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Maximizing Your CA Datacom® Investment for the New Application Economy (Part 1)
This document outlines strategies for maximizing the investment in CA Datacom® amidst the evolving application economy, focusing on modernization practices such as leveraging SQL access and integrating with web services. It discusses the importance of updating databases, utilizing current developer skills, and implementing business rules through SQL constraints and triggers. The goal is to empower customers to effectively utilize current enhancements and best practices for ongoing operational success.
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Maximizing Your CA Datacom® Investment for the New Application Economy (Part 1)
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- 2. 2 © 2015 CA. ALL RIGHTS RESERVED.@CAWORLD #CAWORLD Abstract Thispre-conference education is for customers who have recently upgraded or are considering upgrading to the most current product releases. We will discuss the most impactful enhancements and best practices so you can immediately begin using these recommended features with confidence to ensure continued success within your CA Datacom® operations today. Sheila Miller Kevin Shuma CA Technologies Software Engineering CA Datacom® CA Technologies Product Management Mainframe Databases
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- 5. 5 © 2015 CA. ALL RIGHTS RESERVED.@CAWORLD #CAWORLD Modernizing CA Datacom® What We Mean Modernize CA Datacom® databases •Leverage your existing data • Use standard SQL/ODBC/JDBC interfaces Modernize CA Ideal™ applications • Reuse your application business logic • Invoke web services • Consume web services
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- 8. 8 © 2015 CA. ALL RIGHTS RESERVED.@CAWORLD #CAWORLD A feature included with CA Datacom®/DB Limited version of CA Datacom® SQL and CA Datacom® Server Two concurrent users Relational access from Datacom SQL tool -DBSQLPR Connectivity via ODBC, JDBC CA Datacom® SQL Web Connect Delivers SQL and Server capabilities for all V14 sites
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- 11. 11 © 2015 CA. ALL RIGHTS RESERVED.@CAWORLD #CAWORLD Database DDUPDATE 2900 Transaction SQLNAME (optional) Used for comment only SQL-Security (Optional) Set to “N” (default) - secured through external security Set to “Y” – secured through GRANT/REVOKE (not recommended) (Optional) Update database for SQL access DDUPDATE 3004 Transaction SQLNAME (optional) Only used for CREATE TABLE …. IN area_sql_name (Optional) Update area(s) for SQL access Area(s) DDUPDATE 3152 Transaction SQL-INTENT (required) N(default no SQL access) Y (full SQL access, requires AUTHID and SQLNAME be filled in) R (read only SQL access, requires AUTHID and SQLNAME be filled in) AUTHID (required) SYSUSR or user_authid SQLNAME (required) Required (32 characters, no dashes) (Required) Update tables(s) for SQL access Table(s) DDUPDATE 4020 Transaction AUTHID (set by DD, will be the same as the table) SQLNAME (optional) If specified, will be checked against SQL naming rules If not specified, will be generated from Datadictionary name Generated name may vary to meet SQL naming rules (Optional) Update columns(s) for SQL access Columns(s) DDUPDATE 5100 Transaction AUTHID (set by DD, will be the same as the table) SQLNAME (optional) Only used for SQL DROP INDEX or SQL CREATE INDEX (Optional) Update keys(s) for SQL access Keys(s) Update Database Definition in Datadictionary for SQL
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- 14. 14 © 2015 CA. ALL RIGHTS RESERVED.@CAWORLD #CAWORLD Every table with SQL-INTENT=Y/R is available for SQL access after the DD Catalog to CXX/DDD INPUTSTATEMENT: SELECT * FROM SYSUSR.PERSONNEL; NUMBER NAME STREET_ADDRESS CITY_ADDRESS STATE_ADDRESS ZIP_CODE_LOC SOCIAL_SECURITY UNS. NUM(5,0) N.N. CHAR(24) NOT NULL CHAR(24) NOT NULL CHAR(15) N.N. CHAR(2) N.N. CHAR(5) N.N. DEC(9,0) N.N. __________________ ________________________ ________________________ _______________ _____________ ____________ _______________ 1 ALLEN ANTHONY 1322 TEMPAST DR BOSTON MA 02115 201896112 2 LENZEN RUTH 642 RAY RD SAN FRANCISCO CA 94104 185912012 3 MEAD HENRY 902 PATRIA BOSTON MA 02115 501628839 4 PARKER WILLIAM 423 ARD RD CHICAGO IL 60632 655111879 5 RIGSBY JOHN 9305 MOSS NEW YORK NY 10004 312189518 6 SNOW TERRI 1810 VAN CR HOUSTON TX 77506 412819911 7 TURNER ARNOLD 418 RUSTIC BOSTON MA 02115 106918274 8 WEEKS LEN 4005 ROSA LN SAN FRANCISCO CA 94104 318129122; Using SQL to Access Existing CA Datacom® Tables
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- 18. 18 © 2015 CA. ALL RIGHTS RESERVED.@CAWORLD #CAWORLD §Extension to SQL for Datacom only § Supports all SQL DML access § Adds SQL accessibility for – Compound columns – Single-dimension arrays – Redefined columns Use DATACOM VIEW to Extend SQL Access to Non-Relational Columns
- 19. 19 © 2015 CA. ALL RIGHTS RESERVED.@CAWORLD #CAWORLD Use DATACOM VIEW to Extend SQL Access to Non-Relational Columns §Simple “low-impact” method to utilize legacy data structures with SQL § More information is available in the CA Datacom® Database and System Administration Guide and the SQL User Guide
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- 21. 21 © 2015 CA. ALL RIGHTS RESERVED.@CAWORLD #CAWORLD Simple Utility Provided to Generate DATACOM VIEW Syntax §Use either DDUTILTY or DDUPDATE § Input transactions: – +UTL LIBRARY,SRC – +UTL LANGUAGE,SQL – +UTL MODE,DATACOM-VIEW – +UTL COPY,TABLE,POLICY-HISTORY(PROD),POHDVIEW § Output – SYSPRINT – report showing the created view – SYSPUNCH – output dataset with created view syntax
- 22. 22 © 2015 CA. ALL RIGHTS RESERVED.@CAWORLD #CAWORLD Non-Relational Column to Relational Mapping •Not available Group column • Available as one large column (CHAR) Occurs column • Only first column definition availableRedefines • Only required if redefines and rows do not match “first definition” “WHERE” clause •Available •Includes all subordinate columns Group column •Group columns seen as one large column •Each occurrence seen as individual column with correct data type Occurs column •All column definitions available Redefines •Strongly recommended if multiple redefinitions in-use “WHERE” clause Normal View (SQL) Datacom View (CA Datacom®)
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- 25. 25 © 2015 CA. ALL RIGHTS RESERVED.@CAWORLD #CAWORLD Domain Constraint Between 100000 and 300000 Must be greater than zero AccountName Department 100100 BILL ACCPAY 100300 DAVE ACCRECV 230500 FRED PAYROLL 299000 GEORGE SHIPPING TRNID ACCOUNT DATE AMOUNT 12345 100300 12/13/2014 223.34 12453 100100 12/23/2014 20.00 18938 100300 04/04/2015 4.23
- 26. 26 © 2015 CA. ALL RIGHTS RESERVED.@CAWORLD #CAWORLD Referential Constraint AccountName Department 100100 BILL ACCPAY 100300 DAVE ACCRECV 230500 FRED PAYROLL 299000 GEORGE SHIPPING TRNID ACCOUNT DATE AMOUNT 12345 100300 12/13/2014 223.34 12453 100100 12/23/2014 20.00 18938 100300 04/04/2015 4.23 Primary key Primary key Foreign key Parent or Referenced Table Child or Referencing Table Recommend secondary key
- 27. 27 © 2015 CA. ALL RIGHTS RESERVED.@CAWORLD #CAWORLD Using SQL Constraints to Implement Business Rules Simple way to enforce standards for all access (RAAT/SAAT/SQL) Domain constraint •Restricts column value to a defined value set • Applies to any add or update Referential constraint • Restricts child rows to map to an existing parent row • Can be used to stop a parent row delete if a child row is present (ON DELETE RESTRICT) • Can be used to delete child rows when a parent is deleted (ON DELETE CASCADE) • Can be used to stop a child row add when parent is not present
- 28. 28 © 2015 CA. ALL RIGHTS RESERVED.@CAWORLD #CAWORLD Simple COBOL Utility Provided to Generate Constraint Reports §Using Datadictionary DSF (Dictionary Service Facility) § CONSTRPT – Lists all constraints defined for a given Datadictionary prefix § Typically use AUTHID.aaa* § Lists Domain Constraints followed by Referential Constraints § CONSTORD – Creates DVUTLTY CONFIRM control statements in “confirm” sequence
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- 31. 31 © 2015 CA. ALL RIGHTS RESERVED.@CAWORLD #CAWORLD Using SQL Triggers and Procedures to Implement Automated Actions Simple way to enforce standards for all access (RAAT/SAAT/SQL) Trigger •Invoke a procedure when a specific column changes • Can be set to activate before or after the change • Not dependent on source of change (SQL, RAAT, SAAT) • Assures consistent processing • Flexible choices for determining database condition • Transparent to user Run stock_check procedure
- 32. 32 © 2015 CA. ALL RIGHTS RESERVED.@CAWORLD #CAWORLD CREATE TRIGGERSTOCK_CHECK AFTER UPDATE OF QUANTITY ON TABLE INVENTORY REFERENCING OLD ROW AS OLD_DATA NEW ROW AS NEW_DATA WHEN (OLD_DATA.QUANTITY >= 10 AND NEW_DATA.QUANTITY < 10) EXECUTE PROCEDURE REORDER(NEW_DATA.PART_NUMBER); Example Automatically generate reorder when quantity falls below 10
- 33. 33 © 2015 CA. ALL RIGHTS RESERVED.@CAWORLD #CAWORLD Using SQL Triggers and Procedures to Implement Automated Actions Simple way to enforce standards for all access (RAAT/SAAT/SQL) Procedure •Encapsulate complex business logic • Simplify communication between consumer (application) and database • Can be called directly or “triggered” • External procedures (program) • Internal procedures (SQL syntax) Improved Communications
- 34. 34 © 2015 CA. ALL RIGHTS RESERVED.@CAWORLD #CAWORLD Using SQL User Defined Function Tables Simple way to create “table like output” that can be processed like normal tables UDFT •Materialized by an external procedure that supplies temporary rows for processing • Called with “call_type” for open, fetch, close • Must be reentrant, but “scratchpad” supplied to save state variables • The external procedure can make SQL requests • A UDFT is used like a normal table in a query, but it is read-only • Join/host/correlated variables, literals as parameters • Join variable must reference previous table Select * from t1 inner join TABLE (udft1(t1.col1, :hostVar1)) AS t2
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- 36. 36 © 2015 CA. ALL RIGHTS RESERVED.@CAWORLD #CAWORLD Using ODBC and JDBC With Datacom Server Standard open systems access to SQL accessible Datacom data Server •Provides the ability for an application to see mainframe Datacom data “as just another data source” • Industry standard ODBC and JDBC access • Provides the capability to build and deliver new modern applications that share the same data as existing traditional applications
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- 38. 38 © 2015 CA. ALL RIGHTS RESERVED.@CAWORLD #CAWORLD §Reads metadata to get list of all table Access Using Excel ODBC
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- 40. 40 © 2015 CA. ALL RIGHTS RESERVED.@CAWORLD #CAWORLD §Simple query to return the Driver version and Name § Prepare query and retrieve all rows from CUST table JDBC Access PreparedStatement ps = null; ResultSet rs = null; String query1 = "SELECT * FROM sysadm.cust"; DatabaseMetaData dmd = con.getMetaData(); System.out.println("DatabaseProductVersion: " + dmd.getDatabaseProductVersion()); System.out.println("DriverName: " + dmd.getDriverName()); System.out.println("DriverVersion: " + dmd.getDriverVersion()); System.out.println("============================"); System.out.println(" "); ps = con.prepareStatement(query1); rs = ps.executeQuery(); while(rs.next()) { System.out.println(rs.getString(1) + " " + rs.getString(2) + " " + rs.getString(3) + " " + rs.getString(4) + " " + rs.getString(5));
- 41. 41 © 2015 CA. ALL RIGHTS RESERVED.@CAWORLD #CAWORLD §Result of query: JDBC Access DatabaseProductName: CA-Datacom/DB DatabaseProductVersion: 14 DriverName: DatacomJdbcDriver DriverVersion: 15.00.005 ============================ A 0030 cannon tools 1111 2315 SYCAMORE ROAD PO BOX 7888 A 0090 INTERNATIONAL BANK CORP 500 E JERSEY ST A 0130 SUN DIAL CITRUS GROWERS 277 FEDERAL ST A 0150 IMPERIAL BANKCORP 28 FRANKLIN ST A 0170 UNITED ATLANTIC SHARES 1923 COMMERICAL PLACE PO BOX 1109 B 0190 SOUTHWEST STATE OIL REFINING 244 DIAMOND B 0210 WEST LIFE INSURANCE 28 FEDERAL B 0230 CHEMICAL MUTUAL 401 EAST WOODWARD PO BOX 532 B 0250 MICHIGAN LIGHTING INC. 20 FORD PLAZA PO BOX 8600
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- 43. The longer ittakes to find the defect, the more it costs to fix Defects found in production can cost 40 - 1000x more to fix! Development Phase Cost of Fixing Ratio Requirements 1 Design 3 - 6x Coding 10x Development Testing 15 - 40x Acceptance Testing 30 - 70x Operation/Production 40 - 1000 (IBM, GTE, et al. in Bender RBT Inc, 2012) Requirements 56%Design 27% Other 10% Code 7% James Martin (Bender RBT Inc., 2012) Addressing the relative cost of fixing errors Latest Server Integration – CA Test Data Manager (TDM) and CA Test Case Optimizer (TCO)
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- 45. Data sources and files Validation Profiling PII Discovery Native Engines DataSubset Audit Datamaker™ 1 2 3 Secure Data Subsets Test/Dev Environments Subset Subset Subset Seed Tables Custom Masking Functions Cross Referencing Masked XML FilesExcel FilesSQL Files HTML Files VSAM/ISAMSwift CSV Files Fixed Definition FilesTXT Files Efficient and Effective Data Masking and Sub-setting ADABASMy SQLOracle TeradataInterSystems CACHÉ MSFT SQL Server IBM DB2, IMS, AS/400 InformixPostgreSQL Excel Files SQL FilesCSV Files
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- 48. 48 © 2015 CA. ALL RIGHTS RESERVED.@CAWORLD #CAWORLD CADRE Technical Conference Week of April 25th 2016 –Plano, TX Save the date! Education, technical sessions, panels and more
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- 50. Recommended Sessions SESSION # TITLE DATE/TIME MFX13E Maximizing Your CA Datacom Investment for the New Application Economy (Part 2) 1/17/2015 at 2:30 pm Location: Breakers H MFX12E Maximizing Your CA IDMS Investment for the New Application Economy (Part 2) 1/17/2015 at 1:00 pm Location: Breakers H MFX07E Place your vote: Addressing newer Mainframe Database Management Needs -Data Governance, Analytics and Autonomics, Big Data and others. 1/17/2015 at 9:00 am Location: Breakers H MFT05S Big Iron + Big Data = BIG DEAL! Unlock The Power of Your Mainframe Data 1/18/2015 at 2:00 pm Location: Mainframe Theater MFT11T Five Simple Steps to a More Powerful Database Experience 1/18/2015 at 12:15 pm Location: Tech Talk 6
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- 53. For Informational Purposes Only terms of this presentation Copyright © 2015 CA. All rights reserved. All trademarks referenced herein belong to their respective companies. The presentation provided at CA World 2015 is intended for information purposes only and does not form any type of warranty. Some of the specific slides with customer references relate to customer's specific use and experience of CA products and solutions so actual results may vary. Certain information in this presentation may outline CA’s general product direction. This presentation shall not serve to (i) affect the rights and/or obligations of CA or its licensees under any existing or future license agreement or services agreement relating to any CA software product; or (ii) amend any product documentation or specifications for any CA software product. This presentation is based on current information and resource allocations as of November 18, 2015, and is subject to change or withdrawal by CA at any time without notice. The development, release and timing of any features or functionality described in this presentation remain at CA’s sole discretion. Notwithstanding anything in this presentation to the contrary, upon the general availability of any future CA product releasereferenced in this presentation, CA may make such release available to new licensees in the form of a regularly scheduled major product release. Such release may be made available to licensees of the product who are active subscribers to CA maintenance and support, on a when and if-available basis. The information in this presentation is not deemed to be incorporated into any contract.
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