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1Z0-054 Oracle Database 11g Performance Tuning

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1Z0-054 exam Dumps Source : Oracle Database 11g Performance Tuning

Test Code : 1Z0-054
Test denomination : Oracle Database 11g Performance Tuning
Vendor denomination : Oracle
: 192 true Questions

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Oracle Oracle Database 11g Performance

Asia's companies understand The power Of Oracle self sufficient Database | killexams.com true Questions and Pass4sure dumps

SINGAPORE: Oracle OpenWorld Singapore - An increasing number of businesses in Asia are turning to Oracle self sufficient Database - the trade's first self-using, self-securing, self-repairing database - to gain deeper and more significant facts insight, faster than ever earlier than.Eleven such firms will present off the cost being won during Oracle OpenWorld Singapore this week, including the likes of China eastern, Fadada, Bitmain and Kingold from China, Vodafone Fiji, Hong Kong Maxim's community, countrywide Pharmacies and utilized Precision medication from Australia, Forth sensible and Rangsit institution from Thailand and others.

Oracle independent Database makes consume of ground-breaking computing device learning and automation to set up, optimize, patch and cozy itself with no human intervention, bringing new tiers of performance, safety, and effectivity. consequently clients absorb proven that they're able to drastically enrich and quickly-tune enterprise decisions, enhance their customer experience, insert new items/services to market sooner and create a better carcass of workers.

Steve Daheb, Senior vice president, Oracle Cloud, pointed out: Oracle self sustaining Database is likely one of the most a success new product introductions in Oracle's forty-year historical past. these days they are seeing users across the globe realising the improvement of self reliant. Already, they now absorb practically 1,000 paying self reliant Database valued clientele and round 4,000 new self sufficient Database trials were brought in the eventual quarter on my own. This momentum confirms that the self reliant Database has arrived at an standard time for their purchasers, when information is transforming into at a nearly immeasurable cost and they want a brand new artery of managing, securing and getting cost from statistics. There are some splendid examples of agencies the usage of it here in Asia to slit back charges and chance, automate core initiatives so as to focal point on innovation, and to empower everyone areas of the trade from finance, to advertising and HR to gain optimum value and insight from their facts.

Sharing their studies at Oracle OpenWorld Singapore are:

Pawarit Ruengsuksilp, enterprise building Analyst, Forth smart, talked about, the consume of Oracle autonomous data Warehouse has been a complete video game-changer for us. operating over a hundred and twenty,000 merchandising machines nationwide to provide their customers the skill to attain things enjoy good-up their cell phones and e-wallets and switch cash to chums and family unit, their company generates a lot of transactional information - around 2 million transactions per day. Now, with self sufficient Database, they are capable of generate real-time perception into their network of vending machines, whereas prior to now this might absorb taken us 2-three days. This has had a stupendous influence throughout their economic reporting, faculty to undertake advanced segmentation and predictive analytics, allowing us to focus more of their efforts on innovation.

Louis Mah, Director, counsel expertise, Hong Kong Maxim's community, referred to: operating over 70 manufacturers in Hong Kong and Macau areas, Mainland China and South East Asia throughout more than 1,300 shops in an trade as fast-paced because the meals business, they deserve to abide on-top of their online game. information is vital to helping us attain that, but with more than 600,000 transactions information per day in Hong Kong on my own it's challenging for us. the usage of a compund of self reliant statistics Warehouse and Oracle Analytics Cloud, combined with aspect from their ERP techniques, they can now gain extraordinarily timely and useful suggestions involving buyer habits and behaviour, and abruptly reconcile to changes in how their diverse eating places are performing. here's basic, peculiarly as they appear to breathe to expand into Mainland China and additional into South East Asia.

Ryan Klose, government widespread manager - company, country wide Pharmacies, spoke of, today delighting clients and offering a personalized journey is everything. So they want the holy grail of getting records centralised across the patient. this could back ensure they absorb the right items on shelves and that once health practitioners talk to sufferers they've the latest and finished suggestions, can breathe a allotment of the dots and execute informed decisions. but that is difficult. historically, backend methods throughout the heathcare trade are legacy and absorb confined information sharing, regularly designed purely to transact the sustain at the moment. additionally, we're speaking significant statistics volumes - they fulfill four million clinical prescriptions lonesome each and every year, and that's the judgement without other assistance related to items, and even exterior components corresponding to weather. What having access to the vigour of self sustaining database capacity is that they may give us true time insight, securely and at velocity, and that's the judgement transformative.

Steve Chang, CIO, Kingold, pointed out, by using independent facts Warehouse and Oracle Analytics Cloud they now absorb been in a position to completely seriously change the style they function. they absorb been able to fully streamline how they bring together advice. prior to now for profound market insight they might absorb been heavily reliant on buying in high priced stories from third events. Now, they are in a position to attain lots of the analysis and analysis ourselves. The output is additionally truly helping their sales teams develop into facts driven and determine which homes to goal the preempt valued clientele, in status of the usage of their instinct to execute decisions.

Hwee-Xian Tan, Senior Analyst, SoHo and SME research, They proceed to peer Asia-Pacific organisations opening up to and having a sharper urge for food for database-as-a-service (DBaaS) propositions with AI and ML points being peculiarly potent drivers for trade migration to cloud-based mostly database environments. here is because of the cost savings they convey, and their potential to derive new company insights at velocity. This has the abilities to shift the global cloud hands race amongst hyperscale cloud gamers towards those that absorb a tenacious play in controlling enterprise databases - most of which nevertheless live in a legacy clientserver infrastructure.

Oracle Cloud Platform provides New tiers of performance, Availability, and access for Oracle Database functions | killexams.com true Questions and Pass4sure dumps

REDWOOD SHORES, Calif., can too 9, 2017 /PRNewswire/ -- continuing its Oracle Cloud Platform innovation, Oracle today introduced predominant enhancements that execute it less demanding for businesses to movement enterprise database applications to the cloud. Oracle now offers Oracle right application Clusters (RAC), Oracle FastConnect private networking capabilities, and Microsoft windows Server assist for Oracle's exorbitant performance subsequent technology IaaS. These offerings permit a brand new latitude of valued clientele to set up and access Oracle Database applications in the cloud with efficiency and availability on par or exceeding on-premises, and exhibit performance of up to 20 times quicker on benchmark tests in comparison with Oracle operating on a competitor's cloud.* 

Oracle is the most effectual cloud seller to provide shoppers with finished and totally attainable trade software environments in the cloud. With this announcement, Oracle is offering entertaining, built-in platform features to mid-sized and stupendous enterprises that don't absorb the capabilities or capital to hold similar programs on-premises. purchasers can now consume Oracle's next technology IaaS to deploy applications according to Microsoft windows, Oracle Linux, and other Linux distributions, and scale to hundreds of thousands of operations per 2nd, connect with Oracle RAC Databases on naked metal servers that assist a gross lot of hundreds of transactions per second, and consume Oracle FastConnect to connect these applications to on-premises networks at charges as exiguous as one-twentieth of a competitor's comparable offerings for top bandwidth clients.** customers can both consume everyone the services and pay an hourly can charge, or purchase a subscription for constant billing.

"commercial enterprise clients and ISVs absorb exorbitant expectations for performance and availability for his or her database purposes. at the equal time, they wish to retain tough-received adventure and most fulfilling practices, especially from on-premises deployments," said Kash Iftikhar, vice president of product administration, Oracle. "We introduced their subsequent technology IaaS to tackle everyone of these requirements. With these database, compute, and networking enhancements, Oracle Cloud Platform offers an entire, high performance reply for enterprise-critical database applications within the cloud."

Oracle eliminates Roadblocks, Frustration, and Guesswork for Infrastructure customers ICAT provides property insurance coverage to over 65,000 householders and businesses observed in storm- and earthquake-uncovered regions of the U.S..

"ICAT is in the catastrophe coverage business, so we're very delicate to risk and enterprise continuity. they absorb hasten their mission-critical on-line quoting software on-premises with Oracle Database for years, but maintaining with enterprise growth turned into a challenge," illustrious Mike Ferber, CIO, ICAT. "The Oracle Database Cloud carrier on bare metal surpassed their efficiency requirements and made a circulation to the Oracle Cloud possible. The potential to rapidly scale up processing power, in addition to leverage Oracle RAC within the cloud, gives us splendid self assurance that they should breathe in a position to proffer their purchasers the sustain and reliability integral with their new cloud-based mostly gadget."

Darling elements Inc. is a global leader in organic constituents and zone of expertise products for clients in the pharmaceutical, meals, pet meals, feed, and other industries.

"Darling components has had an aggressive blueprint to circulate everyone of their key IT applications into the cloud. they absorb a number of indispensable Oracle and non-Oracle purposes, many of which depend on Oracle Database," stated Tom Morgan, Oracle Apps DBA manager at Darling parts. "Oracle Database Cloud features on naked metal met their stringent efficiency requirements. Having predictable, exorbitant bandwidth connectivity to their halt users is vital, and Oracle FastConnect became a very excellent solution."

Penn state college's Institute for CyberScience (ICS) gives exorbitant performance Computing (HPC) materials and capabilities to the analysis community, each inside and exterior to the tuition via its advanced CyberInfrastructure (ICS-ACI).

"HPC is typically the most worrying workload from a CPU, storage, and networking standpoint," illustrious Chuck Gilbert, Technical Director and Chief Architect for superior Cyberinfrastructure at Penn state university. "Oracle Cloud Platform, with its naked steel Cloud Compute carrier, changed into their option for HPC, equaling their on-premises resources and assembly their performance necessities. The addition of Oracle FastConnect allows their shoppers to movement large amounts of statistics in and out of the cloud securely and continually. We're leveraging Oracle Cloud to allay their exponentially transforming into claim for HPC initiatives, and back researchers gain substances and consequences sooner. with the aid of leveraging a Hybrid Cloud Bursting model, ICS-ACI might breathe in a position to service everyone workload calls for from their researchers above and beyond current on premises capacities."

Oracle Enhances Oracle Cloud Platform capabilities

Oracle Cloud Platform offers the broadest gain of built-in functions to enable consumers of any dimension and at any fee factor to quite simply increase, examine, and securely and cost-easily deploy their business-crucial functions in the cloud. Oracle Cloud Platform's next era IaaS capabilities had been extended to include:

  • assist for 2-node Oracle RAC on naked steel compute, proposing proven, interminable database availability through failures or software preservation. Two-node RAC can scale on-demand from 4-72 OCPUs, with 1TB of RAM and 24TB of storage.
  • Oracle FastConnect on next era IaaS can provide purchasers an on-demand private network connection that presents bendy bandwidth alternate options (increments of 1Gb or 10Gb), can scale up and down with their company wants, and might breathe provisioned in minutes by the consume of console and API. existing global companion providers are Equinix and Megaport.
  • aid for Microsoft home windows Server on both 1, 2, four, eight, sixteen-OCPU virtual desktop compute and three 36-OCPU bare metallic compute shapes offers users various compute, memory, and storage supplies, with photograph portability throughout instance varieties, everyone on the identical, exorbitant efficiency virtual cloud network.
  • aid for CentOS, RHEL, and Ubuntu, which along with Oracle Linux and Microsoft home windows Server distributions covers the immense majority of trade working methods.
  • About Oracle

    The Oracle Cloud can provide hundreds of SaaS purposes and enterprise-class PaaS and IaaS functions to shoppers in additional than 195 nations while processing fifty five billion transactions a day. For extra advice about Oracle (NYSE: ORCL), delight visit us at http://cloud.oracle.com.


    Oracle and Java are registered emblems of Oracle and/or its associates. other names can breathe emblems of their respective homeowners.

    *performance compares internal benchmarks of Oracle RAC on Oracle Database Cloud provider on naked metal versus Oracle Database 12.1 on Amazon net services M4.10xlarge EBS optimized instances (www.oracle.com/company/pressrelease/database-benchmarking-092016.html and doctors.aws.amazon.com/AWSEC2/latest/UserGuide/EBSOptimized.html).

    **fee compares Oracle FastConnect versus Microsoft Azure express Route in high bandwidth situation (10 Gbps, 500 TB/month) (https://cloud.oracle.com/bare-metal-network/pricing and azure.microsoft.com/en-us/pricing/details/expressroute/).

    source Oracle

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    Oracle Database 11g: SQL efficiency Analyzer, half 2 | killexams.com true Questions and Pass4sure dumps

    Synopsis. Oracle Database 11g liberate 1 (11gR1) facets the brand new SQL performance Analyzer that guarantees to ease tremendously the workload of sedulous Oracle DBAs since it provides a artery to accurately consider comprehensive database workloads for “before versus after” performance alterations. this text – the subsequent in a sequence on new Oracle Database 11g SQL performance improvement elements – discusses a artery to consume the SQL performance Analyzer to evaluate a SQL workload generated from an Oracle 10gR2 database to solemnize scholarship efficiency concerns for that workload if it absorb been done within an Oracle 11g database equipment.

    The outdated article in this sequence illustrated the fundamentals of the consume of Oracle Database 11g’s new SQL efficiency Analyzer (SPA) tool to:

  • capture a SQL workload
  • record that workload’s performance in opposition t the present database configuration before alterations were made to that configuration
  • checklist that identical workload’s performance after the database configuration alterations had been carried out
  • evaluate the performance of that workload earlier than and after the adjustments had been made
  • in this article, I’ll exhibit how the SQL efficiency Analyzer can analyze greater advanced Oracle ambiance changes – peculiarly, the upgrade of the can charge-based mostly optimizer (CBO) between Oracle database releases -- and i’ll expose the artery to switch a SQL workload generated from an Oracle 10gR2 database to an Oracle 11gR1 database. moreover, in view that I concentrated on the PL/SQL interface to measure SQL workload efficiency in the closing article, I’ll focal point on using Oracle 11g’s commercial enterprise supervisor (EM) Database control interface for the SQL performance Analyzer to present how effortless it's to analyze a SQL workload with a number of mouse clicks.

    SQL efficiency evaluation situation: Simulating an Optimizer upgrade

    1.) Put together for Simulation. I’ve constructed an Oracle 10gR2 database named DB10G the usage of the general “seed” database within an Oracle 10gR2 home. To elevate forward the similar specimen from the traditional article, I then developed the, SH.SALES_AGENTS table on that database, loaded it with the identical pattern set of about 420,000 rows, after which constructed the identical 5 indexes towards that desk. I used the identical DDL that I offered in listing 1.1 for the outdated article to achieve this, and i utilized the identical DML statements (LoadSalesAgents.sql) to operate an initial load of this table.

    2.) prepare for SQL Workload Gathering. next, I’ll create a SQL Workload on the DB10G database. I’ll consume the identical SQL statements that entry the SH.SALES_AGENTS desk that I used within the outdated article, together with a few additional SQL statements that’ll entry some of the other demo schema tables. The statements that incorporate this SQL workload are shown in GenerateSQLWorkload.sql. note that the closing 4 SQL statements – the ones tagged as LDGN four.1 via LDGN 4.4 - execute consume of older optimizer tips that are nevertheless attainable in Oracle 9i however not thoroughly supported in Oracle 10g. I’ll consume these statements to present how the SQL efficiency Analyzer can simulate performance the usage of can charge-primarily based optimizer settings from different older Oracle database environments. The code shown in list 2.1 captures these SQL statements right into a SQL Tuning Set named STS_SPA_200.

    three.) Stage and Export SQL Tuning Set. Now that I’ve achieved the SQL workload and absorb gathered the resulting statistics into the STS_SPA_200 SQL Tuning Set, I’ll switch that workload and its corresponding execution statistics to my Oracle 11gR1 database. I’ll try this via growing staging tables to cling that counsel, transferring the SQL workload and its efficiency assistance into that desk, after which transporting these records to the targeted Oracle 11g database. listing 2.2 suggests how I captured (or “packed”) the SQL Tuning Set into staging tables with the DBMS_SQLTUNE.PACK_STGTAB_SQLSET technique. I then used Oracle DataPump to export these staging tables right into a DataPump Export dumpset named DumpStagingTable.dmp.

    4.) Import, unpack, and Put together SQL Tuning Set for test execution. After copying the DataPump dump set into the default DataPump directory for my Oracle 11g database, I’ll necessity to switch the guidance contained in the staging tables for the SQL Tuning Set into my Oracle 11g goal database for evaluation. list 2.three illustrates how I imported the staging tables from Oracle 10gR2 into the target Oracle 11gR1 database the usage of Oracle DataPump Import and an acceptable parameter file. I then used the DBMS_SQLTUNE.UNPACK_STGTAB_SQLSET manner to “unpack” the SQL Workload saved in those staging tables into my goal Oracle 11gR1 database.

    5.) Simulate an Optimizer upgrade From to Now that my preparations are completed, I’m able to flip the SQL efficiency Analyzer unfastened to let it find any substantial performance influences on the SQL statements within the imported SQL Workload if it had been accomplished in opposition t the goal Oracle 11gR1 database. I’ll consume the Oracle Database 11g’s commercial enterprise supervisor Database control interface to operate this analysis. device 2.1 indicates the initial state of the SQL performance Analyzer panel.

    figure 2.1. SQL performance Analyzer home Panel

    when I select the Optimizer ameliorate Simulation hyperlink from this panel, enterprise supervisor presents the Optimizer ameliorate Simulation panel. As shown in device 2.2, I’ve special a stint denomination of SPA_OUS_100, SYS.STS_SPA_200 as the SQL Tuning Set, and a short description of the project. breathe alert that for this project, I’ve unique the “before” and “after” optimizer versions as and, respectively.

    determine 2.2. developing an Optimizer ameliorate Simulation task

    as soon as I’ve clicked on publish, manage returns to the SQL performance Analyzer home panel, and the job that I’ve submitted ultimately suggests it has accomplished (see device 2.3 under).

    determine 2.3. a success execution of SQL performance Analyzer stint SPA_OUS_100

    To view the completed assignment, I without problems click on on the project denomination link, after which commercial enterprise supervisor items a abstract of the a hit project execution as proven below in determine 2.4:

    determine 2.four. SQL efficiency Analyzer assignment SPA_OUS_100 Execution particulars

    to peer the details of the preliminary hasten of this task, I’ll click on the corresponding “eyeglasses” icon under the comparison document column close the bottom of this panel, and this displays the outcomes proven in determine 2.5.1:

    figure 2.5.1. consequences of Elapsed Time assessment

    at last, some entertaining effects – and typically respectable information! The SQL efficiency Analyzer shows that it believes there should breathe at least some growth in execution time – or at the least, no degradation in execution time - for everyone 12 SQL statements if they absorb been accomplished in an Oracle 11gR1 database atmosphere. youngsters, I’m no longer convinced with only evaluating execution instances; I too want to understand more in regards to the change to any of the execution plans. therefore, I reran the identical targeted evaluation, but this time I in comparison the estimated adjustments in optimizer prices as neatly. determine 2.5.2 and device 2.5.three talk for themselves: notwithstanding there are some relatively obvious improvements in execution time, only one commentary had any giant improvements in optimizer can charge,

    determine 2.5.2. Elapsed Time evaluation particulars inside SQL commentary

    determine 2.5.3. Optimizer saturate evaluation particulars within SQL remark

    6.) Simulate an Optimizer ameliorate From 9.2.0 to eleven.0.1. Out of curiosity, I’ve too experimented with using the identical SQL Tuning Set (STS_SPA_200) to simulate an ameliorate from the Oracle 9i optimizer to the Oracle 11g optimizer. to accomplish this, I’ve set up a different SQL performance Analyzer stint named SPA_OUS_200. This assignment is identical to SPA_OUS_100, except that I’ve chosen a “earlier than” optimizer setting of 9.2.0 as an alternative of A summary of the execution of this new simulated optimizer ameliorate project is proven in device 2.6, while device 2.7 suggests the results web page for that equal task:

    figure 2.6. SQL performance Analyzer project SPA_OUS_200 Execution

    figure 2.7. SQL efficiency Analyzer assignment SPA_OUS_100 effects

    Figures 2.eight.1, 2.8.2, and a pair of.eight.three demonstrate the consequences for just one of the SQL statements for which the optimizer upgrade simulation became carried out. solemnize that while the exact number of buffer gets and the number of rows processed for this remark haven’t changed in the least, Oracle 11g’s SQL efficiency Analyzer is apparently sensible satisfactory to challenge that the 9.2.0 optimizer cost (1001) would had been a exiguous bit bigger (995) if the commentary had been completed below the 11.1.0 optimizer. additionally, solemnize that the clarify blueprint for the two simulated executions had been a bit diverse for the identical SQL observation.

    determine 2.eight.1. SQL performance Analyzer assignment SPA_OUS_200 outcomes (remark 5pkmwau93fg58)

    figure 2.eight.2. “earlier than” account for blueprint results for remark 5pkmwau93fg58

    determine 2.8.three. “After” clarify blueprint results for remark 5pkmwau93fg58

    next Steps

    The third and ultimate article in this collection on Oracle 11g’s new SQL efficiency Analyzer device set will focus on a artery to consume this tool to overcome one of the crucial extra frustrating SQL efficiency tuning challenges: the touch of modified database initialization parameters upon SQL observation performance. I’ll additionally delve greater deeply into one of the SQL performance Analyzer’s reporting and analyses alternate options to gain a complete photo of what is inflicting a SQL observation to regress, and the artery this new device facilitates advent of SQL blueprint Baselines for SQL blueprint management.

    References and further analyzing

    while I’m hopeful that I’ve given you a radical grounding in the technical aspects of the points I’ve discussed in this article, I’m additionally unavoidable that there can breathe better documentation attainable because it’s been posted. I for this judgement strongly insinuate that you just buy an in depth appear to breathe on the corresponding Oracle documentation on these elements to obtain crystal-clear knowing earlier than trying to implement them in a construction environment. delight breathe alert that I’ve drawn upon right here Oracle Database 11gR1 documentation for the deeper technical details of this text:

    B28274-01 Oracle Database 11gR1 efficiency Tuning e-book

    B28279-02 Oracle Database 11gR1 New elements e book

    B28419-02 Oracle Database 11gR1 PL/SQL programs and kinds Reference

    » see everyone Articles by means of Columnist Jim Czuprynski

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    Oracle Database 11g Performance Tuning

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    Oracle Database 11gR2 I/O Performance Tuning: A Primer | killexams.com true questions and Pass4sure dumps

    Tuning the performance of Oracle Database 11gR2 is noiseless just as much of an know-how as it is a science. Jim Czuprynski focuses on the detection and analysis of performance bottlenecks within the database's underlying input/output (I/O) subsystem.

    Synopsis. Oracle 11g Release 2 (11gR2) continues the trend toward automated database performance tuning tools that started in Oracle 10g. However, tuning the performance of an Oracle 11gR2 database is noiseless just as much of an know-how as it is a science. This article - the first in this train - provides a primer that focuses on one of the most challenging arenas of database performance tuning: the detection and analysis of performance bottlenecks within the database's underlying input/output (I/O) subsystem.

    As a fledgling Oracle DBA many years ago, one of the first lessons I scholarly about database performance tuning was that there are only three potential types of bottlenecks to investigate whenever a database application performance issue rears its head:

    Memory. An Oracle database instance may simply not absorb enough recollection in the right places to execute everyone of the SQL statements issued against it, then the database is said to breathe memory-bound. For example, while there may breathe sufficient memory, it may absorb been seriously mis-allocated between the database's Shared Global zone (SGA) and Program Global zone (PGA). Another possibility is that the recollection components within the SGA itself absorb not been divided up properly, and the database buffer cache is significantly undersized for the workload being generated, or the library cache is oversized as compared to the number of SQL statements being issued.

    As of Oracle 11g Release 1 (11gR1), however, these recollection bottlenecks are easily detected through the automated diagnostic infrastructure that Automatic Database Diagnostic Monitor (ADDM) provides. Oracle 11gR1's Automatic recollection Management (AMM) feature can too breathe activated to detect and automatically adjust recollection allocations as the database instance's workload changes. Finally, if the Oracle DBA decides against using AMM, Oracle 11g Enterprise Manager (EM) provides several elegant GUI-based recollection tuning advisors that encompass the instance's complete recollection footprint (SGA + PGA) as well as individual advisors for the SGA, PGA, Database Buffer Cache, and the Library Cache; there are too SQL-based recollection advisors for the Streams Pool, large Pool, and Java Pool.

    CPU. A database application's SQL statements may breathe poorly written, or they may breathe unable to buy handicap of efficient execution plans because of missing optimizer statistics. SQL statements may too breathe efficiently written but may breathe heavily relative on complicated arithmetic computations or complicated set manipulation. In these cases, a database instance may quickly become CPU bound; in other words, there are simply not enough CPU cycles to complete the necessary calculations required to recrudesce a query's result set or to process DML statements.

    Fortunately, Oracle 11gR1 has already made it simpler than ever to detect, analyze, and resolve these types of "problem" SQL statements. ADDM, in concert with Automatic Workload Repository (AWR) snapshots and reports, are excellent at identifying the top SQL statements that are most degrading to the overall database instance's performance within any specific time frame or workload, and lively Session History (ASH) reports can analyze an application workload at an even deeper granularity. Oracle 11g's SQL Tuning Advisor and SQL Access Advisor respectively proffer specific tuning recommendations for individual SQL statements or even entire application workloads. Finally, Oracle 11g's SQL Performance Analyzer (SPA) and SQL blueprint Management (SPM) features can breathe used to execute performance regression analysis for application workloads and even "lock in" a known, better-performing execution blueprint when upgrading from a prior database version to 11g.

    I/O. In my experience, if a database application is experiencing extremely penniless performance, it's more likely to derive from the Oracle database instance being either significantly memory-bound or CPU-bound, so it makes sense that Oracle 11g's performance tuning tools are aimed primarily at those classes of root causes. However, it's too possible for a database instance to suffer from penniless I/O performance. A database thus becomes I/O bound when it cannot respond quickly enough to requests to either read data from and/or write data to the underlying I/O subsystem.

    Unlike CPU-bound or recollection bound systems, however, the identification, analysis, isolation, and eventual repair of the root causes for penniless I/O response time is significantly more rigor because of the complicated nature of today's storage platforms. So let me attempt to drag back the curtain on I/O performance tuning by explaining it from a completely different perspective: that of the storage administrator.

    Isolating the true Problem

    Here's the first stupendous surreptitious that storage administrators know intimately, but Oracle DBAs sometimes ignore, when tackling an I/O performance tuning issue: No database truly performs I/O directly and immediately against disk. In fact, even in the simplest case - say, a lone disk drive with a native installation of either the NTFS or EXT3 file system - disk I/O is always buffered in the cache recollection that's allotment of each individual disk's I/O controller.

    Expanding upon this extremely simple case, I/O performance issues can breathe much more difficult to accurately diagnose because of various factors, including:

  • the individual hasten (e.g. 10K, 15K) and resulting rotational latency of each drive
  • the number of physical spindles available within the disk array
  • the nature of RAID protection chosen (e.g. RAID-5) and the parity selected (e.g. 6+2, 7+1)
  • For mid-range and enterprise-level high-performance storage systems, other configuration options may insert additional complexity:

  • the number and capacity (i.e. bandwidth) of the incoming or "front end" I/O ports that funnel I/O to the storage platform's internal I/O controllers
  • the number, capacity, and hasten of the I/O controllers themselves
  • the number and capacity of the outgoing or "back end" I/O ports that accept the I/O from the storage platform's internal I/O controllers and route that output to the actual disk drives
  • finally, if the storage subsystem should proffer it, the amount of internal cache memory
  • Application Workload I/O Profiles

    If the potential complexity of the I/O subsystem doesn't execute an Oracle DBA's head spin, here's another factor: I/O performance tuning is often compounded by mixed database application workloads. Only a few years back, Oracle recommended that database application workloads should breathe isolated at the database flat - for example, by creating divide OLTP and DSS databases, each with their own set of storage - and that was certainly helpful when attempting to seclude an I/O performance problem.

    In the eventual few years, however, the theatrical increase in the maturity of Oracle true Application Cluster (RAC) database software in Oracle Release 10g has made it simpler than ever to deploy RAC database environments in a matter of hours. Oracle RAC certainly adds to the stability and consistency of database applications because the loss of one node or instance no longer means that the Oracle database is completely unavailable. The addition of RAC database services in Oracle 10g too meant it was easier than ever to control and serve up sufficient bandwidth for multiple applications against a lone RAC database, but this too means that it's not uncommon today to encounter a lone RAC database that's servicing multiple application workloads with dramatically different I/O performance profiles.

    The excellent news is that there are only four basic types of I/O performance profiles that any Oracle DBA necessity breathe concerned about:

  • Random reads (RR) are establish predominantly within OLTP application workloads. Random reads typically occur when a query requests a diminutive number of blocks, usually as the result of an indexed search that is concentrated on a diminutive set of unique values. For example, if an order entry application needs to locate a specific customer's ordering profile, only a very few blocks - perhaps less than 10 - might necessity to breathe retrieved into the database's buffer cache.
  • Likewise, random writes (RW) are establish predominantly within OLTP application workloads as well. Continuing the specimen above, if the application needs to update a customer's profile, status a new order for that customer, add some new line items to an existing order, or update the customer's paid balance, only a very few blocks will necessity to breathe retrieved, dirtied, and then eventually written back to disk when the Database Writer (DBWn) background process flushes those blocks back to disk.
  • Sequential reads (SR), on the other hand, typically occur when a query is executed and that query needs to recrudesce a large result set, especially when a table scan is required to reply the query, or if a posthaste replete index scan is needed for value retrieval or set operations. It's indispensable to remember, however, that sequential read I/O is triggered not only by large query operations; it too happens during index creation as the index column values are read, and when Recovery Manager (RMAN) is commanded to back up everyone the blocks in an Oracle datafile.
  • Finally, sequential writes are most common during batch update procedures, or during extraction, transformation and load (ETL) operations for a data warehouse. But other background operations are too sources of sequential write workloads, such as when Log Writer (LGWR) writes out redo entries to the database's online redo logs or when RMAN restores a database file from a backup source or writes out a backup piece to a backup set.
  • Here's the second stupendous surreptitious that their storage administrators keenly understand, sometimes better than even experienced Oracle DBAs: Ultimately, everyone I/O performance tuning revolves around determining what type(s) of application workload(s) the database is actually performing versus what workload the underlying storage has been configured to ply most of the time. So if the underlying storage platform on which the Oracle database's files exist has been tuned primarily for random read/write access, then sequential read/write application workloads (DSS) will most likely fulfill significantly worse than an OLTP workload; and vice versa, if the storage has been tuned for predominantly sequential read/write access (like a data warehouse), OLTP application workloads are more likely to encounter sedate I/O performance bottlenecks.

    Next Steps

    Enough theory! It's time to Put at least some of these concepts to work. The next article in this train will delve more deeply into how to:

  • create extra-database and intra-database I/O performance workloads
  • measure expected and actual I/O performance using established I/O monitoring tools
  • » see everyone Articles by Columnist Jim Czuprynski

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    Oracle launches Database 11g | killexams.com true questions and Pass4sure dumps

    Oracle has launched Oracle Database 11g, the next version of its main database platform.

    Oracle says a number of major customers absorb successfully completed the Oracle Database 11g beta programme to test out the enhancements to the platform. 

    The firms, which included Colgate-Palmolive, Fidelity National Information Services, PB (Parsons Brinckerhoff), and several members of the US Independent Oracle Users Group (IOUG), tested out the promised improved management, performance, scalability and security for themselves.

    Ari Kaplan, president of IOUG, said, “This latest product launch is based on strategic input from many IOUG members. They believe that this latest Oracle product will breathe successfully used by their community of enterprise customers.”

    Arthur Fleiss, IT architect at Colgate-Palmolive, said, “Three new features in Oracle Database 11g that really jump out are Automatic SQL Tuning, Partition Advisors, and true Application Testing.

    “These three things lonesome are judgement enough to upgrade. They ameliorate the reliability and performance of the database, yet attain not buy loads of the database administrator’s time to implement.”

    Oracle's press release >>

    EMC and Oracle expand collaboration plans >>

    SAP admits inappropriate downloading of Oracle files >>

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