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.
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.
ACID properties ensure reliable transaction processing and data consistency.
Rich SQL language for complex queries, joins, and data manipulation.
Optimized database engine with indexing, optimization, and caching.
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.
SELECT: Retrieve data from database tables
INSERT: Add new records to tables
UPDATE: Modify existing records
DELETE: Remove records from tables
Basic SELECT Example:
1234567891011121314151617181920212223242526272829303132IDENTIFICATION 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.
INSERT: Add new customer records
UPDATE: Modify customer information
DELETE: Remove customer records
Error Handling: Check SQLCODE for results
INSERT Example:
123456789101112131415161718192021222324252627282930313233IDENTIFICATION 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.
JOIN Operations:
1234567* 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:
1234567* 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 ensures data consistency across multiple resources in CICS transactions. It coordinates commits between CICS and DB2, ensuring all-or-nothing transaction completion.
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:
12345678910111213* 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
SYNCPOINT: Coordinates commit across resources
Rollback: Automatic rollback on failure
Recovery: Built-in recovery mechanisms
Monitoring: Track transaction status
Error Handling:
123456789101112* 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
Data Consistency:
Recovery:
Resource Recovery Services (RRS) provides enhanced transaction coordination and recovery capabilities for CICS applications using DB2. It offers improved performance and reliability.
Performance: Reduced commit overhead
Reliability: Enhanced recovery mechanisms
Scalability: Better resource utilization
Monitoring: Improved transaction tracking
RRS Configuration:
123456789101112* 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
Traditional: Synchronous commit coordination
RRS: Asynchronous commit coordination
Performance: RRS provides better throughput
Recovery: RRS offers enhanced recovery
Performance Comparison:
1234567891011* Traditional Commit * - Synchronous coordination * - Higher latency * - Resource contention * - Slower throughput * RRS Commit * - Asynchronous coordination * - Lower latency * - Better resource utilization * - Higher throughput
Following established best practices ensures reliable DB2 operations, optimal performance, and maintainable code in CICS applications.
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:
12345678910111213* 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
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:
1234567* 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
Query Optimization:
Connection Management:
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?