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Oracle Oracle Database 11g Performance

Asia's companies understand The power Of Oracle self sufficient Database | Real 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 show 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 use 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 have proven that they're able to drastically enrich and quickly-tune enterprise decisions, enhance their customer experience, introduce new items/services to market sooner and create a better body 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 have practically 1,000 paying self reliant Database valued clientele and round 4,000 new self sufficient Database trials were brought in the last quarter on my own. This momentum confirms that the self reliant Database has arrived at an ideal time for their purchasers, when information is transforming into at a nearly immeasurable cost and they want a brand new way of managing, securing and getting cost from statistics. There are some splendid examples of agencies the usage of it here in Asia to cut back charges and chance, automate core initiatives so as to focal point on innovation, and to empower all areas of the business from finance, to advertising and HR to get 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 use 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 do things like 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 have taken us 2-three days. This has had a big influence throughout their economic reporting, ability 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 stay on-top of their online game. information is vital to helping us do 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 mixture of self reliant statistics Warehouse and Oracle Analytics Cloud, combined with aspect from their ERP techniques, they can now get extraordinarily timely and useful suggestions involving buyer habits and behaviour, and abruptly adapt to changes in how their diverse eating places are performing. here's basic, peculiarly as they seem to be 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 desire the holy grail of getting records centralised across the patient. this could support ensure they have the right items on shelves and that once health practitioners talk to sufferers they've the latest and finished suggestions, can be a part of the dots and make informed decisions. but that is difficult. historically, backend methods throughout the heathcare business are legacy and have confined information sharing, regularly designed purely to transact the experience at the moment. additionally, we're speaking significant statistics volumes - they fulfill four million clinical prescriptions alone each and every year, and that's the reason 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 real time insight, securely and at velocity, and that's the reason transformative.

Steve Chang, CIO, Kingold, pointed out, by using independent facts Warehouse and Oracle Analytics Cloud they now have been in a position to completely seriously change the style they function. they have been able to fully streamline how they bring together advice. prior to now for deep market insight they might have been heavily reliant on buying in high priced stories from third events. Now, they are in a position to do 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 appropriate valued clientele, in place of the usage of their instinct to make decisions.

Hwee-Xian Tan, Senior Analyst, SoHo and SME research, They proceed to look 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 business 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 have a strong 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 | Real Questions and Pass4sure dumps

REDWOOD SHORES, Calif., can also 9, 2017 /PRNewswire/ -- continuing its Oracle Cloud Platform innovation, Oracle today introduced predominant enhancements that make it less demanding for businesses to movement enterprise database applications to the cloud. Oracle now offers Oracle true application Clusters (RAC), Oracle FastConnect private networking capabilities, and Microsoft windows Server assist for Oracle's excessive 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 effective cloud seller to provide shoppers with finished and totally attainable business software environments in the cloud. With this announcement, Oracle is offering entertaining, built-in platform features to mid-sized and big enterprises that don't have the capabilities or capital to hold similar programs on-premises. purchasers can now use 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 whole lot of hundreds of transactions per second, and use Oracle FastConnect to connect these applications to on-premises networks at charges as little as one-twentieth of a competitor's comparable offerings for top bandwidth clients.** customers can both use all the services and pay an hourly can charge, or purchase a subscription for constant billing.

"commercial enterprise clients and ISVs have excessive 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 all of these requirements. With these database, compute, and networking enhancements, Oracle Cloud Platform offers an entire, high performance answer 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 have run their mission-critical on-line quoting software on-premises with Oracle Database for years, but maintaining with enterprise growth turned into a challenge," noted 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 be in a position to offer their purchasers the experience and reliability integral with their new cloud-based mostly gadget."

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

"Darling components has had an aggressive plan to circulate all of their key IT applications into the cloud. they have a number of important 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, excessive bandwidth connectivity to their end users is vital, and Oracle FastConnect became a very good solution."

Penn State college's Institute for CyberScience (ICS) gives excessive 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," noted 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 choice 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 help their exponentially transforming into demand for HPC initiatives, and support researchers get substances and consequences sooner. with the aid of leveraging a Hybrid Cloud Bursting model, ICS-ACI might be in a position to service all 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 range 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, continual 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 be provisioned in minutes by the use 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, all on the identical, excessive 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 business 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), please visit us at


    Oracle and Java are registered emblems of Oracle and/or its associates. other names can be 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 ( and

    **fee compares Oracle FastConnect versus Microsoft Azure express Route in high bandwidth situation (10 Gbps, 500 TB/month) ( and

    source Oracle

    linked hyperlinks

    Oracle Database 11g: SQL efficiency Analyzer, half 2 | Real 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 busy Oracle DBAs since it provides a way 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 way to use the SQL performance Analyzer to evaluate a SQL workload generated from an Oracle 10gR2 database to observe knowledge efficiency concerns for that workload if it have been done within an Oracle 11g database equipment.

    The outdated article in this sequence illustrated the fundamentals of the use 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 same 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 reveal the way 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 show how easy 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 example from the old 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 same 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 use the same 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 - make use of older optimizer tips that are nevertheless attainable in Oracle 9i however not thoroughly supported in Oracle 10g. I’ll use these statements to show 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 have 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 need 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 use the Oracle Database 11g’s commercial enterprise supervisor Database control interface to operate this analysis. figure 2.1 indicates the initial state of the SQL performance Analyzer panel.

    figure 2.1. SQL performance Analyzer home Panel

    when I choose the Optimizer improve Simulation hyperlink from this panel, enterprise supervisor presents the Optimizer improve Simulation panel. As shown in figure 2.2, I’ve special a task name of SPA_OUS_100, SYS.STS_SPA_200 as the SQL Tuning Set, and a short description of the project. be aware that for this project, I’ve unique the “before” and “after” optimizer versions as and, respectively.

    determine 2.2. developing an Optimizer improve 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 figure 2.3 under).

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

    To view the completed assignment, I without problems click on on the project name 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 run 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 be at least some growth in execution time – or at the least, no degradation in execution time - for all 12 SQL statements if they have been accomplished in an Oracle 11gR1 database atmosphere. youngsters, I’m no longer convinced with only evaluating execution instances; I also want to understand more in regards to the change to any of the execution plans. therefore, I reran the same targeted evaluation, but this time I in comparison the estimated adjustments in optimizer prices as neatly. determine 2.5.2 and figure 2.5.three speak for themselves: notwithstanding there are some relatively apparent 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 charge evaluation particulars within SQL remark

    6.) Simulate an Optimizer improve From 9.2.0 to eleven.0.1. Out of curiosity, I’ve also experimented with using the identical SQL Tuning Set (STS_SPA_200) to simulate an improve from the Oracle 9i optimizer to the Oracle 11g optimizer. to accomplish this, I’ve set up a different SQL performance Analyzer task 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 improve project is proven in figure 2.6, while figure 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. observe 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 little bit bigger (995) if the commentary had been completed below the 11.1.0 optimizer. additionally, observe that the clarify PLAN 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” explain PLAN results for remark 5pkmwau93fg58

    determine 2.8.three. “After” clarify PLAN 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 way to use this tool to overcome one of the crucial extra frustrating SQL efficiency tuning challenges: the affect 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 get a complete photo of what is inflicting a SQL observation to regress, and the way this new device facilitates advent of SQL Plan Baselines for SQL Plan 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 certain that there can be better documentation attainable because it’s been posted. I for this reason strongly suggest that you just take an in depth seem to be on the corresponding Oracle documentation on these elements to obtain crystal-clear knowing earlier than trying to implement them in a construction environment. Please be aware 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 All 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 | real questions and Pass4sure dumps

    Tuning the performance of Oracle Database 11gR2 is still just as much of an art 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 still just as much of an art as it is a science. This article - the first in this series - 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 learned 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 have enough memory in the right places to execute all of the SQL statements issued against it, then the database is said to be memory-bound. For example, while there may be sufficient memory, it may have been seriously mis-allocated between the database's Shared Global Area (SGA) and Program Global Area (PGA). Another possibility is that the memory components within the SGA itself have 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 memory bottlenecks are easily detected through the automated diagnostic infrastructure that Automatic Database Diagnostic Monitor (ADDM) provides. Oracle 11gR1's Automatic Memory Management (AMM) feature can also be activated to detect and automatically adjust memory 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 memory tuning advisors that encompass the instance's complete memory footprint (SGA + PGA) as well as individual advisors for the SGA, PGA, Database Buffer Cache, and the Library Cache; there are also SQL-based memory advisors for the Streams Pool, Large Pool, and Java Pool.

    CPU. A database application's SQL statements may be poorly written, or they may be unable to take advantage of efficient execution plans because of missing optimizer statistics. SQL statements may also be efficiently written but may be heavily dependent on complex arithmetic computations or complex 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 return 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 Active 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 offer specific tuning recommendations for individual SQL statements or even entire application workloads. Finally, Oracle 11g's SQL Performance Analyzer (SPA) and SQL Plan Management (SPM) features can be used to execute performance regression analysis for application workloads and even "lock in" a known, better-performing execution plan when upgrading from a prior database version to 11g.

    I/O. In my experience, if a database application is experiencing extremely poor performance, it's more likely to stem 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 also possible for a database instance to suffer from poor 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 memory bound systems, however, the identification, analysis, isolation, and eventual repair of the root causes for poor I/O response time is significantly more difficulty because of the complex nature of today's storage platforms. So let me attempt to pull back the curtain on I/O performance tuning by explaining it from a completely different perspective: that of the storage administrator.

    Isolating the Real Problem

    Here's the first big secret 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 single disk drive with a native installation of either the NTFS or EXT3 file system - disk I/O is always buffered in the cache memory that's part of each individual disk's I/O controller.

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

  • the individual speed (e.g. 10K, 15K) and resulting rotational latency of each drive
  • the number of physical spindles available within the disk array
  • the type 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 introduce 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 speed 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 offer it, the amount of internal cache memory
  • Application Workload I/O Profiles

    If the potential complexity of the I/O subsystem doesn't make 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 be isolated at the database level - for example, by creating separate OLTP and DSS databases, each with their own set of storage - and that was certainly helpful when attempting to isolate an I/O performance problem.

    In the last few years, however, the dramatic increase in the maturity of Oracle Real 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 also meant it was easier than ever to control and serve up sufficient bandwidth for multiple applications against a single RAC database, but this also means that it's not uncommon today to encounter a single RAC database that's servicing multiple application workloads with dramatically different I/O performance profiles.

    The good news is that there are only four basic types of I/O performance profiles that any Oracle DBA need be concerned about:

  • Random reads (RR) are found predominantly within OLTP application workloads. Random reads typically occur when a query requests a small number of blocks, usually as the result of an indexed search that is concentrated on a small 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 need to be retrieved into the database's buffer cache.
  • Likewise, random writes (RW) are found predominantly within OLTP application workloads as well. Continuing the example above, if the application needs to update a customer's profile, place 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 need to be 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 return a large result set, especially when a table scan is required to answer the query, or if a fast full index scan is needed for value retrieval or set operations. It's important to remember, however, that sequential read I/O is triggered not only by large query operations; it also happens during index creation as the index column values are read, and when Recovery Manager (RMAN) is commanded to back up all 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 also 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 big secret that their storage administrators keenly understand, sometimes better than even experienced Oracle DBAs: Ultimately, all 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 handle 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 perform 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 serious 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 series 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 All Articles by Columnist Jim Czuprynski

    Company Overview of Hewlett-Packard India Software Operation Pvt. Ltd. | real questions and Pass4sure dumps

    No result found, try new keyword!Hewlett-Packard India Software Operation Pvt. Ltd. develops and ... applications including Siebel CRM 8, database including Exadata Database Machine Models X2-2 and X2-8, Oracle Database 11g, Oracle ...

    Oracle launches Database 11g | real 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 have 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 be 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 Real Application Testing.

    “These three things alone are reason enough to upgrade. They improve the reliability and performance of the database, yet do not take 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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