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  • Important Note for Enablement Service Pack 1 for UPK 3.6.1

    - by marc.santosusso
    The following was originally posted to one of the UPK communities on LinkedIn. Since this post generated some feedback that this information was not well-known, I thought it would be good to repost, which I've done with permission from Earl Sullivan. This is an FYI for those who have UPK 3.6.1 and applied the Enablement Pack 1. There is a manual database update that is needed to be run. Here is the information: To correct an issue with permissioning in the Library, this Service Pack, issued in March 2010, also contains scripts to update the database on the Oracle Database or MicrosoftSQL server. Once you have run the Setup.exe file for the Service Pack, the necessary script files can be found at the root of the folder where the Developer is installed. These scripts must be run manually according to the instructions below. To update a database located on an Oracle Database server manually: Run the Setup.exe to install the files for the Service Pack. Start SQL*Plus and login with the system account. At the command prompt, enter the path to the AlterSchemaObjects.sql script located at the root of the folder where the Developer is installed. and append the following parameters: schema_owner - There is a limit of 20 characters on the schema owner name. You can find this information in the web.config file located in the Repository.WS in the folder where the server is installed. password - The existing schema owner password. Statement with generic parameters: @C:\AlterSchemaObjects.sql schema_owner password 4. Run the AlterSchemaObjects.sql script. To update a database located on a Microsoft SQL server manually: Run the Setup.exe to install the files for the Service Pack. Log in to the database using the database administrator account. Open and edit the AlterDBObjects.sql file located at the root of the folder where the Developer is installed. Replace the ODServer text with the username used when the database was installed. You can find this information in the web.config file located in the Repository.WS folder in the folder where the server is installed. Change the database from master to the name of the existing Developer database and run the AlterDBObjects.sql script. Note: The database name is the initial catalog in the connection string in the web.config file. Editor's note: The database update fixes a problem with permissions where the permissions for a user will be incorrectly updated when a group that the user was removed from has their permissions changed.

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  • MySQL Cluster 7.2: Over 8x Higher Performance than Cluster 7.1

    - by Mat Keep
    0 0 1 893 5092 Homework 42 11 5974 14.0 Normal 0 false false false EN-US JA X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin:0cm; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:12.0pt; font-family:Cambria; mso-ascii-font-family:Cambria; mso-ascii-theme-font:minor-latin; mso-hansi-font-family:Cambria; mso-hansi-theme-font:minor-latin; mso-ansi-language:EN-US;} Summary The scalability enhancements delivered by extensions to multi-threaded data nodes enables MySQL Cluster 7.2 to deliver over 8x higher performance than the previous MySQL Cluster 7.1 release on a recent benchmark What’s New in MySQL Cluster 7.2 MySQL Cluster 7.2 was released as GA (Generally Available) in February 2012, delivering many enhancements to performance on complex queries, new NoSQL Key / Value API, cross-data center replication and ease-of-use. These enhancements are summarized in the Figure below, and detailed in the MySQL Cluster New Features whitepaper Figure 1: Next Generation Web Services, Cross Data Center Replication and Ease-of-Use Once of the key enhancements delivered in MySQL Cluster 7.2 is extensions made to the multi-threading processes of the data nodes. Multi-Threaded Data Node Extensions The MySQL Cluster 7.2 data node is now functionally divided into seven thread types: 1) Local Data Manager threads (ldm). Note – these are sometimes also called LQH threads. 2) Transaction Coordinator threads (tc) 3) Asynchronous Replication threads (rep) 4) Schema Management threads (main) 5) Network receiver threads (recv) 6) Network send threads (send) 7) IO threads Each of these thread types are discussed in more detail below. MySQL Cluster 7.2 increases the maximum number of LDM threads from 4 to 16. The LDM contains the actual data, which means that when using 16 threads the data is more heavily partitioned (this is automatic in MySQL Cluster). Each LDM thread maintains its own set of data partitions, index partitions and REDO log. The number of LDM partitions per data node is not dynamically configurable, but it is possible, however, to map more than one partition onto each LDM thread, providing flexibility in modifying the number of LDM threads. The TC domain stores the state of in-flight transactions. This means that every new transaction can easily be assigned to a new TC thread. Testing has shown that in most cases 1 TC thread per 2 LDM threads is sufficient, and in many cases even 1 TC thread per 4 LDM threads is also acceptable. Testing also demonstrated that in some instances where the workload needed to sustain very high update loads it is necessary to configure 3 to 4 TC threads per 4 LDM threads. In the previous MySQL Cluster 7.1 release, only one TC thread was available. This limit has been increased to 16 TC threads in MySQL Cluster 7.2. The TC domain also manages the Adaptive Query Localization functionality introduced in MySQL Cluster 7.2 that significantly enhanced complex query performance by pushing JOIN operations down to the data nodes. Asynchronous Replication was separated into its own thread with the release of MySQL Cluster 7.1, and has not been modified in the latest 7.2 release. To scale the number of TC threads, it was necessary to separate the Schema Management domain from the TC domain. The schema management thread has little load, so is implemented with a single thread. The Network receiver domain was bound to 1 thread in MySQL Cluster 7.1. With the increase of threads in MySQL Cluster 7.2 it is also necessary to increase the number of recv threads to 8. This enables each receive thread to service one or more sockets used to communicate with other nodes the Cluster. The Network send thread is a new thread type introduced in MySQL Cluster 7.2. Previously other threads handled the sending operations themselves, which can provide for lower latency. To achieve highest throughput however, it has been necessary to create dedicated send threads, of which 8 can be configured. It is still possible to configure MySQL Cluster 7.2 to a legacy mode that does not use any of the send threads – useful for those workloads that are most sensitive to latency. The IO Thread is the final thread type and there have been no changes to this domain in MySQL Cluster 7.2. Multiple IO threads were already available, which could be configured to either one thread per open file, or to a fixed number of IO threads that handle the IO traffic. Except when using compression on disk, the IO threads typically have a very light load. Benchmarking the Scalability Enhancements The scalability enhancements discussed above have made it possible to scale CPU usage of each data node to more than 5x of that possible in MySQL Cluster 7.1. In addition, a number of bottlenecks have been removed, making it possible to scale data node performance by even more than 5x. Figure 2: MySQL Cluster 7.2 Delivers 8.4x Higher Performance than 7.1 The flexAsynch benchmark was used to compare MySQL Cluster 7.2 performance to 7.1 across an 8-node Intel Xeon x5670-based cluster of dual socket commodity servers (6 cores each). As the results demonstrate, MySQL Cluster 7.2 delivers over 8x higher performance per data nodes than MySQL Cluster 7.1. More details of this and other benchmarks will be published in a new whitepaper – coming soon, so stay tuned! In a following blog post, I’ll provide recommendations on optimum thread configurations for different types of server processor. You can also learn more from the Best Practices Guide to Optimizing Performance of MySQL Cluster Conclusion MySQL Cluster has achieved a range of impressive benchmark results, and set in context with the previous 7.1 release, is able to deliver over 8x higher performance per node. As a result, the multi-threaded data node extensions not only serve to increase performance of MySQL Cluster, they also enable users to achieve significantly improved levels of utilization from current and future generations of massively multi-core, multi-thread processor designs.

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  • Rockmelt, the technology adoption model, and Facebook's spare internet

    - by Roger Hart
    Regardless of how good it is, you'd have to have a heart of stone not to make snide remarks about Rockmelt. After all, on the surface it looks a lot like some people spent two years building a browser instead of just bashing out a Chrome extension over a wet weekend. It probably does some more stuff. I don't know for sure because artificial scarcity is cool, apparently, so the "invitation" is still in the post*. I may in fact never know for sure, because I'm not wild about Facebook sign-in as a prerequisite for anything. From the video, and some initial reviews, my early reaction was: I have a browser, I have a Twitter client; what on earth is this for? The answer, of course, is "not me". Rockmelt is, in a way, quite audacious. Oh, sure, on launch day it's Bay Area bar-chat for the kids with no lenses in their retro specs and trousers that give you deep-vein thrombosis, but it's not really about them. Likewise,  Facebook just launched Google Wave, or something. And all the tech snobbery and scorn packed into describing it that way is irrelevant next to what they're doing with their platform. Here's something I drew in MS Paint** because I don't want to get sued: (see: The technology adoption lifecycle) A while ago in the Guardian, John Lanchester dusted off the idiom that "technology is stuff that doesn't work yet". The rest of the article would be quite interesting if it wasn't largely about MySpace, and he's sort of got a point. If you bolt on the sentiment that risk-averse businessmen like things that work, you've got the essence of Crossing the Chasm. Products for the mainstream market don't look much like technology. Think for  a second about early (1980s ish) hi-fi systems, with all the knobs and fiddly bits, their ostentatious technophile aesthetic. Then consider their sleeker and less (or at least less conspicuously) functional successors in the 1990s. The theory goes that innovators and early adopters like technology, it's a hobby in itself. The rest of the humans seem to like magic boxes with very few buttons that make stuff happen and never trouble them about why. Personally, I consider Apple's maddening insistence that iTunes is an acceptable way to move files around to be more or less morally unacceptable. Most people couldn't care less. Hence Rockmelt, and hence Facebook's continued growth. Rockmelt looks pointless to me, because I aggregate my social gubbins with Digsby, or use TweetDeck. But my use case is different and so are my enthusiasms. If I want to share photos, I'll use Flickr - but Facebook has photo sharing. If I want a short broadcast message, I'll use Twitter - Facebook has status updates. If I want to sell something with relatively little hassle, there's eBay - or Facebook marketplace. YouTube - check, FB Video. Email - messaging. Calendaring apps, yeah there are loads, or FB Events. What if I want to host a simple web page? Sure, they've got pages. Also Notes for blogging, and more games than I can count. This stuff is right there, where millions and millions of users are already, and for what they need it just works. It's not about me, because I'm not in the big juicy area under the curve. It's what 1990s portal sites could never have dreamed of achieving. Facebook is AOL on speed, crack, and some designer drugs it had specially imported from the future. It's a n00b-friendly gateway to the internet that just happens to serve up all the things you want to do online, right where you are. Oh, and everybody else is there too. The price of having all this and the social graph too is that you have all of this, and the social graph too. But plenty of folks have more incisive things to say than me about the whole privacy shebang, and it's not really what I'm talking about. Facebook is maintaining a vast, and fairly fully-featured training-wheels internet. And it makes up a large proportion of the online experience for a lot of people***. It's the entire web (2.0?) experience for the early and late majority. And sure, no individual bit of it is quite as slick or as fully-realised as something like Flickr (which wows me a bit every time I use it. Those guys are good at the web), but it doesn't have to be. It has to be unobtrusively good enough for the regular humans. It has to not feel like technology. This is what Rockmelt sort of is. You're online, you want something nebulously social, and you don't want to faff about with, say, Twitter clients. Wow! There it is on a really distracting sidebar, right in your browser. No effort! Yeah - fish nor fowl, much? It might work, I guess. There may be a demographic who want their social web experience more simply than tech tinkering, and who aren't just getting it from Facebook (or, for that matter, mobile devices). But I'd be surprised. Rockmelt feels like an attempt to grab a slice of Facebook-style "Look! It's right here, where you already are!", but it's still asking the mature market to install a new browser. Presumably this is where that Facebook sign-in predicate comes in handy, though it'll take some potent awareness marketing to make it fly. Meanwhile, Facebook quietly has the entire rest of the internet as a product management resource, and can continue to give most of the people most of what they want. Something that has not gone un-noticed in its potential to look a little sinister. But heck, they might even make Google Wave popular.     *This was true last week when I drafted this post. I got an invite subsequently, hence the screenshot. **MS Paint is no fun any more. It's actually good in Windows 7. Farewell ironically-shonky diagrams. *** It's also behind a single sign-in, lending a veneer of confidence, and partially solving the problem of usernames being crummy unique identifiers. I'll be blogging about that at some point.

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  • dependency analysis from C# code thru to database tables/columns

    - by fpdave
    I'm looking for a tool to do system wide dependency analysis in C# code and SQL-Server databases. Its looking like the only tool available that does this might be CAST (cast software), which is expensive and it does lots more besides that I dont really need. c# code thru to database column dependency would be hugely useful for many reasons, including: - determining effects of database changes throughout the system - seeing hot spots in the database schema - finding dead stored procedures/tables/etc - understanding the existing code base does anyone know of any such tools?

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  • COLUMNS_UPDATED() for audit triggers

    - by Piotr Rodak
    In SQL Server 2005, triggers are pretty much the only option if you want to audit changes to a table. There are many ways you can decide to store the change information. You may decide to store every changed row as a whole, either in a history table or as xml in audit table. The former case requires having a history table with exactly same schema as the audited table, the latter makes data retrieval and management of the table a bit tricky. Both approaches also suffer from the tendency to consume...(read more)

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  • OracleServiceBus+SOA in same server

    - by Manoj Neelapu
    Oracle Service Bus 11gR1 (11.1.1.3) supports running in same JVM as SOA. This tutorial covers on how to do create domain in of SOA+OSB combined to run in single JVM .For this tutorial we will use a flavor  WebLogic installer bundled with both OEPE and coherence components (eg oepe111150_wls1033_win32.exe). WebLogic installer bundled with coherence and OEPE components can be seen in the screen shot.Oracle Service Bus 11gR1 (11.1.1.3) has built-in caching support for Business Services using coherence. Because of this we will have to install coherence before  installing OSB.  To get SOAand OSB running in the same domain, we have to install the SOA and OSB on the above ORACLE_HOME. After installation we should see both the SOA and OSB homes has highlighted in red.We could also see the coherence components which is mandatory for OSB and optional OEPE also installed.                     Now we will execute RCU(ofm_rcu_win_11.1.1.3.0_disk1_1of1) to install the schema for SOA and OSB. New RCU contains OSB tables (WLI_QS_REPORT_DATA , WLI_QS_REPORT_ATTRIBUTE) gets loaded as part of SOAINFRA schema  After this step we will have to create soa+osb domain using config wizard. It is located under $WEBLOGIC_HOME\common\bin\config.* (.cmd or .sh as per your platform) .While creating a domain we will select options for SOA Suite  and Oracle Service Bus Extension-All Domain Topologies.We can also bundle Enterprise Manager in the same installation or in a different server. Here in this case we will use the enterprise manager in the same domain. So we selected the Enterprise Manager component also. There is another option for OSB  Oracle Service Bus Extension-Single server Domain Topology. This topology is for users who want to use OSB in single server configuration. Currently SOA doesn't support single server topology. So this topology cannot be used with SOA domain but can only be used for stand alone OSB installations.We can continue with domain configuration till we reach the below screen. Following steps are mandatory if we want to have the SOA and OSB run in same JVMwe should select Managed Server, Clusters and Machines as shown below   After this selection you should see a screen with two servers One managed server for OSB and one managed for SOA.  Since we would like to have both the servers in one managed server (one JVM) we will have to do one  

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  • Poll Results: Foreign Key Constraints

    - by Darren Gosbell
    A few weeks ago I did the following post asking people – if they used foreign key constraints in their star schemas. The poll is still open if you are interested in adding to it, but here is what the chart looks like as of today. (at the bottom of the poll itself there is a link to the live results, unfortunately I cannot link the live results in here as the blogging platform blocks the required javascript)   Interestingly the results are fairly even. Of the 78 respondents, fractionally over half at least aim to start with referential integrity in their star schemas. I did not want to influence the results by sharing my opinion, but my personal preference is to always aim to have foreign key constraints. But at the same time, I am pragmatic about it, I do have projects where for various reasons some constraints are not defined. And I also have other designs that I have inherited, where it would just be too much work to go back and add foreign key constraints. If you are going to implement foreign keys in your star schema, they really need to be there at the start. In fact this poll was was the result of a feature request for BIDSHelper asking for a feature to check for null/missing foreign keys and I am entirely convinced that BIDS is the wrong place for this sort of functionality. BIDS is a design tool, your data needs to be constantly checked for consistency. It's not that I think that it's impossible to get a design working without foreign key constraints, but I like the idea of failing as soon as possible if there is an error and enforcing foreign key constraints lets me "fail early" if there are constancy issues with my data. By far the biggest concern with foreign keys is performance and I suppose I'm curious as to how often people actually measure and quantify this. I worked on a project a number of years ago that had very large data volumes and we did find that foreign key constraints did have a measurable impact, but what we did was to disable the constraints before loading the data, then enabled and checked them afterwards. This saved as time (although not as much as not having constraints at all), but still let us know early in the process if there were any consistency issues. For the people that do not have consistent data, if you have ETL processes that you control that are building your star schema which you also control, then to be blunt you only have yourself to blame. It is the job of the ETL process to make the data consistent. There are techniques for handling situations like missing data as well as  early and late arriving data. Ralph Kimball's book – The Data Warehouse Toolkit goes through some design patterns for handling data consistency. Having foreign key relationships can also help the relational engine to optimize queries as noted in this recent blog post by Boyan Penev

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  • SOA+OSB in same JVM

    - by Manoj Neelapu
    Oracle Service Bus 11gR1 (11.1.1.3) supports running in same JVM as SOA. This tutorial covers on how to do create domain in of SOA+OSB combined to run in single JVM . For this tutorial we will use a flavor  WebLogic installer bundled with both OEPE and coherence components (eg oepe111150_wls1033_win32.exe). WebLogic installer bundled with coherence and OEPE components can be seen in the screen shot.Oracle Service Bus 11gR1 (11.1.1.3) has built-in caching support for Business Services using coherence. Because of this we will have to install coherence before  installing OSB.  To get soa and osb running in the same domain, we have to install the SOA and OSB on the above ORACLE_HOME. After installation we should see both the SOA and OSB homes has highlighted in red.We could also see the coherence components which is mandatory for OSB and optional OEPE also installed.Now we will execute RCU(ofm_rcu_win_11.1.1.3.0_disk1_1of1) to install the schema for SOA and OSB. New RCU contains OSB tables (WLI_QS_REPORT_DATA , WLI_QS_REPORT_ATTRIBUTE) gets loaded as part of SOAINFRA schema After this step we will have to create soa+osb domain using config wizard. It is located under $WEBLOGIC_HOME\common\bin\config.* (.cmd or .sh as per your platform) .While creating a domain we will select options for SOA Suite  and Oracle Service Bus Extension-All Domain Topologies.There is another option for OSB  Oracle Service Bus Extension-Single server Domain Topology. This topology is for users who want to use OSB in single server configuration. Currently SOA doesn't support single server topology. So this topology cannot be used with SOA domain but can only be used for stand alone OSB installations.We can continue with domain configuration till we reach the below screen. Following steps are mandatory if we want to have the SOA and OSB run in same JVMwe should select Managed Server, Clusters and Machines as shown below After this selection you should see a screen with two servers One managed server for OSB and one managed for SOA. Since we would like to have both the servers in one managed server (one JVM) we will have to do one important step here. We have to delete either of the servers and rename the other server with deleted server name.eg delete osb_server1 and rename the soa_server1 to osb_server1 or we can also delete soa_server1 and rename the osb_server1 to soa_server1After this steps proceed as as-usual . If we observe created domain we see only one managed server which contains components for both SOA and OSB ($DOMAIN_HOME/startManagedWebLogic_readme.txt). 

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  • Using CTAS & Exchange Partition Replace IAS for Copying Partition on Exadata

    - by Bandari Huang
    Usage Scenario: Copy data&index from one partition to another partition in a partitioned table. Solution: Create a partition definition Copy data from one partition to another partiton by 'Insert as select (IAS)' Create a nonpartitioned table by 'Create table as select (CTAS)' Convert a nonpartitioned table into a partition of partitoned table by exchangng their data segments. Rebuild unusable index Exchange Partition Convertion Mutual convertion between a partition (or subpartition) and a nonpartitioned table Mutual convertion between a hash-partitioned table and a partition of a composite *-hash partitioned table Mutual convertiton a [range | list]-partitioned table into a partition of a composite *-[range | list] partitioned table. Exchange Partition Usage Scenario High-speed data loading of new, incremental data into an existing partitioned table in DW environment Exchanging old data partitions out of a partitioned table, the data is purged from the partitioned table without actually being deleted and can be archived separately Exchange Partition Syntax ALTER TABLE schema.table EXCHANGE [PARTITION|SUBPARTITION] [partition|subprtition] WITH TABLE schema.table [INCLUDE|EXCLUDING] INDEX [WITH|WITHOUT] VALIDATION UPDATE [INDEXES|GLOBAL INDEXES] INCLUDING | EXCLUDING INDEXES Specify INCLUDING INDEXES if you want local index partitions or subpartitions to be exchanged with the corresponding table index (for a nonpartitioned table) or local indexes (for a hash-partitioned table). Specify EXCLUDING INDEXES if you want all index partitions or subpartitions corresponding to the partition and all the regular indexes and index partitions on the exchanged table to be marked UNUSABLE. If you omit this clause, then the default is EXCLUDING INDEXES. WITH | WITHOUT VALIDATION Specify WITH VALIDATION if you want Oracle Database to return an error if any rows in the exchanged table do not map into partitions or subpartitions being exchanged. Specify WITHOUT VALIDATION if you do not want Oracle Database to check the proper mapping of rows in the exchanged table. If you omit this clause, then the default is WITH VALIDATION.  UPADATE INDEX|GLOBAL INDEX Unless you specify UPDATE INDEXES, the database marks UNUSABLE the global indexes or all global index partitions on the table whose partition is being exchanged. Global indexes or global index partitions on the table being exchanged remain invalidated. (You cannot use UPDATE INDEXES for index-organized tables. Use UPDATE GLOBAL INDEXES instead.) Exchanging Partitions&Subpartitions Notes Both tables involved in the exchange must have the same primary key, and no validated foreign keys can be referencing either of the tables unless the referenced table is empty.  When exchanging partitioned index-organized tables: – The source and target table or partition must have their primary key set on the same columns, in the same order. – If key compression is enabled, then it must be enabled for both the source and the target, and with the same prefix length. – Both the source and target must be index organized. – Both the source and target must have overflow segments, or neither can have overflow segments. Also, both the source and target must have mapping tables, or neither can have a mapping table. – Both the source and target must have identical storage attributes for any LOB columns. 

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  • The role of the Infrastructure DBA

    - by GavinPayneUK
    Do you have someone performing an Infrastructure DBA role within your organisation? Do you realise why today you now might need one? When I first started working with SQL Server there were three distinct roles in the SQL Server virtual team: developer , DBA and sysadmin . In my simple terms, the developer looked after the “code”: the schema, stored procedures, and any ETL to get data in, out or updated within the database. They could talk in business entity terms about Customer numbers, Product codes...(read more)

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  • Would you expect this error ?

    - by GrumpyOldDBA
    Now I know why, but what I'm thinking is that if I create an error should I get valid data returned? To explain, I was browsing through the dmvs for queries which might benefit from tuning and I identified a query with two clustered index scans ( table scans ). I don't know all the schema off by heart and I was looking for a select by a LoginID column. I assumed this would be numeric and promptly entered an integer value to examine the query plan, yeah I should have looked at the table definition...(read more)

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  • What strategy to use when starting in a new project with no documentation?

    - by Amir Rezaei
    Which is the best why to go when there are no documentation? For example how do you learn business rules? I have done the following steps: Since we are using a ORM tool I have printed a copy of database schema where I can see relations between objects. I have made a list of short names/table names that I will get explained. The project is client/server enterprise application using MVVM pattern.

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  • Building dynamic OLAP data marts on-the-fly

    - by DrJohn
    At the forthcoming SQLBits conference, I will be presenting a session on how to dynamically build an OLAP data mart on-the-fly. This blog entry is intended to clarify exactly what I mean by an OLAP data mart, why you may need to build them on-the-fly and finally outline the steps needed to build them dynamically. In subsequent blog entries, I will present exactly how to implement some of the techniques involved. What is an OLAP data mart? In data warehousing parlance, a data mart is a subset of the overall corporate data provided to business users to meet specific business needs. Of course, the term does not specify the technology involved, so I coined the term "OLAP data mart" to identify a subset of data which is delivered in the form of an OLAP cube which may be accompanied by the relational database upon which it was built. To clarify, the relational database is specifically create and loaded with the subset of data and then the OLAP cube is built and processed to make the data available to the end-users via standard OLAP client tools. Why build OLAP data marts? Market research companies sell data to their clients to make money. To gain competitive advantage, market research providers like to "add value" to their data by providing systems that enhance analytics, thereby allowing clients to make best use of the data. As such, OLAP cubes have become a standard way of delivering added value to clients. They can be built on-the-fly to hold specific data sets and meet particular needs and then hosted on a secure intranet site for remote access, or shipped to clients' own infrastructure for hosting. Even better, they support a wide range of different tools for analytical purposes, including the ever popular Microsoft Excel. Extension Attributes: The Challenge One of the key challenges in building multiple OLAP data marts based on the same 'template' is handling extension attributes. These are attributes that meet the client's specific reporting needs, but do not form part of the standard template. Now clearly, these extension attributes have to come into the system via additional files and ultimately be added to relational tables so they can end up in the OLAP cube. However, processing these files and filling dynamically altered tables with SSIS is a challenge as SSIS packages tend to break as soon as the database schema changes. There are two approaches to this: (1) dynamically build an SSIS package in memory to match the new database schema using C#, or (2) have the extension attributes provided as name/value pairs so the file's schema does not change and can easily be loaded using SSIS. The problem with the first approach is the complexity of writing an awful lot of complex C# code. The problem of the second approach is that name/value pairs are useless to an OLAP cube; so they have to be pivoted back into a proper relational table somewhere in the data load process WITHOUT breaking SSIS. How this can be done will be part of future blog entry. What is involved in building an OLAP data mart? There are a great many steps involved in building OLAP data marts on-the-fly. The key point is that all the steps must be automated to allow for the production of multiple OLAP data marts per day (i.e. many thousands, each with its own specific data set and attributes). Now most of these steps have a great deal in common with standard data warehouse practices. The key difference is that the databases are all built to order. The only permanent database is the metadata database (shown in orange) which holds all the metadata needed to build everything else (i.e. client orders, configuration information, connection strings, client specific requirements and attributes etc.). The staging database (shown in red) has a short life: it is built, populated and then ripped down as soon as the OLAP Data Mart has been populated. In the diagram below, the OLAP data mart comprises the two blue components: the Data Mart which is a relational database and the OLAP Cube which is an OLAP database implemented using Microsoft Analysis Services (SSAS). The client may receive just the OLAP cube or both components together depending on their reporting requirements.  So, in broad terms the steps required to fulfil a client order are as follows: Step 1: Prepare metadata Create a set of database names unique to the client's order Modify all package connection strings to be used by SSIS to point to new databases and file locations. Step 2: Create relational databases Create the staging and data mart relational databases using dynamic SQL and set the database recovery mode to SIMPLE as we do not need the overhead of logging anything Execute SQL scripts to build all database objects (tables, views, functions and stored procedures) in the two databases Step 3: Load staging database Use SSIS to load all data files into the staging database in a parallel operation Load extension files containing name/value pairs. These will provide client-specific attributes in the OLAP cube. Step 4: Load data mart relational database Load the data from staging into the data mart relational database, again in parallel where possible Allocate surrogate keys and use SSIS to perform surrogate key lookup during the load of fact tables Step 5: Load extension tables & attributes Pivot the extension attributes from their native name/value pairs into proper relational tables Add the extension attributes to the views used by OLAP cube Step 6: Deploy & Process OLAP cube Deploy the OLAP database directly to the server using a C# script task in SSIS Modify the connection string used by the OLAP cube to point to the data mart relational database Modify the cube structure to add the extension attributes to both the data source view and the relevant dimensions Remove any standard attributes that not required Process the OLAP cube Step 7: Backup and drop databases Drop staging database as it is no longer required Backup data mart relational and OLAP database and ship these to the client's infrastructure Drop data mart relational and OLAP database from the build server Mark order complete Start processing the next order, ad infinitum. So my future blog posts and my forthcoming session at the SQLBits conference will all focus on some of the more interesting aspects of building OLAP data marts on-the-fly such as handling the load of extension attributes and how to dynamically alter the structure of an OLAP cube using C#.

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  • Nashorn, the rhino in the room

    - by costlow
    Nashorn is a new runtime within JDK 8 that allows developers to run code written in JavaScript and call back and forth with Java. One advantage to the Nashorn scripting engine is that is allows for quick prototyping of functionality or basic shell scripts that use Java libraries. The previous JavaScript runtime, named Rhino, was introduced in JDK 6 (released 2006, end of public updates Feb 2013). Keeping tradition amongst the global developer community, "Nashorn" is the German word for rhino. The Java platform and runtime is an intentional home to many languages beyond the Java language itself. OpenJDK’s Da Vinci Machine helps coordinate work amongst language developers and tool designers and has helped different languages by introducing the Invoke Dynamic instruction in Java 7 (2011), which resulted in two major benefits: speeding up execution of dynamic code, and providing the groundwork for Java 8’s lambda executions. Many of these improvements are discussed at the JVM Language Summit, where language and tool designers get together to discuss experiences and issues related to building these complex components. There are a number of benefits to running JavaScript applications on JDK 8’s Nashorn technology beyond writing scripts quickly: Interoperability with Java and JavaScript libraries. Scripts do not need to be compiled. Fast execution and multi-threading of JavaScript running in Java’s JRE. The ability to remotely debug applications using an IDE like NetBeans, Eclipse, or IntelliJ (instructions on the Nashorn blog). Automatic integration with Java monitoring tools, such as performance, health, and SIEM. In the remainder of this blog post, I will explain how to use Nashorn and the benefit from those features. Nashorn execution environment The Nashorn scripting engine is included in all versions of Java SE 8, both the JDK and the JRE. Unlike Java code, scripts written in nashorn are interpreted and do not need to be compiled before execution. Developers and users can access it in two ways: Users running JavaScript applications can call the binary directly:jre8/bin/jjs This mechanism can also be used in shell scripts by specifying a shebang like #!/usr/bin/jjs Developers can use the API and obtain a ScriptEngine through:ScriptEngine engine = new ScriptEngineManager().getEngineByName("nashorn"); When using a ScriptEngine, please understand that they execute code. Avoid running untrusted scripts or passing in untrusted/unvalidated inputs. During compilation, consider isolating access to the ScriptEngine and using Type Annotations to only allow @Untainted String arguments. One noteworthy difference between JavaScript executed in or outside of a web browser is that certain objects will not be available. For example when run outside a browser, there is no access to a document object or DOM tree. Other than that, all syntax, semantics, and capabilities are present. Examples of Java and JavaScript The Nashorn script engine allows developers of all experience levels the ability to write and run code that takes advantage of both languages. The specific dialect is ECMAScript 5.1 as identified by the User Guide and its standards definition through ECMA international. In addition to the example below, Benjamin Winterberg has a very well written Java 8 Nashorn Tutorial that provides a large number of code samples in both languages. Basic Operations A basic Hello World application written to run on Nashorn would look like this: #!/usr/bin/jjs print("Hello World"); The first line is a standard script indication, so that Linux or Unix systems can run the script through Nashorn. On Windows where scripts are not as common, you would run the script like: jjs helloWorld.js. Receiving Arguments In order to receive program arguments your jjs invocation needs to use the -scripting flag and a double-dash to separate which arguments are for jjs and which are for the script itself:jjs -scripting print.js -- "This will print" #!/usr/bin/jjs var whatYouSaid = $ARG.length==0 ? "You did not say anything" : $ARG[0] print(whatYouSaid); Interoperability with Java libraries (including 3rd party dependencies) Another goal of Nashorn was to allow for quick scriptable prototypes, allowing access into Java types and any libraries. Resources operate in the context of the script (either in-line with the script or as separate threads) so if you open network sockets and your script terminates, those sockets will be released and available for your next run. Your code can access Java types the same as regular Java classes. The “import statements” are written somewhat differently to accommodate for language. There is a choice of two styles: For standard classes, just name the class: var ServerSocket = java.net.ServerSocket For arrays or other items, use Java.type: var ByteArray = Java.type("byte[]")You could technically do this for all. The same technique will allow your script to use Java types from any library or 3rd party component and quickly prototype items. Building a user interface One major difference between JavaScript inside and outside of a web browser is the availability of a DOM object for rendering views. When run outside of the browser, JavaScript has full control to construct the entire user interface with pre-fabricated UI controls, charts, or components. The example below is a variation from the Nashorn and JavaFX guide to show how items work together. Nashorn has a -fx flag to make the user interface components available. With the example script below, just specify: jjs -fx -scripting fx.js -- "My title" #!/usr/bin/jjs -fx var Button = javafx.scene.control.Button; var StackPane = javafx.scene.layout.StackPane; var Scene = javafx.scene.Scene; var clickCounter=0; $STAGE.title = $ARG.length>0 ? $ARG[0] : "You didn't provide a title"; var button = new Button(); button.text = "Say 'Hello World'"; button.onAction = myFunctionForButtonClicking; var root = new StackPane(); root.children.add(button); $STAGE.scene = new Scene(root, 300, 250); $STAGE.show(); function myFunctionForButtonClicking(){   var text = "Click Counter: " + clickCounter;   button.setText(text);   clickCounter++;   print(text); } For a more advanced post on using Nashorn to build a high-performing UI, see JavaFX with Nashorn Canvas example. Interoperable with frameworks like Node, Backbone, or Facebook React The major benefit of any language is the interoperability gained by people and systems that can read, write, and use it for interactions. Because Nashorn is built for the ECMAScript specification, developers familiar with JavaScript frameworks can write their code and then have system administrators deploy and monitor the applications the same as any other Java application. A number of projects are also running Node applications on Nashorn through Project Avatar and the supported modules. In addition to the previously mentioned Nashorn tutorial, Benjamin has also written a post about Using Backbone.js with Nashorn. To show the multi-language power of the Java Runtime, there is another interesting example that unites Facebook React and Clojure on JDK 8’s Nashorn. Summary Nashorn provides a simple and fast way of executing JavaScript applications and bridging between the best of each language. By making the full range of Java libraries to JavaScript applications, and the quick prototyping style of JavaScript to Java applications, developers are free to work as they see fit. Software Architects and System Administrators can take advantage of one runtime and leverage any work that they have done to tune, monitor, and certify their systems. Additional information is available within: The Nashorn Users’ Guide Java Magazine’s article "Next Generation JavaScript Engine for the JVM." The Nashorn team’s primary blog or a very helpful collection of Nashorn links.

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  • Tips On Using The Service Contracts Import Program

    - by LuciaC
    Prior to release 12.1 there was no supported way to import contracts into the EBS Service Contracts application - there were no public APIs nor contract load programs provided.  From release 12.1 onwards the 'Service Contracts Import Program' is provided to load service contracts into the application. The Service Contracts Import functionality is explained in How to Use the Service Contracts Import Program - Scope and Limitations (Doc ID 1057242.1).  This note includes an attached document which explains the program architecture, shows the Entity Relationship Diagram and details the interface table definitions. The Import program takes data from the interface tables listed below and populates the contracts schema tables:  OKS_USAGE_COUNTERS_INTERFACE OKS_SALES_CREDITS_INTERFACEOKS_NOTES_INTERFACEOKS_LINES_INTERFACEOKS_HEADERS_INTERFACEOKS_COVERED_LEVELS_INTERFACEThese interface tables must be loaded via a custom load program.The Service Contracts Import concurrent request is then submitted to create contracts from this legacy data. The parameters to run the Import program are:  Parameter Description  Mode Validate only, Import  Batch Number Batch_Id (unique id populated into the OKS_HEADERS_INTERFACE table)  Number of Workers Number of workers required (these are spawned as separate sub-requests)  Commit size Represents number of successfully processed contracts commited to database The program spawns sub-requests for the import worker(s) and the 'Service Contracts Import Report'.  The data is validated prior to import and into the Contracts tables and will report errors in the Service Contracts Import Report program output file (Import Execution Report).  Troubleshooting tips are provided in R12.1 - Common Service Contract Import Errors (Doc ID 762545.1); this document lists some, but not all, import errors.  The document will be updated over time.  Additional help is given in Debugging Tip for Service Contracts Import Errors (Doc ID 971426.1).After you successfully import contracts, you can purge the records from the interface tables by running the Service Contracts Import Purge concurrent program. Note that there is no supported way to mass delete data from the Contracts schema tables once they are populated, so data loaded by the Import program must be fully tested and verified before the program is run to load data into a Production system.A Service Contracts Import Test program has been provided which will take an existing contract in the application and load the interface tables using the data from that contract.  This can be used as an example for guidance on how to load the interface tables.  The Test program functionality is explained in How to Use the Service Contracts Test Import Program Provided in Release 12.1 (Doc ID 761209.1).  Note that the Test program has some limitations which do not apply to the full Import program and is not a supported program, it is simply a testing tool.  

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  • What more a Business Service can do?

    - by Rajesh Sharma
    Business services can be accessed from outside the application via XAI inbound service, or from within the application via scripting, Java, or info zones. Below is an example to what you can do with a business service wrapping an info zone.   Generally, a business service is specific to a page service program which references a maintenance object, that means one business service = one service program = one maintenance object. There have been quite a few threads in the forum around this topic where the business service is misconstrued to perform services only on a single object, for e.g. only for CILCSVAP - SA Page Maintenance, CILCPRMP - Premise Page Maintenance, CILCACCP - Account Page Maintenance, etc.   So what do you do when you want to retrieve some "non-persistent" field or information associated with some object/entity? Consider few business requirements: ·         Retrieve all the field activities associated to an account. ·         Retrieve the last bill date for an account. ·         Retrieve next bill date for an account.   It can be as simple as described below, for this post, we'll use the first scenario - Retrieve all the field activities associated to an account. To achieve this we'll have to do the following:   Step 1: Define an info zone   (A basic Zone of type F1-DE-SINGLE - Info Data Explorer - Single SQL has been used; you can use F1-DE - Info Data Explorer - Multiple SQLs for more complex scenarios)   Parameter Description Value To Enter User Filter 1 F1 Initial Display Columns C1 C2 C3 SQL Condition F1 SQL Statement SELECT     FA_ID, FA_STATUS_FLG, CRE_DTTM FROM     CI_FA WHERE     SP_ID IN         (SELECT SP_ID         FROM CI_SA_SP         WHERE             SA_ID IN                 (SELECT SA_ID                  FROM CI_SA                  WHERE                     ACCT_ID = :F1)) Column 1 source=SQLCOL sqlcol=FA_ID Column 2 source=SQLCOL sqlcol=FA_STATUS_FLG Column 3 type=TIME source=SQLCOL sqlcol=CRE_DTTM order=DESC   Note: Zone code specified was 'CM_ACCTFA'   Step 2: Define a business service Create a business service linked to 'Service Name' FWLZDEXP - Data Explorer. Schema will look like this:   <schema> <zoneCd mapField="ZONE_CD" default="CM_ACCTFA"/>      <accountId mapField="F1_VALUE"/>      <rowCount mapField="ROW_CNT"/>      <result type="group">         <selectList type="list" mapList="DE">             <faId mapField="COL_VALUE">                 <row mapList="DE_VAL">                     <SEQNO is="1"/>                 </row>             </faId>              <status mapField="COL_VALUE">                 <row mapList="DE_VAL">                     <SEQNO is="2"/>                 </row>             </status>              <createdDateTime mapField="COL_VALUE">                 <row mapList="DE_VAL">                     <SEQNO is="3"/>                 </row>             </createdDateTime>         </selectList>     </result> </schema>      What's next? As mentioned above, you can invoke this business service from an outside application via XAI inbound service or call this business service from within a script.   Step 3: Create a XAI inbound service for above created business service         Step 4: Test the inbound service   Go to XAI Submission and test the newly created service   <RXS_AccountFA>       <accountId>5922116763</accountId> </RXS_AccountFA>  

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  • Configurable Objects - Introduction

    - by Anthony Shorten
    One of the interesting facilities in the framework is Configurable Object functionality (it is also known as Task Optimization and also known as Cool Tools). The idea is that any implementation can create their own views of the base product objects and services and implement functionality against those new views. For example, in Oracle Utilities Customer Care and Billing, there is a Person object. That object is used to store and manage information about individuals as well as companies. In the base product you would use the Person Maintenance screen and fill in some of the screen when you wanted to register or maintain and individual as well and fill out other parts of the screen when you wanted to register or maintain a company. This can be somewhat confusing to some customers. Using Configurable Objects this can be simplified. A business object can be created that is a view of the any object. For example, you could create a Human business object which would cover the aspects of the Person object pertaining to an individual and a Company business object to cover the aspects unique to a company. Even the tag names (i.e. Field Names) in the object can be changed to be more what the implementation is familiar with. The object can also restructure the object. For example, a common identifier for an individual in the USA is the Social Security number, this value is a Person Identifier (as this varies in each country). In the new Human object you can remap the Person Identifier as a Social Security number. To define a Business Object you use a schema editor built into the browser user interface and use a mapping language to setup the business objects. An example of the language is shown below in an extract of the schema for the Human business object. As you can see there are mapping as well as formatting and other tags. This information can be built manually or using a wizard which generates the base structure for you to alter. This is all stored as meta data when saved. Once a Business object is built it can be used as basis for code, other business objects (we support inheritance), called by a screen (called a UI Map) or even as a Web Service. This is just a start with Configurable Objects as you can also create views of base services called Business Services, Service Scripts used for non-object or complex object processing (as well as other things), UI Maps used for screens and Data Areas to reuse definitions across multiple objects. Configurable Objects are powerful and I only really touched on them here. Over the next few months I hope to add lots more entries about them.

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  • Inheritance Mapping Strategies with Entity Framework Code First CTP5: Part 2 – Table per Type (TPT)

    - by mortezam
    In the previous blog post you saw that there are three different approaches to representing an inheritance hierarchy and I explained Table per Hierarchy (TPH) as the default mapping strategy in EF Code First. We argued that the disadvantages of TPH may be too serious for our design since it results in denormalized schemas that can become a major burden in the long run. In today’s blog post we are going to learn about Table per Type (TPT) as another inheritance mapping strategy and we'll see that TPT doesn’t expose us to this problem. Table per Type (TPT)Table per Type is about representing inheritance relationships as relational foreign key associations. Every class/subclass that declares persistent properties—including abstract classes—has its own table. The table for subclasses contains columns only for each noninherited property (each property declared by the subclass itself) along with a primary key that is also a foreign key of the base class table. This approach is shown in the following figure: For example, if an instance of the CreditCard subclass is made persistent, the values of properties declared by the BillingDetail base class are persisted to a new row of the BillingDetails table. Only the values of properties declared by the subclass (i.e. CreditCard) are persisted to a new row of the CreditCards table. The two rows are linked together by their shared primary key value. Later, the subclass instance may be retrieved from the database by joining the subclass table with the base class table. TPT Advantages The primary advantage of this strategy is that the SQL schema is normalized. In addition, schema evolution is straightforward (modifying the base class or adding a new subclass is just a matter of modify/add one table). Integrity constraint definition are also straightforward (note how CardType in CreditCards table is now a non-nullable column). Another much more important advantage is the ability to handle polymorphic associations (a polymorphic association is an association to a base class, hence to all classes in the hierarchy with dynamic resolution of the concrete class at runtime). A polymorphic association to a particular subclass may be represented as a foreign key referencing the table of that particular subclass. Implement TPT in EF Code First We can create a TPT mapping simply by placing Table attribute on the subclasses to specify the mapped table name (Table attribute is a new data annotation and has been added to System.ComponentModel.DataAnnotations namespace in CTP5): public abstract class BillingDetail {     public int BillingDetailId { get; set; }     public string Owner { get; set; }     public string Number { get; set; } } [Table("BankAccounts")] public class BankAccount : BillingDetail {     public string BankName { get; set; }     public string Swift { get; set; } } [Table("CreditCards")] public class CreditCard : BillingDetail {     public int CardType { get; set; }     public string ExpiryMonth { get; set; }     public string ExpiryYear { get; set; } } public class InheritanceMappingContext : DbContext {     public DbSet<BillingDetail> BillingDetails { get; set; } } If you prefer fluent API, then you can create a TPT mapping by using ToTable() method: protected override void OnModelCreating(ModelBuilder modelBuilder) {     modelBuilder.Entity<BankAccount>().ToTable("BankAccounts");     modelBuilder.Entity<CreditCard>().ToTable("CreditCards"); } Generated SQL For QueriesLet’s take an example of a simple non-polymorphic query that returns a list of all the BankAccounts: var query = from b in context.BillingDetails.OfType<BankAccount>() select b; Executing this query (by invoking ToList() method) results in the following SQL statements being sent to the database (on the bottom, you can also see the result of executing the generated query in SQL Server Management Studio): Now, let’s take an example of a very simple polymorphic query that requests all the BillingDetails which includes both BankAccount and CreditCard types: projects some properties out of the base class BillingDetail, without querying for anything from any of the subclasses: var query = from b in context.BillingDetails             select new { b.BillingDetailId, b.Number, b.Owner }; -- var query = from b in context.BillingDetails select b; This LINQ query seems even more simple than the previous one but the resulting SQL query is not as simple as you might expect: -- As you can see, EF Code First relies on an INNER JOIN to detect the existence (or absence) of rows in the subclass tables CreditCards and BankAccounts so it can determine the concrete subclass for a particular row of the BillingDetails table. Also the SQL CASE statements that you see in the beginning of the query is just to ensure columns that are irrelevant for a particular row have NULL values in the returning flattened table. (e.g. BankName for a row that represents a CreditCard type) TPT ConsiderationsEven though this mapping strategy is deceptively simple, the experience shows that performance can be unacceptable for complex class hierarchies because queries always require a join across many tables. In addition, this mapping strategy is more difficult to implement by hand— even ad-hoc reporting is more complex. This is an important consideration if you plan to use handwritten SQL in your application (For ad hoc reporting, database views provide a way to offset the complexity of the TPT strategy. A view may be used to transform the table-per-type model into the much simpler table-per-hierarchy model.) SummaryIn this post we learned about Table per Type as the second inheritance mapping in our series. So far, the strategies we’ve discussed require extra consideration with regard to the SQL schema (e.g. in TPT, foreign keys are needed). This situation changes with the Table per Concrete Type (TPC) that we will discuss in the next post. References ADO.NET team blog Java Persistence with Hibernate book a { text-decoration: none; } a:visited { color: Blue; } .title { padding-bottom: 5px; font-family: Segoe UI; font-size: 11pt; font-weight: bold; padding-top: 15px; } .code, .typeName { font-family: consolas; } .typeName { color: #2b91af; } .padTop5 { padding-top: 5px; } .padTop10 { padding-top: 10px; } p.MsoNormal { margin-top: 0in; margin-right: 0in; margin-bottom: 10.0pt; margin-left: 0in; line-height: 115%; font-size: 11.0pt; font-family: "Calibri" , "sans-serif"; }

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  • SQL Server XML Schemas

    - by Dave Ballantyne
    Ever been curious about the schema of , say an SSRS rdl file ?  How about the execution plan ? Not only should you already have the .XSD files , check out the folder ‘Microsoft SQL Server\100\Tools\Binn\schemas\sqlserver’ , but they are also available online here. 

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  • Just when you thought it was safe..........

    - by GrumpyOldDBA
    One of my duties is to handle software releases to our Production system, as is my want I always run my eye down any schema changes, this new object stood out for a number of reasons. I may add this to my interview questions: SET ANSI_NULLS ON SET QUOTED_IDENTIFIER ON GO IF NOT EXISTS ( SELECT 1 FROM INFORMATION_SCHEMA.TABLES WHERE TABLE_SCHEMA= 'dbo' AND TABLE_NAME= 'MSPaymentForExtraction' ) BEGIN CREATE TABLE [dbo].[MSPaymentForExtraction]([MSPaymentID] [ int ] NOT NULL IDENTITY...(read more)

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  • Google doesn't always show rich snippets when the site uses structured data [duplicate]

    - by Sam Se
    This question is an exact duplicate of: Google Structured Data [on hold] 1 answer I'm so tired of the Google structured data recipe. After some days, it loses the image and the extra information. Then I test it again, and it shows again. Some other days in the future it might go away even if it is still showing in test tool. What i can do? I tried with RDFa and schema.org microdata.

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  • Spacewalk 2.0 provided to manage Oracle Linux systems

    - by wcoekaer
    Oracle Linux customers have a few options to manage and provision their servers. We provide a license to use Oracle Enterprise Manager's Linux OS management, monitoring and provisioning features without additional cost for every server that has an Oracle Linux support subscription. So there is no additional pack to license and no additional per server cost, it's all included in our Basic, Premier and Systems support subscriptions. The nice thing with Oracle Enterprise Manager is that you end up with a single management product that can manage all aspects of your software stack. You have complete insight into the applications running, you have roles and responsibilities, you have third party connectors for storage or other products and it makes it very easy and convenient to correlate data and events when something happens. If you use Oracle VM as well, you end up with a complete cloud portal with selfservice, chargeback, etc... Another, much simpler option, is just using yum. It is very easy to take a server and create directories and expose these through apache as repositories. You can have a simple yum config on each server pointing to a few specific repositories. It requires some manual effort in terms of creating directories, downloading packages and creating local repo files but it's easy to do and for many people a preferred solution. There are also a good number of customers that just connect their servers directly to ULN or to our free update server public-yum. Just to re-iterate, our public-yum servers have all the errata and updates available for free. Now we added another option. Many of our customers have switched from a competing Linux vendor and they had familiarity with their management tools. Switching to Oracle for support is very easy since we don't require changes to the installed servers but we also want to make sure there is a very easy and almost transparent switch for the management tools as well. While Oracle Enterprise Manager is our preferred way of managing systems, we now are offering Spacewalk 2.0 to our customers. The community project can be found here. We have made a few changes to ensure easy and complete support for Oracle Linux, tested it with public-yum, etc.. You can find the rpms in our public-yum repos at http://public-yum.oracle.com/repo/OracleLinux/OL6/. There are repositories for spacewalk server and then for each version (OL5,OL6) and architecture (x86 and x86-64) we have the client repositories as well. Spacewalk itself is only made available for OL6 x86-64. Documentation can be found here. I set it up myself and here are some quick steps on how you can get going in just a matter of minutes: Spacewalk Server Installation : 1) Installing an Oracle Database Use an existing Oracle Database or install a new Oracle Database (Standard or Enterprise Edition) [at this time use 11g, we will add support for 12c in the near future]. This database can be installed on the spacewalk server or on a separate remote server. While Oracle XE might work to create a small sample POC, we do not support the use of Oracle XE, spacewalk repositories can become large and create a significant database workload. Customers can use their existing database licenses, they can download the database with a trial licence from http://edelivery.oracle.com or Oracle Linux subscribers (customers) will be allowed to use the Oracle Database as a spacewalk repository as part of their Oracle Linux subscription at no additional cost. |NOTE : spacewalk requires the database to be configured with the UTF8 characterset. |Installation will fail if your database does not use UTF8. |To verify if your database is configured correctly, run the following command in sqlplus: | |select value from nls_database_parameters where parameter='NLS_CHARACTERSET'; |This should return 'AL32UTF8' 2) Configure the database schema for spacewalk Ideally, create a tablespace in the database to hold the spacewalk schema tables/data; create tablespace spacewalk datafile '/u01/app/oracle/oradata/orcl/spacewalk.dbf' size 10G autoextend on; Create the database user spacewalk (or use some other schema name) in sqlplus. example : create user spacewalk identified by spacewalk; grant connect, resource to spacewalk; grant create table, create trigger, create synonym, create view, alter session to spacewalk; grant unlimited tablespace to spacewalk; alter user spacewalk default tablespace spacewalk; 4) Spacewalk installation and configuration Spacewalk server requires an Oracle Linux 6 x86-64 system. Clients can be Oracle Linux 5 or 6, both 32- and 64bit. The server is only supported on OL6/64bit. The easiest way to get started is to do a 'Minimal' install of Oracle Linux on a server and configure the yum repository to include the spacewalk repo from public-yum. Once you have a system with a minimal install, modify your yum repo to include the spacewalk repo. Example : edit /etc/yum.repos.d/public-yum-ol.repo and add the following lines at the end of the file : [spacewalk] name=spacewalk baseurl=http://public-yum.oracle.com/repo/OracleLinux/OL6/spacewalk20/server/$basearch/ gpgkey=http://public-yum.oracle.com/RPM-GPG-KEY-oracle-ol6 gpgcheck=1 enabled=1 Install the following pre-requisite packages on your spacewalk server : oracle-instantclient11.2-basic-11.2.0.3.0-1.x86_64 oracle-instantclient11.2-sqlplus-11.2.0.3.0-1.x86_64 rpm -ivh oracle-instantclient11.2-basic-11.2.0.3.0-1.x86_64 rpm -ivh oracle-instantclient11.2-sqlplus-11.2.0.3.0-1.x86_64 The above RPMs can be found on the Oracle Technology Network website : http://www.oracle.com/technetwork/topics/linuxx86-64soft-092277.html As the root user, configure the library path to include the Oracle Instant Client libraries : cd /etc/ld.so.conf.d echo /usr/lib/oracle/11.2/client64/lib oracle-instantclient11.2.conf ldconfig Install spacewalk : # yum install spacewalk-oracle The above yum command should download and install all required packages to run spacewalk on your local server. | NOTE : if you did a full, desktop or workstation installation, | you have to remove the JTA package | BEFORE installing spacewalk-oracle (rpm -e --nodeps jta) Once the installation completes, simply run the spacewalk configuration tool and you are all set. (make sure to run the command with the 2 arguments) spacewalk-setup --disconnected --external-db Answer the questions during the setup, ensure you provide the current database user (example : spacewalk) and password (example : spacewalk) and database server hostname (the standard hostname of the server on which you have deployed the Oracle database) At the end of the setup script, your spacewalk server should be fully configured and you can log into the web portal. Use your favorite browser to connect to the website : http://[spacewalkserverhostname] The very first action will be to create the main admin account.

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  • Ubuntu won't suspend automatically any more

    - by Sparhawk
    In the last month or so, Ubuntu (12.04) has stopped sleeping automatically. I've gone to System Settings Power, and verified (and toggled) "suspend on inactive for" to 5 minutes (for both battery and "when plugged in"), but the system stays awake. I've also tried used code similar to $ gsettings set org.gnome.settings-daemon.plugins.power sleep-inactive-ac-timeout 300 $ gsettings set org.gnome.settings-daemon.plugins.power sleep-inactive-battery-timeout 300 to set the timeout values. I've also verified these in dconf Editor. Previously, I could set this quite low to make my computer sleep quickly, but now it no longer works either. I'm not sure if this is relevant, but under old versions of Ubuntu, if I wanted my computer to never suspend (via the CLI), I would also have to set $ gsettings set org.gnome.settings-daemon.plugins.power sleep-inactive-ac false At some point, this seemed to have been depreciated (and also gave me the error "No such key 'sleep-inactive-ac'"). I found that it it was enough to set sleep-inactive-ac-timeout to 0. This worked for a while, but at some point auto-suspend stopped working as stated above. Oddly enough, the sleep-inactive-ac key is still present when I look via dconf editor. However, when I click it, it says "no schema", and the summary, etc. fields are blank. To test if the dconf power plugin was working, I tried playing around with other settings in the schema. Idle-dim-time and idle-dim-ac work as expected . However, setting sleep-display-ac to 5 seconds has no effect. I'm also not sure if this is relevant, but I've uninstalled gnome-screensaver, and installed xscreensaver. I have tried killing xscreensaver and re-installing gnome-screensaver, but this did not help. I've also had some trouble with DPMS. I'm not sure if this is related, but I'll put the information here, just in case. Using xscreensaver, I set Power Management to enabled, with standby and suspend timeouts to 10 minutes. I've verified these settings in ~/.xscreensaver and xset q. However, the screen blanks after about 30 seconds. If I turn off DPMS (either via xscreensaver GUI or modifying ~/.xscreensaver), it won't blank at all, so I know that DPMS is partially reading the xscreensaver settings. -- edit I've attempted more troubleshooting, by creating a new user account, then logging out of the main account and into the new account. I've tried modifying the timeouts via dconf, but get the same results as above (i.e. it doesn't work, nor does sleep-display-ac, but idle-dim-time and idle-dim-ac work). Also, the depreciated sleep-display-ac key is not visible, so I think that this is probably unrelated. -- edit I've since moved to gnome-shell instead of unity, and still have this problem, so I guess that it's something to do with gnome-power-manager.

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  • Oracle GoldenGate: Knowledge Document Series Post #1

    - by Doug Reid
    0 false 18 pt 18 pt 0 0 false false false /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin:0in; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:12.0pt; font-family:"Times New Roman"; mso-ascii-font-family:Cambria; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Cambria; mso-hansi-theme-font:minor-latin;} Over the course of the next several weeks, the Oracle GoldenGate team will be posting highlights from the knowledge base on My Oracle Support. The intent is to bring greater awareness to our user community of some fantastic best practices documents that are available to anyone with a valid CSI.   These documents were originally created for our internal teams, but the content was so good and useful that we have made them available externally for our user community.  The first in our series is the Oracle GoldenGate database Schema Profile check script (Doc ID 1296168.1). “This script is intended to query the database by schema to identify current configuration and identify any unsupported data types or types that may need special considerations for Oracle GoldenGate in an Oracle environment. This is the Oracle database profile script.  Added check for deferred constraints. Deferred constraints may cause ADD TRANDATA to select the wrong column for logging. Use KEYCOLS for tables with deferred constraints.” Click here to view the document  Check back weekly for additional new postings.

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  • Auditing database source code changes

    - by John Paul Cook
    Auditing changes to database source code can be easily implemented with a database trigger. Here’s a simple implementation of stored procedure auditing using an audit table and a database trigger. It assumes that a schema named Audit already exists. CREATE TABLE Audit . AuditStoredProcedures ( DatabaseName sysname , ObjectName sysname , LoginName sysname , ChangeDate datetime , EventType sysname , EventDataXml xml ); Notice the EventDataXml column. Using an nvarchar column to store the source text...(read more)

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