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IBM Informix 11.50 Application Developer












Informix 11.50 Application Developer exam answers
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deciding on a Database Platform

There is not any silver bullet within the database world. Which database to select depends upon who you're, what you’re attempting to obtain, how a lot information you want to store, which OS/Language platform you employ for functions, your budget, whether you need an information warehouse, a BI or choice supporting device on good of it, and so forth.

background

Many pals, builders, application and equipment architects and infrequently even system administrators frequently question me the same kinds of questions: “Bo, should still i take advantage of MS SQL or Oracle database for my application?”, “Bo, may still I migrate my Sybase databases to MS SQL?”, “Which database (platform) is the top-rated?”, “Why don’t they use open supply databases akin to MySQL or PostgreSQL?” and many others. All of those questions are very nearly the same--which database platform suits the premier in the application, or which database platform makes the most experience for the IT and enterprise?

To answer any of those questions, I’d ask them a dozen greater questions earlier than I might probably suggest anything. i have been a database professional for one and a half many years, and often instances individuals don’t have in mind why an easy query from them would set off so many questions from me. hence, I've developed a popularity of over engineering, or over inspecting.

repeatedly, the interested adult didn’t even be aware of why s/he even essential a database, what a relational database is, and what the adjustments (the professionals and cons) of a spreadsheet, an access database, or a MS SQL database are, or what the software can benefit from housing the database on a RDBMS platform.

whereas I’m no longer here to preach about what a database is, as I already realize it means various things to diverse IT/non-IT americans. I don’t wish to be referred to as a database-centric nerd, however from time to time I don’t suppose i will be able to stay away from that complement. however, I do feel within the 21st century, people have been speaking about BI (company intelligence) and i additionally feel probably the most bendy, most complicated, and most maintainable programs are statistics driven. for this reason, I’ll simply provide a brief introduction of the most regular database systems that can be found, and what people use them for, according to my adventure and interplay with other database seasoned’s during this messy IT world.

under are the databases I individually have supported/developed for the reason that i used to be in faculty about nineteen years ago:

  • dBase/FoxBase/FoxPro within the DOS/Novell/windows 3.x world
  • MS SQL Server (6.5,7.0,2000,2005 and 2008)
  • Oracle (7, eight/8i,9i,10g)
  • Sybase SQL/ASE Servers (four.9.2, 10, eleven, 11.9.2, 12/12.5, 15.x)
  • Sybase IQ 12.6/12.7
  • Informix/Dynamic (6, 7)
  • MySQL (four, 5/5.1)
  • PostGreSQL (8.three.5)/EnterpriseDB.
  • additionally, I've participated in the assessment of time sequence databases, equivalent to Vhayu and OneTick. I also have a bit journey with in-memory databases used in the buying and selling business, corresponding to Oracle TimesTen and Sybase ASE in memory version (one element of Sybase RAP buying and selling version, which has develop into a strong competitor in the time series DB area, notably since they built-in with CEP earlier ultimate yr).

    I've labored as either as a full-time worker or consultant for different groups on distinctive tasks, and definitely think there has been no silver bullet within the database world. Which database to choose in fact depends upon here criteria:

  • Who you're
  • What you’re trying to obtain (company/functionality requirements, efficiency/reliability/scalability/availability requirements)
  • How lots facts you wish to shop within the existing databases earlier than archiving them
  • Which OS/Language platform you need to opt for for the application
  • How a lot money you can budget for it
  • no matter if you desire/need to construct an information warehouse, a BI or determination assisting system on right of it finally, and so on.
  • comparing different database systems is identical to comparing different development systems and OS platforms:

  • Java/J2EE to (C#, VB)/.web
  • windows to Linux/Unix
  • Linux to proprietary Unix techniques, such as AIX/HP-UX/Solaris/Tru64/Irix
  • Unix to OpenMVS/UniSys/Tandem/IBM Mainframe
  • If they shouldn't have the database to be within the crucial direction (as a result of considerations comparable to locking/blocking off, latency, sluggish I/O, and many others.) of any entrance office application systems equivalent to order entry, banking or telecommunication methods, and they simply need the database to save the after fact statistics or configuration/reference information as a knowledge repository, or if they need it as either a backup/option manner of saving information in database in place of in files, then just about any RDBMS that assist a allotted equipment will do:

  • MS SQL
  • Oracle
  • Informix
  • Sybase
  • TeraData
  • DB2
  • MySQL
  • PostGreSQL, and so on.
  • Of route, they all give different elements and have their own taste of SQL language, even if they all declare to conform to the ANSI SQL , SQL-ninety two specifications, and so on. once more, this is just like Websphere/WebLogic/Oracle App Server/Sybase EServer/JBoss--all distinctive implementations of J2EE, and that they all should be compliant and suitable with J2EE specs, yet with their personal taste and expansion.

    Mission-important (OLTP) and excessive performance system

    although, if they need the database to play a greater essential role in a mission/company-important system, and they desire every thing, equivalent to no down time/excessive Availability/clustering, reliability/factor-in-time recuperation, scalability (for both performance and records quantity), replication for DR(disaster healing) and reporting functions, with severe excessive pace and low latency (HPC), then they will likely want an RDBMS with commercial enterprise points, so as to incur high can charge—e.g., for one of the examples in the TPCC results, the overall system cost may be as much as multi-million. beneath is a assessment of the database structures based on those essential, high performance business elements.

    HA Clustering points

    The clustering capabilities of numerous systems are as follows:

  • Oracle RAC is the foremost for HA clustering and cargo balancing and scalability.
  • MS SQL Server Cluster gives HA failover however no load balancing.
  • Sybase ASE 15 Cluster achieves the equal issue as Oracle RAC.
  • TeraData is a networked/distributed DB platform considering the fact that birth.
  • MySQL Cluster claimed bigger TPC-C performance benchmarks than Oracle RAC.
  • IBM DB2/UDB works very smartly with IBM’s pSeries/energy server operating AIX HACMP(high Availability Cluster Multiprocessing), and Veritas VCS/sun Cluster and many others.
  • excessive efficiency/low latency/In reminiscence DB
  • Oracle offers TimesTen in-reminiscence database.
  • MySQL's cluster makes use of an in-reminiscence storage engine.
  • Sybase gives ASE in reminiscence database.
  • however, they will use RAMSAN/SSD (solid State Disk) to house MS SQL databases, then the entire database related disk I/O will take place to the SSD in preference to to ordinary actual disks, hence they are able to dramatically reduces disk I/O latency and enhance I/O throughput, and enhance standard database performance.
  • There are other in reminiscence DBs, reminiscent of SQLite or eXtremeDB, but most of them either simplest help embedded methods or simply aid a single person/connection at a time.
  • Scalability/efficiency
  • With Oracle RAC and Sybase ASE 15 Cluster, if the present hardware can not keep up with the efficiency requirement, they will quite simply add a beefier container to the cluster and regularly replace all other nodes, which offer protection to their existing investment superior.
  • With MS SQL Cluster, on the grounds that it simplest helps lively/Passive mode (instance wise), there isn't any scalability on the illustration degree. They need to exchange the entire cluster (or pair by means of pair), if the present hardware has been throttled.
  • MySQL cluster additionally helps adding nodes to the cluster with all nodes being active, however is a share nothing cluster. more nodes imply more copies of databases, extra storage and extra network traffic for statistics replication amongst all nodes within the cluster.
  • Replication
  • Sybase. (good enough, not to sell Sybase, as a result of individuals feel Bo is simply a Sybase man). Sybase has the superior replication solution, which out performs Oracle's facts shelter, or MS SQL Server's replication (even with its mirroring/log delivery/transactional replication, MS SQL's replication remains far from Sybase's replication server).
  • Sybase's replication is likely one of the leading reasons why Sybase dominated Wall road in the 1990s and remains used by means of many tremendous shops (e.g., castle, Goldman Sachs, financial institution of the united states, UBS, Chase, Barclays, etc.) for both heterogeneous replication and homogeneous replication.

  • with out losing too many words about Sybase replication, Sybase replication can also be implemented on the database stage (energetic/energetic replication, more desirable than SQL's mirroring), and transaction stage (like SQL's transaction replication) with RPC, desk stage, saved proc degree, feature string stage assist, and MSA (distinct-web page availability), and of course, log delivery (negative man's solution, in the replication world). Its mirror activator, at the side of EMC/SRDF, literally ensures genuine ZDL (zero information loss) for both planned and unplanned gadget outages.

  • MS SQL. MS SQL replication has log transport and database mirroring for warm/standby DB solutions (lively/passive, r/w and skim-best), and it supports transactional replication with the granularity on the article/object stage (per table).
  • Oracle. Oracle's records look after: one of the most premier techniques for database cloning and one of the crucial premier DR solutions (using RMAN).
  • MySQL. MySQL provides shared nothing cluster, which in reality is synchronous replication amongst all active nodes. And its asynchronous replication also supports on the transaction and object level.
  • Storage stage answer. With EMC's BCV, NetApp's Snap supervisor, Hitachi's snapshots, Veritas' quantity replicator, records replication can occur on the disk block/volume level. despite the fact, the replicant DB/volume is offline the entire time except installed to OS and offered to DB servers.
  • Hybrid/blended systems

    usually, center workplace and back workplace databases condominium a very good deal of massive quantity facts, and efficiency concerns constantly seem all the way through data retrieval (data sorting, grouping, summarizing, and calculating), which when working slowly will in flip affect the data writing procedure.

    therefore, for these kinds of functions, they need a database that handles big quantity records very neatly and may additionally tackle the reader/creator blocking off difficulty very well.

    Oracle

    Oracle is the most effective for this category of system, because in Oracle, reader and creator don't block each other; yet there isn't a dirty study for the reader and the statistics right through the whole analyzing process/session/transaction is consistent. The overhead occurs on the reminiscence stage by means of fiddling with latch and redo logs.

    MS SQL

    MS SQL 2005's new image isolation the use of row versioning carefully executed what Oracle has, and the overhead is that there's extra I/O incurred in tempdb.

    Sybase ASE

    Sybase ASE still has the reader and writer block each and every other. despite the fact, Sybase IQ has resolved the blockading situation by using photograph versioning as smartly.

    other Databases

    There are different databases that shouldn't have the blocking challenge, however a few of them aren't even ACID (atomicity, consistency, isolation, durability) compliant.

    facts Warehouse

    corporations construct facts warehouses to save/archive all historic records, and mine whatever records they consider needs to be put in database. typically, facts is denormalized into the information warehouse, and multi-dimensioned to give fast retrieval for OLAP and business intelligence (BI) solutions.

    statistics warehousing is also helpful for returned trying out to get a hold of new or greater company ideas. moreover, information grows exponentially in an information warehouse (dice) instead of linearly.

    advantages of Column-based RDBMS

    Column-based mostly RDBMS has an capabilities now as a result of column-primarily based databases are multi-dimensioned by using nature, and each column is self-indexed (B tree).

    Examples of standard column-based databases are Google's BigTable, Sybase IQ (statistics store in Sybase RAP), Vertica, and KickFire, which is built on MySQL.

    On commonplace, these column-based databases are 60 to one hundred instances quicker than ordinary row-primarily based RDBMS (e.g., Oracle, MS SQL, Sybase ASE, TeraData, DB2, MySQL) for information retrieval. although, they are slower for row stage based mostly records updating (plenty sooner for massive quantity of statistics load, or batch load notwithstanding). up to now, Sybase IQ seems to be the leader during this world, which claims to residence the biggest information warehouse on the earth with a dimension of over 1 PetaByte.

    more information about these programs is accessible on their respective internet websites.

    extra about Column-based mostly RDBMS

    each Oracle and MS SQL deserve to construct cubes to deal with multi-dimensioned statistics for facts warehousing, which incurs a lot more further storage and design work as smartly. in my opinion, I consider row-based mostly RDBMS statistics warehouses will soon be replaced by using column-based mostly records warehouses.

    universal, row-primarily based RDBMS (MS SQL, Oracle, Informix, DB2/UDB, MySQL, Sybase ASE, and many others.) is stronger for OLTP, while column-based mostly RDBMS (Sybase IQ, KickFire, Vertica, etc.) is better for OLAP/DSS and information warehouse. observe: those time series databases equivalent to OneTick, kdb+ and Vhayu don't seem to be somewhat relational databases, however their storage constitution are in line with info on the file programs with each column as a separate file, which virtually is column-based mostly. Column-based mostly database is also helpful for returned trying out to come up with new and greater buying and selling innovations. moreover, data grows exponentially in statistics warehouse (dice) in accordance with row-primarily based RDBMS, as opposed information most effective transforming into linearly in data warehouses according to column-based RDBMS.

    historically, Oracle has had an competencies within the information warehouse world, but now it's losing aspect to column-based RDBMS, such as Sybase IQ ,Vertica and KickFire built on MySQL. Google is the use of BigTable, an extra column-based database/storage device.

    Migration innovations

    Supportability and current investment in database technology is one more thought.

    I've considered reasonably a number of a success migrations from Sybase to SQL and vice versa, but have not considered many from Sybase/MS SQL to Oracle or vice versa. depending on the database dimension and application scope and coupling with the databases, it may take a few consultants and entire-time personnel years to migrate Sybase/MS SQL kept strategies, rewrite functions and look at various them, even with the aid of Oracle Migration Workbench (now they can use SQL Developer), as each and every and each saved process will must be actually rewritten. The migration is less difficult if the applications simplest use ODBC/JDBC/ADO.net and no kept techniques/transient tables.

    Native help of programming Languages

    Having pointed out the above, Oracle does have the most excellent supportability/points for Java. they can save Java code in Oracle and deal with it as a native Oracle function, which makes Oracle expandable (form of like open supply). in addition, Sybase supports native Java code, too. (Sybase also has OpenServer, which is used to build adventure-driven applications for trading enterprises.) both MS SQL/Sybase aid extended kept processes, which almost is an interface in the DB calling external dlls written in different programming languages.

    charge of ownership

    after we’re all the features of these databases, one element to take into account is the charge and time body. in spite of the fact that you have an experienced database group, it doesn’t make a great deal sense to unfold throughout more than three database platforms. additionally, it doesn’t make a great deal feel to consolidate them all and migrate to 1 database platform, as lots of the heterogeneous databases can have interaction with one a further through MS SQL’s linked server, Oracle Gateway, or with some database replication and ETL manner in location. if you happen to accept as true with the charge of conserving a certain database, never isolate the database cost. reasonably, believe it as a vital a part of your application, your infrastructure.

    i am hoping this text is a support for those americans who will or are already within the procedure of picking a database for his or her applications.

    » See All Articles with the aid of Columnist Bo Chen


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