Newsletter 4/2014 Oktober 2014 Data Guard in Oracle 12c Adaptive Bitmap Pruning Oracle RAC 12c Oracle Net Encryption

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1 Swiss Oracle user group Newsletter 4/2014 Oktober 2014 Data Guard in Oracle 12c Adaptive Bitmap Pruning Oracle RAC 12c Oracle Net Encryption

2 rédaction: éditeur, publicité: abonnements: CHF 9. / 6.50 Nr November 2012 novembre 2012 Abo-Hotline 061/ , Verlag/Redaktion 044/ Preis: CHF 9. / 6.50 Das Schweizer ICT-Magazin für Business-Entscheider le magazine suisse des technologies de l information pour l entreprise Ciprian Popoviciu, Nephos6: «Je später die Umstellung auf IPv6 erfolgt, desto kostspieliger wird sie» > Seite 17 Dario Casari, Samsung: «Es kann leistungsschwächere Note - books ersetzen und ist gleichzeitig mobil wie ein Tablet» > Seite 38 Yves Flückiger, Triple Eye: «Nicht die Technik ist entscheidend, sondern das Verständnis des eigentlichen Problems» > Seite 44 G. Houlier, Details et A. Qureshi, Cambridge Technology Partners: «L un avec l autre, nous sommes meilleurs» > page 12 Jacques Hussy, SMP: «Dans un partenariat, le prestataire devrait participer au comité de pilotage» > page 24 Gilbert Caillet-Bois, Hotela: «L informatique est au cœur du changement et elle doit aussi être son moteur» > page 44 Bild: Fotolia Source: Fotolia OPEN SOURCE > SEITE 20 Offen für alle MÉDIATION > page 22 Lorsqu un projet IT finit devant l avocat DOSSIER MOBILE-TRENDS IN KOOPERATION MIT MICROSOFT > SEITE 35 DOSSIER CONFORMITÉ BANCAIRE En collaboration avec Trivadis > page 27 DOSSIER ECM En collaboration avec Insentia > page 31 Private Cloud Services So sehen Datacenter der Zukunft aus. Pour les alémaniques Das Schweizer ICT-Magazin für Business-Entscheider Aufl age: Ex., erscheint 14-tägig Für die Romands Le magazine suisse des technologies de l information pour l entreprise Aufl age: 6400 Ex., erscheint monatlich Für alle. Mit dem ICTjournal und der Netzwoche erreichen Sie die ICT-Entscheider der Schweiz. Nutzen Sie diese leistungsstarken Plattformen auch für Ihre Anzeigen und profi tieren Sie vom attraktiven Kombirabatt. Patrick Brazzale berät Sie gerne: Tel.: , Oder informieren Sie sich direkt auf der Website: Das Schweizer ICT-Magazin für Business-Entscheider

3 CONTENT 3 EDITORIAL 4 Editorial SOUG EVENTS 5 Neumitglieder Nouveaux membres 6 Interview mit unserem Druck partner, Thurgauer Tagblatt AG, Druck und Verlag, Weinfelden 8 Engineered Systems, Infrastructure, Cloud SOUG SIG vom im Segelhof Baden 10 Events ORACLE NEWS 11 Current Oracle Database Release Schedule Arnold Keller, Oracle Software (Schweiz) GmbH Availability Development Tools Costantinos Bourboulas, Oracle Software (Schweiz) GmbH TIPS & TECHNIQUES 12 Star Transformation, 12c Adaptive Bitmap Pruning and In-Memory option Franck Pachot, dbi services 17 Oracle 12C Data Guard: Far sync, real-time cascade standby and other goodies Ludovico Caldara, Trivadis AG 26 Oracle RAC 12c and Policy-Managed Databases, a Technical Overview Ludovico Caldara, Trivadis AG 33 Oracle Net encryption How to Yann Neuhaus, dbi services APPENDIX 37 Impressum

4 4 EDITORIAL D Gaetano Bisaz, SOUG Editorial Editorial Neue Plattform und Mobility Liebe Leserin, lieber Leser In den nächsten Monaten wird unser Verständnis von IT wohl (endlich) umgekrempelt werden. Die ausgerufene dritte Plattform, bestehend aus Cloud, Mobility, BigData und Social Media wird exponentiell Eingang in unsere tägliche Arbeit finden. Momentan wird dies noch oft verneint ich war kürzlich an einer Cloud Konferenz, Frage aus dem Publikum «Wann kommt sie denn endlich, die Cloud?» fand ich putzig. Die «Wolken» SIND SCHON HIER, sei es als Produktives Element oder auch abgeblockt das Thema beschäftigt uns IT Menschen. Dass wir in einer grossen Veränderungsphase sind, zeigt sich im Web: Schon mal wieder oracle.com angeschaut? Neu, Mobile Geräte kompatibel, grosse Kacheln statt 10 Punkt Text und natürlich voll von News aus der Oracle Open World. Den Newsletter Award gewinnt Ludovico Caldara mit seinem Artikel über Data Guard 12c. Noch immer scheuen sich viele DBA s mit DG und anderen Bordmitteln mehr aus der Oracle DB herauszuholen. Neue Funktionen mit 12c motivieren diese Zurückhaltung endlich über Bord zu werfen! Feedback und Ihre Berichte bitte wie immer an Gaetano Bisaz Ausgabe Redaktionsschluss 5/ November 2014 P.S. Bemerkt? Ausgabe 5/2014 kein Typo! Es gibt Änderungen in der SOUG in 5/2014 berichten wir, was im Jahr 2015 neu wird. Ein Grund sich auf die nächste Ausgabe zu freuen! EDITORIAL F Nouvelle plateforme et mobilité Chères lectrices, chers lecteurs Dans les prochains mois, notre compréhension de l informatique sera sans doute (enfin) bouleversée. De manière exponentielle, la «troisième plateforme», comprenant le cloud, la mobilité, le big data et les réseaux sociaux, se trouvera intégrée dans notre quotidien professionnel. Actuellement, ceci est encore nié. J étais dernièrement à une conférence Cloud et fut étonné par cette drôle de question : «Mais quand arrive-t-il, le cloud?». Les nuages SONT DÉJÀ ARRIVÉS, de manière productive ou étant remis en cause, le sujet nous interpelle en tant qu informaticiens. Nous sommes dans une phase de changements et cela est également visible sur le web. Avez-vous récemment été sur oracle.com? Mis à jour du site, compatibilité avec les appareils mobiles, gros carreaux au lieu de texte de taille 10 et aussi plein d informations sur l Oracle Open- World. Le Newsletter Award est décerné à Ludovico Caldara avec un article sur Data Guard 12c. Beaucoup de DBA craignent encore de tirer le maximum de la base de données Oracle à l aide de DG et d autres moy ens du bord. Les nouvelles fonctionnalités de la 12c devraient les motiver à jeter cette réticence pardessus bord! Veuillez transmettre comme d habitude vos feedbacks et vos rapports à : Gaetano Bisaz Edition Clôture de la rédaction 5/ novembre 2014 PS: L avez-vous remarqué? «Edition 5/2014»» pas de faute de frappe! Il y a des changements au SOUG dans l édition 5/2014 nous vous informerons sur ces modifications pour l année Une raison de plus de se réjouir pour la prochaine sortie de notre magazine!

5 SOUG 5 Neumitglieder Nouveaux membres Lulzim Barileva Daniel Zeller René Schnell Claudia Umbricht Armin Herzig Bernd Patolla Ronald Sprenger Jacques de Ruiter Christian Heinzer Amos IT Suisse AG IT Consult Solutions GmbH Eurofirma Avaloq Evolution AG Bundesamt für Informatik+Telekommunikation In&Out AG Basler Versicherung AG Löwenfels Partner AG source: geek-and-poke.com/geekandpoke/2013/7/22/future-proof-your-data-model lic: creativecommons.org/licenses/by/3.0/deed.en_us

6 6 SOUG Gaetano Bisaz, SOUG Interview mit unserem Druckpartner, Thurgauer Tagblatt AG, Druck und Verlag, Weinfelden Unsere IT Welt wird dominiert von Bits/Bytes, welche sich problemlos und zur Freude von Speicherherstellern millionenfach kopieren lassen. Ganz anders sieht es in der Welt der Atome aus: Kopieren und überhaupt Erstellen erfordert, je nach Produkt, immensen Aufwand und Mitgehen mit der Technik. Das Magazin über Bits in Ihrer Hand musste auch zuerst gedruckt werden. Unsere Druckerei, Thurgauer Tagblatt AG in Weinfelden, geht mit der Zeit und investiert in neue Technologien nicht ganz so einfach wie ein OS-Upgrade oder eine neue Firmware einzuspielen, gestaltet sich der Ersatz einer Hochleistungsmaschine. Mehr darüber in folgendem Interview: Investition in Speedmaster CX 102 LE-UV mit Lackwerk. Die Installation und Inbetriebnahme erfolgt im September/Oktober Die Thurgauer Tagblatt AG, Weinfelden und die Bodan AG, Kreuzlingen, investieren in den Bogenoffsetdruck. Was sind die allgemeinen Gründe für diesen Entscheid? Wir wollen für unsere Kundschaft weiterhin mit einer lei s- tungsfähigen Infrastruktur einwandfreie Druckprodukte herstellen. Der ruinöse Preiszerfall in der Druckbranche fordert Seit über 100 Jahren erfolgreich am Markt. Derzeit werden die Unternehmen durch die Inhaber-Geschwister Claudia und Urban Ruckstuhl geführt. Thurgauer Tagblatt AG, Druck und Verlag, Weinfelden

7 SOUG 7 Bodan AG Druckerei und Verlag, Kreuzlingen kurze Durchlaufzeiten im Druck wie in der Weiterverarbeitung, einwandfreie Druckresultate und eine hohe Dienstleistung über den gesamten Auftrag. Um für die Zukunft gerüstet zu sein und um die Anforderungen unserer treuen Kundschaft zu erfüllen, sind solche Investitionen unumgänglich. Das neue Lackwerk für verschiedenste Veredelungen und das Bedrucken unterschiedlicher Bedruckstoffe erschliesst uns einen zusätzlichen potentiellen Kundenkreis und gibt uns die Möglichkeit, bisher teilweise ausgelagerte Fremdleistungen neu selbst zu fertigen. Sie haben sich für das LE-UV-Verfahren entschieden. Wie haben Sie sich während der Evaluation informiert und was war für die Wahl dieser Technologie ausschlaggebend? Der Lieferant hat mit seinem Know-how viel zur Wissensvermittlung in Bezug auf LE-UV beigetragen. Besuche im Werk in Heidelberg und bei LE-UV-Druckereien in Deutschland und der Schweiz haben uns von der neuen Technologie überzeugt. Verkaufsmitarbeiter wie auch Techniker und DM- Spezialisten haben uns die Vorzüge der neuen Technologie verständlich und gewinnbringend erklärt. Dazu kam die persönliche Überzeugung und die Begeisterung unserer langjährigen und bewährten Mitarbeiter der Druckabteilung, die aktiv und nahe am Entscheidungs prozess mitgewirkt haben. Eine solche Technologie muss von allen mitge tragen werden, denn die Anforderungen sind hoch und die Umstellung ist anspruchsvoll. Welche neuen Möglichkeiten ergeben sich mit der LE-UV-Technologie? Dank dieser neuen Investition erreichen wir noch schnellere Durchlaufzeiten und können dank dem zusätzlichen In line-messsystem einen qualitativ äusserst stabilen Fortlauf garantieren. Mit LE-UV hergestellte Druckbogen sind bereits in der Auslage trocken und können umgehend weiterverarbeitet werden, somit kann wertvolle Zeit gespart werden. Die Leuchtkraft von LE-UV überzeugt insbesondere bei Naturpapieren und bringt zusätzliche Vorteile. Nachhaltig produzieren, das heisst «klimaneutral drucken» wie kommen Sie mit der neuen Infrastruktur diesem Firmenziel näher? Die neue Druckmaschine ist CO2-neutral bestellt wor - den. Die unvermeidbaren Emissionen von Treibhausgasen werden bei diesem Vorgehen direkt ausgeglichen. Diese werden verursacht durch die verwendeten Materialien, die Herstellprozesse und den Transport der Maschine bis zur Druckerei. Die Kompensation erfolgt in Übereinstimmung mit dem Kyoto-Protokoll durch Zertifikate des Wieder - auf forstungsprojekts Togo nach dem CarbonFix-Standard. Klimaneutral gestellte Maschinen sind durch das Symbol «CO2-neutral» gekennzeichnet. Übrigens senkt sich der Ener giebedarf während der Produktion um bis zu 30 %. Das SOUG-Magazin wird bei uns schon seit Jahren klimaneutral gedruckt. Diese Dienstleistung schätzen unsere Kunden sehr. Mit dem Label auf der Drucksache kann unser Kunde aktiv auf sein Engagement zum Schutz der Umwelt hinweisen. 100% klimaneutral gedruckt! _Kleber_Kreis.indd :06

8 8 SOUG Engineered Systems, Infrastructure, Cloud SOUG SIG vom im Segelhof Baden Das SIG Meeting vom 16. Oktober stand für einmal mehr im Zeichen von Infrastruktur inklusive den neuen Themen Engineered Systems und Cloud. Hier die Abstracts der Vorträge mit Ergänzungen aus dem Event. Oracle Zero Data Loss Recovery Appliance: a quick preview Ludovico Caldara, Trivadis AG The OZDLRA is the new Engineered System created by Oracle and intended to be the new game changer in the data protection landscape. Interesting Concept that eliminates non Oracle tools and offers a highly integrated solution for whole Oracle Landscapes. Solaris Virtualisierung auf SPARC T5 Server bei Swisscom Fritz Wittwer, Swisscom & Marcel Hofstetter, JomaSoft GmbH Wer ist Swisscom? Wer ist JomaSoft? Architektur / VDCF / Proxy Lösung Hoch verfügbare LDoms mit Solaris Cluster Migration von bestehenden Solaris Zonen in die neue Umgebung Ein interessanter Kundenbericht mit guter Interaktion und umfangreichem Q&A. Anzeige DB-Entwickler gesucht Wir suchen Spezialisten/Spezialistin für den Einsatz in mehreren Projekten. Erwünscht ist eine flexible, selbständige Arbeitsorganisation. Erfahrung im Oracle-Umfeld, Sprachen Deutsch und Englisch. Kenntnisse (oder Bereitschaft zu lernen) möglichst vieler der folgenden Komponenten Oracle DB Oracle Forms APEX SQL Oracle Reports PL/SQL WLS Arbeitsort ist Gümligen oder bei Kunden vor Ort.

9 SOUG 9 ODA Best Practice David Hueber, dbi services SA dbi services stellt die wichtigsten Informa tionen und Best Practices zu ODA praxis orientiert dar: Was kann man alles in einer ODA installieren? Wie funktioniert die Virtualisierung? Wie zuverlässig sind die Tools? Wie robust ist eine ODA? Was muss noch manuell konfiguriert werden? Wie viele Ressourcen verbrauchen Administration und Betrieb? Welche Performance kann ich von einer ODA erwarten? Wie hoch sind die Lizenz kosten? Nebenbei wurden noch ein paar Tipps zu ODA vorgestellt. Oracle Linux und Oracle VM Offen, Innovativ, Zuverlässig Friedrich-Wolfgang Weinhappl, Oracle Oracle Linux hat sich als professionelles Linux Betriebssystem in Unternehmen etabliert. Der gemeinsame Einsatz von Oracle Linux und der Oracle Datenbank bringt technische Vorteile, die in diesem Vortrag aufgezeigt wurden. Auch wurden die Neuerungen von Oracle Linux 7 und Oracle VM 3.3 vorgestellt. Abschliessend wurde aufgezeigt, wie Oracle mit eigener OpenStack Distribution und Supportunterstützung die OpenStack Foundation aktiv unterstützt. ZFS SA als Exadata Erweiterung! Umut Bozkurt, Trivadis AG Oracle ZFS Storage Appliance (ZFSSA) is a hybrid storage platform based on a cache centric architecture: Read Cache, Write Cache and DRAM. It also provides unique integration with Oracle software. In this session, you learned about ZFSSA main features, ZFSSA and Exadata connection possibilities, use case examples, and best practices of backing up Databases on Exadata to ZFSSA. Profit from the partnership between Oracle and Microsoft Beat Weissenberger und Karl-Heinz Sütterlin, Microsoft Schweiz GmbH About one year ago, Oracle and Microsoft announced a global enterprise partnership. It enables customers and partners to run Oracle software on Windows Server Hyper-V and in Microsoft Azure. You are able to deploy Oracle software including Java, Oracle Database and Oracle WebLogic Server on Windows Server Hyper-V or in Microsoft Azure and receive full support from Oracle. In our livedemo we showed the setup of a Windows server with Oracle 12c and found out that even Oracle Linux is an option to be run on Microsoft Azure. Think Big zurück zum zentralen Grossrechner? Efstathios Efstathiou, HP Evolution of databases and hardware Technologies making In-Memory possible Shared Memory Systems as an alternative? Interesting aspects of modern technologies and variants, compared with the classic concepts from the very beginning of IT. Oracle SuperCluster und ein Ausblick auf den neuen SPARC M7 Prozessor Wolfgang Volkart, Oracle Oracle SuperCluster T5-8 und Oracle SuperCluster M6-32 bieten sich ideal für die Konsolidierung von Datenbanken und Anwendungen sowie die Bereitstellung privater Clouds an. Vorgestellt wurde Architektur Was bieten die beiden Systeme Vergleich mit anderen Engineered Systems von Oracle Der kürzlich an der Hotchips Konferenz vorgestellte SPARC M7 Prozessor verspricht einige Neuigkeiten im Chipdesign. Mit Software in Silicon werden ganz neue Wege beschritten und versprechen grosse Gewinne für die Performance von Datenbankanwendungen. Der M7 Chip beinhaltet wahrlich viele Erweiterungen, die weit über klassische Prozessoren herausgehen und die Applikationsleistung massiv erhöhen können. Herzlichen Dank den Sponsoren, ohne die das Networken trocken und der Magen leer bliebe!

10 10 EVENTS November Novembre SIG-R Hôtel continental Lausanne DOAG-Konferenz mit CH-Abend am Nürnberg SIG 2 le 6 novembre 2014 Lausanne, Hôtel Continental 9.00 h 9.30 h Inscription, café Stream 1: Technologies de réplications h h Oracle Active Data Guard 12c: Far Sync Instance, Real-Time Cascade Standby and Other Goodies The new release of Oracle Database has come with many new exciting enhancements for high availability. The aim of this presentation is to introduce some new Oracle Active Data Guard features through practical examples and live demos. Among the various enhancements, the new Far Sync Instance and Real-Time Cascade Standby features receive special attention in the session. Ludovico Caldara / Trivadis English or French depending on audience h h Dbvisit replicate: demo de mise en oeuvre et expérience client La réplication logique n'est pas aussi simple que la réplication physique. Et elle fait parfois peur à aborder. Au travers d'une démo et d'une expérience client, nous allons voir que Dbvisit replicate n'est pas si complexe à mettre en place. Son wizard nous guide dans l'installation d'une première réplication et sa modularité permet de s'adapter aux contraintes d'infrastructure. Retour d'expériences et démo pour bien envisager un POC réplication. Franck Pachot / dbi services Français h Pause café h h Golden Gate, un retour client coté «Service Management» Dans le contexte d'une application de «Reporting», Actelion devait trouver une solution permettant d'extraire des données «non modifiables» d'un système source vers un système «destination». Sur cette destination les données pourraient être manipulées selon les besoins applicatifs. Golden Gate a été retenu comme technique de réplication. Cette session présentera la mise en oeuvre de Golden Gate au niveau technique mais elle s'attachera surtout à mettre en évidence les aspects de service management et d'exploitation de cette solution en y intégrant les aspects opérationnels, de maintenance de versions, de coût d'exploitation, de gestion de la connaissance etc Kalled Belkacem / Actelion Français Stream 2: «Oracle BI & co.» L architecture des Applications BI d Oracle Les clients ERP (Oracle, SAP, MSFT) évaluent de plus en plus les solutions packagés de Business Intelligence («on premise» ou cloud). L application BI d Oracle en est une parmi d autre qui permets un déploiement rapide des rapports analytiques standards autour des ERP (E-Business Suite, PeopleSoft, JD Edwards, Siebel et SAP). Cette session, expliquera quelle est la topologie d une telle application et quels sont les défis de mise en place et maintenance de cette application au sein de leur entreprise. Xavier Fellay / Temenos Français De la donnée agrégée à la donnée atomique : quelles solutions sont envisageables avec la suite OBIF? De nos jours, un grand nombre d entreprises désire analyser ses données à tous les niveaux ; du plus agrégé au plus atomique pour répondre, au travers d une même plateforme, aux différents besoins de reporting d entreprise, tableaux de bord, requêtes à la demande et indicateurs stratégiques de pilotage (scorecarding). Au travers la mise en œuvre des différentes solutions de BI intégrées fournit par la plateforme «Oracle Business Intelligence Foundation Suite (OBIFS)», les clients améliorent leur visibilité du business, leur alignement sur la stratégie et leur réactivité face au marché. Alexandre Tacchini & Benjamin Gaillard / Synchrotech Français Information Discovery as a Service: Better Decisions for More Efficient Operations at CERN Information Discovery technology is much more than just representing data. It must unlock understanding, facilitate exploration and spot hidden insights. Those are clearly essential concepts to enable more intelligent decision-making processes and therefore, more efficient operations. A key challenge is to facilitate easy data access, interaction and visualization of large amounts of structured, semi-structured and non-structured data coming from different sources and specific domains. This presentation shows CERN s approach for an Information Discovery as a Service infrastructure based on Oracle Endeca, which overcomes the previous issues. In addition we will show how this architecture allows us to find patterns, discover relations between critical domains, track faults etc, used to improve the CERN s daily-based operations h h Apéro dinatoire h h Visite du centre de traitement des appels (CTA) Manuel Martin Marquez CERN Avenue Général Guisan 54, Pully Nombre de place limité à 12 personnes premiers inscrits, premiers servis! Merci de préciser que vous souhaitez participer à cette visite! Inscriptions sur Frais de participation: Membres du SOUG: gratuit / non-membres: CHF 95.

11 ORACLE NEWS 11 Arnold Keller, Oracle Software (Schweiz) GmbH Current Oracle Database Release Schedule Platform Linux x86 Not planned Not planned Not planned 28. Aug Sep Sep Sep Sep Apr Feb Jan 06 Linux x HCY July June Aug Sep Sep Sep Sep Apr Mar Feb 06 Oracle Solaris SPARC (64-bit) 1HCY July June Aug Oct Sep Nov Oct May Apr Feb 06 Oracle Solaris x86-64 (64-bit) 1HCY July June Aug Oct Sep Nov 09 Not planned 19. May Nov 08 Not planned Microsoft Windows x64 (64-bit) TBD 2HCY July Oct Nov Dec Apr Nov July May 08 Not planned HP-UX Itanium 9 TBD 2HCY Jan Oct Oct Oct Dec Oct June Apr June 06 HP-UX PA-RISC (64-bit) 8 Platform desupported 8 Platform desupported 8 Platform 02. Jan Feb Mar May Nov Dec June Feb 06 desupported 8 IBM AIX on POWER Systems TBD 2HCY Jan Oct Oct Oct Dec Oct June May Feb 06 IBM Linux on System z TBD 2HCY Jan Jan Dec Mar 11 Not planned Not planned 03. Jan Dec Aug 06 Microsoft Windows (32-bit) Not planned Not planned Not planned 25. Oct Nov Dez Apr Oct July Mar Feb 06 Instant Client Releases Apple Mac OS X (Intel) TBD Planned Not planned 20. Apr Jan 13 Not planned Not planned Not planned Sched TBA 10. Apr 09 Not planned Instant Client only Single Instance only IBM Linux on POWER Q4CY2014 Older Releases Apple Mac OS X (PowerPC) Platform desupported 08. Jan 07 HP OpenVMS Alpha Platform desupported 31. Oct Dec Feb 08 HP OpenVMS Itanium Platform desupported (see Doc ID ) 31. Oct Dec 08 Not planned HP Tru64 UNIX Platform desupported 21. Apr Feb Oct 06 IBM Linux on POWER Platform desupported (see Doc ID ) 17. Mar Jan 09 Not planned IBM z/os on System z Platform desupported (see Doc ID ) 26. Oct 12 Not planned 06. Mar 06 Linux Itanium 9 Platform desupported (see Doc ID ) 17. Mar Sep Apr 06 Microsoft Windows Itanium (64-bit) 9 Platform desupported (see Doc ID ) 12. May Feb Jan 06 Oracle Solaris x86 (32-bit) Platform desupported 14. Nov 08 Last patch set for this platform 18. June 06 Notes: is the last patch set for Release Future integrated error correction will come in the form of Patch Set Updates. See Patch Set Updates for Oracle Products (Doc ID ) for current details. 2 Base release download from otn.oracle.com is the last patch set for Release Once patching ends for , future integrated error correction will come in the form of Patch Set Updates. See Patch Set Updates for Oracle Products (Doc ID ) for current details. 4 The start of Extended Support no longer forces customers to run the last patch set in order to receive new fixes (such as PSU or CPU) will be patched up until the end date listed above. 5 Patching end date for has been pushed back from the original 30-Apr-2011 date. See the announcement in Database Patch Set patching extended to July 31, 2011 (Doc ID ). 6 TBD: Patching end date will be set once the next patch set is released. 7 Patching end dates for terminal patchsets of a release are equivalent to the end of Extended Support. An Extended Support contract is required to receive patches once a release enters the Extended Support phase. See the Lifetime Support Policy covering Technology Products for dates of Extended Support. 8 Oracle Database Release 11.2 will be the last release on HP-UX PA-RISC. See Support Status for Oracle Database on HP-UX PA-RISC systems (Doc ID ) for details. 9 Itanium-based systems (HP-UX, Windows and Linux): Additional Extended Support has been made available for these platforms. The patching end date table above reflects the new end of Extended Support. See Oracle Software Technical Support policies for more details is the last patch set for Release Future integrated error correction will come in the form of Patch Set Updates. See Patch Set Updates for Oracle Products (Doc ID ) for current details is currently release only as Enterprise edition - see doc for details. Future Oracle Database releases are planned for the other platforms but due to Oracle s revenue recognition policy we are unable to publish those schedules at this time. This schedule only includes releases which have already been released on at least one platform. Last Patch Set: When Oracle knows which patch set will be the last for a particular release, it will be indicated but designation as such is at Oracle s discretion and subject to change without notice. Solaris x86-32: The last patch set for this platform is Solaris x86-64: Oracle has elevated the Solaris x86-64 to equal priority with SPARC Solaris for future Database releases. Customers should expect more timely releases and patch sets for the Solaris x86-64 platform. 32-bit clients: 32-bit clients are shipped with some patch sets, but the schedule is the same as for the rest of the patch set unless otherwise noted. Alle Infos sind online verfügbar auf https://support.oracle.com unter Certifications und in Note Release Schedule of Current Database Patch Sets. Costantinos Bourboulas, Oracle Software (Schweiz) GmbH Availability Development Tools Oracle Development Tools Platform Release License JDeveloper Java, cross platform Free SQL Developer Java, cross platform Free SQL Developer Data Modeler Java, cross platform Free Enterprise Pack for Eclipse Java, cross platform Free Developer Tools for Visual Studio Windows Free BI Publisher Java, cross platform Required Application Express All DB Editions >= Free Forms Builder, Reports Builder Fusion Middleware Required Software downloads: > Downloads > Developer Tools These statements are for information purposes only Version: September 2014

12 12 Tips&techniques Franck Pachot, dbi services Star Transformation, 12c Adaptive Bitmap Pruning and In-Memory option In the previous newsletters I ve described Adaptive Plans, the 12c new feature where the CBO can generate multiple sub-plans and select the right one at the first execution time. And that was a pretext to describe join methods and parallel query distribution which are not always well known. But beside adaptive joins and adaptive parallel distribution, 12c comes with Adaptive Bitmap Pruning. So my articles become a trilogy and, as I did previously, I ll describe the case it applies to and which is often not well known: the Star Transformation. Star schema When a transactional application updates your data you store it in a structure that is close to what you insert: one tab-le per business entity, and relational integrity among them. And you query usually in the same way, joining few rows from several tables. But when a database is dedicated to query, and queries in BI often involve lot of rows, you prefer to store them close to the way you retrieve the data. You put all the measures that are related to same information (and same granularity) in a FACT table. And around that table with lot of rows you put smaller tables with all information about the axes of analysis known as DIMENSIONS. This is the star schema that I prefer to call a dimensional model. A query on a star schema involves: Several predicates on dimension attributes (ex: sales date between two dates, country code in a list). They are columns on the dimension tables. Dimension tables are small (e.g. countries) or medium (e.g. customer) One or several measures to be retrieved. They are columns in the fact table, usually numbers. The fact table has a lot of rows and we usually need to read a lot of rows and aggregate them later Additional information from the dimension table (e.g. display the country name whereas predicate was on country code) SMS > > > Oracle Open World Jedes Jahr wird die Berichterstattung der Oracle Openworld besser. Livestreams, Tickers usw machen einen virtuellen Besuch möglich. Für jene die nicht unbedingt bis spät in die Nacht das Geschehen verfolgen wollten sind Aufzeichnungen aller Keynotes, garniert mit weiteren Informationen, verfügbar (http://tinyurl.com/ m2mpmq3). Das funktioniert sogar mit dem Smartphone (mit dem der QR Code rechts besonders viel Spass macht): The usual access path (index range scan filtering all predicates and then access to table to get the measures) is not optimal or not possible for two reasons: Having all predicates in the same index is not possible because we can t have an index for each possible predicate combination Adding the additional information in the table would make it very large. So basically, we build a schema with: One FACT table that has the minimum of columns (because it s already big because of the number of rows). Only the dimension key and the measures Several DIMENSION tables that has the key, columns where you will have predicates on, and all other information. They can be large (lot of columns) because they don t have a huge number of rows and can be denormalized (have all hierarchy) because they are quite static. The dimension keys in the FACT table are declared as foreign key to their DIMENSION tables.

13 Tips&techniques 13 Each dimension key in the FACT table has a bitmap index on it so that all predicate results can be merge quickly before goring to the large FACT table Test case I ve build the following test case with one FACT table and three DIMENSION tables: create table DIM1 as select rownum DIM1_ID, DIM1_COD, DIM1_TXT from dual connect by level<=10; create table DIM2 as select DIM1_ID DIM2_ID,DIM1_COD DIM2_COD,DIM1_TXT DIM2_TXT from DIM1 where rownum<=10; create table DIM3 as select DIM1_ID DIM3_ID,DIM1_COD DIM3_COD,DIM1_TXT DIM3_TXT from DIM1 where rownum<=10; Those are my 3 dimension tables with an ID (the dimension key), a COD (where I ll have some critera on) and a TXT (the additional information). I ve 10 rows in each. create table FACT as select rownum FACT_ID,DIM1_ID,DIM2_ID,DIM3_ID,mod(rownum,1000)/10 FACT_MESURE from DIM1,DIM2,DIM3,(select * from dual connect by level<=1000); This is my FACT table. I have 1000 rows per each combination of dimensions, so 1 million rows. And I define the primary keys on the DIMENSION table and the foreign keys on the FACT table, as well as an index bitmap for each foreign key. alter table DIM1 add constraint DIM1PK primary key(dim1_id); alter table FACT add constraint DIM1FK foreign key (DIM1_ID) references DIM1; create index DIM1BX on FACT(DIM1_ID); alter table DIM2 add constraint DIM2PK primary key(dim2_id); alter table FACT add constraint DIM2FK foreign key (DIM2_ID) references DIM2; create index DIM2BX on FACT(DIM2_ID); alter table DIM3 add constraint DIM3PK primary key(dim3_id); alter table FACT add constraint DIM3FK foreign key (DIM3_ID) references DIM3; create index DIM3BX on FACT(DIM3_ID); Finally I gather statistics and, in order to simulate one large dimension, I fake the stats for DIM1 as if it has rows: exec dbms_stats.gather_schema_stats(user); exec dbms_stats.set_table_stats(user,'dim1',numrows=>1e5); And now it s time to check some execution plans. I m running the following query: explain plan for select * from FACT join DIM1 using(dim1_id) join DIM2 using(dim2_id) join DIM3 using(dim3_id) where DIM1_COD='One' and DIM2_COD='One' and DIM3_COD='One'; That is: Predicate on DIM1, DIM2, DIM3 columns All measures from FACT Additional information from DIM1, DIM2, DIM3

14 14 Tips&techniques Without star transformation Here is the execution plan when I leave the star_transformation_enabled to its default which is false: NAME TYPE VALUE star_transformation_enabled string FALSE I use SQL Monitor which, in , shows adaptive plans, having the inactive part in gray: Star transformation without temporary table Let s enable star transformation: SQL> alter session set star_transformation_enabled=temp_disable; Session altered. Yes, there is no mistake here. Star transformation is enabled but without temp which we will see later. Do you remember that I ve described star queries with two accesses to dimensions? One to apply the predicate (and get the dimension key for the result) and the other one to get the additional information once we got the FACT rows. The principle of STAR transformation is to push the first one as if it were and IN ( SELECT ID from DIM WHERE ) So let s look at the plan: That s a long plan but not so complex. Here is what it does: First it reads all the dimensions DIM1, DIM2 and DIM3 (each one filtered with its own predicate) and does a cartesian join to get all the combination that are allowed by our predicates. This resultset has the dimension key to get to the FACT and has also the additional information we need for the final result. Then the STATISTICS COLLECTOR will decide on the sub-plan to choose (this is 12c adaptive join as I described in the previous newsletter). If the number of combination is not too large, it will do a NESTED LOOP: for each combination we get to the matching FACT rows. This is done through the bitmap indexes: for each dimension key, the corresponding bitmap index is accessed (BITMAP INDEX SINGLE VALUE), giving a bitmap of rows which are merge (BITMAP AND) and converted to ROWID. Then with those ROWID we loop to access to the FACT table. If the number of combination is large, then it is better to full scan the FACT table and do the join with the dimension combination through a HASH JOIN. The first part the MERGE JOIN CARTESIAN is similar, but now the BITMAP INDEX SINGLE VALUE has been replaced. We read the dimension, apply the predicate, and for each dimension key we get to the bitmap index (BITMAP IN- DEX RANGE SCAN). The bitmaps are then merged for each dimension (BITMAP MERGE) and then ANDed with the ones coming from the other dimensions. This is very efficient when the predicate has a good selectivity. But what if the dimension is a big table? We have to read it two times here.

15 Tips&techniques 15 Star transformation with temporary table Let s enable star transformation with temporary table: SQL> alter session set star_transformation_enabled=true; Session altered. Remember, I ve set the stats so that DIM1 appears as a large dimension. In order to avoid to read it two times, the optimizer can choose to put it in a temporary table. Look at the beginning of the plan: The DIM1 table is first loaded as a temporary table. Then that temporary table is used in the dimension merge cartesian join (to build the hash table to lookup for the additional information) and is also used to apply the predicate before going to the DIM1BIX bitmap index: 12c Adaptive Bitmap Pruning So, all that exists before 12c. What is new is that grayed STATISTICS COLLECTOR. I said that star transformation is good when the predicate is selective enough to filter few rows. Imagine that the cardinality estimation was wrong, and most of FACT rows have the required value. Then the optimizer can choose to stop iterating in that bitmap branch. We just ignore the predicate at that step, and the join back to the dimension Cartesian join will filter it anyway. If you check the execution plan with predicates, you will see the predicate on dimension in the two table access. Here I still run the same query but I ve changed my data. In the previous examples, only 1 row was coming out from the DIM3 dimension (Actual Rows in the execution plan). Now I have 6 rows in DIM3 that are returned: Nothing else different. It s the same principle: Join each dimension to the FACT bitmap indexes Get the resulting ROWIDs and get the FACT rows Then join back to the dimension cartesian join in order to get additional information. Look at the end. When the statistics collector has seen that the threshold has been passed over, it has decided to skip that bitmap branch. This is the third case of adaptive plans: Adaptive Bitmap Pruning. The bitmap branch is good only if it helps to filter a lot of rows. If it s not the case, then it s just an overhead, and it is skipped coming back to the behavior we had at the beginning when star transformation was disabled.

16 16 Tips&techniques 12c In-Memory option I m talking about new features, and you probably are tired of long execution plans. So let s try In-Memory: alter table FACT inmemory priority critical; alter table DIM1 inmemory priority critical; alter table DIM2 inmemory priority critical; alter table DIM3 inmemory priority critical; I ve plenty of memory and I ve set my inmemory_size already. I just have to wait a bit, so that the in-memory column store is filled and run my query again: Of course, you need to have the FACT table in memory, or at least the interesting partition. But then you don t need star transformation. As usual you have that cartesian merge join to get the dimension. But then you remember that, without star transformation, you accessed to the FACT through NESTED LOOP JOIN or HASH JOIN and that was adaptive. Here the FACT is stored in memory and there is no index access, so we use a full scan. Do you remember that star transformation was nice because it pushes down the predicates to filter the FACT table earlier? Here we have something else. The critera are pushed with a bloom filter. Because we have read all the dimensions first, then we can build the bloom filter (JOIN FILTER CREATE) and use it (JOIN FILTER USE) to filter a large part of the rows saving the cost of lots of hash lookups. Hash lookups have to be done only for the few bloom filter false positives. And vector processing, which is the way to scan columnar data, is very efficient with bloom filters. Conclusion This completes the trilogy about adaptive plans that appeared in 12c. I m sure that a refresh about star transformation was not a bad idea. I ve worked a lot on datawarehouses and star schemas but still had to study it when preparing the OCM exam. And the adaptive feature in this area has not been widely documented. I ve concluded with In-Memory because I think that the star transformation, and especially the bitmap indexes, was a premise of a columnar approach. The problem is that they don t like OLTP updates. You can have star transformation with regular indexes as well, but there is a rowid-to-bitmap transformation that has a big overhead. In-Memory is a good solution for ad-hoc queries on OLTP databases as long as you have enough memory to keep your data in the in-memory column store. But about that, keep in mind that columnar compression has great ratios on fact tables because of the repeated dimension keys. Contact dbi services Franck Pachot SMS > > > Neue Oracle Cloud Services Oracle hat die Verfolgung der etablierten Cloud Service Provider definitiv aufgenommen und addiert sechs neue Dienste: Oracle Big Data cloud nicht ganz die erste Cloud Lösung eines Hadoop frameworks Oracle Mobile Cloud für «Enterprise-grade» Mobile Apps Oracle Integration Cloud verschmelzt Cloud/Cloud und Cloud/OnPrem über ein BUI Oracle Process Cloud ermöglicht das einfache Abbilden von Geschäftsprozessen. Oder so. Oracle Node.js Cloud für Java Scripter in der Wolke Oracle JAVE SE Cloud für JAVA SE Anwendungen Zusammen mit den bereits verfügbaren Diensten steht somit einem Geschäft eine umfangreiche Sammlung von Möglichkeiten und Diensten zur Verfügung. Mit den breit verfügbaren Trial Möglichkeiten und Preisplänen lohnt sich eine genauere Betrachtung. Wir empfehlen allerdings für diese genaue Betrachtung auch wirklich Zeit zu investieren an einem Abend ist das nicht erledigt.

17 Tips&techniques 17 Ludovico Caldara, Trivadis AG Oracle 12C Data Guard: Far sync, real-time cascade standby and other goodies Abstract The new release of Oracle Database has come with many new exciting enhancements for the High Availability. This whitepaper introduces some new Data Guard features. Among various enhancements, special attention will be given to the new Far Sync Instance and the Real-Time Cascade Standby. Target Audience This whitepaper is targeted at database administrators and architects who are familiar with Oracle Data Guard concepts and want to know more about the new 12c features. Real-time cascade standby In some situations, customers may want to have cascading standby configurations, where the primary database sends its redo stream to a first-level standby database (also named cascading standby), and from this database forward the redo stream to one or multiple second-level destinations (also named cascaded standbys). This kind of configuration can be handful, for example, to offload the primary database when multiple standby databases are needed. Previous releases of Oracle Data Guard had, however, different limitations that were preventing customers from implementing efficiently this kind of configuration: Executive Summary After reading this whitepaper, you should be able to: Review the principal Data Guard features introduced with the release 12c Discover new replication topologies and possibilities with Data Guard List the new DG features that require special licensing Oracle Dataguard 11gR2 limitations The Data Guard Broker wasn t able to manage cascaded standbys. The manual configuration of the redo destinations was hard to implement, and manual interventions on the initialization parameters were required to handle role changes correctly. ARCH transport was the only redo transport available between the cascading and the cascaded databases: the cascading database had to fill up the standby redo logs before the archiver process could send the archive stream, so the cascaded standby was always at least one sequence behind the primary database.

18 18 Tips&techniques The new Oracle Data Guard 12c overcomes these limitations. ROLE ATTRIBUTE RESULT PRIMARY SYNC Old 11gR2 behavior ASYNC Old 11gR2 behavior STANDBY <none> ASYNC <none> Same behavior as ASYNC Use LGWR: Real-Time Cascade ENABLED USE ARCH: Real-Time Cascade DISABLED 12c LOG_ARCHIVE_DEST_n attributes Oracle Data Guard 12c overcomes these limitations The Data Guard Broker is now able to manage cascaded and cascading standbys. You can now implement cascade scenarios that span more than three levels (actually, I ve tested it with a four-level cascade). Moreover, cascading standbys can now send the redo stream immediately, as soon as it is received from the primary database. It s up to the LGWR process of the cascading standby to forward the redo stream to the cascaded standby(s), at the same time it also writes the standby redo logs as it used to do. This ability of forwarding the redo stream immediately to the second-level destinations is called Real-time cascade and it s a new feature of the Active Data Guard Option. This means that if the real-time cascade feature is used, all the servers involved in the Data Guard configuration need to be licensed with the ADG option. The real-time cascade allows having the cascaded standby always up to date with the primary database, so the customers can now use a cascading standby to offload the primary database without increasing the gap between the primary database and the destination databases. As an example, keep the following two configurations on the same cascading, standby database: 1. log_archive_dest_2 = service="rep", optional reopen=300 net_timeout=30, valid_for=(standby_logfile,all_roles) 2. log_archive_dest_2 = service="rep", ASYNC NOAFFIRM optional reopen=300 net_timeout=30, valid_for=(standby_logfile,all_roles) In the first example, ASYNC is not specified; therefore the real-time cascade is not enabled. In the second example however, ASYNC is specified and the real-time cascade feature is used. Dealing with multiple databases may lead to having different configurations of LOG_ARCHIVE_DEST_n for the same database. In the following example, we can see how the DR database needs to change his archive destination depending on which the primary database is, either PROD or REP. Whether the real-time cascade feature is used or not, actually depends on the attributes in the parameter LOG_AR- CHIVE_DEST_n of the cascading standby that control how the redo stream is forwarded to the cascaded database. Beginning with Oracle 12c, the attributes LGWR and ARCH of the LOG_ARCHIVE_DEST_n parameters are deprecated. The only valid values are SYNC, ASYNC or none of them. In particular, for a cascading standby (thus, for a DB in Standby Role), the only valid attribute for the transport is ASYNC, meaning that synchronous transport from a standby database to another is not possible. If ASYNC is specified then real-time cascade is used, if no transport attribute is specified, real-time cascade is disabled and the redo stream from the cascading to the cascaded database is transported using the archived logs. In order to manage different role transition scenarios and have the proper redo log routing between the different databases, Oracle has introduced the new Data Guard Broker property RedoRoutes. This new property specifies, for each database in the configuration, where the redo stream must be redirected depending on which the primary database is. The format of a redo route is the following: (<primary database> : <destination> [<transport mode>] [, <destination> [<transport mode>] [, ]] ) Where <transport mode> can be SYNC, ASYNC, FAST- SYNC or none of them.

19 Tips&techniques 19 Example of a cascade standby scenario As for the parameter LOG_ARCHIVE_DEST_n, a standby database can have only ASYNC transport mode in the property RedoRoutes, and depending whether it s specified or not, the real-time cascade feature is respectively enabled or disabled. So take care: if you don t have a valid ADG license, you should not specify ASYNC in either RedoRoutes or LOG_ARCHIVE_DEST_n when configuring a cascading standby! One database can have multiple routes to support different scenarios. Take the following image as an example: Start by implement traditional two-ways Data Guard architecture (details are missing as it is expected that you are already comfortable with DG): 1. Put the primary database ( PROD in this example) in archivelog mode 2. Configure force logging to have more flexibility in case of failover 3. Add a few standby redo log files 4. Prepare the TNS configuration, the static listener entry db_unique_name_dgmgrl.db_domain and the password file as usual, on all the involved nodes 5. Prepare a minimal pfile on the cascading site and start the instance in nomount (let s call the instance DR ). 6. Duplicate PROD database for standby to the DR database 7. Create the configuration with dgmgrl: dgmgrl> create configuration DGPROD as PRIMARY DATABASE IS 'PROD' connect identifier is 'PROD'; 8. Add the standby database to the configuration dgmgrl> add database 'DR' as connect identifier is 'DR'; 9. Enable the configuration dgmgrl> enable configuration; 10. Verify that everything is working as expected (e.g. try a switchover) New RedoRoutes parameter You should infer that: PROD database sends its redo stream to the DR database when PROD is the primary (LOCAL is an alternative label to specify the current database). In all other situations it doesn t forward the redo stream. REP database sends its redo stream to the DR database when REP is the primary. In all other situations it doesn t forward the redo stream. DR database forwards the redo stream to the REP database when PROD is the primary or to PROD when REP is the primary, but when DR itself is the primary, it sends the redo stream directly to both the REP and PROD databases. Also, the transport mode is explicitly set to ASYNC when in standby role; therefore the configuration requires the ADG option. dgmgrl> show configuration; dgmgrl> enable configuration; Configuration dgprod 10. Protection Verify that Mode: everything MaxPerformance is working as expected (e.g. try a Databases: switchover) PROD - Primary database DR - Physical standby database Fast-Start Failover: DISABLED Configuration Status: SUCCESS Once the 2-node Dataguard is configured, repeat the steps 5, 6 and 8 to have another standby copy ready for inclusion, then: 1. Add the third database to the configuration: dgmgrl> add database 'REP' as connect identifier is 'REP'; Database "REP" added

20 20 Tips&techniques 2. Verify that the REP database is added but disabled DGMGRL> show configuration; Configuration dgprod Protection Mode: MaxPerformance Databases: PROD - Primary database DR - Physical standby database REP - Physical standby database (disabled) Fast-Start Failover: DISABLED Configuration Status: SUCCESS 3. Configure all the RedoRoutes properties to handle all the possible role transitions, without enabling the real-time cascade feature: DGMGRL> edit database 'REP' set property 'redoroutes'='(rep : DR)'; Property "redoroutes" updated DGMGRL> edit database 'DR' set property 'redoroutes'='(prod : REP)(REP : PROD)(LOCAL : REP, PROD)'; Property "redoroutes" updated DGMGRL> edit database 'PROD' set property 'redoroutes'='(prod : DR)'; Property "redoroutes" updated 4. Enable the REP database: DGMGRL> enable database 'REP'; Enabled. 5. Verify the new output of the show configuration command: DGMGRL> show configuration; Configuration dgprod Protection Mode: MaxPerformance Databases: PROD - Primary database DR - Physical standby database REP - Physical standby database (receiving archived redo) Fast-Start Failover: DISABLED Configuration Status: SUCCESS Notice that PROD is the primary database, DR is the firstlevel cascading standby and REP is the second-level cascaded standby. You can infer this by observing the indentation that increases progressively with the level of the cascade. Also notice that the configuration is not using the realtime cascade feature because of the label receiving archived redo. 6. Change the configuration to use the real-time cascade and verify that the label also changes: DGMGRL> edit database 'DR' set property 'redoroutes'='(prod : REP ASYNC)(REP : PROD ASYNC)(LOCAL : REP, PROD)'; Property "redoroutes" updated DGMGRL> show configuration Configuration dgprod Protection Mode: MaxPerformance Databases: PROD - Primary database DR - Physical standby database REP - Physical standby database (receiving current redo) Fast-Start Failover: DISABLED Configuration Status: SUCCESS 7. Switchover to the REP database and verify the new show configuration output: DGMGRL> switchover to 'REP'; Performing switchover NOW, please wait... New primary database "REP" is opening... Operation requires startup of instance "DR" on database "DR" Starting instance "DR"... ORACLE instance started. Database mounted. Switchover succeeded, new primary is "REP" DGMGRL> show configuration Configuration dgprod Protection Mode: MaxPerformance Databases: REP - Primary database DR - Physical standby database PROD - Physical standby database (receiving current redo) Fast-Start Failover: DISABLED Configuration Status: SUCCESS DGMGRL> Notice that the REP is now the primary and the redo route is reverted comparing to the original situation. You may also want to check that the LOG_ARCHIVE_ DEST2 of the DR database has been changed automatically by the Data Guard Broker (not shown here).

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