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CICS DB2 Integration

Learn how to integrate DB2 databases with CICS applications effectively. Master EXEC SQL operations, two-phase commit, RRS services, and best practices for reliable database transactions in CICS environments.

Why DB2 Integration Matters

DB2 integration enables CICS applications to access relational databases, providing structured data storage, ACID compliance, and powerful SQL query capabilities. This integration is essential for modern enterprise applications that require reliable data persistence and complex data operations.

Data Integrity

ACID properties ensure reliable transaction processing and data consistency.

SQL Power

Rich SQL language for complex queries, joins, and data manipulation.

Performance

Optimized database engine with indexing, optimization, and caching.

EXEC SQL with CICS

EXEC SQL statements allow CICS programs to execute SQL operations directly within COBOL code. This provides seamless integration between CICS transaction processing and DB2 database operations.

Basic SQL Operations

SELECT: Retrieve data from database tables

INSERT: Add new records to tables

UPDATE: Modify existing records

DELETE: Remove records from tables

Basic SELECT Example:

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IDENTIFICATION DIVISION. PROGRAM-ID. DB2SEL. ENVIRONMENT DIVISION. DATA DIVISION. WORKING-STORAGE SECTION. 01 WS-CUSTOMER-ID PIC X(10). 01 WS-CUSTOMER-NAME PIC X(30). 01 WS-CUSTOMER-ADDR PIC X(50). 01 SQLCODE PIC S9(9) COMP. PROCEDURE DIVISION. * Get customer ID from terminal EXEC CICS RECEIVE INTO(WS-CUSTOMER-ID) END-EXEC * Query customer from DB2 EXEC SQL SELECT CUSTOMER_NAME, CUSTOMER_ADDRESS INTO :WS-CUSTOMER-NAME, :WS-CUSTOMER-ADDR FROM CUSTOMERS WHERE CUSTOMER_ID = :WS-CUSTOMER-ID END-EXEC * Check SQL return code IF SQLCODE = 0 PERFORM DISPLAY-CUSTOMER ELSE PERFORM HANDLE-SQL-ERROR END-IF EXEC CICS RETURN END-EXEC.

Data Modification

INSERT: Add new customer records

UPDATE: Modify customer information

DELETE: Remove customer records

Error Handling: Check SQLCODE for results

INSERT Example:

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IDENTIFICATION DIVISION. PROGRAM-ID. DB2INS. ENVIRONMENT DIVISION. DATA DIVISION. WORKING-STORAGE SECTION. 01 WS-CUSTOMER-ID PIC X(10). 01 WS-CUSTOMER-NAME PIC X(30). 01 WS-CUSTOMER-ADDR PIC X(50). 01 SQLCODE PIC S9(9) COMP. PROCEDURE DIVISION. * Get customer data from terminal EXEC CICS RECEIVE INTO(WS-CUSTOMER-DATA) END-EXEC * Insert new customer into DB2 EXEC SQL INSERT INTO CUSTOMERS (CUSTOMER_ID, CUSTOMER_NAME, CUSTOMER_ADDRESS) VALUES (:WS-CUSTOMER-ID, :WS-CUSTOMER-NAME, :WS-CUSTOMER-ADDR) END-EXEC * Check result IF SQLCODE = 0 PERFORM SEND-SUCCESS-MESSAGE ELSE IF SQLCODE = -803 PERFORM HANDLE-DUPLICATE-KEY ELSE PERFORM HANDLE-SQL-ERROR END-IF EXEC CICS RETURN END-EXEC.

Advanced SQL Operations

JOIN Operations:

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* Join customer and order tables EXEC SQL SELECT C.CUSTOMER_NAME, O.ORDER_ID, O.ORDER_AMOUNT FROM CUSTOMERS C, ORDERS O WHERE C.CUSTOMER_ID = O.CUSTOMER_ID AND C.CUSTOMER_ID = :WS-CUSTOMER-ID END-EXEC

JOIN operations allow you to combine data from multiple tables.

Aggregate Functions:

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* Calculate total orders per customer EXEC SQL SELECT CUSTOMER_ID, COUNT(*), SUM(ORDER_AMOUNT) FROM ORDERS GROUP BY CUSTOMER_ID HAVING COUNT(*) > 5 END-EXEC

Aggregate functions provide summary information from your data.

Two-Phase Commit

Two-phase commit ensures data consistency across multiple resources in CICS transactions. It coordinates commits between CICS and DB2, ensuring all-or-nothing transaction completion.

Two-Phase Commit Process

Phase 1: Prepare phase - all resources ready to commit

Phase 2: Commit phase - all resources commit or rollback

Benefits: Data consistency across multiple resources

Use Cases: Multi-resource transactions

Two-Phase Commit Flow:

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* Phase 1: Prepare EXEC SQL UPDATE CUSTOMERS SET BALANCE = BALANCE - :WS-AMOUNT WHERE CUSTOMER_ID = :WS-FROM-CUSTOMER END-EXEC EXEC SQL UPDATE CUSTOMERS SET BALANCE = BALANCE + :WS-AMOUNT WHERE CUSTOMER_ID = :WS-TO-CUSTOMER END-EXEC * Phase 2: Commit (automatic with SYNCPOINT) EXEC CICS SYNCPOINT END-EXEC

Transaction Coordination

SYNCPOINT: Coordinates commit across resources

Rollback: Automatic rollback on failure

Recovery: Built-in recovery mechanisms

Monitoring: Track transaction status

Error Handling:

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* Check SQL operations IF SQLCODE = 0 * Continue with transaction PERFORM UPDATE-ACCOUNT-BALANCES ELSE * Rollback transaction automatically PERFORM LOG-ERROR EXEC CICS RETURN END-EXEC END-IF * Commit all changes EXEC CICS SYNCPOINT END-EXEC

Benefits of Two-Phase Commit

Data Consistency:

  • • All resources commit or none do
  • • Maintains referential integrity
  • • Prevents partial updates
  • • Ensures business rule compliance

Recovery:

  • • Automatic rollback on failure
  • • Built-in recovery mechanisms
  • • Transaction logging
  • • System restart recovery

RRS (Resource Recovery Services)

Resource Recovery Services (RRS) provides enhanced transaction coordination and recovery capabilities for CICS applications using DB2. It offers improved performance and reliability.

RRS Benefits

Performance: Reduced commit overhead

Reliability: Enhanced recovery mechanisms

Scalability: Better resource utilization

Monitoring: Improved transaction tracking

RRS Configuration:

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* Enable RRS in CICS region RRS=YES * Configure RRS parameters RRS_TIMEOUT=300 RRS_RETRY_LIMIT=3 RRS_LOG_LEVEL=INFO * Enable RRS for specific transactions TRANSACTION(DB2TXN) RRS=YES RRS_TIMEOUT=600

RRS vs Traditional Commit

Traditional: Synchronous commit coordination

RRS: Asynchronous commit coordination

Performance: RRS provides better throughput

Recovery: RRS offers enhanced recovery

Performance Comparison:

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* Traditional Commit * - Synchronous coordination * - Higher latency * - Resource contention * - Slower throughput * RRS Commit * - Asynchronous coordination * - Lower latency * - Better resource utilization * - Higher throughput

Best Practices

Following established best practices ensures reliable DB2 operations, optimal performance, and maintainable code in CICS applications.

SQL Best Practices

Always Check SQLCODE: Handle all return codes

Use Parameterized Queries: Prevent SQL injection

Optimize Queries: Use appropriate indexes

Error Handling: Comprehensive error management

Error Handling Example:

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* Comprehensive error handling EVALUATE SQLCODE WHEN 0 PERFORM SUCCESS-PROCESSING WHEN 100 PERFORM NO-DATA-FOUND WHEN -803 PERFORM DUPLICATE-KEY-ERROR WHEN -904 PERFORM INVALID-COLUMN-ERROR WHEN OTHER PERFORM UNKNOWN-SQL-ERROR END-EVALUATE

Transaction Best Practices

Keep Transactions Short: Minimize lock time

Use Appropriate Isolation: Balance consistency vs performance

Handle Deadlocks: Implement retry logic

Monitor Performance: Track transaction metrics

Transaction Design:

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* Keep transactions focused * Single business operation per transaction * Minimize database locks * Use appropriate isolation levels * Implement retry logic for deadlocks * Monitor transaction duration * Log all database operations

Performance Optimization

Query Optimization:

  • • Use appropriate indexes
  • • Avoid SELECT * statements
  • • Use FETCH FIRST n ROWS for large result sets
  • • Consider stored procedures for complex operations

Connection Management:

  • • Use connection pooling
  • • Minimize connection overhead
  • • Monitor connection usage
  • • Implement proper cleanup

Quick Quiz

Question 1:

What is the purpose of two-phase commit in CICS DB2 integration?

Question 2:

What are the main benefits of using RRS over traditional commit?

Question 3:

How should you handle SQL errors in CICS DB2 programs?