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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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  • Testing Workflows &ndash; Test-First

    - by Timothy Klenke
    Originally posted on: http://geekswithblogs.net/TimothyK/archive/2014/05/30/testing-workflows-ndash-test-first.aspxThis is the second of two posts on some common strategies for approaching the job of writing tests.  The previous post covered test-after workflows where as this will focus on test-first.  Each workflow presented is a method of attack for adding tests to a project.  The more tools in your tool belt the better.  So here is a partial list of some test-first methodologies. Ping Pong Ping Pong is a methodology commonly used in pair programing.  One developer will write a new failing test.  Then they hand the keyboard to their partner.  The partner writes the production code to get the test passing.  The partner then writes the next test before passing the keyboard back to the original developer. The reasoning behind this testing methodology is to facilitate pair programming.  That is to say that this testing methodology shares all the benefits of pair programming, including ensuring multiple team members are familiar with the code base (i.e. low bus number). Test Blazer Test Blazing, in some respects, is also a pairing strategy.  The developers don’t work side by side on the same task at the same time.  Instead one developer is dedicated to writing tests at their own desk.  They write failing test after failing test, never touching the production code.  With these tests they are defining the specification for the system.  The developer most familiar with the specifications would be assigned this task. The next day or later in the same day another developer fetches the latest test suite.  Their job is to write the production code to get those tests passing.  Once all the tests pass they fetch from source control the latest version of the test project to get the newer tests. This methodology has some of the benefits of pair programming, namely lowering the bus number.  This can be good way adding an extra developer to a project without slowing it down too much.  The production coder isn’t slowed down writing tests.  The tests are in another project from the production code, so there shouldn’t be any merge conflicts despite two developers working on the same solution. This methodology is also a good test for the tests.  Can another developer figure out what system should do just by reading the tests?  This question will be answered as the production coder works there way through the test blazer’s tests. Test Driven Development (TDD) TDD is a highly disciplined practice that calls for a new test and an new production code to be written every few minutes.  There are strict rules for when you should be writing test or production code.  You start by writing a failing (red) test, then write the simplest production code possible to get the code working (green), then you clean up the code (refactor).  This is known as the red-green-refactor cycle. The goal of TDD isn’t the creation of a suite of tests, however that is an advantageous side effect.  The real goal of TDD is to follow a practice that yields a better design.  The practice is meant to push the design toward small, decoupled, modularized components.  This is generally considered a better design that large, highly coupled ball of mud. TDD accomplishes this through the refactoring cycle.  Refactoring is only possible to do safely when tests are in place.  In order to use TDD developers must be trained in how to look for and repair code smells in the system.  Through repairing these sections of smelly code (i.e. a refactoring) the design of the system emerges. For further information on TDD, I highly recommend the series “Is TDD Dead?”.  It discusses its pros and cons and when it is best used. Acceptance Test Driven Development (ATDD) Whereas TDD focuses on small unit tests that concentrate on a small piece of the system, Acceptance Tests focuses on the larger integrated environment.  Acceptance Tests usually correspond to user stories, which come directly from the customer. The unit tests focus on the inputs and outputs of smaller parts of the system, which are too low level to be of interest to the customer. ATDD generally uses the same tools as TDD.  However, ATDD uses fewer mocks and test doubles than TDD. ATDD often complements TDD; they aren’t competing methods.  A full test suite will usually consist of a large number of unit (created via TDD) tests and a smaller number of acceptance tests. Behaviour Driven Development (BDD) BDD is more about audience than workflow.  BDD pushes the testing realm out towards the client.  Developers, managers and the client all work together to define the tests. Typically different tooling is used for BDD than acceptance and unit testing.  This is done because the audience is not just developers.  Tools using the Gherkin family of languages allow for test scenarios to be described in an English format.  Other tools such as MSpec or FitNesse also strive for highly readable behaviour driven test suites. Because these tests are public facing (viewable by people outside the development team), the terminology usually changes.  You can’t get away with the same technobabble you can with unit tests written in a programming language that only developers understand.  For starters, they usually aren’t called tests.  Usually they’re called “examples”, “behaviours”, “scenarios”, or “specifications”. This may seem like a very subtle difference, but I’ve seen this small terminology change have a huge impact on the acceptance of the process.  Many people have a bias that testing is something that comes at the end of a project.  When you say we need to define the tests at the start of the project many people will immediately give that a lower priority on the project schedule.  But if you say we need to define the specification or behaviour of the system before we can start, you’ll get more cooperation.   Keep these test-first and test-after workflows in your tool belt.  With them you’ll be able to find new opportunities to apply them.

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  • JDK bug migration milestone: JIRA now the system of record

    - by darcy
    I'm pleased to announce the OpenJDK bug database migration project has reached a significant milestone: the JDK has switched from the legacy Sun "bugtraq" system to a new internal JIRA instance as the system of record for our bug tracking. This completes the initial phase of the previously described plan of getting OpenJDK onto an externally visible and writable bug tracker. The identities contained in the current system include recognized OpenJDK contributors. The bug migration effort to date has been sizable in multiple dimensions. There are around 140,000 distinct issues imported into the JDK project of the JIRA instance, nearly 165,000 if backport issues to track multiple-release information are included. Separately, the Code Tools OpenJDK project has its own JIRA project populated with several thousands existing bugs. Once the OpenJDK JIRA instance is externalized, approved OpenJDK projects will be able to request the creation of a JIRA project for issue tracking. There are many differences in the schema used to model bugs between the legacy bug system and the schema for the new JIRA projects. We've favored simplifications to the existing system where possible and, after much discussion, we've settled on five main states for the OpenJDK JIRA projects: New Open In progress Resolved Closed The Open and In-progress states can have a substate Understanding field set to track whether the issues has its "Cause Known" or "Fix understood". In the closed state, a Verification field can indicate whether a fix has been verified, unverified, or if the fix has failed. At the moment, there will be very little externally visible difference between JIRA for OpenJDK and the legacy system it replaces. One difference is that bug numbers for newly filed issues in the JIRA JDK project will be 8000000 and above. If you are working with JDK Hg repositories, update any local copies of jcheck to the latest version which recognizes this expanded bug range. (The bug numbers of existing issues have been preserved on the import into JIRA). Relatively soon, we plan for the pages published on bugs.sun.com to be generated from information in JIRA rather than in the legacy system. When this occurs, there will be some differences in the page display and the terminology used will be revised to reflect JIRA usage, such as referring to the "component/subcomponent" of an issue rather than its "category". The exact timing of this transition will be announced when it is known. We don't currently have a firm timeline for externalization of the JIRA system. Updates will be provided as they become available. However, that is unlikely to happen before JavaOne next week!

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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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  • 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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  • 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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  • Re-generating SQL Server Logins

    SQL Server stores all login information on security catalog system tables. By querying the system tables, SQL statements can be re-generated to recover logins, including password, default schema/database, server/database role assignments, and object level permissions. A comprehensive permission report can also be produced by combining information from the system metadata. The Future of SQL Server Monitoring "Being web-based, SQL Monitor 2.0 enables you to check on your servers from almost any location" Jonathan Allen.Try SQL Monitor now.

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

    - by Amir Rezaei
    Which is the best why to go when there are no documentations? 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 se 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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  • Oracle BPM and Open Data integration development

    - by drrwebber
    Rapidly developing Oracle BPM application solutions with data source integration previously required significant Java and JDeveloper skills. Now using open source tools for open data development significantly reduces the coding needed.  Key tasks can be performed with visual drag and drop designing combined with menu selections entry and automatic form generation directly from XSD schema definitions. The architecture used is extremely lightweight, portable, open platform and scalable allowing integration with a variety of Oracle and non-Oracle data sources and systems. Two videos available on YouTube walk through the process at both an introductory conceptual level and then a deep dive into the programming needed using JDeveloper, Oracle BPM composer and Oracle WLS (WebLogic Server) along with the CAM editor and Open-XDX open source tools. Also available are coding samples and resources from the GitHub project page, along with working online demonstration resources on the VerifyXML site. Combining Oracle BPM with these open source tools provides a comprehensive simple and elegant solution set. Development times are slashed and rapid prototyping is enabled. Also existing data sources can be integrated using open data formats with either XML or JSON along with CRUD accessing via the Open-XDX Java component. The Open-XDX tool is a code-free approach where data mapping is configured as templates using visual drag and drop in the CAM Editor open source tool.  XML or JSON is then automatically generated or processed (output or input) and appropriate SQL statements created to support the data accessing.   Also included is the ability to integrate with fillable PDF forms via the XML templates and the Java PDF form filling library.  Again minimal Java coding is needed to associate the XML source content with the PDF named fields.  The Oracle BPM forms can be automatically generated from XSD schema definitions that are built from the data mapping templates.  This dramatically simplifies development work as all the integration artifacts needed are created by the open source editor toolset. The developer level video is designed as a tutorial with segments, hands-on demonstrations and reviews.  This allows developers to learn the techniques and approaches used in incremental steps. The intended audience ranges from data analysts to developers and assumes only entry level Java skills and knowledge.  Most actions are menu driven while Java coding is limited to simply configuring values and parameters along with performing builds and deployments from JDeveloper and Oracle WLS.   Additional existing Oracle online training resources can be referenced on Oracle BPM and WLS that cover other normal delivery aspects such as user management and application deployment.

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  • Oracle Database I/O Performance Tuning Using Benchmark Factory

    The real test of how heavily an Oracle database will tax its underlying I/O subsystem and related infrastructure is to actually tax that infrastructure using representative database application workloads. Jim Czuprynski tells you how to choose appropriate database schema(s) for realistic testing, how to create example TPC-E and TPC-H database schemas and how to perform initial loading of these schemas using Quest Benchmark Factory.

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  • Updated sp_indexinfo

    - by TiborKaraszi
    It was time to give sp_indexinfo some love. The procedure is meant to be the "ultimate" index information procedure, providing lots of information about all indexes in a database or all indexes for a certain table. Here is what I did in this update: Changed the second query that retrieves missing index information so it generates the index name (based on schema name, table name and column named - limited to 128 characters). Re-arranged and shortened column names to make output more compact and more...(read more)

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  • FOUR questions to ask if you are implementing DATABASE-AS-A-SERVICE

    - by Sudip Datta
    During my ongoing tenure at Oracle, I have met all types of DBAs. Happy DBAs, unhappy DBAs, proud DBAs, risk-loving DBAs, cautious DBAs. These days, as Database-as-a-Service (DBaaS) becomes more mainstream, I find some complacent DBAs who are basking in their achievement of having implemented DBaaS. Some others, however, are not that happy. They grudgingly complain that they did not have much of a say in the implementation, they simply had to follow what their cloud architects (mostly infrastructure admins) offered them. In most cases it would be a database wrapped inside a VM that would be labeled as “Database as a Service”. In other cases, it would be existing brute-force automation simply exposed in a portal. As much as I think that there is more to DBaaS than those approaches and often get tempted to propose Enterprise Manager 12c, I try to be objective. Neither do I want to dampen the spirit of the happy ones, nor do I want to stoke the pain of the unhappy ones. As I mentioned in my previous post, I don’t deny vanilla automation could be useful. I like virtualization too for what it has helped us accomplish in terms of resource management, but we need to scrutinize its merit on a case-by-case basis and apply it meaningfully. For DBAs who either claim to have implemented DBaaS or are planning to do so, I simply want to provide four key questions to ponder about: 1. Does it make life easier for your end users? Database-as-a-Service can have several types of end users. Junior DBAs, QA Engineers, Developers- each having their own skillset. The objective of DBaaS is to make their life simple, so that they can focus on their core responsibilities without having to worry about additional stuff. For example, if you are a Developer using Oracle Application Express (APEX), you want to deal with schema, objects and PL/SQL code and not with datafiles or listener configuration. If you are a QA Engineer needing database copies for functional testing, you do not want to deal with underlying operating system patching and compliance issues. The question to ask, therefore, is, whether DBaaS makes life easier for those users. It is often convenient to give them VM shells to deal with a la Amazon EC2 IaaS, but is that what they really want? Is it a productive use of a developer's time if he needs to apply RPM errata to his Linux operating system. Asking him to keep the underlying operating system current is like making a guest responsible for a restaurant's decor. 2. Does it make life easier for your administrators? Cloud, in general, is supposed to free administrators from attending to mundane tasks like provisioning services for every single end user request. It is supposed to enable a readily consumable platform and enforce standardization in the process. For example, if a Service Catalog exposes DBaaS of specific database versions and configurations, it, by its very nature, enforces certain discipline and standardization within the IT environment. What if, instead of specific database configurations, cloud allowed each end user to create databases of their liking resulting in hundreds of version and patch levels and thousands of individual databases. Therefore the right question to ask is whether the unwanted consequence of DBaaS is OS and database sprawl. And if so, who is responsible for tracking them, backing them up, administering them? Studies have shown that these administrative overheads increase exponentially with new targets, and it could result in a management nightmare. That leads us to our next question. 3. Does it satisfy your Security Officers and Compliance Auditors? Compliance Auditors need to know who did what and when. They also want the cloud platform to be secure, so that end users have little freedom in tampering with it. Dealing with VM sprawl is not the easiest of challenges, let alone dealing with them as they keep getting reconfigured and moved around. This leads to the proverbial needle in the haystack problem, and all it needs is one needle to cause a serious compliance issue in the enterprise. Bottomline is, flexibility and agility should not come at the expense of compliance and it is very important to get the balance right. Can we have security and isolation without creating compliance challenges? Instead of a ‘one size fits all approach’ i.e. OS level isolation, can we think smartly about database isolation or schema based isolation? This is where the appropriate resource modeling needs to be applied. The usual systems management vendors out there with heterogeneous common-denominator approach have compromised on these semantics. If you follow Enterprise Manager’s DBaaS solution, you will see that we have considered different models, not precluding virtualization, for different customer use cases. The judgment to use virtual assemblies versus databases on physical RAC versus Schema-as-a-Service in a single database, should be governed by the need of the applications and not by putting compliance considerations in the backburner. 4. Does it satisfy your CIO? Finally, does it satisfy your higher ups? As the sponsor of cloud initiative, the CIO is expected to lead an IT transformation project, not merely a run-of-the-mill IT operations. Simply virtualizing server resources and delivering them through self-service is a good start, but hardly transformational. CIOs may appreciate the instant benefit from server consolidation, but studies have revealed that the ROI from consolidation would flatten out at 20-25%. The question would be: what next? As we go higher up in the stack, the need to virtualize, segregate and optimize shifts to those layers that are more palpable to the business users. As Sushil Kumar noted in his blog post, " the most important thing to note here is the enterprise private cloud is not just an IT project, rather it is a business initiative to create an IT setup that is more aligned with the needs of today's dynamic and highly competitive business environment." Business users could not care less about infrastructure consolidation or virtualization - they care about business agility and service level assurance. Last but not the least, lot of CIOs get miffed if we ask them to throw away their existing hardware investments for implementing DBaaS. In Oracle, we always emphasize on freedom of choosing a platform; hence Enterprise Manager’s DBaaS solution is platform neutral. It can work on any Operating System (that the agent is certified on) Oracle’s hardware as well as 3rd party hardware. As a parting note, I urge you to remember these 4 questions. Remember that your satisfaction as an implementer lies in the satisfaction of others.

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  • Microsoft sort un plug-in "Windows Azure pour Eclipse" pour faciliter le déploiement d'applications Java sur son Cloud

    Microsoft sort un plug-in Windows Azure pour Eclipse Pour faciliter le déploiement d'applications Java sur son Cloud Les développeurs Java peuvent désormais utiliser l'environnement de développement Eclipse pour le paquetage et le déploiement des applications Java sur la plate-forme Cloud de Microsoft Windows Azure. Microsoft vient de dévoiler la version CTP (Community Technology Preview) du plugin « Windows Azure for Eclipse ». Ce plugin offre aux utilisateurs une interface graphique pour la configuration et l'accès distant aux applications afin d'assurer leurs maintenances, des fonctions pour la validation du schéma et de l'auto-complétion pour les fichiers de configuration Azure...

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  • Configuring trace file size and number in WebCenter Content 11g

    - by Kyle Hatlestad
    Lately I've been doing a lot of debugging using the System Output tracing in WebCenter Content 11g.  This is built-in tracing in the content server which provides a great level of detail on what's happening under the hood.  You can access the settings as well as a view of the tracing by going to Administration -> System Audit Information.  From here, you can select the tracing sections to include.  Some of my personal favorites are searchquery,  systemdatabase, userstorage, and indexer.  Usually I'm trying to find out some information regarding a search, database query, or user information.  Besides debugging, it's also very helpful for performance tuning. One of the nice tricks with the tracing is it honors the wildcard (*) character.  So you can put in 'schema*' and gather all of the schema related tracing.  And you can notice if you select 'all' and update, it changes to just a *.   To view the tracing in real-time, you simply go to the 'View Server Output' page and the latest tracing information will be at the bottom. This works well if you're looking at something pretty discrete and the system isn't getting much activity.  But if you've got a lot of tracing going on, it would be better to go after the trace log file itself.  By default, the log files can be found in the <content server instance directory>/data/trace directory. You'll see it named 'idccs_<managed server name>_current.log.  You may also find previous trace logs that have rolled over.  In this case they will identified by a date/time stamp in the name.  By default, the server will rotate the logs after they reach 1MB in size.  And it will keep the most recent 10 logs before they roll off and get deleted.  If your server is in a cluster, then the trace file should be configured to be local to the node per the recommended configuration settings. If you're doing some extensive tracing and need to capture all of the information, there are a couple of configuration flags you can set to control the logs. #Change log size to 10MB and number of logs to 20FileSizeLimit=10485760FileCountLimit=20 This is set by going to Admin Server -> General Configuration and entering them in the Additional Configuration Variables: section.  Restart the server and it should take on the new logging settings. 

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  • Partitioning a 128GB SSD and 500GB HDD

    - by Gladen
    So I have a 128GB SSD and 500GB HDD. I want to reïnstall my laptop and put Ubuntu 12.10 on this setup. I already looked around on the internet and came up with this partitioning schema: about 2GB of swap on the SSD (I got 4GB of RAM in my laptop) / using the rest of that space /home on the HDD So I was wondering, are there any better schemes or extra partitions that I should consider putting on a particular drive? Thanks in advance! :)

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  • How to implement a component based system for items in a web game.

    - by Landstander
    Reading several other questions and answers on using a component based system to define items I want to use one for the items and spells in a web game written in PHP. I'm just stuck on the implementation. I'm going to use a DB schema suggested in this series (part 5 describes the schema); http://t-machine.org/index.php/2007/09/03/entity-systems-are-the-future-of-mmog-development-part-1/ This means I'll have an items table with generic item properties, a table listing all of the components for an item and finally records in each component table used to make up the item. Assuming I can select the first two together in a single query, I'm still going to do N queries for each component type. I'm kind of fine with this because I can cache the data into memcache and check there first before doing any queries. I'll need to build up the items on every request they are used in so the implementation needs to be on the lean side even if they're pulled from memcache. But right there is where I feel confident about implementing a component system for my items ends. I figure I'd need to bring attributes and behaviors into the container from each component it uses. I'm just not sure how to do that effectively and not end up writing a lot of specialized code to deal with each component. For example an AttackComponent might need to know how to filter targets inside of a battle context and also maybe provide an attack behavior. That same item might also have a UsableComponent which allows the item to be used and apply some effect onto a different set of targets filtered differently from the same battle context. Then not every part of an item is an active part, an AttributeBonusComponent might need to only kick in when the item is in an equipped state or when displaying the item details page. Ultimately, how should I bring all of the components together into the container so when I use an item as a weapon I get the correct list of targets? Know when a weapon can also be used as an item? Or to apply the bonuses the item provides to a character object? I feel like I've gone too far down the rabbit hole and I can't grasp onto the simple solution in front of me. (If that makes any sense at all.) Likewise if I were to implement the best answer from here I feel like I'd have a lot of the same questions. How to model multiple "uses" (e.g. weapon) for usable-inventory/object/items (e.g. katana) within a relational database.

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  • Cleaning Up SQL Server Deployment Scripts

    Although, generally speaking, source control is the truth, a database doesn't quite conform to the ideal because the target schema can, for valid reasons, contain other conflicting truths that can't easily be captured in source control. Dave Ballantyne explains the problems and suggests a solution. Compress live data by 73% Red Gate's SQL Storage Compress reduces the size of live SQL Server databases, saving you disk space and storage costs. Learn more.

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  • Error while running Quickly

    - by Sagar Mk
    Getting an error while running quickly app: ------------------------------------------------------------------------------------------- Creating project directory sata Creating bzr repository and committing Launching your newly created project! (sata:2701): GLib-GIO-ERROR **: Settings schema 'org.gnome.desktop.interface' is not installed Congrats, your new project is setup! cd /home/blacksaint/sata/ to start hacking. ------------------------------------------------------------------------------------------- Actually after this the app should pop - up but it really doesn't do so!

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  • EF Doesn't Like Same Named Tables

    - by Anthony Trudeau
    Originally posted on: http://geekswithblogs.net/tonyt/archive/2013/07/02/153327.aspxIt's another week and another restriction imposed by the Entity Framework (EF). Don't get me wrong. I like EF, but I don't like how it restricts you in different ways. At this point you may be asking yourself the question: how can you have more than one table with the same name?The answer is to have tables in different schemas. I do this to partition the data based on the area of concern. It allows security to be assigned conveniently. A lot of people don't use schemas. I love them. But this article isn't about schemas.In the situation I have two tables:Contact.PersonEmployee.PersonThe first contains the basic, more public information such as the name. The second contains mostly HR specific information. I then mapped these tables to two classes. I stuck to a Table per Class (TPC) mapping, because of problems I've had in the past implementing inheritance with EF. The following code gives you the basic contents of the classes.[Table("Person", Schema = "Employee")]public class Employee {   ...   public int PersonId { get; set; }   [ForeignKey("PersonId")]   public virtual Person Person { get; set; }}[Table("Person", Schema = "Contact")]public class Person {   [Key]   public int Id { get; set; }   ...}This seemingly simple scenario just doesn't work. The problem occurs when you try to add a Person to the DbContext. You get an InvalidOperationException with the following text:The entity types 'Employee' and 'Person' cannot share table 'People' because they are not in the same type hierarchy or do not have a valid one to one foreign key relationship with matching primary keys between them..This is interesting for a couple of reasons. First, there is no People table in my database. Second, I have used the SetInitializer method to stop a database from being created, so it shouldn't be thinking about new tables.The solution to my problem was to change the name of my Employee.Person table. I decided to name it Employee.Employee. It's not ideal, but it gets me past the EF limitation. I hope that this article will help someone else that has the same problem.

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