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  • OWB 11gR2 &ndash; Flexible and extensible

    - by David Allan
    The Oracle data integration extensibility capabilities are something I love, nothing more frustrating than a tool or platform that is very constraining. I think extensibility and flexibility are invaluable capabilities in the data integration arena. I liked Uli Bethke's posting on some extensibility capabilities with ODI (see Nesting ODI Substitution Method Calls here), he has some useful guidance on making customizations to existing KMs, nice to learn by example. I thought I'd illustrate the same capabilities with ODI's partner OWB for the OWB community. There is a whole new world of potential. The LKM/IKM/CKM/JKMs are the primary templates that are supported (plus the Oracle Target code template), so there is a lot of potential for customizing and extending the product in this release. Enough waffle... Diving in at the deep end from Uli's post, in OWB the table operator has a number of additional properties in OWB 11gR2 that let you annotate the column usage with ODI-like properties such as the slowly changing usage or for your own user-defined purpose as in Uli's post, below you see for the target table SALES_TARGET we can use the UD5 property which when assigned the code template (knowledge module) which has been modified with Uli's change we can do custom things such as creating indices - provides The code template used by the mapping has the additional step which is basically the code illustrated from Uli's posting just used directly, the ODI 10g substitution references also supported from within OWB's runtime. Now to see whether this does what we expect before we execute it, we can check out the generated code similar to how the traditional mapping generation and preview works, you do this by clicking on the 'Inspect Code' button on the execution units code template assignment. This then  creates another tab with prefix 'Code - <mapping name>' where the generated code is put, scrolling down we find the last step with the indices being created, looks good, so we are ready to deploy and execute. After executing the mapping we can then use the 'Audit Information' panel (select the mapping in the designer tree and click on View/Audit Information), this gives us a view of the execution where we can drill into the tasks that were executed and inspect both the template and the generated code that was executed and any potential errors. Reflecting back on earlier versions of OWB, these were the kinds of features that were always highly desirable, getting under the hood of the code generation and tweaking bit and pieces - fun and powerful stuff! We can step it up a bit here and explore some further ideas. The example below is a daisy-chained set of execution units where the intermediate table is a target of one unit and the source for another. We want that table to be a global temporary table, so can tweak the templates. Back to the copy of SQL Control Append (for demo purposes) we modify the create target table step to make the table a global temporary table, with the option of on commit preserve rows. You can get a feel for some of the customizations and changes possible, providing some great flexibility and extensibility for the data integration tools.

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  • ODI 11g – Expert Accelerator for Model Creation

    - by David Allan
    Following on from my post earlier this morning on scripting model and topology creation tonight I thought I’d add a little UI to make those groovy functions a little more palatable. In OWB we have experts for capturing user input, with the groovy console we open up opportunities to build UI around the scripts in a very easy way – even I can do it;-) After a little googling around I found some useful posts on SwingBuilder, the most useful one that I used for the dialog below was this one here. This dialog captures user input for the technology and context for the model and logical schema etc to be created. You can see there are a variety of interesting controls, and its really easy to do. The dialog captures the users input, then when OK is pressed I call the functions from the earlier post to create the logical schema (plus all the other objects) and model. The image below shows what was created, you can see the model (with typo in name), the model is Oracle technology and references the logical schema ORACLE_SCOTT (that I named in dialog above), the logical schema is mapped via the GLOBAL context to the data server ORACLE_SCOTT_DEV (that I named in dialog above), and the physical schema used was just the user name that I connected with – so if you wanted a different user the schema name could be added to the dialog. In a nutshell, one dialog that encapsulates a simpler mechanism for creating a model. You can create your own scripts that use dialogs like this, capture input and process. You can find the groovy script for this is here odi_create_model.groovy, again I wrapped the user capture code in a groovy function and return the result in a variable and then simply call the createLogicalSchema and createModel functions from the previous posting. The script I supplied above has everything you will need. To execute use Tools->Groovy->Open Script and then execute the green play button on the toolbar. Have fun.

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  • No Downtime Siebel Migration with Oracle GoldenGate iDemo Recording

    - by user491905
    Hi everyone,Thank you very much for attending today's OGG Siebel Migration iDemo.Here is the recording link for today's iDemo session:No Downtime Siebel Migration with Oracle GoldenGate24 June 2011, 2:01 pm Sydney Time  , 53 minshttps://oracleevents.webex.com/oracleevents/lsr.php?AT=pb&SP=EC&rID=62965277&rKey=928dbcbb49cafc64In the near future, I'll put all recording links, presentations, and iDemo On Demand demos in a list so it'll be easier for you to access.

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  • ??GoldenGate?LAG???

    - by Liu Maclean(???)
    GGSCI????LAG?? ????????????????Oracle?redo????online redo logfile? ? Replicat????????????????? ???????? ????,?????????????????LAG; ????????????????REPLICAT??apply???????????? OGG????RANGE??????????,????????REPLICATE??APPLY? OGG??MAXTRANSOPS???????? LAG?????????: ?Extract?????redolog????TRAIL?REMOTE HOST ????datapump???extract trail????????????REMOTE HOST ?collector?????????????????LOCAL TRAIL ?REPLICAT??LOCAL TRAIL???????? ?????????GGSCI?INFO?STATUS??????LAG,???SEND ???,LAG?????LAG?????: INFO??????LAG???SEND??????????? INFO?????LAG???MANAGER????????checkpoint SEND <OBJECT>, lag???LAG???<OBJECT>???????????? LAG?????????????????Kilobytes??? ????LAG??? ????????????? ? EXTRACT/PUMP/REPLICAT???????? ?2?????????, ???? LAG???EXTRACT??????? ??EXTRACT/PUMP/REPLICAT??????????????? REAL TIME,???LAG????? ?????????????? ????????REDO LOG?????????,?LAG???ER???????,?????????????? ??????,STOP EXTRACT?????????????????LAG,????EXTRACT?????,??EXTRACT????????? ????REDO LOG???? ?EXTRACT??????????????????? GGSCI (XIANGBLI-CN) 27> stop load2 Sending STOP request to EXTRACT LOAD2 … Request processed. GGSCI (XIANGBLI-CN) 28> start load2 Sending START request to MANAGER … EXTRACT LOAD2 starting GGSCI (XIANGBLI-CN) 31> info load2 EXTRACT    LOAD2     Last Started 2012-09-18 20:26   Status RUNNING Checkpoint Lag       00:04:34 (updated 00:00:08 ago) Log Read Checkpoint  Oracle Redo Logs 2012-09-18 20:21:32  Seqno 44, RBA 13750272 SCN 0.1845479 (1845479) GGSCI (XIANGBLI-CN) 35> lag load2 Sending GETLAG request to EXTRACT LOAD2 … Last record lag: 130 seconds. At EOF, no more records to process. GGSCI (XIANGBLI-CN) 36> info load2 EXTRACT    LOAD2     Last Started 2012-09-18 20:26   Status RUNNING Checkpoint Lag       00:00:00 (updated 00:00:02 ago) Log Read Checkpoint  Oracle Redo Logs 2012-09-18 20:27:33  Seqno 44, RBA 13817856 SCN 0.1845671 (1845671) ?????? Last record lag ? Checkpoint Lag ???? EXTRACT/PUMP/REPLICAT ?????????????(catch up), ???? ?????????????GB?redo???,??????EXTRACT/PUMP/REPLICAT ????????? ???INFO?LAG???checkpoint?,????????????Long Running Transactions (LRTs),??????????COMMIT? ????????????????????????COMMIT?????? ????EXTRACT/PUMP/REPLICAT???????????????????????commit????? ??REPLICAT????MAXTRANSOPS ?????LAG?

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  • Oracle Warehouse Builder és Enterprise ETL

    - by Fekete Zoltán
    Friss és ropogós az adatlap!!! Fogyasszátok egészséggel: ODI Enterprise Edition: Warehouse Builder Enterprise ETL white paper. A jó hír: minden megvásárolt Oracle Database-hez ingyenese használható az Oracle Warehouse Builder alap (core) funkcionalitása. Mi is az az OWB core funkcionalitás, és mit használhatunk az opciókban? Az Enterprise ETL funkcionalitás az Oracle Data Integrator Enterprise Edition licensz részeként érheto el az OWB-hez. Azok a funkciók, amik csak az ODI EE licensszel érhetok el (a korábbi OWB Enterprise ETL opció is ennek a része) megtekinthetok itt is a szöveg alján. Ezek: - Transportable ETL modules, multiple configurations, and pluggable mappings - Operators for pluggable mapping, pluggable mapping input signature, pluggable mapping output signature - Design Environment Support for RAC - Metadata change propagation - Schedulable Mappings and Process Flows - Slowing Changing Dimensions (SCD) Type 2 and 3 - XML Files as a target - Target load ordering - Seeded spatial and streams transformations - Process Flow Activity templates - Process Flow variables support - Process Flow looping activities such as For Loop and While Loop - Process Flow Route and Notification activities - Metadata lineage and impact analysis - Metadata Extensibility - Deployment to Discoverer EUL - Deployment to Oracle BI Beans catalog Tehát ha komolyabb környezetben szeretném használni az OWB-t, több környezetbe deployálni, stb, akkor szükség van az ODI EE licenszre is. ODI Enterprise Edition: Warehouse Builder Enterprise ETL white paper.

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  • Big Data Matters with ODI12c

    - by Madhu Nair
    contributed by Mike Eisterer On October 17th, 2013, Oracle announced the release of Oracle Data Integrator 12c (ODI12c).  This release signifies improvements to Oracle’s Data Integration portfolio of solutions, particularly Big Data integration. Why Big Data = Big Business Organizations are gaining greater insights and actionability through increased storage, processing and analytical benefits offered by Big Data solutions.  New technologies and frameworks like HDFS, NoSQL, Hive and MapReduce support these benefits now. As further data is collected, analytical requirements increase and the complexity of managing transformations and aggregations of data compounds and organizations are in need for scalable Data Integration solutions. ODI12c provides enterprise solutions for the movement, translation and transformation of information and data heterogeneously and in Big Data Environments through: The ability for existing ODI and SQL developers to leverage new Big Data technologies. A metadata focused approach for cataloging, defining and reusing Big Data technologies, mappings and process executions. Integration between many heterogeneous environments and technologies such as HDFS and Hive. Generation of Hive Query Language. Working with Big Data using Knowledge Modules  ODI12c provides developers with the ability to define sources and targets and visually develop mappings to effect the movement and transformation of data.  As the mappings are created, ODI12c leverages a rich library of prebuilt integrations, known as Knowledge Modules (KMs).  These KMs are contextual to the technologies and platforms to be integrated.  Steps and actions needed to manage the data integration are pre-built and configured within the KMs.  The Oracle Data Integrator Application Adapter for Hadoop provides a series of KMs, specifically designed to integrate with Big Data Technologies.  The Big Data KMs include: Check Knowledge Module Reverse Engineer Knowledge Module Hive Transform Knowledge Module Hive Control Append Knowledge Module File to Hive (LOAD DATA) Knowledge Module File-Hive to Oracle (OLH-OSCH) Knowledge Module  Nothing to beat an Example: To demonstrate the use of the KMs which are part of the ODI Application Adapter for Hadoop, a mapping may be defined to move data between files and Hive targets.  The mapping is defined by dragging the source and target into the mapping, performing the attribute (column) mapping (see Figure 1) and then selecting the KM which will govern the process.  In this mapping example, movie data is being moved from an HDFS source into a Hive table.  Some of the attributes, such as “CUSTID to custid”, have been mapped over. Figure 1  Defining the Mapping Before the proper KM can be assigned to define the technology for the mapping, it needs to be added to the ODI project.  The Big Data KMs have been made available to the project through the KM import process.   Generally, this is done prior to defining the mapping. Figure 2  Importing the Big Data Knowledge Modules Following the import, the KMs are available in the Designer Navigator. v\:* {behavior:url(#default#VML);} o\:* {behavior:url(#default#VML);} w\:* {behavior:url(#default#VML);} .shape {behavior:url(#default#VML);} Normal 0 false false false EN-US ZH-TW X-NONE MicrosoftInternetExplorer4 /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin:0in; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:10.0pt; font-family:"Calibri","sans-serif"; mso-bidi-font-family:"Times New Roman";} Figure 3  The Project View in Designer, Showing Installed IKMs Once the KM is imported, it may be assigned to the mapping target.  This is done by selecting the Physical View of the mapping and examining the Properties of the Target.  In this case MOVIAPP_LOG_STAGE is the target of our mapping. Figure 4  Physical View of the Mapping and Assigning the Big Data Knowledge Module to the Target Alternative KMs may have been selected as well, providing flexibility and abstracting the logical mapping from the physical implementation.  Our mapping may be applied to other technologies as well. The mapping is now complete and is ready to run.  We will see more in a future blog about running a mapping to load Hive. To complete the quick ODI for Big Data Overview, let us take a closer look at what the IKM File to Hive is doing for us.  ODI provides differentiated capabilities by defining the process and steps which normally would have to be manually developed, tested and implemented into the KM.  As shown in figure 5, the KM is preparing the Hive session, managing the Hive tables, performing the initial load from HDFS and then performing the insert into Hive.  HDFS and Hive options are selected graphically, as shown in the properties in Figure 4. Figure 5  Process and Steps Managed by the KM What’s Next Big Data being the shape shifting business challenge it is is fast evolving into the deciding factor between market leaders and others. Now that an introduction to ODI and Big Data has been provided, look for additional blogs coming soon using the Knowledge Modules which make up the Oracle Data Integrator Application Adapter for Hadoop: Importing Big Data Metadata into ODI, Testing Data Stores and Loading Hive Targets Generating Transformations using Hive Query language Loading Oracle from Hadoop Sources For more information now, please visit the Oracle Data Integrator Application Adapter for Hadoop web site, http://www.oracle.com/us/products/middleware/data-integration/hadoop/overview/index.html Do not forget to tune in to the ODI12c Executive Launch webcast on the 12th to hear more about ODI12c and GG12c. Normal 0 false false false EN-US ZH-TW X-NONE MicrosoftInternetExplorer4 /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin:0in; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:10.0pt; font-family:"Calibri","sans-serif"; mso-bidi-font-family:"Times New Roman";}

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  • ISE (Germany) and Techdata Azlan: Exadata win over IBM at Immonet

    - by Javier Puerta
    Immonet, a subsidiary of German media company Axel Springer, provides cross-media real estate marketing via the Internet, newspapers, and other channels. The Immonet.de website is the number two German property portal with approximately 1.8 million unique visitors per month and over than 950,000 current online offerings. Read here how ISE solved with Exadata the performance problems that Immonet was experiencing.

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  • Nike Achieves Scalability and Performance with Oracle Coherence & Exadata

    - by Michelle Kimihira
    Today, we are featuring a customer interview with with Nicole Otto, Senior Director, Consumer Digital Tech at Nike who talks about how they achieved scalability and performance with Oracle Coherence and Oracle Exadata.    Additional Information Product Information on Oracle.com: Oracle Fusion Middleware Follow us on Twitter and Facebook Subscribe to our regular Fusion Middleware Newsletter

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  • Featured partner: Avanttic achieves Exadata and Exalogic OPN Specialization

    - by Javier Puerta
    Avanttic is a an Oracle Platinum Partner with headquarters in Barcelona (Spain). Their strategy is based on two key pillars: technological specialization and employee development. The technological specialization translates into their motto: "100% Oracle".   In the last weeks Avanttic has achieved all the prerequisites to become OPN Specialized in Exadata and in Exalogic, reaching a total of 13 specializations around the Oracle Technology stack. Congratulations, Avanttic!

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  • Exadata X3 launch webcast - Available on-demand

    - by Javier Puerta
    Available on-demand, this webcast covers everything partners need to know about Oracle’s next-generation database machine. You will learn how to improve performance by storing multiple databases in memory, lower power and cooling costs by 30%, and easily deploy a cloud based database service. Exadata X3 combines massive memory and low-cost disks to deliver the highest performance at the lowest cost. View here!

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  • Database Machine gyakorlati tapasztalatok!

    - by Fekete Zoltán
    Ketto héttel ezelott gyakorlati tapasztalatokat szereztünk egy magyarországon muködo vállalat adattárházával egy igazi Database Machine / Exadata környezetben, egy Sun Oracle Database Machine Half Rack kiépítéssel. Az eredmények valóban lenyugözöek. Az Exadata Storage izgalmas és egyedi tulajdonságai: Smart Scan, Smart Flash Cache, Storage Index, tömörítés: Exadata Hybrid Columnar Compression, a hihetetlen mértéku párhuzamosság olyan teljesítmény elonyhöz juttatja a felhasználót, ami szemelkerekedést, ujjongást és hosszantartó belso mosolyt eredményez. Hogy ez hasznos-e az Ön és adatbázis környezete egészségére nézve? :) Kérdezze meg orvosát, gyógyszerészét és a white paper leírásokat, továbbá publikált ügyfél történeteket. A technikai és kereskedelmi részletekrol kérdezzen engem. :) A holnapi (2010. máricius 24. szerda) eloadáson a HOUG Konferencián személyesen is meghallgathatók ezek a gyakorlati tapasztalatok, authentikus forrásból. Hasonlóan szép napokat kívánok mindenkinek!

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  • Konszolidációs stratégiák az Oracle Database Machine-hez webcast, 2010. június 16.

    - by Fekete Zoltán
    Az utóbbi hetekben két tanfolyamon vettem részt, így a blogbejegyzések nem szaporodtak. Na most újult erovel. :) Regisztráció a webcast-ra. Holnap, azaz 2010. június 16-án 18h-kor (közép-európai ido) csatlakozhatunk a Consolidation Strategies for Oracle Database Machine, azaz a Konszolidációs stratégiák az Oracle Database Machine-hez címu webcasthoz, amit az Oracle BIWA és az Exadata SIG (Special Interest Group) rendez meg. Az eloadó: Dave Norris, aki az Oracle X Team tagja. Exadata SIG: http://OracleExadata.org BIWA SIG http://OracleBIWA.org The Oracle Database Machine V2 (the Exadata system) offers customers the opportunity to run combinations of consolidated workloads for both data warehousing (DW) and online transaction processing (OLTP) while maintaining superior performance. Regisztráció a webcast-ra.

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  • Why Oracle Delivers More Value than IBM in Data Integration Solutions

    - by irem.radzik(at)oracle.com
    For data integration projects, IT organization look for a robust but an easy-to-use solution, which simplifies enterprise data architecture while providing exceptional value-- not one that adds complexity and costs. This is a major challenge today for customers who are using IBM InfoSphere products like DataStage or Change Data Capture. Whereas, Oracle consistently delivers higher level value with its data integration products such as Oracle Data Integrator, Oracle GoldenGate. There are many differentiators for Oracle's Data Integration offering in comparison to IBM. Here are the top five: Lower cost of ownership Higher performance in both real-time and bulk data movement Ease of use and flexibility Reliability Complete, Open, and Integrated Middleware Offering Architectural differences between products contribute a great deal to these differences. First of all, Oracle's ETL architecture does not require a middle-tier transformation server, something IBM does require. Not only it costs more to manage an additional transformation server including energy costs, but it adds a performance bottleneck as well. In addition, IBM's data integration products are complex and often require lengthy professional services engagements to integrate. This translates to higher costs and delayed time to market. Then there's the reliability factor. Our customers choose Oracle GoldenGate over IBM's InfoSphere Change Data Capture product because Oracle GoldenGate is designed for mission-critical systems that require guaranteed data delivery and automatic recovery in case of process interruptions. On Thursday we will discuss these key differentiators in detail and provide customer examples that chose Oracle over IBM in data integration projects. Join us on Thursday Feb 10th at 11am PT to learn how Oracle delivers more value than IBM in data integration solutions.

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  • Upgrading Oracle Siebel CRM Application Without Downtime

    - by Doug Reid
    Oracle’s Siebel Customer Relationship Management (CRM) software helps organizations differentiate their businesses to achieve top- and bottom-line growth. Siebel CRM delivers comprehensive solutions that are tailored to more than 20 different industries. As Siebel CRM implementations have evolved into mission critical, operational business processes that must operate 24/7, companies are finding it increasingly difficult to afford the downtime typically required to perform an in-place upgrade. Without these upgrades, businesses loose out on critical new features and functionality. With Oracle GoldenGate, customers don’t have to choose between upgrades and outages. Oracle GoldenGate allows Siebel CRM customers to perform upgrades with zero downtime. Now Siebel customers can always take advantages of the latest innovations in customer relationship management without having to worry about potential lost revenue due to downtime. Oracle GoldenGate provides three different deployment models for Siebel CRM zero downtime upgrades that are designed to meet differing customer requirements. These range from a basic unidirectional model, which is designed to work out-of-the-box, to the most sophisticated active-active model for phased migrations. If you have mission-critical Siebel CRM implementations I recommend that you watch the screencast below to learn how you can begin taking advantage of all the latest Siebel enhancements without having any downtime. This screencast is also available on Oracle Media Network and Oracle's YouTube channel. For even more details I recommend reading the whitepaper Upgrading Siebel CRM with Zero Downtime .

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  • Exadata?????????INSERT?UPDATE

    - by Liu Maclean(???)
    Hybrid Columnar Compression??????Exadata?????????????,??????????(advanced compression)??,Hybrid columnar compression (HCC) ???Exadata????????HCC???????????CU(compression unit?????),??CU??????????,?????????????????????????,???CU????block??????????????? ???????INSERT/UPDATE??,??????????????,????UPDATE/INSERT???HCC?????????????????? hybrid columnar compression???????????????(bulk initial load)??,??????(direct load)??ALTER TABLE MOVE, IMPDP???????(append INSERT),??HCC??????????????????????? ???????????????????,?????????CU????????? ??????????????HCC?????????????for OLTP?????? ????????: SQL*Plus: Release 11.2.0.2.0 Production on Wed Sep 12 06:14:53 2012 Copyright (c) 1982, 2010, Oracle. All rights reserved. Connected to: Oracle Database 11g Enterprise Edition Release 11.2.0.2.0 - Production With the Partitioning, Automatic Storage Management, OLAP, Data Mining and Real Application Testing options SQL> grant dba to scott; Grant succeeded. SQL> conn scott/oracle Connected. SQL> SQL> create table hcc_maclean tablespace users compress for query high as select * from dba_objects; Table created. 1* select rowid,owner,object_name,dbms_rowid.rowid_block_number(rowid) from hcc_maclean where owner='MACLEAN' SQL> / ROWID OWNER OBJECT_NAME DBMS_ROWID.ROWID_BLOCK_NUMBER(ROWID) ------------------------------ ------------------------------ -------------------- ------------------------------------ AAAThuAAEAAAHTJAOI MACLEAN SALES 29897 AAAThuAAEAAAHTJAOJ MACLEAN MYCUSTOMERS 29897 AAAThuAAEAAAHTJAOK MACLEAN MYCUST_ARCHIVE 29897 AAAThuAAEAAAHTJAOL MACLEAN MYCUST_QUERY 29897 AAAThuAAEAAAHTJAOh MACLEAN COMPRESS_QUERY 29897 AAAThuAAEAAAHTJAOi MACLEAN UNCOMPRESS 29897 AAAThuAAEAAAHTJAOj MACLEAN CHAINED_ROWS 29897 AAAThuAAEAAAHTJAOk MACLEAN COMPRESS_QUERY1 29897 8 rows selected. select dbms_rowid.rowid_block_number(rowid),dbms_rowid.rowid_relative_fno(rowid) from hcc_maclean where owner='MACLEAN'; session A: update hcc_maclean set OBJECT_NAME=OBJECT_NAME||'DBM' where rowid='AAAThuAAEAAAHTJAOI'; session B: update hcc_maclean set OBJECT_NAME=OBJECT_NAME||'DBM' where rowid='AAAThuAAEAAAHTJAOJ'; SQL> select sid,wait_event_text,BLOCKER_SID from v$wait_chains; SID WAIT_EVENT_TEXT BLOCKER_SID ---------- ---------------------------------------------------------------- ----------- 13 enq: TX - row lock contention 136 136 SQL*Net message from client ????session A block B,????HCC???update row??CU?????CU?????? SQL> alter system checkpoint; System altered. SQL> / System altered. SQL> alter system dump datafile 4 block 29897 2 ; Block header dump: 0x010074c9 Object id on Block? Y seg/obj: 0x1386e csc: 0x00.1cad7e itc: 3 flg: E typ: 1 - DATA brn: 0 bdba: 0x10074c8 ver: 0x01 opc: 0 inc: 0 exflg: 0 Itl Xid Uba Flag Lck Scn/Fsc 0x01 0xffff.000.00000000 0x00000000.0000.00 C--- 0 scn 0x0000.001cabfa 0x02 0x000a.00a.00000430 0x00c051a7.0169.17 ---- 1 fsc 0x0000.00000000 0x03 0x0000.000.00000000 0x00000000.0000.00 ---- 0 fsc 0x0000.00000000 avsp=0x14 tosp=0x14 r0_9ir2=0x0 mec_kdbh9ir2=0x0 76543210 shcf_kdbh9ir2=---------- 76543210 flag_9ir2=--R----- Archive compression: Y fcls_9ir2[0]={ } 0x16:pti[0] nrow=1 offs=0 0x1a:pri[0] offs=0x30 block_row_dump: tab 0, row 0, @0x30 tl: 8016 fb: --H-F--N lb: 0x2 cc: 1 ==>??CU??ITL 0x02 nrid: 0x010074ca.0 col 0: [8004] Compression level: 02 (Query High) Length of CU row: 8004 kdzhrh: ------PC CBLK: 1 Start Slot: 00 NUMP: 01 PNUM: 00 POFF: 7984 PRID: 0x010074ca.0 CU header: CU version: 0 CU magic number: 0x4b445a30 CU checksum: 0xf8faf86e CU total length: 8694 CU flags: NC-U-CRD-OP ncols: 15 nrows: 995 algo: 0 CU decomp length: 8487 len/value length: 100111 row pieces per row: 1 num deleted rows: 1 deleted rows: 904, START_CU: ????????????row?????: SQL> select DBMS_COMPRESSION.GET_COMPRESSION_TYPE('SCOTT','HCC_MACLEAN','AAAThuAAEAAAHTJAOk') from dual; DBMS_COMPRESSION.GET_COMPRESSION_TYPE('SCOTT','HCC_MACLEAN','AAATHUAAEAAAHTJAOK' -------------------------------------------------------------------------------- 4 COMP_NOCOMPRESS CONSTANT NUMBER := 1;COMP_FOR_OLTP CONSTANT NUMBER := 2;COMP_FOR_QUERY_HIGH CONSTANT NUMBER := 4;COMP_FOR_QUERY_LOW CONSTANT NUMBER := 8;COMP_FOR_ARCHIVE_HIGH CONSTANT NUMBER := 16;COMP_FOR_ARCHIVE_LOW CONSTANT NUMBER := 32; COMP_RATIO_MINROWS CONSTANT NUMBER := 1000000;COMP_RATIO_ALLROWS CONSTANT NUMBER := -1; ?????????????,??COMP_FOR_QUERY_HIGH?4,COMP_FOR_QUERY_LOW ?8 ?????????GET_COMPRESSION_TYPE??rowid????????4?????COMP_FOR_QUERY_HIGH????: SQL> update hcc_maclean set OBJECT_NAME=OBJECT_NAME||'DBM' where owner='MACLEAN'; 8 rows updated. SQL> commit; Commit complete. SQL> select DBMS_COMPRESSION.GET_COMPRESSION_TYPE('SCOTT','HCC_MACLEAN',rowid) from HCC_MACLEAN where owner='MACLEAN'; DBMS_COMPRESSION.GET_COMPRESSION_TYPE('SCOTT','HCC_MACLEAN',ROWID) ------------------------------------------------------------------ 1 1 1 1 1 1 1 1 8 rows selected. ??????????????COMPRESSION_TYPE?COMP_FOR_QUERY_HIGH???COMP_NOCOMPRESS,????????compress for query high????????????????? ?11g????????????????????HCC??????????? ALTER TABLE MOVE???????????????????HCC??? SQL> ALTER TABLE hcc_MACLEAN move COMPRESS FOR ARCHIVE HIGH; Table altered. SQL> select DBMS_COMPRESSION.GET_COMPRESSION_TYPE('SCOTT','HCC_MACLEAN',rowid) from HCC_MACLEAN where owner='MACLEAN'; DBMS_COMPRESSION.GET_COMPRESSION_TYPE('SCOTT','HCC_MACLEAN',ROWID) ------------------------------------------------------------------ 16 16 16 16 16 16 16 16 8 rows selected.

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  • Oracle Exadata X3 Launch Webcast

    - by Cinzia Mascanzoni
    Available on-demand, this webcast covers everything your partners need to know about Oracle’s next-generation database machine. They will learn how to improve performance by storing multiple databases in memory, lower power and cooling costs by 30%, and easily deploy a cloud-based database service. Exadata X3 combines massive memory and low-cost disks to deliver the highest performance at the lowest cost. Partners won’t want to miss this webcast. Invite them to watch today! View and share the replay.

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  • cVidya’s MoneyMap Achieves Oracle Exadata Optimized Status

    - by Javier Puerta
    cVidya's MoneyMap running on Oracle Exadata provides extreme performance, including 4x-16x improvement in high data load rates, 4x faster data transformation and reconciliation, and query speeds - from a 2.5 billion record index –  improved from hours to few seconds! The MoneyMap solution enables operators to reconcile information from all network, operations and business support systems and through an on-going automated process, it detects problem areas which impact profitability as a result of revenue leakage, data inconsistencies or resources that are not being used efficiently. Once detected, MoneyMap provides tools to promptly correct and manage the problems to achieve profit maximization Learn more here.

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  • A Big Data korszakban, túl az 1000. eladott Oracle Exadata Database Machine adatbázisgépen

    - by user645740
    Mint azt már egy ideje a szél is fújja, beköszöntött a BIG DATA korszak, azaz egyre több adat gyulik, egyre több adattal gazdálkodunk. A hatalmas mennyiségu adat jó részét Oracle adatbázisokban tárolják. Mi is futtathatná jobban, gyorsabban és hetékonyabban ezeket az Oracle adatbázisokat, mint az Oracle stratégiai high-end megoldása az Oracle Exadata Database Machine? Rengeteg forrása van a sok adatnak, néhány példa, ahol a növekedés óriási: kommunikációs adatok, CDR-ek banki és kormányzati tranzakciók hely információk spatial, location, GPS,..., mint ahogyan a közelmúltban az egyes telefonokkal ésoperációs rendszerekkel kapcsolatos "ügyekben" is olvashattuk, e-mail-ek, közösségi site-ok, intelligens méromuszerek, háztartási berendezések, .... Milyen ütemben no az Exadata értékesítés? Nos az Exadata 2008 oszén lett bejelentve. Az Oracle pénzügyi év végén a jelentésben azt olvashatjuk, hogy az Exadata páratlanul sikeres megoldás, már több mint 1000 Exadatát vásároltak meg az Oracle ügyfelek, mondta Mark Hurd, az Oracle alelnöke:   “In addition to record setting software sales, our Exadata and Exalogic systems also made a strong contribution to our growth in Q4,” said Oracle President, Mark Hurd. “Today there are more than 1,000 Exadata machines installed worldwide. Our goal is to triple that number in FY12.” Larry Ellison, az Oracle elso embere, azt nyilatkozta, hogy mind a felho - cloud computing, mind a memória-adatbázisok területén egyre gyorsabban növekszik az Oracle:   “In FY11 Oracle’s database business experienced its fastest growth in a decade,” said Oracle CEO, Larry Ellison. “Over the past few years we added features to the Oracle database for both cloud computing and in-memory databases that led to increased database sales this past year. Lately we’ve been focused on the big business opportunity presented by Big Data.” A Big Data korszakban  megtakarításokat érhetünk el az Exadatával, tekintse meg a következo videót, de óvatosan, mert gondolkodásra késztet:    -   Oracle Exadata: Are You Ready?.

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  • Exadata X3 In-Memory Database Machine: To be or not to be

    - by Luis Moreno Campos
    Since Larry Ellison announced Oracle Exadata X3 as the new generation of the Database Machine, he established the product in the In-Memory Database arena. And that annoyed some people. We all know that In-Memory Databases are the ones that *only* execute in memory and use the other layers of storage for persistency (mainly disk). Oracle database has always been a technology that uses memory as a caching mechanism and that hasn't change nor it will change with Oracle Database 12c. So this is the central point of fuss when it comes to announcing an Engineered Systems as In-Memory Database, when in fact it still runs Oracle Database, not vanilla but still the same product. Let me tell you purist people out there: when you find no new ground breaking point to get all excited about you decide to bash it, and go against its claims. It's not like a car manufacturer that launches a mini-van in the market and calls it a Sports Car, we are talking about a fundamental change in the ILM stack: level 2 of caching is now self sufficient. It's not DRAM? Who cares, still let's you put in flash amounts of data not done up until now, so I guess Oracle can name it whatever Larry wants because in the end it's something never done before. Now let's imagine that you hop on the pure In-Memory Database bandwagon. You would be stuck with a database technology that lags behind the Oracle Database hundreds of light years in man/hours innovations and features. Do you really want to travel back in time? Remember, the first rule about time travelling is that "Security is not Guaranteed". Your choice. LMC

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  • Exadata???DiskGroup

    - by Liu Maclean(???)
    Exadata???Asm Diskgroup ???????: 1.??dcli -g /home/oracle/cell_group -l root cellcli -e list griddisk ????active?griddisk [root@dm01db01 ~]# dcli -g /home/oracle/cell_group -l root cellcli -e list griddisk dm01cel01: DATA_DM01_CD_00_dm01cel01 active dm01cel01: DATA_DM01_CD_01_dm01cel01 active dm01cel01: DATA_DM01_CD_02_dm01cel01 active dm01cel01: DATA_DM01_CD_03_dm01cel01 active dm01cel01: DATA_DM01_CD_04_dm01cel01 active dm01cel01: DATA_DM01_CD_05_dm01cel01 active dm01cel01: DATA_DM01_CD_06_dm01cel01 active dm01cel01: DATA_DM01_CD_07_dm01cel01 active dm01cel01: DATA_DM01_CD_08_dm01cel01 active dm01cel01: DATA_DM01_CD_09_dm01cel01 active dm01cel01: DATA_DM01_CD_10_dm01cel01 active dm01cel01: DATA_DM01_CD_11_dm01cel01 active dm01cel01: DBFS_DG_CD_02_dm01cel01 active dm01cel01: DBFS_DG_CD_03_dm01cel01 active dm01cel01: DBFS_DG_CD_04_dm01cel01 active dm01cel01: DBFS_DG_CD_05_dm01cel01 active dm01cel01: DBFS_DG_CD_06_dm01cel01 active dm01cel01: DBFS_DG_CD_07_dm01cel01 active dm01cel01: DBFS_DG_CD_08_dm01cel01 active dm01cel01: DBFS_DG_CD_09_dm01cel01 active dm01cel01: DBFS_DG_CD_10_dm01cel01 active dm01cel01: DBFS_DG_CD_11_dm01cel01 active dm01cel01: RECO_DM01_CD_00_dm01cel01 active dm01cel01: RECO_DM01_CD_01_dm01cel01 active dm01cel01: RECO_DM01_CD_02_dm01cel01 active dm01cel01: RECO_DM01_CD_03_dm01cel01 active dm01cel01: RECO_DM01_CD_04_dm01cel01 active dm01cel01: RECO_DM01_CD_05_dm01cel01 active dm01cel01: RECO_DM01_CD_06_dm01cel01 active dm01cel01: RECO_DM01_CD_07_dm01cel01 active dm01cel01: RECO_DM01_CD_08_dm01cel01 active dm01cel01: RECO_DM01_CD_09_dm01cel01 active dm01cel01: RECO_DM01_CD_10_dm01cel01 active dm01cel01: RECO_DM01_CD_11_dm01cel01 active dm01cel02: DATA_DM01_CD_00_dm01cel02 active dm01cel02: DATA_DM01_CD_01_dm01cel02 active dm01cel02: DATA_DM01_CD_02_dm01cel02 active dm01cel02: DATA_DM01_CD_03_dm01cel02 active dm01cel02: DATA_DM01_CD_04_dm01cel02 active dm01cel02: DATA_DM01_CD_05_dm01cel02 active dm01cel02: DATA_DM01_CD_06_dm01cel02 active dm01cel02: DATA_DM01_CD_07_dm01cel02 active dm01cel02: DATA_DM01_CD_08_dm01cel02 active dm01cel02: DATA_DM01_CD_09_dm01cel02 active dm01cel02: DATA_DM01_CD_10_dm01cel02 active dm01cel02: DATA_DM01_CD_11_dm01cel02 active dm01cel02: DBFS_DG_CD_02_dm01cel02 active dm01cel02: DBFS_DG_CD_03_dm01cel02 active dm01cel02: DBFS_DG_CD_04_dm01cel02 active dm01cel02: DBFS_DG_CD_05_dm01cel02 active dm01cel02: DBFS_DG_CD_06_dm01cel02 active dm01cel02: DBFS_DG_CD_07_dm01cel02 active dm01cel02: DBFS_DG_CD_08_dm01cel02 active dm01cel02: DBFS_DG_CD_09_dm01cel02 active dm01cel02: DBFS_DG_CD_10_dm01cel02 active dm01cel02: DBFS_DG_CD_11_dm01cel02 active dm01cel02: RECO_DM01_CD_00_dm01cel02 active dm01cel02: RECO_DM01_CD_01_dm01cel02 active dm01cel02: RECO_DM01_CD_02_dm01cel02 active dm01cel02: RECO_DM01_CD_03_dm01cel02 active dm01cel02: RECO_DM01_CD_04_dm01cel02 active dm01cel02: RECO_DM01_CD_05_dm01cel02 active dm01cel02: RECO_DM01_CD_06_dm01cel02 active dm01cel02: RECO_DM01_CD_07_dm01cel02 active dm01cel02: RECO_DM01_CD_08_dm01cel02 active dm01cel02: RECO_DM01_CD_09_dm01cel02 active dm01cel02: RECO_DM01_CD_10_dm01cel02 active dm01cel02: RECO_DM01_CD_11_dm01cel02 active dm01cel03: DATA_DM01_CD_00_dm01cel03 active dm01cel03: DATA_DM01_CD_01_dm01cel03 active dm01cel03: DATA_DM01_CD_02_dm01cel03 active dm01cel03: DATA_DM01_CD_03_dm01cel03 active dm01cel03: DATA_DM01_CD_04_dm01cel03 active dm01cel03: DATA_DM01_CD_05_dm01cel03 active dm01cel03: DATA_DM01_CD_06_dm01cel03 active dm01cel03: DATA_DM01_CD_07_dm01cel03 active dm01cel03: DATA_DM01_CD_08_dm01cel03 active dm01cel03: DATA_DM01_CD_09_dm01cel03 active dm01cel03: DATA_DM01_CD_10_dm01cel03 active dm01cel03: DATA_DM01_CD_11_dm01cel03 active dm01cel03: DBFS_DG_CD_02_dm01cel03 active dm01cel03: DBFS_DG_CD_03_dm01cel03 active dm01cel03: DBFS_DG_CD_04_dm01cel03 active dm01cel03: DBFS_DG_CD_05_dm01cel03 active dm01cel03: DBFS_DG_CD_06_dm01cel03 active dm01cel03: DBFS_DG_CD_07_dm01cel03 active dm01cel03: DBFS_DG_CD_08_dm01cel03 active dm01cel03: DBFS_DG_CD_09_dm01cel03 active dm01cel03: DBFS_DG_CD_10_dm01cel03 active dm01cel03: DBFS_DG_CD_11_dm01cel03 active dm01cel03: RECO_DM01_CD_00_dm01cel03 active dm01cel03: RECO_DM01_CD_01_dm01cel03 active dm01cel03: RECO_DM01_CD_02_dm01cel03 active dm01cel03: RECO_DM01_CD_03_dm01cel03 active dm01cel03: RECO_DM01_CD_04_dm01cel03 active dm01cel03: RECO_DM01_CD_05_dm01cel03 active dm01cel03: RECO_DM01_CD_06_dm01cel03 active dm01cel03: RECO_DM01_CD_07_dm01cel03 active dm01cel03: RECO_DM01_CD_08_dm01cel03 active dm01cel03: RECO_DM01_CD_09_dm01cel03 active dm01cel03: RECO_DM01_CD_10_dm01cel03 active dm01cel03: RECO_DM01_CD_11_dm01cel03 active ??????????griddisk, ?????’cellcli -e drop griddisk’ ?’cellcli -e create griddisk’????griddisk ,??????drop DBFS_DG???griddisk 2.??ASM???create disk group ?????CELL?IP,????????????? [root@dm01db02 ~]# cat /etc/oracle/cell/network-config/cellip.ora cell="192.168.64.131" cell="192.168.64.132" cell="192.168.64.133" SQL> create diskgroup DATA_MAC normal redundancy 2 DISK 3 'o/192.168.64.131/RECO_DM01_CD_*_dm01cel01' 4 ,'o/192.168.64.132/RECO_DM01_CD_*_dm01cel02' 5 ,'o/192.168.64.133/RECO_DM01_CD_*_dm01cel03' 6 attribute 7 'AU_SIZE'='4M', 8 'CELL.SMART_SCAN_CAPABLE'='TRUE', 9 'compatible.rdbms'='11.2.0.2', 10 'compatible.asm'='11.2.0.2' 11 / 3. MOUNT ???DISKGROUP ALTER DISKGROUP DATA_MAC mount ; 4.???crsctl start/stop resource ora.DATA_MAC.dg ?????

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  • who are the goldengate extract users

    - by sharif
    I am setting up golden gate, this installation guide is quite confusing as it refers to steps which have not been done or already done previously. I am on step 4.8.1 on the ''oracle installation guide''. I is asking for ''Extract'' user name. I do not recall creating such other than the goldengate user. Also what are the other four users it refers to as in 4.6 Extract Replicat Manager DEFGEN what is the usernames for each of these in the db?

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  • Sun Oracle Database Machine a román Banca Transilvaniánál

    - by Fekete Zoltán
    Oracle sajtóhír: Banca Transilvania, first institution in Romania to use Sun Oracle Database Machine (English version) Sikersztori, ügyféltörténet pdf-ben. Az Database Machine V2 megjelenését 2009 szeptemberben jelentette az Oracle. A világon az elso bank, ahol már élesben muködik a Database Machine V2, a romániai Banca Transilvania! Olvassa el a sajtóhírt. A Banca Transilvania 1,5 milló ügyféllel rendelkezik. "This system, product of Oracle and Sun, is the fastest server in the world for data storage, online transactions processing and data warehousing applications." Robert C. Rekkers, Banca Transilvania CEO, ezt nyilatkozta:"Business information is accessed 30 times faster using the new system, leading to quicker decisions and a better data base segmentation", azaz a Database Machine segítségével az üzleti kérséseket 30-szor gyorsabban tudják megválaszolni, mint a korábbi rendszerrel. Leontin Toderici, Banca Transilvania COO mondta a következot: "The acquisition price was excellent, as the costs were below those of an ordinary system", azaz a rendszer ára kiváló volt, kisebb volt a kötsége, mint a hagyományos rendszereké. Sorin Mindrutescu, az Oracle Romania vezetoje büszke arra, hogy egy romániai cég is az innovatív rendszer felhasználói között lehet.: "Oracle Exadata V2 is the result of over 30 years of experience in hardware and software development of two leader companies. I am glad that a top Romanian company is amongst the first in the world to use this innovative product." Az Exadata termékcsalád és a Database Machine kiváló eszköz OLTP rendszerek, adattárházak, konszolidációs megoldások adatbázisainak futtatására. Egy csomagban a tartalmazza a szoftvert és az "okos" hardvert, az adatfeldoldozó, a tároló (storage) komponenseket, mindezt az extrém gyors Infiniband kapcsolatokkal összekötve. A Banca Transilvani az Oracle readingi (Nagy-Britannia) központjában tesztelte a Database Machine rendszert, s a korábbi rendszernél tízszer, néhol hetvenkettoször gyorsabb teljesítményt kaptak, 10-72-szeres teljesítménynövekedés!, említette Tudor Iliescu, Trend Import - Export CEO. A központi Oracle sajtóhír: Customers Select Oracle® Exadata for Extreme Performance of Data Warehouse and OLTP Applications

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  • ?Exadata??????DBFS

    - by Liu Maclean(???)
    ?Exadata???DBFS ??????? 1. ??fuse RPM  [root@dm01db01 ~]# yum install fuse Loaded plugins: rhnplugin, security This system is not registered with ULN. ULN support will be disabled. Setting up Install Process Resolving Dependencies --> Running transaction check ---> Package fuse.x86_64 0:2.7.4-8.0.1.el5 set to be updated --> Finished Dependency Resolution Dependencies Resolved ========================================================================================================================================================================  Package                            Arch                                 Version                                         Repository                                Size ======================================================================================================================================================================== Installing:  fuse                               x86_64                               2.7.4-8.0.1.el5                                 el5_latest                                85 k Transaction Summary ======================================================================================================================================================================== Install       1 Package(s) Upgrade       0 Package(s) Total download size: 85 k Is this ok [y/N]: y Downloading Packages: fuse-2.7.4-8.0.1.el5.x86_64.rpm                                                                                                                  |  85 kB     00:00      Running rpm_check_debug Running Transaction Test Finished Transaction Test Transaction Test Succeeded Running Transaction   Installing     : fuse                                                                                                                                             1/1  Installed:   fuse.x86_64 0:2.7.4-8.0.1.el5                                                                                                                                          [root@dm01db01 ~]# yum install fuse-libs Loaded plugins: rhnplugin, security This system is not registered with ULN. ULN support will be disabled. Setting up Install Process Resolving Dependencies --> Running transaction check ---> Package fuse-libs.i386 0:2.7.4-8.0.1.el5 set to be updated ---> Package fuse-libs.x86_64 0:2.7.4-8.0.1.el5 set to be updated --> Finished Dependency Resolution Dependencies Resolved ========================================================================================================================================================================  Package                                Arch                                Version                                       Repository                               Size ======================================================================================================================================================================== Installing:  fuse-libs                              i386                                2.7.4-8.0.1.el5                               el5_latest                               71 k  fuse-libs                              x86_64                              2.7.4-8.0.1.el5                               el5_latest                               70 k Transaction Summary ======================================================================================================================================================================== Install       2 Package(s) Upgrade       0 Package(s) Total download size: 141 k Is this ok [y/N]: y Downloading Packages: (1/2): fuse-libs-2.7.4-8.0.1.el5.x86_64.rpm                                                                                                      |  70 kB     00:00      (2/2): fuse-libs-2.7.4-8.0.1.el5.i386.rpm                                                                                                        |  71 kB     00:00      ------------------------------------------------------------------------------------------------------------------------------------------------------------------------ Total                                                                                                                                    71 kB/s | 141 kB     00:01      Running rpm_check_debug Running Transaction Test Finished Transaction Test Transaction Test Succeeded Running Transaction   Installing     : fuse-libs                                                                                                                                        1/2    Installing     : fuse-libs                                                                                                                                        2/2  Installed:   fuse-libs.i386 0:2.7.4-8.0.1.el5                                                  fuse-libs.x86_64 0:2.7.4-8.0.1.el5                                                  Complete! [root@dm01db01 ~]# yum install fuse-devel Loaded plugins: rhnplugin, security This system is not registered with ULN. ULN support will be disabled. Setting up Install Process Resolving Dependencies --> Running transaction check ---> Package fuse-devel.i386 0:2.7.4-8.0.1.el5 set to be updated ---> Package fuse-devel.x86_64 0:2.7.4-8.0.1.el5 set to be updated --> Finished Dependency Resolution Dependencies Resolved ========================================================================================================================================================================  Package                                 Arch                                Version                                      Repository                               Size ======================================================================================================================================================================== Installing:  fuse-devel                              i386                                2.7.4-8.0.1.el5                              el5_latest                               28 k  fuse-devel                              x86_64                              2.7.4-8.0.1.el5                              el5_latest                               28 k Transaction Summary ======================================================================================================================================================================== Install       2 Package(s) Upgrade       0 Package(s) Total download size: 57 k Is this ok [y/N]: y Downloading Packages: (1/2): fuse-devel-2.7.4-8.0.1.el5.x86_64.rpm                                                                                                     |  28 kB     00:00      (2/2): fuse-devel-2.7.4-8.0.1.el5.i386.rpm                                                                                                       |  28 kB     00:00      ------------------------------------------------------------------------------------------------------------------------------------------------------------------------ Total                                                                                                                                    21 kB/s |  57 kB     00:02      Running rpm_check_debug Running Transaction Test Finished Transaction Test Transaction Test Succeeded Running Transaction   Installing     : fuse-devel                                                                                                                                       1/2    Installing     : fuse-devel                                                                                                                                       2/2  Installed:   fuse-devel.i386 0:2.7.4-8.0.1.el5                                                 fuse-devel.x86_64 0:2.7.4-8.0.1.el5                                                 Complete! 2. ?? DBFS??? ?????? cd $ORACLE_HOME/rdbms/admin sqlplus / as sysdba Oracle Database 11g Enterprise Edition Release 11.2.0.3.0 - 64bit Production With the Partitioning, Real Application Clusters, Automatic Storage Management, OLAP, Data Mining and Real Application Testing options SQL> @prvtfspi.plb Package body created. No errors. Package body created. No errors. ?????dbms_dbfs_sfs package  SQL> create tablespace dbfstbs datafile size 20g; Tablespace created. SQL> create user maclean_dbfs identified by oracle; User created. SQL> grant dba to maclean_dbfs; Grant succeeded. @@!!! SQL> grant  dbfs_role to maclean_dbfs; Grant succeeded. 3. ??DBFS SQL> conn maclean_dbfs/oracle Connected. SQL> @?/rdbms/admin/dbfs_create_filesystem.sql  dbfstbs mac_dbfs   No errors. -------- CREATE STORE: begin dbms_dbfs_sfs.createFilesystem(store_name => 'FS_MAC_DBFS', tbl_name => 'T_MAC_DBFS', tbl_tbs => 'dbfstbs', lob_tbs => 'dbfstbs', do_partition => false, partition_key => 1, do_compress => false, compression => '', do_dedup => false, do_encrypt => false); end; -------- REGISTER STORE: begin dbms_dbfs_content.registerStore(store_name=> 'FS_MAC_DBFS', provider_name => 'sample1', provider_package => 'dbms_dbfs_sfs'); end; -------- MOUNT STORE: begin dbms_dbfs_content.mountStore(store_name=>'FS_MAC_DBFS', store_mount=>'mac_dbfs'); end; -------- CHMOD STORE: declare m integer; begin m := dbms_fuse.fs_chmod('/mac_dbfs', 16895); end; No errors. 4.  ??mount point  [root@dm01db01 ~]# mkdir /dbfs [root@dm01db01 ~]# chown oracle:oinstall /dbfs 5. ??library path ?OS  # echo "/usr/local/lib" >> /etc/ld.so.conf.d/usr_local_lib.conf 6. ?????? export ORACLE_HOME=/s01/orabase/product/11.2.0/dbhome_1 [root@dm01db01 ~]# ln -s $ORACLE_HOME/lib/libclntsh.so.11.1 /usr/local/lib/libclntsh.so.11.1 [root@dm01db01 ~]#  ln -s $ORACLE_HOME/lib/libnnz11.so /usr/local/lib/libnnz11.so [root@dm01db01 ~]#  ln -s /lib64/libfuse.so.2 /usr/local/lib/libfuse.so.2 7. ??ldconfig  [root@dm01db01 ~]# ldconfig [root@dm01db01 ~]#  8. ??fusermount??????? [root@dm01db01 ~]#  chmod +x /usr/bin/fusermount [root@dm01db01 ~]#  ls -l /usr/bin/fusermount lrwxrwxrwx 1 root root 15 Sep  7 03:06 /usr/bin/fusermount -> /bin/fusermount [root@dm01db01 ~]#  ls -l /bin/fusermount -rwsr-x--x 1 root fuse 27072 Oct 17  2011 /bin/fusermount 9. ???????OS  dbfs_client maclean_dbfs@dm01db01:1521/orcl  /dbfs 10. ????nohup + &?????mount DBFS,???????????? [oracle@dm01db01 ~]$ echo "oracle"  >> dbfs_pw [oracle@dm01db01 ~]$ nohup dbfs_client maclean_dbfs@dm01db01:1521/orcl /dbfs < dbfs_pw & [oracle@dm01db01 ~]$ df -h Filesystem            Size  Used Avail Use% Mounted on /dev/mapper/VGExaDb-LVDbSys1                        30G   15G   14G  53% / /dev/sda1             502M   30M  447M   7% /boot /dev/mapper/VGExaDb-LVDbOra1                        99G   20G   75G  21% /u01 tmpfs                  81G     0   81G   0% /dev/shm dbfs-maclean_dbfs@orcl:/                        20G  120K   20G   1% /dbfs [oracle@dm01db01 ~]$ mount /dev/mapper/VGExaDb-LVDbSys1 on / type ext3 (rw) proc on /proc type proc (rw) sysfs on /sys type sysfs (rw) devpts on /dev/pts type devpts (rw,gid=5,mode=620) /dev/sda1 on /boot type ext3 (rw,nodev) /dev/mapper/VGExaDb-LVDbOra1 on /u01 type ext3 (rw,nodev) tmpfs on /dev/shm type tmpfs (rw,size=82052m) none on /proc/sys/fs/binfmt_misc type binfmt_misc (rw) dbfs-maclean_dbfs@orcl:/ on /dbfs type fuse (rw,nosuid,nodev,max_read=1048576,default_permissions,user=oracle) [oracle@dm01db01 ~]$ ls -l /dbfs/ total 0 drwxrwxrwx 3 root root 0 Sep 14 05:11 mac_dbfs [oracle@nas ~]$ dbfs_client  --------MOUNT mode: usage: dbfs_client <db_user>@<db_server> [options] <mountpoint>   db_user:              Name of Database user that owns DBFS content repository filesystem(s)   db_server:            A valid connect string for Oracle database server                         (for example, hrdb_host:1521/hrservice)   mountpoint:           Path to mount Database File System(s)                         All the file systems owned by the database user will be seen at the mountpoint. DBFS options:   -o direct_io          Bypass the Linux page cache. Gives much better performance for large files.                         Programs in the file system cannot be executed with this option.                         This option is recommended when DBFS is used as an ETL staging area.   -o wallet             Run dbfs_client in background.                         Wallet must be configured to get credentials.   -o failover           dbfs_client fails over to surviving database instance with no data loss.                         Some performance cost on writes, especially for small files.   -o allow_root         Allows root access to the filesystem.                         This option requires setting 'user_allow_other' parameter in '/etc/fuse.conf'.   -o allow_other        Allows other users access to the file system.                         This option requires setting 'user_allow_other' parameter in '/etc/fuse.conf'.   -o rw                 Mount the filesystem read-write. [Default]   -o ro                 Mount the filesystem read-only. Files cannot be modified.   -o trace_file=STR     Tracing <filename> | 'syslog'   -o trace_level=N      Trace Level: 1->DEBUG, 2->INFO, 3->WARNING, 4->ERROR, 5->CRITICAL [Default: 4]   -h                    help   -V                    version --------COMMAND mode: Usage:     dbfs_client <db_user>@<db_server> --command command [switches] [arguments]             command:          Command to be executed, e.g., ls, cp, mkdir, rm            switches:         Switches are described below for each command.            arguments:        File names or directory names NOTE:      All database pathnames must be absolute and preceded by dbfs:/ Commands   ls            dbfs_client <db_user>@<db_server> --command ls [switches] target      Switches:              -a         Show all files including those starting with '.'            -l         Use a long listing format. In addition to the name of each file                       print the file type, permissions, size, user and group information            -R         List subdirectories recursively cp                     dbfs_client <db_user>@<db_server> --command cp [switches] source destination      Switches:              -r, -R      Copy a directory and its contents recursively into the destination directory rm                     dbfs_client <db_user>@<db_server> --command rm [switches] target      Switches:              -r, -R      Removes a directory and its contents recursively mkdir                  dbfs_client <db_user>@<db_server> --command mkdir directory_name Examples                     dbfs_client ETLUser@DBConnectString --command ls -l -a dbfs:/staging_area/directory1            dbfs_client ETLUser@DBConnectString --command cp -R  /tmp/1-Jan-2009-dump dbfs:/staging_area            dbfs_client ETLUser@DBConnectString --command rm dbfs:/staging_area/hello.txt            dbfs_client ETLUser@DBConnectString --command mkdir dbfs:/staging_area/directory2 [oracle@dm01db01 ~]$ ls -lh /tmp/largefile -rw-r--r-- 1 oracle oinstall 2.0G Sep 14 08:50 /tmp/largefile [oracle@dm01db01 ~]$ time dbfs_client  maclean_dbfs@dm01db01:1521/orcl --command cp /tmp/largefile dbfs:/mac_dbfs Password: /tmp/largefile -> dbfs:/mac_dbfs/largefile real    0m11.802s user    0m0.580s sys     0m2.375s ?Exadata?????2G?????? DBFS???11s => 200MB/s 

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  • Oracle Data Integrator 11.1.1.5 Complex Files as Sources and Targets

    - by Alex Kotopoulis
    Overview ODI 11.1.1.5 adds the new Complex File technology for use with file sources and targets. The goal is to read or write file structures that are too complex to be parsed using the existing ODI File technology. This includes: Different record types in one list that use different parsing rules Hierarchical lists, for example customers with nested orders Parsing instructions in the file data, such as delimiter types, field lengths, type identifiers Complex headers such as multiple header lines or parseable information in header Skipping of lines  Conditional or choice fields Similar to the ODI File and XML File technologies, the complex file parsing is done through a JDBC driver that exposes the flat file as relational table structures. Complex files are mapped to one or more table structures, as opposed to the (simple) file technology, which always has a one-to-one relationship between file and table. The resulting set of tables follows the same concept as the ODI XML driver, table rows have additional PK-FK relationships to express hierarchy as well as order values to maintain the file order in the resulting table.   The parsing instruction format used for complex files is the nXSD (native XSD) format that is already in use with Oracle BPEL. This format extends the XML Schema standard by adding additional parsing instructions to each element. Using nXSD parsing technology, the native file is converted into an internal XML format. It is important to understand that the XML is streamed to improve performance; there is no size limitation of the native file based on memory size, the XML data is never fully materialized.  The internal XML is then converted to relational schema using the same mapping rules as the ODI XML driver. How to Create an nXSD file Complex file models depend on the nXSD schema for the given file. This nXSD file has to be created using a text editor or the Native Format Builder Wizard that is part of Oracle BPEL. BPEL is included in the ODI Suite, but not in standalone ODI Enterprise Edition. The nXSD format extends the standard XSD format through nxsd attributes. NXSD is a valid XML Schema, since the XSD standard allows extra attributes with their own namespaces. The following is a sample NXSD schema: <?xml version="1.0"?> <xsd:schema xmlns:xsd="http://www.w3.org/2001/XMLSchema" xmlns:nxsd="http://xmlns.oracle.com/pcbpel/nxsd" elementFormDefault="qualified" xmlns:tns="http://xmlns.oracle.com/pcbpel/demoSchema/csv" targetNamespace="http://xmlns.oracle.com/pcbpel/demoSchema/csv" attributeFormDefault="unqualified" nxsd:encoding="US-ASCII" nxsd:stream="chars" nxsd:version="NXSD"> <xsd:element name="Root">         <xsd:complexType><xsd:sequence>       <xsd:element name="Header">                 <xsd:complexType><xsd:sequence>                         <xsd:element name="Branch" type="xsd:string" nxsd:style="terminated" nxsd:terminatedBy=","/>                         <xsd:element name="ListDate" type="xsd:string" nxsd:style="terminated" nxsd:terminatedBy="${eol}"/>                         </xsd:sequence></xsd:complexType>                         </xsd:element>                 </xsd:sequence></xsd:complexType>         <xsd:element name="Customer" maxOccurs="unbounded">                 <xsd:complexType><xsd:sequence>                 <xsd:element name="Name" type="xsd:string" nxsd:style="terminated" nxsd:terminatedBy=","/>                         <xsd:element name="Street" type="xsd:string" nxsd:style="terminated" nxsd:terminatedBy="," />                         <xsd:element name="City" type="xsd:string" nxsd:style="terminated" nxsd:terminatedBy="${eol}" />                         </xsd:sequence></xsd:complexType>                         </xsd:element>                 </xsd:sequence></xsd:complexType> </xsd:element> </xsd:schema> The nXSD schema annotates elements to describe their position and delimiters within the flat text file. The schema above uses almost exclusively the nxsd:terminatedBy instruction to look for the next terminator chars. There are various constructs in nXSD to parse fixed length fields, look ahead in the document for string occurences, perform conditional logic, use variables to remember state, and many more. nXSD files can either be written manually using an XML Schema Editor or created using the Native Format Builder Wizard. Both Native Format Builder Wizard as well as the nXSD language are described in the Application Server Adapter Users Guide. The way to start the Native Format Builder in BPEL is to create a new File Adapter; in step 8 of the Adapter Configuration Wizard a new Schema for Native Format can be created:   The Native Format Builder guides through a number of steps to generate the nXSD based on a sample native file. If the format is complex, it is often a good idea to “approximate” it with a similar simple format and then add the complex components manually.  The resulting *.xsd file can be copied and used as the format for ODI, other BPEL constructs such as the file adapter definition are not relevant for ODI. Using this technique it is also possible to parse the same file format in SOA Suite and ODI, for example using SOA for small real-time messages, and ODI for large batches. This nXSD schema in this example describes a file with a header row containing data and 3 string fields per row delimited by commas, for example: Redwood City Downtown Branch, 06/01/2011 Ebeneezer Scrooge, Sandy Lane, Atherton Tiny Tim, Winton Terrace, Menlo Park The ODI Complex File JDBC driver exposes the file structure through a set of relational tables with PK-FK relationships. The tables for this example are: Table ROOT (1 row): ROOTPK Primary Key for root element SNPSFILENAME Name of the file SNPSFILEPATH Path of the file SNPSLOADDATE Date of load Table HEADER (1 row): ROOTFK Foreign Key to ROOT record ROWORDER Order of row in native document BRANCH Data BRANCHORDER Order of Branch within row LISTDATE Data LISTDATEORDER Order of ListDate within row Table ADDRESS (2 rows): ROOTFK Foreign Key to ROOT record ROWORDER Order of row in native document NAME Data NAMEORDER Oder of Name within row STREET Data STREETORDER Order of Street within row CITY Data CITYORDER Order of City within row Every table has PK and/or FK fields to reflect the document hierarchy through relationships. In this example this is trivial since the HEADER and all CUSTOMER records point back to the PK of ROOT. Deeper nested documents require this to identify parent elements. All tables also have a ROWORDER field to define the order of rows, as well as order fields for each column, in case the order of columns varies in the original document and needs to be maintained. If order is not relevant, these fields can be ignored. How to Create an Complex File Data Server in ODI After creating the nXSD file and a test data file, and storing it on the local file system accessible to ODI, you can go to the ODI Topology Navigator to create a Data Server and Physical Schema under the Complex File technology. This technology follows the conventions of other ODI technologies and is very similar to the XML technology. The parsing settings such as the source native file, the nXSD schema file, the root element, as well as the external database can be set in the JDBC URL: The use of an external database defined by dbprops is optional, but is strongly recommended for production use. Ideally, the staging database should be used for this. Also, when using a complex file exclusively for read purposes, it is recommended to use the ro=true property to ensure the file is not unnecessarily synchronized back from the database when the connection is closed. A data file is always required to be present  at the filename path during design-time. Without this file, operations like testing the connection, reading the model data, or reverse engineering the model will fail.  All properties of the Complex File JDBC Driver are documented in the Oracle Fusion Middleware Connectivity and Knowledge Modules Guide for Oracle Data Integrator in Appendix C: Oracle Data Integrator Driver for Complex Files Reference. David Allan has created a great viewlet Complex File Processing - 0 to 60 which shows the creation of a Complex File data server as well as a model based on this server. How to Create Models based on an Complex File Schema Once physical schema and logical schema have been created, the Complex File can be used to create a Model as if it were based on a database. When reverse-engineering the Model, data stores(tables) for each XSD element of complex type will be created. Use of complex files as sources is straightforward; when using them as targets it has to be made sure that all dependent tables have matching PK-FK pairs; the same applies to the XML driver as well. Debugging and Error Handling There are different ways to test an nXSD file. The Native Format Builder Wizard can be used even if the nXSD wasn’t created in it; it will show issues related to the schema and/or test data. In ODI, the nXSD  will be parsed and run against the existing test XML file when testing a connection in the Dataserver. If either the nXSD has an error or the data is non-compliant to the schema, an error will be displayed. Sample error message: Error while reading native data. [Line=1, Col=5] Not enough data available in the input, when trying to read data of length "19" for "element with name D1" from the specified position, using "style" as "fixedLength" and "length" as "". Ensure that there is enough data from the specified position in the input. Complex File FAQ Is the size of the native file limited by available memory? No, since the native data is streamed through the driver, only the available space in the staging database limits the size of the data. There are limits on individual field sizes, though; a single large object field needs to fit in memory. Should I always use the complex file driver instead of the file driver in ODI now? No, use the file technology for all simple file parsing tasks, for example any fixed-length or delimited files that just have one row format and can be mapped into a simple table. Because of its narrow assumptions the ODI file driver is easy to configure within ODI and can stream file data without writing it into a database. The complex file driver should be used whenever the use case cannot be handled through the file driver. Are we generating XML out of flat files before we write it into a database? We don’t materialize any XML as part of parsing a flat file, either in memory or on disk. The data produced by the XML parser is streamed in Java objects that just use XSD-derived nXSD schema as its type system. We use the nXSD schema because is the standard for describing complex flat file metadata in Oracle Fusion Middleware, and enables users to share schemas across products. Is the nXSD file interchangeable with SOA Suite? Yes, ODI can use the same nXSD files as SOA Suite, allowing mixed use cases with the same data format. Can I start the Native Format Builder from the ODI Studio? No, the Native Format Builder has to be started from a JDeveloper with BPEL instance. You can get BPEL as part of the SOA Suite bundle. Users without SOA Suite can manually develop nXSD files using XSD editors. When is the database data written back to the native file? Data is synchronized using the SYNCHRONIZE and CREATE FILE commands, and when the JDBC connection is closed. It is recommended to set the ro or read_only property to true when a file is exclusively used for reading so that no unnecessary write-backs occur. Is the nXSD metadata part of the ODI Master or Work Repository? No, the data server definition in the master repository only contains the JDBC URL with file paths; the nXSD files have to be accessible on the file systems where the JDBC driver is executed during production, either by copying or by using a network file system. Where can I find sample nXSD files? The Application Server Adapter Users Guide contains nXSD samples for various different use cases.

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