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  • Performance Tuning with Traces

    - by Tara Kizer
    This past Saturday, I presented "Performance Tuning with Traces" at SQL Saturday #47 in Phoenix, Arizona.  You can download my slide deck and supporting files here. This is the same presentation that I did in September at SQL Saturday #55 in San Diego, however I focused less on my custom server-side trace tool and more on the steps that I take to troubleshoot a production performance problem which often includes server-side tracing.  If any of my blog readers attended the presentation, I'd love to hear your feedback.  I'm specifically interested in hearing constructive criticism.  Speaking in front of people is not something that comes naturally to me.  I plan on presenting in the future, so feedback on how I can do a better job would be very helpful.  My number one problem is I talk too fast!

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  • Unexpected advantage of Engineered Systems

    - by user12244672
    It's not surprising that Engineered Systems accelerate the debugging and resolution of customer issues. But what has surprised me is just how much faster issue resolution is with Engineered Systems such as SPARC SuperCluster. These are powerful, complex, systems used by customers wanting extreme database performance, app performance, and cost saving server consolidation. A SPARC SuperCluster consists or 2 or 4 powerful T4-4 compute nodes, 3 or 6 extreme performance Exadata Storage Cells, a ZFS Storage Appliance 7320 for general purpose storage, and ultra fast Infiniband switches.  Each with its own firmware. It runs Solaris 11, Solaris 10, 11gR2, LDoms virtualization, and Zones virtualization on the T4-4 compute nodes, a modified version of Solaris 11 in the ZFS Storage Appliance, a modified and highly tuned version of Oracle Linux running Exadata software on the Storage Cells, another Linux derivative in the Infiniband switches, etc. It has an Infiniband data network between the components, a 10Gb data network to the outside world, and a 1Gb management network. And customers can run whatever middleware and apps they want on it, clustered in whatever way they want. In one word, powerful.  In another, complex. The system is highly Engineered.  But it's designed to run general purpose applications. That is, the physical components, configuration, cabling, virtualization technologies, switches, firmware, Operating System versions, network protocols, tunables, etc. are all preset for optimum performance and robustness. That improves the customer experience as what the customer runs leverages our technical know-how and best practices and is what we've tested intensely within Oracle. It should also make debugging easier by fixing a large number of variables which would otherwise be in play if a customer or Systems Integrator had assembled such a complex system themselves from the constituent components.  For example, there's myriad network protocols which could be used with Infiniband.  Myriad ways the components could be interconnected, myriad tunable settings, etc. But what has really surprised me - and I've been working in this area for 15 years now - is just how much easier and faster Engineered Systems have made debugging and issue resolution. All those error opportunities for sub-optimal cabling, unusual network protocols, sub-optimal deployment of virtualization technologies, issues with 3rd party storage, issues with 3rd party multi-pathing products, etc., are simply taken out of the equation. All those error opportunities for making an issue unique to a particular set-up, the "why aren't we seeing this on any other system ?" type questions, the doubts, just go away when we or a customer discover an issue on an Engineered System. It enables a really honed response, getting to the root cause much, much faster than would otherwise be the case. Here's a couple of examples from the last month, one found in-house by my team, one found by a customer: Example 1: We found a node eviction issue running 11gR2 with Solaris 11 SRU 12 under extreme load on what we call our ExaLego test system (mimics an Exadata / SuperCluster 11gR2 Exadata Storage Cell set-up).  We quickly established that an enhancement in SRU12 enabled an 11gR2 process to query Infiniband's Subnet Manager, replacing a fallback mechanism it had used previously.  Under abnormally heavy load, the query could return results which were misinterpreted resulting in node eviction.  In several daily joint debugging sessions between the Solaris, Infiniband, and 11gR2 teams, the issue was fully root caused, evaluated, and a fix agreed upon.  That fix went back into all Solaris releases the following Monday.  From initial issue discovery to the fix being put back into all Solaris releases was just 10 days. Example 2: A customer reported sporadic performance degradation.  The reasons were unclear and the information sparse.  The SPARC SuperCluster Engineered Systems support teams which comprises both SPARC/Solaris and Database/Exadata experts worked to root cause the issue.  A number of contributing factors were discovered, including tunable parameters.  An intense collaborative investigation between the engineering teams identified the root cause to a CPU bound networking thread which was being starved of CPU cycles under extreme load.  Workarounds were identified.  Modifications have been put back into 11gR2 to alleviate the issue and a development project already underway within Solaris has been sped up to provide the final resolution on the Solaris side.  The fixed SPARC SuperCluster configuration greatly aided issue reproduction and dramatically sped up root cause analysis, allowing the correct workarounds and fixes to be identified, prioritized, and implemented.  The customer is now extremely happy with performance and robustness.  Since the configuration is common to other customers, the lessons learned are being proactively rolled out to other customers and incorporated into the installation procedures for future customers.  This effectively acts as a turbo-boost to performance and reliability for all SPARC SuperCluster customers.  If this had occurred in a "home grown" system of this complexity, I expect it would have taken at least 6 months to get to the bottom of the issue.  But because it was an Engineered System, known, understood, and qualified by both the Solaris and Database teams, we were able to collaborate closely to identify cause and effect and expedite a solution for the customer.  That is a key advantage of Engineered Systems which should not be underestimated.  Indeed, the initial issue mitigation on the Database side followed by final fix on the Solaris side, highlights the high degree of collaboration and excellent teamwork between the Oracle engineering teams.  It's a compelling advantage of the integrated Oracle Red Stack in general and Engineered Systems in particular.

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  • Invitation to the Oracle EDGE Applications Partner Roadshow

    - by Hartmut Wiese
    Normal 0 false false false EN-US X-NONE X-NONE MicrosoftInternetExplorer4 This is a unique opportunity for any Oracle Alliance & Channel Managers & their Partners to connect with the Oracle Edge Sales and Management Team to understand the relevance and value of the entire Oracle Edge Portfolio of Applications in solving complex customer issues and supporting a variety of evolving Partner Go-To-Market business models. Oracle Edge Applications (PLM, VCE, VCP, MDM, GRC, OPA) With strong participation from the key Oracle Edge Applications Sales business leaders, attendees will get the opportunity to hear about the benefits of the Oracle Edge Solutions within three different value-added contexts: Value 1: Oracle Edge Application Strategy Value 2: Oracle Value Chain Transformation Vision Value 3: Individual Application Business Line Differentiators Following on from the morning presentations, Oracle Partners will also get the opportunity in the afternoon to challenge and discuss the value of Oracle Edge Applications in the context of their own Go-To-Market business models. These sensitive discussions will be managed via focused 1-2-1 breakout meetings with the relevant Oracle Edge Applications Sales Business Leaders. Normal 0 false false false EN-US X-NONE X-NONE MicrosoftInternetExplorer4 /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin:0cm; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;} When Where To Register Tuesday, July 09th 2013 09 am to 04 pm Utrecht Register now Tuesday, July 16th 2013 09 am to 04 pm London Register now Wednesday, August 28th 2013 09 am to 04 pm Paris Register now IIMPORTANT NOTE: ONLY 60 ATTENDEE PLACES AVAILABLE PER LOCATION - BOOK NOW TO AVOID MISSING OUT. Normal 0 false false false EN-US X-NONE X-NONE MicrosoftInternetExplorer4 /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin:0cm; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;} There is a strict limit to the number of people who can attend this event based on site logistics for the day. Please note that Partners will be given priority over Oracle personnel registrations. Partners however may only register a maximum of 2 personnel from their company plus the supporting local Oracle Alliance & Channel Manager /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin:0cm; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;}

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  • More Maintenance Plan Weirdness

    - by AjarnMark
    I’m not a big fan of the built-in Maintenance Plan functionality in SQL Server.  I like the interface in SQL 2005 better than 2000 (it looks more like building an SSIS package) but it’s still a bit of a black box.  You don’t really know what commands are being run based on the selections you have made, and you can easily make some unwise choices without realizing it, such as shrinking your database on a regular basis.  I really prefer to know exactly what commands and with which options are being run on my servers. Recently I had another very strange thing happen with a Maintenance Plan, this time in SQL 2005, SP3.  I inherited this server and have done a bit of cleanup on it, but had not yet gotten around to replacing the Maintenance Plans with all my own scripts.  However, one of the maintenance plans which was just responsible for doing LOG backups was running more frequently than that system needed, and I thought I would just tweak the schedule a bit.  So I opened the Maintenance Plan and edited the properties of the Subplan, setting a new schedule, saved it and figured all was good to go.  But the next execution of the Scheduled Job that triggers the Maintenance Plan code failed with an error about the Owner of the job.  Specifically the error was, “Unable to determine if the owner (OldDomain\OldDBAUserID) of job MaintenancePlanName.Subplan has server access (reason: Could not obtain information about Windows NT group/user 'OldDomain\OldDBAUserID’..”  I was really confused because I had previously updated all of the jobs to have current accounts as the owners.  At first I thought it was just a fluke, but it happened on the next scheduled cycle so I investigated further and sure enough, that job had the old DBA’s account listed as the owner.  I fixed it and the job successfully ran to completion. Now, I don’t really like mysteries like that, so I did some more testing and verified that, sure enough, just editing the Subplan schedule and saving the Maintenance Job caused the Scheduled Job to be recreated with the old credentials.  I don’t know where it is getting those credentials, but I can only assume that it is the same as the original creator of the Maintenance Plan, and for some reason it insists on using that ID for the job owner.  I looked through the options in SSMA and could not find anything would let me easily set the value that I wanted it to use.  I suspect that if I did something like executing sp_changeobjectowner against the Maintenance Plan that it would use that new ID instead.  I’m sure that there is good reason that it works this way, but rather than mess around with it much more, I’m just going to spend my time rolling out my replacement scripts instead. Chalk this little hidden oddity up as yet one more reason I’m not a fan of Maintenance Plans.

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  • Date Tracking in Oracle HRMS

    - by Manoj Madhusoodanan
    Update Date Track Modes To maintain employee data effectively Oracle HCM is using a mechanism called date tracking.The main motive behind the date track mode is to maintain past,present and future data effectively.The various update date track modes are: CORRECTION : Over writes the data. No history will maintain.UPDATE : Keeps the history and new change will effect as of effective dateUPDATE_CHANGE_INSERT : Inserts the record and preserves the futureUPDATE_OVERRIDE : Inserts the record and overrides the future Normal 0 false false false EN-US X-NONE X-NONE MicrosoftInternetExplorer4 /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat: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:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;} Action: Created Employee # 22 on 01-JAN-2012 The record in PER_ALL_PEOPLE_F is as shown below. Effective Start Date Effective End Date Employee Number Marital Status Object Version Number 01-JAN-2012 31-DEC-4712 24 2 Action: Updated record in CORRECTION mode Effective Start Date Effective End Date Employee Number Marital Status Object Version Number 01-JAN-2012 31-DEC-4712 24 Single 3 Action: Updated record in UPDATE mode effective 01-JUN-2012 and Marital Status = Married Effective Start Date Effective End Date Employee Number Marital Status Object Version Number 01-JAN-2012 31-MAY-2012 24 Single 4 01-JUN-2012 31-DEC-4712 24 Married 5 Action: Updated record in UPDATE mode effective 01-SEP-2012 and Marital Status = Divorced Effective Start Date Effective End Date Employee Number Marital Status Object Version Number 01-JAN-2012 31-MAY-2012 24 Single 4 01-JUN-2012 31-AUG-2012 24 Married 6 01-SEP-2012 31-DEC-4712 24 Divorced 7 Action: Updated record in UPDATE_CHANGE_INSERT mode effective 01-MAR-2012 and Marital Status = Living Together Effective Start Date Effective End Date Employee Number Marital Status Object Version Number 01-JAN-2012 29-FEB-2012 24 Single 8 01-MAR-2012 31-MAY-2012 24 Living Together 9 01-JUN-2012 31-AUG-2012 24 Married 6 01-SEP-2012 31-DEC-4712 24 Divorced 7 Action: Updated record in UPDATE_OVERRIDE mode effective 01-AUG-2012 and Marital Status = Divorced Effective Start Date Effective End Date Employee Number Marital Status Object Version Number 01-JAN-2012 29-FEB-2012 24 Single 8 01-MAR-2012 31-MAY-2012 24 Living Together 9 01-JUN-2012 31-JUL-2012 24 Married 10 01-AUG-2012 31-DEC-4712 24 Divorced 11  Delete Date Track Modes The various delete date track modes are ZAP : wipes all recordsDELETE : Deletes  current recordFUTURE_CHANGE : Deletes current and future changes.DELETE_NEXT_CHANGE : Deletes next change Normal 0 false false false EN-US X-NONE X-NONE MicrosoftInternetExplorer4 /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat: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:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;} Element Entry records are shown below. Effective Start Date Effective End Date Element Entry Id Object Version Number 01-JAN-2012 12-OCT-2012 129831 3 13-OCT-2012 19-OCT-2012 129831 5 20-OCT-2012 31-DEC-4712 129831 6 Action: Delete record in ZAP mode effective 14-JAN-2012 No rows Action: Delete record in DELETE mode effective 14-OCT-2012 Effective Start Date Effective End Date Element Entry Id Object Version Number 01-JAN-2012 12-OCT-2012 129831 3 13-OCT-2012 14-OCT-2012 129831 6 Action: Delete record in FUTURE_CHANGE mode effective 14-JAN-2012 Effective Start Date Effective End Date Element Entry Id Object Version Number 01-JAN-2012 31-DEC-4712 129831 4 Action: Delete record in NEXT_CHANGE mode effective 14-JAN-2012 Effective Start Date Effective End Date Element Entry Id Object Version Number 01-JAN-2012 19-OCT-2012 129831 4 20-OCT-2012 31-DEC-4712 129831 6

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  • When was sys.dm_os_wait_stats last cleared?

    - by SQLOS Team
    The sys.dm_os_wait_stats DMV provides essential metrics for diagnosing SQL Server performance problems. Returning incrementally accumulating information about all the completed waits encountered by executing threads it is a useful way to identify bottlenecks such as IO latency issues or waits on locks. The counters are reset each time SQL server is restarted, or when the following command is run: DBCC SQLPERF ('sys.dm_os_wait_stats', CLEAR); To make sense out of these wait values you need to know how they change over time. Suppose you are asked to troubleshoot a system and you don't know when the wait stats were last zeroed. Is there any way to find the elapsed time since this happened? If the wait stats were not cleared using the DBCC SQLPERF command then you can simply correlate the stats with the time SQL Server was started using the sqlserver_start_time column introduced in SQL Server 2008 R2: SELECT sqlserver_start_time from sys.dm_os_sys_info However how do you tell if someone has run DBCC SQLPERF ('sys.dm_os_wait_stats', CLEAR) since the server was started, and if they did, when? Without this information the initial, or historical, wait_stats have less value until you can measure deltas over time. There is a way to at least estimate when the stats were last cleared, by using the wait stats themselves and choosing a thread that spends most of its time sleeping. A good candidate is the SQL Trace incremental flush task, which mostly sleeps (in 4 second intervals) and in between it attempts to flush (if there are new events – which is rare when only default trace is running) – so it pretty much sleeps all the time. Hence the time it has spent waiting is very close to the elapsed time since the counter was reset. Credit goes to Ivan Penkov in the SQLOS dev team for suggesting this. Here's an example (excuse formatting): 144 seconds after the server was started: select top 10 wait_type, wait_time_ms from sys.dm_os_wait_stats order by wait_time_ms desc wait_type                                                               wait_time_ms--------------------------------------------------------------------------------------------------------------- XE_DISPATCHER_WAIT                                      242273LAZYWRITER_SLEEP                                          146010LOGMGR_QUEUE                                                145412DIRTY_PAGE_POLL                                             145411XE_TIMER_EVENT                                               145216REQUEST_FOR_DEADLOCK_SEARCH             145194SQLTRACE_INCREMENTAL_FLUSH_SLEEP    144325SLEEP_TASK                                                        73359BROKER_TO_FLUSH                                           73113PREEMPTIVE_OS_AUTHENTICATIONOPS       143 (10 rows affected) Reset: DBCC SQLPERF('sys.dm_os_wait_stats', CLEAR)" DBCC execution completed. If DBCC printed error messages, contact your system administrator. After 8 seconds: select top 10 wait_type, wait_time_ms from sys.dm_os_wait_stats order by wait_time_ms desc wait_type                                                                 wait_time_ms--------------------------------------------------------------------------------------------------------------------- REQUEST_FOR_DEADLOCK_SEARCH              10013LAZYWRITER_SLEEP                                           8124SQLTRACE_INCREMENTAL_FLUSH_SLEEP     8017LOGMGR_QUEUE                                                 7579DIRTY_PAGE_POLL                                              7532XE_TIMER_EVENT                                                5007BROKER_TO_FLUSH                                            4118SLEEP_TASK                                                         3089PREEMPTIVE_OS_AUTHENTICATIONOPS        28SOS_SCHEDULER_YIELD                                   27 (10 rows affected)   After 12 seconds: select top 10 wait_type, wait_time_ms from sys.dm_os_wait_stats order by wait_time_ms desc wait_type                                                                  wait_time_ms------------------------------------------------------------------------------------------------------ REQUEST_FOR_DEADLOCK_SEARCH               15020LAZYWRITER_SLEEP                                            14206LOGMGR_QUEUE                                                  14036DIRTY_PAGE_POLL                                               13973SQLTRACE_INCREMENTAL_FLUSH_SLEEP      12026XE_TIMER_EVENT                                                 10014SLEEP_TASK                                                          7207BROKER_TO_FLUSH                                             7207PREEMPTIVE_OS_AUTHENTICATIONOPS         57SOS_SCHEDULER_YIELD                                     28 (10 rows affected) It may not be accurate to the millisecond, but it can provide a useful data point, and give an indication whether the wait stats were manually cleared after startup, and if so approximately when. - Guy     Originally posted at http://blogs.msdn.com/b/sqlosteam/

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  • OBIA on Teradata - Part 1 Loader and Monitoring

    - by Mohan Ramanuja
    Normal 0 false false false EN-US X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat: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:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;} The out-of-the-box (OOB) OBIA Informatica mappings come with TPump loader.   TPUMP  FASTLOAD TPump does not lock the table. FastLoad applies exclusive lock on the table. The table that TPump is loading can have data. The table that FastLoad is loading needs to be empty. Normal 0 false false false EN-US X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat: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:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;} TPump is not efficient with lookups. FastLoad is more efficient in the absence of lookups. Normal 0 false false false EN-US X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat: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:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;} The out-of the box Informatica mappings come with TPump loader. There is chance for bottleneck in writer thread The out-of the box tables in Teradata supplied with OBAW features all Dimension and Fact tables using ROW_WID as the key for primary index. Also, all staging tables use integration_id as the key for primary index. This reduces skewing of data across Teradata AMPs.You can use an SQL statement similar to the following to determine if data for a given table is distributed evenly across all AMP vprocs. The SQL statement displays the AMP with the most used through the AMP with the least-used space, investigating data distribution in the Message table in database RST.SELECT vproc,CurrentPermFROM DBC.TableSizeWHERE Databasename = ‘PRJ_CRM_STGC’AND Tablename = ‘w_party_per_d’ORDER BY 2 descIf you suspect distribution problems (skewing) among AMPS, the following is a sample of what you might enter for a three-column PI:SELECT HASHAMP (HASHBUCKET (HASHROW (col_x, col_y, col_z))), count (*)FROM hash15GROUP BY 1ORDER BY 2 desc; ETL Error Monitoring Error Table – These are tables that start with ET. Location and name can be specified in Informatica session as well as the loader connection.Loader Log – Loader log is available in the Informatica server under the session log folder. These give feedback on the loader parameters such as Packing Factor to use. These however need to be monitored in the production environment. The recommendations made in one environment may not be used in another environment.Log Table – These are tables that start with TL. These are sparse on information.Bad File – This is the Informatica file generated in case there is data quality issues

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  • Which of Your Stored Procedures are Using the Most Resources?

    Dynamic Management Views and Functions aren't always easy to understand. However, they are the easiest way of finding out which of your stored procedures are using up the most resources. Greg takes the time to explain how and why these DMVs and DMFs get their information. Suddenly, it all gets clearer. Join SQL Backup’s 35,000+ customers to compress and strengthen your backups "SQL Backup will be a REAL boost to any DBA lucky enough to use it." Jonathan Allen. Download a free trial now.

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  • LINQ Lycanthropy: Transformations into LINQ

    LINQ is one of the few technologies that you can start to use without a lot of preliminary learning. Also, it lends itself to learning by trying out examples. With Michael Sorens' help, you can watch as your conventional C# code changes to ravenous LINQ before your very eyes. Join SQL Backup’s 35,000+ customers to compress and strengthen your backups "SQL Backup will be a REAL boost to any DBA lucky enough to use it." Jonathan Allen. Download a free trial now.

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  • StreamInsight 2.1, meet LINQ

    - by Roman Schindlauer
    Someone recently called LINQ “magic” in my hearing. I leapt to LINQ’s defense immediately. Turns out some people don’t realize “magic” is can be a pejorative term. I thought LINQ needed demystification. Here’s your best demystification resource: http://blogs.msdn.com/b/mattwar/archive/2008/11/18/linq-links.aspx. I won’t repeat much of what Matt Warren says in his excellent series, but will talk about some core ideas and how they affect the 2.1 release of StreamInsight. Let’s tell the story of a LINQ query. Compile time It begins with some code: IQueryable<Product> products = ...; var query = from p in products             where p.Name == "Widget"             select p.ProductID; foreach (int id in query) {     ... When the code is compiled, the C# compiler (among other things) de-sugars the query expression (see C# spec section 7.16): ... var query = products.Where(p => p.Name == "Widget").Select(p => p.ProductID); ... Overload resolution subsequently binds the Queryable.Where<Product> and Queryable.Select<Product, int> extension methods (see C# spec sections 7.5 and 7.6.5). After overload resolution, the compiler knows something interesting about the anonymous functions (lambda syntax) in the de-sugared code: they must be converted to expression trees, i.e.,“an object structure that represents the structure of the anonymous function itself” (see C# spec section 6.5). The conversion is equivalent to the following rewrite: ... var prm1 = Expression.Parameter(typeof(Product), "p"); var prm2 = Expression.Parameter(typeof(Product), "p"); var query = Queryable.Select<Product, int>(     Queryable.Where<Product>(         products,         Expression.Lambda<Func<Product, bool>>(Expression.Property(prm1, "Name"), prm1)),         Expression.Lambda<Func<Product, int>>(Expression.Property(prm2, "ProductID"), prm2)); ... If the “products” expression had type IEnumerable<Product>, the compiler would have chosen the Enumerable.Where and Enumerable.Select extension methods instead, in which case the anonymous functions would have been converted to delegates. At this point, we’ve reduced the LINQ query to familiar code that will compile in C# 2.0. (Note that I’m using C# snippets to illustrate transformations that occur in the compiler, not to suggest a viable compiler design!) Runtime When the above program is executed, the Queryable.Where method is invoked. It takes two arguments. The first is an IQueryable<> instance that exposes an Expression property and a Provider property. The second is an expression tree. The Queryable.Where method implementation looks something like this: public static IQueryable<T> Where<T>(this IQueryable<T> source, Expression<Func<T, bool>> predicate) {     return source.Provider.CreateQuery<T>(     Expression.Call(this method, source.Expression, Expression.Quote(predicate))); } Notice that the method is really just composing a new expression tree that calls itself with arguments derived from the source and predicate arguments. Also notice that the query object returned from the method is associated with the same provider as the source query. By invoking operator methods, we’re constructing an expression tree that describes a query. Interestingly, the compiler and operator methods are colluding to construct a query expression tree. The important takeaway is that expression trees are built in one of two ways: (1) by the compiler when it sees an anonymous function that needs to be converted to an expression tree, and; (2) by a query operator method that constructs a new queryable object with an expression tree rooted in a call to the operator method (self-referential). Next we hit the foreach block. At this point, the power of LINQ queries becomes apparent. The provider is able to determine how the query expression tree is evaluated! The code that began our story was intentionally vague about the definition of the “products” collection. Maybe it is a queryable in-memory collection of products: var products = new[]     { new Product { Name = "Widget", ProductID = 1 } }.AsQueryable(); The in-memory LINQ provider works by rewriting Queryable method calls to Enumerable method calls in the query expression tree. It then compiles the expression tree and evaluates it. It should be mentioned that the provider does not blindly rewrite all Queryable calls. It only rewrites a call when its arguments have been rewritten in a way that introduces a type mismatch, e.g. the first argument to Queryable.Where<Product> being rewritten as an expression of type IEnumerable<Product> from IQueryable<Product>. The type mismatch is triggered initially by a “leaf” expression like the one associated with the AsQueryable query: when the provider recognizes one of its own leaf expressions, it replaces the expression with the original IEnumerable<> constant expression. I like to think of this rewrite process as “type irritation” because the rewritten leaf expression is like a foreign body that triggers an immune response (further rewrites) in the tree. The technique ensures that only those portions of the expression tree constructed by a particular provider are rewritten by that provider: no type irritation, no rewrite. Let’s consider the behavior of an alternative LINQ provider. If “products” is a collection created by a LINQ to SQL provider: var products = new NorthwindDataContext().Products; the provider rewrites the expression tree as a SQL query that is then evaluated by your favorite RDBMS. The predicate may ultimately be evaluated using an index! In this example, the expression associated with the Products property is the “leaf” expression. StreamInsight 2.1 For the in-memory LINQ to Objects provider, a leaf is an in-memory collection. For LINQ to SQL, a leaf is a table or view. When defining a “process” in StreamInsight 2.1, what is a leaf? To StreamInsight a leaf is logic: an adapter, a sequence, or even a query targeting an entirely different LINQ provider! How do we represent the logic? Remember that a standing query may outlive the client that provisioned it. A reference to a sequence object in the client application is therefore not terribly useful. But if we instead represent the code constructing the sequence as an expression, we can host the sequence in the server: using (var server = Server.Connect(...)) {     var app = server.Applications["my application"];     var source = app.DefineObservable(() => Observable.Range(0, 10, Scheduler.NewThread));     var query = from i in source where i % 2 == 0 select i; } Example 1: defining a source and composing a query Let’s look in more detail at what’s happening in example 1. We first connect to the remote server and retrieve an existing app. Next, we define a simple Reactive sequence using the Observable.Range method. Notice that the call to the Range method is in the body of an anonymous function. This is important because it means the source sequence definition is in the form of an expression, rather than simply an opaque reference to an IObservable<int> object. The variation in Example 2 fails. Although it looks similar, the sequence is now a reference to an in-memory observable collection: var local = Observable.Range(0, 10, Scheduler.NewThread); var source = app.DefineObservable(() => local); // can’t serialize ‘local’! Example 2: error referencing unserializable local object The Define* methods support definitions of operator tree leaves that target the StreamInsight server. These methods all have the same basic structure. The definition argument is a lambda expression taking between 0 and 16 arguments and returning a source or sink. The method returns a proxy for the source or sink that can then be used for the usual style of LINQ query composition. The “define” methods exploit the compile-time C# feature that converts anonymous functions into translatable expression trees! Query composition exploits the runtime pattern that allows expression trees to be constructed by operators taking queryable and expression (Expression<>) arguments. The practical upshot: once you’ve Defined a source, you can compose LINQ queries in the familiar way using query expressions and operator combinators. Notably, queries can be composed using pull-sequences (LINQ to Objects IQueryable<> inputs), push sequences (Reactive IQbservable<> inputs), and temporal sequences (StreamInsight IQStreamable<> inputs). You can even construct processes that span these three domains using “bridge” method overloads (ToEnumerable, ToObservable and To*Streamable). Finally, the targeted rewrite via type irritation pattern is used to ensure that StreamInsight computations can leverage other LINQ providers as well. Consider the following example (this example depends on Interactive Extensions): var source = app.DefineEnumerable((int id) =>     EnumerableEx.Using(() =>         new NorthwindDataContext(), context =>             from p in context.Products             where p.ProductID == id             select p.ProductName)); Within the definition, StreamInsight has no reason to suspect that it ‘owns’ the Queryable.Where and Queryable.Select calls, and it can therefore defer to LINQ to SQL! Let’s use this source in the context of a StreamInsight process: var sink = app.DefineObserver(() => Observer.Create<string>(Console.WriteLine)); var query = from name in source(1).ToObservable()             where name == "Widget"             select name; using (query.Bind(sink).Run("process")) {     ... } When we run the binding, the source portion which filters on product ID and projects the product name is evaluated by SQL Server. Outside of the definition, responsibility for evaluation shifts to the StreamInsight server where we create a bridge to the Reactive Framework (using ToObservable) and evaluate an additional predicate. It’s incredibly easy to define computations that span multiple domains using these new features in StreamInsight 2.1! Regards, The StreamInsight Team

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  • How to Create Effective Error Reports

    - by John Paul Cook
    This post demonstrates some generic problem reporting steps that I encourage all users, whether developers or nontechnical end users, to follow. SQL Server has a feature that can help. So does Windows in some cases. More on those in Step 3. Step 1: Is the problem caused by a particular action undertaken on a gui? If so, you should get a screen capture. But if it is caused by executing some T-SQL code in a query window, just copy/paste the offending code as text. There are several ways to get a screen...(read more)

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  • Meet @marcorus and @ferrarialberto at TechEd Europe 2012 #tee2012

    - by Marco Russo (SQLBI)
    I and Alberto are in Amsterdam this week at TechEd Europe 2012. If you are here at the conference, you can meet us here: Wed, Jun 27 10:15 AM - 11:30 AM – Room G106 DBI319 - BISM: Multidimensional vs. Tabular Wed, Jun 27 02:15 PM – 02:30 PM – Microsoft Press Booth in the TechExpo area PowerPivot for Excel 2010 Book Signing Thu, Jun 28 8:30 AM - 9:45 AM – Room E107 Many-to-Many Relationships in BISM Tabular Fri, Jun 29 1:00 PM - 2:45 PM – Breakthrough Insight at Microsoft SQL Server Booth – TechExpo area Staff and Q&A We’ll try to visit the Microsoft Booth very often and we’ll be in the area Breakthrough Insight of SQL Server zone (see the picture to identify it). And don’t miss the PowerPivot for Excel 2010 book signing event:

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  • Existing Instance, Shiny New Disks

    - by merrillaldrich
    Migrating an Instance of SQL Server to New Disks I get to do something pretty entertaining this week – migrate SQL instances on a 2008 cluster from one disk array to another! Zut alors! I am so excited I can hardly contain myself, so let’s get started. (Only a DBA could love this stuff, am I right? I know.) Anyway, here’s one method of many to migrate your data. Assumption : this is a host-based migration, which just means I’m using the Windows file system to push the data from one set of SAN disks...(read more)

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  • Did You Know: What do you know that isn't so?

    - by Kalen Delaney
    You know what they say… it's not what you don't know that will hurt you, it's what you know that isn't so! In other words, your misconceptions. Or, as Paul Nielson calls them in his SQL Server Bible … MYTHconceptions. Some misconceptions come from misunderstanding of complex information, or from misinterpreting your own results, and assuming we can generalize behavior from one particular situation. Since I teach advanced classes to students with lots of SQL Server experience, I actually see a lot...(read more)

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  • The case against INFORMATION_SCHEMA views

    - by AaronBertrand
    In SQL Server 2000, INFORMATION_SCHEMA was the way I derived all of my metadata information - table names, procedure names, column names and data types, relationships... the list goes on and on. I used the system tables like sysindexes from time to time, but I tried to stay away from them when I could. In SQL Server 2005, this all changed with the introduction of catalog views. For one thing, they're a lot easier to type. sys.tables vs. INFORMATION_SCHEMA.TABLES? Come on; no contest there - even...(read more)

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  • XEN 4.1 missing from the Grub Menu

    - by Sid
    I installed Xen with following Commands. apt-get install xen-hypervisor-4.1-i386 apt-get install xen-utils-4.1 apt-get install xenwatch apt-get install xen-tools apt-get install xen-utils-common apt-get install xenstore-utils apt-get install virtinst apt-get install virt-viewer apt-get install virt-manager as given in http://www.beyondlinux.com/2011/11/02/install-xen-4-1-and-setup-your-cloud-os-on-ubuntu-11-10/ But I cant see any entry for Xen 4.1 in my GRUB Menu upon reboot. (As soon as I install above listed packages) Any solution? Please Help

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  • Point-in-time restore of database backup?

    - by TiborKaraszi
    SQL Server 2005 added the STOPAT option for the RESTORE DATABASE command. This sounds great - we can stop at some point in time during the database backup process was running! Or? No, we can't. Here follows some tech stuff why not, and then what the option is really meant for: A database backup includes all used extents and also all log records that were produced while the backup process was running (possibly older as well, to handle open transactions). When you restore such a backup, SQL Server...(read more)

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  • Power View Infrastructure Configuration and Installation: Step-by-Step and Scripts

    This document contains step-by-step instructions for installing and testing the Microsoft Business Intelligence infrastructure based on SQL Server 2012 and SharePoint 2010, focused on SQL Server 2012 Reporting Services with Power View. This document describes how to completely install the following scenarios: a standalone instance of SharePoint and Power View with all required components; a new SharePoint farm with the Power View infrastructure; a server with the Power View infrastructure joined to an existing SharePoint farm; installation on a separate computer of client tools; installation of a tabular instance of Analysis Services on a separate instance; and configuration of single sign-on access for double-hop scenarios with and without Kerberos. Scripts are provided for all/most scenarios.

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  • With Its MySQL Database-as-a-Service CERN Empowers Scientists

    - by Bertrand Matthelié
    The European Organization for Nuclear Research (CERN) is one of the world’s largest and most respected centers for scientific research. Founded in 1954 and located near Geneva on the Franco-Swiss border, CERN was one of Europe’s first joint ventures. Today, it has 20 member states. The organization uses the world’s largest and most complex scientific instruments to study fundamental particles and the origin of the universe. Normal 0 false false false EN-US X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin:0cm; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Cambria","serif"; mso-ascii-font-family:Cambria; mso-ascii-theme-font:minor-latin; mso-hansi-font-family:Cambria; mso-hansi-theme-font:minor-latin;} Normal 0 false false false EN-US X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin:0cm; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Cambria","serif"; mso-ascii-font-family:Cambria; mso-ascii-theme-font:minor-latin; mso-hansi-font-family:Cambria; mso-hansi-theme-font:minor-latin;} Challenges Better support the scientists associated with a CERN research program who selected MySQL as their database. Empower users, enabling them to be as self-reliant as possible. Minimize complexity and costs for the CERN IT department to support the growing number of MySQL deployments. Solution Delivered a MySQL Database-as-a-Service offering to the CERN employees and the scientists associated with the organization. Allowed researchers selecting MySQL for their project to get access to a database instance hosted by the CERN IT department, either from the start or once their application has become critical. Implemented the service using Oracle’s server virtualization software, Oracle VM, for increased flexibility and reduced costs. Empowered users with a self-service approach, providing them with tools to manage MySQL themselves while handling backups and other basic database administration tasks for them. Enabled scientists to rely on MySQL with increased reliability, security and manageability while reducing complexity and minimizing costs. Normal 0 false false false EN-US X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin:0cm; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Cambria","serif"; mso-ascii-font-family:Cambria; mso-ascii-theme-font:minor-latin; mso-hansi-font-family:Cambria; mso-hansi-theme-font:minor-latin;} "The Cloud model has allowed us to deliver a self-service platform to our MySQL users, empowering them while minimizing costs for CERN." Tony Cass, Database Services Group Leader, IT department, CERN.

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  • The ETL from Hell - Diagnosing Batch System Performance Issues

    Too often, the batch systems that underlie a lot of database processing just grow without conscious design. When runs start to extend beyond their allotted time, and tuning no longer solves the problem, it is often discovered that batches are run in series, with draconian error handling. It is time to impose some rational design, and Nigel is a seasoned healer of batch processes. The seven tools in the SQL DBA Bundle support your core SQL Server database administration tasks.Make backups a breeze! Enjoy trouble-free troubleshooting! Make the most of monitoring! Download a free trial now.

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  • The Next Frontier: Java Embedded @ JavaOne

    - by Kristin Rose
    Normal 0 false false false EN-US X-NONE X-NONE MicrosoftInternetExplorer4 /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat: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:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;} Now more than ever, the Java platform is the best technology for many embedded use cases. Java’s platform independence, high level of functionality, security, and developer productivity, address the key pain points in building embedded solutions... and that’s not just our opinion. Take a look at the new IDC report on Oracle’s stewardship of Java, “Java: Two and a half Years After the Acquisition” (doc #236309, August 2012). Java already powers around 3 billion devices worldwide, with traditional desktops and servers being only a small portion of that, and the ‘Internet of Things‘ is just really starting to explode. It is estimated that within five years, intelligent and connected embedded devices will outnumber desktops and mobile phones combined, and will generate the majority of the traffic on the Internet. Is your platform and services strategy ready for the coming disruptions and opportunities? It should come as no surprise that Oracle is enthusiastically focused on Java for Embedded .  New this year, Oracle is demonstrating its further commitment to the embedded marketplace by offering, for the first time, a dedicated conference focused on the business aspects of embedded Java: Java Embedded @ JavaOne. Co-located with the technically-focused JavaOne conference, Java Embedded @ JavaOne will run for two days in San Francisco targeting C-level executives, architects, business leaders, and decision makers. With 24 inspired business sessions with expert speakers from 18 prominent companies driving the next generation of Java Embedded business solutions (such as Cinterion, ARM, Hitachi and Rockwell Automation), attendees will learn how Java Embedded technologies and solutions can offer compelling value and a clear path forward to business efficiency and agility. You’ll also see how Oracle’s comprehensive technology portfolio can deliver a complete ‘Machine to Machine’ platform, from device to datacenter, resulting in a highly secure, resilient, high-performance and cost-effective solution. Seating is limited and we expect a lot of interest in this new event, so please register now! Note that if you are already attending the Oracle OpenWorld or JavaOne conferences, you can attend this conference for only $100 more. Watch my video below to find out more. I hope to see you there! Judson Althoff SVP of WWA&C Normal 0 false false false EN-US X-NONE X-NONE MicrosoftInternetExplorer4 /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat: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:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;} Normal 0 false false false EN-US X-NONE X-NONE MicrosoftInternetExplorer4 /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat: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:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;}

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  • Meet @marcorus and @ferrarialberto at TechEd Europe 2012 #tee2012

    - by Marco Russo (SQLBI)
    I and Alberto are in Amsterdam this week at TechEd Europe 2012. If you are here at the conference, you can meet us here: Wed, Jun 27 10:15 AM - 11:30 AM – Room G106 DBI319 - BISM: Multidimensional vs. Tabular Wed, Jun 27 02:15 PM – 02:30 PM – Microsoft Press Booth in the TechExpo area PowerPivot for Excel 2010 Book Signing Thu, Jun 28 8:30 AM - 9:45 AM – Room E107 Many-to-Many Relationships in BISM Tabular Fri, Jun 29 1:00 PM - 2:45 PM – Breakthrough Insight at Microsoft SQL Server Booth – TechExpo area Staff and Q&A We’ll try to visit the Microsoft Booth very often and we’ll be in the area Breakthrough Insight of SQL Server zone (see the picture to identify it). And don’t miss the PowerPivot for Excel 2010 book signing event:

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  • Using Unity – Part 4

    - by nmarun
    In this part, I’ll be discussing about constructor and property or setter injection. I’ve created a new class – Product3: 1: public class Product3 : IProduct 2: { 3: public string Name { get; set; } 4: [Dependency] 5: public IDistributor Distributor { get; set; } 6: public ILogger Logger { get; set; } 7:  8: public Product3(ILogger logger) 9: { 10: Logger = logger; 11: Name = "Product 1"; 12: } 13:  14: public string WriteProductDetails() 15: { 16: StringBuilder productDetails = new StringBuilder(); 17: productDetails.AppendFormat("{0}<br/>", Name); 18: productDetails.AppendFormat("{0}<br/>", Logger.WriteLog()); 19: productDetails.AppendFormat("{0}<br/>", Distributor.WriteDistributorDetails()); 20: return productDetails.ToString(); 21: } 22: } This version has a property of type IDistributor and takes a constructor parameter of type ILogger. The IDistributor property has a Dependency attribute (Microsoft.Practices.Unity namespace) applied to it. IDistributor and its implementation are shown below: 1: public interface IDistributor 2: { 3: string WriteDistributorDetails(); 4: } 5:  6: public class Distributor : IDistributor 7: { 8: public List<string> DistributorNames = new List<string>(); 9:  10: public Distributor() 11: { 12: DistributorNames.Add("Distributor1"); 13: DistributorNames.Add("Distributor2"); 14: DistributorNames.Add("Distributor3"); 15: DistributorNames.Add("Distributor4"); 16: } 17: public string WriteDistributorDetails() 18: { 19: StringBuilder distributors = new StringBuilder(); 20: for (int i = 0; i < DistributorNames.Count; i++) 21: { 22: distributors.AppendFormat("{0}<br/>", DistributorNames[i]); 23: } 24: return distributors.ToString(); 25: } 26: } ILogger and the FileLogger have the following definition: 1: public interface ILogger 2: { 3: string WriteLog(); 4: } 5:  6: public class FileLogger : ILogger 7: { 8: public string WriteLog() 9: { 10: return string.Format("Type: {0}", GetType()); 11: } 12: } The Unity container creates an instance of the dependent class (the Distributor class) within the scope of the target object (an instance of Product3 class that will be called by doing a Resolve<IProduct>() in the calling code) and assign this dependent object to the attributed property of the target object. To add to it, property injection is a form of optional injection of dependent objects.The dependent object instance is generated before the container returns the target object. Unlike constructor injection, you must apply the appropriate attribute in the target class to initiate property injection. Let’s see how to change the config file to make this work. The first step is to add all the type aliases: 1: <typeAlias alias="Product3" type="ProductModel.Product3, ProductModel"/> 2: <typeAlias alias="ILogger" type="ProductModel.ILogger, ProductModel"/> 3: <typeAlias alias="FileLogger" type="ProductModel.FileLogger, ProductModel"/> 4: <typeAlias alias="IDistributor" type="ProductModel.IDistributor, ProductModel"/> 5: <typeAlias alias="Distributor" type="ProductModel.Distributor, ProductModel"/> Now define mappings for these aliases: 1: <type type="ILogger" mapTo="FileLogger" /> 2: <type type="IDistributor" mapTo="Distributor" /> Next step is to define the constructor and property injection in the config file: 1: <type type="IProduct" mapTo="Product3" name="ComplexProduct"> 2: <typeConfig extensionType="Microsoft.Practices.Unity.Configuration.TypeInjectionElement, Microsoft.Practices.Unity.Configuration"> 3: <constructor> 4: <param name="logger" parameterType="ILogger" /> 5: </constructor> 6: <property name="Distributor" propertyType="IDistributor"> 7: <dependency /> 8: </property> 9: </typeConfig> 10: </type> There you see a constructor element that tells there’s a property named ‘logger’ that is of type ILogger. By default, the type of ILogger gets resolved to type FileLogger. There’s also a property named ‘Distributor’ which is of type IDistributor and which will get resolved to type Distributor. On the calling side, I’ve added a new button, whose click event does the following: 1: protected void InjectionButton_Click(object sender, EventArgs e) 2: { 3: unityContainer.RegisterType<IProduct, Product3>(); 4: IProduct product3 = unityContainer.Resolve<IProduct>(); 5: productDetailsLabel.Text = product3.WriteProductDetails(); 6: } This renders the following output: This completes the part for constructor and property injection. In the next blog, I’ll talk about Arrays and Generics. Please see the code used here.

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  • Learning PostgreSql: Embracing Change With Copying Types and VARCHAR(NO_SIZE_NEEDED)

    - by Alexander Kuznetsov
    PostgreSql 9.3 allows us to declare parameter types to match column types, aka Copying Types. Also it allows us to omit the length of VARCHAR fields, without any performance penalty. These two features make PostgreSql a great back end for agile development, because they make PL/PgSql more resilient to changes. Both features are not in SQL Server 2008 R2. I am not sure about later releases of SQL Server. Let us discuss them in more detail and see why they are so useful. Using Copying Types Suppose...(read more)

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