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Session - IMS10 * Nick R. Griffin - IMS Tools Product Line Manager Unleash the Capabilities of New Technologies with IMS Tools

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Page 1: IMS10   unleash the capabilities of new technologies

Session - IMS10

* Nick R. Griffin - IMS Tools Product Line Manager

Unleash the Capabilities of New Technologies with IMS Tools

Page 2: IMS10   unleash the capabilities of new technologies

Important disclaimer

2

© Copyright IBM Corporation 2014. All rights reserved.

U.S. Government Users Restricted Rights - Use, duplication or disclosure restricted by GSA ADP Schedule Contract with IBM Corp.

THE INFORMATION CONTAINED IN THIS PRESENTATION IS PROVIDED FOR INFORMATIONAL PURPOSES ONLY. WHILE

EFFORTS WERE MADE TO VERIFY THE COMPLETENESS AND ACCURACY OF THE INFORMATION CONTAINED IN THIS

PRESENTATION, IT IS PROVIDED “AS IS” WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED. IN ADDITION, THIS

INFORMATION IS BASED ON IBM’S CURRENT PRODUCT PLANS AND STRATEGY, WHICH ARE SUBJECT TO CHANGE BY

IBM WITHOUT NOTICE. THE INFORMATION ON NEW PRODUCTS IS FOR INFORMATIONAL PURPOSES ONLY AND MAY

NOT BE INCORPORATED INTO ANY CONTRACT. THE INFORMATION ON ANY NEW PRODUCTS IS NOT A COMMITMENT,

PROMISE, OR LEGAL OBLIGATION TO DELIVER ANY MATERIAL, CODE OR FUNCTIONALITY. THE DEVELOPMENT,

RELEASE, AND TIMING OF ANY FEATURES OR FUNCTIONALITY DESCRIBED FOR OUR PRODUCTS REMAINS AT THE

SOLE DISCRETION OF IBM. IBM SHALL NOT BE RESPONSIBLE FOR ANY DAMAGES ARISING OUT OF THE USE OF, OR

OTHERWISE RELATED TO, THIS PRESENTATION OR ANY OTHER DOCUMENTATION. NOTHING CONTAINED IN THIS

PRESENTATION IS INTENDED TO, NOR SHALL HAVE THE EFFECT OF, CREATING ANY WARRANTIES OR

REPRESENTATIONS FROM IBM (OR ITS SUPPLIERS OR LICENSORS), OR ALTERING THE TERMS AND CONDITIONS OF

ANY AGREEMENT OR LICENSE GOVERNING THE USE OF IBM PRODUCTS AND/OR SOFTWARE.

IBM, the IBM logo, ibm.com, Information Management, IMS, and z/OS are trademarks or registered trademarks of International

Business Machines Corporation in the United States, other countries, or both. If these and other IBM trademarked terms are marked

on their first occurrence in this information with a trademark symbol (® or ™), these symbols indicate U.S. registered or common law

trademarks owned by IBM at the time this information was published. Such trademarks may also be registered or common law

trademarks in other countries. A current list of IBM trademarks is available on the Web at “Copyright and trademark information” at

www.ibm.com/legal/copytrade.shtml

Page 3: IMS10   unleash the capabilities of new technologies

Agenda

Enabling Analytics for IMS Data

How to manage Big Data for IMS

Leveraging New Technologies

Q&A

Page 4: IMS10   unleash the capabilities of new technologies

Data Cloud Engagement

Social. Mobile. Security.

Empowering people with

knowledge, enriching

them through networks

and changing

expectations.

The emergence of cloud

is transforming IT and

business processes into

digital services

Data is becoming

the world’s new

natural resource

There are three important shifts fundamentally changing the way that decisions are made…

Page 5: IMS10   unleash the capabilities of new technologies

Mobile is redefining the Data Center

5

91% 75% 96% 90% 900% Mobile users keep their

device within arm’s reach 100% of the time

Mobile shoppers take action after receiving a location based message

Year-to-year increase in mobile cyber Monday sales

between 2012 and 2011

Users use multiple screens as channels come together

to create integrated

experiences

Increase of global machine-to-machine connections by 2022

© 2013 IBM Corporation 5

IMS Mobile A14

Page 6: IMS10   unleash the capabilities of new technologies

Mobile Maturity Model

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The benefits of implementing mobility into your IT model

Mobility started as a productivity enhancement

Mobility has evolved into a system of engagement platform

IDC: The number of people accessing the Internet from smartphones, tablets and other mobile devices will surpass the number of users connecting from a home or office computer by 2015.

7

Page 8: IMS10   unleash the capabilities of new technologies

Integrate mobile across the enterprise

Mobile technology leaders

know they must integrate

mobile applications with

back-end systems such as

IMS 74% of CIOs

say mobile solutions are part of their vision

for increasing competitiveness

Page 9: IMS10   unleash the capabilities of new technologies

Why System z is an attractive platform for mobile connectivity

IMS 13 Delivering the highest levels of performance, availability, security, scalability and connectivity in the industry

Breaking through 100k TPS 800% greater than IMS 12

CPU reductions up to 62% for Java Apps

SQL access to IMS data from both .NET and COBOL applications

Greater flexibility and faster deployment for new applications with database versioning

Big data exploitation of Hadoop / Big Insights, MDA, Watson Explorer…

Simplified mobile access with JSON, IMS Connect….

Page 10: IMS10   unleash the capabilities of new technologies

The IMS Mobile Business

Our Target Market

– IMS customers with plans to expand their business to leverage mobile access

How we can help

– Securely deliver IMS applications and data to mobile and cloud developers in a managed, governed, and optimized way via:

An integrated platform that supports full discovery, modeling, enablement, and deployment of both IMS transactions and IMS data

A singular approach for System z clients using WAS, CICS, IMS, and DB2

– Provide options to help manage TCO

– Provide solutions for clients in each quadrant of the mobile maturity model

Benefit to our clients

– A comprehensive solution that addresses skills, TCO, continued ROI on their IMS investment, and System z qualities of service

Page 11: IMS10   unleash the capabilities of new technologies

11

IMS Mobile Enablement

z/OS IMS

Connect

IBM Worklight Server

Database Manager

Transaction Manager

IMS Application

Mobile

Devices

IMS

SO

AP

G

ate

way

SQL Adapter

HTTP Adapter

IMS DB

IMS

Un

ive

rsa

l D

rive

r

IMS Explorer for Dev

IMS Explorer for Admin

Web / Desktop

Web-enabled IMS apps

ISPF

z/Linux

IMS Enterprise Suite Components

The IBM IMS Mobile Feature Pack

(IMS Mobile) provides the solution to

easily enable your IMS transaction

assets as services for mobile and cloud

consumption.

Page 12: IMS10   unleash the capabilities of new technologies

12

First National Bank (FNB) Achieving sub-second response for hundreds of millions of monthly transactions on the mainframe

The need:

The ubiquity and convenience of cellphones and tablets as computing devices represented a clear growth opportunity for FNB; in South Africa, more people have cellphones and smart mobile devices than bank accounts. FNB wanted to launch a reliable, secure and highly responsive mobile channel before its competitors, and looked for a platform that would enable very short time-to-market.

The solution:

FNB integrated a new Java-based mobile front-end directly with tried-and-trusted business logic and core banking services running on IBM® Information Management System (IMS™) on an IBM zEnterprise® EC12 server. IBM IMS Enterprise Suite Connect APIs for Java and C and IBM IMS Enterprise Suite SOAP Gateway manage links between the channel applications and core functionality and data on the mainframe.

The benefit:

Rapid deployment enabled FNB to gain first-mover advantage in the market, gaining the number one spot for mobile banking

Ultra-low average end-to-end response times of 30 milliseconds ensure snappy performance for mobile banking users

Fast, secure and reliable mobile banking generates more business for FNB and reduces its average cost per transaction

“We don’t start from the premise that the mainframe is best; rather, we look at the requirements—big data, huge numbers of concurrent processes, high performance, high scalability, high security—and then look at what technology can deliver all of those things. The answer is IBM zEnterprise and IMS.”

—Jay Prag, CIO – Hogan Channels, FNB

Solution components:

IBM® zEnterprise® EC12

IBM z/OS® ZSP03833-USEN-00

Page 13: IMS10   unleash the capabilities of new technologies

Analysis with Big Data for IMS

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14

IBM DB2

Analytics

Accelerator

Applications DBA Tools, z/OS Console, ...

. . .

Operation Interfaces

(e.g. DB2 Commands)

Application Interfaces

(standard SQL dialects)

DB2

Log

Manager IRLM

Buffer

Manager

Data

Manager

System z Superior availability

reliability, security,

workload management,

OLTP performance ...

Powered by PDA True appliance,

Industry leading

ease of performance

Uniform DB2 service,

maintenance, database

administration, ...

Uniform and transparent access for

transactional and analytical applications

DB2 for z/OS Approach: Hybrid Database Management System

Page 15: IMS10   unleash the capabilities of new technologies

Query Execution Process Flow

DB2 for z/OS

Optimizer

IDA

A D

RD

A R

eq

ue

sto

r

DB2 Analytics Accelerator

Application

Application

Interface

Queries executed with DB2 Analytics Accelerator

Queries executed without DB2 Analytics Accelerator

Query execution run-time for queries that

cannot be or should not be off-loaded to

IDAA

SPU

CPU FPGA

Memory

SPU

CPU FPGA

Memory

SPU

CPU FPGA

Memory

SPU

CPU FPGA

Memory

SM

P

Ho

st

Queries executed with value of “ALL” may receive a SQL Error Code if the query cannot run on the accelerator

Heartbeat (DB2 Analytics Accelerator availability and performance indicators)

Page 16: IMS10   unleash the capabilities of new technologies

16

More users across the organization want access to

business critical analytics

Page 17: IMS10   unleash the capabilities of new technologies

History of IMS Analytics

Desire to combine IMS data with other data

– Social, DB2 z/OS data, SAS data, etc

ETL IMS data into data warehouse

– Mostly off z/OS

– Data being sent to potentially many sources

Security can be compromised

Performance historically not keeping up without $$$$$

17

Page 18: IMS10   unleash the capabilities of new technologies

Accelerate IMS Access - Proposed Solution

Leverage Analytics Accelerator

– Metadata resides in DB2

– Copy IMS Data into Accelerator Only

DB2 manages queries and controls access

18

Advantages:

• Data never leaves z/OS

• IMS workload unaffected

• Single server for z Analytics

• Join of IMS/DB2 data

• Less reason to ETL DB2/IMS

data off platform

Page 19: IMS10   unleash the capabilities of new technologies

Basic Process

Decide IMS data needed

Decide extraction and mapping tools and process

Currency required (Refresh Frequency)

Map IMS data to relational model

Create DB2 table that matches extracted record format

Add table to Accelerator

Extract IMS data

Load extracted data to DB2 table

Load data from DB2 into the accelerator

Enable DB2 version of table for acceleration

19

Page 20: IMS10   unleash the capabilities of new technologies

Extraction Considerations and Methods

Considerations

– Availability requirements

– Frequency of refresh?

– Impact to OLTP workload

– What data is needed?

Entire database, certain

segments, multiple DBs?

– Consistency of data?

20

Deep Analytics

Transactional Analytics

Image

Copies Unload

Files

Database Clones

Page 21: IMS10   unleash the capabilities of new technologies

Extraction Considerations and Methods

Extraction Tools and Methods

– Custom IMS Application

Additional online workload

Data can still be changing

– Database Clone (IMS Cloning Tool)

Group of databases at a point in time

– Image Copies/Unload Files

Additional knowledge of structure needed

– Mapping and ETL Tools

IMS Explorer

Data Stage, Informatica

Data Virtualization

IMS Catalog via JDBC

Other tools

21

Deep Analytics

Transactional Analytics

Image

Copies Unload

Files

Database Clones

Page 22: IMS10   unleash the capabilities of new technologies

Mainframe Based Data Virtualization

Page 23: IMS10   unleash the capabilities of new technologies

Mapping and Transforming Data

Segment -> Table

Field -> Column

Data type not required by IMS

Many times FIELD only defined for sequence fields

Data content not enforced by IMS

Data cleansing required?

Where are field descriptions defined?

IMS Catalog

Copy books

JAVA Classes

Non-unique or non-keyed segments

23

IMS Database

DB2 Tables

Part_No Part_Description

&schema.Part_Master

Process

Code

Invoice

Code

Cost

Center

PM_Part_no

&schema.Standard_Info

Area Dept Project Division PM_Part_no

&schema.Stock_Status

Page 24: IMS10   unleash the capabilities of new technologies

PARTROOT

STANINFO STOKSTAT

CYCCOUNT BACKORDER

DataBase Definition (DBD)

DBD NAME=DI21PART,ACCESS=(HISAM,VSAM)

DATASET DD1=DI21PART,DEVICE=3380,OVFLW=DI21PARO,

SIZE=(2048,2048),RECORD=(678,678)

SEGM NAME=PARTROOT, PARENT=0,BYTES=50, FREQ=250

FIELD NAME=(PARTKEY,SEQ),TYPE=C,BYTES=17,START=1

SEGM NAME=STANINFO,PARENT=PARTROOT,BYTES=85, FREQ=1

FIELD NAME=(STANKEY,SEQ),TYPE=C,BYTES=2,START=1

SEGM NAME=STOKSTAT, PARENT=PARTROOT, BYTES=160, FREQ=2

FIELD NAME=(STOCKEY,SEQ),TYPE=C,BYTES=16,START=1

SEGM NAME=CYCCOUNT, PARENT=STOKSTAT, BYTES=25, FREQ=1

FIELD NAME=(CYCLKEY,SEQ),TYPE=C,BYTES=2,START=1

SEGM NAME=BACKORDR, PARENT=STOKSTAT, BYTES=75, FREQ=0

FIELD NAME=(BACKKEY,SEQ),TYPE=C,BYTES=10,START=1

DBDGEN

FINISH

END

Program Specification Block (PSB)

DBPCB01 PCB TYPE=DB,DBDNAME=DI21PART,PROCOPT=GOT,

KEYLEN=43

SENSEG NAME=PARTROOT

SENSEG NAME=STANINFO,PARENT=PARTROOT

SENSEG NAME=STOKSTAT,PARENT=PARTROOT

SENSEG NAME=CYCCOUNT,PARENT=STOKSTAT

SENSEG NAME=BACKORDR,PARENT=STOKSTAT

PSBGEN LANG=COBOL,PSBNAME=DFSSAM07

END

IMS/DB definitions

Mapping IMS Data to Tables

Table-name

PARTROOT

Column-names

PARTKEY

Table-name

STANINFO

Column-names

STANKEY

Table-name

STOKSTAT

Column-names

STOCKKEY

Table-name

CYCCOUNT

Column-names

CYCLEKEY

Table-name

BAKCORDER

Column-names

BACKKEY

DBD:DI21PART

24

Page 25: IMS10   unleash the capabilities of new technologies

Flattening IMS Database Records

Concatenated Keys

– Concatenated key fields not stored with

segment data

– Key fields needed for each row to

maintain referential integrity

OCCURS clauses

– Multiple instances of a field in a single

instance of a segment

– Multiple ‘rows’ should be generated

26

STANINFO (Standard data)

01 STAN-INFO.

02 SI-PROC-CODE PIC XX. <-Key

02 SI-INV-CODE PIC X.

02 SI-COST-CTRS PIC X(30).

02 SI-COST-CTRS-D REDEFINES SI-COST-CTRS.

05 SI-COST-CTR-NO OCCURS 3 TIMES

PIC X(10).

Page 26: IMS10   unleash the capabilities of new technologies

Loading Transformed Data

End result of transformation: Data in DB2 Load file format

DB2 Load Utility can perform more transformations

Load syntax needed to describe IMS data in file

(DEPTNO POSITION (1:3) CHAR(3),

DEPTNAME POSITION (4:39) CHAR(36),

MGRNO POSITION (40:45) INTEGER EXTERNAL(6),

HDATE POSITION (46:55) DATE EXTERNAL(10),

Etc…

27

Page 27: IMS10   unleash the capabilities of new technologies

IMS Data in DB2 Analytics Accelerator

Table A

Table B

Table C

DB2 Analytics Accelerator DB2 Tables

Two Step Load Process – Can be CPU Resource Intensive

Extracted IMS Data

File A

File B

File C

Load Load

#1 #2

28

Page 28: IMS10   unleash the capabilities of new technologies

How IBM Tools Can Maximize Accelerator Value

Customers want to learn more about their investment in the Accelerator and maximize its use in

their environment

– Customer’s are looking at creative ways to exploit the Accelerator….

• IMS, VSAM, SMF Data, Non-z/OS data ….

– Data Mining, IT Analytics, Reporting

Three different areas where tools can provide value

– Assessment

• Do I have a workload that would benefit from the Accelerator?

– Optimization

• Can I optimize the workload to take advantage of the Accelerator?

– Administration

• Can I manage the Accelerator more effectively?

29

Page 29: IMS10   unleash the capabilities of new technologies

30

IBM Tools: Maximizing your Analytics Accelerator Investment

OMEGAMON XE for DB2 PE

Analyze

and

Report

DB2 Admin/OC

Manage

and

Administer

Query Workload Tuner for z/OS

Compare

and

Tune

Query Monitor for DB2

Monitor

and

Identify

DB2 Analytics Accelerator

Loader

Performance

Load with

options

Compare

and

Tune

DB2 Analytics Accelerator

Loader

Performance

Load with

options

Page 30: IMS10   unleash the capabilities of new technologies

Accelerator Loader can load data from a file in one of two methods:

1. Dual External Load

Loads data into both DB2 and the Accelerator in parallel

2. Accelerator Only

Accelerator Loader loads directly into Accelerator (no load in DB2)

User is responsible for building the load file

– Extracted data can come from various sources

IMS, VSAM, Oracle…..etc

– File must be compatible for input into the DB2 LOAD utility

– Field specification must describe input data format. This must be compatible with the DB2 LOAD utility.

IBM DB2 Analytics Accelerator Loader: What is External (Dual) Load

32

Page 31: IMS10   unleash the capabilities of new technologies

IMS Data in DB2 Analytics Accelerator

Table A

Table B

Table C

DB2 Analytics Accelerator DB2 Tables

Two Step Load Process – Can be CPU Resource Intensive

Extracted IMS Data

File A

File B

File C

Load Load

#1 #2

34

Page 32: IMS10   unleash the capabilities of new technologies

DB2 Analytics Accelerator Loader: External Load (Dual Load Option)

Table A

Table B

Table C

DB2 Analytics Accelerator DB2 Tables

Parallel Load into DB2 and Accelerator – Faster Load Cycles – Reduce Costs

Extracted IMS Data

File A

File B

File C

#1 #1

35

Page 33: IMS10   unleash the capabilities of new technologies

DB2 Analytics Accelerator Loader: External Load (DB2 Analytics Accelerator Only Option)

Table A

Table B

Table C

File A

File B

File C

#1 #1 Table A

Table B

Table C

R E D U C E D

S T O R A G E

DB2 Analytics Accelerator Only Load – Reduced Elapsed Time – Reduced Cost – Reduced DASD 36

DB2 Analytics Accelerator DB2 Tables IMS Extracted External Data

Page 34: IMS10   unleash the capabilities of new technologies

Performance

38

Page 35: IMS10   unleash the capabilities of new technologies

Performance

39

Page 36: IMS10   unleash the capabilities of new technologies

How to manage Big Data for IMS

Page 37: IMS10   unleash the capabilities of new technologies

IMS Automated Data Base Solutions Checks data base status on a regular basis

– User specified thresholds for key indicators

Performs reorganization only when necessary

Performs auxiliary functions: IC, PC, IB, etc.

Keeps data bases performing optimally

Saves human resources

Saves computer resources

Cost efficient solution for both predictable and unpredictable data base growth and

activity

Page 38: IMS10   unleash the capabilities of new technologies

Two Approaches = Single Solution Conditional Reorganization

– User/scheduler initiated job submission

– Immediate Sensor Data Collection from Data Base

– Evaluation of Sensor Data versus Policy

– Decision to Reorganize or Quiesce

– IMS Data Base Solution Pack Reorganization Expert

Autonomic Reorganization

– System initiated job submission

– Periodic Sensor Data Collection from Data Base

– Periodic Evaluation of Sensor Data versus Policy

Passive = Recommendations only

Active = Initiate and manage Autonomic Reorganization

– IBM Base Pack IMS Autonomics Director

No charge

Page 39: IMS10   unleash the capabilities of new technologies

Getting the Most from Conditional Reorganization

Page 40: IMS10   unleash the capabilities of new technologies

Smart Reorg utility in Reorg Expert

44

Smart

Reorg

Driver

IMS Tools Knowledge Base

Report Service

Parallel Reorganization

Service

Conditional Reorganization

Support Service (including Policy Services)

IMS Tools

Knowledge

Base

Server Sensor

Data

Smart Reorg utility job step Repositories

Reports

Policy

Database

Shadow

Database

Reload

Unload

Scanning Online DB

IMS

Online Subsystems

Conditional Reorganization Support Service (CRSS)

provides extended features

Extended services are built on the IMS Tools Knowledge Base

(IMS Tools KB) and Policy Services infrastructures

IMS Tools Online System Interface

Page 41: IMS10   unleash the capabilities of new technologies

Smart Reorg utility in Diagnosis Only mode

45

Smart

Reorg

Driver

IMS Tools Knowledge Base

Report Service IMS Tools

Knowledge

Base

Server Sensor

Data

Smart Reorg utility job step Repositories

Reports

Policy

Database

Conditional Reorganization

Support Service (including Policy Services)

IMS

Online Subsystems

Smart Reorg Driver supports diagnosis only mode,

where database exceptions and reorganization

need are checked and notified but no

reorganization is performed

Scanning Online DB

Page 42: IMS10   unleash the capabilities of new technologies

46

Smart Reorg Driver

Renamed to

original name Renamed to

original name

Renamed to

original name Renamed to

original name

DIS

PO

LD

DS

Pro

cessin

g

Shadow DBDS Shadow DBDS

Index Index Shadow Index

IC

Index Builder Task

Image Copy Task (can include Pointer Check)

IC IC

Index Builder’s SORT Address Space Index Builder’s SORT Address Space Index Builder’s

SORT Address Space

DB is Off-lined Read-Only Access to On-line DB

DB

Re

ad

-On

ly P

rocessin

g

DB

Qu

iescen

t p

roce

ssin

g

NO

TIF

Y.R

EO

RG

DB

DS

Na

me

Sw

app

ing

CH

AN

GE

.DB

AU

TH

RE

AD

OF

F

Reload Task

Unload Task

NO

TIF

Y.IC

/UIC

Re

sta

rtin

g D

B

/DBD DB /DBR DB /STA DB

Online Online

Original Index Original Index Original Index

Original DBDS Original DBDS

Renamed to

original name

CR

SS

Pre

-

pro

ce

ss

Parallel Reorganization Service (used only when reorg needed)

Sensor data are

collected during

Reorg Reload

CR

SS

Po

st-

pro

ce

ss

Page 43: IMS10   unleash the capabilities of new technologies

Smart Reorg utility features at a glance

All information are stored in and managed by IMS Tools KB repositories

Sysplex-wide access to these repositories is supported by IMS Tools KB Server

47

IMS Tools KB

Server

ISPF Report

Search/View

ISPF

System z

Server

Smart Reorg job

Sensor data records

and reports are sent

to repository

A policy is retrieved

from repository and is

applied

Policy

Repository*1

Report

Repository*2

Sensor Data

Repository

TSO users

and/or

z/OS

operator

consoles

Notification messages are sent

Sysplex 1. Sensor Data

Collection

2. Reorg policy

Definition

3. Conditional

Reorganization

4. Exception

Notification and

Reporting

5. Tracking exceptions

and reorgs

*1: ITKB Input Repository is used as the Policy

Repository.

*2: ITKB Output Repository is used as the Report

Repository.

1

3 4

5

3

Policy

Management

2

Page 44: IMS10   unleash the capabilities of new technologies

Getting the Most from Autonomics

Page 45: IMS10   unleash the capabilities of new technologies

IMS Tools Autonomics Vision

Sensors collect resource statistics

Policies evaluate sensor data and identify potential problems

Automation orchestrates the collection and evaluation of sensor data

Modernization presents an interactive modern interface for managing the system

Putting information to work

Sensors Policies

Automation Modernization

Page 46: IMS10   unleash the capabilities of new technologies

List of Full Function sensor data collected

Database Record Statistics (per database or HALDB partition) Nbr. of DB records Avg. DB record length

Randomizer Statistics (per HDAM or PHDAM partition) Nbr. of total RAPs Nbr. of unused RAPs % of number of unused RAPs Nbr. of synonyms

% of number of synonyms Nbr. of root not on home block % of root not on home block % of segment data in overflow

Nbr. of roots in overflow % of number of roots in overflow Bytes of segments in RAA

Volume/Extents Statistics (per data set) Allocation type (CYL, TRK, …) Primary allocation amount Secondary allocation amount SMS-managed or not

Max. nbr of extents for the d.s. Max. nbr. of extents for the volume Nbr. of extents allocated Nbr. of volumes used

Nbr. of unused volumes Nbr. of unused assigned volumes Nbr. of unused candidate volumes

Nbr. of available remaining extents determined by the max. nbr. of data set extents and the max. nbr. of extents available on volumes assigned to the data set

Data Set Space Usage Statistics (per data set) Block/CI size Nbr. of blocks/CIs used Max. size of the data set % of data set size against the max.

High-Allocated-RBA High-Used-RBA

IMS Space Utilization Statistics (per data set) Total bytes of segment data Total bytes of free spaces Total bytes of slack bytes % of free spaces

% of segment data % of unused bytes in the data set Total nbr. of segments Total nbr. of VL segments

Total nbr. of VL-split segments % of nbr. of VL-split segments Total nbr. of slack bytes Avg. nbr. of slack bytes per block

Total nbr. of FSEs Avg. nbr. of FSEs per block Nbr. of FSEs valid for shortest segments Nbr. of FSEs valid for longest segments

Avg. nbr. of non-reusable FSEs Total nbr. of pointers Total nbr. of ptrs pointing external block % of nbr. Of ptrs pointing ext. block

HISAM/SHISAM Statistics (for HISAM) Logical record length Total nbr. of CI splits % of nbr. of CI splits Total nbr. of CA splits

% of nbr. of CA splits Total nbr. of HISAM delete bytes % of nbr. of HISAM delete bytes 50

Sensors

Page 47: IMS10   unleash the capabilities of new technologies

Sensor Data Repository

The sensor data is stored in the Sensor Data Repository as records made up of data elements

The data record is stored in a well-understood and flexible format

– This allows its use years and multiple product releases later in time

The data and its format is understandable between products and releases to ensure reliable functionality

51

IMS Tools Knowledge

Base Server

Sensor Data

Store/Read

Services

Data

Validation

Data

Dictionary

Policy

Services

Smart Reorg job

IMS Tools Knowledge Base

Sensor Data Repository

Data element names and

their attributes, including

the description of the

element, are defined here

Sensors

Page 48: IMS10   unleash the capabilities of new technologies

Major components of a policy

Policy has two major components:

– Rules that detect exceptions

– Exception-to-Action mapping

Rule Set for exception detection

– Rule has two elements:

Condition (a threshold check formula)

Exception (a named state of a DB)

Action List for action mapping

– An Action List entries defines an exception-action mapping

– The sequence of Action List entries defines whether to reorganize the subject database

52

Policy Rule Set

Rule Rule

Rule Rule

Rule Rule

Action List Action Action Action

Rule

Class

Severity Level

Exception

Message Text

Expression

Threshold set

Condition

Threshold set

Threshold set

Condition Exception

An Action List Entry Exception

Class

and

Level

Action

“MESSAGE”

or

“REORG”

Policies

Page 49: IMS10   unleash the capabilities of new technologies

Exception detection condition is defined in a rule

53

DB_PCT_OF_MAX_DS_SIZE

The percentage of allocated bytes (bytes for

High Allocated RBA) compared to the maximum

size (4 GB or 8 GB).

DB_PCT_BYTES_FREE_SPACE

The percentage of bytes of total free spaces to

the total used bytes for the data set.

Sample Data Elements

A named set of threshold values for the

threshold variables that are referred to

in the condition descrition above is

called a threshold set.

A Sample Condition Description

A Sample Set of Threshold Values

&1 = 85 &2 = 20

Threshold Set

You can tweak

these threshold

values

“MED” =

Policies

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Attributes of an exception

Exception class

– Represents the specific database event category being monitored

Exception severity level

– Is a category representing the severity of the detected exception

– There are fixed three levels:

WARNING

SEVERE

CRITICAL

Exception message

– Is the text that can be used by the resulting policy action to describe the database event that crossed a rule threshold set

– Users can modify the message text

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Class

Level

Exception

Message Text

CRITICAL

SEVERE

WARNING

Exception Class:

FRAGMENTED_FREE_SPACES

* Name of the rule that detects the this exception:

IBM.FRAGMENTATION.10

An Example of Exception Class

“The fragmentation of free space in %RESOURCE%

has increased”

* The symbol %RESOURCE% is replaced by a DBD

name or a partition name.

An Example of Exception Message

Policies

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Exception-to-Action mapping An action is the result of a rule condition being

reached or exceeded during a policy evaluation

A rule threshold set has been mapped to a severity level for the exception class associated with the rule

In turn, the severity level is mapped to an action

Note: In IBM-provided REORG policies, severity-level-to-action mappings are fixed for each exception class and are not customizable.

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Threshold

Set

Exception Class

+ Severity Level

Action

HIGH

MED

LOW

CRITICAL

SEVERE

WARNING

REORG

MESSAGE

An Example of threshold/exception/action mapping

Automation

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Drill down on Exceptions from an Enterprise-wide View

Resource status,

errors, and

recommendations

can be aggregated

with an ability to

drill down

Modernization

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Holistic View of IMS Databases

…from Sensors

…from Auto Discovery

…from Autonomics Director …from Various HP Tools

Modernization

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Integrated Help Throughout

Integrated help

educates new and

experienced DBAs

on database

concepts and how

to interpret charts

Modernization

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Consider a combined strategy

Use for appropriate situation

Conditional Reorganization for environmental compatibility

issues

– Mainly Job scheduler mandates

Autonomic Director

– In Passive Mode for health check between scheduled

reorganizations to detect anomalies

– For On Demand requests for DB status to address perceived

performance issues

Phased approach is best

– Gain experience with a small subset of data bases

– Consider using passive mode first

– Migrate to active mode when comfortable

Sensors Policies

Automation Modernization

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Leveraging New Technologies

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Evolution of IMS Tools

Reduce elapsed time of data management processes

–> More application availability

Easier, more intuitive interfaces

–> Multi-tasked staff

Self managing – Autonomics

–> Increased workloads

Exploit new technologies

–> Growth in data, transactions

–> Enhance business value of data

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Fast-Replication Storage Processors

Creates an instant copy of a volume or a dataset at a specific point-in-time

– Often referred to as Point-in-Time copy, instantaneous copy or time zero (t0) copy

Advantages

– Can copy huge volumes of data very quickly

-> Lab tests

– Minimal disruption for the running applications

– Copy process is offloaded to the storage subsystem

-> opportunity to lower host CPU and host I/O

Reduce backup costs and time

Reduce recovery times

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zIIP Processors

Offloads General Mainframe Processor Work

Originally Developed for DB2 Processing Loads

– DB2 V8 was the first application to exploit zIIP processors

Now widely used to offload many zOS workloads

Must switch between TCB and SRB execution mode

How IMS Tools can leverage

– ‘Sorting’

• Reorganization, Index Rebuild, Change Accumulation

– Computing

• Pointer Checker

BSAM and VSAM I/O can now be offloaded

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z13 Processors

More Instructions in Hardware

Larger Memory

– Up to 10tb

Simultaneous Multi-Threading (SMT)

– Similar to IDAA processors

Intelligent I/O system

– 830 gb/sec bandwith

– IBM zHiperWrite

• DB2 log write performance

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Summary

IBM is continuing to invest in IMS Tools

– Analytics Accelerator – means to do real analytics without moving data

off of z platform.

– Autonomics – adding intelligence into tools to help DBAs manage

growing workloads more efficiently

– Leveraging new technologies to help DBAs perform tasks more

efficiently and reducing costs

Enablement of new technologies

-> Enhance business value of application data

-> Assist in workload demands

-> Optimize cost of data management

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