Sybase ASE 15.7 Sıkıştırma Oopsiyonu


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Sıkıştırma ile daha az disk daha fazla performans

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Sybase ASE 15.7 Sıkıştırma Oopsiyonu

  1. 1. business white paperSybase® Adaptive Server® EnterpriseData CompressionDoing More With
  2. 2. Improving Performance and Reducing Costs Even As Data Stores Mushroom ASE delivers business critical The proliferation of data across enterprises, including data residing in operational, development and back-up performance using compressionsystems, siloed departmental systems and on individual desktop, laptop and mobile devices is nearly unfathomable. In algorithms in the database to expand and contract dataa digital blink of an eye, organizations have blown quickly through the megabyte and gigabyte ages and now straddle automatically. This enablesthe terabyte age. A few organizations have even crossed the petabyte threshold. Like the expansion of the universe, it organizations to use less disk spaceseems as if this data growth will continue unchecked. to store the same amount of data Studies show an overall annual data growth of more than 30 percent. In the face of this unrelenting and rapid and to retrieve that informationaccumulation of data, quips that “storage is cheap,” don’t do much to alleviate the concern among IT professionals from disks as much as four timesand corporate executives that there is, in fact, a rather steep price to pay for this growth. faster. When you consider the multiple factors that make up the total managed cost of enterprise data — includingstorage hardware, licensing, facility space, cooling and other energy costs, staffing and maintenance, it doesn’t takezettabyte data stores to cause significant budgetary pain. In a recent survey of Sybase customers, more than 30 percent of respondents reported they have terabyte-sizeddatabases. They also reported that their annual cost to manage a single terabyte of data ranged between $25,000 and$100,000. The non-stop growth of data stores due to the acquisition of new data (much of which is space gobblingunstructured data), longer data retention regulations, siloed departmental data, replicated data for backups and usein development and testing environments, presents organizations with other types of costs as well. These additionalcosts manifest themselves in the form of operational performance degradation, slower back-ups, increased systemdowntime and maintenance requirements, and business-critical reporting and analytics challenges. After all, it doesn’tdo an organization much good to collect huge volumes of data that it can’t efficiently organize, store, access, queryand analyze in order to make insightful and rapid business decisions and provide superior customer service. Particularly from an IT perspective, all of this boils down to two critical challenges: • Ensure high performance regardless of data volumes. • Control data storage and management costs. This paper addresses the key questions raised by these challenges. Namely, is it possible to: • Store even more data on existing disks and reduce the time it takes to retrieve it? • Save money while improving response times and increasing reliability? The answer to these questions is “Yes!” Which naturally leads to additional questions including “How?” and“By how much?”Data Multiplies Exponentially Wherever you work — in banking, real estate, insurance, telecommunications, healthcare, government, media, etc. —you know all too well what it’s like to work in an environment in which it’s always monsoon season. Data — includingtraditional relational data and unstructured data such as word documents, audio and video files, presentations, pdfs,spreadsheets, XML-based data and more — continue to pour into your operational databases. But that’s only partof the story. Once data enters your enterprise, it is copied again and again and again, in whole or in part, for backup,development and testing, staging, off-site business continuity systems…the list goes on and on. One Sybase partner cites an example of a client with a 2.8 terabyte database that it has copied 36 times for variouspurposes — all of which IT must manage.1 Granted that may be a unique example. Still, given this proliferation phenomenon, it’s easy to see how even aone- or two-terabyte data store can quickly explode into many terabytes of managed data. At a minimum, on average,one unit of data translates into three to five copies within the data center, as well as additional copies beyond the datacenter. And that’s at a minimum.1 From “Why You’ll Want to Upgrade to ASE 15.7” by Jeffrey Garbus, CEO, Soaring Eagle Consulting; p1; 2011; accessed at 1
  3. 3. ASE data Compression Benefits • Reduced Cost: Using fewer disks to store your data means smaller servers, which also produce less heat and use less electricity. • Increased Reliability: Fewer disks means increasing reliability as spinning disks are less reliable than most other components of a server system. • Improved Performance: Reducing the amount of time it takes to get data from the disks (i.e. reduction in spindle time)Data growth, which is prodigious enough based on the addition of new transactional, CRM and other internal and external sources improves performance. Thatis made even greater and more costly by requirements that mandate longer retention of data, incorporation of large volumes of means better response time tounstructured data, and replication of numerous copies of the data for backup, development, testing, staging and other purposes. That your most difficult queries.exponential data growth also adds substantially to the total managed cost of data.As Data Volumes Grow, So, Too, Do Costs This brings us back to the challenges you face in terms of hard costs for hardware, software licenses, data centerfloor space, power consumption, data transfer and bandwidth costs, and of course, the labor costs to manage this dataand maintain the various systems it inhabits. While the very thought of this can bring on heartburn and start you thinking about taking a few weeks off, it reallycomes down to some fairly straightforward arithmetic, regardless of industry sector.Consider the following example. Say you’re working in an enterprise in which you’ve got a dozen data environments (operational, development, test,back-up, etc.). And let’s say the total data you’re managing is five terabytes, which is growing at a compound annualgrowth rate of 30 percent. And for the sake of this example, let’s say your total managed data cost per terabyte is$75,000 (roughly in the middle of the reported range cited above). Here are your total managed costs over afive-year period: Year 1: $487,500 Year 2: $633,750 Year 3: $823,875 Year 4: $1,071,038 Year 5: $1,392,349 Over just a five-year period, your total managed costs add up to $4,408,512. In any organization, no matter how large, that’s serious money. The good news is that there is a way you can reduceyour total data management cost substantially — in the case of the example above, by more than 30 percent!Advanced Compression Lowers the Cost of Managing Exploding Data Volumes Sybase Adaptive Server Enterprise addresses exactly the pain points discussed above — exploding data volumes,increasing costs, and performance and scalability problems. ASE, with its new advanced compression capabilities2, allows large data volumes to be stored more compactly andreduces I/O times. This enables today’s enterprises to handle more transactions, manage exploding data volumes(with a particular focus on managing unstructured data more efficiently) and support more concurrent users withoutincurring the cost of more disks and hardware. 2
  4. 4. ASE delivers business critical performance using compression algorithms in the database to expand and contract Increased Performancedata automatically. This enables organizations to use less disk space to store the same amount of data and to retrieve Through Compressionthat information from disks as much as four times faster. • ASE’s compression functionality In prior releases, ASE customers had the ability to compress backups, which helped reduce offline storage costs. delivers increased performance.Now ASE enables in-database compression for active data sets. Using compression in ASE, both relational data and • Algorithms in the databaseunstructured data (large objects or LOBs) can be compressed by 40 to 80 percent. The precise compression ratio in any automatically squeeze data intogiven situation depends on a number of factors including the types of data (unstructured data compresses more than fewer bytes before writing it tostructured data) and how complex the data is. the disk drive. • The same algorithms are used in reverse to restore the data to its easier to use form for retrieval.Numerous types of space-gobbling unstructured data are pouring into operational databases, exacerbating the storage andperformance challenges IT departments face. Data compression in ASE is particularly effective in reducing the storage requirementsfor this LOB data. ASE uses a number of compression strategies to achieve high compression ratios: • Compression within a single row to compress away empty spaces/zeroes in fixed length columns. • Both page dictionary and page index compression strategies are used at the page/block level. • In-database LOB compression. These compression strategies not only allow large data volumes to be stored more compactly, but they also reduceI/O times to ensure high performance on even the largest databases. Performance-wise, they also enable faster backups. ASE helps further reduce storage requirements by providing the ability to shrink a transaction log. Transaction logscan often grow very large for a number of reasons including: • Handling log-full situations, • Supporting one-time operations that may require lots of space, and • Generous estimates during capacity planning. From a cost savings perspective, ASE compression delivers impressive benefits as well including: • The need for fewer disks • Reduced data center space • Power savings • Decreased administration requirementsApplied to the example cited earlier in which the 5-year total managed costs added up to $4,408,512, ASE with datacompression could deliver an estimated 5-year total savings of $1,410,724 (over 30 percent).3 3
  5. 5. Of course, depending on the variables in your enterprise — size of operational data store, compound annual “Sybase has madegrowth rate, cost per managed terabyte of data and the number of replicated environments across your enterprise, significant enhancementsyour savings could very well exceed this. to optimize data storage You know that data-driven business challenges only increase with each passing day. That is not going to change. and increase developerHowever, Sybase ASE can help you address those challenges, making your enterprise systems more powerful, efficient, productivity in ASE 15.7.reliable and cost-effective. That in turn can make your organization more competitive and profitable. These new features should strengthen ASE’s already For more information, contact your account manager today, call us at 1-800-8-SYBASE or visit us at impressive total cost ownership.” – Carl Olofson, Research Vice President, IDC2 Data compression is licensed as an option to ASE. For more information, contact your Sybase representative.3 This cost savings estimate is based on tests conducted by Sybase. For calculations specific to your enterprise, contact your Sybase representative or call Sybase at 1-800-8-SYBASE.Sybase, Inc.Worldwide HeadquartersOne Sybase DriveDublin, CA 94568-7902U.S.A1 800 8 sybase Copyright © 2012 Sybase, Inc. All rights reserved. Unpublished rights reserved under U.S. copyright laws. Sybase, the Sybase logo and Adaptive Server are trademarks of Sybase, Inc. or its subsidiaries. ® indicates registration in the United States of America. SAP and the SAP logo are the trademarks or registered trademarks of SAP AG in Germany and several other countries. All other trademarks are the property of their respective owners. 01/12