Ed Lynch IBM. Monday, May 8, :00 p.m. 02:10 p.m. Platform: DB2 for z/os & LUW

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1 H02 WS Information Integrator Q vs SQL Replication: What, When & Where Ed Lynch IBM Monday, May 8, :00 p.m. 02:10 p.m. Platform: DB2 for z/os & LUW Session H02 Session Title: WS Information Integrator Q vs SQL Replication: What, When, & Where Ed Lynch IBM edlynch@us.ibm.com 2

2 Abstract This presentation identifies WHAT the differences are between the different Replication Architectures of the WebSphere Information Integrator Replication products, and WHERE these architectures are supported. It will also provide guidance on WHEN to consider one architecture versus the others. 3 Agenda IBM Information Replication Architectures Overview Q-Capture & SQL-Capture Replication Topologies Throughput & Performance Administration, Operations, & Monitoring Packaging & Products Summary 4

3 IBM s Information Replication Architectures SQL-Replication (Formally and still known as IBM DataPropagator) Log-based asynchronous Change Capture Versatile Replication Architecture for Data Replication between all Members of the DB2 Family and beyond (in Combination with WebSphere Information Integrator) Relational Staging Concept Successfully used for Years by huge User Community Q-Replication / Event Publishing Log-based asynchronous Change Capture Captured Transactions immediately sent via Message Queues High-Volume, Low-Latency Architecture 5 IBM DB2 DataPropagator SQL-Replication Component Overview SOURCE SOURCE2 CAPTURE CONTROL APPLY CONTROL SOURCE1 CONTROL UOW CONTROL DB2 Log SQL Capture CD2 SPILL2 SPILL1 SQL Apply ADMINISTRATION TARGET STAGING HISTORY REPLICA UCOPY Replication Center Replication Monitor 6

4 Summary DPropR SQL-Replication Overview SQL Capture Asynchronous DB2 Log Read Interface Captures Changes from DB2 Log into Changed Data Tables SQL Apply Refreshes, Updates or Enhances Target Tables Multiple Target Table Types supported SQL-based Replication Infrastructure Data Enhancement through relational Staging Concept View and Joins supported as Sources Data Distribution Capabilities in huge mobile Environments DB2 targets & sources across operating system platforms Multi-Vendor Sources and Targets (Oracle, Sybase, Informix, MS SQL Server as Sources & Targets; and Teradata as Target) 7 WebSphere Information Integrator: Q-Replication Component Overview SOURCE SOURCE2 SOURCE1 CONTROL TARGET CONTROL DB2 Log Restart Q Q Capture Admin Q Receive Q Admin Q Q Apply Browser Send Q Apply Agent ADMINISTRATION Apply Agent Apply Agent TARGET2 Replication Center Replication Monitor TARGET1 8

5 Summary Q-Replication Overview Q-Capture Captures Changes from DB2 Log into Message Queue(s) Websphere MQ replaces the use of Staging Tables (CD Tables) Each Message represents a Transaction Very Compact Internal Message Format Q-Apply Highly-Parallel Apply Processing Conflict Detection, Resolution and Documentation Multi Vendor Targets (FP9: Oracle, Sybase; FP10: Informix, SQL Server) WebSphere MQ Robust, Secure, and High-Performance Messaging Infrastructure Available on all commercially relevant Platforms 9 WebSphere Information Integrator: Event Publishing DB2 & Classic Data Sources Highlights Publishing of Data-Events to Message Queue(s) One Message per Transaction or one Message per Row (of a committed TXN) Self-describing XML-Format (UTF-8) Non-Relational Data must be mapped with a Mapping Tool into a relational Format DB2 Event Publisher for DB2 (z/os & LUW) IMS VSAM CA-IDMS Classic Event Publisher for IMS Classic Event Publisher for VSAM Classic Event Publisher for CA-IDMS WebSphere MQ based Application WebSphere DataStage WebSphere Message Broker 10

6 Summary Q-based Event Publishing Event Publisher Captures Changes into Message Queue(s) Foundation for further Extension to other Sources / Targets Data is getting ACTIVE (Data on the MOVE ) Classic Legacy Systems back into the Game Websphere MQ Lets classic Data integrate with any Process or Application Websphere DataStage Classic and Relational Data integrate for Replication & Complex Transformation Websphere Message Broker Enables tight Information and Process Integration Data Changes are triggering Business Processes and Transactions 11 Summary IBM Replication Architectures (I) Architecture SQL Replication Q Replication Event Publisher Log Read Interface Sources (Capture) Targets (Apply) Asynchronous Log Read (Transactional Capture) DB2 for z/os DB2 for LUW DB2 for iseries DB2 for VM/VSE IMS (via IMS DataPropagator) Oracle, Sybase, Informix, MS SQL Server (Capture Triggers) DB2 for z/os DB2 for LUW DB2 for iseries Oracle, Sybase, Informix, MS SQL Server, and Teradata (through Federation Layer) Asynchronous Log Read (Transactional Capture) DB2 for z/os DB2 for LUW DB2 VM/VSE (unidir) DB2 for z/os DB2 for LUW Informix, Oracle, Sybase, MS SQL Server through Federation Layer Asynchronous Log Read (Transactional or Row Capture) DB2 for z/os DB2 for LUW DB2 VM/VSE (unidir) IMS VSAM CA IDMS User Application WS DataStage WS Message Broker 12

7 Summary IBM Replication Architectures (II) Architecture Pushing Committed Data Pulling Committed Data Full Refresh SQL Replication Data externalized to CD Staging Table when Source Transaction commits Changed Data pulled from CD Tables by Apply via DRDA Automatic: Select into Spill File, Insert into Target Table Load exit: Crossloader, Export/Load, or Export/Import Manual Q Replication 1 MQ Message sent to Apply Server per committed Source Transaction Automatic: Uses Load Exit (Crossloader, Export/Load, or Export/Import) Manual: User loads Target Table and sends Load- Done Message to Capture No Load Event Publishing 1 MQ Message sent to per committed Source Transaction or per Relational Row Not provided directly by Event Publishers. 13 Summary IBM Replication Transformations Architecture Horizontal Subsetting Vertical Subsetting Before Images Yes Yes SQL Replication WHERE clause specified on Subscription level (Apply) User defined trigger on CD or target table By UOW/CD table control columns (can ignore inserts, updates, or deletes) Q Capture SQL predicate against after images (not before images) User defined trigger on target table Can ignore deletes Ignore transactional signal Yes No Q Replication Yes Event Publishing Q Capture SQL predicate against after images (not before images) Classic exit routine Can ignore deletes Ignore transactional signal By Consumer Yes selected cols, key cols, changed columns, all cols After Images Yes Yes Yes Computed Columns Yes select expression No By consumer Table/Column name change Yes Yes By consumer Stored Procedure Yes for each apply of a set Yes for each applied row SQL Statement Yes for each apply of a set No 14

8 How does the Q-Replication & Event Publishing Solution complement existing IBM Data Replication Infrastructures SOURCE3 SOURCE2 CAP1.CONTROL CAP1.UOW SOURCE1 CD2 DB2 Log Log Reader 1 ADMIN Thread WORKER Thread MONITOR Thread PRUNING Thread Capture Schema SQLCAP1 LOCKING Thread CD Tables Send Q CAP2.CONTROL Log Reader 2 Q Subscription One Log API per DB2 LUW Database DB2 Subsystem DB2 Data-Sharing Group INITIAL Thread WORKER Thread ADMIN MONITOR Thread PRUNING Thread Capture Schema QCAP2 LOCKING Thread Send Q Event Publication 15 Benefits of Multiple Capture Schemas Q-Capture and SQL-Capture in parallel Maintaining existing SQL-Replication Scenarios Adding Q-Replication e.g. for Low Latency or Disaster Recovery Purposes CD Table Staging as well as Business Integration Existing DPropR Customers can extend their existing Infrastructure with Q-Replication Multiple Q- and SQL- Capture Jobs per Source Server Improved Scalability in terms of Throughput / Performance Accounting for separate Capture Tasks Tuning: Low Latency vs. Transformations vs. Distribution 16

9 Agenda IBM Information Replication Architectures Overview Q-Capture & SQL-Capture Replication Topologies Throughput & Performance Administration, Operations, & Monitoring Packaging & Products Summary 17 Transactional Capture SQL-Replication SOURCE1 SOURCE2 REGISTER CAPPARMS IBMSNAP_UOW uowid commitseq commitseq int..seq op DB2 Log TX1: INSERT S1 TX2: INSERT S2 TX3: DELETE S1 TX1: UPDATE S1 TX1: COMMIT TX3: ROLLBACK CAPTURE In-Memory-Transactions TX1: INSERT S1 TX1: UPDATE S1 TX1: COMMIT TX3: DELETE S1 TX3: ROLLBACK TX2: INSERT S2 Zapped at Abort Never makes it to Staging Tables Externalized into CD and UOW Table at COMMIT. I U Transaction is still in-flight Nothing inserted yet. 18

10 Transactional Capture Q-Replication & Event Publishing SOURCE2 SOURCE1 SUBS CAPPARMS Restart Queue DB2 Log TX1: INSERT S1 TX2: INSERT S2 TX3: DELETE S1 TX1: UPDATE S1 TX1: COMMIT TX3: ROLLBACK CAPTURE In-Memory-Transactions TX1: INSERT S1 TX1: UPDATE S1 TX1: COMMIT TX3: DELETE S1 TX3: ROLLBACK TX2: INSERT S2 Zapped at Abort Never makes it to Send Queue. Send Queue MQ PUT when COMMIT Record found Transaction is still in-flight Nothing happened yet. 19 Benefits of Transactional Capture Flexible Architecture Relational SQL Replication (Transactions staged in CD Tables) Q based Replication & EP (Transactions put into Send Queue) SQL-Capture Transaction inserted into CD Tables when committed Apply can fetch Change Data directly from CD Tables Pruning does not need to care for uncommitted Data Pruning runs independently as separate Thread Q-Capture & Event Publishing Transaction put into Queue when committed Data sent to Target (Receive Q) as soon as it is committed No Polling required for Low Latency Replication 20

11 Summary Transactional Capture Architecture SQL Replication Q Replication Event Publishing Pruning Logging LOB Support UOW & CD Tables (all Rows already replicated), Monitoring Tables DB2: Insert into CD & UOW DB2: Delete from CD & UOW DB2: Target Table Operations Changed LOB directly read from Source Table Limitations in Peer-to- Peer and Update Anywhere Monitoring Tables only MQ: Send Queue MQ: Receive Queue DB2: Target Table Changed LOB directly read from Source Table No Limitations in Peer-to- Peer Peer-to-Peer preferred over bi-directional due to better conflict detection in case of changed LOB column Monitoring Tables at source only MQ: Send Queue MQ: Receive Queue Changed LOB directly read from Source Table 21 Agenda IBM Information Replication Architectures Overview Q-Capture & SQL-Capture Replication Topologies Throughput & Performance Administration, Operations, & Monitoring Packaging & Products Summary 22

12 Sample SQL-Replication Scenarios SOURCE SOURCE SOURCE UCOPY UCOPY UCOPY REPLICA REPLICA REPLICA STAGING STAGING Data Distribution (1:many) Hub & Spoke Update Anywhere UCOPY SOURCE CD SOURCE CD UCOPY UCOPY SOURCE SOURCE SOURCE COPY HISTORY UCOPY UCOPY Data Consolidation (many:1) UniDirectional Transformation Multi-Tier Staging 23 Sample Q-Replication Scenarios SOURCE COPY CD UniDirectional PEER 2 PEER 1 Peer-to-Peer PEER 3 Key Scenarios: Low-Latency Replication Geographically dispersed Applications with distributed Databases Software-based Hot- Standby Cross DB2-Family SOURCE TARGET TARGET TARGET Data Distribution (1:some) PRIMARY Bi-directional SECONDARY Not yet: History Tables / CCDs Source Views Target Views SQL Expressions Hub/Spoke Update Anywhere Federated Sources 24

13 Bi-directional and Peer-to-Peer Replication: Conflict Detection Enables multi-directional replication that may result in conflicts Value based conflict resolution 2 participating nodes only Uses old and new value data comparisons Allows merge if only distinct column values were changed Minimal overhead Designated site wins conflicts Not all academically possible kinds of conflicts can be detected Version based conflict resolution 2 or more participating nodes (practical limit around 6) Requires extra columns and triggers to provide versioning of rows Most robust conflict detection and resolution (with some restrictions) Most recent timestamp wins conflicts 25 Summary Data Replication Topologies (I): Models Architecture SQL Replication Q Replication Event Publishing Data Distribution (1:Some) Data Consolidation (Some:1) Join Sources Computed Target Table Columns Scales to unlimited Number of Target Servers CCD Staging to optimize Fan-Out Topologies Through Target Views SQL Expressions (Full SQL Power) Source Views Limited Number of Target Servers (single digit) No CCD Staging No No Target Views supported No No Stored Procedures can be used as Target Object instead of Tables Limited Number of Target Servers (single digit) Consumer Process Consumer Process Consumer Process DDL Replication No Limited (ADD COLUMN) through special SIGNAL No 26

14 Summary Data Replication Topologies (II): Target Types Architecture SQL Replication Q Replication User Copy Point in Time Aggregate (Base & Change) CCD Replica Stored Procedure - IBMSNAP_LOGMARKER timestamp column) No for peer to peer (ibmqrepvertime timestamp column) No No (not yet) Equivalent use of User Table for update anywhere 27 Summary Data Replication Topologies (III): Update Anywhere Architecture Master / Slave Peer-to-Peer SQL Replication Hierarchical Replica Concept 1 Master, multiple Replicas Conflict Checking based on captured CD Table Rows Resolution compensation at replica, user exit for resolution N Captures, n-1 Applies (Push/Pull) 2 or more Participants No Conflict Checking Q Replication Bi-directional Setup 2 Participants Conflict Checking based on current Values of replicated Row (Value-based) 2 Captures, 2 Applies (Push/Push) 2 or more Participants Conflict Checking based on Version (Timestamp) of replicated Row Requires 2 Extra Columns and 2 Triggers per replicated Table 28

15 Some Guidelines When to choose What Low-Latency, High-Volume Replication Source and Target Tables of similar Structure Bi-directional Replication (e.g. for Hot-Standby Purposes) Peer-to-Peer Split Workload Huge Number of Tables (e.g. Siebel) Replication across DB2-Family Q Replication Replication from DB2 to federated Targets Fan-Out to huge Number of Targets CD2 SQL Replication Classic Sources Complex Transformations Integration into Business Processes Multi-Tier Staging via CCD Source and Target Tables not of the same Structure (which requires Source Views, Joins or SQL Expressions) Replication from federated Sources Event Publishing 29 Agenda IBM Information Replication Architectures Overview Q-Capture & SQL-Capture Replication Topologies Throughput & Performance Administration, Operations, & Monitoring Packaging & Products Summary 30

16 Throughput: Q & SQL Replication on z/os 25 Q Rep SQL Rep Latency (Seconds) SQL Repl Q Repl Workload Throughput (Rows / Second) Thousands 31 Throughput: Q & SQL Replication on AIX 32

17 CPU: Q & SQL Replication on z/os MIPS per thousand rows per second SQL Replication Q Replication Microseconds per row Source Target Reduced Processor Consumption Q Capture CPU reduced 2 3 times Q Capture CPU around microseconds per row Slightly higher CPU on Target (queue management) 33 Bidirectional and Peer-to-Peer: Affect on CPU MIPS per thousand rows per second SQL Replication QRep Unidirectional QRep Bidirectional Sys 1 Sys 2 QRep Peer to Peer Microseconds per row 34

18 Agenda IBM Information Replication Architectures Overview Q-Capture & SQL-Capture Replication Topologies Throughput & Performance Administration, Operations, & Monitoring Packaging & Products Summary 35 Summary Data Replication Administration Architecture SQL Replication Q Replication Event Publishing Object Creation during Registration / Subscription Replication Center Wizards Command Line Interface Creates all source server objects: CD tablespace, table, index Creates all target objects: target tablespace, table, index Queues set up using MQ interfaces or using RC interface (FP10). Sample scripts also available. Q Map - Queue names can be obtained by RC (FP10) or entered by user Q Subscription can graphically reference all objects Creates all target objects: target tablespace, table, index. Queues set up using MQ interfaces or using RC interface (FP10). Sample scripts also available. Publish Q Map - Queue names can be obtained by RC (FP10) or entered by user Q Publication - can graphically reference all objects DB2 - Yes Classic Data Mapper DB2 - Yes DB2 Yes Classic Data Mapper 36

19 Summary Data Replication Operations & Monitoring Architecture Capture / Apply / Monitor Execution Start / Stop / Suspend / Resume / Reinit Check Status Review Reports Exception Monitoring & Alerts Started Task (z/os) Batch Job (z/os) Unix Process Windows Service Replication Center Command Windows Services z/os console TSO Command Replication Center Job Log / System Status Replication Center SQL Queries SQL Replication Started task (z/os) Batch Job (z/os) Unix Process Windows Service Replication Center Command Windows Services z/os console TSO Command Replication Center Job Log / System Status Replication Center SQL Queries Q Replication & Event Publishing 37 Agenda IBM Information Replication Architectures Overview Q-Capture & SQL-Capture Replication Topologies Throughput & Performance Administration, Operations, & Monitoring Packaging & Products Summary 38

20 Replication Products: z/os DB2 DataPropagator for z/os V8.2 SQL Replication Architecture (DPropR Capture and Apply) Available for DB2 UDB z/os V7 and V8 WebSphere Information Integrator Replication for z/os V8.2 Includes Q Replication and SQL Replication Includes Event Publisher Available for DB2 UDB z/os V7 and V8 Websphere MQ prerequisite when using Q Replication & Event Publishing. 39 Event Publishing Products: z/os WebSphere Information Integrator Event Publisher for DB2 z/os V8.2 WebSphere Information Integrator Classic Event Publisher for IMS V8.2 WebSphere Information Integrator Classic Event Publisher for VSAM V8.2 WebSphere Information Integrator Classic Event Publisher for CA-IDMS V8.2 WebSphere Information Integrator Classic Event Publisher for Adabas V8.2 Q-based Event Publisher for DB2 (Q Capture) Websphere MQ prerequisite Q-based Event Publisher for IMS Websphere MQ prerequisite Q-based Event Publisher for CICS/VSAM Websphere MQ prerequisite Q-based Event Publisher for CA-IDMS Websphere MQ prerequisite Q-based Event Publisher for Adabas Websphere MQ prerequisite 40

21 Replication and Event Publishing Products: Linux, Unix, Windows DB2 UDB V8.2 for Linux, Unix, Windows includes DB2 DataPropagator WebSphere Information Integrator Replication Edition V8.2 WebSphere Information Integrator Event Publisher Edition V8.2 SQL Replication Architecture SQL Capture and SQL Apply (for all DB2 UDB V8 Editions incl. Partitioning Feature) DB2 Sources and Targets. Informix IDS Sources and Targets supported through Federation Capability SQL Replication: DB2 & Multi-Vendor Sources and Targets (Oracle, Informix, Sybase, and MS SQL Server as source & target; Teradata as target only) Q Replication: DB2 Sources and Targets. Multi- Vendor Targets (Oracle, Informix, Sybase, MS SQL Server) Event Publisher: DB2 LUW sources Websphere MQ is bundled with this Product Event Publisher: DB2 LUW Sources Websphere MQ is bundled with this Product Data Changes pubished through Message Queues in external XML Format 41 Replication Products: DB2 for VM and VSE, and iseries DB2 DataPropagator Q Capture for VSE Q Replication DB2 for VSE source Q Capture only WebSphere MQ is a prerequisite DB2 DataPropagator Q Capture for VM Q Replication: DB2 for VM source Q Capture only WebSphere MQ is a prerequisite DB2 DataPropagator for iseries SQL Replication: DB2 for iseries Sources and Targets 42

22 Agenda DB2 Information Replication Architectures Overview Q-Capture & SQL-Capture Replication Topologies Throughput & Performance Packaging & Products Administration, Operations, & Monitoring Summary 43 Summary Q Replication Architecture Addresses High-Volume and Low-Latency Requirements Database Changes for replicated Tables read from DB2 Log Changes immediately published to Message Queges Major Throughput and Performance Improvements SQL Replication Architecture Proven SQL Architecture Benefits from new Architecture SQL Replication well suited for a lot of Requirements SQL- and Q-Replication in parallel Event Publisher Captured Data Changes published to Message Queues Data Changes trigger Business Processes or Replication Available for DB2 and Classic Data Sources 44

23 Session H02 Session Title: WS Information Integrator Q vs SQL Replication: What, When, & Where Ed Lynch IBM edlynch@us.ibm.com 45 Links & Learn (Test & Update) IBM Internet WebSphere Information Integrator V8.2 Homepage (incl. Federation, Replication, Event Publishing, Classic Federation, OnmiFind): WebSphere Information Integrator Developer Zone (incl. White Papers, Hints & Tips, Samples) Documentation and Redbooks Comprehensive WebSphere Information Integrator Online-Documentation (incl. Federated Systems Guide, Installation and Coniguration Guide, etc.) PDF Documentation Download Current WebSphere Information Integrator Replication Redbooks SQL Replication: Q Replication: 46

24 Where to Go for More Information Q Replication Online Manual PDF Manuals developerworks Q Replication Version 8.2 Information Roadmap Quick start for Q replication to Oracle and Sybase Redbook WebSphere Information Integrator Q Replication: Fast Track Implementation Scenarios (SG ) 47 Group WebSphere software Where to Go for More Information WebSphere Information Integrator Event Publishers Web Pages CICS Business Event Publisher for MQSeries Web Page 48

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