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  • SQL Server 2012 - AlwaysOn

    - by Claus Jandausch
    Ich war nicht nur irritiert, ich war sogar regelrecht schockiert - und für einen kurzen Moment sprachlos (was nur selten der Fall ist). Gerade eben hatte mich jemand gefragt "Wann Oracle denn etwas Vergleichbares wie AlwaysOn bieten würde - und ob überhaupt?" War ich hier im falschen Film gelandet? Ich konnte nicht anders, als meinen Unmut kundzutun und zu erklären, dass die Fragestellung normalerweise anders herum läuft. Zugegeben - es mag vielleicht strittige Punkte geben im Vergleich zwischen Oracle und SQL Server - bei denen nicht unbedingt immer Oracle die Nase vorn haben muss - aber das Thema Clustering für Hochverfügbarkeit (HA), Disaster Recovery (DR) und Skalierbarkeit gehört mit Sicherheit nicht dazu. Dieses Erlebnis hakte ich am Nachgang als Einzelfall ab, der so nie wieder vorkommen würde. Bis ich kurz darauf eines Besseren belehrt wurde und genau die selbe Frage erneut zu hören bekam. Diesmal sogar im Exadata-Umfeld und einem Oracle Stretch Cluster. Einmal ist keinmal, doch zweimal ist einmal zu viel... Getreu diesem alten Motto war mir klar, dass man das so nicht länger stehen lassen konnte. Ich habe keine Ahnung, wie die Microsoft Marketing Abteilung es geschafft hat, unter dem AlwaysOn Brading eine innovative Technologie vermuten zu lassen - aber sie hat ihren Job scheinbar gut gemacht. Doch abgesehen von einem guten Marketing, stellt sich natürlich die Frage, was wirklich dahinter steckt und wie sich das Ganze mit Oracle vergleichen lässt - und ob überhaupt? Damit wären wir wieder bei der ursprünglichen Frage angelangt.  So viel zum Hintergrund dieses Blogbeitrags - von meiner Antwort handelt der restliche Blog. "Windows was the God ..." Um den wahren Unterschied zwischen Oracle und Microsoft verstehen zu können, muss man zunächst das bedeutendste Microsoft Dogma kennen. Es lässt sich schlicht und einfach auf den Punkt bringen: "Alles muss auf Windows basieren." Die Überschrift dieses Absatzes ist kein von mir erfundener Ausspruch, sondern ein Zitat. Konkret stammt es aus einem längeren Artikel von Kurt Eichenwald in der Vanity Fair aus dem August 2012. Er lautet Microsoft's Lost Decade und sei jedem ans Herz gelegt, der die "Microsoft-Maschinerie" unter Steve Ballmer und einige ihrer Kuriositäten besser verstehen möchte. "YOU TALKING TO ME?" Microsoft C.E.O. Steve Ballmer bei seiner Keynote auf der 2012 International Consumer Electronics Show in Las Vegas am 9. Januar   Manche Dinge in diesem Artikel mögen überspitzt dargestellt erscheinen - sind sie aber nicht. Vieles davon kannte ich bereits aus eigener Erfahrung und kann es nur bestätigen. Anderes hat sich mir erst so richtig erschlossen. Insbesondere die folgenden Passagen führten zum Aha-Erlebnis: “Windows was the god—everything had to work with Windows,” said Stone... “Every little thing you want to write has to build off of Windows (or other existing roducts),” one software engineer said. “It can be very confusing, …” Ich habe immer schon darauf hingewiesen, dass in einem SQL Server Failover Cluster die Microsoft Datenbank eigentlich nichts Nenneswertes zum Geschehen beiträgt, sondern sich voll und ganz auf das Windows Betriebssystem verlässt. Deshalb muss man auch die Windows Server Enterprise Edition installieren, soll ein Failover Cluster für den SQL Server eingerichtet werden. Denn hier werden die Cluster Services geliefert - nicht mit dem SQL Server. Er ist nur lediglich ein weiteres Server Produkt, für das Windows in Ausfallszenarien genutzt werden kann - so wie Microsoft Exchange beispielsweise, oder Microsoft SharePoint, oder irgendein anderes Server Produkt das auf Windows gehostet wird. Auch Oracle kann damit genutzt werden. Das Stichwort lautet hier: Oracle Failsafe. Nur - warum sollte man das tun, wenn gleichzeitig eine überlegene Technologie wie die Oracle Real Application Clusters (RAC) zur Verfügung steht, die dann auch keine Windows Enterprise Edition voraussetzen, da Oracle die eigene Clusterware liefert. Welche darüber hinaus für kürzere Failover-Zeiten sorgt, da diese Cluster-Technologie Datenbank-integriert ist und sich nicht auf "Dritte" verlässt. Wenn man sich also schon keine technischen Vorteile mit einem SQL Server Failover Cluster erkauft, sondern zusätzlich noch versteckte Lizenzkosten durch die Lizenzierung der Windows Server Enterprise Edition einhandelt, warum hat Microsoft dann in den vergangenen Jahren seit SQL Server 2000 nicht ebenfalls an einer neuen und innovativen Lösung gearbeitet, die mit Oracle RAC mithalten kann? Entwickler hat Microsoft genügend? Am Geld kann es auch nicht liegen? Lesen Sie einfach noch einmal die beiden obenstehenden Zitate und sie werden den Grund verstehen. Anders lässt es sich ja auch gar nicht mehr erklären, dass AlwaysOn aus zwei unterschiedlichen Technologien besteht, die beide jedoch wiederum auf dem Windows Server Failover Clustering (WSFC) basieren. Denn daraus ergeben sich klare Nachteile - aber dazu später mehr. Um AlwaysOn zu verstehen, sollte man sich zunächst kurz in Erinnerung rufen, was Microsoft bisher an HA/DR (High Availability/Desaster Recovery) Lösungen für SQL Server zur Verfügung gestellt hat. Replikation Basiert auf logischer Replikation und Pubisher/Subscriber Architektur Transactional Replication Merge Replication Snapshot Replication Microsoft's Replikation ist vergleichbar mit Oracle GoldenGate. Oracle GoldenGate stellt jedoch die umfassendere Technologie dar und bietet High Performance. Log Shipping Microsoft's Log Shipping stellt eine einfache Technologie dar, die vergleichbar ist mit Oracle Managed Recovery in Oracle Version 7. Das Log Shipping besitzt folgende Merkmale: Transaction Log Backups werden von Primary nach Secondary/ies geschickt Einarbeitung (z.B. Restore) auf jedem Secondary individuell Optionale dritte Server Instanz (Monitor Server) für Überwachung und Alarm Log Restore Unterbrechung möglich für Read-Only Modus (Secondary) Keine Unterstützung von Automatic Failover Database Mirroring Microsoft's Database Mirroring wurde verfügbar mit SQL Server 2005, sah aus wie Oracle Data Guard in Oracle 9i, war funktional jedoch nicht so umfassend. Für ein HA/DR Paar besteht eine 1:1 Beziehung, um die produktive Datenbank (Principle DB) abzusichern. Auf der Standby Datenbank (Mirrored DB) werden alle Insert-, Update- und Delete-Operationen nachgezogen. Modi Synchron (High-Safety Modus) Asynchron (High-Performance Modus) Automatic Failover Unterstützt im High-Safety Modus (synchron) Witness Server vorausgesetzt     Zur Frage der Kontinuität Es stellt sich die Frage, wie es um diesen Technologien nun im Zusammenhang mit SQL Server 2012 bestellt ist. Unter Fanfaren seinerzeit eingeführt, war Database Mirroring das erklärte Mittel der Wahl. Ich bin kein Produkt Manager bei Microsoft und kann hierzu nur meine Meinung äußern, aber zieht man den SQL AlwaysOn Team Blog heran, so sieht es nicht gut aus für das Database Mirroring - zumindest nicht langfristig. "Does AlwaysOn Availability Group replace Database Mirroring going forward?” “The short answer is we recommend that you migrate from the mirroring configuration or even mirroring and log shipping configuration to using Availability Group. Database Mirroring will still be available in the Denali release but will be phased out over subsequent releases. Log Shipping will continue to be available in future releases.” Damit wären wir endlich beim eigentlichen Thema angelangt. Was ist eine sogenannte Availability Group und was genau hat es mit der vielversprechend klingenden Bezeichnung AlwaysOn auf sich?   SQL Server 2012 - AlwaysOn Zwei HA-Features verstekcne sich hinter dem “AlwaysOn”-Branding. Einmal das AlwaysOn Failover Clustering aka SQL Server Failover Cluster Instances (FCI) - zum Anderen die AlwaysOn Availability Groups. Failover Cluster Instances (FCI) Entspricht ungefähr dem Stretch Cluster Konzept von Oracle Setzt auf Windows Server Failover Clustering (WSFC) auf Bietet HA auf Instanz-Ebene AlwaysOn Availability Groups (Verfügbarkeitsgruppen) Ähnlich der Idee von Consistency Groups, wie in Storage-Level Replikations-Software von z.B. EMC SRDF Abhängigkeiten zu Windows Server Failover Clustering (WSFC) Bietet HA auf Datenbank-Ebene   Hinweis: Verwechseln Sie nicht eine SQL Server Datenbank mit einer Oracle Datenbank. Und auch nicht eine Oracle Instanz mit einer SQL Server Instanz. Die gleichen Begriffe haben hier eine andere Bedeutung - nicht selten ein Grund, weshalb Oracle- und Microsoft DBAs schnell aneinander vorbei reden. Denken Sie bei einer SQL Server Datenbank eher an ein Oracle Schema, das kommt der Sache näher. So etwas wie die SQL Server Northwind Datenbank ist vergleichbar mit dem Oracle Scott Schema. Wenn Sie die genauen Unterschiede kennen möchten, finden Sie eine detaillierte Beschreibung in meinem Buch "Oracle10g Release 2 für Windows und .NET", erhältich bei Lehmanns, Amazon, etc.   Windows Server Failover Clustering (WSFC) Wie man sieht, basieren beide AlwaysOn Technologien wiederum auf dem Windows Server Failover Clustering (WSFC), um einerseits Hochverfügbarkeit auf Ebene der Instanz zu gewährleisten und andererseits auf der Datenbank-Ebene. Deshalb nun eine kurze Beschreibung der WSFC. Die WSFC sind ein mit dem Windows Betriebssystem geliefertes Infrastruktur-Feature, um HA für Server Anwendungen, wie Microsoft Exchange, SharePoint, SQL Server, etc. zu bieten. So wie jeder andere Cluster, besteht ein WSFC Cluster aus einer Gruppe unabhängiger Server, die zusammenarbeiten, um die Verfügbarkeit einer Applikation oder eines Service zu erhöhen. Falls ein Cluster-Knoten oder -Service ausfällt, kann der auf diesem Knoten bisher gehostete Service automatisch oder manuell auf einen anderen im Cluster verfügbaren Knoten transferriert werden - was allgemein als Failover bekannt ist. Unter SQL Server 2012 verwenden sowohl die AlwaysOn Avalability Groups, als auch die AlwaysOn Failover Cluster Instances die WSFC als Plattformtechnologie, um Komponenten als WSFC Cluster-Ressourcen zu registrieren. Verwandte Ressourcen werden in eine Ressource Group zusammengefasst, die in Abhängigkeit zu anderen WSFC Cluster-Ressourcen gebracht werden kann. Der WSFC Cluster Service kann jetzt die Notwendigkeit zum Neustart der SQL Server Instanz erfassen oder einen automatischen Failover zu einem anderen Server-Knoten im WSFC Cluster auslösen.   Failover Cluster Instances (FCI) Eine SQL Server Failover Cluster Instanz (FCI) ist eine einzelne SQL Server Instanz, die in einem Failover Cluster betrieben wird, der aus mehreren Windows Server Failover Clustering (WSFC) Knoten besteht und so HA (High Availability) auf Ebene der Instanz bietet. Unter Verwendung von Multi-Subnet FCI kann auch Remote DR (Disaster Recovery) unterstützt werden. Eine weitere Option für Remote DR besteht darin, eine unter FCI gehostete Datenbank in einer Availability Group zu betreiben. Hierzu später mehr. FCI und WSFC Basis FCI, das für lokale Hochverfügbarkeit der Instanzen genutzt wird, ähnelt der veralteten Architektur eines kalten Cluster (Aktiv-Passiv). Unter SQL Server 2008 wurde diese Technologie SQL Server 2008 Failover Clustering genannt. Sie nutzte den Windows Server Failover Cluster. In SQL Server 2012 hat Microsoft diese Basistechnologie unter der Bezeichnung AlwaysOn zusammengefasst. Es handelt sich aber nach wie vor um die klassische Aktiv-Passiv-Konfiguration. Der Ablauf im Failover-Fall ist wie folgt: Solange kein Hardware-oder System-Fehler auftritt, werden alle Dirty Pages im Buffer Cache auf Platte geschrieben Alle entsprechenden SQL Server Services (Dienste) in der Ressource Gruppe werden auf dem aktiven Knoten gestoppt Die Ownership der Ressource Gruppe wird auf einen anderen Knoten der FCI transferriert Der neue Owner (Besitzer) der Ressource Gruppe startet seine SQL Server Services (Dienste) Die Connection-Anforderungen einer Client-Applikation werden automatisch auf den neuen aktiven Knoten mit dem selben Virtuellen Network Namen (VNN) umgeleitet Abhängig vom Zeitpunkt des letzten Checkpoints, kann die Anzahl der Dirty Pages im Buffer Cache, die noch auf Platte geschrieben werden müssen, zu unvorhersehbar langen Failover-Zeiten führen. Um diese Anzahl zu drosseln, besitzt der SQL Server 2012 eine neue Fähigkeit, die Indirect Checkpoints genannt wird. Indirect Checkpoints ähnelt dem Fast-Start MTTR Target Feature der Oracle Datenbank, das bereits mit Oracle9i verfügbar war.   SQL Server Multi-Subnet Clustering Ein SQL Server Multi-Subnet Failover Cluster entspricht vom Konzept her einem Oracle RAC Stretch Cluster. Doch dies ist nur auf den ersten Blick der Fall. Im Gegensatz zu RAC ist in einem lokalen SQL Server Failover Cluster jeweils nur ein Knoten aktiv für eine Datenbank. Für die Datenreplikation zwischen geografisch entfernten Sites verlässt sich Microsoft auf 3rd Party Lösungen für das Storage Mirroring.     Die Verbesserung dieses Szenario mit einer SQL Server 2012 Implementierung besteht schlicht darin, dass eine VLAN-Konfiguration (Virtual Local Area Network) nun nicht mehr benötigt wird, so wie dies bisher der Fall war. Das folgende Diagramm stellt dar, wie der Ablauf mit SQL Server 2012 gehandhabt wird. In Site A und Site B wird HA jeweils durch einen lokalen Aktiv-Passiv-Cluster sichergestellt.     Besondere Aufmerksamkeit muss hier der Konfiguration und dem Tuning geschenkt werden, da ansonsten völlig inakzeptable Failover-Zeiten resultieren. Dies liegt darin begründet, weil die Downtime auf Client-Seite nun nicht mehr nur von der reinen Failover-Zeit abhängt, sondern zusätzlich von der Dauer der DNS Replikation zwischen den DNS Servern. (Rufen Sie sich in Erinnerung, dass wir gerade von Multi-Subnet Clustering sprechen). Außerdem ist zu berücksichtigen, wie schnell die Clients die aktualisierten DNS Informationen abfragen. Spezielle Konfigurationen für Node Heartbeat, HostRecordTTL (Host Record Time-to-Live) und Intersite Replication Frequeny für Active Directory Sites und Services werden notwendig. Default TTL für Windows Server 2008 R2: 20 Minuten Empfohlene Einstellung: 1 Minute DNS Update Replication Frequency in Windows Umgebung: 180 Minuten Empfohlene Einstellung: 15 Minuten (minimaler Wert)   Betrachtet man diese Werte, muss man feststellen, dass selbst eine optimale Konfiguration die rigiden SLAs (Service Level Agreements) heutiger geschäftskritischer Anwendungen für HA und DR nicht erfüllen kann. Denn dies impliziert eine auf der Client-Seite erlebte Failover-Zeit von insgesamt 16 Minuten. Hierzu ein Auszug aus der SQL Server 2012 Online Dokumentation: Cons: If a cross-subnet failover occurs, the client recovery time could be 15 minutes or longer, depending on your HostRecordTTL setting and the setting of your cross-site DNS/AD replication schedule.    Wir sind hier an einem Punkt unserer Überlegungen angelangt, an dem sich erklärt, weshalb ich zuvor das "Windows was the God ..." Zitat verwendet habe. Die unbedingte Abhängigkeit zu Windows wird zunehmend zum Problem, da sie die Komplexität einer Microsoft-basierenden Lösung erhöht, anstelle sie zu reduzieren. Und Komplexität ist das Letzte, was sich CIOs heutzutage wünschen.  Zur Ehrenrettung des SQL Server 2012 und AlwaysOn muss man sagen, dass derart lange Failover-Zeiten kein unbedingtes "Muss" darstellen, sondern ein "Kann". Doch auch ein "Kann" kann im unpassenden Moment unvorhersehbare und kostspielige Folgen haben. Die Unabsehbarkeit ist wiederum Ursache vieler an der Implementierung beteiligten Komponenten und deren Abhängigkeiten, wie beispielsweise drei Cluster-Lösungen (zwei von Microsoft, eine 3rd Party Lösung). Wie man die Sache auch dreht und wendet, kommt man an diesem Fakt also nicht vorbei - ganz unabhängig von der Dauer einer Downtime oder Failover-Zeiten. Im Gegensatz zu AlwaysOn und der hier vorgestellten Version eines Stretch-Clusters, vermeidet eine entsprechende Oracle Implementierung eine derartige Komplexität, hervorgerufen duch multiple Abhängigkeiten. Den Unterschied machen Datenbank-integrierte Mechanismen, wie Fast Application Notification (FAN) und Fast Connection Failover (FCF). Für Oracle MAA Konfigurationen (Maximum Availability Architecture) sind Inter-Site Failover-Zeiten im Bereich von Sekunden keine Seltenheit. Wenn Sie dem Link zur Oracle MAA folgen, finden Sie außerdem eine Reihe an Customer Case Studies. Auch dies ist ein wichtiges Unterscheidungsmerkmal zu AlwaysOn, denn die Oracle Technologie hat sich bereits zigfach in höchst kritischen Umgebungen bewährt.   Availability Groups (Verfügbarkeitsgruppen) Die sogenannten Availability Groups (Verfügbarkeitsgruppen) sind - neben FCI - der weitere Baustein von AlwaysOn.   Hinweis: Bevor wir uns näher damit beschäftigen, sollten Sie sich noch einmal ins Gedächtnis rufen, dass eine SQL Server Datenbank nicht die gleiche Bedeutung besitzt, wie eine Oracle Datenbank, sondern eher einem Oracle Schema entspricht. So etwas wie die SQL Server Northwind Datenbank ist vergleichbar mit dem Oracle Scott Schema.   Eine Verfügbarkeitsgruppe setzt sich zusammen aus einem Set mehrerer Benutzer-Datenbanken, die im Falle eines Failover gemeinsam als Gruppe behandelt werden. Eine Verfügbarkeitsgruppe unterstützt ein Set an primären Datenbanken (primäres Replikat) und einem bis vier Sets von entsprechenden sekundären Datenbanken (sekundäre Replikate).       Es können jedoch nicht alle SQL Server Datenbanken einer AlwaysOn Verfügbarkeitsgruppe zugeordnet werden. Der SQL Server Spezialist Michael Otey zählt in seinem SQL Server Pro Artikel folgende Anforderungen auf: Verfügbarkeitsgruppen müssen mit Benutzer-Datenbanken erstellt werden. System-Datenbanken können nicht verwendet werden Die Datenbanken müssen sich im Read-Write Modus befinden. Read-Only Datenbanken werden nicht unterstützt Die Datenbanken in einer Verfügbarkeitsgruppe müssen Multiuser Datenbanken sein Sie dürfen nicht das AUTO_CLOSE Feature verwenden Sie müssen das Full Recovery Modell nutzen und es muss ein vollständiges Backup vorhanden sein Eine gegebene Datenbank kann sich nur in einer einzigen Verfügbarkeitsgruppe befinden und diese Datenbank düerfen nicht für Database Mirroring konfiguriert sein Microsoft empfiehl außerdem, dass der Verzeichnispfad einer Datenbank auf dem primären und sekundären Server identisch sein sollte Wie man sieht, eignen sich Verfügbarkeitsgruppen nicht, um HA und DR vollständig abzubilden. Die Unterscheidung zwischen der Instanzen-Ebene (FCI) und Datenbank-Ebene (Availability Groups) ist von hoher Bedeutung. Vor kurzem wurde mir gesagt, dass man mit den Verfügbarkeitsgruppen auf Shared Storage verzichten könne und dadurch Kosten spart. So weit so gut ... Man kann natürlich eine Installation rein mit Verfügbarkeitsgruppen und ohne FCI durchführen - aber man sollte sich dann darüber bewusst sein, was man dadurch alles nicht abgesichert hat - und dies wiederum für Desaster Recovery (DR) und SLAs (Service Level Agreements) bedeutet. Kurzum, um die Kombination aus beiden AlwaysOn Produkten und der damit verbundene Komplexität kommt man wohl in der Praxis nicht herum.    Availability Groups und WSFC AlwaysOn hängt von Windows Server Failover Clustering (WSFC) ab, um die aktuellen Rollen der Verfügbarkeitsreplikate einer Verfügbarkeitsgruppe zu überwachen und zu verwalten, und darüber zu entscheiden, wie ein Failover-Ereignis die Verfügbarkeitsreplikate betrifft. Das folgende Diagramm zeigt de Beziehung zwischen Verfügbarkeitsgruppen und WSFC:   Der Verfügbarkeitsmodus ist eine Eigenschaft jedes Verfügbarkeitsreplikats. Synychron und Asynchron können also gemischt werden: Availability Modus (Verfügbarkeitsmodus) Asynchroner Commit-Modus Primäres replikat schließt Transaktionen ohne Warten auf Sekundäres Synchroner Commit-Modus Primäres Replikat wartet auf Commit von sekundärem Replikat Failover Typen Automatic Manual Forced (mit möglichem Datenverlust) Synchroner Commit-Modus Geplanter, manueller Failover ohne Datenverlust Automatischer Failover ohne Datenverlust Asynchroner Commit-Modus Nur Forced, manueller Failover mit möglichem Datenverlust   Der SQL Server kennt keinen separaten Switchover Begriff wie in Oracle Data Guard. Für SQL Server werden alle Role Transitions als Failover bezeichnet. Tatsächlich unterstützt der SQL Server keinen Switchover für asynchrone Verbindungen. Es gibt nur die Form des Forced Failover mit möglichem Datenverlust. Eine ähnliche Fähigkeit wie der Switchover unter Oracle Data Guard ist so nicht gegeben.   SQL Sever FCI mit Availability Groups (Verfügbarkeitsgruppen) Neben den Verfügbarkeitsgruppen kann eine zweite Failover-Ebene eingerichtet werden, indem SQL Server FCI (auf Shared Storage) mit WSFC implementiert wird. Ein Verfügbarkeitesreplikat kann dann auf einer Standalone Instanz gehostet werden, oder einer FCI Instanz. Zum Verständnis: Die Verfügbarkeitsgruppen selbst benötigen kein Shared Storage. Diese Kombination kann verwendet werden für lokale HA auf Ebene der Instanz und DR auf Datenbank-Ebene durch Verfügbarkeitsgruppen. Das folgende Diagramm zeigt dieses Szenario:   Achtung! Hier handelt es sich nicht um ein Pendant zu Oracle RAC plus Data Guard, auch wenn das Bild diesen Eindruck vielleicht vermitteln mag - denn alle sekundären Knoten im FCI sind rein passiv. Es existiert außerdem eine weitere und ernsthafte Einschränkung: SQL Server Failover Cluster Instanzen (FCI) unterstützen nicht das automatische AlwaysOn Failover für Verfügbarkeitsgruppen. Jedes unter FCI gehostete Verfügbarkeitsreplikat kann nur für manuelles Failover konfiguriert werden.   Lesbare Sekundäre Replikate Ein oder mehrere Verfügbarkeitsreplikate in einer Verfügbarkeitsgruppe können für den lesenden Zugriff konfiguriert werden, wenn sie als sekundäres Replikat laufen. Dies ähnelt Oracle Active Data Guard, jedoch gibt es Einschränkungen. Alle Abfragen gegen die sekundäre Datenbank werden automatisch auf das Snapshot Isolation Level abgebildet. Es handelt sich dabei um eine Versionierung der Rows. Microsoft versuchte hiermit die Oracle MVRC (Multi Version Read Consistency) nachzustellen. Tatsächlich muss man die SQL Server Snapshot Isolation eher mit Oracle Flashback vergleichen. Bei der Implementierung des Snapshot Isolation Levels handelt sich um ein nachträglich aufgesetztes Feature und nicht um einen inhärenten Teil des Datenbank-Kernels, wie im Falle Oracle. (Ich werde hierzu in Kürze einen weiteren Blogbeitrag verfassen, wenn ich mich mit der neuen SQL Server 2012 Core Lizenzierung beschäftige.) Für die Praxis entstehen aus der Abbildung auf das Snapshot Isolation Level ernsthafte Restriktionen, derer man sich für den Betrieb in der Praxis bereits vorab bewusst sein sollte: Sollte auf der primären Datenbank eine aktive Transaktion zu dem Zeitpunkt existieren, wenn ein lesbares sekundäres Replikat in die Verfügbarkeitsgruppe aufgenommen wird, werden die Row-Versionen auf der korrespondierenden sekundären Datenbank nicht sofort vollständig verfügbar sein. Eine aktive Transaktion auf dem primären Replikat muss zuerst abgeschlossen (Commit oder Rollback) und dieser Transaktions-Record auf dem sekundären Replikat verarbeitet werden. Bis dahin ist das Isolation Level Mapping auf der sekundären Datenbank unvollständig und Abfragen sind temporär geblockt. Microsoft sagt dazu: "This is needed to guarantee that row versions are available on the secondary replica before executing the query under snapshot isolation as all isolation levels are implicitly mapped to snapshot isolation." (SQL Storage Engine Blog: AlwaysOn: I just enabled Readable Secondary but my query is blocked?)  Grundlegend bedeutet dies, dass ein aktives lesbares Replikat nicht in die Verfügbarkeitsgruppe aufgenommen werden kann, ohne das primäre Replikat vorübergehend stillzulegen. Da Leseoperationen auf das Snapshot Isolation Transaction Level abgebildet werden, kann die Bereinigung von Ghost Records auf dem primären Replikat durch Transaktionen auf einem oder mehreren sekundären Replikaten geblockt werden - z.B. durch eine lang laufende Abfrage auf dem sekundären Replikat. Diese Bereinigung wird auch blockiert, wenn die Verbindung zum sekundären Replikat abbricht oder der Datenaustausch unterbrochen wird. Auch die Log Truncation wird in diesem Zustant verhindert. Wenn dieser Zustand längere Zeit anhält, empfiehlt Microsoft das sekundäre Replikat aus der Verfügbarkeitsgruppe herauszunehmen - was ein ernsthaftes Downtime-Problem darstellt. Die Read-Only Workload auf den sekundären Replikaten kann eingehende DDL Änderungen blockieren. Obwohl die Leseoperationen aufgrund der Row-Versionierung keine Shared Locks halten, führen diese Operatioen zu Sch-S Locks (Schemastabilitätssperren). DDL-Änderungen durch Redo-Operationen können dadurch blockiert werden. Falls DDL aufgrund konkurrierender Lese-Workload blockiert wird und der Schwellenwert für 'Recovery Interval' (eine SQL Server Konfigurationsoption) überschritten wird, generiert der SQL Server das Ereignis sqlserver.lock_redo_blocked, welches Microsoft zum Kill der blockierenden Leser empfiehlt. Auf die Verfügbarkeit der Anwendung wird hierbei keinerlei Rücksicht genommen.   Keine dieser Einschränkungen existiert mit Oracle Active Data Guard.   Backups auf sekundären Replikaten  Über die sekundären Replikate können Backups (BACKUP DATABASE via Transact-SQL) nur als copy-only Backups einer vollständigen Datenbank, Dateien und Dateigruppen erstellt werden. Das Erstellen inkrementeller Backups ist nicht unterstützt, was ein ernsthafter Rückstand ist gegenüber der Backup-Unterstützung physikalischer Standbys unter Oracle Data Guard. Hinweis: Ein möglicher Workaround via Snapshots, bleibt ein Workaround. Eine weitere Einschränkung dieses Features gegenüber Oracle Data Guard besteht darin, dass das Backup eines sekundären Replikats nicht ausgeführt werden kann, wenn es nicht mit dem primären Replikat kommunizieren kann. Darüber hinaus muss das sekundäre Replikat synchronisiert sein oder sich in der Synchronisation befinden, um das Beackup auf dem sekundären Replikat erstellen zu können.   Vergleich von Microsoft AlwaysOn mit der Oracle MAA Ich komme wieder zurück auf die Eingangs erwähnte, mehrfach an mich gestellte Frage "Wann denn - und ob überhaupt - Oracle etwas Vergleichbares wie AlwaysOn bieten würde?" und meine damit verbundene (kurze) Irritation. Wenn Sie diesen Blogbeitrag bis hierher gelesen haben, dann kennen Sie jetzt meine darauf gegebene Antwort. Der eine oder andere Punkt traf dabei nicht immer auf Jeden zu, was auch nicht der tiefere Sinn und Zweck meiner Antwort war. Wenn beispielsweise kein Multi-Subnet mit im Spiel ist, sind alle diesbezüglichen Kritikpunkte zunächst obsolet. Was aber nicht bedeutet, dass sie nicht bereits morgen schon wieder zum Thema werden könnten (Sag niemals "Nie"). In manch anderes Fettnäpfchen tritt man wiederum nicht unbedingt in einer Testumgebung, sondern erst im laufenden Betrieb. Erst recht nicht dann, wenn man sich potenzieller Probleme nicht bewusst ist und keine dedizierten Tests startet. Und wer AlwaysOn erfolgreich positionieren möchte, wird auch gar kein Interesse daran haben, auf mögliche Schwachstellen und den besagten Teufel im Detail aufmerksam zu machen. Das ist keine Unterstellung - es ist nur menschlich. Außerdem ist es verständlich, dass man sich in erster Linie darauf konzentriert "was geht" und "was gut läuft", anstelle auf das "was zu Problemen führen kann" oder "nicht funktioniert". Wer will schon der Miesepeter sein? Für mich selbst gesprochen, kann ich nur sagen, dass ich lieber vorab von allen möglichen Einschränkungen wissen möchte, anstelle sie dann nach einer kurzen Zeit der heilen Welt schmerzhaft am eigenen Leib erfahren zu müssen. Ich bin davon überzeugt, dass es Ihnen nicht anders geht. Nachfolgend deshalb eine Zusammenfassung all jener Punkte, die ich im Vergleich zur Oracle MAA (Maximum Availability Architecture) als unbedingt Erwähnenswert betrachte, falls man eine Evaluierung von Microsoft AlwaysOn in Betracht zieht. 1. AlwaysOn ist eine komplexe Technologie Der SQL Server AlwaysOn Stack ist zusammengesetzt aus drei verschiedenen Technlogien: Windows Server Failover Clustering (WSFC) SQL Server Failover Cluster Instances (FCI) SQL Server Availability Groups (Verfügbarkeitsgruppen) Man kann eine derartige Lösung nicht als nahtlos bezeichnen, wofür auch die vielen von Microsoft dargestellten Einschränkungen sprechen. Während sich frühere SQL Server Versionen in Richtung eigener HA/DR Technologien entwickelten (wie Database Mirroring), empfiehlt Microsoft nun die Migration. Doch weshalb dieser Schwenk? Er führt nicht zu einem konsisten und robusten Angebot an HA/DR Technologie für geschäftskritische Umgebungen.  Liegt die Antwort in meiner These begründet, nach der "Windows was the God ..." noch immer gilt und man die Nachteile der allzu engen Kopplung mit Windows nicht sehen möchte? Entscheiden Sie selbst ... 2. Failover Cluster Instanzen - Kein RAC-Pendant Die SQL Server und Windows Server Clustering Technologie basiert noch immer auf dem veralteten Aktiv-Passiv Modell und führt zu einer Verschwendung von Systemressourcen. In einer Betrachtung von lediglich zwei Knoten erschließt sich auf Anhieb noch nicht der volle Mehrwert eines Aktiv-Aktiv Clusters (wie den Real Application Clusters), wie er von Oracle bereits vor zehn Jahren entwickelt wurde. Doch kennt man die Vorzüge der Skalierbarkeit durch einfaches Hinzufügen weiterer Cluster-Knoten, die dann alle gemeinsam als ein einziges logisches System zusammenarbeiten, versteht man was hinter dem Motto "Pay-as-you-Grow" steckt. In einem Aktiv-Aktiv Cluster geht es zwar auch um Hochverfügbarkeit - und ein Failover erfolgt zudem schneller, als in einem Aktiv-Passiv Modell - aber es geht eben nicht nur darum. An dieser Stelle sei darauf hingewiesen, dass die Oracle 11g Standard Edition bereits die Nutzung von Oracle RAC bis zu vier Sockets kostenfrei beinhaltet. Möchten Sie dazu Windows nutzen, benötigen Sie keine Windows Server Enterprise Edition, da Oracle 11g die eigene Clusterware liefert. Sie kommen in den Genuss von Hochverfügbarkeit und Skalierbarkeit und können dazu die günstigere Windows Server Standard Edition nutzen. 3. SQL Server Multi-Subnet Clustering - Abhängigkeit zu 3rd Party Storage Mirroring  Die SQL Server Multi-Subnet Clustering Architektur unterstützt den Aufbau eines Stretch Clusters, basiert dabei aber auf dem Aktiv-Passiv Modell. Das eigentlich Problematische ist jedoch, dass man sich zur Absicherung der Datenbank auf 3rd Party Storage Mirroring Technologie verlässt, ohne Integration zwischen dem Windows Server Failover Clustering (WSFC) und der darunterliegenden Mirroring Technologie. Wenn nun im Cluster ein Failover auf Instanzen-Ebene erfolgt, existiert keine Koordination mit einem möglichen Failover auf Ebene des Storage-Array. 4. Availability Groups (Verfügbarkeitsgruppen) - Vier, oder doch nur Zwei? Ein primäres Replikat erlaubt bis zu vier sekundäre Replikate innerhalb einer Verfügbarkeitsgruppe, jedoch nur zwei im Synchronen Commit Modus. Während dies zwar einen Vorteil gegenüber dem stringenten 1:1 Modell unter Database Mirroring darstellt, fällt der SQL Server 2012 damit immer noch weiter zurück hinter Oracle Data Guard mit bis zu 30 direkten Stanbdy Zielen - und vielen weiteren durch kaskadierende Ziele möglichen. Damit eignet sich Oracle Active Data Guard auch für die Bereitstellung einer Reader-Farm Skalierbarkeit für Internet-basierende Unternehmen. Mit AwaysOn Verfügbarkeitsgruppen ist dies nicht möglich. 5. Availability Groups (Verfügbarkeitsgruppen) - kein asynchrones Switchover  Die Technologie der Verfügbarkeitsgruppen wird auch als geeignetes Mittel für administrative Aufgaben positioniert - wie Upgrades oder Wartungsarbeiten. Man muss sich jedoch einem gravierendem Defizit bewusst sein: Im asynchronen Verfügbarkeitsmodus besteht die einzige Möglichkeit für Role Transition im Forced Failover mit Datenverlust! Um den Verlust von Daten durch geplante Wartungsarbeiten zu vermeiden, muss man den synchronen Verfügbarkeitsmodus konfigurieren, was jedoch ernstzunehmende Auswirkungen auf WAN Deployments nach sich zieht. Spinnt man diesen Gedanken zu Ende, kommt man zu dem Schluss, dass die Technologie der Verfügbarkeitsgruppen für geplante Wartungsarbeiten in einem derartigen Umfeld nicht effektiv genutzt werden kann. 6. Automatisches Failover - Nicht immer möglich Sowohl die SQL Server FCI, als auch Verfügbarkeitsgruppen unterstützen automatisches Failover. Möchte man diese jedoch kombinieren, wird das Ergebnis kein automatisches Failover sein. Denn ihr Zusammentreffen im Failover-Fall führt zu Race Conditions (Wettlaufsituationen), weshalb diese Konfiguration nicht länger das automatische Failover zu einem Replikat in einer Verfügbarkeitsgruppe erlaubt. Auch hier bestätigt sich wieder die tiefere Problematik von AlwaysOn, mit einer Zusammensetzung aus unterschiedlichen Technologien und der Abhängigkeit zu Windows. 7. Problematische RTO (Recovery Time Objective) Microsoft postioniert die SQL Server Multi-Subnet Clustering Architektur als brauchbare HA/DR Architektur. Bedenkt man jedoch die Problematik im Zusammenhang mit DNS Replikation und den möglichen langen Wartezeiten auf Client-Seite von bis zu 16 Minuten, sind strenge RTO Anforderungen (Recovery Time Objectives) nicht erfüllbar. Im Gegensatz zu Oracle besitzt der SQL Server keine Datenbank-integrierten Technologien, wie Oracle Fast Application Notification (FAN) oder Oracle Fast Connection Failover (FCF). 8. Problematische RPO (Recovery Point Objective) SQL Server ermöglicht Forced Failover (erzwungenes Failover), bietet jedoch keine Möglichkeit zur automatischen Übertragung der letzten Datenbits von einem alten zu einem neuen primären Replikat, wenn der Verfügbarkeitsmodus asynchron war. Oracle Data Guard hingegen bietet diese Unterstützung durch das Flush Redo Feature. Dies sichert "Zero Data Loss" und beste RPO auch in erzwungenen Failover-Situationen. 9. Lesbare Sekundäre Replikate mit Einschränkungen Aufgrund des Snapshot Isolation Transaction Level für lesbare sekundäre Replikate, besitzen diese Einschränkungen mit Auswirkung auf die primäre Datenbank. Die Bereinigung von Ghost Records auf der primären Datenbank, wird beeinflusst von lang laufenden Abfragen auf der lesabaren sekundären Datenbank. Die lesbare sekundäre Datenbank kann nicht in die Verfügbarkeitsgruppe aufgenommen werden, wenn es aktive Transaktionen auf der primären Datenbank gibt. Zusätzlich können DLL Änderungen auf der primären Datenbank durch Abfragen auf der sekundären blockiert werden. Und imkrementelle Backups werden hier nicht unterstützt.   Keine dieser Restriktionen existiert unter Oracle Data Guard.

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  • Tykie

    - by Brian
    Here’s the obituary my mother wrote for Tykie, I still miss the little guy quite a bit. Anyone who’s interested in further information on hearing dogs should check out the IHDI website. I cannot begin to express how helpful a hearing dog can be for the hearing impaired. If you feel so inclined, please make a donation. In Memoriam, Tykie 1993-2010 The American Legion Post 401, South Wichita, KS, supported one of its members and commander by sponsoring a service dog for him. Unlike most service dogs this one was for the hearing impaired. Both Ocie and Betty Sims had hearing loss – Ocie more than Betty. The Post and Auxilliary had garage sales, auctions and other fund-raising endeavors to get donations for the dog. Betty made Teddy bears with growlers that were auctioned for donations to bring a hearing dog from International Hearing Dog, Henderson, Colorado. Tykie, a small wiry, salt and pepper terrier, arrived September 1, 1994 to begin his work that included attending Post 401 meetings and celebrations as well as raising more money to be donated to IHD to help others have hearing dogs. Tykie was a young dog less than a year old when he came to Wichita. He was always anxious to please and seldom barked, though he did put out a kind of cry when he was giving his urgent announcement that someone was at the door or the telephone was ringing. He also enjoyed chasing squirrels in the backyard garden that Ocie prized. In 1995, Betty almost died of a lung infection. Tykie was at the hospital with Ocie when he could visit. Several weeks after she was able to come home after a miraculous recovery, Tykie and Ocie went to a car show in downtown Wichita. Ocie’s retina tore loose in the only eye he could see out of and he almost blind was in great pain. How Ocie and Tykie got home is still a mystery, but the family legend goes that Tykie added seeing eye dog to his repertoire and helped drive him home. Health problems continued for Ocie and when he was placed in a nursing home, Tykie was moved to be Betty’s hearing dog. No problem for Tykie, he still saw his friends at the post and continued to help with visitors at the door. The night of May 3, 1999, Betty and Tykie were in the bedroom watching TV when Tykie began hitting her with both front paws as he would if something were urgent. She said later she thought he wanted to go out. As she and the dog walked down the hall towards the back of the house, Tykie hit her again with his front paws with such urgency that she fell into a small coat closet. That small 2-by-2 closet became their refuge as that very second the roof of her house went off as the f4 tornado raced through the city. Betty acquired one small wound on her hand from a piece of flying glass as she pulled Tykie into the closet with her. Tykie was a hero that day and a lot of days after. He kept Betty going as she rebuilt her home and after her husband died April 15, 2000. Tykie had to be cared for so she had to take him outside and bring him inside. He attended weddings of grandchildren and funerals of Post friends. When Betty died February 17, 2002 Tykie’s life changed again. IHD gave approval for his transfer and retirement to Betty and Ocie’s grandson, Brian Laird, who has a similar hearing loss to his grandfather. A few days after the funeral Tykie flew to his new home in Rutherford, NJ where he was able to take long walks for a couple of years before moving back to the Kansas City area. He was still full of adventure. He was written up in a book about service dogs and his story of the tornado and his picture appeared. He spent weekends at Brian’s mother’s farm to get muddy and be afraid of cats and chickens. He also took on an odyssey as he slipped from his fenced yard in Lenexa one day and walked more than seven miles in Overland Park traffic before being found by a good Samaritan who called IHD to find out where he belonged. Tykie was deaf for about the last two years of his long life and became blind as well, but he continued to strive to please. Tykie was 16 years and 4 months when he was cremated. His ashes were scattered on the graves of Betty and Ocie Sims at Greenwood Cemetery west of Wichita on the afternoon of March 21, 2010, with about a dozen family and Post 401 members. It is still the rule. Service dogs are the only dogs allowed inside the Post home. Submitted by Linda Laird, daughter of Betty and Ocie and mother of Brian Laird.

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  • Last week I was presented with a Microsoft MVP award in Virtual Machines – time to thank all who hel

    - by Liam Westley
    MVP in Virtual Machines Last week, on 1st April, I received an e-mail from Microsoft letting me know that I had been presented with a 2010 Microsoft® MVP Award for outstanding contributions in Virtual Machine technical communities during the past year.   It was an honour to be nominated, and is a great reflection on the vibrancy of the UK user group community which made this possible. Virtualisation for developers, not just IT Pros I consider it a special honour as my expertise in virtualisation is as a software developer utilising virtual machines to aid my software development, rather than an IT Pro who manages data centre and network infrastructure.  I’ve been on a minor mission over the past few years to enthuse developers in a topic usually seen as only for network admins, but which can make their life a whole lot easier once understood properly. Continuous learning is fun In 1676, the scientist Isaac Newton, in a letter to Robert Hooke used the phrase (http://www.phrases.org.uk/meanings/268025.html) ‘If I have seen a little further it is by standing on the shoulders of Giants’ I’m a nuclear physicist by education, so I am more than comfortable that any knowledge I have is based on the work of others.  Although far from a science, software development and IT is equally built upon the work of others. It’s one of the reasons I despise software patents. So in that sense this MVP award is a result of all the great minds that have provided virtualisation solutions for me to talk about.  I hope that I have always acknowledged those whose work I have used when blogging or giving presentations, and that I have executed my responsibility to share any knowledge gained as widely as possible. Thanks to all those who helped – a big thanks to the UK user group community I reckon this journey started in 2003 when I started attending a user group called the London .Net Users Group (http://www.dnug.org.uk) started by a nice chap called Ian Cooper. The great thing about Ian was that he always encouraged non professional speakers to take the stage at the user group, and my first ever presentation was on 30th September 2003; SQL Server CE 2.0 and the.NET Compact Framework. In 2005 Ian Cooper was on the committee for the first DeveloperDeveloperDeveloper! day, the free community conference held at Microsoft’s UK HQ in Thames Valley park in Reading.  He encouraged me to take part and so on 14th May 2005 I presented a talk previously given to the London .Net User Group on Simplifying access to multiple DB providers in .NET.  From that point on I definitely had the bug; presenting at DDD2, DDD3, groking at DDD4 and SQLBits I and after a break, DDD7, DDD Scotland and DDD8.  What definitely made me keen was the encouragement and infectious enthusiasm of some of the other DDD organisers; Craig Murphy, Barry Dorrans, Phil Winstanley and Colin Mackay. During the first few DDD events I met the Dave McMahon and Richard Costall from NxtGenUG who made it easy to start presenting at their user groups.  Along the way I’ve met a load of great user group organisers; Guy Smith-Ferrier of the .Net Developer Network, Jimmy Skowronski of GL.Net and the double act of Ray Booysen and Gavin Osborn behind what was Vista Squad and is now Edge UG. Final thanks to those who suggested virtualisation as a topic ... Final thanks have to go the people who inspired me to create my Virtualisation for Developers talk.  Toby Henderson (@holytshirt) ensured I took notice of Sun’s VirtualBox, Peter Ibbotson for being a fine sounding board at the Kew Railway over quite a few Adnam’s Broadside and to Guy Smith-Ferrier for allowing his user group to be the guinea pigs for the talk before it was seen at DDD7.  Thanks to all of you I now know much more about virtualisation than I would have thought possible and it continues to be great fun. Conclusion If this was an academy award acceptance speech I would have been cut off after the first few paragraphs, so well done if you made it this far.  I’ll be doing my best to do justice to the MVP award and the UK community.  I’m fortunate in having a new employer who considers presenting at user groups as a good thing, so don’t expect me to stop any time soon. If you’ve never seen me in action, then you can view the original DDD7 Virtualisation for Developers presentation (filmed by the Microsoft Channel 9 team) as part of the full DDD7 video list here, http://www.craigmurphy.com/blog/?p=1591.  Also thanks to Craig Murphy’s fine video work you can also view my latest DDD8 presentation on Commercial Software Development, here, http://vimeo.com/9216563 P.S. If I’ve missed anyone out, do feel free to lambast me in comments, it’s your duty.

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  • BizTalk Server 2009 - Architecture Options

    - by StuartBrierley
    I recently needed to put forward a proposal for a BizTalk 2009 implementation and as a part of this needed to describe some of the basic architecture options available for consideration.  While I already had an idea of the type of environment that I would be looking to recommend, I felt that presenting a range of options while trying to explain some of the strengths and weaknesses of those options was a good place to start.  These outline architecture options should be equally valid for any version of BizTalk Server from 2004, through 2006 and R2, up to 2009.   The following diagram shows a crude representation of the common implementation options to consider when designing a BizTalk environment.         Each of these options provides differing levels of resilience in the case of failure or disaster, with the later options also providing more scope for performance tuning and scalability.   Some of the options presented above make use of clustering. Clustering may best be described as a technology that automatically allows one physical server to take over the tasks and responsibilities of another physical server that has failed. Given that all computer hardware and software will eventually fail, the goal of clustering is to ensure that mission-critical applications will have little or no downtime when such a failure occurs. Clustering can also be configured to provide load balancing, which should generally lead to performance gains and increased capacity and throughput.   (A) Single Servers   This option is the most basic BizTalk implementation that should be considered. It involves the deployment of a single BizTalk server in conjunction with a single SQL server. This configuration does not provide for any resilience in the case of the failure of either server. It is however the cheapest and easiest to implement option of those available.   Using a single BizTalk server does not provide for the level of performance tuning that is otherwise available when using more than one BizTalk server in a cluster.   The common edition of BizTalk used in single server implementations is the standard edition. It should be noted however that if future demand requires increased capacity for a solution, this BizTalk edition is limited to scaling up the implementation and not scaling out the number of servers in use. Any need to scale out the solution would require an upgrade to the enterprise edition of BizTalk.   (B) Single BizTalk Server with Clustered SQL Servers   This option uses a single BizTalk server with a cluster of SQL servers. By utilising clustered SQL servers we can ensure that there is some resilience to the implementation in respect of the databases that BizTalk relies on to operate. The clustering of two SQL servers is possible with the standard edition but to go beyond this would require the enterprise level edition. While this option offers improved resilience over option (A) it does still present a potential single point of failure at the BizTalk server.   Using a single BizTalk server does not provide for the level of performance tuning that is otherwise available when using more than one BizTalk server in a cluster.   The common edition of BizTalk used in single server implementations is the standard edition. It should be noted however that if future demand requires increased capacity for a solution, this BizTalk edition is limited to scaling up the implementation and not scaling out the number of servers in use. You are also unable to take advantage of multiple message boxes, which would allow us to balance the SQL load in the event of any bottlenecks in this area of the implementation. Any need to scale out the solution would require an upgrade to the enterprise edition of BizTalk.   (C) Clustered BizTalk Servers with Clustered SQL Servers   This option makes use of a cluster of BizTalk servers with a cluster of SQL servers to offer high availability and resilience in the case of failure of either of the server types involved. Clustering of BizTalk is only available with the enterprise edition of the product. Clustering of two SQL servers is possible with the standard edition but to go beyond this would require the enterprise level edition.    The use of a BizTalk cluster also provides for the ability to balance load across the servers and gives more scope for performance tuning any implemented solutions. It is also possible to add more BizTalk servers to an existing cluster, giving scope for scaling out the solution as future demand requires.   This might be seen as the middle cost option, providing a good level of protection in the case of failure, a decent level of future proofing, but at a higher cost than the single BizTalk server implementations.   (D) Clustered BizTalk Servers with Clustered SQL Servers – with disaster recovery/service continuity   This option is similar to that offered by (C) and makes use of a cluster of BizTalk servers with a cluster of SQL servers to offer high availability and resilience in case of failure of either of the server types involved. Clustering of BizTalk is only available with the enterprise edition of the product. Clustering of two SQL servers is possible with the standard edition but to go beyond this would require the enterprise level edition.    As with (C) the use of a BizTalk cluster also provides for the ability to balance load across the servers and gives more scope for performance tuning the implemented solution. It is also possible to add more BizTalk servers to an existing cluster, giving scope for scaling the solution out as future demand requires.   In this scenario however, we would be including some form of disaster recovery or service continuity. An example of this would be making use of multiple sites, with the BizTalk server cluster operating across sites to offer resilience in case of the loss of one or more sites. In this scenario there are options available for the SQL implementation depending on the network implementation; making use of either one cluster per site or a single SQL cluster across the network. A multi-site SQL implementation would require some form of data replication across the sites involved.   This is obviously an expensive and complex option, but does provide an extraordinary amount of protection in the case of failure.

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  • Cant correctly install Lazarus

    - by user206316
    I have a little problem with installing and running Lazarus. I just upgrade ubuntu from 13.04 to 13.10. When i had 13.04, i could install lazarus without any problems, but in 13.10 lazarus magicaly dissapeared, and when i tried install it from ubuntu software center, it said something like in my software resources lazarus-ide-0.9.30.4 doesnt exist. After some research on net i tried delete all files from earlier installations, download deb packages from sourceforge and install them, but when i want to instal fpc-src, error shows up with output: (Reading database ... 100% (Reading database ... 239063 files and directories currently installed.) Unpacking fpc-src (from .../Stiahnut/Lazarus/fpc-src.deb) ... dpkg: error processing /home/richi/Stiahnut/Lazarus/fpc-src.deb (--install): trying to overwrite '/usr/share/fpcsrc/2.6.2/rtl/nativent/tthread.inc', which is also in package fpc-source-2.6.2 2.6.2-5 dpkg-deb (subprocess): decompressing archive member: internal gzip write error: Broken pipe dpkg-deb: error: subprocess <decompress> returned error exit status 2 dpkg-deb (subprocess): cannot copy archive member from '/home/richi/Stiahnut/Lazarus/fpc-src.deb' to decompressor pipe: failed to write (Broken pipe) when i started lazarus, it of course tell me that it cant find fpc compier and fpc sources. So, please, i really need program for school and i dont wanna reinstall os anymore or something like that :( (Ubuntu 13.10 64bit) P.S: im not skilled in linux so if u know some commands to fix it just write them for copy and paste :) P.P.S:Sorry for bad English, im Slovak xD P.P.P.S: Thank so much for any answers update: output from sudo dpkg -l | grep "^rc" richi@Richi-Ubuntu:~/lazarus1.0.12$ sudo dpkg -l | grep "^rc" rc account-plugin-generic-oauth 0.10bzr13.03.26-0ubuntu1.1 amd64 GNOME Control Center account plugin for single signon - generic OAuth rc appmenu-gtk:amd64 12.10.3daily13.04.03-0ubuntu1 amd64 Export GTK menus over DBus rc appmenu-gtk3:amd64 12.10.3daily13.04.03-0ubuntu1 amd64 Export GTK menus over DBus rc fp-compiler-2.6.0 2.6.0-9 amd64 Free Pascal - compiler rc fp-utils-2.6.0 2.6.0-9 amd64 Free Pascal - utilities rc lazarus-ide-0.9.30.4 0.9.30.4-4 amd64 IDE for Free Pascal - common IDE files rc lazarus-ide-1.0.10 1.0.10+dfsg-1 amd64 IDE for Free Pascal - common IDE files rc lcl-utils-0.9.30.4 0.9.30.4-4 amd64 Lazarus Components Library - command line build tools rc lcl-utils-1.0.10 1.0.10+dfsg-1 amd64 Lazarus Components Library - command line build tools rc libbamf3-1:amd64 0.4.0daily13.06.19~13.04-0ubuntu1 amd64 Window matching library - shared library rc libboost-filesystem1.49.0 1.49.0-4 amd64 filesystem operations (portable paths, iteration over directories, etc) in C++ rc libboost-signals1.49.0 1.49.0-4 amd64 managed signals and slots library for C++ rc libboost-system1.49.0 1.49.0-4 amd64 Operating system (e.g. diagnostics support) library rc libboost-thread1.49.0 1.49.0-4 amd64 portable C++ multi-threading rc libbrlapi0.5:amd64 4.4-8ubuntu4 amd64 braille display access via BRLTTY - shared library rc libcamel-1.2-40 3.6.4-0ubuntu1.1 amd64 Evolution MIME message handling library rc libcolumbus0-0 0.4.0daily13.04.16~13.04-0ubuntu1 amd64 error tolerant matching engine - shared library rc libdns95 1:9.9.2.dfsg.P1-2ubuntu2.1 amd64 DNS Shared Library used by BIND rc libdvbpsi7 0.2.2-1 amd64 library for MPEG TS and DVB PSI tables decoding and generating rc libebackend-1.2-5 3.6.4-0ubuntu1.1 amd64 Utility library for evolution data servers rc libedata-book-1.2-15 3.6.4-0ubuntu1.1 amd64 Backend library for evolution address books rc libedata-cal-1.2-18 3.6.4-0ubuntu1.1 amd64 Backend library for evolution calendars rc libgc1c3:amd64 1:7.2d-0ubuntu5 amd64 conservative garbage collector for C and C++ rc libgd2-xpm:amd64 2.0.36~rc1~dfsg-6.1ubuntu1 amd64 GD Graphics Library version 2 rc libgd2-xpm:i386 2.0.36~rc1~dfsg-6.1ubuntu1 i386 GD Graphics Library version 2 rc libgnome-desktop-3-4 3.6.3-0ubuntu1 amd64 Utility library for loading .desktop files - runtime files rc libgphoto2-2:amd64 2.4.14-2 amd64 gphoto2 digital camera library rc libgphoto2-2:i386 2.4.14-2 i386 gphoto2 digital camera library rc libgphoto2-port0:amd64 2.4.14-2 amd64 gphoto2 digital camera port library rc libgphoto2-port0:i386 2.4.14-2 i386 gphoto2 digital camera port library rc libgtksourceview-3.0-0:amd64 3.6.3-0ubuntu1 amd64 shared libraries for the GTK+ syntax highlighting widget rc libgweather-3-1 3.6.2-0ubuntu1 amd64 GWeather shared library rc libharfbuzz0:amd64 0.9.13-1 amd64 OpenType text shaping engine rc libibus-1.0-0:amd64 1.4.2-0ubuntu2 amd64 Intelligent Input Bus - shared library rc libical0 0.48-2 amd64 iCalendar library implementation in C (runtime) rc libimobiledevice3 1.1.4-1ubuntu6.2 amd64 Library for communicating with the iPhone and iPod Touch rc libisc92 1:9.9.2.dfsg.P1-2ubuntu2.1 amd64 ISC Shared Library used by BIND rc libkms1:amd64 2.4.46-1 amd64 Userspace interface to kernel DRM buffer management rc libllvm3.2:i386 1:3.2repack-7ubuntu1 i386 Low-Level Virtual Machine (LLVM), runtime library rc libmikmod2:amd64 3.1.12-5 amd64 Portable sound library rc libpackagekit-glib2-14:amd64 0.7.6-3ubuntu1 amd64 Library for accessing PackageKit using GLib rc libpoppler28:amd64 0.20.5-1ubuntu3 amd64 PDF rendering library rc libraw5:amd64 0.14.7-0ubuntu1.13.04.2 amd64 raw image decoder library rc librhythmbox-core6 2.98-0ubuntu5 amd64 support library for the rhythmbox music player rc libsdl-mixer1.2:amd64 1.2.12-7ubuntu1 amd64 Mixer library for Simple DirectMedia Layer 1.2, libraries rc libsnmp15 5.4.3~dfsg-2.7ubuntu1 amd64 SNMP (Simple Network Management Protocol) library rc libsyncdaemon-1.0-1 4.2.0-0ubuntu1 amd64 Ubuntu One synchronization daemon library rc libunity-core-6.0-5 7.0.0daily13.06.19~13.04-0ubuntu1 amd64 Core library for the Unity interface. rc libusb-0.1-4:i386 2:0.1.12-23.2ubuntu1 i386 userspace USB programming library rc libwayland0:amd64 1.0.5-0ubuntu1 amd64 wayland compositor infrastructure - shared libraries rc linux-image-3.8.0-19-generic 3.8.0-19.30 amd64 Linux kernel image for version 3.8.0 on 64 bit x86 SMP rc linux-image-3.8.0-31-generic 3.8.0-31.46 amd64 Linux kernel image for version 3.8.0 on 64 bit x86 SMP rc linux-image-extra-3.8.0-19-generic 3.8.0-19.30 amd64 Linux kernel image for version 3.8.0 on 64 bit x86 SMP rc linux-image-extra-3.8.0-31-generic 3.8.0-31.46 amd64 Linux kernel image for version 3.8.0 on 64 bit x86 SMP rc screen-resolution-extra 0.15ubuntu1 all Extension for the GNOME screen resolution applet rc unity-common 7.0.0daily13.06.19~13.04-0ubuntu1 all Common files for the Unity interface.

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  • Does IntelliJ-Idea support Groovy 2.x?

    - by Freewind
    I just tried IntelliJ-Idea 11.x and 12.x (EPA), but when I use Groovy 2.0.1 or 2.0.5, the code can't be run and there are some errors out there. The Groovy plugin of idea has little information about which version of Groovy has been supported. Does idea support Groovy 2.x? I want to try the new @TypeChecked annotation of Groovy 2. UPDATE My groovy code: class X { def hello() { println("hello, groovy") } def static main(String[] args) { new X().hello() } } It uses groovy 2.0.5: And the error thrown: E:\java\jdk1.6.0_29_x64\bin\java -Didea.launcher.port=7532 "-Didea.launcher.bin.path=E:\java\IntelliJ IDEA 11.1.4\bin" -Dfile.encoding=UTF-8 -classpath "E:\java\jdk1.6.0_29_x64\jre\lib\charsets.jar;E:\java\jdk1.6.0_29_x64\jre\lib\deploy.jar;E:\java\jdk1.6.0_29_x64\jre\lib\javaws.jar;E:\java\jdk1.6.0_29_x64\jre\lib\jce.jar;E:\java\jdk1.6.0_29_x64\jre\lib\jsse.jar;E:\java\jdk1.6.0_29_x64\jre\lib\management-agent.jar;E:\java\jdk1.6.0_29_x64\jre\lib\plugin.jar;E:\java\jdk1.6.0_29_x64\jre\lib\resources.jar;E:\java\jdk1.6.0_29_x64\jre\lib\rt.jar;E:\java\jdk1.6.0_29_x64\jre\lib\ext\dcevm.jar;E:\java\jdk1.6.0_29_x64\jre\lib\ext\dnsns.jar;E:\java\jdk1.6.0_29_x64\jre\lib\ext\localedata.jar;E:\java\jdk1.6.0_29_x64\jre\lib\ext\sunjce_provider.jar;E:\WORKSPACE\TestGroovy2\out\production\TestGroovy2;E:\java\groovy-2.0.5\lib\ant-1.8.4.jar;E:\java\groovy-2.0.5\lib\ant-antlr-1.8.4.jar;E:\java\groovy-2.0.5\lib\ant-junit-1.8.4.jar;E:\java\groovy-2.0.5\lib\ant-launcher-1.8.4.jar;E:\java\groovy-2.0.5\lib\antlr-2.7.7.jar;E:\java\groovy-2.0.5\lib\asm-4.0.jar;E:\java\groovy-2.0.5\lib\asm-analysis-4.0.jar;E:\java\groovy-2.0.5\lib\asm-commons-4.0.jar;E:\java\groovy-2.0.5\lib\asm-tree-4.0.jar;E:\java\groovy-2.0.5\lib\asm-util-4.0.jar;E:\java\groovy-2.0.5\lib\bsf-2.4.0.jar;E:\java\groovy-2.0.5\lib\commons-cli-1.2.jar;E:\java\groovy-2.0.5\lib\commons-logging-1.1.1.jar;E:\java\groovy-2.0.5\lib\gpars-1.0-beta-3.jar;E:\java\groovy-2.0.5\lib\groovy-2.0.5.jar;E:\java\groovy-2.0.5\lib\groovy-ant-2.0.5.jar;E:\java\groovy-2.0.5\lib\groovy-bsf-2.0.5.jar;E:\java\groovy-2.0.5\lib\groovy-console-2.0.5.jar;E:\java\groovy-2.0.5\lib\groovy-docgenerator-2.0.5.jar;E:\java\groovy-2.0.5\lib\groovy-groovydoc-2.0.5.jar;E:\java\groovy-2.0.5\lib\groovy-groovysh-2.0.5.jar;E:\java\groovy-2.0.5\lib\groovy-jmx-2.0.5.jar;E:\java\groovy-2.0.5\lib\groovy-json-2.0.5.jar;E:\java\groovy-2.0.5\lib\groovy-jsr223-2.0.5.jar;E:\java\groovy-2.0.5\lib\groovy-servlet-2.0.5.jar;E:\java\groovy-2.0.5\lib\groovy-sql-2.0.5.jar;E:\java\groovy-2.0.5\lib\groovy-swing-2.0.5.jar;E:\java\groovy-2.0.5\lib\groovy-templates-2.0.5.jar;E:\java\groovy-2.0.5\lib\groovy-test-2.0.5.jar;E:\java\groovy-2.0.5\lib\groovy-testng-2.0.5.jar;E:\java\groovy-2.0.5\lib\groovy-xml-2.0.5.jar;E:\java\groovy-2.0.5\lib\hamcrest-core-1.1.jar;E:\java\groovy-2.0.5\lib\ivy-2.2.0.jar;E:\java\groovy-2.0.5\lib\jansi-1.6.jar;E:\java\groovy-2.0.5\lib\jcommander-1.12.jar;E:\java\groovy-2.0.5\lib\jline-1.0.jar;E:\java\groovy-2.0.5\lib\jsp-api-2.0.jar;E:\java\groovy-2.0.5\lib\jsr166y-1.7.0.jar;E:\java\groovy-2.0.5\lib\junit-4.10.jar;E:\java\groovy-2.0.5\lib\qdox-1.12.jar;E:\java\groovy-2.0.5\lib\servlet-api-2.4.jar;E:\java\groovy-2.0.5\lib\testng-6.5.2.jar;E:\java\groovy-2.0.5\lib\xmlpull-1.1.3.1.jar;E:\java\groovy-2.0.5\lib\xstream-1.4.2.jar;E:\java\IntelliJ IDEA 11.1.4\lib\idea_rt.jar" com.intellij.rt.execution.application.AppMain X Exception in thread "main" java.lang.IncompatibleClassChangeError: Found interface org.objectweb.asm.MethodVisitor, but class was expected at org.codehaus.groovy.runtime.callsite.CallSiteGenerator.genConstructor(CallSiteGenerator.java:141) at org.codehaus.groovy.runtime.callsite.CallSiteGenerator.genPogoMetaMethodSite(CallSiteGenerator.java:162) at org.codehaus.groovy.runtime.callsite.CallSiteGenerator.compilePogoMethod(CallSiteGenerator.java:215) at org.codehaus.groovy.reflection.CachedMethod.createPogoMetaMethodSite(CachedMethod.java:228) at org.codehaus.groovy.runtime.callsite.PogoMetaMethodSite.createCachedMethodSite(PogoMetaMethodSite.java:212) at org.codehaus.groovy.runtime.callsite.PogoMetaMethodSite.createPogoMetaMethodSite(PogoMetaMethodSite.java:188) at groovy.lang.MetaClassImpl.createPogoCallSite(MetaClassImpl.java:3035) at org.codehaus.groovy.runtime.callsite.CallSiteArray.createPogoSite(CallSiteArray.java:147) at org.codehaus.groovy.runtime.callsite.CallSiteArray.createCallSite(CallSiteArray.java:161) at org.codehaus.groovy.runtime.callsite.CallSiteArray.defaultCall(CallSiteArray.java:45) at org.codehaus.groovy.runtime.callsite.AbstractCallSite.call(AbstractCallSite.java:108) at org.codehaus.groovy.runtime.callsite.AbstractCallSite.call(AbstractCallSite.java:112) at X.main(sta.groovy:6) at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:39) at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:25) at java.lang.reflect.Method.invoke(Method.java:597) at com.intellij.rt.execution.application.AppMain.main(AppMain.java:120) Process finished with exit code 1

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  • Social Network Updates: While You Were Busy Marketing 2

    - by Mike Stiles
    Since social moves at the speed of data, it’s already time for another update, as we did back in April, on the changes the various social networks have made or gone through while you were busy marketing. Facebook There’s a lot of talk Facebook’s developing a mobile product to act like Flipboard and surface news, from both users and media outlets. The biggest news was Facebook/Instagram’s introduction of 15-second videos, enhanced with with filters, to take some of Vine’s candy. You can also delete parts of videos and rerecord them, and there’s image stabilization. Facebook’s ad revenue is coming along just fine, thank you very much. 35% quarter-to-quarter growth in Q2. And it looks like new formats like Mobile App Install Ads and Unpublished Page Posts are adding to the mix. If you don’t already, you’ll soon see a little camera in comment boxes letting you insert photos right into the comments you make. The drive toward “more visual” continues. The other big news is Facebook’s adoption of our Twitter friend, the hashtag. Adding # sets apart the post topic so it can be easily found or discovered. It’s also being added to Google Plus, Tumblr, and Pinterest. Twitter Want to send someone a promoted tweet when they’re in range of your store? That could be happening by the end of this year. Some users have been seeing automatic in-stream previews of images on Twitter.com. Right now it’s images in your own tweets, but we can assume all tweets are next. Get your followers organized! Twitter raised the limit on the number of lists you can create from 20 to 1,000. They also raised the number of accounts you can have in a list from 500 to 5,000. Twitter started notifying you when someone favorites a tweet you’re mentioned in or re-tweets a tweet you re-tweeted. Anyway, it’s the first time Twitter’s notified you about indirect interactions like that. Who’s afraid of Instagram? A study shows 6-second Vine videos are being posted to Twitter at the rate of 9/second, up from 5/second 2 months ago. Vine has over 13 million users and branded Vines are 4x more likely to be shared than video ads. Google Plus Now featuring a 3-column redesigned stream, and images that take up a whole column. And photo filters Auto Highlight and Auto Awesome work to turn your photos into a real show. Google Hangouts is the workhorse for all Google messaging now, it’s not just an online chat with 9 people anymore. Google Plus Dashboard improves the connection between your company’s Google Plus business page and your Google Plus Local. Updates go out across all Google properties and you can do your managing from the dashboard. With Google Plus’ authorship system, you can build “Author Rank” based on what you write and put on the web. If your stuff is +1’ed and shared a lot, you’re the real deal and there are search result benefits. LinkedIn "Who's Viewed Your Updates" shows you what you’ve shared recently, who saw it and what they did about it in real-time. “Influencers” is, well, influential. Traffic to all LI news products has gone up 8x since it was introduced. LinkedIn is quickly figuring out how to get users to stick around awhile. You and your brand can post images and documents in status updates now. In fact, that whole “document posting” thing is making some analysts wonder if LinkedIn will drift on over to the Dropboxes and YouSendIts of the world. C’mon, admit it. Your favorite part of LinkedIn is being able to see who’s viewed your profile. Now you’ve got even more info and can see what/who you have in common. Premium users get even deeper insights about how people are finding them. If you’re a big fan of security, you’ll love that LinkedIn started offering two-factor authentication (2FA). It’s optional, but step 2 is a one-time code texted to your registered mobile. Pinterest A study showed pins have a looong shelf life compared to other social net posts. “Clicks kept coming for 30 days and beyond.” Most pins are timeless, and the infinite scroll causes people to see older pins. Is it a keeper? Pinterest jumped 82% to 54 million users in the past year. It’s valued at $2.5 billion and is one of the biggest sources of referral traffic there is. That said, CEO Ben Silbermann adds, "Right now, we don't make money." A new search feature stops you from having to endlessly scroll through your own pins looking for that waterfall picture you posted. Simply select “just my pins” in the search bar. New "Rich Pins" lets brands add info like price and availability to pins that can be updated daily via a data feed from your merchant site. Not so fast, you have to apply to Pinterest for it first. Like other social nets, Pinterest does not allow sexual content, nudity, or even partial nudity. However…some art contains nudity, and Pinterest wants to allow art. What constitutes “art” will be judged by…what we have to assume are Pinterest employees who love their job. @mikestilesPhoto: stock.xchng, Tim Marmon

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  • Troubleshooting Application Timeouts in SQL Server

    - by Tara Kizer
    I recently received the following email from a blog reader: "We are having an OLTP database instance, using SQL Server 2005 with little to moderate traffic (10-20 requests/min). There are also bulk imports that occur at regular intervals in this DB and the import duration ranges between 10secs to 1 min, depending on the data size. Intermittently (2-3 times in a week), we face an issue, where queries get timed out (default of 30 secs set in application). On analyzing, we found two stored procedures, having queries with multiple table joins inside them of taking a long time (5-10 mins) in getting executed, when ideally the execution duration ranges between 5-10 secs. Execution plan of the same displayed Clustered Index Scan happening instead of Clustered Index Seek. All required Indexes are found to be present and Index fragmentation is also minimal as we Rebuild Indexes regularly alongwith Updating Statistics. With no other alternate options occuring to us, we restarted SQL server and thereafter the performance was back on track. But sometimes it was still giving timeout errors for some hits and so we also restarted IIS and that stopped the problem as of now." Rather than respond directly to the blog reader, I thought it would be more interesting to share my thoughts on this issue in a blog. There are a few things that I can think of that could cause abnormal timeouts: Blocking Bad plan in cache Outdated statistics Hardware bottleneck To determine if blocking is the issue, we can easily run sp_who/sp_who2 or a query directly on sysprocesses (select * from master..sysprocesses where blocking <> 0).  If blocking is present and consistent, then you'll need to determine whether or not to kill the parent blocking process.  Killing a process will cause the transaction to rollback, so you need to proceed with caution.  Killing the parent blocking process is only a temporary solution, so you'll need to do more thorough analysis to figure out why the blocking was present.  You should look into missing indexes and perhaps consider changing the database's isolation level to READ_COMMITTED_SNAPSHOT. The blog reader mentions that the execution plan shows a clustered index scan when a clustered index seek is normal for the stored procedure.  A clustered index scan might have been chosen either because that is what is in cache already or because of out of date statistics.  The blog reader mentions that bulk imports occur at regular intervals, so outdated statistics is definitely something that could cause this issue.  The blog reader may need to update statistics after imports are done if the imports are changing a lot of data (greater than 10%).  If the statistics are good, then the query optimizer might have chosen to scan rather than seek in a previous execution because the scan was determined to be less costly due to the value of an input parameter.  If this parameter value is rare, then its execution plan in cache is what we call a bad plan.  You want the best plan in cache for the most frequent parameter values.  If a bad plan is a recurring problem on your system, then you should consider rewriting the stored procedure.  You might want to break up the code into multiple stored procedures so that each can have a different execution plan in cache. To remove a bad plan from cache, you can recompile the stored procedure.  An alternative method is to run DBCC FREEPROCACHE which drops the procedure cache.  It is better to recompile stored procedures rather than dropping the procedure cache as dropping the procedure cache affects all plans in cache rather than just the ones that were bad, so there will be a temporary performance penalty until the plans are loaded into cache again. To determine if there is a hardware bottleneck occurring such as slow I/O or high CPU utilization, you will need to run Performance Monitor on the database server.  Hopefully you already have a baseline of the server so you know what is normal and what is not.  Be on the lookout for I/O requests taking longer than 12 milliseconds and CPU utilization over 90%.  The servers that I support typically are under 30% CPU utilization, but your baseline could be higher and be within a normal range. If restarting the SQL Server service fixes the problem, then the problem was most likely due to blocking or a bad plan in the procedure cache.  Rather than restarting the SQL Server service, which causes downtime, the blog reader should instead analyze the above mentioned things.  Proceed with caution when restarting the SQL Server service as all transactions that have not completed will be rolled back at startup.  This crash recovery process could take longer than normal if there was a long-running transaction running when the service was stopped.  Until the crash recovery process is completed on the database, it is unavailable to your applications. If restarting IIS fixes the problem, then the problem might not have been inside SQL Server.  Prior to taking this step, you should do analysis of the above mentioned things. If you can think of other reasons why the blog reader is facing this issue a few times a week, I'd love to hear your thoughts via a blog comment.

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  • Lessons from a SAN Failure

    - by Bill Graziano
    At 1:10AM Sunday morning the main SAN at one of my clients suffered a “partial” failure.  Partial means that the SAN was still online and functioning but the LUNs attached to our two main SQL Servers “failed”.  Failed means that SQL Server wouldn’t start and the MDF and LDF files mostly showed a zero file size.  But they were online and responding and most other LUNs were available.  I’m not sure how SANs know to fail at 1AM on a Saturday night but they seem to.  From a personal standpoint this worked out poorly: I was out with friends and after more than a few drinks.  From a work standpoint this was about the best time to fail you could imagine.  Everything was running well before Monday morning.  But it was a long, long Sunday.  I started tipsy, got tired and ended up hung over later in the day. Note to self: Try not to go out drinking right before the SAN fails. This caught us at an interesting time.  We’re in the process of migrating to an entirely new set of servers so some things were partially moved.  This made it difficult to follow our procedures as cleanly as we’d like.  The benefit was that we had much better documentation of everything on the server.  I would encourage everyone to really think through the process of implementing your DR plan and document as much as possible.  Following a checklist is much easier than trying to remember at night under pressure in a hurry after a few drinks. I had a series of estimates on how long things would take.  They were accurate for any single server failure.  They weren’t accurate for a SAN failure that took two servers down.  This wasn’t bad but we should have communicated better. Don’t forget how many things are outside the database.  Logins, linked servers, DTS packages (yikes!), jobs, service broker, DTC (especially DTC), database triggers and any objects in the master database are all things you need backed up.  We’d done a decent job on this and didn’t find significant problems here.  That said this still took a lot of time.  There were many annoyances as a result of this.  Small settings like a login’s default database had a big impact on whether an application could run.  This is probably the single biggest area of concern when looking to recreate a server.  I’d encourage everyone to go through every single node of SSMS and look for user created objects or settings outside the database. Script out your logins with the proper SID and already encrypted passwords and keep it updated.  This makes life so much easier.  I used an approach based on KB246133 that worked well.  I’ll get my scripts posted over the next few days. The disaster can cause your DR process to fail in unexpected ways.  We have a job that scripts out all logins and role memberships and writes it to a file.  This runs on the DR server and pulls from the production server.  Upon opening the file I found that the contents were a “server not found” error.  Fortunately we had other copies and didn’t need to try and restore the master database.  This now runs on the production server and pushes the script to the DR site.  Soon we’ll get it pushed to our version control software. One of the biggest challenges is keeping your DR resources up to date.  Any server change (new linked server, new SQL Server Agent job, etc.) means that your DR plan (and scripts) is out of date.  It helps to automate the generation of these resources if possible. Take time now to test your database restore process.  We test ours quarterly.  If you have a large database I’d also encourage you to invest in a compressed backup solution.  Restoring backups was the single larger consumer of time during our recovery. And yes, there’s a database mirroring solution planned in our new architecture. I didn’t have much involvement in things outside SQL Server but this caused many, many things to change in our environment.  Many applications today aren’t just executables or web sites.  They are a combination of those plus network infrastructure, reports, network ports, IP addresses, DTS and SSIS packages, batch systems and many other things.  These all needed a little bit of attention to make sure they were functioning properly. Profiler turned out to be a handy tool.  I started a trace for failed logins and kept that running.  That let me fix a number of problems before people were able to report them.  I also ran traces to capture exceptions.  This helped identify problems with linked servers. Overall the thing that gave me the most problem was linked servers.  In order for a linked server to function properly you need to be pointed to the right server, have the proper login information, have the network routes available and have MSDTC configured properly.  We have a lot of linked servers and this created many failure points.  Some of the older linked servers used IP addresses and not DNS names.  This meant we had to go in and touch all those linked servers when the servers moved.

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  • Developer Training – Employee Morals and Ethics – Part 2

    - by pinaldave
    Developer Training - Importance and Significance - Part 1 Developer Training – Employee Morals and Ethics – Part 2 Developer Training – Difficult Questions and Alternative Perspective - Part 3 Developer Training – Various Options for Developer Training – Part 4 Developer Training – A Conclusive Summary- Part 5 If you have been reading this series of posts about Developer Training, you can probably determine where my mind lies in the matter – firmly “pro.”  There are many reasons to think that training is an excellent idea for the company.  In the end, it may seem like the company gets all the benefits and the employee has just wasted a few hours in a dark, stuffy room.  However, don’t let yourself be fooled, this is not the case! Training, Company and YOU! Do not forget, that as an employee, you are your company’s best asset.  Training is meant to benefit the company, of course, but in the end, YOU, the employee, is the one who walks away with a lot of useful knowledge in your head.  This post will discuss what to do with that knowledge, how to acquire it, and who should pay for it. Eternal Question – Who Pays for Training? When the subject of training comes up, money is often the sticky issue.  Some companies will argue that because the employee is the one who benefits the most, he or she should pay for it.  Of course, whenever money is discuss, emotions tend to follow along, and being told you have to pay money for mandatory training often results in very unhappy employees – the opposite result of what the training was supposed to accomplish.  Therefore, many companies will pay for the training.  However, if your company is reluctant to pay for necessary training, or is hesitant to pay for a specific course that is extremely expensive, there is always the art of compromise.  The employee and the company can split the cost of the training – after all, both the company and the employee will be benefiting. [Click on following image to answer important question] Click to Enlarge  This kind of “hybrid” pay scheme can be split any way that is mutually beneficial.  There is the obvious 50/50 split, but for extremely expensive classes or conferences, this still might be prohibitively expensive for the employee.  If you are facing this situation, here are some example solutions you could suggest to your employer:  travel reimbursement, paid leave, payment for only the tuition.  There are even more complex solutions – the company could pay back the employee after the training and project has been completed. Training is not Vacation Once the classes have been settled on, and the question of payment has been answered, it is time to attend your class or travel to your conference!  The first rule is one that your mothers probably instilled in you as well – have a good attitude.  While you might be looking forward to your time off work, going to an interesting class, hopefully with some friends and coworkers, but do not mistake this time as a vacation.  It can be tempting to only have fun, but don’t forget to learn as well.  I call this “attending sincerely.”  Pay attention, have an open mind and good attitude, and don’t forget to take notes!  You might be surprised how many people will want to see what you learned when you go back. Report Back the Learning When you get back to work, those notes will come in handy.  Your supervisor and coworkers might want you to give a short presentation about what you learned.  Attending these classes can make you almost a celebrity.  Don’t be too nervous about these presentations, and don’t feel like they are meant to be a test of your dedication.  Many people will be genuinely curious – and maybe a little jealous that you go to go learn something new.  Be generous with your notes and be willing to pass your learning on to others through mini-training sessions of your own. [Click on following image to answer important question] Click to Enlarge Practice New Learning On top of helping to train others, don’t forget to put your new knowledge to use!  Your notes will come in handy for this, and you can even include your plans for the future in your presentation when you return.  This is a good way to demonstrate to your bosses that the money they paid (hopefully they paid!) is going to be put to good use. Feedback to Manager When you return, be sure to set aside a few minutes to talk about your training with your manager.  Be perfectly honest – your manager wants to know the good and the bad.  If you had a truly miserable time, do not lie and say it was the best experience – you and others may be forced to attend the same training over and over again!  Of course, you do not want to sound like a complainer, so make sure that your summary includes the good news as well.  Your manager may be able to help you understand more of what they wanted you to learn, too. Win-Win Situation In the end, remember that training is supposed to be a benefit to the employer as well as the employee.  Make sure that you share your information and that you give feedback about how you felt the sessions went as well as how you think this training can be implemented at the company immediately. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: Developer Training, PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL, Technology

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  • 2010 Collaboration Summit Impressions

    - by Elena Zannoni
    It's a bit late, but there you have it anyway. April 14 to 16 I attended the Linux Foundation Collaboration Summit in SFO. I was running two tracks, one on tracing and one on tools. You can see the tracks and the slides here: http://events.linuxfoundation.org/events/collaboration-summit/slides I was pretty busy both days, Thursday with a whole day tracing track, Friday with a half day toolchain track. The sessions were well attended, the rooms were full, with people spilling in the hallways. Some new things were presented, like Kernelshark, by Steve Rostedt, a GUI (yes, believe it or not, a GUI) written in GTK. It is very nice, showing a timeline for traced kernel events, and you can zoom in and filter at will. It works on the latest kernels, and it requires some new things/fixes in GTK. I don't recall exactly what version of GTK though. Dominique Toupin from Ericsson presented something about user requirements for tracing. Mostly though about who's who in the embedded world, and eclipse. Masami and Mathieu presented an update on their work. See their slides. The interesting thing to me was of course the new version of uprobes w/o underlying utrace presented by Jim Keniston. At the end of the session we had a discussion about the future of utrace. Roland wasn't there, butTom Tromey (also from RedHat) collected the feedback. Basically we are at a standstill now that utrace has been rejected yet again. There wasn't much advise that anybody could give, except jokingly, we decided that the only way in is to make it a part of perf events. There needs to be another refactoring, but most of all, this "killer app" that would be enabled because of utrace hasn't materialized yet. We think that having a good debugging story on Linux is enough of a killer app, for instance allowing multiple tracers, and not relying on SIGCHLD etc. I think this wasn't completely clear to the kernel community. Trying to achieve debugging via a gdb stub inside the kernel interfacing to utrace and that is controlled via the gdb remote protocol also lost its appeal (thankfully, since the gdb remote protocol is archaic). Somebody would have to be creative in how to submit utrace. It doesn't have to be called utrace (it was really a random choice, for lack of a letter that was not already used in front of the word "trace"). So basically, I think the ideas behind utrace are sound, and the necessity of a new interface is acknowledged. But I believe the integration/submission process with the kernel folks has to restart from scratch, clean slate. We'll see. There are many conferences and meetings coming up in the near future where things can be discussed further. On the second day, Friday, we had the tools talks. It was interesting to observe the more "kernel" oriented people's behavior towards the gcc etc community. The first talk was by Mark Mitchell, about Gcc and its new plugin architecture. After that, Paolo talked about the new C++1x standard, which will be finalized in 2011. Many features are already implemented in the libstdc++ library and gcc and usable today. We had a few minutes (really, the half day track was quite short) where Bradley Kuhn from the Software Freedom Law Center explained the GPLv3 exception for gcc (due to the new gcc plugin architecture and the availability of the intermediate results from the compilation, which is a new thing). I will not try to explain, but basically you cannot take the result of the preprocessing and then use that in your own proprietary compiler. After, we had a talk by Ian Taylor about the new Gold linker. One good thing in that area is that they are trying to make gold the new default linker (for instance Fedora will use gold as the distro linker). However gold is very different from binutils' old linker. It doesn't use a linker script, for instance. The kernel has been linked with gold many times as an exercise (the ground work was done by Kris Van Hees), but this needs to be constantly tested/monitored because the kernel linker script is very complex, and uses esoteric features (Wenji is now monitoring that each kernel RC can be built with gold). It was positive that people are now aware of gold and the need for it to be ported to more architectures. It seems that the porting is very easy, with little arch dependent code. Finally Tom Tromey presented about gdb and the archer project. Archer is a development branch of gdb mostly done by RedHat, where they are focusing on better c++ printing, c++ expression parsing, and plugins. The archer work is merged regularly in the gdb mainline. In general it was a good conference. I did miss most of the first day, because that's when I flew in. But I caught a couple of talks. Nothing earth shattering, except for Google giving each person registered a free Android phone. Yey.

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  • Using the “Settings.settings” functionalities in VB.NET can be tricky…

    - by Vincent Grondin
    Sometime you’re searching for something forever and when you find it, you realize it was right under your nose.  Maybe you were distracted by other things around… or maybe that thing right under your nose was so well hidden that it deserves a blog post…   That happened to me a few days ago while using the “Settings.settings” functionalities in my VB.NET application…  I thought it was a cool feature and I decided to use it…  So there I am adding new settings with “USER” scope and StringCollection as the data type, testing my application and everything works perfectly fine...  That was before I decided to modify the “Value” of one of my settings…  After changing the value of one of my settings, I start my application again and, to my surprise, my new values aren’t showing!  Hmmm… That’s odd…  My setting was a pretty long list of strings so I was rather angry at myself for not saving my work after I was done…  So I open up the Settings.setting in the designer and click the ellipsis symbol to enter my string collection again, but to my great pleasure (and disbelief) my strings are there!!!  Alright, you rock VB.NET!  You’ve just save me a bunch of typing time and I’m thinking it’s just a simple Visual Studio glitch…  I hit “Save” then “Save All” (just in case) and finally I rebuild everything and fire up my app once again.  Huh?  Where are my darn strings????????  Ok there’s a bug there…  I open up the app.config and my new strings are there!!!  Alright, let’s recap…  My new strings are in the app.config, they show correctly in the Settings.settings designer UI but they aren’t showing at runtime…  Hmmmm?  Let’s try something else…  Let’s start the application but outside Visual Studio this time… I fire up the exe and BAM!  My strings where there!  I “alt-tab” and hit “F5” and BOOM, no strings!  So it’s a bug in the Visual Studio environment… or could it be a FEATURE?  I must admit that I’m a little confused over what’s a bug and what’s a feature in Visual Studio… lol!   Finally I found out there’s a “cache” for your Visual Studio located here:  C:\Users\<your username>\AppData\Local\Microsoft\<your app name and a very weird temp ID>\<your app version>\user.config When using the “Settings.settings” with a setting of scope “user”, this file is out of sync with your app.config until you manually decide to update it… The button is right there… under your nose… at the top left corner of your screen in the settings designer…  See the big “Synchronize” button there?  Yep…  Now that’s user friendly isn’t it?  Oh, and wait until you see what it does when you click it…  It prompts you and basically says:  “Would you like your settings to start working inside Visual Studio now that you found out that I exist?” and of course the right answer is yes… or rather “OK”…  Unfortunately, you have to do this every time you edit a value… On the other hand, adding and removing settings seem to work flawlessly without having to click this magical button… go figure!  Oh and I almost forgot… this great “feature” is only available for VB.NET…  A project in C# using Settings.settings will work perfectly EVEN when editing values… Here’s a screenshot that shows this important button: Button Using other data types appears to work perfectly well…   Maybe it’s simply related to the StringCollection data type?  If you are a VB.NET programmer, you should pay attention to this when you plan on using the settings functionalities and your scope is “user” and your data type is StringCollection… Happy coding all!

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  • LLBLGen Pro v3.5 has been released!

    - by FransBouma
    Last weekend we released LLBLGen Pro v3.5! Below the list of what's new in this release. Of course, not everything is on this list, like the large amount of work we put in refactoring the runtime framework. The refactoring was necessary because our framework has two paradigms which are added to the framework at a different time, and from a design perspective in the wrong order (the paradigm we added first, SelfServicing, should have been built on top of Adapter, the other paradigm, which was added more than a year after the first released version). The refactoring made sure the framework re-uses more code across the two paradigms (they already shared a lot of code) and is better prepared for the future. We're not done yet, but refactoring a massive framework like ours without breaking interfaces and existing applications is ... a bit of a challenge ;) To celebrate the release of v3.5, we give every customer a 30% discount! Use the coupon code NR1ORM with your order :) The full list of what's new: Designer Rule based .NET Attribute definitions. It's now possible to specify a rule using fine-grained expressions with an attribute definition to define which elements of a given type will receive the attribute definition. Rules can be assigned to attribute definitions on the project level, to make it even easier to define attribute definitions in bulk for many elements in the project. More information... Revamped Project Settings dialog. Multiple project related properties and settings dialogs have been merged into a single dialog called Project Settings, which makes it easier to configure the various settings related to project elements. It also makes it easier to find features previously not used  by many (e.g. type conversions) More information... Home tab with Quick Start Guides. To make new users feel right at home, we added a home tab with quick start guides which guide you through four main use cases of the designer. System Type Converters. Many common conversions have been implemented by default in system type converters so users don't have to develop their own type converters anymore for these type conversions. Bulk Element Setting Manipulator. To change setting values for multiple project elements, it was a little cumbersome to do that without a lot of clicking and opening various editors. This dialog makes changing settings for multiple elements very easy. EDMX Importer. It's now possible to import entity model data information from an existing Entity Framework EDMX file. Other changes and fixes See for the full list of changes and fixes the online documentation. LLBLGen Pro Runtime Framework WCF Data Services (OData) support has been added. It's now possible to use your LLBLGen Pro runtime framework powered domain layer in a WCF Data Services application using the VS.NET tools for WCF Data Services. WCF Data Services is a Microsoft technology for .NET 4 to expose your domain model using OData. More information... New query specification and execution API: QuerySpec. QuerySpec is our new query specification and execution API as an alternative to Linq and our more low-level API. It's build, like our Linq provider, on top of our lower-level API. More information... SQL Server 2012 support. The SQL Server DQE allows paging using the new SQL Server 2012 style. More information... System Type converters. For a common set of types the LLBLGen Pro runtime framework contains built-in type conversions so you don't need to write your own type converters anymore. Public/NonPublic property support. It's now possible to mark a field / navigator as non-public which is reflected in the runtime framework as an internal/friend property instead of a public property. This way you can hide properties from the public interface of a generated class and still access it through code added to the generated code base. FULL JOIN support. It's now possible to perform FULL JOIN joins using the native query api and QuerySpec. It's left to the developer to check whether the used target database supports FULL (OUTER) JOINs. Using a FULL JOIN with entity fetches is not recommended, and should only be used when both participants in the join aren't the target of the fetch. Dependency Injection Tracing. It's now possible to enable tracing on dependency injection. Enable tracing at level '4' on the traceswitch 'ORMGeneral'. This will emit trace information about which instance of which type got an instance of type T injected into property P. Entity Instances in projections in Linq. It's now possible to return an entity instance in a custom Linq projection. It's now also possible to pass this instance to a method inside the query projection. Inheritance fully supported in this construct. Entity Framework support The Entity Framework has been updated in the recent year with code-first support and a new simpler context api: DbContext (with DbSet). The amount of code to generate is smaller and the context simpler. LLBLGen Pro v3.5 comes with support for DbContext and DbSet and generates code which utilizes these new classes. NHibernate support NHibernate v3.2+ built-in proxy factory factory support. By default the built-in ProxyFactoryFactory is selected. FluentNHibernate Session Manager uses 1.2 syntax. Fluent NHibernate mappings generate a SessionManager which uses the v1.2 syntax for the ProxyFactoryFactory location Optionally emit schema / catalog name in mappings Two settings have been added which allow the user to control whether the catalog name and/or schema name as known in the project in the designer is emitted into the mappings.

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  • ODI 12c's Mapping Designer - Combining Flow Based and Expression Based Mapping

    - by Madhu Nair
    post by David Allan ODI is renowned for its declarative designer and minimal expression based paradigm. The new ODI 12c release has extended this even further to provide an extended declarative mapping designer. The ODI 12c mapper is a fusion of ODI's new declarative designer with the familiar flow based designer while retaining ODI’s key differentiators of: Minimal expression based definition, The ability to incrementally design an interface and to extract/load data from any combination of sources, and most importantly Backed by ODI’s extensible knowledge module framework. The declarative nature of the product has been extended to include an extensible library of common components that can be used to easily build simple to complex data integration solutions. Big usability improvements through consistent interactions of components and concepts all constructed around the familiar knowledge module framework provide the utmost flexibility. Here is a little taster: So what is a mapping? A mapping comprises of a logical design and at least one physical design, it may have many. A mapping can have many targets, of any technology and can be arbitrarily complex. You can build reusable mappings and use them in other mappings or other reusable mappings. In the example below all of the information from an Oracle bonus table and a bonus file are joined with an Oracle employees table before being written to a target. Some things that are cool include the one-click expression cross referencing so you can easily see what's used where within the design. The logical design in a mapping describes what you want to accomplish  (see the animated GIF here illustrating how the above mapping was designed) . The physical design lets you configure how it is to be accomplished. So you could have one logical design that is realized as an initial load in one physical design and as an incremental load in another. In the physical design below we can customize how the mapping is accomplished by picking Knowledge Modules, in ODI 12c you can pick multiple nodes (on logical or physical) and see common properties. This is useful as we can quickly compare property values across objects - below we can see knowledge modules settings on the access points between execution units side by side, in the example one table is retrieved via database links and the other is an external table. In the logical design I had selected an append mode for the integration type, so by default the IKM on the target will choose the most suitable/default IKM - which in this case is an in-built Oracle Insert IKM (see image below). This supports insert and select hints for the Oracle database (the ANSI SQL Insert IKM does not support these), so by default you will get direct path inserts with Oracle on this statement. In ODI 12c, the mapper is just that, a mapper. Design your mapping, write to multiple targets, the targets can be in the same data server, in different data servers or in totally different technologies - it does not matter. ODI 12c will derive and generate a plan that you can use or customize with knowledge modules. Some of the use cases which are greatly simplified include multiple heterogeneous targets, multi target inserts for Oracle and writing of XML. Let's switch it up now and look at a slightly different example to illustrate expression reuse. In ODI you can define reusable expressions using user functions. These can be reused across mappings and the implementations specialized per technology. So you can have common expressions across Oracle, SQL Server, Hive etc. shielding the design from the physical aspects of the generated language. Another way to reuse is within a mapping itself. In ODI 12c expressions can be defined and reused within a mapping. Rather than replicating the expression text in larger expressions you can decompose into smaller snippets, below you can see UNIT_TAX AMOUNT has been defined and is used in two downstream target columns - its used in the TOTAL_TAX_AMOUNT plus its used in the UNIT_TAX_AMOUNT (a recording of the calculation).  You can see the columns that the expressions depend on (upstream) and the columns the expression is used in (downstream) highlighted within the mapper. Also multi selecting attributes is a convenient way to see what's being used where, below I have selected the TOTAL_TAX_AMOUNT in the target datastore and the UNIT_TAX_AMOUNT in UNIT_CALC. You can now see many expressions at once now and understand much more at the once time without needlessly clicking around and memorizing information. Our mantra during development was to keep it simple and make the tool more powerful and do even more for the user. The development team was a fusion of many teams from Oracle Warehouse Builder, Sunopsis and BEA Aqualogic, debating and perfecting the mapper in ODI 12c. This was quite a project from supporting the capabilities of ODI in 11g to building the flow based mapping tool to support the future. I hope this was a useful insight, there is so much more to come on this topic, this is just a preview of much more that you will see of the mapper in ODI 12c.

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  • Review of Samsung Focus Windows Phone 7

    - by mbcrump
    I recently acquired a Samsung Focus Windows Phone 7 device from AT&T and wanted to share what I thought of it as an end-user. Before I get started, here are several of my write-ups for the Windows Phone 7. You may want to check out the second article titled: Hands-on WP7 Review of Prototype Hardware. From start to finish with the final version of Visual Studio Tools for Windows Phone 7 Hands-on : Windows Phone 7 Review on Prototype Hardware. Deploying your Windows Phone 7 Application to the actual hardware. Profile your Windows Phone 7 Application for Free Submitting a Windows Phone 7 Application to the Market. Samsung Focus i917 Phone Size: Perfect! I have been carrying around a Dell Streak (Android) and it is about half the size. It is really nice to have a phone that fits in your pocket without a lot of extra bulk. I bought a case for the Focus and it is still a perfect size.  The phone just feels right. Screen: It has a beautiful Super AMOLED 480x800 screen. I only wish it supported a higher resolution. The colors are beautiful especially in an Xbox Live Game.   3G: I use AT&T and I've had spotty reception. This really can't be blamed on the phone as much as the actual carrier. Battery: I've had excellent battery life compared to my iPhone and Android devices. I usually use my phone throughout the day on and off and still have a charge at the end of the day.  Camera/Video: I'm still looking for the option to send the video to YouTube or the Image to Twitter. The images look good, but the phone needs a forward facing camera. I like the iPhone/Android (Dell Streak) camera better. Built-in Speaker: Sounds great. It’s not a wimpy speaker that you cannot hear.  CPU: Very smooth transitioning from one screen to another. The prototype Windows Phone 7 that I had, was no where near as smooth. (It was also running a slower processor though). OS: I actually like the OS but a few things could be better. CONS: Copy and Paste (Supposed to come in the next update) We need more apps (Pandora missing was a big one for me and Slacker’s advertisement sucks!). As time passes, and more developers get on board then this will be fixed. The browser needs some major work. I have tried to make cross-platform (WP7, Android, iPhone and iPad) web apps and the browser that ships with WP7 just can’t handle it.  Apps need to be organized better. Instead of throw them all on one screen, it would help to allow the user to create categories. PROS: Hands down the best gaming experience on a phone. I have all three major phones (iphone, android and wp7). Nothing compares to the gaming experience on the WP7. The phone just works. I’ve had a LOT of glitches with my Android device. I’ve had maybe 2 with my WP7 device. Exchange and Office support are great. Nice integration with Twitter/Facebook and social media. Easy to navigate and find the information you need on one screen. Let’s look at a few pictures and we will wrap up with my final thoughts on the phone. WP7 Home Screen. Back of the phone is as stylish. It is hard to see due to the shadow but it is a very thin phone. What’s included? Manuals Ear buds Data Cable plus Power Adapter Phone Click a picture to enlarge So, what are my final thoughts on the Phone/OS? I love the Samsung Focus and would recommend it to anyone looking for a WP7 device. Like any first generation product, you need to give it a little while to mature. Right now the phone is missing several features that we are all used to using. That doesn’t mean a year from now it will be in the same situation. (I sure hope we won’t). If you are looking to get into mobile development, I believe WP7 is the easiest platform to develop from. This is especially true if you have a background in Silverlight or WPF.    Subscribe to my feed

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  • On Life and TechEd&hellip;

    - by MOSSLover
    I haven’t been writing here I know.  I am very sorry, but I am just too busy trying to make my personal life just as good as my SharePoint life.  So I was at TechEd again helping with the hands on labs, but I had a very long couple of weeks.  I will have a long week again.  I started out going to my friend, Randy Walker’s, wedding and I ended up at my grandmother’s condo in Fort Lauderdale.  It was a very trying week.  I had to drive 5 1/2 hours to the wedding from St. Louis and back.  So Randy is an awesome person.  He is a great guy and he was the first person ever to nominate me for MVP.  I knew it probably wasn’t going anywhere, but it was the thought that count.  I met Randy in 2008 at Tulsa Techfest.  We had fun jamming out to Rockband.  I knew he was good people back then.  He has let me vent and I have let him vent over countless personal problems.  He has always been a great friend.  So it was a no brainer when I decided to go to his wedding no matter how much driving or stress or lack of sleep it was worth it.  I am incredibly happy for him to finally find a diamond amongst a lot of coal.  To take part in his celebration was so awesome.  I thank him again for letting me participate in this ceremony. Now after Randy’s wedding I drove 5 1/2 hours landed in St. Louis, fed a cat an asthma pill hidden in wet cat food, and slept for 4 hours.  I immediately saw my best friend who dropped me off at the airport and proceeded to TechEd.  I slept 1 hour on each flight, then ended up working a 3 hour shift at TechEd.  The rest of the week was a haze of connecting with people and sleeping very little.  I got to see my friend Tasha and her husband Casey plus a billion other people.  It was a great week and then I got a call from my grandmother.  It turns out her husband was admitted to the hospital. My grandparents on my dad's side have been divorced since the 60s, which means I never got to see them together.  I always felt like they never cliqued.  When I was a kid we would always spend half our time in Chicago at grandma’s and half our time at grandpa’s houses.  We would hang out with my grandpa’s wife Bobbi and my grandma’s husband Leo.  My cousin’s always called Leo by Pappa and my brother and I would use Leo.  My cousins lived in Chicago up until my cousin Gavi was born then they moved to Philadelphia.  I remember complaining to my dad that we never visited anywhere cool just Chicago and Kansas City.  I also remember Leo teaching me and my brother, Sam, how to climb a tree and play tennis on the back of the apartment wall.  My grandfather’s was kind of stuffy and boring, but we always enjoyed my grandmother’s.  She had games and Disney Movies and toys.  Leo always made it a ton of fun to visit.  I’m not sure a lot of people knew this fact, but when I was 16 years old I saw my grandfather on my mother’s side slowly die of congestive heart failure in a nursing home.  When I was 18 I saw my grandmother on my mother’s side slowly die of an infection over a 30 day period.  I hate hospitals and I hate nursing homes, but sometimes you have to suck in your gut and be strong.  I tried to do that this weekend and I hope I did an ok job.  I really hope things get better, but if they don’t I really appreciate everything he has given me in life.  I am a terrible tennis player and I haven’t climbed a tree in ages, but they both encouraged me when encouragement from my parents was lacking.  It was Father’s Day today and I have to at least pay tribute to Leo Morris, because he has been a good person to me all my life.  Technorati Tags: TechEd,Grandparents,Father's Day

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  • BizTalk host throttling &ndash; Singleton pattern and High database size

    - by S.E.R.
    Originally posted on: http://geekswithblogs.net/SERivas/archive/2013/06/30/biztalk-host-throttling-ndash-singleton-pattern-and-high-database-size.aspxI have worked for some days around the singleton pattern (for those unfamiliar with it, read this post by Victor Fehlberg) and have come across a few very interesting posts, among which one dealt with performance issues (here, also by Victor Fehlberg). Simply put: if you have an orchestration which implements the singleton pattern, then performances will continuously decrease as the orchestration receives and consumes messages, and that behavior is more obvious when the orchestration never ends (ie : it keeps looping and never terminates or completes). As I experienced the same kind of problem (actually I was alerted by SCOM, which told me that the host was being throttled because of High database size), I thought it would be a good idea to dig a little bit a see what happens deep inside BizTalk and thus understand the reasons for this behavior. NOTE: in this article, I will focus on this High database size throttling condition. I will try and work on the other conditions in some not too distant future… Test conditions The singleton orchestration For the purpose of this study, I have created the following orchestration, which is a very basic implementation of a singleton that piles up incoming messages, then does something else when a certain timeout has been reached without receiving another message: Throttling settings I have two distinct hosts : one that hosts the receive port (basic FILE port) : Ports_ReceiveHostone that hosts the orchestration : ProcessingHost In order to emphasize the throttling mechanism, I have modified the throttling settings for each of these hosts are as follows (all other parameters are set to the default value): [Throttling thresholds] Message count in database: 500 (default value : 50000) Evolution of performance counters when submitting messages Since we are investigating the High database size throttling condition, here are the performance counter that we should take a look at (all of them are in the BizTalk:Message Agent performance object): Database sizeHigh database sizeMessage delivery throttling stateMessage publishing throttling stateMessage delivery delay (ms)Message publishing delay (ms)Message delivery throttling state durationMessage publishing throttling state duration (If you are not used to Perfmon, I strongly recommend that you start using it right now: it is a wonderful tool that allows you to open the hood and see what is going on inside BizTalk – and other systems) Database size It is quite obvious that we will start by watching the database size and high database size counters, just to see when the first reaches the configured threshold (500) and when the second rings the alarm. NOTE : During this test I submitted 600 messages, one message at a time every 10ms to see the evolution of the counters we have previously selected. It might not show very well on this screenshot, but here is what happened: From 15:46:50 to 15:47:50, the database size for the Ports_ReceiveHost host (blue line) kept growing until it reached a maximum of 504.At 15:47:50, the high database size alert fires At first I was surprised by this result: why is it the database size of the receiving host that keeps growing since it is the processing host that piles up messages? Actually, it makes total sense. This counter measures the size of the database queue that is being filled by the host, not consumed. Therefore, the high database size alert is raised on the host that fills the queue: Ports_ReceiveHost. More information is available on the Public MPWiki page. Now, looking at the Message publishing throttling state for the receiving host (green line), we can see that a throttling condition has been reached at 15:47:50: We can also see that the Message publishing delay(ms) (blue line) has begun growing slowly from this point. All of this explains why performances keep decreasing when a singleton keeps processing new messages: the database size grows and when it has exceeded the Message count in database threshold, the host is throttled and the publishing delay keeps increasing. Digging further So, what happens to the database queue then? Is it flushed some day or does it keep growing and growing indefinitely? The real question being: will the host be throttled forever because of this singleton? To answer this question, I set the Message count in database threshold to 20 (this value is very low in order not to wait for too long, otherwise I certainly would have fallen asleep in front of my screen) and I submitted 30 messages. The test was started at 18:26. At 18:56 (ie : exactly 30min later) the throttling was stopped and the database size was divided by 2. 30 min later again, the database size had dropped to almost zero: I guess I’ll have to find some documentation and do some more testing before I sort this out! My guess is that some maintenance job is at work here, though I cannot tell which one Digging even further If we take a look at the Message delivery throttling state counter for the processing host, we can see that this host was also throttled during the submission of the 600 documents: The value for the counter was 1, meaning that Message delivery incoming rate for the host instance exceeds the Message delivery outgoing rate * the specified Rate overdrive factor (percent) value. We will see this another day… :) A last word Let’s end this article with a warning: DO NOT CHANGE THE THROTTLING SETTINGS LIGHTLY! The temptation can be great to just bypass throttling by setting very high values for each parameter (or zero in some cases, which simply disables throttling). Nevertheless, always keep in mind that this mechanism is here for a very good reason: prevent your BizTalk infrastructure from exploding!! So whatever you do with those settings, do a lot of testing and benchmarking!

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  • CQRS &ndash; Questions and Concerns

    - by Dylan Smith
    I’ve been doing a lot of learning on CQRS and Event Sourcing over the last little while and I have a number of questions that I haven’t been able to answer. 1. What is the benefit of CQRS when compared to a typical DDD architecture that uses Event Sourcing and properly captures intent and behavior via verb-based commands? (other than Scalability) 2. When using CQRS what do you do with complex query-based logic? I’m going to elaborate on #1 in this blog post and I’ll do a follow-up post on #2. I watched through Greg Young’s video on the business benefits of CQRS + Event Sourcing and first let me say that I thought it was an excellent presentation that really drives home a lot of the benefits to this approach to architecture (I watched it twice in a row I enjoyed it so much!). But it didn’t answer some of my questions fully (I wish I had been there to ask these of Greg in person!). So let me pick apart some of the points he makes and how they relate to my first question above. I’m completely sold on the idea of event sourcing and have a clear understanding of the benefits that it brings to the table, so I’m not going to question that. But you can use event sourcing without going to a CQRS architecture, so my main question is around the benefits of CQRS + Event Sourcing vs Event Sourcing + Typical DDD architecture Architecture with Event Sourcing + Commands on Left, CQRS on Right Greg talks about how the stereotypical architecture doesn’t support DDD, but is that only because his diagram shows DTO’s coming up from the client. If we use the same diagram but allow the client to send commands doesn’t that remove a lot of the arguments that Greg makes against the stereotypical architecture? We can now introduce verbs into the system. We can capture intent now (storing it still requires event sourcing, but you can implement event sourcing without doing CQRS) We can create a rich domain model (as opposed to an anemic domain model) Scalability is obviously a benefit that CQRS brings to the table, but like Greg says, very few of the systems we create truly need significant scalability Greg talks about the ability to scale your development efforts. He says CQRS allows you to split the system into 3 parts (Client, Domain/Commands, Reads) and assign 3 teams of developers to work on them in parallel; letting you scale your development efforts by 3x with nearly linear gains. But in the stereotypical architecture don’t you already have 2 separate modules that you can split your dev efforts between: The client that sends commands/queries and receives DTO’s, and the Domain which accepts commands/queries, and generates events/DTO’s. If this is true it’s not really a 3x scaling you achieve with CQRS but merely a 1.5x scaling which while great doesn’t sound nearly as dramatic (“I can do it with 10 devs in 12 months – let me hire 5 more and we can have it done in 8 months”). Making the Query side “stupid simple” such that you can assign junior developers (or even outsource it) sounds like a valid benefit, but I have some concerns over what you do with complex query-based logic/behavior. I’m going to go into more detail on this in a follow-up blog post shortly. He also seemed to focus on how “stupid-simple” it is doing queries against the de-normalized data store, but I imagine there is still significant complexity in the event handlers that interpret the events and apply them to the de-normalized tables. It sounds like Greg suggests that because we’re doing CQRS that allows us to apply Event Sourcing when we otherwise wouldn’t be able to (~33:30 in the video). I don’t believe this is true. I don’t see why you wouldn’t be able to apply Event Sourcing without separating out the Commands and Queries. The queries would just operate against the domain model instead of the database. But you’d still get the benefits of Event Sourcing. Without CQRS the queries would only be able to operate against the current state rather than the event history, but even in CQRS the domain behaviors can only operate against the current state and I don’t see that being a big limiting factor. If some query needs to operate against something that is not captured by the current state you would just have to update the domain model to capture that information (no different than if that statement were made about a Command under CQRS). Some of the benefits I do see being applicable are that your domain model might end up being simpler/smaller since it only needs to represent the state needed to process commands and not worry about the reads (like the Deactivate Inventory Item and associated comment example that Greg provides). And also commands that can be handled in a Transaction Script style manner by the command handler simply generating events and not touching the domain model. It also makes it easier for your senior developers to focus on the command behavior and ignore the queries, which is usually going to be a better use of their time. And of course scalability. If anybody out there has any thoughts on this and can help educate me further, please either leave a comment or feel free to get in touch with me via email:

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  • Performance considerations for common SQL queries

    - by Jim Giercyk
    Originally posted on: http://geekswithblogs.net/NibblesAndBits/archive/2013/10/16/performance-considerations-for-common-sql-queries.aspxSQL offers many different methods to produce the same results.  There is a never-ending debate between SQL developers as to the “best way” or the “most efficient way” to render a result set.  Sometimes these disputes even come to blows….well, I am a lover, not a fighter, so I decided to collect some data that will prove which way is the best and most efficient.  For the queries below, I downloaded the test database from SQLSkills:  http://www.sqlskills.com/sql-server-resources/sql-server-demos/.  There isn’t a lot of data, but enough to prove my point: dbo.member has 10,000 records, and dbo.payment has 15,554.  Our result set contains 6,706 records. The following queries produce an identical result set; the result set contains aggregate payment information for each member who has made more than 1 payment from the dbo.payment table and the first and last name of the member from the dbo.member table.   /*************/ /* Sub Query  */ /*************/ SELECT  a.[Member Number] ,         m.lastname ,         m.firstname ,         a.[Number Of Payments] ,         a.[Average Payment] ,         a.[Total Paid] FROM    ( SELECT    member_no 'Member Number' ,                     AVG(payment_amt) 'Average Payment' ,                     SUM(payment_amt) 'Total Paid' ,                     COUNT(Payment_No) 'Number Of Payments'           FROM      dbo.payment           GROUP BY  member_no           HAVING    COUNT(Payment_No) > 1         ) a         JOIN dbo.member m ON a.[Member Number] = m.member_no         /***************/ /* Cross Apply  */ /***************/ SELECT  ca.[Member Number] ,         m.lastname ,         m.firstname ,         ca.[Number Of Payments] ,         ca.[Average Payment] ,         ca.[Total Paid] FROM    dbo.member m         CROSS APPLY ( SELECT    member_no 'Member Number' ,                                 AVG(payment_amt) 'Average Payment' ,                                 SUM(payment_amt) 'Total Paid' ,                                 COUNT(Payment_No) 'Number Of Payments'                       FROM      dbo.payment                       WHERE     member_no = m.member_no                       GROUP BY  member_no                       HAVING    COUNT(Payment_No) > 1                     ) ca /********/                    /* CTEs  */ /********/ ; WITH    Payments           AS ( SELECT   member_no 'Member Number' ,                         AVG(payment_amt) 'Average Payment' ,                         SUM(payment_amt) 'Total Paid' ,                         COUNT(Payment_No) 'Number Of Payments'                FROM     dbo.payment                GROUP BY member_no                HAVING   COUNT(Payment_No) > 1              ),         MemberInfo           AS ( SELECT   p.[Member Number] ,                         m.lastname ,                         m.firstname ,                         p.[Number Of Payments] ,                         p.[Average Payment] ,                         p.[Total Paid]                FROM     dbo.member m                         JOIN Payments p ON m.member_no = p.[Member Number]              )     SELECT  *     FROM    MemberInfo /************************/ /* SELECT with Grouping   */ /************************/ SELECT  p.member_no 'Member Number' ,         m.lastname ,         m.firstname ,         COUNT(Payment_No) 'Number Of Payments' ,         AVG(payment_amt) 'Average Payment' ,         SUM(payment_amt) 'Total Paid' FROM    dbo.payment p         JOIN dbo.member m ON m.member_no = p.member_no GROUP BY p.member_no ,         m.lastname ,         m.firstname HAVING  COUNT(Payment_No) > 1   We can see what is going on in SQL’s brain by looking at the execution plan.  The Execution Plan will demonstrate which steps and in what order SQL executes those steps, and what percentage of batch time each query takes.  SO….if I execute all 4 of these queries in a single batch, I will get an idea of the relative time SQL takes to execute them, and how it renders the Execution Plan.  We can settle this once and for all.  Here is what SQL did with these queries:   Not only did the queries take the same amount of time to execute, SQL generated the same Execution Plan for each of them.  Everybody is right…..I guess we can all finally go to lunch together!  But wait a second, I may not be a fighter, but I AM an instigator.     Let’s see how a table variable stacks up.  Here is the code I executed: /********************/ /*  Table Variable  */ /********************/ DECLARE @AggregateTable TABLE     (       member_no INT ,       AveragePayment MONEY ,       TotalPaid MONEY ,       NumberOfPayments MONEY     ) INSERT  @AggregateTable         SELECT  member_no 'Member Number' ,                 AVG(payment_amt) 'Average Payment' ,                 SUM(payment_amt) 'Total Paid' ,                 COUNT(Payment_No) 'Number Of Payments'         FROM    dbo.payment         GROUP BY member_no         HAVING  COUNT(Payment_No) > 1   SELECT  at.member_no 'Member Number' ,         m.lastname ,         m.firstname ,         at.NumberOfPayments 'Number Of Payments' ,         at.AveragePayment 'Average Payment' ,         at.TotalPaid 'Total Paid' FROM    @AggregateTable at         JOIN dbo.member m ON m.member_no = at.member_no In the interest of keeping things in groupings of 4, I removed the last query from the previous batch and added the table variable query.  Here’s what I got:     Since we first insert into the table variable, then we read from it, the Execution Plan renders 2 steps.  BUT, the combination of the 2 steps is only 22% of the batch.  It is actually faster than the other methods even though it is treated as 2 separate queries in the Execution Plan.  The argument I often hear against Table Variables is that SQL only estimates 1 row for the table size in the Execution Plan.  While this is true, the estimate does not come in to play until you read from the table variable.  In this case, the table variable had 6,706 rows, but it still outperformed the other queries.  People argue that table variables should only be used for hash or lookup tables.  The fact is, you have control of what you put IN to the variable, so as long as you keep it within reason, these results suggest that a table variable is a viable alternative to sub-queries. If anyone does volume testing on this theory, I would be interested in the results.  My suspicion is that there is a breaking point where efficiency goes down the tubes immediately, and it would be interesting to see where the threshold is. Coding SQL is a matter of style.  If you’ve been around since they introduced DB2, you were probably taught a little differently than a recent computer science graduate.  If you have a company standard, I strongly recommend you follow it.    If you do not have a standard, generally speaking, there is no right or wrong answer when talking about the efficiency of these types of queries, and certainly no hard-and-fast rule.  Volume and infrastructure will dictate a lot when it comes to performance, so your results may vary in your environment.  Download the database and try it!

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  • On Contract Employment

    - by kerry
    I am going to post about something I don’t post about a lot, the business side of development.  Scott at the antipimp does a good job of explaining how contracts work from a business perspective.  I am going to give a view from the ground. First, a little background on myself.  I have recently taken a 6 month contract after about 8 years of fulltime employment.  I have 2 kids, and a stay at home wife.  I took this contract opportunity because I wanted to try it on for size.  I have always wondered whether I would like doing contracts over fulltime employment.  So, in keeping with the theme of this blog I will write this down now so that I may reference it later. ALL jobs are temporary! Right now you may not realize it, most people simply ignore it, but EVERY job is temporary.  Everyone should be planning for life after the money stops coming in.  Sadly, most people do not.  Contracting pushes this issue to the forefront, making you deal with it.  After a month on a contract, I am happy to say that I am saving more than I ever saved in a fulltime position.  Hopefully, I will be ready in case of an extended window of unemployment between contracts. Networking I find it extremely gratifying getting to know people.  It is especially beneficial when moving to a new city.  What better way to go out and meet people in your field than to work a few contracts?  6 months of working beside someone and you get to know them pretty well.  This is one of my favorite aspects. Technical Agility Moving between IS shops takes (or molds you into) a flexible person.  You have to be able to go in and hit the ground running.  This means you need to be able to sit down and start work on a large codebase working in a language that you may or may not have that much experience in.  It is also an excellent way to learn new languages and broaden your technical skill set.  I took my current position to learn Ruby.  A month ago, I had only used it in passing, but now I am using it every day.  It’s a tragedy in this field when people start coding for the joy and love of coding, then become deeply entrenched in their companies methods and technologies that it becomes a just a job. Less Stress I am not talking about the kind of stress you get from a jackass boss.  I am talking about the kind of stress I (or others) experience about planning and future proofing your code.  Not saying I stay up at night worrying whether we have done it right, if that code I wrote today is going to bite me later, but it still creeps around in the dark recesses of my mind.  Careful though, I am not suggesting you write sloppy code; just defer any large architectural or design decisions to the ‘code owners’. Flexible Scheduling It makes me very happy to be able to cut out a few hours early on a Friday (provided the work is done) and start the weekend off early by going to the pool, or taking the kids to the park.  Contracting provides you this opportunity (mileage may vary).  Most of your fulltime brethren will not care, they will be jealous that they’re corporate policy prevents them from doing the same.  However, you must be mindful of situations where this is not appropriate, and don’t over do it.  You are there to work after all. Affirmation of Need Have you ever been stuck in a job where you thought you were underpaid?  Have you ever been in a position where you felt like there was not enough workload for you?  This is not a problem for contractors.  When you start a contract it is understood that you are needed, and the employer knows that you are happy with the terms. Contracting may not be for everyone.  But, if you develop a relationship with a good consulting firm, keep their clients happy, then they will keep you happy.  They want you to work almost as much as you do.  Just be sure and plan financially for any windows of unemployment.

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  • Debugging Tips for Skinning

    - by Christian David Straub
    Another guest post by Jeanne Waldman.If you are developing a skin for your Fusion Application in JDeveloper you should know these tips.   1. Firebug is your friend 2. Uncompress the css style classes 3. CHECK_FILE_MODIFICATION so that you see your skinning changes right away 4. View the generated CSS File   1. Firebug is your friend Install Firebug (http://getfirebug.com/layout) into Firefox and use it to view your rendered jspx page in the browser. You can select the HTML dom nodes on your page and you can see the css styles applied to each dom node.   2. Uncompress the css style classes By default the styleclasses that are rendered are compressed. You may see style classes like class="x10" and class="x2e". But in your skin css file you have styleclasses like: af|inputText::content or af|panelBox::header   It is easier for you to develop a skin and debug a skin with Firebug if you see the uncompressed styleclasses. To do this, a. open web.xml b. add   <context-param>     <param-name>org.apache.myfaces.trinidad.DISABLE_CONTENT_COMPRESSION</param-name>     <param-value>true</param-value>   </context-param> c. save d. restart the server and re-run your page.   3. CHECK_FILE_MODIFICATION so that you see your skinning changes right away   For performance sake the ADF Faces framework does not check if you skin .css file has changed on every render. But this is exactly what you want to happen when you are developing or debugging a skin. You want your changes to get noticed right away, without restarting the server.   To do this, a. open web.xml b. add   <context-param>     <description>If this parameter is true, there will be an automatic check of the modification date of your JSPs, and saved state will be discarded when JSP's change. It will also automatically check if your skinning css files have changed without you having to restart the server. This makes development easier, but adds overhead. For this reason this parameter should be set to false when your application is deployed.</description>     <param-name>org.apache.myfaces.trinidad.CHECK_FILE_MODIFICATION</param-name>     <param-value>false</param-value>   </context-param> c. save d. restart the server and re-run your page. e. from then on, you can change your skin's .css file, save it and refresh your page and you should see the changes right away   4. View the generated CSS File   There are different ways to view the generated CSS File which is your skin's css file merged in with all the skins it extends and processed and generated to the filesystem and linked to your generated html page. One way is to view it with Firebug. The problem with this approach is you might see something that is a little different than the actual css file because Firebug may do some extra processing. I like to view the generated css file by: Right click on your page in the browser 

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  • How to Get All the Windows 8 Editions on One Install Disk

    - by Taylor Gibb
    There are a lot of different versions of Windows, but you probably didn’t know that short of the Enterprise edition, the disc or image that you own contains all versions for that architecture. Read on to see how we can use them to make a universal Windows 8 install disc. Things You Will Need A x86 Version of Windows 8 A x64 Version of Windows 8 A x86 Version of Windows 8 Enterprise A x64 Version of Windows 8 Enterprise A Windows 8 PC Note: While we will use all the images above you don’t really need the Enterprise Edition. You could always leave out parts of the tutorial if you know what you are doing, if you are not comfortable with that and still want to follow through you could always grab the Enterprise evaluation images that are available for free to the public, on MSDN. Getting Started To get started you will need to Download the Windows 8 ADK from Microsoft. Once downloaded go ahead and install it, you will only need the Deployment tools so be sure to uncheck the rest of the options. Lastly you will also need to create the following folder structure on the root of your C:\ drive to make things a bit easier. C:\Windows8Root C:\Windows8Root\x86 C:\Windows8Root\x64 C:\Windows8Root\Enterprisex86 C:\Windows8Root\Enterprisex64 C:\Windows8Root\Temp C:\Windows8Root\Final OK lets get started. Making The Image The first thing we need to do is create a base image, so mount the x86 version of Windows 8 and copy its files to: C:\Windows8Root\Final Now move the install.wim file from: C:\Windows8Root\Final\sources To: C:\Windows8Root\x86 Next go ahead and copy the install.wim file from the other 3 images, Windows 8 x64, Windows 8 Enterprise x86 and Windows 8 Enterprise x64 to the respective folders in Windows8Root, the install.wim file can be located at: D:\sources\install.wim Note: The above assumes that the images are always mounted at drive D. Remember that each install.wim is different so don’t copy them to the wrong directories or the rest of the tutorial wont work. Next switch to the Metro Start Screen and open the Deployment and Imaging Tools Environment. Note: If you are not a local administrator on your PC, you will need to right-click on it and choose to run it as an administrator. Now run the following commands: Dism /Export-Image /SourceImageFile:c:\Windows8Root\x86\install.wim /SourceIndex:2 /DestinationImageFile:c:\Windows8Root\Final\sources\install.wim /DestinationName:”Windows 8″ /compress:maximum Dism /Export-Image /SourceImageFile:c:\Windows8Root\x86\install.wim /SourceIndex:1 /DestinationImageFile:c:\Windows8Root\Final\sources\install.wim /DestinationName:”Windows 8 Pro” /compress:maximum Dism /Export-Image /SourceImageFile:c:\Windows8Root\x86\install.wim /SourceIndex:1 /DestinationImageFile:c:\Windows8Root\Final\sources\install.wim /DestinationName:”Windows 8 Pro with Media Center” /compress:maximum Dism /Export-Image /SourceImageFile:c:\Windows8Root\Enterprisex86\install.wim /SourceIndex:1 /DestinationImageFile:c:\Windows8Root\Final\sources\install.wim /DestinationName:”Windows 8 Enterprise” /compress:maximum Dism /Export-Image /SourceImageFile:c:\Windows8Root\x64\install.wim /SourceIndex:2 /DestinationImageFile:c:\Windows8Root\Final\sources\install.wim /DestinationName:”Windows 8″ /compress:maximum Dism /Export-Image /SourceImageFile:c:\Windows8Root\x64\install.wim /SourceIndex:1 /DestinationImageFile:c:\Windows8Root\Final\sources\install.wim /DestinationName:”Windows 8 Pro” /compress:maximum Dism /Export-Image /SourceImageFile:c:\Windows8Root\x64\install.wim /SourceIndex:1 /DestinationImageFile:c:\Windows8Root\Final\sources\install.wim /DestinationName:”Windows 8 Pro with Media Center” /compress:maximum Dism /Export-Image /SourceImageFile:c:\Windows8Root\Enterprisex64\install.wim /SourceIndex:1 /DestinationImageFile:c:\Windows8Root\Final\sources\install.wim /DestinationName:”Windows 8 Enterprise” /compress:maximum Next navigate to: C:\Windows8Root\sources\ And create a new text file. You will need to call it: EI.cfg Then edit it to look like the following: The last thing we need to do is work some magic to get Windows Media Center added to the WMC editions of Windows 8. For that I have written a little script to make it easier for everybody, you can grab it here. Once you have downloaded it extract it. In order to use it right-click in the bottom left hand corner of the screen, and open an elevated command prompt. Then go ahead and paste the following into the command prompt window. powershell.exe -ExecutionPolicy Unrestricted -File C:\Users\Taylor\Documents\HTGWindows8Converter.ps1 Note: You will need to replace the path to the script, another thing to note is that if the path you replace it with has spaces you will need to enclose the path in quotes. The script should kick off straight away and has some progress bars you can watch while it does its thing. Half way through another Window will pop open, which will start creating your final ISO image. When its complete, close the command prompt and you should have an ISO image on the root of your C drive called: HTGWindows8.iso That’s all there is to it. 7 Ways To Free Up Hard Disk Space On Windows HTG Explains: How System Restore Works in Windows HTG Explains: How Antivirus Software Works

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  • SQLAuthority News – Training and Consultancy and Travel – Story of 30 Last 30 Days

    - by pinaldave
    Today’s blog post is not technical as usual. Here, I present a real story, and I also invite you all to share your thoughts or opinions on this post. I am a professional SQL Server Trainer; I also do consultation in the area of the Performance Tuning and Query Optimizations. In any month, I like the mix of both in my schedule. I prefer to do training for one week, and then commit the next week for some consultation work. Due to the advancement in technology, for most of the consultation works, there is no client location visit or first time visit for understanding the project. Usually, I conduct high-end training sessions or 400 level training, and these training sessions are very intensive most of the time. Always after completing the training for 5 days straight away at 400 level, I make sure to take out some time to cool down and relax. During this time, I prefer to work on optimization projects. Consultancy is great as it keeps me updated regarding what is going on in the real world. As we all know, all those trainers who have real world experience are always considered to be the best trainers. My learning is immense during my consultations with the real client and while resolving real problems. I share the same with my students the very next week when I go for training sessions. For the same reason, every class is different from the previous ones. An experience trainer would tell you that the class is best if it is driven by Students the way instructor wants! The best scenario is as described above; but you won’t get the best scenario all the time. I was on road for nearly 25 days out of the last 30 days and involved in doing various SQL Server-related trainings. Here is what I have done in the last 30 days. I have gathered the following details from my expenditure reports, which are maintained by my wife. There are few points related to my personal expenses and few other related to business. I maintain a separate list for each of these expenses, but here I have aggregated them. Last 30 days - Training 23 days - 4 – two days training classes – 8 days of training 3 – five days training classes – 15 days of training 1 – one day training classes – 2 days of training Flights 18 flights - 8 – Kingfisher 6 – Spicejet 2 – Jet light 2 – Jet connect Stay in different cities Hyderabad – 16 days Chennai – 6 days Bangalore – 2 days Ahmedabad – 6 days (Hometown) Meals – 54 (Averaging less than 2 per day) Room Services – 16 times Training Campuses – 20 times Restaurants – 6 times Home – 12 times Taxi/Cabs – 64 times (Averaging more than 2 per day) Hotel Cab – 34 times Meru Cab – 8 times Easy Cabs – 10 times Auto Rickshaw – 2 times Looking at the above statistics, I can see that I have eaten less than what I should have, which is not good, and traveled in taxi more than what I should have. Also the temperatures in different cities were very different, not to mention the humidity as well. I missed my family, especially my little girl (9 months). When I was at home, I used to have a proper healthy meal every single day; however, when I was traveling, the food was something I had to compromise on. I have previously written about my travel experience with different airlines, my opinion is still same about them. Well, I have question to all of you road warriors, how do you manage your health and enthusiasm during situations I am going through. I have couple of time stomach upset as well sour throat. I drink lots of water and do my best to keep up. Any idea? Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: About Me, Pinal Dave, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL, Technology

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  • How to configure a zone cluster on Solaris Cluster 4.0

    - by JuergenS
    This is a short overview on how to configure a zone cluster on Solaris Cluster 4.0. This is a little bit different as in Solaris Cluster 3.2/3.3 because Solaris Cluster 4.0 is only running on Solaris 11. The name of the zone cluster must be unique throughout the global Solaris Cluster and must be configured on a global Solaris Cluster. Please read all the requirements for zone cluster in Solaris Cluster Software Installation Guide for SC4.0. For Solaris Cluster 3.2/3.3 please refer to my previous blog Configuration steps to create a zone cluster in Solaris Cluster 3.2/3.3. A. Configure the zone cluster into the already running global clusterCheck if zone cluster can be created # cluster show-netprops to change number of zone clusters use # cluster set-netprops -p num_zoneclusters=12 Note: 12 zone clusters is the default, values can be customized! Create config file (zc1config) for zone cluster setup e.g: Configure zone cluster # clzc configure -f zc1config zc1 Note: If not using the config file the configuration can also be done manually # clzc configure zc1 Check zone configuration # clzc export zc1 Verify zone cluster # clzc verify zc1 Note: The following message is a notice and comes up on several clzc commands Waiting for zone verify commands to complete on all the nodes of the zone cluster "zc1"... Install the zone cluster # clzc install zc1 Note: Monitor the consoles of the global zone to see how the install proceed! (The output is different on the nodes) It's very important that all global cluster nodes have installed the same set of ha-cluster packages! Boot the zone cluster # clzc boot zc1 Login into non-global-zones of zone cluster zc1 on all nodes and finish Solaris installation. # zlogin -C zc1 Check status of zone cluster # clzc status zc1 Login into non-global-zones of zone cluster zc1 and configure the shell environment for root (for PATH: /usr/cluster/bin, for MANPATH: /usr/cluster/man) # zlogin -C zc1 If using additional name service configure /etc/nsswitch.conf of zone cluster non-global zones. hosts: cluster files netmasks: cluster files Configure /etc/inet/hosts of the zone cluster zones Enter all the logical hosts of non-global zones B. Add resource groups and resources to zone cluster Create a resource group in zone cluster # clrg create -n <zone-hostname-node1>,<zone-hostname-node2> app-rg Note1: Use command # cluster status for zone cluster resource group overview. Note2: You can also run all commands for zone cluster in global cluster by adding the option -Z to the command. e.g: # clrg create -Z zc1 -n <zone-hostname-node1>,<zone-hostname-node2> app-rg Set up the logical host resource for zone cluster In the global zone do: # clzc configure zc1 clzc:zc1 add net clzc:zc1:net set address=<zone-logicalhost-ip> clzc:zc1:net end clzc:zc1 commit clzc:zc1 exit Note: Check that logical host is in /etc/hosts file In zone cluster do: # clrslh create -g app-rg -h <zone-logicalhost> <zone-logicalhost>-rs Set up storage resource for zone cluster Register HAStoragePlus # clrt register SUNW.HAStoragePlus Example1) ZFS storage pool In the global zone do: Configure zpool eg: # zpool create <zdata> mirror cXtXdX cXtXdX and # clzc configure zc1 clzc:zc1 add dataset clzc:zc1:dataset set name=zdata clzc:zc1:dataset end clzc:zc1 verify clzc:zc1 commit clzc:zc1 exit Check setup with # clzc show -v zc1 In the zone cluster do: # clrs create -g app-rg -t SUNW.HAStoragePlus -p zpools=zdata app-hasp-rs Example2) HA filesystem In the global zone do: Configure SVM diskset and SVM devices. and # clzc configure zc1 clzc:zc1 add fs clzc:zc1:fs set dir=/data clzc:zc1:fs set special=/dev/md/datads/dsk/d0 clzc:zc1:fs set raw=/dev/md/datads/rdsk/d0 clzc:zc1:fs set type=ufs clzc:zc1:fs add options [logging] clzc:zc1:fs end clzc:zc1 verify clzc:zc1 commit clzc:zc1 exit Check setup with # clzc show -v zc1 In the zone cluster do: # clrs create -g app-rg -t SUNW.HAStoragePlus -p FilesystemMountPoints=/data app-hasp-rs Example3) Global filesystem as loopback file system In the global zone configure global filesystem and it to /etc/vfstab on all global nodes e.g.: /dev/md/datads/dsk/d0 /dev/md/datads/dsk/d0 /global/fs ufs 2 yes global,logging and # clzc configure zc1 clzc:zc1 add fs clzc:zc1:fs set dir=/zone/fs (zc-lofs-mountpoint) clzc:zc1:fs set special=/global/fs (globalcluster-mountpoint) clzc:zc1:fs set type=lofs clzc:zc1:fs end clzc:zc1 verify clzc:zc1 commit clzc:zc1 exit Check setup with # clzc show -v zc1 In the zone cluster do: (Create scalable rg if not already done) # clrg create -p desired_primaries=2 -p maximum_primaries=2 app-scal-rg # clrs create -g app-scal-rg -t SUNW.HAStoragePlus -p FilesystemMountPoints=/zone/fs hasp-rs More details of adding storage available in the Installation Guide for zone cluster Switch resource group and resources online in the zone cluster # clrg online -eM app-rg # clrg online -eM app-scal-rg Test: Switch of the resource group in the zone cluster # clrg switch -n zonehost2 app-rg # clrg switch -n zonehost2 app-scal-rg Add supported dataservice to zone cluster Documentation for SC4.0 is available here Example output: Appendix: To delete a zone cluster do: # clrg delete -Z zc1 -F + Note: Zone cluster uninstall can only be done if all resource groups are removed in the zone cluster. The command 'clrg delete -F +' can be used in zone cluster to delete the resource groups recursively. # clzc halt zc1 # clzc uninstall zc1 Note: If clzc command is not successful to uninstall the zone, then run 'zoneadm -z zc1 uninstall -F' on the nodes where zc1 is configured # clzc delete zc1

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  • Browsing Your ADF Application Module Pooling Params with WLST

    - by Duncan Mills
    In ADF 11g you can of course use Enterprise Manager (EM) to browse and configure the settings used by ADF Business Components  Application Modules, as shown here for one of my sample deployed applications. This screen you can access from the EM homepage by pulling down the Application Deployment menu, and then ADF > Configure ADF Business Components. Then select the profile that you are actually using (Hint: look in the DataBindings.cpx file to work this out - probably the "Local" version unless you've explicitly changed it. )So, from this screen you can change the pooling parameters and the world is good. But what if you don't have EM installed? In that case you can use the WebLogic scripting capabilities to view (and Update) the MBean Properties. Explanation The pooling parameters and many others are handled through Message Driven Beans that are created for the deployed application in the server. In the case of the ADF BC pooling parameters, this MBean will combine the configuration deployed as part of the application, along with any overrides defined as -D environement commands on the JVM startup for the application server instance. Using WLST to Browse the Bean ValuesFor our purposes here I'm doing this interactively, although you can also write a script or write Java to achieve the same thing.Step 0: Before You Start You will need the followingAccess to the console on the machine that is running the serverThe WebLogic Admin username and password (I'll use weblogic/password as my example here - yours will be different)The name of the deployed application (in this example FMWdh_application1)The package path to the bc4j.xcfg file (in this example oracle.demo.fmwdh.model.service.common.bc4j.xcfg) This is based on the default path for your model project so it shoudl be fairly easy to work out.The BC configuration your AM is actually running with (look in the DataBindings.cpx for that. In this example DealHelpServiceDeployed is the profile being used..)Step 1: Start the WLST consoleTo start at the beginning, you need to run the WLST command but that needs a little setup:Change to the wlserver_10.3/server/bin directory e.g. under your Fusion Middleware Home[oracle@mymachine] cd /home/oracle/FMW_R1/wlserver_10.3/server/binSet your environment using the setWLSEnv script. e.g. on Oracle Enterprise Linux:[oracle@mymachine bin] source setWLSEnv.shStart the WLST interactive console[oracle@mymachine bin] java weblogic.WLSTInitializing WebLogic Scripting Tool (WLST) ...Welcome to WebLogic Server Administration Scripting ShellType help() for help on available commandswls:/offline> Step 2:Enter the WLST commandsConnect to the server wls:> connect('weblogic','password')Change to the Custom root, this is where the AMPooling MBeans are registered wls:> custom()Change to the b4j MBean directorywls:> cd ('oracle.bc4j.mbean.config')Work out the correct directory for the AM configuration you need. This is the difficult bit, not because it's hard to do, but because the names are long. The structure here is such that every child MBean is displayed at the same level as the parent, so for each deployed application there will be many directories shown. In fact, do an ls() command here and you'll see what I mean. Each application will have one MBean for the app as a whole, and then for each deployed configuration in the .xcfg file you'll see: One for the config entry itself, and then one each for Security, DB Connection and AM Pooling. So if you deploy an app with just one configuration you'll see 5 directories, if it has two configurations in the .xcfg you'll see 9 and so on.The directory you are looking for will contain those bits of information you gathered in Step 0, specifically the Application Name, the configuration you are using and the xcfg name: First of all narrow your list to just those directories returned from the ls() command that begin oracle.bc4j.mbean.config:name=AMPool. These identify the AM pooling MBeans for all the deployed applications. Now look for the correct application name e.g. Application=FMWdh_application1The config setting in that sub-list should already be correct and match what you expect e.g. oracle.bc4j.mbean.config=oracle.demo.fmwdh.model.service.common.bc4j.xcfgFinally look for the correct value for the AppModuleConfigType e.g. oracle.bc4j.mbean.config.AppModuleConfigType=DealHelpServiceDeployedNow you have identified the correct directory name, change to that (keep the name on one line of course - I've had to split it across lines here for clarity:wls:> cd ('oracle.bc4j.mbean.config:name=AMPool,     type=oracle.bc4j.mbean.config.AppModuleConfigType.AMPoolType,    oracle.bc4j.mbean.config=oracle.demo.fmwdh.model.service.common.bc4j.xcfg,    Application=FMWdh_application1,    oracle.bc4j.mbean.config.AppModuleConfigType=DealHelpServiceDeployed') Now you can actually view the parameter values with a simple ls() commandwls:> ls()And here's the output in which you can view the realtime values of the various pool settings: -rw- AmpoolConnectionstrategyclass oracle.jbo.common.ampool.DefaultConnectionStrategy -rw- AmpoolDoampooling true -rw- AmpoolDynamicjdbccredentials false -rw- AmpoolInitpoolsize 2 -rw- AmpoolIsuseexclusive true -rw- AmpoolMaxavailablesize 40 -rw- AmpoolMaxinactiveage 600000 -rw- AmpoolMaxpoolsize 4096 -rw- AmpoolMinavailablesize 2 -rw- AmpoolMonitorsleepinterval 600000 -rw- AmpoolResetnontransactionalstate true -rw- AmpoolSessioncookiefactoryclass oracle.jbo.common.ampool.DefaultSessionCookieFactory -rw- AmpoolTimetolive 3600000 -rw- AmpoolWritecookietoclient false -r-- ConfigMBean true -rw- ConnectionPoolManager oracle.jbo.server.ConnectionPoolManagerImpl -rw- Doconnectionpooling false -rw- Dofailover false -rw- Initpoolsize 0 -rw- Maxpoolcookieage -1 -rw- Maxpoolsize 4096 -rw- Poolmaxavailablesize 25 -rw- Poolmaxinactiveage 600000 -rw- Poolminavailablesize 5 -rw- Poolmonitorsleepinterval 600000 -rw- Poolrequesttimeout 30000 -rw- Pooltimetolive -1 -r-- ReadOnly false -rw- Recyclethreshold 10 -r-- RestartNeeded false -r-- SystemMBean false -r-- eventProvider true -r-- eventTypes java.lang.String[jmx.attribute.change] -r-- objectName oracle.bc4j.mbean.config:name=AMPool,type=oracle.bc4j.mbean.config.AppModuleConfigType.AMPoolType,oracle.bc4j.mbean.config=oracle.demo.fmwdh.model.service.common.bc4j.xcfg,Application=FMWdh_application1,oracle.bc4j.mbean.config.AppModuleConfigType=DealHelpServiceDeployed -rw- poolClassName oracle.jbo.common.ampool.ApplicationPoolImpl Thanks to Brian Fry on the JDeveloper PM Team who did most of the work to put this sequence of steps together with me badgering him over his shoulder.

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