tim Fortier of Software AG acted as the emcee for the two-day event. There were general presentations and keynotes by various Software AG directors and executives, including Mike Schumpert, Gerd Schneider, Mighael Botha, Cynthia Stegall, Kurt Hansen and Ricardo Leitão, on topics like the Internet of Things (IoT), Software AG’s TECHCommunities, innovation, training and support.

Besides the general sessions, the Treehouse team attended the Adabas/Natural breakout sessions. These included presentations by a number of familiar figures from Software AG, including Joe Gentry, Karlheinz Kronauer, Patrick Gould, Eric Wood, Becky Albin and Bruce Beaman, covering Adabas and Natural (and add-on products) roadmaps and futures, and new products and capabilities in the analytics, mobile and integration spaces.

Customer presentations were provided by the Geoff Wells and Don Ellis from the State of Minnesota describing tremendous CPU savings using the zIIP Enabler for Natural, and also detailing their early experiences with the new Event Analytics for Adabas, by Amarish Pathak from AAFMAA on integrating Adabas/Natural/EntireX with mobile applications, and by Manny Klonaris from Verizon on Adabas Vista.

I found the Event Analytics for Adabas solution to be particularly compelling in today’s world of stringent security, audit and privacy requirements. Becky remarked that it could be called “Event Analytics for Anything”, because the data/events to be analyzed could involve virtually any source. Treehouse TRIM customers could be taking advantage of this solution today for their Adabas data, and analytics based on different data sources could be enabled through other Treehouse products and services.

A featured component of the event was Becky giving a Master’s Class on Adabas v8.3. Mike and Chris, the Treehouse technical guys, were logged in to the Treehouse mainframe during the class so that they could follow along on our own system while Becky went through her material. The numerous other DBAs in the room also got great insight into the features and capabilities of this latest Adabas release.


In addition, I had the privilege of giving a presentation on behalf of Treehouse, speaking about how Treehouse can help maximize and revitalize Adabas/Natural through our products and services. I want to say a big thanks to Thadd Jenkins from Southwest Airlines, who provided a very gratifying testimonial about the long and mutually-beneficial relationship between Treehouse and Southwest.

My presentation is available for download here.

TechEd 2015 was hugely beneficial for the attendees to meet and mingle with Software AG experts, management and with other customers. For readers who were unable to make it this year, another TechEd is likely to be scheduled for 2016, based on the roundtable discussion and customer feedback. I encourage all customers to sign up for this free conference.

Our thanks to Software AG for organizing a very successful TechEd 2015, and for enabling Treehouse to participate in it.

A Job Well-Done by Treehouse Software Consulting Services for Swiss Reinsurance Company, Ltd.


Since 2002, Treehouse Software consultants have provided DBA services for the Software AG (SAG) mainframe environment at Swiss Reinsurance Company, Ltd. (Swiss Re). Treehouse services included all SAG product support and upgrades for ADABAS, NATURAL, NATURAL Security, PREDICT, and COM-PLETE.

Additionally, Treehouse consultants installed the TRIM ADABAS and NATURAL Performance Monitor product to help in monitoring ADABAS and NATURAL usage, and the tRelational / DPS product set was used for converting and archiving Swiss Re’s ADABAS data as the new Oracle-based systems were implemented.

As this chapter of the long-time Treehouse Software / Swiss Re partnership has drawn to a close, we express our gratitude for having such a good and loyal customer, and we appreciate their sentiments towards us:

“Thank you for your professional and prompt DBA and support services to Swiss Re for the last many years. You have kept our systems on the most current level of software upgrades, helped us to successfully migrate our mainframe from in-house facilities to an outside provider, as well as migrate from the Toronto system to a global platform-based L&H system, and finally provided archival data extracts for the total decommissioning of the Toronto system.

At all stages we have received excellent and cost-effective services from Treehouse.

We sincerely thank each one of you for helping us achieve our goals. Best wishes for the future.”

Sheila Gupta
Vice President, Information Technology
Swiss Reinsurance Company Ltd.

About Treehouse Software Consulting Services

At Treehouse Software, our business is mainframe systems software and services. We know that organizations using mainframe systems for their business operations are feeling the pressure to be more efficient and to contribute to overall enterprise cost savings, and we’re here to help.

Customers can take advantage of Treehouse’s decades of experience in mainframe optimization, systems security, control, auditing, performance enhancement, etc. Our Mainframe Consulting and Remote DBA Services can be a life-saver when dwindling financial and human resources make it difficult to maintain past levels of IT services for an organization.

Treehouse Software’s expert consultants can provide ADABAS/NATURAL performance analysis, environment tuning, and optimization; development, training and implementation services involving any Software AG technology; help with special routines or user exits for ADABAS/NATURAL; product installation, upgrades, and training; data transfer and integration; and DBA services.

Contact Treehouse Software for more information on our Consulting Services.

Download The New Treehouse Software White Paper on Fault-tolerant Data Sharing Between Applications and Databases


Hot Topic or Hot Potato? 

Our informative new white paper, written by Wayne Lashley, Chief Business Development Officer for Treehouse Software, delves into the issues of why a well- architected, comprehensive, robust and scalable replication solution is the key to enabling legacy databases to exchange data reliably and effectively throughout the enterprise. This makes it possible for IT and business users to access corporate data regardless of where it resides. Furthermore, effective enterprise replication can be combined with other techniques to overcome technology constraints and maximize IT effectiveness.

To download this and other free white papers from Treehouse Software, visit our White Papers web page.

Treehouse Software Customer Case Studies Available Online


Read about real world application of Treehouse Software products on our Customer Case Studies web page.

Here, you’ll find out how tcACCESS and tcVISION Data Integration and Replication; and tRelational / DPS and DPSync ADABAS-to-RDBMS Data Migration have been implemented and are being used in some of the largest enterprise sites in the world.

To learn more about how to become another Treehouse Software customer success, contact us today!

L10n in Heterogeneous Data Replication

by Wayne Lashley, Chief Business Development Officer for Treehouse Software

Most software vendors whose product markets extend beyond their own home country are familiar with the concepts of “i18n” and “L10n”, which are numeronyms for “internationalization” and “localization” respectively. i18n is the process of making a software product capable of adaptation to different languages and cultures, while L10n is the specific adaptation process for a given local market.

These terms take on special significance in the context of data replication software products—such as Treehouse’s DPSync, which provides real-time replication of mainframe ADABAS data to relational database (RDBMS) targets like DB2, Microsoft SQL Server and Oracle on various platforms. The very purpose of these products is to take data from a source and apply appropriate L10n to make it usable at the target, which is generally dissimilar in various aspects of the technical environment.

Perhaps the simplest form of L10n, having nothing to do with language or locale, is to transform database-specific field/column datatypes. Alphanumeric (A) fields in ADABAS are often mapped to CHAR or VARCHAR datatypes in an RDBMS, which are conceptually quite similar. Packed (P) fields may be expressed in an RDBMS as NUMBER, INTEGER, NUMERIC, DECIMAL, etc., depending on the vendor implementation and desired usages.

When it comes to Binary (B) format, things get tricky.  An array of bits in an ADABAS field can’t usually be mapped directly to a binary representation in an RDBMS column, due to the differences in the way data are represented between the platforms.

Decades ago, when I was earning my stripes as a novice mainframe programmer, the rules seemed simple: 8 bits made up a byte, and characters were expressed in single bytes encoded in EBCDIC.

(True story: During a university Assembler class many years ago, one of my classmates was muttering to himself, and the professor queried him about the subject of the “conversation”. The student replied “Just practicing my EBCDIC, sir!”)

Later on, I learned about that ASCII column of the “CODE TRANSLATION TABLE” in my indispensable System/370 Reference Summary GX20-1850-3, and I realized there was a whole world of computers beyond mainframes.


But in fact things can be much more complex than simply EBCDIC and ASCII. L10n of data has to take into account the multitude of code pages and conventions that customers may use—and the customizations and exceptions to these.

Our European Technical Representative, Hans-Peter Will, has had to become somewhat of an expert in this over the past few years as he has worked with various customers in the Middle East on DPSync implementations.

Take the case of the way the Arabic language is handled in the context of applications at one site. Arabic is normally read right-to-left. But depending on system configuration, Arabic characters in a given field may be stored either left-to-right or right-to-left. Certain characters are represented in one byte, others in two. The cursive appearance of certain characters must be altered if they appear in the middle of a word rather than on an end. And in certain of this customer’s applications, the same screen display may show both Arabic and English. Even on screens where all of the words are in Arabic, and displayed right-to-left, there may be embedded numbers (e.g., telephone numbers) that need to be displayed left-to-right.

Now take all these complexities and factor in different database management systems (ADABAS vs. Oracle) running on different platforms (mainframe vs. Unix), each of which have their own configuration settings that affect the way characters are stored and displayed. Add to that the question of endianness (big-endian vs. little-endian) of the processing architecture.

The first time that Hans-Peter visited the customer in question, Treehouse software engineers had to figure out how to handle all these issues to ensure that ADABAS data would be replicated accurately and appropriately for use in Oracle-based applications. Fortunately, the combination of great product maturity (DPSync and its key underlying components tRelational/DPS having been battle-tested at countless sites over many years) and product extensibility (the ability to plug in complex custom transformations) enabled DPSync to be readily configured to accomplish the task at hand.

Having learned from that initial experience, Hans-Peter is now on familiar ground when assisting new Arabic-language sites implementing DPSync. Recently he was back in the Middle East visiting one of these new customers, and only hours after product installation he was able to confirm the accuracy of the SQL Server representation of data materialized (initially loaded via what is commonly called ETL, Extract-Transform-Load) from ADABAS using DPSync. The customer was also impressed with the speed of the process, both in terms of configuring the materialization (taking advantage of the tRelational schema auto-generation feature) and executing it (using an ADASAV backup as source, avoiding any workload on ADABAS). That customer is now in production with real-time ADABAS-to-SQL Server replication.

What’s your L10n challenge? Contact Treehouse and learn how DPSync and our other products are able to meet it.

Treehouse Software Products Ensure Minimal Downtime and Risk-Reducing Fallback Capabilities for Data Migration Cutover

by Wayne Lashley, Chief Business Development Officer for Treehouse Software and Joseph Brady, Marketing and Documentation Manager for Treehouse Software

Organizations that are modernizing from legacy applications or implementing new ones cannot afford downtime. Cutover to a new system has to be nearly instantaneous, and all practical measures to ensure continuous operations must be taken.

Fortunately, offerings from Treehouse Software are ideal for just such circumstances. In fact, Treehouse has been assisting customers with low-risk, minimum-downtime data migration cutovers for many years.

The key to success is the use of change data capture (CDC).

While there was a time when a large-scale data migration could be accomplished overnight or over a weekend, this has become much less feasible given today’s exploding data volumes. The logistics of such implementations are much easier to manage when the migration can be undertaken long in advance of the intended cutover date, and staged in “right-sized” chunks that conform to the organization’s capacity to process them.

Treehouse products such as tRelational/DPS, DPSync, tcVISION, ADAMAGIC and NatQuery provide the ability to efficiently migrate (i.e.,ETL, or Extract-Transform-Load) all or selected source data. We refer to this as materialization or bulk load. In many cases, the process can be executed without direct access to the live source data, instead using a backup or image copy. Furthermore, many mainframe data sources can be migrated by processing on a low-TCO (total cost of ownership) LUW (Linux/Unix/Windows) platform.

After a given set of data has been migrated to the new platform (and the requisite validations completed), Treehouse products—tRelational/DPS, DPSync, tcVISION and NatCDC—can keep the target in sync with ongoing changes in the source through CDC techniques. Such techniques may involve batch-style harvesting of changes from database logs, real-time interfacing with the live database to capture changes, or efficient batch compare processing to derive changes. In each case, the changes identified in the source are transformed appropriately and applied to the target, ensuring ongoing synchronization.

In this way, the data migration is conducted as a cumulative process. It can be commenced at any point and continued until completed, and even if the completion is in advance of the intended cutover, CDC will keep the target database ready for such cutover.

At the time of cutover, it is necessary only to quiesce the source database and apply the remaining transactions to the target, and the new database is ready to go, effectively with zero downtime.

But what if something goes wrong? Even the best-tested implementations may encounter a post-migration issue that necessitates reverting to the old system.

Once again, Treehouse CDC solutions are the answer.

At the point of cutover to the new system, the roles of source and target are reversed, and the CDC process can similarly be reversed. New changes generated in the new system database are captured and applied back to the old database. If it becomes necessary to revert, then once again the new database can be quiesced and final changes applied to the old database, which resumes its role as the system of record.

This might sound too good to be true, but in fact it is a process that has been proven in the field. Recently, Treehouse had a large customer, a multinational manufacturing company based in Latin America, that was moving from a mainframe ADABAS platform to ADABAS on Unix. This customer needed a bulletproof process to migrate hundreds of ADABAS source files from mainframe to Unix at sites located in multiple different countries. The customer could tolerate only the most minimal downtime, and required the ability to immediately revert to the mainframe if it was deemed necessary.

The systems integrator (SI) that the company had engaged for the project contacted Treehouse for a solution. After a successful POC (proof of concept), the company licensed products including ADAMAGIC, NatQuery and NatCDCSP to facilitate the migration. Locations were migrated one by one over a period of several months, in each case with a tested “fallback” methodology.

Yet this case involved a similar source and target—ADABAS (though readers familiar with ADABAS will know that there are significant and sometimes-problematic differences between the mainframe and LUW implementations). What if a customer needs to migrate from a legacy database like IMS/DB to a standard relational database like DB2?

At the risk of being repetitive: Treehouse has the answer.

tcVISION provides CDC facilities across a variety of legacy and modern data sources, including ADABAS, VSAM, IMS/DB, CA IDMS, CA Datacom, DB2 (mainframe and LUW), Oracle and SQL Server. CDC can even be accomplished for flat files and ODBC data sources using tcVISION’s batch compare technique.

So it’s entirely feasible to use tcVISION to stage a migration of IMS/DB to DB2 across an extended period of time, and keep DB2 in sync with new changes in IMS/DB until the point of cutover. Post-cutover changes in DB2 can be captured by tcVISION and applied back to IMS/DB in case fallback is needed.

Is the big-bang data migration dead? Perhaps not, even if it’s becoming more and more difficult. But with Treehouse Software, organizations need no longer endure the risk and stress of big-bang migrations.

If you are contemplating a data migration in your future, contact Treehouse Software today.