Search Results

Search found 38336 results on 1534 pages for 'sql wait types'.

Page 777/1534 | < Previous Page | 773 774 775 776 777 778 779 780 781 782 783 784  | Next Page >

  • Extending Database-as-a-Service to Provision Databases with Application Data

    - by Nilesh A
    Oracle Enterprise Manager 12c Database as a Service (DBaaS) empowers Self Service/SSA Users to rapidly spawn databases on demand in cloud. The configuration and structure of provisioned databases depends on respective service template selected by Self Service user while requesting for database. In EM12c, the DBaaS Self Service/SSA Administrator has the option of hosting various service templates in service catalog and based on underlying DBCA templates.Many times provisioned databases require production scale data either for UAT, testing or development purpose and managing DBCA templates with data can be unwieldy. So, we need to populate the database using post deployment script option and without any additional work for the SSA Users. The SSA Administrator can automate this task in few easy steps. For details on how to setup DBaaS Self Service Portal refer to the DBaaS CookbookIn this article, I will list steps required to enable EM 12c DBaaS to provision databases with application data in two distinct ways using: 1) Data pump 2) Transportable tablespaces (TTS). The steps listed below are just examples of how to extend EM 12c DBaaS and you can even have your own method plugged in part of post deployment script option. Using Data Pump to populate databases These are the steps to be followed to implement extending DBaaS using Data Pump methodolgy: Production DBA should run data pump export on the production database and make the dump file available to all the servers participating in the database zone [sample shown in Fig.1] -- Full exportexpdp FULL=y DUMPFILE=data_pump_dir:dpfull1%U.dmp, data_pump_dir:dpfull2%U.dmp PARALLEL=4 LOGFILE=data_pump_dir:dpexpfull.log JOB_NAME=dpexpfull Figure-1:  Full export of database using data pump Create a post deployment SQL script [sample shown in Fig. 2] and this script can either be uploaded into the software library by SSA Administrator or made available on a shared location accessible from servers where databases are likely to be provisioned Normal 0 -- Full importdeclare    h1   NUMBER;begin-- Creating the directory object where source database dump is backed up.    execute immediate 'create directory DEST_LOC as''/scratch/nagrawal/OracleHomes/oradata/INITCHNG/datafile''';-- Running import    h1 := dbms_datapump.open (operation => 'IMPORT', job_mode => 'FULL', job_name => 'DB_IMPORT10');    dbms_datapump.set_parallel(handle => h1, degree => 1);    dbms_datapump.add_file(handle => h1, filename => 'IMP_GRIDDB_FULL.LOG', directory => 'DATA_PUMP_DIR', filetype => 3);    dbms_datapump.add_file(handle => h1, filename => 'EXP_GRIDDB_FULL_%U.DMP', directory => 'DEST_LOC', filetype => 1);    dbms_datapump.start_job(handle => h1);    dbms_datapump.detach(handle => h1);end;/ Figure-2: Importing using data pump pl/sql procedures Using DBCA, create a template for the production database – include all the init.ora parameters, tablespaces, datafiles & their sizes SSA Administrator should customize “Create Database Deployment Procedure” and provide DBCA template created in the previous step. In “Additional Configuration Options” step of Customize “Create Database Deployment Procedure” flow, provide the name of the SQL script in the Custom Script section and lock the input (shown in Fig. 3). Continue saving the deployment procedure. Figure-3: Using Custom script option for calling Import SQL Now, an SSA user can login to Self Service Portal and use the flow to provision a database that will also  populate the data using the post deployment step. Using Transportable tablespaces to populate databases Copy of all user/application tablespaces will enable this method of populating databases. These are the required steps to extend DBaaS using transportable tablespaces: Production DBA needs to create a backup of tablespaces. Datafiles may need conversion [such as from Big Endian to Little Endian or vice versa] based on the platform of production and destination where DBaaS created the test database. Here is sample backup script shows how to find out if any conversion is required, describes the steps required to convert datafiles and backup tablespace. SSA Administrator should copy the database (tablespaces) backup datafiles and export dumps to the backup location accessible from the hosts participating in the database zone(s). Create a post deployment SQL script and this script can either be uploaded into the software library by SSA Administrator or made available on a shared location accessible from servers where databases are likely to be provisioned. Here is sample post deployment SQL script using transportable tablespaces. Using DBCA, create a template for the production database – all the init.ora parameters should be included. NOTE: DO NOT choose to bring tablespace data into this template as they will be created SSA Administrator should customize “Create Database Deployment Procedure” and provide DBCA template created in the previous step. In the “Additional Configuration Options” step of the flow, provide the name of the SQL script in the Custom Script section and lock the input. Continue saving the deployment procedure. Now, an SSA user can login to Self Service Portal and use the flow to provision a database that will also populate the data using the post deployment step. More Information: Database-as-a-Service on Exadata Cloud Podcast on Database as a Service using Oracle Enterprise Manager 12c Oracle Enterprise Manager 12c Installation and Administration guide, Cloud Administration guide DBaaS Cookbook Screenwatch: Private Database Cloud: Set Up the Cloud Self-Service Portal Screenwatch: Private Database Cloud: Use the Cloud Self-Service Portal Stay Connected: Twitter |  Face book |  You Tube |  Linked in |  Newsletter

    Read the article

  • Sharepoint Foundation 2010 development environment installation problems

    - by Robert Koritnik
    I'm having problems installing development machine for Sharepoint (Foundation) 2010. This is what I did so far on the same machine: Installed a clean Windows 7 x64 with 4GB of RAM without being part of any domain. Just a simple standalone machine. Enabled IIS related features as described here except IIS6 related ones (two of them) Installed SQL Server 2008 R2 Development Edition (DB Engine and Writer being enabled but not SQL Agent) Installed Visual Studio 2010 Premium Started installing Sharepoint Foundation 2010 with first extracting files, changing config to enable Windows 7 installation and then installed it as Server Farm (then Complete) to avoid installing SQL Express. Created a separate SPF_CONFIG local user with Logon on as a service right. Opened SPF Management Shell and run New-SPConfigurationDatabase so I am able to use a non-domain username (SPF_CONFIG that I created in the previous step) But all I get is this: The outcome after this error is: Database Sharepoint2010Config is created User SPF_CONFIG is added to SQL Server and attached to this newly created database as dbowner Checking SQL server security logins this user has following rights: dbcreator securityadmin public

    Read the article

  • Notepad++ Associate custom ext for use by ctags

    - by user185420
    Hi, I use .pkb and pkh extensions for PL/SQL files (rather than .sql). I have already associated .pkb and .pkh extension in the langs.xml (Styler Config) so that Notepad++ recognizes the syntax highlight to use when I open pkb and pkh files (the syntax highlighting would be the same as for sql ext). Now the problem is that I cannot use plugins that parse code using ctags (like SourceCookifier, OpenCtag,GtagSearch) because these plugins do not recognize the pkb and pkh extension. THe only way I could use them is to change my file to sql and when done change to the pkh or pkb ext. Is there any config that could make ctags based plugin work with non-sql ext? I tried changing various config for the plugins but did not succeed in making them work. Thanks.

    Read the article

  • Changes to the LINQ-to-StreamInsight Dialect

    - by Roman Schindlauer
    In previous versions of StreamInsight (1.0 through 2.0), CepStream<> represents temporal streams of many varieties: Streams with ‘open’ inputs (e.g., those defined and composed over CepStream<T>.Create(string streamName) Streams with ‘partially bound’ inputs (e.g., those defined and composed over CepStream<T>.Create(Type adapterFactory, …)) Streams with fully bound inputs (e.g., those defined and composed over To*Stream – sequences or DQC) The stream may be embedded (where Server.Create is used) The stream may be remote (where Server.Connect is used) When adding support for new programming primitives in StreamInsight 2.1, we faced a choice: Add a fourth variety (use CepStream<> to represent streams that are bound the new programming model constructs), or introduce a separate type that represents temporal streams in the new user model. We opted for the latter. Introducing a new type has the effect of reducing the number of (confusing) runtime failures due to inappropriate uses of CepStream<> instances in the incorrect context. The new types are: IStreamable<>, which logically represents a temporal stream. IQStreamable<> : IStreamable<>, which represents a queryable temporal stream. Its relationship to IStreamable<> is analogous to the relationship of IQueryable<> to IEnumerable<>. The developer can compose temporal queries over remote stream sources using this type. The syntax of temporal queries composed over IQStreamable<> is mostly consistent with the syntax of our existing CepStream<>-based LINQ provider. However, we have taken the opportunity to refine certain aspects of the language surface. Differences are outlined below. Because 2.1 introduces new types to represent temporal queries, the changes outlined in this post do no impact existing StreamInsight applications using the existing types! SelectMany StreamInsight does not support the SelectMany operator in its usual form (which is analogous to SQL’s “CROSS APPLY” operator): static IEnumerable<R> SelectMany<T, R>(this IEnumerable<T> source, Func<T, IEnumerable<R>> collectionSelector) It instead uses SelectMany as a convenient syntactic representation of an inner join. The parameter to the selector function is thus unavailable. Because the parameter isn’t supported, its type in StreamInsight 1.0 – 2.0 wasn’t carefully scrutinized. Unfortunately, the type chosen for the parameter is nonsensical to LINQ programmers: static CepStream<R> SelectMany<T, R>(this CepStream<T> source, Expression<Func<CepStream<T>, CepStream<R>>> streamSelector) Using Unit as the type for the parameter accurately reflects the StreamInsight’s capabilities: static IQStreamable<R> SelectMany<T, R>(this IQStreamable<T> source, Expression<Func<Unit, IQStreamable<R>>> streamSelector) For queries that succeed – that is, queries that do not reference the stream selector parameter – there is no difference between the code written for the two overloads: from x in xs from y in ys select f(x, y) Top-K The Take operator used in StreamInsight causes confusion for LINQ programmers because it is applied to the (unbounded) stream rather than the (bounded) window, suggesting that the query as a whole will return k rows: (from win in xs.SnapshotWindow() from x in win orderby x.A select x.B).Take(k) The use of SelectMany is also unfortunate in this context because it implies the availability of the window parameter within the remainder of the comprehension. The following compiles but fails at runtime: (from win in xs.SnapshotWindow() from x in win orderby x.A select win).Take(k) The Take operator in 2.1 is applied to the window rather than the stream: Before After (from win in xs.SnapshotWindow() from x in win orderby x.A select x.B).Take(k) from win in xs.SnapshotWindow() from b in     (from x in win     orderby x.A     select x.B).Take(k) select b Multicast We are introducing an explicit multicast operator in order to preserve expression identity, which is important given the semantics about moving code to and from StreamInsight. This also better matches existing LINQ dialects, such as Reactive. This pattern enables expressing multicasting in two ways: Implicit Explicit var ys = from x in xs          where x.A > 1          select x; var zs = from y1 in ys          from y2 in ys.ShiftEventTime(_ => TimeSpan.FromSeconds(1))          select y1 + y2; var ys = from x in xs          where x.A > 1          select x; var zs = ys.Multicast(ys1 =>     from y1 in ys1     from y2 in ys1.ShiftEventTime(_ => TimeSpan.FromSeconds(1))     select y1 + y2; Notice the product translates an expression using implicit multicast into an expression using the explicit multicast operator. The user does not see this translation. Default window policies Only default window policies are supported in the new surface. Other policies can be simulated by using AlterEventLifetime. Before After xs.SnapshotWindow(     WindowInputPolicy.ClipToWindow,     SnapshotWindowInputPolicy.Clip) xs.SnapshotWindow() xs.TumblingWindow(     TimeSpan.FromSeconds(1),     HoppingWindowOutputPolicy.PointAlignToWindowEnd) xs.TumblingWindow(     TimeSpan.FromSeconds(1)) xs.TumblingWindow(     TimeSpan.FromSeconds(1),     HoppingWindowOutputPolicy.ClipToWindowEnd) Not supported … LeftAntiJoin Representation of LASJ as a correlated sub-query in the LINQ surface is problematic as the StreamInsight engine does not support correlated sub-queries (see discussion of SelectMany). The current syntax requires the introduction of an otherwise unsupported ‘IsEmpty()’ operator. As a result, the pattern is not discoverable and implies capabilities not present in the server. The direct representation of LASJ is used instead: Before After from x in xs where     (from y in ys     where x.A > y.B     select y).IsEmpty() select x xs.LeftAntiJoin(ys, (x, y) => x.A > y.B) from x in xs where     (from y in ys     where x.A == y.B     select y).IsEmpty() select x xs.LeftAntiJoin(ys, x => x.A, y => y.B) ApplyWithUnion The ApplyWithUnion methods have been deprecated since their signatures are redundant given the standard SelectMany overloads: Before After xs.GroupBy(x => x.A).ApplyWithUnion(gs => from win in gs.SnapshotWindow() select win.Count()) xs.GroupBy(x => x.A).SelectMany(     gs =>     from win in gs.SnapshotWindow()     select win.Count()) xs.GroupBy(x => x.A).ApplyWithUnion(gs => from win in gs.SnapshotWindow() select win.Count(), r => new { r.Key, Count = r.Payload }) from x in xs group x by x.A into gs from win in gs.SnapshotWindow() select new { gs.Key, Count = win.Count() } Alternate UDO syntax The representation of UDOs in the StreamInsight LINQ dialect confuses cardinalities. Based on the semantics of user-defined operators in StreamInsight, one would expect to construct queries in the following form: from win in xs.SnapshotWindow() from y in MyUdo(win) select y Instead, the UDO proxy method is referenced within a projection, and the (many) results returned by the user code are automatically flattened into a stream: from win in xs.SnapshotWindow() select MyUdo(win) The “many-or-one” confusion is exemplified by the following example that compiles but fails at runtime: from win in xs.SnapshotWindow() select MyUdo(win) + win.Count() The above query must fail because the UDO is in fact returning many values per window while the count aggregate is returning one. Original syntax New alternate syntax from win in xs.SnapshotWindow() select win.UdoProxy(1) from win in xs.SnapshotWindow() from y in win.UserDefinedOperator(() => new Udo(1)) select y -or- from win in xs.SnapshotWindow() from y in win.UdoMacro(1) select y Notice that this formulation also sidesteps the dynamic type pitfalls of the existing “proxy method” approach to UDOs, in which the type of the UDO implementation (TInput, TOuput) and the type of its constructor arguments (TConfig) need to align in a precise and non-obvious way with the argument and return types for the corresponding proxy method. UDSO syntax UDSO currently leverages the DataContractSerializer to clone initial state for logical instances of the user operator. Initial state will instead be described by an expression in the new LINQ surface. Before After xs.Scan(new Udso()) xs.Scan(() => new Udso()) Name changes ShiftEventTime => AlterEventStartTime: The alter event lifetime overload taking a new start time value has been renamed. CountByStartTimeWindow => CountWindow

    Read the article

  • Sharepoint Foundation 2010 installation problems

    - by Robert Koritnik
    I'm having problems installing development machine for Sharepoint (Foundation) 2010. This is what I did so far on the same machine: Installed a clean Windows 7 x64 with 4GB of RAM without being part of any domain. Just a simple standalone machine. Enabled IIS related features as described here except IIS6 related ones (two of them) Installed SQL Server 2008 R2 Development Edition (DB Engine and Writer being enabled but not SQL Agent) Installed Visual Studio 2010 Premium Started installing Sharepoint Foundation 2010 with first extracting files, changing config to enable Windows 7 installation and then installed it as Server Farm (then Complete) to avoid installing SQL Express. Created a separate SPF_CONFIG local user with Logon on as a service right. Opened SPF Management Shell and run New-SPConfigurationDatabase so I am able to use a non-domain username (SPF_CONFIG that I created in the previous step) But all I get is this: The outcome after this error is: Database Sharepoint2010Config is created User SPF_CONFIG is added to SQL Server and attached to this newly created database as dbowner and checking SQL server security logins this user has following rights: dbcreator securityadmin public

    Read the article

  • Changes to the LINQ-to-StreamInsight Dialect

    - by Roman Schindlauer
    In previous versions of StreamInsight (1.0 through 2.0), CepStream<> represents temporal streams of many varieties: Streams with ‘open’ inputs (e.g., those defined and composed over CepStream<T>.Create(string streamName) Streams with ‘partially bound’ inputs (e.g., those defined and composed over CepStream<T>.Create(Type adapterFactory, …)) Streams with fully bound inputs (e.g., those defined and composed over To*Stream – sequences or DQC) The stream may be embedded (where Server.Create is used) The stream may be remote (where Server.Connect is used) When adding support for new programming primitives in StreamInsight 2.1, we faced a choice: Add a fourth variety (use CepStream<> to represent streams that are bound the new programming model constructs), or introduce a separate type that represents temporal streams in the new user model. We opted for the latter. Introducing a new type has the effect of reducing the number of (confusing) runtime failures due to inappropriate uses of CepStream<> instances in the incorrect context. The new types are: IStreamable<>, which logically represents a temporal stream. IQStreamable<> : IStreamable<>, which represents a queryable temporal stream. Its relationship to IStreamable<> is analogous to the relationship of IQueryable<> to IEnumerable<>. The developer can compose temporal queries over remote stream sources using this type. The syntax of temporal queries composed over IQStreamable<> is mostly consistent with the syntax of our existing CepStream<>-based LINQ provider. However, we have taken the opportunity to refine certain aspects of the language surface. Differences are outlined below. Because 2.1 introduces new types to represent temporal queries, the changes outlined in this post do no impact existing StreamInsight applications using the existing types! SelectMany StreamInsight does not support the SelectMany operator in its usual form (which is analogous to SQL’s “CROSS APPLY” operator): static IEnumerable<R> SelectMany<T, R>(this IEnumerable<T> source, Func<T, IEnumerable<R>> collectionSelector) It instead uses SelectMany as a convenient syntactic representation of an inner join. The parameter to the selector function is thus unavailable. Because the parameter isn’t supported, its type in StreamInsight 1.0 – 2.0 wasn’t carefully scrutinized. Unfortunately, the type chosen for the parameter is nonsensical to LINQ programmers: static CepStream<R> SelectMany<T, R>(this CepStream<T> source, Expression<Func<CepStream<T>, CepStream<R>>> streamSelector) Using Unit as the type for the parameter accurately reflects the StreamInsight’s capabilities: static IQStreamable<R> SelectMany<T, R>(this IQStreamable<T> source, Expression<Func<Unit, IQStreamable<R>>> streamSelector) For queries that succeed – that is, queries that do not reference the stream selector parameter – there is no difference between the code written for the two overloads: from x in xs from y in ys select f(x, y) Top-K The Take operator used in StreamInsight causes confusion for LINQ programmers because it is applied to the (unbounded) stream rather than the (bounded) window, suggesting that the query as a whole will return k rows: (from win in xs.SnapshotWindow() from x in win orderby x.A select x.B).Take(k) The use of SelectMany is also unfortunate in this context because it implies the availability of the window parameter within the remainder of the comprehension. The following compiles but fails at runtime: (from win in xs.SnapshotWindow() from x in win orderby x.A select win).Take(k) The Take operator in 2.1 is applied to the window rather than the stream: Before After (from win in xs.SnapshotWindow() from x in win orderby x.A select x.B).Take(k) from win in xs.SnapshotWindow() from b in     (from x in win     orderby x.A     select x.B).Take(k) select b Multicast We are introducing an explicit multicast operator in order to preserve expression identity, which is important given the semantics about moving code to and from StreamInsight. This also better matches existing LINQ dialects, such as Reactive. This pattern enables expressing multicasting in two ways: Implicit Explicit var ys = from x in xs          where x.A > 1          select x; var zs = from y1 in ys          from y2 in ys.ShiftEventTime(_ => TimeSpan.FromSeconds(1))          select y1 + y2; var ys = from x in xs          where x.A > 1          select x; var zs = ys.Multicast(ys1 =>     from y1 in ys1     from y2 in ys1.ShiftEventTime(_ => TimeSpan.FromSeconds(1))     select y1 + y2; Notice the product translates an expression using implicit multicast into an expression using the explicit multicast operator. The user does not see this translation. Default window policies Only default window policies are supported in the new surface. Other policies can be simulated by using AlterEventLifetime. Before After xs.SnapshotWindow(     WindowInputPolicy.ClipToWindow,     SnapshotWindowInputPolicy.Clip) xs.SnapshotWindow() xs.TumblingWindow(     TimeSpan.FromSeconds(1),     HoppingWindowOutputPolicy.PointAlignToWindowEnd) xs.TumblingWindow(     TimeSpan.FromSeconds(1)) xs.TumblingWindow(     TimeSpan.FromSeconds(1),     HoppingWindowOutputPolicy.ClipToWindowEnd) Not supported … LeftAntiJoin Representation of LASJ as a correlated sub-query in the LINQ surface is problematic as the StreamInsight engine does not support correlated sub-queries (see discussion of SelectMany). The current syntax requires the introduction of an otherwise unsupported ‘IsEmpty()’ operator. As a result, the pattern is not discoverable and implies capabilities not present in the server. The direct representation of LASJ is used instead: Before After from x in xs where     (from y in ys     where x.A > y.B     select y).IsEmpty() select x xs.LeftAntiJoin(ys, (x, y) => x.A > y.B) from x in xs where     (from y in ys     where x.A == y.B     select y).IsEmpty() select x xs.LeftAntiJoin(ys, x => x.A, y => y.B) ApplyWithUnion The ApplyWithUnion methods have been deprecated since their signatures are redundant given the standard SelectMany overloads: Before After xs.GroupBy(x => x.A).ApplyWithUnion(gs => from win in gs.SnapshotWindow() select win.Count()) xs.GroupBy(x => x.A).SelectMany(     gs =>     from win in gs.SnapshotWindow()     select win.Count()) xs.GroupBy(x => x.A).ApplyWithUnion(gs => from win in gs.SnapshotWindow() select win.Count(), r => new { r.Key, Count = r.Payload }) from x in xs group x by x.A into gs from win in gs.SnapshotWindow() select new { gs.Key, Count = win.Count() } Alternate UDO syntax The representation of UDOs in the StreamInsight LINQ dialect confuses cardinalities. Based on the semantics of user-defined operators in StreamInsight, one would expect to construct queries in the following form: from win in xs.SnapshotWindow() from y in MyUdo(win) select y Instead, the UDO proxy method is referenced within a projection, and the (many) results returned by the user code are automatically flattened into a stream: from win in xs.SnapshotWindow() select MyUdo(win) The “many-or-one” confusion is exemplified by the following example that compiles but fails at runtime: from win in xs.SnapshotWindow() select MyUdo(win) + win.Count() The above query must fail because the UDO is in fact returning many values per window while the count aggregate is returning one. Original syntax New alternate syntax from win in xs.SnapshotWindow() select win.UdoProxy(1) from win in xs.SnapshotWindow() from y in win.UserDefinedOperator(() => new Udo(1)) select y -or- from win in xs.SnapshotWindow() from y in win.UdoMacro(1) select y Notice that this formulation also sidesteps the dynamic type pitfalls of the existing “proxy method” approach to UDOs, in which the type of the UDO implementation (TInput, TOuput) and the type of its constructor arguments (TConfig) need to align in a precise and non-obvious way with the argument and return types for the corresponding proxy method. UDSO syntax UDSO currently leverages the DataContractSerializer to clone initial state for logical instances of the user operator. Initial state will instead be described by an expression in the new LINQ surface. Before After xs.Scan(new Udso()) xs.Scan(() => new Udso()) Name changes ShiftEventTime => AlterEventStartTime: The alter event lifetime overload taking a new start time value has been renamed. CountByStartTimeWindow => CountWindow

    Read the article

  • DataSource or ConnectionPoolDataSource for Application Server JDBC resources

    - by Vinnie
    When creating JNDI JDBC connection pools in an application server, I always specified the type as javax.sql.ConnectionPoolDataSource. I never really gave it too much thought as it always seemed natural to prefer pooled connections over non-pooled. However, in looking at some examples (specifically for Tomcat) I noticed that they specify javax.sql.DataSource. Further, it seems there are settings for maxIdle and maxWait giving the impression that these connections are pooled as well. Glassfish also allows these parameters regardless of the type of data source selected. Are javax.sql.DataSource pooled in an application server (or servlet container)? What (if any) advantages are there for choosing javax.sql.ConnectionPoolDataSource over javax.sql.DataSource (or vice versa)?

    Read the article

  • My error with upgrading 4.0 to 4.2- What NOT to do...

    - by Steve Tunstall
    Last week, I was helping a client upgrade from the 2011.1.4.0 code to the newest 2011.1.4.2 code. We downloaded the 4.2 update from MOS, upload and unpacked it on both controllers, and upgraded one of the controllers in the cluster with no issues at all. As this was a brand-new system with no networking or pools made on it yet, there were not any resources to fail back and forth between the controllers. Each controller had it's own, private, management interface (igb0 and igb1) and that's it. So we took controller 1 as the passive controller and upgraded it first. The first controller came back up with no issues and was now on the 4.2 code. Great. We then did a takeover on controller 1, making it the active head (although there were no resources for it to take), and then proceeded to upgrade controller 2. Upon upgrading the second controller, we ran the health check with no issues. We then ran the update and it ran and rebooted normally. However, something strange then happened. It took longer than normal to come back up, and when it did, we got the "cluster controllers on different code" error message that one gets when the two controllers of a cluster are running different code. But we just upgraded the second controller to 4.2, so they should have been the same, right??? Going into the Maintenance-->System screen of controller 2, we saw something very strange. The "current version" was still on 4.0, and the 4.2 code was there but was in the "previous" state with the rollback icon, as if it was the OLDER code and not the newer code. I have never seen this happen before. I would have thought it was a bad 4.2 code file, but it worked just fine with controller 1, so I don't think that was it. Other than the fact the code did not update, there was nothing else going on with this system. It had no yellow lights, no errors in the Problems section, and no errors in any of the logs. It was just out of the box a few hours ago, and didn't even have a storage pool yet. So.... We deleted the 4.2 code, uploaded it from scratch, ran the health check, and ran the upgrade again. once again, it seemed to go great, rebooted, and came back up to the same issue, where it came to 4.0 instead of 4.2. See the picture below.... HERE IS WHERE I MADE A BIG MISTAKE.... I SHOULD have instantly called support and opened a Sev 2 ticket. They could have done a shared shell and gotten the correct Fishwork engineer to look at the files and the code and determine what file was messed up and fixed it. The system was up and working just fine, it was just on an older code version, not really a huge problem at all. Instead, I went ahead and clicked the "Rollback" icon, thinking that the system would rollback to the 4.2 code.   Ouch... What happened was that the system said, "Fine, I will delete the 4.0 code and boot to your 4.2 code"... Which was stupid on my part because something was wrong with the 4.2 code file here and the 4.0 was just fine.  So now the system could not boot at all, and the 4.0 code was completely missing from the system, and even a high-level Fishworks engineer could not help us. I had messed it up good. We could only get to the ILOM, and I had to re-image the system from scratch using a hard-to-get-and-use FishStick USB drive. These are tightly controlled and difficult to get, almost always handcuffed to an engineer who will drive out to re-image a system. This took another day of my client's time.  So.... If you see a "previous version" of your system code which is actually a version higher than the current version... DO NOT ROLL IT BACK.... It did not upgrade for a very good reason. In my case, after the system was re-imaged to a code level just 3 back, we once again tried the same 4.2 code update and it worked perfectly the first time and is now great and stable.  Lesson learned.  By the way, our buddy Ryan Matthews wanted to point out the best practice and supported way of performing an upgrade of an active/active ZFSSA, where both controllers are doing some of the work. These steps would not have helpped me for the above issue, but it's important to follow the correct proceedure when doing an upgrade. 1) Upload software to both controllers and wait for it to unpack 2) On controller "A" navigate to configuration/cluster and click "takeover" 3) Wait for controller "B" to finish restarting, then login to it, navigate to maintenance/system, and roll forward to the new software. 4) Wait for controller "B" to apply the update and finish rebooting 5) Login to controller "B", navigate to configuration/cluster and click "takeover" 6) Wait for controller "A" to finish restarting, then login to it, navigate to maintenance/system, and roll forward to the new software. 7) Wait for controller "A" to apply the update and finish rebooting 8) Login to controller "B", navigate to configuration/cluster and click "failback"

    Read the article

  • Migrate a Django project from MySQL to Oracle

    - by pablo
    Hi, I have a Django1.1 project that works with a legacy MySQL db. I'm trying to migrate this project to Oracle (xe and 11g). We have two options for the migration: - Use SQL developer to create a migration sql script. - Use Django fixtures. The schema created with the sql script from sql developer doesn't match the schema created from syncdb. For example, Django expects TIMESTAMP columns while sql developer creates DATE columns. Using syncdb with Django fixtures could be great but when trying to load the MySQL fixtures into Oracle, after using syncdb, I'm getting: IntegrityError: ORA-00001: unique constraint (USER.SYS_C004253) violated How can I find what part create the integrity error? Thanks

    Read the article

  • World Backup Day

    - by red(at)work
    Here at Red Gate Towers, the SQL Backup development team have been hunkered down in their shed for the last few months, with the toolbox, blowtorch and chamois leather out, upgrading SQL Backup. When we started, autumn leaves were falling. Now we're about to finish, spring flowers are budding. If not quite a gleaming new machine, at the very least a familiar, reliable engine with some shiny new bits on it will trundle magnificently out of the workshop. One of the interesting things I've noticed about working on software development teams is that the team is together for so long 'implementing' stuff - designing, coding, testing, fixing bugs and so on - that you occasionally forget why you're doing what you're doing. Doubt creeps in. It feels like a long time since we launched this project in a fanfare of optimism and enthusiasm, and all that clarity of purpose and mission "yee-haw" has dissipated with the daily pressures of development. Every now and again, we look up from our bunker and notice all those thousands of users out there, with their different configurations and working practices and each with their own set of problems and requirements, and we ask ourselves "does anyone care about what we're doing?" Has the world moved on while we've been busy? Could we have been doing something more useful with the time and talent of all these excellent people we've assembled? In truth, you can research and test and validate all you like, but you never really know if you've done the right thing (or at least, something valuable for some users) until you release. All projects suffer this insecurity. If they don't, maybe you're not worrying enough about what you're building. The two enemies of software development are certainty and complacency. Oh, and of course, rival teams with Nerf guns. The goal of SQL Backup 7 is to make it so easy to schedule regular restores of your backups that you have no excuse not to. Why schedule a restore? Because your data is not as good as your last backup. It's only as good as your last successful restore. If you're not checking your backups by restoring them and running an integrity check on the database, you're only doing half the job. It seems that most DBAs know that this is best practice, but it can be tricky and time-consuming to set up, so it's one of those tasks that can get forgotten in the midst all the other demands on their time. Sometimes, they're just too busy firefighting. But if it was simple to do? That was our inspiration for SQL Backup 7. So it was heartening to read Brent Ozar's blog post the other day about World Backup Day. To be honest, I'd never heard of World Backup Day (Talk Like a Pirate Day, yes, but not this one); however, its emphasis on not just backing up your data but checking the validity of those backups was exactly the same message we had in mind when building SQL Backup 7. It's printed on a piece of A3 above our planning board - "Make backup verification so easy to do that no DBA has an excuse for not doing it" It's the missing piece that completes the puzzle. Simple idea, great concept, useful feature, but, as it turned out, far from straightforward to implement. The problem is the future. As Marty McFly discovered over the course of three movies, the future is uncertain and hard to predict - so when you are scheduling a restore to take place an hour, day, week or month after the backup, there are all kinds of questions that you wouldn't normally have to consider. Where will this backup live? Will it even exist at the time? Will it be split into multiple files? What will the file names be? Will it be encrypted? What files should it be restored to? SQL Backup needs to know what to expect at the time the restore job is actually run. Of course, a DBA will know the answer to all these questions, but to deliver the whole point of version 7, we wanted to make it easy for them to input that information into SQL Backup. We think we've done that. When you create your scheduled backup job, there is now an option to create a "reminder" to follow it up with a scheduled restore to verify the resulting backups. Actually, it's much more than a reminder, as it stores all the relevant data so you can click it and pre-populate the wizard with all the right settings to set up your verification restores. Simple. But, what do you think? We'd love you to try it. Post by Brian Harris

    Read the article

  • Developing Schema Compare for Oracle (Part 4): Script Configuration

    - by Simon Cooper
    If you've had a chance to play around with the Schema Compare for Oracle beta, you may have come across this screen in the synchronization wizard: This screen is one of the few screens that, along with the project configuration form, doesn't come from SQL Compare. This screen was designed to solve a couple of issues that, although aren't specific to Oracle, are much more of a problem than on SQL Server: Datatype conversions and NOT NULL columns. 1. Datatype conversions SQL Server is generally quite forgiving when it comes to datatype conversions using ALTER TABLE. For example, you can convert from a VARCHAR to INT using ALTER TABLE as long as all the character values are parsable as integers. Oracle, on the other hand, only allows ALTER TABLE conversions that don't change the internal data format. Essentially, every change that requires an actual datatype conversion has to be done using a rebuild with a conversion function. That's OK, as we can simply hard-code the various conversion functions for the valid datatype conversions and insert those into the rebuild SELECT list. However, as there always is with Oracle, there's a catch. Have a look at the NUMTODSINTERVAL function. As well as specifying the value (or column) to convert, you have to specify an interval_unit, which tells oracle how to interpret the input number. We can't hardcode a default for this parameter, as it is entirely dependent on the user's data context! So, in order to convert NUMBER to INTERVAL DAY TO SECOND/INTERVAL YEAR TO MONTH, we need to have feedback from the user as to what to put in this parameter while we're generating the sync script - this requires a new step in the engine action/script generation to insert these values into the script, as well as new UI to allow the user to specify these values in a sensible fashion. In implementing the engine and UI infrastructure to allow this it made much more sense to implement it for any rebuild datatype conversion, not just NUMBER to INTERVALs. For conversions which we can do, we pre-fill the 'value' box with the appropriate function from the documentation. The user can also type in arbitary SQL expressions, which allows the user to specify optional format parameters for the relevant conversion functions, or indeed call their own functions to convert between values that don't have a built-in conversion defined. As the value gets inserted as-is into the rebuild SELECT list, any expression that is valid in that context can be specified as the conversion value. 2. NOT NULL columns Another problem that is solved by the new step in the sync wizard is adding a NOT NULL column to a table. If the table contains data (as most database tables do), you can't just add a NOT NULL column, as Oracle doesn't know what value to put in the new column for existing rows - the DDL statement will fail. There are actually 3 separate scenarios for this problem that have separate solutions within the engine: Adding a NOT NULL column to a table without a rebuild Here, the workaround is to add a column default with an appropriate value to the column you're adding: ALTER TABLE tbl1 ADD newcol NUMBER DEFAULT <value> NOT NULL; Note, however, there is something to bear in mind about this solution; once specified on a column, a default cannot be removed. To 'remove' a default from a column you change it to have a default of NULL, hence there's code in the engine to treat a NULL default the same as no default at all. Adding a NOT NULL column to a table, where a separate change forced a table rebuild Fortunately, in this case, a column default is not required - we can simply insert the default value into the rebuild SELECT clause. Changing an existing NULL to a NOT NULL column To implement this, we run an UPDATE command before the ALTER TABLE to change all the NULLs in the column to the required default value. For all three, we need some way of allowing the user to specify a default value to use instead of NULL; as this is essentially the same problem as datatype conversion (inserting values into the sync script), we can re-use the UI and engine implementation of datatype conversion values. We also provide the option to alter the new column to allow NULLs, or to ignore the problem completely. Note that there is the same (long-running) problem in SQL Compare, but it is much more of an issue in Oracle as you cannot easily roll back executed DDL statements if the script fails at some point during execution. Furthermore, the engine of SQL Compare is far less conducive to inserting user-supplied values into the generated script. As we're writing the Schema Compare engine from scratch, we used what we learnt from the SQL Compare engine and designed it to be far more modular, which makes inserting procedures like this much easier.

    Read the article

  • Is MS Reporting Services suitable for stand-alone reports?

    - by JMarsch
    Hello all: I work for a ISV. Our product can use both SQL Server and Oracle as its back-end server. It includes a number of reports (currently in Crystal). We are investigating moving to Micrsoft Reporting Services, but I'm beginning to think that it's a bad idea. We want for our reports to look and feel as though they are a part of our application, and we will not require SQL Server (the customer can choose Oracle). Although I see the reporting services supports a stand-alone mode (RDLC), the boundry between what requires SQL server and what doesn't looks extremely ambiguous. (example, the stand-alone report builder appears to require SQL Server, most of the documentation appears to be part of SQL Server's documentation) It looks to me like if I want to keep my application DB-agnostic, I had better steer clear of Reporting Services. Have I missed the boat here?

    Read the article

  • Rails 3 Join Question for Votes Table

    - by Dex
    I have a table posts and a polymorphic table votes. The votes table looks like this: create_table :votes do |t| t.references :user # user_id t.vote # the vote value t.references :votable # votable_type and votable_id end I want to list all posts that the user has not yet voted on. Right now I'm basically taking all the posts they've already voted on and subtracting that from the entire set of posts. It works but it's not very convenient as I currently have it. def self.where_not_voted_on_by(user) sql = "SELECT P.* FROM posts P LEFT OUTER JOIN (" sql << where_voted_on_by(user).to_sql sql << ") ALREADY_VOTED_FOR ON P.id = ALREADY_VOTED_FOR.id WHERE (user_id is null)" puts sql resultset = connection.select_all(sql) results = [] resultset.each do |r| results << Post.new(r) end results end def self.where_voted_on_by(user) joins(:votes.outer).where("user_id = #{user.id}").select("posts.*, votes.user_id") end

    Read the article

  • Jet Database (ms access) ExecuteNonQuery - Can I make it faster?

    - by bluebill
    Hi all, I have this generic routine that I wrote that takes a list of sql strings and executes them against the database. Is there any way I can make this work faster? Typically it'll see maybe 200 inserts or deletes or updates at a time. Sometimes there is a mixture of updates, inserts and deletes. Would it be a good idea to separate the queries by type (i.e. group inserts together, then updates and then deletes)? I am running this against an ms access database and using vb.net 2005. Public Function ExecuteNonQuery(ByVal sql As List(Of String), ByVal dbConnection as String) As Integer If sql Is Nothing OrElse sql.Count = 0 Then Return 0 Dim recordCount As Integer = 0 Using connection As New OleDb.OleDbConnection(dbConnection) connection.Open() Dim transaction As OleDb.OleDbTransaction = connection.BeginTransaction() 'Using cmd As New OleDb.OleDbCommand() Using cmd As OleDb.OleDbCommand = connection.CreateCommand cmd.Connection = connection cmd.Transaction = transaction For Each s As String In sql If Not String.IsNullOrEmpty(s) Then cmd.CommandText = s recordCount += cmd.ExecuteNonQuery() End If Next transaction.Commit() End Using End Using Return recordCount End Function

    Read the article

  • Sharing Bandwidth and Prioritizing Realtime Traffic via HTB, Which Scenario Works Better?

    - by Mecki
    I would like to add some kind of traffic management to our Internet line. After reading a lot of documentation, I think HFSC is too complicated for me (I don't understand all the curves stuff, I'm afraid I will never get it right), CBQ is not recommend, and basically HTB is the way to go for most people. Our internal network has three "segments" and I'd like to share bandwidth more or less equally between those (at least in the beginning). Further I must prioritize traffic according to at least three kinds of traffic (realtime traffic, standard traffic, and bulk traffic). The bandwidth sharing is not as important as the fact that realtime traffic should always be treated as premium traffic whenever possible, but of course no other traffic class may starve either. The question is, what makes more sense and also guarantees better realtime throughput: Creating one class per segment, each having the same rate (priority doesn't matter for classes that are no leaves according to HTB developer) and each of these classes has three sub-classes (leaves) for the 3 priority levels (with different priorities and different rates). Having one class per priority level on top, each having a different rate (again priority won't matter) and each having 3 sub-classes, one per segment, whereas all 3 in the realtime class have highest prio, lowest prio in the bulk class, and so on. I'll try to make this more clear with the following ASCII art image: Case 1: root --+--> Segment A | +--> High Prio | +--> Normal Prio | +--> Low Prio | +--> Segment B | +--> High Prio | +--> Normal Prio | +--> Low Prio | +--> Segment C +--> High Prio +--> Normal Prio +--> Low Prio Case 2: root --+--> High Prio | +--> Segment A | +--> Segment B | +--> Segment C | +--> Normal Prio | +--> Segment A | +--> Segment B | +--> Segment C | +--> Low Prio +--> Segment A +--> Segment B +--> Segment C Case 1 Seems like the way most people would do it, but unless I don't read the HTB implementation details correctly, Case 2 may offer better prioritizing. The HTB manual says, that if a class has hit its rate, it may borrow from its parent and when borrowing, classes with higher priority always get bandwidth offered first. However, it also says that classes having bandwidth available on a lower tree-level are always preferred to those on a higher tree level, regardless of priority. Let's assume the following situation: Segment C is not sending any traffic. Segment A is only sending realtime traffic, as fast as it can (enough to saturate the link alone) and Segment B is only sending bulk traffic, as fast as it can (again, enough to saturate the full link alone). What will happen? Case 1: Segment A-High Prio and Segment B-Low Prio both have packets to send, since A-High Prio has the higher priority, it will always be scheduled first, till it hits its rate. Now it tries to borrow from Segment A, but since Segment A is on a higher level and Segment B-Low Prio has not yet hit its rate, this class is now served first, till it also hits the rate and wants to borrow from Segment B. Once both have hit their rates, both are on the same level again and now Segment A-High Prio is going to win again, until it hits the rate of Segment A. Now it tries to borrow from root (which has plenty of traffic spare, as Segment C is not using any of its guaranteed traffic), but again, it has to wait for Segment B-Low Prio to also reach the root level. Once that happens, priority is taken into account again and this time Segment A-High Prio will get all the bandwidth left over from Segment C. Case 2: High Prio-Segment A and Low Prio-Segment B both have packets to send, again High Prio-Segment A is going to win as it has the higher priority. Once it hits its rate, it tries to borrow from High Prio, which has bandwidth spare, but being on a higher level, it has to wait for Low Prio-Segment B again to also hit its rate. Once both have hit their rate and both have to borrow, High Prio-Segment A will win again until it hits the rate of the High Prio class. Once that happens, it tries to borrow from root, which has again plenty of bandwidth left (all bandwidth of Normal Prio is unused at the moment), but it has to wait again until Low Prio-Segment B hits the rate limit of the Low Prio class and also tries to borrow from root. Finally both classes try to borrow from root, priority is taken into account, and High Prio-Segment A gets all bandwidth root has left over. Both cases seem sub-optimal, as either way realtime traffic sometimes has to wait for bulk traffic, even though there is plenty of bandwidth left it could borrow. However, in case 2 it seems like the realtime traffic has to wait less than in case 1, since it only has to wait till the bulk traffic rate is hit, which is most likely less than the rate of a whole segment (and in case 1 that is the rate it has to wait for). Or am I totally wrong here? I thought about even simpler setups, using a priority qdisc. But priority queues have the big problem that they cause starvation if they are not somehow limited. Starvation is not acceptable. Of course one can put a TBF (Token Bucket Filter) into each priority class to limit the rate and thus avoid starvation, but when doing so, a single priority class cannot saturate the link on its own any longer, even if all other priority classes are empty, the TBF will prevent that from happening. And this is also sub-optimal, since why wouldn't a class get 100% of the line's bandwidth if no other class needs any of it at the moment? Any comments or ideas regarding this setup? It seems so hard to do using standard tc qdiscs. As a programmer it was such an easy task if I could simply write my own scheduler (which I'm not allowed to do).

    Read the article

  • Learning PostgreSql: Reading and Writing From .Net

    - by Alexander Kuznetsov
    In this post we shall do some setup tasks, save a few rows of data from a .Net client to PostgreSql, and read it back. Setting up We have set up a virtual machine running Red Hat Linux, installed PostgreSql 9.3 on it, and made sure there is enough disk space. 9.3 is a very recent version, released this September. Because PostgreSqlis not known for releasing before the full testing is complete, we did not have to wait for the next service pack or something like that. Smoke test On the client machine...(read more)

    Read the article

  • Geek City: What gets logged for index rebuild operations?

    - by Kalen Delaney
    This blog post was inspired by a question from a future student. Someone who was already booked for my SQL Server Internals class in June asked for some information on a current problem he was having with transaction log writes causing excessive wait times during index rebuild operations when run in ONLINE mode. He wanted to know if switching to BULK_LOGGED recovery could help. I knew the difference between ALTER INDEX in FULL vs BULK_LOGGED recovery when doing normal OFFLINE rebuilds, but I wasn't...(read more)

    Read the article

  • SSAS processing error: Client unable to establish connection; 08001; Encryption not supported on the client.; 08001

    - by Kevin Shyr
    After getting the cube to successfully deploy and process on Friday, I was baffled on Monday that the newly added dimension caused the cube processing to break.  I then followed the first instinct, discarded all my changes to reverted back to the version on Friday, and had no luck.  The error message (attached below) did not help as I was looking for some kind of SQL service error.  After examining the windows server log and the SQL server log, I just couldn't see anything wrong with it.After swearing for some time, and with the help of going off and working on something else for a while.  I came back to the solution and looked at the data source.  Even though I know I have never changed the provider (the default setup gave me SQL native client), I decided to change it and give OLE DB a try.This simple change allows my cube to process successfully again.  While I don't understand why the same settings that worked last week doesn't work this week, I don't have all the information to say with certainty that nothing has changed in the environment (firewall changes, server updates, etc.).SSAS processing error:<Batch >  <Parallel>    <Process xmlns:xsd="http://www.w3.org/2001/XMLSchema" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:ddl2="http://schemas.microsoft.com/analysisservices/2003/engine/2" xmlns:ddl2_2="http://schemas.microsoft.com/analysisservices/2003/engine/2/2" xmlns:ddl100_100="http://schemas.microsoft.com/analysisservices/2008/engine/100/100" xmlns:ddl200="http://schemas.microsoft.com/analysisservices/2010/engine/200" xmlns:ddl200_200="http://schemas.microsoft.com/analysisservices/2010/engine/200/200">      <Object>        <DatabaseID>DWH Sales Facts</DatabaseID>        <CubeID>DWH Sales Facts</CubeID>      </Object>      <Type>ProcessFull</Type>      <WriteBackTableCreation>UseExisting</WriteBackTableCreation>    </Process>  </Parallel></Batch>                Processing Dimension 'Date' completed.                                Errors and Warnings from Response                OLE DB error: OLE DB or ODBC error: A network-related or instance-specific error has occurred while establishing a connection to SQL Server. Server is not found or not accessible. Check if instance name is correct and if SQL Server is configured to allow remote connections. For more information see SQL Server Books Online.; 08001; Client unable to establish connection; 08001; Encryption not supported on the client.; 08001.                Errors in the high-level relational engine. A connection could not be made to the data source with the DataSourceID of 'DWH Sales Facts', Name of 'DWH Sales Facts'.                Errors in the OLAP storage engine: An error occurred while the dimension, with the ID of 'Currency', Name of 'Currency' was being processed.                Errors in the OLAP storage engine: An error occurred while the 'Currency Dim ID' attribute of the 'Currency' dimension from the 'DWH Sales Facts' database was being processed.                Internal error: The operation terminated unsuccessfully.                Server: The operation has been cancelled.

    Read the article

  • SharePoint.DesignFactory.ContentFiles–building WCM sites

    - by svdoever
    One of the use cases where we use the SharePoint.DesignFactory.ContentFiles tooling is in building SharePoint Publishing (WCM) solutions for SharePoint 2007, SharePoint 2010 and Office365. Publishing solutions are often solutions that have one instance, the publishing site (possibly with subsites), that in most cases need to go through DTAP. If you dissect a publishing site, in most case you have the following findings: The publishing site spans a site collection The branding of the site is specified in the root site, because: Master pages live in the root site (/_catalogs/masterpage) Page layouts live in the root site (/_catalogs/masterpage) The style library lives in the root site ( /Style Library) and contains images, css, javascript, xslt transformations for your CQWP’s, … Preconfigured web parts live in the root site (/_catalogs/wp) The root site and subsites contains a document library called Pages (or your language-specific version of it) containing publishing pages using the page layouts and master pages The site collection contains content types, fields and lists When using the SharePoint.DesignFactory.ContentFiles tooling it is very easy to create, test, package and deploy the artifacts that can be uploaded to the SharePoint content database. This can be done in a fast and simple way without the need to create and deploy WSP packages. If we look at the above list of artifacts we can use SharePoint.DesignFactory.ContentFiles for master pages, page layouts, the style library, web part configurations, and initial publishing pages (these are normally made through the SharePoint web UI). Some artifacts like content types, fields and lists in the above list can NOT be handled by SharePoint.DesignFactory.ContentFiles, because they can’t be uploaded to the SharePoint content database. The good thing is that these artifacts are the artifacts that don’t change that much in the development of a SharePoint Publishing solution. There are however multiple ways to create these artifacts: Use paper script: create them manually in each of the environments based on documentation Automate the creation of the artifacts using (PowerShell) script Develop a WSP package to create these artifacts I’m not a big fan of the third option (see my blog post Thoughts on building deployable and updatable SharePoint solutions). It is a lot of work to create content types, fields and list definitions using all kind of XML files, and it is not allowed to modify these artifacts when in use. I know… SharePoint 2010 has some content type upgrade possibilities, but I think it is just too cumbersome. The first option has the problem that content types and fields get ID’s, and that these ID’s must be used by the metadata on for example page layouts. No problem for SharePoint.DesignFactory.ContentFiles, because it supports deploy-time resolving of these ID’s using PowerShell. For example consider the following metadata definition for the page layout contactpage-wcm.aspx.properties.ps1: Metadata page layout # This script must return a hashtable @{ name=value; ... } of field name-value pairs # for the content file that this script applies to. # On deployment to SharePoint, these values are written as fields in the corresponding list item (if any) # Note that fields must exist; they can be updated but not created or deleted. # This script is called right after the file is deployed to SharePoint.   # You can use the script parameters and arbitrary PowerShell code to interact with SharePoint. # e.g. to calculate properties and values at deployment time.   param([string]$SourcePath, [string]$RelativeUrl, $Context) @{     "ContentTypeId" = $Context.GetContentTypeID('GeneralPage');     "MasterPageDescription" = "Cloud Aviator Contact pagelayout (wcm - don't use)";     "PublishingHidden" = "1";     "PublishingAssociatedContentType" = $Context.GetAssociatedContentTypeInfo('GeneralPage') } The PowerShell functions GetContentTypeID and GetAssociatedContentTypeInfo can at deploy-time resolve the required information from the server we are deploying to. I personally prefer the second option: automate creation through PowerShell, because there are PowerShell scripts available to export content types and fields. An example project structure for a typical SharePoint WCM site looks like: Note that this project uses DualLayout. So if you build Publishing sites using SharePoint, checkout out the completely free SharePoint.DesignFactory.ContentFiles tooling and start flying!

    Read the article

  • Web Services for Info Explorer Zones

    - by Anthony Shorten
    One of the most interesting uses for XAI and Configurable objects is the exposure of a query portal as a Web Service. Let me illustrate this with an example. Say you have an interface that requires a list of data from a number of product tables. In the past you would have to build a java program to do this with SQL then use an application service but it is now possible with just configuration. The first step in the process is to create the SQL you want to use for the interface. It can be any valid static SQL or use host variables for the WHERE clause (we call that filtered). Once you are happy with the SQL (and it performs acceptably) you can incorporate that SQL into a Info-Explorer Zone. You can use any of the explorer zone types but I typically recommend F1-DE-SINGLE as it supports a single SQL statement with multiple filters (up to 15) as well as hidden filters (up to 5). Hidden filters are typically not displayed in the UI for criteria (remember explorer zones can be used on the user Interface as well) but for web services they can be used as normal filters (this means you can use up to 20 filters all up). Once you are happy with the zone, you now need to define it as a Business Service. We have a generic service called FWLZDEXP which allows a explorer zone to be defined as a Business Service. If you open any Business Service based upon FWLZDEXP you will see some examples. The schema is standard and pretty self explanatory in terms of the structure. The schema pattern looks like this: Zone element - maps to the ZONE_CD element and the default value is the zone name you just created. This links the business service to the zone. Filter elements - You name the filters as you like but the mapField is set to Fx_VALUE where x is the filter number corresponding to the filter element in the zone definition. Hidden filter elements - You name the filters as you like but the mapField is set to Hx_VALUE where x is the filter number corresponding to the hidden filter element in the zone definition. results group - this holds the elements of the result set. Each element in your result set has a tagname and is linked to the COL_VALUE mapField and the row element is lists the SEQNO of the column. This corresponds to the column number in the results set in the zone. An example schema is shown below for the F1-USGRACML zone, which returns the access modes for a user group and application service filters. In the example, the userGroup and applicationService elements are the filters and the rows would contain a list of accessModeDescr. This is just a simple example to illustrate the point. There are lots of examples in the product that you can investigate. One recommendation, to save time, is that you copy the schema from one of the examples to save you typing it from scratch. You can simply modify the tags and other elements to suit your needs. Once the Business Service is defined it can simply be defined as a Web Service by registering an XAI Inbound Service using the Business Service definition as a basis. You now have a Web Service based upon a Info Explorer Zone. This is one of my favorite components as it allows interfaces to be simplified. This will be my last blog entry for this year. I hope you all have a great and safe Christmas and an even greater new year. Next year promises to be an exciting year and I look forward to communicating exciting developments we are working on at the moment as they are released.

    Read the article

  • Visual Studio 2010 SP1

    - by ScottGu
    Last week we shipped Service Pack 1 of Visual Studio 2010 and the Visual Studio Express Tools.  In addition to bug fixes and performance improvements, SP1 includes a number of feature enhancements.  This includes improved local help support, IntelliTrace support for 64-bit applications and SharePoint, built-in Silverlight 4 Tooling support in the box, unit testing support when targeting .NET 3.5, a new performance wizard for Silverlight, IIS Express and SQL CE Tooling support for web projects, HTML5 Intellisense for ASP.NET, and more.  TFS 2010 SP1 was also released last week, together with a new TFS Project Server Integration Pack and Load Test Feature Pack.  Brian Harry has a good blog post about the TFS updates here. VS 2010 SP1 Download Click here to download and install SP1 for all versions of Visual Studio (including express).  This installer examines what you have installed on your machine, and only downloads the servicing downloads necessary to update them to SP1.  The time it takes to download and update will consequently depend on what all you have installed.  Jon Galloway has a good blog post on tips to speed up the SP1 install by uninstalling unused components. Web Platform Installer Bundles In addition to the core VS 2010 SP1 installer, we have also put together two Web Platform Installer (WebPI) bundles that automate installing SP1 together with additional web-specific components: VS 2010 SP1 WebPI Bundle Visual Web Developer 2010 SP1 WebPI Bundle The above WebPI bundles automate installing: VS 2010/VWD 2010 SP1 ASP.NET MVC 3 (runtime + tools support) IIS 7.5 Express SQL Server Compact Edition 4.0 (runtime + tools support) Web Deployment 2.0 Only the components that are not already installed on your machine will be downloaded when you use the above WebPI bundles.  This means that you can run the WebPI bundle at any time (even if you have already installed SP1 or ASP.NET MVC 3) and not have to worry about wasting time downloading/installing these components again. Earlier this year I did two posts that discussed how to use IIS Express and SQL CE with ASP.NET projects in SP1.  Read the below posts to learn more about how to use them after you run the above bundles: Visual Studio 2010 SP1 and IIS Express Visual Studio 2010 SP1 and SQL CE for ASP.NET The above feature additions work with any web project type – including both ASP.NET Web Forms and ASP.NET MVC. Additional SP1 Notes Two additional notes about VS 2010 SP1: 1) One change we made between RTM and SP1 is that by default Visual Studio now uses software rendering instead of hardware acceleration when running on Windows XP.  We made this change because we’ve seen reports of (often inconsistent) performance issues caused by older video drivers.  Running in software mode eliminates these and delivers consistent speeds.  You can optionally re-enable hardware acceleration with SP1 using Visual Studio’s Tools->Options menu command – we did not remove support for HW acceleration on XP, we simply changed the default setting for it.  Jason Zander has written more details on the change and how to re-enable HW acceleration inside VS here. 2) We have discovered an issue where installing SP1 can cause TSQL intellisense within SQL Server Management Studio 2008 R2 to stop working (typing still works – but intellisense doesn’t show up).  The SQL team is investigating this now and I’ll post an update on how to fix this once more details are known.  Hope this helps, Scott P.S. I am also now using Twitter for quick updates and to share links. Follow me at: twitter.com/scottgu

    Read the article

  • A temporary disagreement

    - by Tony Davis
    Last month, Phil Factor caused a furore amongst some MVPs with an article that attempted to offer simple advice to developers regarding the use of table variables, versus local and global temporary tables, in their code. Phil makes clear that the table variables do come with some fairly major limitations.no distribution statistics, no parallel query plans for queries that modify table variables.but goes on to suggest that for reasonably small-scale strategic uses, and with a bit of due care and testing, table variables are a "good thing". Not everyone shares his opinion; in fact, I imagine he was rather aghast to learn that there were those felt his article was akin to pulling the pin out of a grenade and tossing it into the database; table variables should be avoided in almost all cases, according to their advice, in favour of temp tables. In other words, a fairly major feature of SQL Server should be more-or-less 'off limits' to developers. The problem with temp tables is that, because they are scoped either in the procedure or the connection, it is easy to allow them to hang around for too long, eating up precious memory and bulking up the shared tempdb database. Unless they are explicitly dropped, global temporary tables, and local temporary tables created within a connection rather than within a stored procedure, will persist until the connection is closed or, with connection pooling, until the connection is reused. It's also quite common with ASP.NET applications to have connection leaks, as Bill Vaughn explains in his chapter in the "SQL Server Deep Dives" book, meaning that the web page exits without closing the connection object, maybe due to an error condition. This will then hang around in the heap for what might be hours before picked up by the garbage collector. Table variables are much safer in this regard, since they are batch-scoped and so are cleaned up automatically once the batch is complete, which also means that they are intuitive to use for the developer because they conform to scoping rules that are closer to those in procedural code. On the surface then, an ideal way to deal with issues related to tempdb memory hogging. So why did Phil qualify his recommendation to use Table Variables? This is another of those cases where, like scalar UDFs and table-valued multi-statement UDFs, developers can sometimes get into trouble with a relatively benign-looking feature, due to way it's been implemented in SQL Server. Once again the biggest problem is how they are handled internally, by the SQL Server query optimizer, which can make very poor choices for JOIN orders and so on, in the absence of statistics, especially when joining to tables with highly-skewed data. The resulting execution plans can be horrible, as will be the resulting performance. If the JOIN is to a large table, that will hurt. Ideally, Microsoft would simply fix this issue so that developers can't get burned in this way; they've been around since SQL Server 2000, so Microsoft has had a bit of time to get it right. As I commented in regard to UDFs, when developers discover issues like with such standard features, the database becomes an alien planet to them, where death lurks around each corner, and they continue to avoid these "killer" features years after the problems have been eventually resolved. In the meantime, what is the right approach? Is it to say "hammers can kill, don't ever use hammers", or is it to try to explain, as Phil's article and follow-up blog post have tried to do, what the feature was intended for, why care must be applied in its use, and so enable developers to make properly-informed decisions, without requiring them to delve deep into the inner workings of SQL Server? Cheers, Tony.

    Read the article

  • Oracle Big Data Software Downloads

    - by Mike.Hallett(at)Oracle-BI&EPM
    Companies have been making business decisions for decades based on transactional data stored in relational databases. Beyond that critical data, is a potential treasure trove of less structured data: weblogs, social media, email, sensors, and photographs that can be mined for useful information. Oracle offers a broad integrated portfolio of products to help you acquire and organize these diverse data sources and analyze them alongside your existing data to find new insights and capitalize on hidden relationships. Oracle Big Data Connectors Downloads here, includes: Oracle SQL Connector for Hadoop Distributed File System Release 2.1.0 Oracle Loader for Hadoop Release 2.1.0 Oracle Data Integrator Companion 11g Oracle R Connector for Hadoop v 2.1 Oracle Big Data Documentation The Oracle Big Data solution offers an integrated portfolio of products to help you organize and analyze your diverse data sources alongside your existing data to find new insights and capitalize on hidden relationships. Oracle Big Data, Release 2.2.0 - E41604_01 zip (27.4 MB) Integrated Software and Big Data Connectors User's Guide HTML PDF Oracle Data Integrator (ODI) Application Adapter for Hadoop Apache Hadoop is designed to handle and process data that is typically from data sources that are non-relational and data volumes that are beyond what is handled by relational databases. Typical processing in Hadoop includes data validation and transformations that are programmed as MapReduce jobs. Designing and implementing a MapReduce job usually requires expert programming knowledge. However, when you use Oracle Data Integrator with the Application Adapter for Hadoop, you do not need to write MapReduce jobs. Oracle Data Integrator uses Hive and the Hive Query Language (HiveQL), a SQL-like language for implementing MapReduce jobs. Employing familiar and easy-to-use tools and pre-configured knowledge modules (KMs), the application adapter provides the following capabilities: Loading data into Hadoop from the local file system and HDFS Performing validation and transformation of data within Hadoop Loading processed data from Hadoop to an Oracle database for further processing and generating reports Oracle Database Loader for Hadoop Oracle Loader for Hadoop is an efficient and high-performance loader for fast movement of data from a Hadoop cluster into a table in an Oracle database. It pre-partitions the data if necessary and transforms it into a database-ready format. Oracle Loader for Hadoop is a Java MapReduce application that balances the data across reducers to help maximize performance. Oracle R Connector for Hadoop Oracle R Connector for Hadoop is a collection of R packages that provide: Interfaces to work with Hive tables, the Apache Hadoop compute infrastructure, the local R environment, and Oracle database tables Predictive analytic techniques, written in R or Java as Hadoop MapReduce jobs, that can be applied to data in HDFS files You install and load this package as you would any other R package. Using simple R functions, you can perform tasks such as: Access and transform HDFS data using a Hive-enabled transparency layer Use the R language for writing mappers and reducers Copy data between R memory, the local file system, HDFS, Hive, and Oracle databases Schedule R programs to execute as Hadoop MapReduce jobs and return the results to any of those locations Oracle SQL Connector for Hadoop Distributed File System Using Oracle SQL Connector for HDFS, you can use an Oracle Database to access and analyze data residing in Hadoop in these formats: Data Pump files in HDFS Delimited text files in HDFS Hive tables For other file formats, such as JSON files, you can stage the input in Hive tables before using Oracle SQL Connector for HDFS. Oracle SQL Connector for HDFS uses external tables to provide Oracle Database with read access to Hive tables, and to delimited text files and Data Pump files in HDFS. Related Documentation Cloudera's Distribution Including Apache Hadoop Library HTML Oracle R Enterprise HTML Oracle NoSQL Database HTML Recent Blog Posts Big Data Appliance vs. DIY Price Comparison Big Data: Architecture Overview Big Data: Achieve the Impossible in Real-Time Big Data: Vertical Behavioral Analytics Big Data: In-Memory MapReduce Flume and Hive for Log Analytics Building Workflows in Oozie

    Read the article

  • ODI 11g – Oracle Multi Table Insert

    - by David Allan
    With the IKM Oracle Multi Table Insert you can generate Oracle specific DML for inserting into multiple target tables from a single query result – without reprocessing the query or staging its result. When designing this to exploit the IKM you must split the problem into the reusable parts – the select part goes in one interface (I named SELECT_PART), then each target goes in a separate interface (INSERT_SPECIAL and INSERT_REGULAR). So for my statement below… /*INSERT_SPECIAL interface */ insert  all when 1=1 And (INCOME_LEVEL > 250000) then into SCOTT.CUSTOMERS_NEW (ID, NAME, GENDER, BIRTH_DATE, MARITAL_STATUS, INCOME_LEVEL, CREDIT_LIMIT, EMAIL, USER_CREATED, DATE_CREATED, USER_MODIFIED, DATE_MODIFIED) values (ID, NAME, GENDER, BIRTH_DATE, MARITAL_STATUS, INCOME_LEVEL, CREDIT_LIMIT, EMAIL, USER_CREATED, DATE_CREATED, USER_MODIFIED, DATE_MODIFIED) /* INSERT_REGULAR interface */ when 1=1  then into SCOTT.CUSTOMERS_SPECIAL (ID, NAME, GENDER, BIRTH_DATE, MARITAL_STATUS, INCOME_LEVEL, CREDIT_LIMIT, EMAIL, USER_CREATED, DATE_CREATED, USER_MODIFIED, DATE_MODIFIED) values (ID, NAME, GENDER, BIRTH_DATE, MARITAL_STATUS, INCOME_LEVEL, CREDIT_LIMIT, EMAIL, USER_CREATED, DATE_CREATED, USER_MODIFIED, DATE_MODIFIED) /*SELECT*PART interface */ select        CUSTOMERS.EMAIL EMAIL,     CUSTOMERS.CREDIT_LIMIT CREDIT_LIMIT,     UPPER(CUSTOMERS.NAME) NAME,     CUSTOMERS.USER_MODIFIED USER_MODIFIED,     CUSTOMERS.DATE_MODIFIED DATE_MODIFIED,     CUSTOMERS.BIRTH_DATE BIRTH_DATE,     CUSTOMERS.MARITAL_STATUS MARITAL_STATUS,     CUSTOMERS.ID ID,     CUSTOMERS.USER_CREATED USER_CREATED,     CUSTOMERS.GENDER GENDER,     CUSTOMERS.DATE_CREATED DATE_CREATED,     CUSTOMERS.INCOME_LEVEL INCOME_LEVEL from    SCOTT.CUSTOMERS   CUSTOMERS where    (1=1) Firstly I create a SELECT_PART temporary interface for the query to be reused and in the IKM assignment I state that it is defining the query, it is not a target and it should not be executed. Then in my INSERT_SPECIAL interface loading a target with a filter, I set define query to false, then set true for the target table and execute to false. This interface uses the SELECT_PART query definition interface as a source. Finally in my final interface loading another target I set define query to false again, set target table to true and execute to true – this is the go run it indicator! To coordinate the statement construction you will need to create a package with the select and insert statements. With 11g you can now execute the package in simulation mode and preview the generated code including the SQL statements. Hopefully this helps shed some light on how you can leverage the Oracle MTI statement. A similar IKM exists for Teradata. The ODI IKM Teradata Multi Statement supports this multi statement request in 11g, here is an extract from the paper at www.teradata.com/white-papers/born-to-be-parallel-eb3053/ Teradata Database offers an SQL extension called a Multi-Statement Request that allows several distinct SQL statements to be bundled together and sent to the optimizer as if they were one. Teradata Database will attempt to execute these SQL statements in parallel. When this feature is used, any sub-expressions that the different SQL statements have in common will be executed once, and the results shared among them. It works in the same way as the ODI MTI IKM, multiple interfaces orchestrated in a package, each interface contributes some SQL, the last interface in the chain executes the multi statement.

    Read the article

  • Silverlight Cream for December 13, 2010 -- #1010

    - by Dave Campbell
    In this Issue: Rénald Nollet, Benjamin Gavin, Dennis Doomen, Tim Greenfield, Mike Taulty, Jeff Blankenburg, Michael Crump, Laurent Duveau, Dragos Manolescu, KeyboardP, Yochay Kiriaty. Above the Fold: Silverlight: "Silverlight RIA Services and Basic, Anonymous Authentication" Benjamin Gavin WP7: "lving Circular Navigation in Windows Phone Silverlight Applications" Yochay Kiriaty SQL Azure: "SQL Azure Database Manager – Part 1 : How to connect to your SQL Azure DB" Rénald Nollet Shoutouts: Yochay Kiriaty has a post up on the Windows Phone Devloper Blog about open source (MSPL) projects helping WP7 devs: Windows Phone Recipes – Helping the Community Jesse Liberty's latest Yet Another Podcast is up and thie time it's Joe Stagner: Yet Another Podcast #18 – Joe Stagner Josh Schwartzberg sent me this link to what is apparently his yearly web-only rock Christmas album: MetalXmas... done in Silverlight and RIA Services From SilverlightCream.com: SQL Azure Database Manager – Part 1 : How to connect to your SQL Azure DB Rénald Nollet posted Part 1 of a series on a SQL Azure database manager all in Silverlight... has a live demo running, some description, and is making us wait for the next part! Silverlight RIA Services and Basic, Anonymous Authentication Benjamin Gavin has a quick post up resolving a basic RIA Services problem that I bet a lot of folks are looking for the answer on... like 500 series errors... cool little find he ferreted out... A night of Silverlight, WPF, unit testing and Caliburn Micro Dennis Doomen in concert with his employer gave a couple talks at the local DotNED user group, and covered literally a cornucopia of topics... slides, and example code for both talks... lotsa material here... Tim Greenfield on PuzzleTouch WP7 Application Tim Greenfield is the latest WP7 app developer to be interviewed by the SilverlightShow crew... lots of interesting comments and insight from Tim. Rebuilding the PDC 2010 Silverlight Application (Part 4) Mike Taulty has part 4 of his PDC 2010 Silverlight app construction project up and is taking the app into Blend, and the considerations that brought to the table. What I Learned In WP7 – Issue #2 Jeff Blankenburg continues his "What I Learned" series with this discussion about fonts, the Non-Linear Navigation service I mention below, and possible WP7 jobs. Part 3 of 4 : Tips/Tricks for Silverlight Developers Michael Crump has Part 3 of his Tips/Tricks up today. Lots of goodies this time: underlining in a TextBlock, getting browser info, startup params, VisualTreeHelper, and child windows. My Windows Phone 7 presentation in Montreal Laurent Duveau gave a WP7 presentation in Montreal as part of the Microsoft Windows Phone 7 Developer's Briefing, and has posted his materials and slide deck WP7 Code: Mocking Event Streams with IEnumerable Dragos Manolescu has a very cool post up on using IEnumerable to Mock event streams by leveraging the IObservable/IEnumerable duality, and uses the 2D bubble app that you can run and test in the emulator without needing an accelerometer Transparent Wallpapers – Video Tutorial KeyboardP has had so many queries about his Transparent wallpaper for WP7 that he produced a video tutorial for it... Solving Circular Navigation in Windows Phone Silverlight Applications Yochay Kiriaty discusses the first recipe they are releasing ... see the shoutout above, a Nonlinear Navigation Service ... to help with apps that have loops in navigation. Stay in the 'Light! Twitter SilverlightNews | Twitter WynApse | WynApse.com | Tagged Posts | SilverlightCream Join me @ SilverlightCream | Phoenix Silverlight User Group Technorati Tags: Silverlight    Silverlight 3    Silverlight 4    Windows Phone MIX10

    Read the article

< Previous Page | 773 774 775 776 777 778 779 780 781 782 783 784  | Next Page >