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  • Top 5 Developer Enabling Nuggets in MySQL 5.6

    - by Rob Young
    MySQL 5.6 is truly a better MySQL and reflects Oracle's commitment to the evolution of the most popular and widelyused open source database on the planet.  The feature-complete 5.6 release candidate was announced at MySQL Connect in late September and the production-ready, generally available ("GA") product should be available in early 2013.  While the message around 5.6 has been focused mainly on mass appeal, advanced topics like performance/scale, high availability, and self-healing replication clusters, MySQL 5.6 also provides many developer-friendly nuggets that are designed to enable those who are building the next generation of web-based and embedded applications and services. Boiling down the 5.6 feature set into a smaller set, of simple, easy to use goodies designed with developer agility in mind, these things deserve a quick look:Subquery Optimizations Using semi-JOINs and late materialization, the MySQL 5.6 Optimizer delivers greatly improved subquery performance. Specifically, the optimizer is now more efficient in handling subqueries in the FROM clause; materialization of subqueries in the FROM clause is now postponed until their contents are needed during execution. Additionally, the optimizer may add an index to derived tables during execution to speed up row retrieval. Internal tests run using the DBT-3 benchmark Query #13, shown below, demonstrate an order of magnitude improvement in execution times (from days to seconds) over previous versions. select c_name, c_custkey, o_orderkey, o_orderdate, o_totalprice, sum(l_quantity)from customer, orders, lineitemwhere o_orderkey in (                select l_orderkey                from lineitem                group by l_orderkey                having sum(l_quantity) > 313  )  and c_custkey = o_custkey  and o_orderkey = l_orderkeygroup by c_name, c_custkey, o_orderkey, o_orderdate, o_totalpriceorder by o_totalprice desc, o_orderdateLIMIT 100;What does this mean for developers?  For starters, simplified subqueries can now be coded instead of complex joins for cross table lookups: SELECT title FROM film WHERE film_id IN (SELECT film_id FROM film_actor GROUP BY film_id HAVING count(*) > 12); And even more importantly subqueries embedded in packaged applications no longer need to be re-written into joins.  This is good news for both ISVs and their customers who have access to the underlying queries and who have spent development cycles writing, testing and maintaining their own versions of re-written queries across updated versions of a packaged app.The details are in the MySQL 5.6 docs. Online DDL OperationsToday's web-based applications are designed to rapidly evolve and adapt to meet business and revenue-generationrequirements. As a result, development SLAs are now most often measured in minutes vs days or weeks. For example, when an application must quickly support new product lines or new products within existing product lines, the backend database schema must adapt in kind, and most commonly while the application remains available for normal business operations.  MySQL 5.6 supports this level of online schema flexibility and agility by providing the following new ALTER TABLE online DDL syntax additions:  CREATE INDEX DROP INDEX Change AUTO_INCREMENT value for a column ADD/DROP FOREIGN KEY Rename COLUMN Change ROW FORMAT, KEY_BLOCK_SIZE for a table Change COLUMN NULL, NOT_NULL Add, drop, reorder COLUMN Again, the details are in the MySQL 5.6 docs. Key-value access to InnoDB via Memcached APIMany of the next generation of web, cloud, social and mobile applications require fast operations against simple Key/Value pairs. At the same time, they must retain the ability to run complex queries against the same data, as well as ensure the data is protected with ACID guarantees. With the new NoSQL API for InnoDB, developers have allthe benefits of a transactional RDBMS, coupled with the performance capabilities of Key/Value store.MySQL 5.6 provides simple, key-value interaction with InnoDB data via the familiar Memcached API.  Implemented via a new Memcached daemon plug-in to mysqld, the new Memcached protocol is mapped directly to the native InnoDB API and enables developers to use existing Memcached clients to bypass the expense of query parsing and go directly to InnoDB data for lookups and transactional compliant updates.  The API makes it possible to re-use standard Memcached libraries and clients, while extending Memcached functionality by integrating a persistent, crash-safe, transactional database back-end.  The implementation is shown here:So does this option provide a performance benefit over SQL?  Internal performance benchmarks using a customized Java application and test harness show some very promising results with a 9X improvement in overall throughput for SET/INSERT operations:You can follow the InnoDB team blog for the methodology, implementation and internal test cases that generated these results here. How to get started with Memcached API to InnoDB is here. New Instrumentation in Performance SchemaThe MySQL Performance Schema was introduced in MySQL 5.5 and is designed to provide point in time metrics for key performance indicators.  MySQL 5.6 improves the Performance Schema in answer to the most common DBA and Developer problems.  New instrumentations include: Statements/Stages What are my most resource intensive queries? Where do they spend time? Table/Index I/O, Table Locks Which application tables/indexes cause the most load or contention? Users/Hosts/Accounts Which application users, hosts, accounts are consuming the most resources? Network I/O What is the network load like? How long do sessions idle? Summaries Aggregated statistics grouped by statement, thread, user, host, account or object. The MySQL 5.6 Performance Schema is now enabled by default in the my.cnf file with optimized and auto-tune settings that minimize overhead (< 5%, but mileage will vary), so using the Performance Schema ona production server to monitor the most common application use cases is less of an issue.  In addition, new atomic levels of instrumentation enable the capture of granular levels of resource consumption by users, hosts, accounts, applications, etc. for billing and chargeback purposes in cloud computing environments.The MySQL docs are an excellent resource for all that is available and that can be done with the 5.6 Performance Schema. Better Condition Handling - GET DIAGNOSTICSMySQL 5.6 enables developers to easily check for error conditions and code for exceptions by introducing the new MySQL Diagnostics Area and corresponding GET DIAGNOSTICS interface command. The Diagnostic Area can be populated via multiple options and provides 2 kinds of information:Statement - which provides affected row count and number of conditions that occurredCondition - which provides error codes and messages for all conditions that were returned by a previous operation The addressable items for each are: The new GET DIAGNOSTICS command provides a standard interface into the Diagnostics Area and can be used via the CLI or from within application code to easily retrieve and handle the results of the most recent statement execution.  An example of how it is used might be:mysql> DROP TABLE test.no_such_table; ERROR 1051 (42S02): Unknown table 'test.no_such_table' mysql> GET DIAGNOSTICS CONDITION 1 -> @p1 = RETURNED_SQLSTATE, @p2 = MESSAGE_TEXT; mysql> SELECT @p1, @p2; +-------+------------------------------------+| @p1   | @p2                                | +-------+------------------------------------+| 42S02 | Unknown table 'test.no_such_table' | +-------+------------------------------------+ Options for leveraging the MySQL Diagnotics Area and GET DIAGNOSTICS are detailed in the MySQL Docs.While the above is a summary of some of the key developer enabling 5.6 features, it is by no means exhaustive. You can dig deeper into what MySQL 5.6 has to offer by reading this developer zone article or checking out "What's New in MySQL 5.6" in the MySQL docs.BONUS ALERT!  If you are developing on Windows or are considering MySQL as an alternative to SQL Server for your next project, application or shipping product, you should check out the MySQL Installer for Windows.  The installer includes the MySQL 5.6 RC database, all drivers, Visual Studio and Excel plugins, tray monitor and development tools all a single download and GUI installer.   So what are your next steps? Register for Dec. 13 "MySQL 5.6: Building the Next Generation of Web-Based Applications and Services" live web event.  Hurry!  Seats are limited. Download the MySQL 5.6 Release Candidate (look under the Development Releases tab) Provide Feedback <link to http://bugs.mysql.com/> Join the Developer discussion on the MySQL Forums Explore all MySQL Products and Developer Tools As always, thanks for your continued support of MySQL!

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  • New Replication, Optimizer and High Availability features in MySQL 5.6.5!

    - by Rob Young
    As the Product Manager for the MySQL database it is always great to announce when the MySQL Engineering team delivers another great product release.  As a field DBA and developer it is even better when that release contains improvements and innovation that I know will help those currently using MySQL for apps that range from modest intranet sites to the most highly trafficked web sites on the web.  That said, it is my pleasure to take my hat off to MySQL Engineering for today's release of the MySQL 5.6.5 Development Milestone Release ("DMR"). The new highlighted features in MySQL 5.6.5 are discussed here: New Self-Healing Replication ClustersThe 5.6.5 DMR improves MySQL Replication by adding Global Transaction Ids and automated utilities for self-healing Replication clusters.  Prior to 5.6.5 this has been somewhat of a pain point for MySQL users with most developing custom solutions or looking to costly, complex third-party solutions for these capabilities.  With 5.6.5 these shackles are all but removed by a solution that is included with the GPL version of the database and supporting GPL tools.  You can learn all about the details of the great, problem solving Replication features in MySQL 5.6 in Mat Keep's Developer Zone article.  New Replication Administration and Failover UtilitiesAs mentioned above, the new Replication features, Global Transaction Ids specifically, are now supported by a set of automated GPL utilities that leverage the new GTIDs to provide administration and manual or auto failover to the most up to date slave (that is the default, but user configurable if needed) in the event of a master failure. The new utilities, along with links to Engineering related blogs, are discussed in detail in the DevZone Article noted above. Better Query Optimization and ThroughputThe MySQL Optimizer team continues to amaze with the latest round of improvements in 5.6.5. Along with much refactoring of the legacy code base, the Optimizer team has improved complex query optimization and throughput by adding these functional improvements: Subquery Optimizations - Subqueries are now included in the Optimizer path for runtime optimization.  Better throughput of nested queries enables application developers to simplify and consolidate multiple queries and result sets into a single unit or work. Optimizer now uses CURRENT_TIMESTAMP as default for DATETIME columns - For simplification, this eliminates the need for application developers to assign this value when a column of this type is blank by default. Optimizations for Range based queries - Optimizer now uses ready statistics vs Index based scans for queries with multiple range values. Optimizations for queries using filesort and ORDER BY.  Optimization criteria/decision on execution method is done now at optimization vs parsing stage. Print EXPLAIN in JSON format for hierarchical readability and Enterprise tool consumption. You can learn the details about these new features as well all of the Optimizer based improvements in MySQL 5.6 by following the Optimizer team blog. You can download and try the MySQL 5.6.5 DMR here. (look under "Development Releases")  Please let us know what you think!  The new HA utilities for Replication Administration and Failover are available as part of the MySQL Workbench Community Edition, which you can download here .Also New in MySQL LabsAs has become our tradition when announcing DMRs we also like to provide "Early Access" development features to the MySQL Community via the MySQL Labs.  Today is no exception as we are also releasing the following to Labs for you to download, try and let us know your thoughts on where we need to improve:InnoDB Online OperationsMySQL 5.6 now provides Online ADD Index, FK Drop and Online Column RENAME.  These operations are non-blocking and will continue to evolve in future DMRs.  You can learn the grainy details by following John Russell's blog.InnoDB data access via Memcached API ("NotOnlySQL") - Improved refresh of an earlier feature releaseSimilar to Cluster 7.2, MySQL 5.6 provides direct NotOnlySQL access to InnoDB data via the familiar Memcached API. This provides the ultimate in flexibility for developers who need fast, simple key/value access and complex query support commingled within their applications.Improved Transactional Performance, ScaleThe InnoDB Engineering team has once again under promised and over delivered in the area of improved performance and scale.  These improvements are also included in the aggregated Spring 2012 labs release:InnoDB CPU cache performance improvements for modern, multi-core/CPU systems show great promise with internal tests showing:    2x throughput improvement for read only activity 6x throughput improvement for SELECT range Read/Write benchmarks are in progress More details on the above are available here. You can download all of the above in an aggregated "InnoDB 2012 Spring Labs Release" binary from the MySQL Labs. You can also learn more about these improvements and about related fixes to mysys mutex and hash sort by checking out the InnoDB team blog.MySQL 5.6.5 is another installment in what we believe will be the best release of the MySQL database ever.  It also serves as a shining example of how the MySQL Engineering team at Oracle leads in MySQL innovation.You can get the overall Oracle message on the MySQL 5.6.5 DMR and Early Access labs features here. As always, thanks for your continued support of MySQL, the #1 open source database on the planet!

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  • Spooling in SQL execution plans

    - by Rob Farley
    Sewing has never been my thing. I barely even know the terminology, and when discussing this with American friends, I even found out that half the words that Americans use are different to the words that English and Australian people use. That said – let’s talk about spools! In particular, the Spool operators that you find in some SQL execution plans. This post is for T-SQL Tuesday, hosted this month by me! I’ve chosen to write about spools because they seem to get a bad rap (even in my song I used the line “There’s spooling from a CTE, they’ve got recursion needlessly”). I figured it was worth covering some of what spools are about, and hopefully explain why they are remarkably necessary, and generally very useful. If you have a look at the Books Online page about Plan Operators, at http://msdn.microsoft.com/en-us/library/ms191158.aspx, and do a search for the word ‘spool’, you’ll notice it says there are 46 matches. 46! Yeah, that’s what I thought too... Spooling is mentioned in several operators: Eager Spool, Lazy Spool, Index Spool (sometimes called a Nonclustered Index Spool), Row Count Spool, Spool, Table Spool, and Window Spool (oh, and Cache, which is a special kind of spool for a single row, but as it isn’t used in SQL 2012, I won’t describe it any further here). Spool, Table Spool, Index Spool, Window Spool and Row Count Spool are all physical operators, whereas Eager Spool and Lazy Spool are logical operators, describing the way that the other spools work. For example, you might see a Table Spool which is either Eager or Lazy. A Window Spool can actually act as both, as I’ll mention in a moment. In sewing, cotton is put onto a spool to make it more useful. You might buy it in bulk on a cone, but if you’re going to be using a sewing machine, then you quite probably want to have it on a spool or bobbin, which allows it to be used in a more effective way. This is the picture that I want you to think about in relation to your data. I’m sure you use spools every time you use your sewing machine. I know I do. I can’t think of a time when I’ve got out my sewing machine to do some sewing and haven’t used a spool. However, I often run SQL queries that don’t use spools. You see, the data that is consumed by my query is typically in a useful state without a spool. It’s like I can just sew with my cotton despite it not being on a spool! Many of my favourite features in T-SQL do like to use spools though. This looks like a very similar query to before, but includes an OVER clause to return a column telling me the number of rows in my data set. I’ll describe what’s going on in a few paragraphs’ time. So what does a Spool operator actually do? The spool operator consumes a set of data, and stores it in a temporary structure, in the tempdb database. This structure is typically either a Table (ie, a heap), or an Index (ie, a b-tree). If no data is actually needed from it, then it could also be a Row Count spool, which only stores the number of rows that the spool operator consumes. A Window Spool is another option if the data being consumed is tightly linked to windows of data, such as when the ROWS/RANGE clause of the OVER clause is being used. You could maybe think about the type of spool being like whether the cotton is going onto a small bobbin to fit in the base of the sewing machine, or whether it’s a larger spool for the top. A Table or Index Spool is either Eager or Lazy in nature. Eager and Lazy are Logical operators, which talk more about the behaviour, rather than the physical operation. If I’m sewing, I can either be all enthusiastic and get all my cotton onto the spool before I start, or I can do it as I need it. “Lazy” might not the be the best word to describe a person – in the SQL world it describes the idea of either fetching all the rows to build up the whole spool when the operator is called (Eager), or populating the spool only as it’s needed (Lazy). Window Spools are both physical and logical. They’re eager on a per-window basis, but lazy between windows. And when is it needed? The way I see it, spools are needed for two reasons. 1 – When data is going to be needed AGAIN. 2 – When data needs to be kept away from the original source. If you’re someone that writes long stored procedures, you are probably quite aware of the second scenario. I see plenty of stored procedures being written this way – where the query writer populates a temporary table, so that they can make updates to it without risking the original table. SQL does this too. Imagine I’m updating my contact list, and some of my changes move data to later in the book. If I’m not careful, I might update the same row a second time (or even enter an infinite loop, updating it over and over). A spool can make sure that I don’t, by using a copy of the data. This problem is known as the Halloween Effect (not because it’s spooky, but because it was discovered in late October one year). As I’m sure you can imagine, the kind of spool you’d need to protect against the Halloween Effect would be eager, because if you’re only handling one row at a time, then you’re not providing the protection... An eager spool will block the flow of data, waiting until it has fetched all the data before serving it up to the operator that called it. In the query below I’m forcing the Query Optimizer to use an index which would be upset if the Name column values got changed, and we see that before any data is fetched, a spool is created to load the data into. This doesn’t stop the index being maintained, but it does mean that the index is protected from the changes that are being done. There are plenty of times, though, when you need data repeatedly. Consider the query I put above. A simple join, but then counting the number of rows that came through. The way that this has executed (be it ideal or not), is to ask that a Table Spool be populated. That’s the Table Spool operator on the top row. That spool can produce the same set of rows repeatedly. This is the behaviour that we see in the bottom half of the plan. In the bottom half of the plan, we see that the a join is being done between the rows that are being sourced from the spool – one being aggregated and one not – producing the columns that we need for the query. Table v Index When considering whether to use a Table Spool or an Index Spool, the question that the Query Optimizer needs to answer is whether there is sufficient benefit to storing the data in a b-tree. The idea of having data in indexes is great, but of course there is a cost to maintaining them. Here we’re creating a temporary structure for data, and there is a cost associated with populating each row into its correct position according to a b-tree, as opposed to simply adding it to the end of the list of rows in a heap. Using a b-tree could even result in page-splits as the b-tree is populated, so there had better be a reason to use that kind of structure. That all depends on how the data is going to be used in other parts of the plan. If you’ve ever thought that you could use a temporary index for a particular query, well this is it – and the Query Optimizer can do that if it thinks it’s worthwhile. It’s worth noting that just because a Spool is populated using an Index Spool, it can still be fetched using a Table Spool. The details about whether or not a Spool used as a source shows as a Table Spool or an Index Spool is more about whether a Seek predicate is used, rather than on the underlying structure. Recursive CTE I’ve already shown you an example of spooling when the OVER clause is used. You might see them being used whenever you have data that is needed multiple times, and CTEs are quite common here. With the definition of a set of data described in a CTE, if the query writer is leveraging this by referring to the CTE multiple times, and there’s no simplification to be leveraged, a spool could theoretically be used to avoid reapplying the CTE’s logic. Annoyingly, this doesn’t happen. Consider this query, which really looks like it’s using the same data twice. I’m creating a set of data (which is completely deterministic, by the way), and then joining it back to itself. There seems to be no reason why it shouldn’t use a spool for the set described by the CTE, but it doesn’t. On the other hand, if we don’t pull as many columns back, we might see a very different plan. You see, CTEs, like all sub-queries, are simplified out to figure out the best way of executing the whole query. My example is somewhat contrived, and although there are plenty of cases when it’s nice to give the Query Optimizer hints about how to execute queries, it usually doesn’t do a bad job, even without spooling (and you can always use a temporary table). When recursion is used, though, spooling should be expected. Consider what we’re asking for in a recursive CTE. We’re telling the system to construct a set of data using an initial query, and then use set as a source for another query, piping this back into the same set and back around. It’s very much a spool. The analogy of cotton is long gone here, as the idea of having a continual loop of cotton feeding onto a spool and off again doesn’t quite fit, but that’s what we have here. Data is being fed onto the spool, and getting pulled out a second time when the spool is used as a source. (This query is running on AdventureWorks, which has a ManagerID column in HumanResources.Employee, not AdventureWorks2012) The Index Spool operator is sucking rows into it – lazily. It has to be lazy, because at the start, there’s only one row to be had. However, as rows get populated onto the spool, the Table Spool operator on the right can return rows when asked, ending up with more rows (potentially) getting back onto the spool, ready for the next round. (The Assert operator is merely checking to see if we’ve reached the MAXRECURSION point – it vanishes if you use OPTION (MAXRECURSION 0), which you can try yourself if you like). Spools are useful. Don’t lose sight of that. Every time you use temporary tables or table variables in a stored procedure, you’re essentially doing the same – don’t get upset at the Query Optimizer for doing so, even if you think the spool looks like an expensive part of the query. I hope you’re enjoying this T-SQL Tuesday. Why not head over to my post that is hosting it this month to read about some other plan operators? At some point I’ll write a summary post – once I have you should find a comment below pointing at it. @rob_farley

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  • Database Mirroring on SQL Server Express Edition

    - by Most Valuable Yak (Rob Volk)
    Like most SQL Server users I'm rather frustrated by Microsoft's insistence on making the really cool features only available in Enterprise Edition.  And it really doesn't help that they changed the licensing for SQL 2012 to be core-based, so now it's like 4 times as expensive!  It almost makes you want to go with Oracle.  That, and a desire to have Larry Ellison do things to your orifices. And since they've introduced Availability Groups, and marked database mirroring as deprecated, you'd think they'd make make mirroring available in all editions.  Alas…they don't…officially anyway.  Thanks to my constant poking around in places I'm not "supposed" to, I've discovered the low-level code that implements database mirroring, and found that it's available in all editions! It turns out that the query processor in all SQL Server editions prepends a simple check before every edition-specific DDL statement: IF CAST(SERVERPROPERTY('Edition') as nvarchar(max)) NOT LIKE '%e%e%e% Edition%' print 'Lame' else print 'Cool' If that statement returns true, it fails. (the print statements are just placeholders)  Go ahead and test it on Standard, Workgroup, and Express editions compared to an Enterprise or Developer edition instance (which support everything). Once again thanks to Argenis Fernandez (b | t) and his awesome sessions on using Sysinternals, I was able to watch the exact process SQL Server performs when setting up a mirror.  Surprisingly, it's not actually implemented in SQL Server!  Some of it is, but that's something of a smokescreen, the real meat of it is simple filesystem primitives. The NTFS filesystem supports links, both hard links and symbolic, so that you can create two entries for the same file in different directories and/or different names.  You can create them using the MKLINK command in a command prompt: mklink /D D:\SkyDrive\Data D:\Data mklink /D D:\SkyDrive\Log D:\Log This creates a symbolic link from my data and log folders to my Skydrive folder.  Any file saved in either location will instantly appear in the other.  And since my Skydrive will be automatically synchronized with the cloud, any changes I make will be copied instantly (depending on my internet bandwidth of course). So what does this have to do with database mirroring?  Well, it seems that the mirroring endpoint that you have to create between mirror and principal servers is really nothing more than a Skydrive link.  Although it doesn't actually use Skydrive, it performs the same function.  So in effect, the following statement: ALTER DATABASE Mir SET PARTNER='TCP://MyOtherServer.domain.com:5022' Is turned into: mklink /D "D:\Data" "\\MyOtherServer.domain.com\5022$" The 5022$ "port" is actually a hidden system directory on the principal and mirror servers. I haven't quite figured out how the log files are included in this, or why you have to SET PARTNER on both principal and mirror servers, except maybe that mklink has to do something special when linking across servers.  I couldn't get the above statement to work correctly, but found that doing mklink to a local Skydrive folder gave me similar functionality. To wrap this up, all you have to do is the following: Install Skydrive on both SQL Servers (principal and mirror) and set the local Skydrive folder (D:\SkyDrive in these examples) On the principal server, run mklink /D on the data and log folders to point to SkyDrive: mklink /D D:\SkyDrive\Data D:\Data On the mirror server, run the complementary linking: mklink /D D:\Data D:\SkyDrive\Data Create your database and make sure the files map to the principal data and log folders (D:\Data and D:\Log) Viola! Your databases are kept in sync on multiple servers! One wrinkle you will encounter is that the mirror server will show the data and log files, but you won't be able to attach them to the mirror SQL instance while they are attached to the principal. I think this is a bug in the Skydrive, but as it turns out that's fine: you can't access a mirror while it's hosted on the principal either.  So you don't quite get automatic failover, but you can attach the files to the mirror if the principal goes offline.  It's also not exactly synchronous, but it's better than nothing, and easier than either replication or log shipping with a lot less latency. I will end this with the obvious "not supported by Microsoft" and "Don't do this in production without an updated resume" spiel that you should by now assume with every one of my blog posts, especially considering the date.

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  • MySQL Policy-Based Auditing Webinar Recording Now Availabile

    - by Rob Young
    For those who missed the live event, the recording of the "How to Add Policy-Based Auditing to your MySQL Applications" webinar is now available.  You can view it here. This presentation builds on my earlier blog post on MySQL Enterprise Audit that was announced at MySQL Connect in late September.  The web presentation expands on the introductory blog and covers: The regulatory problem to be solved (internal audit, PCI, Sarbanes-Oxley, HIPAA, others) MySQL Audit solutions for both Community and Enterprise users: General Log - use the basic features of the MySQL server MySQL 5.5 open audit API - or use your time and talent to build your own solution MySQL Enterprise Audit - or use the out of the box, ready for production solution from MySQL Simple, step-by-step process for installing, enabling and configuring the MySQL Enterprise Audit plugin for use with existing apps New variables and options for tuning the MySQL Enterprise Audit plugin for your specific use case Best practices for securing and managing audit log files and archived images Roadmap for adding an integrated solution around MySQL Enterprise Audit for MySQL only and Oracle/MySQL shops You can learn all the technical details on MySQL Enterprise Audit in the MySQL docs and learn all about MySQL Enterprise Edition and Auditing here. As always, thanks for your support of MySQL!

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  • More BI Showcase Events - Greensboro, NC & Tampa, FL

    - by Rob Reynolds
    As the momentum around OBIEE 11g continues, we are providing more opportunities to get a hands on view of the new technology via our Oracle Business Intelligence Showcases. Next week we will have Showcases in Greensboro, NC and Tampa, FL. I will be presenting at both, so please stop by and say hello, while learning about the latest in Oracle BI & DW technology. Pre-registration is required. You can register for the events at the links below: Greensboro, NC - Tuesday December 7, 2011 Tampa, FL - Wednesday, December 8, 2011 Session Agenda: Agenda 9:00 a.m. – 10:00 a.m. Registration and Welcome 10:00 a.m. – 11:00 a.m. Session Keynote: Oracle’s New Generation of Business Intelligence Solutions and Innovations 11:00 a.m. – 12:00 noon Session 1 Track 1Oracle Business Intelligence Enterprise Edition 11g: End User Experience Track 2Management Reporting with Oracle Essbase 12:00 noon – 1:00 p.m. Networking Lunch 1:00 p.m. – 2:00 p.m. Session 2 Track 1Oracle Business Intelligence Enterprise Edition 11g for Power Users, Developers, and Administrators Track 2Oracle BI Applications: The Value of Cross-Functional BI Break to change rooms 2:00 p.m.– 3:00 p.m. Session 3 Track 1 Extreme Performance Data Warehousing Track 2Master Data Management: The Single Source of Truth for Real Time Decisions 3:15 p.m. Wrap-Up and Raffle Prize

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  • 24 Hours of PASS: Whine, Whine, Whine

    - by Most Valuable Yak (Rob Volk)
    24 Hours of Pass (or 24HOP) is a great program offered by PASS to provide free, online training for anyone who wants to learn more about SQL Server.  They routinely have the best SQL Server presenters available for these sessions, and attract hundreds, perhaps even a thousand attendees from around the world.  This is definitely one of the best things they've started doing in the past few years, and every session I've attended has been excellent. So why am I so grumpy about it? I'm not really, pretty much everything here is a minor annoyance that I can deal with.  However since they're so minor they seem to be things that can be easily corrected and would make the process much better. First off, this is my biggest gripe, the registration page: https://www323.livemeeting.com/lrs/8000181573/Registration.aspx?pageName=lj6378f4fhf5hpdm What grinds my gears about this?  I have to scroll alllllllllllllllllllllllllllll the way to bottom to actually register for the sessions.  This wouldn't be so bad except all the details of the session, including the presenter, is in a separate list at the top.  Both lists contain info the other does not, and scrolling between them to determine "Should I make time to listen to this?  Who is speaking at this time anyway?" is really unnecessary. My preference would be to keep the top list and add the checkboxes and schedule info in separate columns.  This is a full-width design, so there's plenty of space for this data, which is pretty small anyway.  The other huge benefit is halving the size of the page, which improves performance and lowers bandwidth usage considerably.  And if you know HTML/ASP.Net, and you view the page source, you can find PLENTY of other things that can be reduced even further.  (not just viewstate) One nice thing that PASS does is send iCal reminders to your email address so you can accept them to your calendar.  Again, they leave off the presenter in the appointment details, while still duplicating the meeting title in the body.  Sometimes I make decisions based on speaker rather than content (Natalie Portman is reading the Yellow Pages??? I'M THERE!) and having the speaker in the iCal is helpful. Next minor annoyances are the necessity for providing a company name, and the survey questions.  I know PASS needs to market themselves effectively, and they need information to do that, and since this is a free event it's really not worth complaining about, but why ask the survey question twice? (once at registration, once again when joining the LiveMeeting)  Same thing for the company name.  All of this should be tied to email address, so that's all I should need to enter when joining the LiveMeeting. The last one is also minor, but it irks me in this day and age of multiple browsers and the decline of Internet Explorer as a dominant platform.  The registration page was originally created in Visual Studio 2003, and has a lot of IE-specific crud representative of the browser situation of 2003. (IE5 references? really? and is the aforementioned viewstate big enough?)  This causes some grief with other browsers like Firefox, Chrome, and sometimes IE8 or 9.  And don't get me started on using the page on a Mac or in Safari. My main point is that PASS is an international organization, welcoming everyone from all levels of SQL Server proficiency, and in that spirit I think it would help to accommodate a wider range of browser software, especially since the registration page is extremely simple.  I recognize that this page is not hosted on the PASS website and may be maintained by some division of Microsoft, but to me that's even worse if MS can't update their own pages.  They've deprecated IE6, so they don't need to maintain support on their own websites anymore. OK, I'll shut up now. #sqlpass #24HOP

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  • Google Fonts API JSON Data in WordPress Options-Framework-Theme

    - by Rob
    I'm developing a child-theme off of the new Twenty Twelve theme using Wordpress 3.4.2 and the development version of the Options Theme Framework by Devin Price. In Devin's tutorial, it shows of a way to implement 15 Google Web Fonts into the Theme Options page, but not all of them (roughly 560). I know I can create a "manual list", like in the tutorial that states each one with fallbacks, but this is time consuming and unproductive as Google may or may not add to, update, change or remove some of these fonts from their list. The list I've created above will ultimately store unavailable fonts the user thinks is there because of what they can see in the drop-down menu and it won't have any new ones - making the list and some selections obsolete. On the Google Developer API Web Fonts page, it talks briefly on retrieving a "dynamic list" using JSON/JavaScript. I was wondering how would I be able to pull the Google Web Fonts API into my Wordpress Theme Options page so I'm not creating my own list or have to constantly release an update to solve this issue. Could someone please walk me through what I would need to paste into my options.php, functions.php, /inc/options-framework.php file etc. or even in a new one to implement this? I've also had a look into some screencasts, plugins and tutorials on how it works, but none of them are specific enough for people just starting out. Please keep in mind I'm not the best coder... Thank you.

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  • CSS variable height columns [migrated]

    - by Rob
    I have created a website, www.unionfamilies.com. I have a header, a main section consisting of two columns, and a footer. Currently, I have specified heights for header, main, footer, etc. I would like to make the site so the header stays on top, the columns adjust to match the height of the longest column, and the footer stays at the bottom. Can someone help me with this? I am new to CSS, so please be patient. Thank you.

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  • Thank You MySQL Community! MySQL 5.6.9 Release Candidate Available Now!

    - by Rob Young
    The MySQL Community continues its good work in testing and refining MySQL 5.6, and as such the next iteration of the 5.6 Release Candidate is now available for download.  You can get MySQL 5.6.9 here (look under the "Development Releases" tab).  This version is the result of feedback we have gotten since MySQL 5.6.7 was announced at MySQL Connect in late September. As iron sharpens iron, Community feedback sharpens the quality and performance of MySQL so please download 5.6.9 and let us know how we can improve it as we move toward the production-ready product release in early 2013. MySQL 5.6 is designed to meet the agility demands of the next generation of web apps and services and includes across the board improvements to the Optimizer, InnoDB performance/scale and online DDL operations, self-healing Replication, Performance Schema Instrumentation, Security and developer enabling NoSQL functionality.  You can learn all the details and follow MySQL Engineering blogs on all of the key features in this MySQL DevZone article. On a related note, plan to join this week's live webinars to learn more about MySQL 5.6 Self-Healing Replication Clusters and Building the Next Generation of Web, Cloud, SaaS, Embedded Application and Services with MySQL 5.6.  Hurry!  Seating is limited!  As always, thanks for your continued support of MySQL!

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  • T-SQL Tuesday - the swag

    - by Rob Farley
    This month’s T-SQL Tuesday is hosted by Kendal van Dyke (@SQLDBA), and is on the topic of swag. He asks about the best SQL Server swag that we’ve ever received from a conference. I can’t say I ever focus on getting the swag at conferences, as I see some people doing. I know there are plenty of people that get around all the sponsors as soon as they’ve arrived, collecting whatever goodies they can, sometimes as token gifts for those at home, sometimes as giveaways for the user groups they attend. I remember a few years ago at my first PASS Summit, the SQLCAT team gave me a large pile of leftover SQL Server swag to give away to my user group – piles of branded things to stop your phone sliding off your car dashboard, and other things. The user group members thought it was great, and over the course of a few months, happily cleared me out of it all. I tend to consider swag to be something that you haven’t earned except by being at a conference, and there was no winning associated with it, it was simply a giveaway item at a sponsor booth. That means I don’t include the HP Mini laptop that was given away at TechEd Australia a few years ago to every attendee, or the SQL Server bag and Camelbak bottle that I was given as a thank-you for writing a guest blog post (which I use as my regular laptop bag and water bottle for work). I don’t even include the copy of Midtown Madness that I got as a door prize at my vey first TechEd event in 1999 (that was a really good game, and even meant that when I went to Chicago last year, I felt a strange familiarity about the place). I don’t want to include shirts in the mix either. I was given a nice SQL Server shirt about five years ago TechEd Australia. It’s a business shirt (buttons, cuffs, pocket on the chest), black with the SQL Server logo on it. It was such a nice shirt that I commented about it to the Product Marketing Manager for Australia (Christine, at the time), who unexpectedly arranged for me to get another one. That was certainly an improvement on the tent I was given at one of the MVP conference I attended. So when I consider these ‘rules’, two pieces of swag come to mind, and I think both were at PASS Summits (although I can’t be sure). One was a hand-warmer from HP, one of the “crystallisation-type” ones, which proved extremely popular when I got home, until one day when it didn’t survive being recharged – not overly SQL related, but still it was good swag. The other was an umbrella, from expressor, which was from the PASS Summit in 2010, my first PASS Summit. I remember it well – Blythe Morrow (now Gietz) (@blythemorrow) was working the booth, having stopped working for PASS some time before, but she’d been on my list of people to meet, as I’d had plenty of contact with her while she’d worked at PASS, my being a chapter leader and general volunteer. There had been an expressor dinner on one of the first evenings, which I’d been asked to be at, which is when I’d met lots of SQL people in person for the first time, including Ted Krueger (@onpnt), Jessica Moss (@jessicamoss) and Blythe. Anyway, at some point the next day I swung by their booth to say hello and thank them for the dinner, and Blythe says “Oh, we have the best swag – here!” and handed me an umbrella. And she was right. It’s excellent. @rob_farley

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  • My Lightning Talk in MP3 format

    - by Rob Farley
    Download it now via http://bit.ly/RFCollation  Lots of people tell me they wish they’d heard my Lightning Talk from the PASS Summit. This was the one that was five minutes, in which I explained Collation using examples comparing US English, UK English and Australian English. At the end, I showed my Arsenal thongs. You can see a picture of them below. There was a visual joke involving the name Arsenal too... After the recordings became available, I asked the PASS legal people, and they said I could do what I liked with my own five-minute set, so long as I didn’t sell it. So I made an MP3. I’ve uploaded it to the LobsterPot Solutions web server, and provided an easy link via http://bit.ly/RFCollation. It’s a link straight to the MP3, and you’re welcome to download it, put it on your iPod, whatever you like. And also feel free to write comments here, to let me know what you think.

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  • Ubuntu 12.04 // Likewise Open // Unable to ever authenticate AD users

    - by Rob
    So Ubuntu 12.04, Likewise latest from the beyondtrust website. Joins domain fine. Gets proper information from lw-get-status. Can use lw-find-user-by-name to retrieve/locate users. Can use lw-enum-users to get all users. Attempting to login with an AD user via SSH generates the following errors in the auth.log file: Nov 28 19:15:45 hostname sshd[2745]: PAM unable to dlopen(pam_winbind.so): /lib/security/pam_winbind.so: cannot open shared object file: No such file or directory Nov 28 19:15:45 hostname sshd[2745]: PAM adding faulty module: pam_winbind.so Nov 28 19:15:51 hostname sshd[2745]: error: PAM: Authentication service cannot retrieve authentication info for DOMAIN\\user.name from remote.hostname Nov 28 19:16:06 hostname sshd[2745]: Connection closed by 10.1.1.84 [preauth] Attempting to login via the LightDM itself generates similar errors in the auth.log file. Nov 28 19:19:29 hostname lightdm: PAM unable to dlopen(pam_winbind.so): /lib/security/pam_winbind.so: cannot open shared object file: No such file or directory Nov 28 19:19:29 hostname lightdm: PAM adding faulty module: pam_winbind.so Nov 28 19:19:47 hostname lightdm: pam_succeed_if(lightdm:auth): requirement "user ingroup nopasswdlogin" not met by user "DOMAIN\user.name" Nov 28 19:19:52 hostname lightdm: [lsass-pam] [module:pam_lsass]pam_sm_authenticate error [login:DOMAIN\user.name][error code:40022] Nov 28 19:19:54 hostname lightdm: PAM unable to dlopen(pam_winbind.so): /lib/security/pam_winbind.so: cannot open shared object file: No such file or directory Nov 28 19:19:54 hostname lightdm: PAM adding faulty module: pam_winbind.so Attempting to login via a console on the system itself generates slightly different errors: Nov 28 19:31:09 hostname login[997]: PAM unable to dlopen(pam_winbind.so): /lib/security/pam_winbind.so: cannot open shared object file: No such file or directory Nov 28 19:31:09 hostname login[997]: PAM adding faulty module: pam_winbind.so Nov 28 19:31:11 hostname login[997]: [lsass-pam] [module:pam_lsass]pam_sm_authenticate error [login:DOMAIN\user.name][error code:40022] Nov 28 19:31:14 hostname login[997]: FAILED LOGIN (1) on '/dev/tty2' FOR 'DOMAIN\user.name', Authentication service cannot retrieve authentication info Nov 28 19:31:31 hostname login[997]: FAILED LOGIN (2) on '/dev/tty2' FOR 'DOMAIN\user.name', Authentication service cannot retrieve authentication info I am baffled. The errors obviously are correct, the file /lib/security/pam_winbind.so does not exist. If its a dependancy/required, surely it should be part of the package? I've installed/reinstalled, I've used the downloaded package from the beyondtrust website, i've used the repository, nothing seems to work, every method of installing this application generates the same errors for me. UPDATE : Hrmm, I thought likewise didn't use native winbind but its own modules. Installing winbind from apt-get uninstalls pbis-open (likewise) and generates failures when installing if pbis-open is installed first. Uninstalled winbind, reinstalled pbis-open, same issue as above. The file pam_winbind.so does not exist in that location. Setting up pbis-open-legacy (7.0.1.918) ... Installing Packages was successful This computer is joined to DOMAIN.LOCAL New libraries and configurations have been installed for PAM and NSS. Clearly it thinks it has installed it, but it hasn't. It may be a legacy issue with the previous attempt to configure domain integration manually with winbind. Does anyone have a working likewise-open installation and does the /etc/nsswitch.conf include references to winbind? Or do the /etc/pam.d/common-account or /etc/pam.d/common-password reference pam_winbind.so? I'm unsure if those entries are just legacy or setup by likewise. UPDATE 2 : Complete reinstall of OS fixed it and it worked seamlessly, like it was meant to and those 2 PAM files did NOT include entries for pam_winbind.so, so that was the underlying problem. Thanks for the assist.

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  • Top 10 Reasons to Use MySQL and MySQL Cluster as an Embedded Database

    - by Rob Young
    If you are considering using MySQL and/or MySQL Cluster as the embedded database solution for your application, you should join us for today's webcast where we will discuss how you can cut costs, add flexibility and benefit from new performance and scalability enhancements that are now available in MySQL 5.6 and MySQL Cluster 7.2.  We will cover the top 10 reasons that make MySQL and MySQL Cluster the best solutions for embedding in both shrink wrapped and SaaS provided applications, how industry leaders leverage MySQL products and how you can get started with the latest innovations and support offerings across the MySQL product line. You can learn more and reserve your seat here. As always, thanks for your support of MySQL!

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  • PowerShell to fetch a SQL Execution Plan

    - by Rob Farley
    With PowerShell becoming the scripting language of choice for many people, I’ve occasionally wondered about using it to analyse execution plans. After all, an execution plan is just XML, and PowerShell is just one tool which will very easily handle xml. The thing is – there’s no Get-SqlPlan cmdlet available, which has frustrated me in the past. Today I figured I’d make one. I know that I can write T-SQL to get an execution plan using SET SHOWPLAN_XML ON, but the problem is that this must be the only statement in a batch. So I used go, and a couple of newlines, and whipped up the following one-liner: function Get-SqlPlan([string] $query, [string] $server, [string] $db) { return ([xml] (invoke-sqlcmd -Server $server -Database $db -Query "set showplan_xml on;`ngo`n$query").Item( 0)) } (but please bear in mind that I have the SQL Snapins installed, which provides invoke-sqlcmd) To use this, I just do something like: $plan = get-sqlplan "select name from Production.Product" "." "AdventureWorks" And then find myself with an easy way to navigate through an execution plan! At some point I should make the function more robust, but this should be a good starter for any SQL PowerShell enthusiasts (like Aaron Nelson) out there.

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  • June 25 changes to BIS 742.15 How does it impact SSL iPhone App export compliance

    - by Rob
    This question isn't strictly development-related but I hope it's still acceptable :) On June 25, 2010 the BIS updated 742.15 and of interest to me is the new 742.14(b)(4) "Exclusions from mass market classification request, encryption registration and self-classification reporting requirements" and 742.15(b)(4)(ii) which states… (ii) Foreign products developed with or incorporating U.S.-origin encryption source code, components, or toolkits. Foreign products developed with or incorporating U.S. origin encryption source code, components or toolkits that are subject to the EAR, provided that the U.S. origin encryption items have previously been classified or registered and authorized by BIS and the cryptographic functionality has not been changed. Such products include foreign developed products that are designed to operate with U.S. products through a cryptographic interface. I take this to mean that my Canadian produced product that uses https is now excluded from requiring a CCATTS. What does everyone else think?

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  • Will upgrading disrupt online backup software (Crashplan)?

    - by Rob
    Has anyone had any experience upgrading to Ubuntu 11.04, and how this might affect online backup software processes? Specifically, I'm currently running Ubuntu 10.10 and using Crashplan v3. Crashplan backup engine runs constantly in the background to monitor files for changes and back up accordingly. Will upgrading to Ubuntu 11.04 affect any of the Crashplan backup process? Has anyone done this successfully? I'd like to upgrade to the latest and greatest Ubuntu release, but not at the risk of affecting the backup, or worse, having to start from scratch again and upload the entire library!

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  • T-SQL Tuesday #31 - Logging Tricks with CONTEXT_INFO

    - by Most Valuable Yak (Rob Volk)
    This month's T-SQL Tuesday is being hosted by Aaron Nelson [b | t], fellow Atlantan (the city in Georgia, not the famous sunken city, or the resort in the Bahamas) and covers the topic of logging (the recording of information, not the harvesting of trees) and maintains the fine T-SQL Tuesday tradition begun by Adam Machanic [b | t] (the SQL Server guru, not the guy who fixes cars, check the spelling again, there will be a quiz later). This is a trick I learned from Fernando Guerrero [b | t] waaaaaay back during the PASS Summit 2004 in sunny, hurricane-infested Orlando, during his session on Secret SQL Server (not sure if that's the correct title, and I haven't used parentheses in this paragraph yet).  CONTEXT_INFO is a neat little feature that's existed since SQL Server 2000 and perhaps even earlier.  It lets you assign data to the current session/connection, and maintains that data until you disconnect or change it.  In addition to the CONTEXT_INFO() function, you can also query the context_info column in sys.dm_exec_sessions, or even sysprocesses if you're still running SQL Server 2000, if you need to see it for another session. While you're limited to 128 bytes, one big advantage that CONTEXT_INFO has is that it's independent of any transactions.  If you've ever logged to a table in a transaction and then lost messages when it rolled back, you can understand how aggravating it can be.  CONTEXT_INFO also survives across multiple SQL batches (GO separators) in the same connection, so for those of you who were going to suggest "just log to a table variable, they don't get rolled back":  HA-HA, I GOT YOU!  Since GO starts a new batch all variable declarations are lost. Here's a simple example I recently used at work.  I had to test database mirroring configurations for disaster recovery scenarios and measure the network throughput.  I also needed to log how long it took for the script to run and include the mirror settings for the database in question.  I decided to use AdventureWorks as my database model, and Adam Machanic's Big Adventure script to provide a fairly large workload that's repeatable and easily scalable.  My test would consist of several copies of AdventureWorks running the Big Adventure script while I mirrored the databases (or not). Since Adam's script contains several batches, I decided CONTEXT_INFO would have to be used.  As it turns out, I only needed to grab the start time at the beginning, I could get the rest of the data at the end of the process.   The code is pretty small: declare @time binary(128)=cast(getdate() as binary(8)) set context_info @time   ... rest of Big Adventure code ...   go use master; insert mirror_test(server,role,partner,db,state,safety,start,duration) select @@servername, mirroring_role_desc, mirroring_partner_instance, db_name(database_id), mirroring_state_desc, mirroring_safety_level_desc, cast(cast(context_info() as binary(8)) as datetime), datediff(s,cast(cast(context_info() as binary(8)) as datetime),getdate()) from sys.database_mirroring where db_name(database_id) like 'Adv%';   I declared @time as a binary(128) since CONTEXT_INFO is defined that way.  I couldn't convert GETDATE() to binary(128) as it would pad the first 120 bytes as 0x00.  To keep the CAST functions simple and avoid using SUBSTRING, I decided to CAST GETDATE() as binary(8) and let SQL Server do the implicit conversion.  It's not the safest way perhaps, but it works on my machine. :) As I mentioned earlier, you can query system views for sessions and get their CONTEXT_INFO.  With a little boilerplate code this can be used to monitor long-running procedures, in case you need to kill a process, or are just curious  how long certain parts take.  In this example, I added code to Adam's Big Adventure script to set CONTEXT_INFO messages at strategic places I want to monitor.  (His code is in UPPERCASE as it was in the original, mine is all lowercase): declare @msg binary(128) set @msg=cast('Altering bigProduct.ProductID' as binary(128)) set context_info @msg go ALTER TABLE bigProduct ALTER COLUMN ProductID INT NOT NULL GO set context_info 0x0 go declare @msg1 binary(128) set @msg1=cast('Adding pk_bigProduct Constraint' as binary(128)) set context_info @msg1 go ALTER TABLE bigProduct ADD CONSTRAINT pk_bigProduct PRIMARY KEY (ProductID) GO set context_info 0x0 go declare @msg2 binary(128) set @msg2=cast('Altering bigTransactionHistory.TransactionID' as binary(128)) set context_info @msg2 go ALTER TABLE bigTransactionHistory ALTER COLUMN TransactionID INT NOT NULL GO set context_info 0x0 go declare @msg3 binary(128) set @msg3=cast('Adding pk_bigTransactionHistory Constraint' as binary(128)) set context_info @msg3 go ALTER TABLE bigTransactionHistory ADD CONSTRAINT pk_bigTransactionHistory PRIMARY KEY NONCLUSTERED(TransactionID) GO set context_info 0x0 go declare @msg4 binary(128) set @msg4=cast('Creating IX_ProductId_TransactionDate Index' as binary(128)) set context_info @msg4 go CREATE NONCLUSTERED INDEX IX_ProductId_TransactionDate ON bigTransactionHistory(ProductId,TransactionDate) INCLUDE(Quantity,ActualCost) GO set context_info 0x0   This doesn't include the entire script, only those portions that altered a table or created an index.  One annoyance is that SET CONTEXT_INFO requires a literal or variable, you can't use an expression.  And since GO starts a new batch I need to declare a variable in each one.  And of course I have to use CAST because it won't implicitly convert varchar to binary.  And even though context_info is a nullable column, you can't SET CONTEXT_INFO NULL, so I have to use SET CONTEXT_INFO 0x0 to clear the message after the statement completes.  And if you're thinking of turning this into a UDF, you can't, although a stored procedure would work. So what does all this aggravation get you?  As the code runs, if I want to see which stage the session is at, I can run the following (assuming SPID 51 is the one I want): select CAST(context_info as varchar(128)) from sys.dm_exec_sessions where session_id=51   Since SQL Server 2005 introduced the new system and dynamic management views (DMVs) there's not as much need for tagging a session with these kinds of messages.  You can get the session start time and currently executing statement from them, and neatly presented if you use Adam's sp_whoisactive utility (and you absolutely should be using it).  Of course you can always use xp_cmdshell, a CLR function, or some other tricks to log information outside of a SQL transaction.  All the same, I've used this trick to monitor long-running reports at a previous job, and I still think CONTEXT_INFO is a great feature, especially if you're still using SQL Server 2000 or want to supplement your instrumentation.  If you'd like an exercise, consider adding the system time to the messages in the last example, and an automated job to query and parse it from the system tables.  That would let you track how long each statement ran without having to run Profiler. #TSQL2sDay

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  • Ubuntu One Bookmark sync not working.

    - by Rob
    Everything in Ubuntu One sync works great except bookmark sync. I tried the wiki answer that said to run: killall beam.smp beam rm ~/.config/desktop-couch/desktop-couchdb.ini dbus-send --session --dest=org.desktopcouch.CouchDB --print-reply --type=method_call / org.desktopcouch.CouchDB.getPort This is what my terminal came back with: robin@robin-MIDWAY:~$ killall beam.smp beam beam: no process found robin@robin-MIDWAY:~$ rm ~/.config/desktop-couch/desktop-couchdb.ini rm: cannot remove `/home/robin/.config/desktop-couch/desktop-couchdb.ini': No such file or directory robin@robin-MIDWAY:~$ dbus-send --session --dest=org.desktopcouch.CouchDB --print-reply --type=method_call / org.desktopcouch.CouchDB.getPort Error org.freedesktop.DBus.Error.NoReply: Did not receive a reply. Possible causes include: the remote application did not send a reply, the message bus security policy blocked the reply, the reply timeout expired, or the network connection was broken. robin@robin-MIDWAY:~$ I'm a computer "newbie" so it's possible I'm doing something wrong, are there any tutorials out there on how to use the CouchDB? I have Bindwood installed.

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  • SQL Saturday #162 Cambridge

    - by Most Valuable Yak (Rob Volk)
    Despite the efforts of American Airlines, this past weekend I attended the first SQL Saturday in the UK!  Hosted by the SQLCambs Chapter of PASS and organized by Mark (b|t) & Lorraine Broadbent, ably assisted by John Martin (b|t), Mark Pryce-Maher (b|t) and other folks whose names I've unfortunately forgotten, it was held at the Crowne Plaza Hotel, which is completely surrounded by Cambridge University. On Friday, they presented 3 pre-conference sessions given by the brilliant American Cloud & DBA Guru, Buck Woody (b|t), the brilliant Danish SQL Server Internals Guru, Mark Rasmussen (b|t), and the brilliant Scottish Business Intelligence Guru and recent Outstanding Pass Volunteer, Jen Stirrup (b|t).  While I would have loved to attend any of their pre-cons (having seen them present several times already), finances and American Airlines ultimately made that impossible.  But not to worry, I caught up with them during the regular sessions and at the speaker dinner.  And I got back the money they all owed me.  (Actually I owed Mark some money) The schedule was jam-packed even with only 4 tracks, there were 8 regular slots, a lunch session for sponsor presentations, and a 15 minute keynote given by Buck Woody, who besides giving an excellent history of SQL Server at Microsoft (and before), also explained the source of the "unknown contact" image that appears in Outlook.  Hint: it's not Buck himself. Amazingly, and against all better judgment, I even got to present at SQL Saturday 162!  I did a 5 minute Lightning Talk on Regular Expressions in SSMS.  I then did a regular 50 minute session on Constraints.  You can download the content for the regular session at that link, and for the regular expression presentation here. I had a great time and had a great audience for both of my sessions.  You would never have guessed this was the first event for the organizers, everything went very smoothly, especially for the number of attendees and the relative smallness of the space.  The event sponsors also deserve a lot of credit for making themselves fit in a small area and for staying through the entire event until the giveaways at the very end. Overall this was one of the best SQL Saturdays I've ever attended and I have to congratulate Mark B, Lorraine, John, Mark P-M, and all the volunteers and speakers for making this an astoundingly hard act to follow!  Well done!

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  • Coming to a City Near You: Oracle Business Analytics Summits

    - by Rob Reynolds
    More and more organizations use analytics to identify new business opportunities, reduce costs, and optimize business processes. How? By making business information available throughout the enterprise—and making sure that it is relevant, actionable, and easy to access.Oracle invites you to join us for an information-packed event where you’ll learn about the latest trends, best practices, and innovations in business intelligence, analytic applications, and data warehousing.If you are an IT professional involved in BI strategy, program management, systems management, architecture, or deployment, this event is for you. You’ll find out about: New ways of deploying and delivering business intelligence on premise, in the cloud, and on mobile devices to a diverse base of business users New approaches for integrating, storing, managing, securing, and accessing your ever-growing volumes of structured and unstructured data The latest strategies for dramatically increasing the ROI of your ERP and CRM deployments Click here to view the presentation abstracts. Agenda 9:00 a.m. Registration 10:00 a.m. Keynote: Business Analytics—Be the First to Know 11:00 a.m. Break Breakout Sessions Technology and Architecture Strategy Track Business Insight and Analytic Delivery Track 11:15 a.m. Emerging Trends in Enterprise BI Platforms 11:15 a.m. Mobile BI—More than Dashboards on a Tablet 12:00 noon Networking Lunch 12:00 noon Networking Lunch 1:00 p.m. Is Your Business Intelligence Data at Risk? 1:00 p.m. Geospatial Intelligence—Location, Location, Location! 1:45 p.m. What Extreme Performance Means for Your Business 1:45 p.m. The Role of BI in Your ERP and Performance Management Initiatives 2:30 p.m. Become a BI Architect 2:30 p.m. BI Applications: Step 1 in Your ERP Upgrade or Expansion 3:00 p.m. Partner Spotlight Registration links for each city are below: New York , NY- July 26 Miami, FL - July 27 Reston, VA, July 27 Atlanta, GA - July 28 Boston, MA - July 28 Rochester, NY - Aug 2 (event link coming soon!) Menlo Park, CA - August 2 Charlotte, NC - August 3 Newport Beach, CA - August 3 Register online at the links above or call 1.800.820.5592 ext. 9218 to reserve your place.

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  • T-SQL in Chicago – the LobsterPot teams with DataEducation

    - by Rob Farley
    In May, I’ll be in the US. I have board meetings for PASS at the SQLRally event in Dallas, and then I’m going to be spending a bit of time in Chicago. The big news is that while I’m in Chicago (May 14-16), I’m going to teach my “Advanced T-SQL Querying and Reporting: Building Effectiveness” course. This is a course that I’ve been teaching since the 2005 days, and have modified over time for 2008 and 2012. It’s very much my most popular course, and I love teaching it. Let me tell you why. For years, I wrote queries and thought I was good at it. I was a developer. I’d written a lot of C (and other, more fun languages like Prolog and Lisp) at university, and then got into the ‘real world’ and coded in VB, PL/SQL, and so on through to C#, and saw SQL (whichever database system it was) as just a way of getting the data back. I could write a query to return just about whatever data I wanted, and that was good. I was better at it than the people around me, and that helped. (It didn’t help my progression into management, then it just became a frustration, but for the most part, it was good to know that I was good at this particular thing.) But then I discovered the other side of querying – the execution plan. I started to learn about the translation from what I’d written into the plan, and this impacted my query-writing significantly. I look back at the queries I wrote before I understood this, and shudder. I wrote queries that were correct, but often a long way from effective. I’d done query tuning, but had largely done it without considering the plan, just inferring what indexes would help. This is not a performance-tuning course. It’s focused on the T-SQL that you read and write. But performance is a significant and recurring theme. Effective T-SQL has to be about performance – it’s the biggest way that a query becomes effective. There are other aspects too though – such as using constructs better. For example – I can write code that modifies data nicely, but if I haven’t learned about the MERGE statement and the way that it can impact things, I’m missing a few tricks. If you’re going to do this course, a good place to be is the situation I was in a few years before I wrote this course. You’re probably comfortable with writing T-SQL queries. You know how to make a SELECT statement do what you need it to, but feel there has to be a better way. You can write JOINs easily, and understand how to use LEFT JOIN to make sure you don’t filter out rows from the first table, but you’re coding blind. The first module I cover is on Query Execution. Take a look at the Course Outline at Data Education’s website. The first part of the first module is on the components of a SELECT statement (where I make you think harder about GROUP BY than you probably have before), but then we jump straight into Execution Plans. Some stuff on indexes is in there too, as is simplification and SARGability. Some of this is stuff that you may have heard me present on at conferences, but here you have me for three days straight. I’m sure you can imagine that we revisit these topics throughout the rest of the course as well, and you’d be right. In the second and third modules we look at a bunch of other aspects, including some of the T-SQL constructs that lots of people don’t know, and various other things that can help your T-SQL be, well, more effective. I’ve had quite a lot of people do this course and be itching to get back to work even on the first day. That’s not a comment about the jokes I tell, but because people want to look at the queries they run. LobsterPot Solutions is thrilled to be partnering with Data Education to bring this training to Chicago. Visit their website to register for the course. @rob_farley

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  • Postfix and tmpfs for /var/spool

    - by Rob Fisher
    My main disk is an SSD so in order to preserve its lifetime by reducing writes I followed some advice and made /var/spool a ram disk by adding this line to /etc/fstab: tmpfs /var/spool tmpfs defaults,noatime,mode=1777 0 0 Later I configured postfix because I have a RAID array on my system and mdadm wants to send me email if the RAID array fails which sounds like a fine idea. Email sending worked fine until I rebooted, at which point: postfix: fatal: open /etc/postfix-out/main.cf: No such file or directory The fix for this is apparently: mkdir /var/spool/postfix postfix check Then I found I also had to do: mkfifo /var/spool/postfix/public/pickup service postfix restart Now sending emails works fine...until the next reboot. So: what is the most correct way to recreate the contents of /var/spool/postfix automatically at boot time if it does not exist? I am using Ubuntu Server 12.04.

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  • SQL Saturday #220 - Atlanta - Pre-Conference Scholarships!

    - by Most Valuable Yak (Rob Volk)
    We Want YOU…To Learn! AtlantaMDF and Idera are teaming up to find a few good people. If you are: A student looking to work in the database or business intelligence fields A database professional who is between jobs or wants a better one A developer looking to step up to something new On a limited budget and can’t afford professional SQL Server training Able to attend training from 9 to 5 on May 17, 2013 AtlantaMDF is presenting 5 Pre-Conference Sessions (pre-cons) for SQL Saturday #220! And thanks to Idera’s sponsorship, we can offer one free ticket to each of these sessions to eligible candidates! That means one scholarship per Pre-Con! One Recipient Each will Attend: Denny Cherry: SQL Server Security http://sqlsecurity.eventbrite.com/ Adam Machanic: Surfing the Multicore Wave: Processors, Parallelism, and Performance http://surfmulticore.eventbrite.com/ Stacia Misner: Languages of BI http://languagesofbi.eventbrite.com/ Bill Pearson: Practical Self-Service BI with PowerPivot for Excel http://selfservicebi.eventbrite.com/ Eddie Wuerch: The DBA Skills Upgrade Toolkit http://dbatoolkit.eventbrite.com/ If you are interested in attending these pre-cons send an email by April 30, 2013 to [email protected] and tell us: Why you are a good candidate to receive this scholarship Which sessions you’d like to attend, and why (list multiple sessions in order of preference) What the session will teach you and how it will help you achieve your goals The emails will be evaluated by the good folks at Midlands PASS in Columbia, SC. The recipients will be notified by email and announcements made on May 6, 2013. GOOD LUCK! P.S. - Don't forget that SQLSaturday #220 offers free* training in addition to the pre-cons! You can find more information about SQL Saturday #220 at http://www.sqlsaturday.com/220/eventhome.aspx. View the scheduled sessions at http://www.sqlsaturday.com/220/schedule.aspx and register for them at http://www.sqlsaturday.com/220/register.aspx. * Registration charges a $10 fee to cover lunch expenses.

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  • The SSIS tuning tip that everyone misses

    - by Rob Farley
    I know that everyone misses this, because I’m yet to find someone who doesn’t have a bit of an epiphany when I describe this. When tuning Data Flows in SQL Server Integration Services, people see the Data Flow as moving from the Source to the Destination, passing through a number of transformations. What people don’t consider is the Source, getting the data out of a database. Remember, the source of data for your Data Flow is not your Source Component. It’s wherever the data is, within your database, probably on a disk somewhere. You need to tune your query to optimise it for SSIS, and this is what most people fail to do. I’m not suggesting that people don’t tune their queries – there’s plenty of information out there about making sure that your queries run as fast as possible. But for SSIS, it’s not about how fast your query runs. Let me say that again, but in bolder text: The speed of an SSIS Source is not about how fast your query runs. If your query is used in a Source component for SSIS, the thing that matters is how fast it starts returning data. In particular, those first 10,000 rows to populate that first buffer, ready to pass down the rest of the transformations on its way to the Destination. Let’s look at a very simple query as an example, using the AdventureWorks database: We’re picking the different Weight values out of the Product table, and it’s doing this by scanning the table and doing a Sort. It’s a Distinct Sort, which means that the duplicates are discarded. It'll be no surprise to see that the data produced is sorted. Obvious, I know, but I'm making a comparison to what I'll do later. Before I explain the problem here, let me jump back into the SSIS world... If you’ve investigated how to tune an SSIS flow, then you’ll know that some SSIS Data Flow Transformations are known to be Blocking, some are Partially Blocking, and some are simply Row transformations. Take the SSIS Sort transformation, for example. I’m using a larger data set for this, because my small list of Weights won’t demonstrate it well enough. Seven buffers of data came out of the source, but none of them could be pushed past the Sort operator, just in case the last buffer contained the data that would be sorted into the first buffer. This is a blocking operation. Back in the land of T-SQL, we consider our Distinct Sort operator. It’s also blocking. It won’t let data through until it’s seen all of it. If you weren’t okay with blocking operations in SSIS, why would you be happy with them in an execution plan? The source of your data is not your OLE DB Source. Remember this. The source of your data is the NCIX/CIX/Heap from which it’s being pulled. Picture it like this... the data flowing from the Clustered Index, through the Distinct Sort operator, into the SELECT operator, where a series of SSIS Buffers are populated, flowing (as they get full) down through the SSIS transformations. Alright, I know that I’m taking some liberties here, because the two queries aren’t the same, but consider the visual. The data is flowing from your disk and through your execution plan before it reaches SSIS, so you could easily find that a blocking operation in your plan is just as painful as a blocking operation in your SSIS Data Flow. Luckily, T-SQL gives us a brilliant query hint to help avoid this. OPTION (FAST 10000) This hint means that it will choose a query which will optimise for the first 10,000 rows – the default SSIS buffer size. And the effect can be quite significant. First let’s consider a simple example, then we’ll look at a larger one. Consider our weights. We don’t have 10,000, so I’m going to use OPTION (FAST 1) instead. You’ll notice that the query is more expensive, using a Flow Distinct operator instead of the Distinct Sort. This operator is consuming 84% of the query, instead of the 59% we saw from the Distinct Sort. But the first row could be returned quicker – a Flow Distinct operator is non-blocking. The data here isn’t sorted, of course. It’s in the same order that it came out of the index, just with duplicates removed. As soon as a Flow Distinct sees a value that it hasn’t come across before, it pushes it out to the operator on its left. It still has to maintain the list of what it’s seen so far, but by handling it one row at a time, it can push rows through quicker. Overall, it’s a lot more work than the Distinct Sort, but if the priority is the first few rows, then perhaps that’s exactly what we want. The Query Optimizer seems to do this by optimising the query as if there were only one row coming through: This 1 row estimation is caused by the Query Optimizer imagining the SELECT operation saying “Give me one row” first, and this message being passed all the way along. The request might not make it all the way back to the source, but in my simple example, it does. I hope this simple example has helped you understand the significance of the blocking operator. Now I’m going to show you an example on a much larger data set. This data was fetching about 780,000 rows, and these are the Estimated Plans. The data needed to be Sorted, to support further SSIS operations that needed that. First, without the hint. ...and now with OPTION (FAST 10000): A very different plan, I’m sure you’ll agree. In case you’re curious, those arrows in the top one are 780,000 rows in size. In the second, they’re estimated to be 10,000, although the Actual figures end up being 780,000. The top one definitely runs faster. It finished several times faster than the second one. With the amount of data being considered, these numbers were in minutes. Look at the second one – it’s doing Nested Loops, across 780,000 rows! That’s not generally recommended at all. That’s “Go and make yourself a coffee” time. In this case, it was about six or seven minutes. The faster one finished in about a minute. But in SSIS-land, things are different. The particular data flow that was consuming this data was significant. It was being pumped into a Script Component to process each row based on previous rows, creating about a dozen different flows. The data flow would take roughly ten minutes to run – ten minutes from when the data first appeared. The query that completes faster – chosen by the Query Optimizer with no hints, based on accurate statistics (rather than pretending the numbers are smaller) – would take a minute to start getting the data into SSIS, at which point the ten-minute flow would start, taking eleven minutes to complete. The query that took longer – chosen by the Query Optimizer pretending it only wanted the first 10,000 rows – would take only ten seconds to fill the first buffer. Despite the fact that it might have taken the database another six or seven minutes to get the data out, SSIS didn’t care. Every time it wanted the next buffer of data, it was already available, and the whole process finished in about ten minutes and ten seconds. When debugging SSIS, you run the package, and sit there waiting to see the Debug information start appearing. You look for the numbers on the data flow, and seeing operators going Yellow and Green. Without the hint, I’d sit there for a minute. With the hint, just ten seconds. You can imagine which one I preferred. By adding this hint, it felt like a magic wand had been waved across the query, to make it run several times faster. It wasn’t the case at all – but it felt like it to SSIS.

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