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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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• 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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• 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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• 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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• 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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• 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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• 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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• 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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• 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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• 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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• 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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• Northwind now available on SQL Azure

  - by jamiet

  Two weeks ago I made available a copy of [AdventureWorks2012] on SQL Azure and published credentials so that anyone from the SQL community could connect up and experience SQL Azure, probably for the first time. One of the (somewhat) popular requests thereafter was to make the venerable Northwind database available too so I am pleased to say that as of right now, Northwind is up there too. You will notice immediately that all of the Northwind tables (and the stored procedures and views too) have been moved into a schema called [Northwind] – this was so that they could be easily differentiated from the existing [AdventureWorks2012] objects. I used an SQL Server Data Tools (SSDT) project to publish the schema and data up to this SQL Azure database; if you are at all interested in poking around that SSDT project then I have made it available on Codeplex for your convenience under the MS-PL license – go and get it from https://northwindssdt.codeplex.com/. Using SSDT proved particularly useful as it alerted me to some aspects of Northwind that were not compatible with SQL Azure, namely that five of the tables did not have clustered indexes: The beauty of using SSDT is that I am alerted to these issues before I even attempt a connection to SQL Azure. Pretty cool, no? Fixing this situation was of course very easy, I simply changed the following primary keys from being nonclustered to clustered: [PK_Region] [PK_CustomerDemographics] [PK_EmployeeTerritories] [PK_Territories] [PK_CustomerCustomerDemo]   If you want to connect up then here are the credentials that you will need: Server mhknbn2kdz.database.windows.net Database AdventureWorks2012 User sqlfamily Password sqlf@m1ly You will need SQL Server Management Studio (SSMS) 2008R2 installed in order to connect or alternatively simply use this handy website: https://mhknbn2kdz.database.windows.net which provides a web interface to a SQL Azure server. Do remember that hosting this database is not free so if you find that you are making use of it please help to keep it available by visiting Paypal and donating any amount at all to [email protected]. To make this easy you can simply hit this link and the details will be completed for you – all you have to do is login and hit the “Send” button. If you are already a PayPal member then it should take you all of about 20 seconds! I hope this is useful to some of you folks out there. Don’t forget that we also have more data up there than in the conventional [AdventureWorks2012], read more at Big AdventureWorks2012. @Jamiet  AdventureWorks on Azure - Provided by the SQL Server community, for the SQL Server community!

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• SQL Server v.Next (Denali) : Metadata enhancements

  - by AaronBertrand

  In my previous job, we had several cases where schema changes or incorrect developer assumptions in the middle tier or application logic would lead to type mismatches. We would have a stored procedure that returns a BIT column, but then change the procedure to have something like CASE WHEN <condition> THEN 1 ELSE 0 END. In this case SQL Server would return an INT as a catch-all, and if .NET was expecting a boolean, BOOM. Wouldn't it be nice if the application could check the result set of the...(read more)

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• Execution plan warnings–The final chapter

  - by Dave Ballantyne

  In my previous posts (here and here), I showed examples of some of the execution plan warnings that have been added to SQL Server 2012.  There is one other warning that is of interest to me : “Unmatched Indexes”. Firstly, how do I know this is the final one ?  The plan is an XML document, right ? So that means that it can have an accompanying XSD.  As an XSD is a schema definition, we can poke around inside it to find interesting things that *could* be in the final XML file. The showplan schema is stored in the folder Microsoft SQL Server\110\Tools\Binn\schemas\sqlserver\2004\07\showplan and by comparing schemas over releases you can get a really good idea of any new functionality that has been added. Here is the section of the Sql Server 2012 showplan schema that has been interesting me so far : <xsd:complexType name="AffectingConvertWarningType"> <xsd:annotation> <xsd:documentation>Warning information for plan-affecting type conversion</xsd:documentation> </xsd:annotation> <xsd:sequence> <!-- Additional information may go here when available --> </xsd:sequence> <xsd:attribute name="ConvertIssue" use="required"> <xsd:simpleType> <xsd:restriction base="xsd:string"> <xsd:enumeration value="Cardinality Estimate" /> <xsd:enumeration value="Seek Plan" /> <!-- to be extended here --> </xsd:restriction> </xsd:simpleType> </xsd:attribute> <xsd:attribute name="Expression" type ="xsd:string" use="required" /></xsd:complexType><xsd:complexType name="WarningsType"> <xsd:annotation> <xsd:documentation>List of all possible iterator or query specific warnings (e.g. hash spilling, no join predicate)</xsd:documentation> </xsd:annotation> <xsd:choice minOccurs="1" maxOccurs="unbounded"> <xsd:element name="ColumnsWithNoStatistics" type="shp:ColumnReferenceListType" minOccurs="0" maxOccurs="1" /> <xsd:element name="SpillToTempDb" type="shp:SpillToTempDbType" minOccurs="0" maxOccurs="unbounded" /> <xsd:element name="Wait" type="shp:WaitWarningType" minOccurs="0" maxOccurs="unbounded" /> <xsd:element name="PlanAffectingConvert" type="shp:AffectingConvertWarningType" minOccurs="0" maxOccurs="unbounded" /> </xsd:choice> <xsd:attribute name="NoJoinPredicate" type="xsd:boolean" use="optional" /> <xsd:attribute name="SpatialGuess" type="xsd:boolean" use="optional" /> <xsd:attribute name="UnmatchedIndexes" type="xsd:boolean" use="optional" /> <xsd:attribute name="FullUpdateForOnlineIndexBuild" type="xsd:boolean" use="optional" /></xsd:complexType> I especially like the “to be extended here” comment,  high hopes that we will see more of these in the future.   So “Unmatched Indexes” was a warning that I couldn’t get and many thanks must go to Fabiano Amorim (b|t) for showing me the way.   Filtered indexes were introduced in Sql Server 2008 and are really useful if you only need to index only a portion of the data within a table.  However,  if your SQL code uses a variable as a predicate on the filtered data that matches the filtered condition, then the filtered index cannot be used as, naturally,  the value in the variable may ( and probably will ) change and therefore will need to read data outside the index.  As an aside,  you could use option(recompile) here , in which case the optimizer will build a plan specific to the variable values and use the filtered index,  but that can bring about other problems.   To demonstrate this warning, we need to generate some test data :   DROP TABLE #TestTab1GOCREATE TABLE #TestTab1 (Col1 Int not null, Col2 Char(7500) not null, Quantity Int not null)GOINSERT INTO #TestTab1 VALUES (1,1,1),(1,2,5),(1,2,10),(1,3,20), (2,1,101),(2,2,105),(2,2,110),(2,3,120)GO and then add a filtered index CREATE INDEX ixFilter ON #TestTab1 (Col1)WHERE Quantity = 122 Now if we execute SELECT COUNT(*) FROM #TestTab1 WHERE Quantity = 122 We will see the filtered index being scanned But if we parameterize the query DECLARE @i INT = 122SELECT COUNT(*) FROM #TestTab1 WHERE Quantity = @i The plan is very different a table scan, as the value of the variable used in the predicate can change at run time, and also we see the familiar warning triangle. If we now look at the properties pane, we will see two pieces of information “Warnings” and “UnmatchedIndexes”. So, handily, we are being told which filtered index is not being used due to parameterization.

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• breadcrumb dilemma -SEO impact

  - by HaCos

  i am updating the breadcrumb module of an commerce website, implementing microdata (schema.org). My dilemma is about showing last page: a.product name on breadcrumb or not? b.Should that be active link to current page or not? eg: http://www.google.com/webmasters/tools/richsnippets?url=http%3A%2F%2Fwww.urbanspoon.com%2Fr%2F23%2F1600592%2Frestaurant%2FPoint-Breeze%2FAlma-Pan-Latin-Kitchen-Pittsburgh urbanspoon example doesnt link last page, but is this right?

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• Function Folding in #PowerQuery

  - by Darren Gosbell

  Originally posted on: http://geekswithblogs.net/darrengosbell/archive/2014/05/16/function-folding-in-powerquery.aspxLooking at a typical Power Query query you will noticed that it's made up of a number of small steps. As an example take a look at the query I did in my previous post about joining a fact table to a slowly changing dimension. It was roughly built up of the following steps: Get all records from the fact table Get all records from the dimension table do an outer join between these two tables on the business key (resulting in an increase in the row count as there are multiple records in the dimension table for each business key) Filter out the excess rows introduced in step 3 remove extra columns that are not required in the final result set. If Power Query was to execute a query like this literally, following the same steps in the same order it would not be overly efficient. Particularly if your two source tables were quite large. However Power Query has a feature called function folding where it can take a number of these small steps and push them down to the data source. The degree of function folding that can be performed depends on the data source, As you might expect, relational data sources like SQL Server, Oracle and Teradata support folding, but so do some of the other sources like OData, Exchange and Active Directory. To explore how this works I took the data from my previous post and loaded it into a SQL database. Then I converted my Power Query expression to source it's data from that database. Below is the resulting Power Query which I edited by hand so that the whole thing can be shown in a single expression: let     SqlSource = Sql.Database("localhost", "PowerQueryTest"),     BU = SqlSource{[Schema="dbo",Item="BU"]}[Data],     Fact = SqlSource{[Schema="dbo",Item="fact"]}[Data],     Source = Table.NestedJoin(Fact,{"BU_Code"},BU,{"BU_Code"},"NewColumn"),     LeftJoin = Table.ExpandTableColumn(Source, "NewColumn"                                   , {"BU_Key", "StartDate", "EndDate"}                                   , {"BU_Key", "StartDate", "EndDate"}),     BetweenFilter = Table.SelectRows(LeftJoin, each (([Date] >= [StartDate]) and ([Date] <= [EndDate])) ),     RemovedColumns = Table.RemoveColumns(BetweenFilter,{"StartDate", "EndDate"}) in     RemovedColumns If the above query was run step by step in a literal fashion you would expect it to run two queries against the SQL database doing "SELECT * …" from both tables. However a profiler trace shows just the following single SQL query: select [_].[BU_Code],     [_].[Date],     [_].[Amount],     [_].[BU_Key] from (     select [$Outer].[BU_Code],         [$Outer].[Date],         [$Outer].[Amount],         [$Inner].[BU_Key],         [$Inner].[StartDate],         [$Inner].[EndDate]     from [dbo].[fact] as [$Outer]     left outer join     (         select [_].[BU_Key] as [BU_Key],             [_].[BU_Code] as [BU_Code2],             [_].[BU_Name] as [BU_Name],             [_].[StartDate] as [StartDate],             [_].[EndDate] as [EndDate]         from [dbo].[BU] as [_]     ) as [$Inner] on ([$Outer].[BU_Code] = [$Inner].[BU_Code2] or [$Outer].[BU_Code] is null and [$Inner].[BU_Code2] is null) ) as [_] where [_].[Date] >= [_].[StartDate] and [_].[Date] <= [_].[EndDate] The resulting query is a little strange, you can probably tell that it was generated programmatically. But if you look closely you'll notice that every single part of the Power Query formula has been pushed down to SQL Server. Power Query itself ends up just constructing the query and passing the results back to Excel, it does not do any of the data transformation steps itself. So now you can feel a bit more comfortable showing Power Query to your less technical Colleagues knowing that the tool will do it's best fold all the  small steps in Power Query down the most efficient query that it can against the source systems.

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• Rounding functions in DAX

  - by Marco Russo (SQLBI)

  Today I prepared a table of the many rounding functions available in DAX (yes, it’s part of the book we’re writing), so that I have a complete schema of the better function to use, depending on the round operation I need to do. Here is the list of functions used and then the results shown for a relevant set of values. FLOOR = FLOOR( Tests[Value], 0.01 ) TRUNC = TRUNC( Tests[Value], 2 ) ROUNDDOWN = ROUNDDOWN( Tests[Value], 2 ) MROUND = MROUND( Tests[Value], 0.01 ) ROUND = ROUND( Tests[Value], 2 )...(read more)

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• Rounding functions in DAX

  - by Marco Russo (SQLBI)

  Today I prepared a table of the many rounding functions available in DAX (yes, it’s part of the book we’re writing), so that I have a complete schema of the better function to use, depending on the round operation I need to do. Here is the list of functions used and then the results shown for a relevant set of values. FLOOR = FLOOR( Tests[Value], 0.01 ) TRUNC = TRUNC( Tests[Value], 2 ) ROUNDDOWN = ROUNDDOWN( Tests[Value], 2 ) MROUND = MROUND( Tests[Value], 0.01 ) ROUND = ROUND( Tests[Value], 2 )...(read more)

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• Hadoop, NOSQL, and the Relational Model

  - by Phil Factor

  (Guest Editorial for the IT Pro/SysAdmin Newsletter)Whereas Relational Databases fit the world of commerce like a glove, it is useless to pretend that they are a perfect fit for all human endeavours. Although, with SQL Server, we’ve made great strides with indexing text, in processing spatial data and processing markup, there is still a problem in dealing efficiently with large volumes of ephemeral semi-structured data. Key-value stores such as Cassandra, Project Voldemort, and Riak are of great value for ephemeral data, and seem of equal value as a data-feed that provides aggregations to an RDBMS. However, the Document databases such as MongoDB and CouchDB are ideal for semi-structured data for which no fixed schema exists; analytics and logging are obvious examples. NoSQL products, such as MongoDB, tackle the semi-structured data problem with panache. MongoDB is designed with a simple document-oriented data model that scales horizontally across multiple servers. It doesn’t impose a schema, and relies on the application to enforce the data structure. This is another take on the old ‘EAV’ problem (where you don’t know in advance all the attributes of a particular entity) It uses a clever replica set design that allows automatic failover, and uses journaling for data durability. It allows indexing and ad-hoc querying. However, for SQL Server users, the obvious choice for handling semi-structured data is Apache Hadoop. There will soon be an ODBC Driver for Apache Hive .and an Add-in for Excel. Additionally, there are now two Hadoop-based connectors for SQL Server; the Apache Hadoop connector for SQL Server 2008 R2, and the SQL Server Parallel Data Warehouse (PDW) connector. We can connect to Hadoop process the semi-structured data and then store it in SQL Server. For one steeped in the culture of Relational SQL Databases, I might be expected to throw up my hands in the air in a gesture of contempt for a technology that was, judging by the overblown journalism on the subject, about to make my own profession as archaic as the Saggar makers bottom knocker (a potter’s assistant who helped the saggar maker to make the bottom of the saggar by placing clay in a metal hoop and bashing it). However, on the contrary, I find that I'm delighted with the advances made by the NoSQL databases in the past few years. Having the flow of ideas from the NoSQL providers will knock any trace of complacency out of the providers of Relational Databases and inspire them into back-fitting some features, such as horizontal scaling, with sharding and automatic failover into SQL-based RDBMSs. It will do the breed a power of good to benefit from all this lateral thinking.

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• Juju bootstrap fails for Windows Azure

  - by tomconte

  I am trying to play with Juju on Windows Azure. I did the configuration part, however the boostrap fails on a network configuration error: 2013-10-29 10:08:49 ERROR juju supercommand.go:282 PUT request failed: BadRequest - XML Schema validation error in network configuration at line 75,18. (http code 400: Bad Request) How can I troubleshoot? Can I find somewhere the XML file to examine it? Thanks! Thomas.

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• Getting started with tuning your SOA/BPM database using AWR

  - by Mark Nelson

  In order to continue to get good performance from your SOA or BPM 11g server, you will want to periodically check your database – the one you are storing your SOAINFRA schema in – to see if there are any performance issues there. This article provides a very brief introduction to the use of the Automatic Workload Repository (AWR) in the Oracle Database and what to look for in the reports for your SOA/BPM environment. READ MORE >>

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