000-736 exam Dumps Source : DB2 9 Database Administrator for Linux UNIX and Windows Upgrade
Test Code : 000-736
Test cognomen : DB2 9 Database Administrator for Linux UNIX and Windows Upgrade
Vendor cognomen : IBM
braindumps : 76 actual Questions
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In September 2018, IBM introduced a fresh product, IBM Db2 AI for z/OS. This synthetic intelligence engine screens data entry patterns from executing SQL statements, makes exhaust of machine learning algorithms to pick out premier patterns and passes this assistance to the Db2 query optimizer for exhaust through subsequent statements.computing device gaining scholarship of on the IBM z Platform
In may additionally of 2018, IBM announced edition 1.2 of its machine gaining scholarship of for z/OS (MLz) product. here's a hybrid zServer and cloud application suite that ingests efficiency facts, analyzes and builds models that picture the fitness status of a considerable number of indicators, screens them over time and provides real-time scoring capabilities.
a few features of this product providing are aimed at supporting a community of mannequin builders and bosses. for instance:
This computer learning suite turned into originally aimed toward zServer-primarily based analytics purposes. one of the first obtrusive decisions become zSystem performance monitoring and tuning. gadget administration Facility (SMF) records that are automatically generated through the operating rig deliver the uncooked facts for device useful resource consumption corresponding to significant processor usage, I/O processing, reminiscence paging etc. IBM MLz can assemble and store these records over time, and construct and coach models of system habits, rating those behaviors, determine patterns no longer without rigor foreseen via people, boost key performance symptoms (KPIs) after which feed the mannequin consequences again into the system to Have an result on device configuration alterations that can improve efficiency.
The subsequent step was to implement this suite to resolve Db2 performance data. One answer, known as the IBM Db2 IT Operational Analytics (Db2 ITOA) solution template, applies the desktop researching expertise to Db2 operational facts to gain an realizing of Db2 subsystem fitness. it will probably dynamically build baselines for key efficiency symptoms, deliver a dashboard of these KPIs and provides operational team of workers actual-time insight into Db2 operations.
while regular Db2 subsystem performance is a crucial ingredient in customary utility health and efficiency, IBM estimates that the DBA support group of workers spends 25% or extra of its time, " ... combating access path issues which trigger performance degradation and service impact.". (See Reference 1).AI involves Db2
trust the plight of synchronous DBAs in a Db2 atmosphere. In ultra-modern IT world they need to succor one or more massive statistics functions, cloud software and database functions, application setting up and configuration, Db2 subsystem and application performance tuning, database definition and management, cataclysm healing planning, and greater. question tuning has been in existence considering that the origins of the database, and DBAs are always tasked with this as neatly.
The heart of query direction analysis in Db2 is the Optimizer. It accepts SQL statements from applications, verifies authority to entry the facts, studies the locations of the objects to live accessed and develops a listing of candidate records entry paths. These entry paths can encompass indexes, desk scans, numerous desk relate methods and others. within the statistics warehouse and massive facts environments there are usually further choices accessible. One of these is the existence of abstract tables (every so often called materialized question tables) that hold pre-summarized or aggregated statistics, therefore enabling Db2 to preclude re-aggregation processing. an extra preference is the starjoin entry path, common in the data warehouse, where the order of desk joins is changed for efficiency motives.
The Optimizer then reviews the candidate access paths and chooses the entry path, "with the lowest can charge." can imbue during this context potential a weighted summation of aid usage together with CPU, I/O, reminiscence and other resources. eventually, the Optimizer takes the bottom imbue entry course, outlets it in remembrance (and, optionally, within the Db2 listing) and starts off access course execution.
massive facts and statistics warehouse operations now embrace application suites that allow the enterprise analyst to result exhaust of a graphical interface to construct and exploit a miniature facts mannequin of the statistics they wish to analyze. The packages then generate SQL statements in response to the clients’ requests.
The rigor for the DBA
to live able to attain decent analytics in your dissimilar information retailers you want a pretty salubrious knowing of the records requirements, an knowing of the analytical functions and algorithms attainable and a excessive-performance data infrastructure. lamentably, the quantity and site of records sources is increasing (each in measurement and in geography), records sizes are transforming into, and purposes continue to proliferate in number and complexity. How should still IT managers succor this environment, notably with the most experienced and ripen staff nearing retirement?
remember additionally that a huge a fragment of decreasing the overall cost of possession of those techniques is to collect Db2 functions to race faster and greater efficaciously. This usually translates into using fewer CPU cycles, doing fewer I/Os and transporting much less data throughout the network. seeing that it is often problematic to even determine which applications might improvement from efficiency tuning, one fashion is to automate the detection and correction of tuning issues. this is the situation laptop researching and synthetic intelligence can live used to remarkable effect.Db2 12 for z/OS and synthetic Intelligence
Db2 version 12 on z/OS makes exhaust of the desktop learning facilities outlined above to accumulate and shop SQL question text and entry direction particulars, in addition to actual efficiency-linked historic information equivalent to CPU time used, elapsed times and result set sizes. This offering, described as Db2 AI for z/OS, analyzes and outlets the facts in computing device gaining scholarship of models, with the model analysis consequences then being scored and made obtainable to the Db2 Optimizer. The subsequent time a scored SQL statement is encountered, the Optimizer can then exhaust the model scoring data as enter to its access path option algorithm.
The result may still live a discount in CPU consumption as the Optimizer uses model scoring input to select more suitable entry paths. This then lowers CPU costs and speeds application response instances. a huge capabilities is that using AI software does not require the DBA to Have records science skills or abysmal insights into query tuning methodologies. The Optimizer now chooses the most preempt entry paths based mostly not handiest on SQL question syntax and facts distribution information but on modelled and scored historical efficiency.
This can too live specially vital if you shop records in discrete areas. as an instance, many analytical queries against massive records require concurrent entry to determined statistics warehouse tables. These tables are frequently referred to as dimension tables, and that they hold the information points usually used to manage subsetting and aggregation. as an example, in a retail environment conform with a table called StoreLocation that enumerates every shop and its vicinity code. Queries towards withhold earnings facts may additionally wish to aggregate or summarize revenue via place; therefore, the StoreLocation table should live used through some huge information queries. in this ambiance it is ordinary to capture the dimension tables and duplicate them always to the massive statistics utility. in the IBM world this location is the IBM Db2 Analytics Accelerator (IDAA).
Now umpire about SQL queries from both operational functions, data warehouse users and big information company analysts. From Db2's standpoint, full these queries are equal, and are forwarded to the Optimizer. however, in the case of operational queries and warehouse queries they should undoubtedly live directed to entry the StoreLocation desk in the warehouse. on the other hand, the question from the company analyst towards big facts tables may still doubtless access the copy of the table there. This effects in a proliferations of abilities entry paths, and more toil for the Optimizer. luckily, Db2 AI for z/OS can give the Optimizer the information it should result smart entry path selections.the route it Works
The sequence of pursuits in Db2 AI for z/OS (See Reference 2) is commonly privilege here:
There are additionally quite a lot of user interfaces that give the administrator visibility to the fame of the accrued SQL commentary performance records and model scoring.summary
IBM's desktop studying for zOS (MLz) offering is being used to first rate result in Db2 version 12 to improve the performance of analytical queries as well as operational queries and their linked purposes. This requires management consideration, as you must determine that your company is prepared to consume these ML and AI conclusions. How will you measure the costs and merits of the usage of laptop studying? Which IT steer personnel Have to live tasked to reviewing the influence of model scoring, and perhaps approving (or overriding) the results? How will you evaluate and warrant the assumptions that the application makes about entry direction selections?
In other phrases, how smartly were you vigilant your statistics, its distribution, its integrity and your present and proposed access paths? this could determine where the DBAs spend their time in helping analytics and operational software efficiency.
# # #
John Campbell, IBM Db2 extraordinary EngineerFrom "IBM Db2 AI for z/OS: raise IBM Db2 utility efficiency with machine learning"https://www.worldofdb2.com/movements/ibm-db2-ai-for-z-os-enhance-ibm-db2-software-performance-with-ma
Db2 AI for z/OShttps://www.ibm.com/support/knowledgecenter/en/SSGKMA_1.1.0/src/ai/ai_home.html
See full articles by means of Lockwood Lyon
October 27, 2006 14:15 ET
"Viper" facts Server profitable fresh shoppers and using IBM utility company Momentum
ARMONK, huge apple -- (MARKET WIRE) -- October 27, 2006 -- IBM (NYSE: IBM) today introduced a fresh dynamic facts warehousing platform, built upon the business-main DB2 9 "Viper" data server, it is designed to succor clients instantly and simply gain stronger insight into their company suggestions.
the brand fresh DB2 information Warehouse 9 utilizes IBM's patented pureXML expertise that allows purchasers to correctly rescue and exhaust information in an XML format. XML is more and more used because the middling statistics interchange structure between disparate functions, companies and domains. It additionally incorporates DB2 9 "venom" know-how that compresses row statistics to carve back storage requirements, enhance I/O efficiency, and provide quicker information access from the disk.
DB2 9 is IBM's fresh statistics server and comprises probably the most big database expertise enhancements added to the business in more than two a long time. modern announcement comes simply two months after the launch of DB2 9 and continues the momentum of IBM's facts server which has added checklist numbers of recent valued clientele and compiled heaps of aggressive wins over other companies such as Oracle and Microsoft.
shoppers Have embraced DB2 9 and many are moving their databases from Oracle to IBM's fresh facts server, together with: Cardinal fitness, American electric power, vital Michigan tuition, Farmers assurance and Teleglobe. These fresh DB2 9 clients Have renowned the product's compund of industry-first aspects, and sophisticated reliability and performance, because the factors for his or her migration.
"as a result of the groundbreaking aspects in DB2 9, they are seeing a worthy deal of client pastime," renowned Arvind Krishna, vp IBM statistics servers. "Our clients are telling us that DB2 9 has ushered in a brand fresh age of statistics server technology that helps them to grow their groups. with the aid of extending these elements into DB2 facts Warehouse 9 we've once more raised the bar and delivered the business's most advanced dynamic warehousing platform."
DB2 information Warehouse 9 outperforms the constrained choices of rivals by means of excelling at enabling combined workloads that span the largest multi-consumer transactional systems (trading floors and reservations methods) to the greatest pure analytical workloads involving huge multi-billion row tables and the extremely complicated and deeply nested transactions regularly created with the aid of leading OLAP tools. DB2 records Warehouse 9 comprises development and management tools for rapid and productive start and administration of warehouses that deliver most useful entry and efficiency. DB2 9 offers the business's only 3-method partitioning -- including main multidimensional clustering; dice definitions; transformation modules; and facts Move diagrams.
The DB2 9 facts server marks a milestone in the 5-12 months IBM development job that has changed natural, static database technology into an interactive, vivid statistics server that enables consumers to enrich their ability to manage discrete sorts of assistance, corresponding to documents, web pages, and digitally signed XML transactions. IBM's fresh statistics server provides an trade-first seamless and simultaneous assistance stream of each XML and relational information, even with structure, platform or region. The DB2 facts Warehouse 9 extends this capability into further markets.
DB2 facts Warehouse 9 will additionally energy IBM's industry-leading records warehouse appliance choices in keeping with the 'Balanced Configuration Unit' or BCU. The BCU is a fully integrated and scalable information warehouse solution that mixes software, server, and storage substances to maximise enterprise intelligence and assistance management efficiency for businesses.
For greater information about IBM dynamic records warehousing, consult with www.software.ibm.com/bi.
IBM, DB2, pureXML and the IBM e-company brand are emblems or registered logos of curious company Machines service provider. For a listing of additional IBM emblems, tickle observe www.ibm.com/criminal/copytrade.shtml
All different business, product or service names may well live logos or registered trademarks of others. Statements regarding IBM's future construction plans and schedules are made for planning purposes simplest, and are district to trade or withdrawal devoid of notice. Reseller fees might too vary.
Most specialists need to boost their careers – and IBM DB2 gurus are no exception. As know-how adjustments, it's analytic to assume that practitioners may still update their resumes to live aggressive. Even gurus armed with years of fingers-on event can profit from certain DB2 certifications, in line with Roger Sanders, writer of DB2 9 Fundamentals Certification resolve e-book. certified IBM DB2 9 authorities Have an handicap over non-certified individuals when it involves getting a job, Sanders mentioned.
To find out extra, SearchDataManagement.com spoke with Sanders to listen to why he thinks IBM DB2 certifications are value it.
This 20-minute podcast is vital to those seeking greater recommendation about DB2 9 certifications, in addition to to those that are already licensed, but who want to result stronger their resumé with extra certifications. Listeners will:
concerning the speaker: Roger E. Sanders, President of Roger Sanders organizations, Inc. is a Consulting company methods Engineer with EMC. He has been designing and constructing databases and database purposes for more than two decades and has been working with DB2 9 for Linux, UNIX, and home windows and its predecessors given that it was first delivered on the IBM pc (as fragment of OS/2 1.3 extended edition). He has written articles for IDUG solutions Journal and Certification magazine, authored DB2 tutorials for IBM's developerWorks web site, presented at a number of overseas DB2 person's neighborhood (IDUG) and regional DB2 consumer's community (RUG) conferences, taught classes on DB2 family unit Fundamentals and DB2 Database Administration, and is the author of sixteen books on DB2 .
For greater on facts administration careers:
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Roger E. Sanders
DB2 9 for Linux, UNIX, and Windows Database Administration Upgrade Certification Study steer (MC Press) Ace the LUW DBA Certification Upgrade exam (Exam 736) with DB2 9 for Linux, UNIX, and Windows Database Administration Upgrade Certification Study Guide. This comprehensive study steer covers full areas of the test, providing sample questions for each theme with detailed answers. This is the steer for current V8 DBA certified professionals who want to upgrade to IBM Certified Database Administrator certification.
Chapter 6 – tall availability – author Roger E. Sanders, a DB2 expert involved in the development of IBM's DB2 certification exams, focuses on questions that test scholarship of transactions and transaction logging, the ability to back up and restore a database and to successfully establish a tall availability cataclysm recovery (HADR) environment. By reading this chapter, one will learn how to exhaust the recoup DATABASE command and gain censorious scholarship of HADR, topics essential to the 736 exam.
Take a glance at this sample chapter.
This chapter excerpt from DB2 9 for Linux, UNIX, and Windows Database Administration Upgrade Certification Study Guide, by Roger E. Sanders, is made available from MC Press. October 15, 2007 (ISBN 978-158347-078-7). Copyright © 2007.
DB2 DBAs Have a number of graphical-based tools they can exhaust to manage and administer DB2 data servers. Alternatively, a DBA can too exhaust a script-based approach to administer the data environment using the DB2 tools to create and schedule the scripts. This section briefly details the main graphical tools available with DB2.Control Center
The Control seat is the central point of administration for DB2. The Control seat provides DBAs with the tools necessary to discharge typical database administration tasks. It allows easy access to other server administration tools, gives a transparent overview of the entire system, enables remote database management, and provides step-by-step assistance for involved tasks.
The full Systems expostulate represents both local and remote data servers. To array full the DB2 systems that your system knows about, expand the expostulate tree by clicking on the plus note (+) next to full Systems. In motif 1-17, you can observe a DB2 data server called PAULZ contains a DB2 instance called DB2, in which the database TEST is located.
When you highlight an object, details about that expostulate are shown in the Contents Pane.
The main components of the Control seat are:
The Control seat too comes with personality control that you can exhaust to adjust the view and functions available from the Control Center's tree view of your data server. For example, you can limit the expostulate smart view to clarify just Tables or Views, as well as limit the actions you can discharge from the context-sensitive right-click menu options. You can customize your Control seat personalities using Tools → Tools Settings → Customize Control Center.DB2 Replication Center
The DB2 Replication seat is a graphical instrument that allows DBAs to quickly set up and administer full forms of data replication, including the options offered by WebSphere Replication Server. The main functions in setting up a replication environment can live performed with this tool, including:
You can exhaust the Replication seat to set up full kinds of DB2 replications, as shown in motif 1-18.Other Tools Available from the Control Center
By using the Control seat instrument bar, you can access a host of other graphical administration tools to succor you manage and administer databases in your environment:
The DB2 Health seat (Figure 1-19) is the central point of information with respect to managing the health of your DB2 system. When you install a DB2 9 data server, out of the box it automatically monitors 27 (and counting) health indicators that proactively monitor the health of your data server. The DB2 Health seat implements a management-by-exception model whereby alerts are surfaced when Warning or tocsin thresholds are breached. Although DB2 configures these thresholds for you out of the box, you can configure them yourself as well as specify scripted actions to occur in the event of an alert.
You don't Have to exhaust the DB2 Health seat to toil with DB2's health information or set triggered actions to occur on threshold breaches. You can exhaust a number of SQL-based user defined functions to toil with the DB2 health facilities from the command line.
The DB2 Health seat can monitor indicators across the following health categories:
The DB2 Health Center's graphical user interface allows DBAs to select database objects and drill down on its details, current alerts, and the recommended actions. The DB2 Health seat too includes the DB2 Recommendation Advisor that can live used to walk through potential fixes to alerts and alarms raised in this facility.DB2 Configuration Assistant
The DB2 Configuration helper (DB2 CA) lets you maintain a list of databases to which your applications can connect, as well as manage and administer those connections. It is mostly used for client connectivity configuration. You can start the DB2 CA by entering the db2ca command from your operating system's command-line shell or from the DB2 folder in the Start menu. Some of the functions available in the DB2 CA are shown in motif 1-20.
Using the DB2 CA, you can toil with existing databases, add fresh ones, bind applications, set client configuration and registry parameters (also shown in motif 1-20), test connectivity, and import and export configuration profiles.
The DB2 CA's graphical interface makes these involved tasks easier by means of the following:
The DB2 CA's Discovery feature is very useful because it allows you to add a database connection without having to know the syntax of DB2 CATALOG NODE and DB2 CATALOG DATABASE commands, or even the location information of the remote data server.
As you can observe in motif 1-20, the DB2 CA displays a list of the databases to which your applications can connect from the workstation where it was started. Each database is identified first by its database alias, then by its name. You can exhaust the Change Database Wizard to alter the information associated with databases in this list. The CA too has an Advanced view, which uses a notebook to organize connection information by the following objects:
DB2 comes with a set of Wizards and Advisors to succor you with day-to-day tasks. Wizards can live very useful to both novice and expert DB2 users. Wizards succor you complete specific tasks by taking you through each job one step at a time and recommending settings where applicable. Wizards are available through both the Control seat and the Configuration Assistant.
There are wizards for adding a database to your system, creating a database, backing up and restoring a database, creating tables, creating table spaces, configuring two-phase consign environments, configuring database logging, updating your documentation, setting up a High-Availability cataclysm Recovery (HADR) pair, tuning your performance, and more.
Figure 1-21 shows a portion of the Create Database wizard in DB2 9.
Advisors are special types of wizards that attain more than provide assistance in completing a task. Traditional wizards capture you step-by-step through a task, simplifying the sustain by asking Important questions or generating the involved command syntax for the action you want to perform. When a wizard has more intelligence than just job completion and can tender advisory-type functions, DB2 calls them advisors. They operate just dote wizards but are smart enough (having some pretty involved algorithms) to generate recommendation based on input factors such as workload or statistics. Advisors succor you with more involved activities, such as tuning tasks, by gathering information and recommending options that you may not Have considered. You can then accept or reject the advisor's advice. You can convoke advisors from context menus in the DB2 administration tools, from APIs, and the command-line interface.
Advisors are fragment of the IBM autonomic computing effort, which aims to result software and hardware more SMART (self-managing and resource tuning). There are three main advisors in DB2 9: the DB2 Configuration Advisor, the DB2 Recommendation Advisor, and the DB2 Design Advisor.
The DB2 Configuration Advisor is automatically race for you whenever you create a fresh database in DB2 9. It can configure up to 35 instance-level and database-level parameters for you based on responses to high-level questions that report the data server environment and nature of application you scheme to support.
The DB2 Recommendation Advisor, as previously mentioned, is closely associated with the DB2 Health seat and is used to tender solutions to raised alerts and tocsin breeches in this facility.
The DB2 Design Advisor is used to identify objects such as materialized query tables (MQTs), multidimensional clustering tables (MDCs), indexes, and partitioning keys that could optimize a given SQL workload. The DB2 Design Advisor can too identify indexes that aren't needed as well (shown in motif 1-22).
When using this advisor it's Important to note that the suggestions it provides are based on a submitted workload. If you've left out significant portions of a workload, the respond will not reflect the impact of the missing workload. In addition, the DB2 Design Advisor gives you the ability to heavily weight SQL statements in a submitted workload over others, giving you more control with respect to how the DB2 Design Advisor will recommend the creation of performance objects with respect to your actual workload characteristics.The DB2 Command Line Processor
The DB2 Command Line Processor (DB2 CLP) is a component common to full DB2 products. It is a text-based application that can live used to issue interactive SQL statements or DB2 commands. For example, you can create a database, catalog a database, and issue dynamic SQL statements full from the DB2 CLP. Your DB2 statements and commands can too live placed in a file and executed in a batch environment, or they can live entered in interactive mode.
Figure 1-23 shows an sample of using the DB2 CLP to enter DB2 commands. The DB2 CLP operates in an "interactive" mode and therefore does not require the db2 prefix associated with entering DB2 commands.
The DB2 CLP is provided with full DB2 and DB2 Connect products. full SQL statements issued from the DB2 CLP are dynamically prepared and executed on the data server. The output, or result, of the SQL query is displayed on the screen by default. full of the DB2 commands that you can enter in the DB2 CLP are documented in the DB2 Command Reference. You learn more about the DB2 CLP and how to enter DB2 commands from an operating system's endemic CLP in Chapter 2.Visual Explain
Other graphical tools can live used for tuning or monitoring performance. Visual clarify is a graphical utility that provides a visual representation of the access scheme that DB2 uses to execute an SQL statement.
Visual clarify can live invoked from the Control Center, the DB2 CLP (though the output in textual and not graphical), the DB2 DWB, or from the Command Editor.
Figure 1-24 shows the nature of information that is displayed. You can observe that the query is accessing two tables and an approximation of the cost of each step of this query is too provided in the Visual clarify output. The estimated query costs picture the complexity and resource usage expected for a given SQL query. There are many more details and features provided in Visual clarify under the Statement menu option.
Figure 1-24 Using Visual clarify to glance at how your query is race by DB2DB2 Query Patroller
DB2 Query Patroller (DB2 QP) is an add-on product that can live used to control and monitor query execution, as well as toil with queries to prioritize and schedule user queries based on user profiles and cost analysis performed on each query. big queries can live rescue on hold and scheduled for a later time during off-peak hours. Queries with tall priority (based on user profiles) are promoted to the top of the schedule.
In addition, DB2 QP monitors resource utilization statistics. DB2 QP can exhaust this information to determine the load distribution of the system, which can allow it to equipoise the number of users allowed to submit queries at any given time.
DB2 QP greatly improves the scalability of a data warehouse by allowing hundreds of users to safely submit queries on multi-terabyte class data servers. Its components span the distributed environment to better manage and control full aspects of query submission. The services provided by this product act as an agent on behalf of the End user. It prioritizes and schedules queries so that query completion is more predictable and system resources are more efficiently utilized. DB2 QP obtains query costs from the DB2 Optimizer and then schedules them for execution—this means that DB2 QP is tightly integrated with DB2 engine.
DB2 QP can too live used to set individual user and user class priorities as well as user query limits. This enables the data warehouse to deliver the needed results to its most Important users as quickly as possible. If desired, an End user can select to receive notice of scheduled query completion through e-mail.
Finally, as discussed earlier in this chapter, DB2 QP offers the ability to discharge imbue back for data server usage to specific departments identified by accounting strings on the connection context. For example, if marketing is using the data warehouse three times more than accounting, they should pay three times the imbue back. In motif 1-25, you can observe one of many canned reports that foster with DB2 QP. This one shows the number of statements race by month. You can drill down into this view to the minute and second interval, as well as access a host of other reports such as middling execution time, middling wait time, middling queue time, and more.
Figure 1-25 Performing imbue back with DB2 Query PatrollerDatabase Monitoring Tools
The Snapshot Monitor captures database information at specific intervals. The interval time and data represented in the performance graph can live configured. The Snapshot Monitor can succor resolve performance problems, tune SQL statements, and identify exception conditions based on limits or thresholds.
The Event Monitor captures database activity events as defined by the event monitor definition. Event Monitor records are usually stored on disk and then analyzed after the data has been captured. The Event Analyzer graphical instrument provided with DB2 can live used to resolve the captured data.
The Activity Monitor succor you improve the efficiency of database performance monitoring, problem determination, and resolution. By tracking a set of predefined monitor data, the Activity Monitor allows you to quickly locate the occasions of a problem. You can then capture direct action to resolve the problem or invoke another instrument for further investigation. The Activity Monitor can succor you monitor application performance, application concurrency, resource consumption, and SQL statement usage. It can too assist you in diagnosing performance problems such as lock waiting situations (as shown in motif 1-26), and in tuning queries for optimal utilization of the data server's resources.
Figure 1-26 Using the Activity Monitor to diagnose a lock waiting problemThe DB2 Storage Management Tool
The DB2 Storage Management instrument can live used to monitor the storage situation of a database. You can exhaust this facility to capture storage snapshots for a database or a table space. When a database or snapshot is taken, statistical information is collected for full the table spaces defined in the given database (you can too snapshot at the table space level).
The Storage Management instrument enables you to set thresholds for data skew, space usage, and index cluster ratio. If a target expostulate exceeds a specified threshold, the icons beside the expostulate and its parent expostulate in the Storage Management view are marked with a warning flag or an tocsin flag—similar to the DB2 Health Center.
You can observe in motif 1-27 that the SYSCATSPACE table space is running out of space as it's 98 percent used.
Figure 1-27 Using the DB2 tools to manage storage activityThe DB2 Aftermarket Tools
There are two kinds of tools for DB2: those that are free and those that are add-ons that can live purchased separately. The free tools foster as fragment of a DB2 installation and can live launched from the Control Center, the Configuration Assistant, or on their own. A sunder set of purchasable tools are available to succor ease a DBA's job of managing and recovering data, tuning performance, and more. The DB2 suite of these tools includes (www-306.ibm.com/software/data/tools/mptools.html):
IBM Data Science sustain provides an environment that brings together full of a data scientist’s tools into one location. It includes the most Popular Open Source tools and IBM value-add functionality with integration of community and companionable features to result data scientists more successful.
A wide variety of cloud data sources are easily connected to DSX, or a user could upload data from DB2 on z/OS (by creating a copy) into the environment. However, the ability to access to data in-place on the system of record, has worthy appeal.
In this guide, I will profile the steps needed to configure DSX to access an on-prem DB2 for z/OS database using JDBC and provide the ability to utilize RStudio to discharge advanced analytics operations on this data.
Here is an profile of the steps they will travel through in the steer to set up the DSX environment for DB2 for z/OS connectivity:
(Note: The screenshots in this tutorial are from a Mac OSX environment running Firefox. If you are running from Windows or Linux, there may some differences in the appearance of the endemic dialogs and browser interfaces.)
Once setup with your account, click on the DSX Logo at the top of your screen, and this will capture you to the main Community page. Once there, if you click the far left drop-down menu, you will observe your project options, including RStudio. Click on the the RStudio option, and this will open up your RStudio instance.
If you Have opened DSX RStudio before, the instance opened will Have retained any history or enviroment settings that you had saved/autosaved from before. If you are intimate with RStudio and Have used a endemic version of RStudio on Windows/Mac OSX, it will glance exactly the same. The only dissimilarity is that the underlying infrastucture is running in a Bluemix virtual machine. There is limited access to the underlying operating system, but they can access the filesystem to upload the JDBC driver and license file and configure the connection for DB2 for z/OS.
The RStudio interface should glance similar to what is shown below……
(For a complete steer to using RStudio, tickle observe the documentation linked to in the ‘Help’ Section)
Next, they will substantiate that the remedy packages are installed/loaded that enable JDBC access to their on-prem database.
In the bottom privilege panel of the RStudio desktop you will observe the ‘Packages’ tab, and within that is an ‘Install’ tab. If you click “Install”, you will collect a dialog box that allows you to load the required packages from the CRAN repo. You will need to install ‘RJDBC’. If the ‘Install dependencies’ box is checked, you will too live installing ‘rJava’ and ‘DBI’ (which load automatically). Once you install these packages, you should observe them in the User Library. If they are unchecked, tickle check them, and they will live enabled in the environment.
Next, they will need to upload the preempt DB2 for z/OS data server driver .jar files to the DSX environment. The files they will need are: db2jcc.jar and db2jcc_license_cisuz.jar
If you already Have a licensed version of DB2 Connect installed, these driver files are already available on one of your existing client environment setups. ask your DB2 system administrator for the location of these files in your client environment.
This steer is based on DB2Connect Version 11.1 for Linux, Unix and Windows (client) and DB2 for z/OS Unlimited Edition (server). If you are not currently licensed for DB2Connect, observe the Appendix at the End of this steer for instructions on how to obtain the remedy data server drivers and license files that are required.
From the RStudio desktop (shown above), travel to the lower privilege panel again, to the “Files” section. Then, click “Upload” and you will collect a dialog box that allows you to browse your local file system to upload the driver files. For both db2jcc.jar and db2jcc_license_cisuz.jar, upload these to the current directory of your DSX/RStudio environment.Connecting to the z Server over TCPIP — Secure Gateway
With the JDBC driver files in place, they now need to configure access to the server which is running the DB2 for z/OS instance. The assumption for most IBM customers is that their target z server is running on a secure internal network, which is accessed externally through a VPN or from an internal private network access point. If this is the case, you will too need to set up a Bluemix Secure Gateway, that will allow the Bluemix/DSX cloud app to access your z server through a firewall, using the very VPN/internal network acces point that you exhaust for other client connections from a desktop.
For more general information on Bluemix Secure Gateways, tickle travel to: https://console.ng.bluemix.net/docs/services/SecureGateway/secure_gateway.html
If you attain not need to configure a Secure Gateway, you can skip to the “Connecting to DB2/zOS with JDBC” section.
To configure the secure gateway, tickle travel to https://console.ng.bluemix.net/dashboard/services/, log in to Bluemix with the very credentials you are using for DSX, and then exhaust the drop-down menu on the left to travel to the ‘Services’ and then ‘Dashboard’ menu.
Once within the Services dashboard, click the “Create Service +” button.
Next, they will travel to “Integrate” and then select the “Secure Gateway” service from the menu.
Leave the service “Unbound” and click “Create”.
And, then “+ Add Gateway’
Choose a cognomen for your gateway, uncheck both of the boxes listed, and then click “Add Gateway”.
Now, they can setup the destination details, and the client. Click on the gateway.
Then click on “+ Add Destination”.
Choose “On-Premises” and click Next.
On the next screen add your host name/IP , and the DB Port of your DB2z Subsystem. Click ‘Next’
Then, select TCP protocol on the next screen, and click “Next” again.
The next screen setting is related to server side authentication. If you typically connect with just a user and password, then select “None”. If you are not confident whether or not your server requires additional authentication, ask your System Administrator, and you can change this later. Click ‘Next’.
You can skip over the next setting, unless you want to privatize the IP address and port or your connection. Click ‘Next’.
To complete the destination settings for the back-end server, they just need to give a cognomen for their connection. select a cognomen for your destination that describes the DB2 Subsystem you are connecting to, and then click “Finish”.
Now let’s install the client for their secure gateway. select “+ Add Clients”
Choose your preferred fashion of hosting the gateway client. For this demonstration, they will live using IBM Installer — Mac OSX version on a laptop that has a VPN connection to access an on-prem z server. The details for different OS installs and Using Docker or IBM DataPower are covered in detail in the online instructions. For specific install details, observe the “Bluemix Documentation” link.
At this time, copy the Gateway ID, for input later into the gateway client command-line interface.
After Downloading the client, double-clicking the image, you might Have to travel to your ‘Finder’ to observe the mount point for the image.
Click on the mount-point and then drag the ‘ibm’ folder into the Applications Folder.
Now, they can travel into the ‘IBM’ folder within Applicatons, and double-click to race the segw.command to open the CLI for the gateway.
Enter the gateway ID you copied earlier, and then enter ‘none’ for the security token.
Next, note the web address of the gateway interface — localhost:9003/dashboard Enter that web address in your web browser.
Below, they observe the gateway web UI. You can observe full the details of your secure gateway from this interface. There is one more setting, for the access control list. tickle click “Access Control List”, and then enter your destination hostname/IP and port once again.
Below, once you Have added the host/IP and port, you can near the browser window, or minimize it.
We are almost done. The Secure Gateway config is complete.
Now they will return to the main Secure Gateway dashboard to copy the cloud hostname/port for the gateway. It will live used for the JDBC connection string in DSX/RStudio. From the Services Dashboard, click on the gateway you created.
On this screen, click on the ‘settings gear’ of the destination server connection details. A dialog box will open.
Copy the ‘Cloud Host : Port’ address to exhaust in your JDBC connection in DSX/RStudio.
Return to the RStudio desktop, and they can setup the JDBC driver and race a query.Connecting to DB2/zOS with JDBC
In the RStudio desktop, they are now ready to enter the JDBC commands at the console prompt to setup the connection to their DB2 for z/OS database. result confident the RJDBC, DBI, and rJava packages Have loaded.
Also, at this time, result confident you are running any VPN connection that is normally required to access your backend system from a desktop client.
Enter the following commands in the RStudio console, noting the results you collect for the classpath display:
.jinit() .jclassPath() .jaddClassPath("/home/rstudio/db2jcc_license_cisuz.jar") .jclassPath() drv <- JDBC("com.ibm.db2.jcc.DB2Driver","/home <br> /rstudio/db2jcc.jar") .jclassPath()
(* note the addition of the license file….its position in the classpath is Important *)
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