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  • SQL Server 2005: Internal Query Processor Error:

    - by Geetha
    I am trying to execute this following procedure in SQL Server 2005. I was able to execute this in my development server and when i tried to use this in the Live Server I am getting an Error "Internal Query Processor Error: The query processor could not produce a query plan. For more information, contact Customer Support Services". am using the same Database and the same format. when we searched in the web it shows some fixes to be used in sql server 2005 to avoid this error but my DBA has confirmed that all the patches are updated in our server. can anyone give me some clue on this. Query: create Procedure [dbo].[sample_Select] @ID as varchar(40) as Declare @Execstring as varchar(1000) set @Execstring = ' Declare @MID as varchar(40) Set @MID = '''+@ID+''' select * from ( select t1.field1, t1.field2 AS field2 , t1.field3 AS field3 , L.field1 AS field1 , L. field2 AS field2 from table1 AS t1 INNER JOIN MasterTable AS L ON L. field1 = t1. field2 where t1. field2 LIKE @MID ) as DataTable PIVOT ( Count(field2) FOR field3 IN (' Select @Execstring=@Execstring+ L.field2 +',' FROM MasterTable AS L inner join table1 AS t1 ON t1.field1= L.field2 Where t1.field2 LIKE @ID set @Execstring = stuff(@Execstring, len(@Execstring), 1, '') set @Execstring =@Execstring +')) as pivotTable' exec (@Execstring)

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  • sql query selecting one name no matter how many rows it was mentioned in

    - by Baruch
    Basically what I'm trying to do is get the information from column x no matter how many times it was mentioned. means that if I have this kind of table: x | y | z ------+-------+-------- hello | one | bye hello | two | goodbye hi | three | see you so what I'm trying to do is create a query that would get all of the names that are mentions in the x column without duplicates and put it into a select list. my goal is that I would have a select list with TWO not THREE options, hello and hi this is what I have so far which isn't working. hope you guys know the answer to that: function getList(){ $options="<select id='names' style='margin-right:40px;'>"; $c_id = $_SESSION['id']; $sql="SELECT * FROM names"; $result=mysql_query($sql); $options.="<option value='blank'>-- Select something --</option>" ; while ($row=mysql_fetch_array($result)) { $name=$row["x"]; $options.="<option value='$name'>$name</option>"; } $options.= "</SELECT>"; return "$options"; } Sorry for confusing... i edited my source

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  • SQL Server 2005 FREETEXT() Perfomance Issue

    - by Zenon
    I have a query with about 6-7 joined tables and a FREETEXT() predicate on 6 columns of the base table in the where. Now, this query worked fine (in under 2 seconds) for the last year and practically remained unchanged (i tried old versions and the problem persists) So today, all of a sudden, the same query takes around 1-1.5 minutes. After checking the Execution Plan in SQL Server 2005, rebuilding the FULLTEXT Index of that table, reorganising the FULLTEXT index, creating the index from scratch, restarting the SQL Server Service, restarting the whole server I don't know what else to try. I temporarily switched the query to use LIKE instead until i figure this out (which takes about 6 seconds now). When I look at the query in the query performance analyser, when I compare the ´FREETEXT´query with the ´LIKE´ query, the former has 350 times as many reads (4921261 vs. 13943) and 20 times (38937 vs. 1938) the CPU usage of the latter. So it really is the ´FREETEXT´predicate that causes it to be so slow. Has anyone got any ideas on what the reason might be? Or further tests I could do?

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  • Beginner having difficulty with SQL query

    - by Vulcanizer
    Hi, I've been studying SQL for 2 weeks now and I'm preparing for an SQL test. Anyway I'm trying to do this question: For the table: 1 create table data { 2 id int, 3 n1 int not null, 4 n2 int not null, 5 n3 int not null, 6 n4 int not null, 7 primary key (id) 8 } I need to return the relation with tuples (n1, n2, n3) where all the corresponding values for n4 are 0. The problem asks me to solve it WITHOUT using subqueries(nested selects/views) It also gives me an example table and the expected output from my query: 01 insert into data (id, n1, n2, n3, n4) 02 values (1, 2,4,7,0), 03 (2, 2,4,7,0), 04 (3, 3,6,9,8), 05 (4, 1,1,2,1), 06 (5, 1,1,2,0), 07 (6, 1,1,2,0), 08 (7, 5,3,8,0), 09 (8, 5,3,8,0), 10 (9, 5,3,8,0); expects (2,4,7) (5,3,8) and not (1,1,2) since that has a 1 in n4 in one of the cases. The best I could come up with was: 1 SELECT DISTINCT n1, n2, n3 2 FROM data a, data b 3 WHERE a.ID <> b.ID 4 AND a.n1 = b.n1 5 AND a.n2 = b.n2 6 AND a.n3 = b.n3 7 AND a.n4 = b.n4 8 AND a.n4 = 0 but I found out that also prints (1,1,2) since in the example (1,1,2,0) happens twice from IDs 5 and 6. Any suggestions would be really appreciated.

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  • Write out to text file using T-SQL

    - by sasfrog
    I am creating a basic data transfer task using TSQL where I am retrieving certain records from one database that are more recent than a given datetime value, and loading them into another database. This will happen periodically throughout the day. It's such a small task that SSIS seems like overkill - I want to just use a scheduled task which runs a .sql file. Where I need guidance is that I need to persist the datetime from the last run of this task, then use this to filter the records next time the task runs. My initial thought is to just store the datetime in a text file, and update (overwrite) it as part of the task each time it runs. I can read the file in without problems using T-SQL, but writing back out has got me stuck. I've seen plenty of examples which make use of a dynamically-built bcp command, which is then executed using xp_cmdshell. Trouble is, security on the server I'm deploying to precludes the use of xp_cmdshell. So, my question is, are there other ways to simply write a datetime value to a file using TSQL, or should I be thinking about a different approach? EDIT: happy to be corrected about SSIS being "overkill"...

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  • Stop SQL returning the same result twice in a JOIN

    - by nbs189
    I have joined together several tables to get data i want but since I am new to SQL i can't figure out how to stop data being returned more than once. her's the SQL statement; SELECT T.url, T.ID, S.status, S.ID, E.action, E.ID, E.timestamp FROM tracks T, status S, events E WHERE S.ID AND T.ID = E.ID ORDER BY E.timestamp DESC The data that is returned is something like this; +----------------------------------------------------------------+ | URL | ID | Status | ID | action | ID | timestamp | +----------------------------------------------------------------+ | T.1 | 4 | hello | 4 | has uploaded a track | 4 | time | | T.2 | 3 | bye | 3 | has some news | 3 | time | | t.1 | 4 | more | 4 | has some news | 4 | time | +----------------------------------------------------------------+ That's a very basic example but does outline what happens. If you look at the third row the URL is repeated when there is a different status. This is what I want to happen; +-------------------------------------------------------+ | URL or Status | ID | action | timestamp | +-------------------------------------------------------+ | T.1 | 4 | has uploaded a track | time | | hello | 3 | has some news | time | | bye | 4 | has some news | time | +-------------------------------------------------------+ Please notice that the the url (in this case the mock one is T.1) is shown when the action is has uploaded a track. This is very important. The action in the events table is inserted on trigger of a status or track insert. If a new track is inserted the action is 'has uploaded a track' and you guess what it is for a status. The ID and timestamp is also inserted into the events table at this point. Note: There are more tables that go into the query, 3 more in fact, but I have left them out for simplicity.

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  • Manipulating data in sql / asp.net / c# - how?

    - by SLC
    Not sure how to word the question... Basically, so far all my SQL stuff has been stored procedures and dumped into a gridview. The odd case where I had to perform an action based on a value (such as highlighting a row green if a certain value was true) were done as the gridview was rendering in one of the overrides. Now however I have to do something far more complicated - pull three sets of data down, run a series of checks on all three and some date related checks and stuff, then populate a gridview with some of the items. In logic terms, I want to run three queries, and store the lists of results (presumably in Lists?) then run some logic, then populate the gridview. Specifically what I don't know how to do is: Best way of pulling the data, and putting it into a List or other datastructure that lets me easily run through it, and retrieve data based on column (myList.age, or more likely, myList["Age"]). One I have compared the data, I assume I create a new list that will be put into the gridview... how do I put the contents of a list INTO a gridview? How would I add other stuff such as buttons or checkboxes at the same time? Any nudge in the right direction would be appreciated! Particularly doing cool stuff with lists and sql (if there is anything cool you can do with them)

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  • Why could "insert (...) values (...)" not insert a new row?

    - by nang
    Hi, I have a simple SQL insert statement of the form: insert into MyTable (...) values (...) It is used repeatedly to insert rows and usually works as expected. It inserts exactly 1 row to MyTable, which is also the value returned by the Delphi statement AffectedRows:= myInsertADOQuery.ExecSQL. After some time there was a temporary network connectivity problem. As a result, other threads of the same application perceived EOleExceptions (Connection failure, -2147467259 = unspecified error). Later, the network connection was reestablished, these threads reconnected and were fine. The thread responsible for executing the insert statement described above, however, did not perceive the connectivity problems (No exceptions) - probably it was simply not executed while the network was down. But after the network connectivity problems myInsertADOQuery.ExecSQL always returned 0 and no rows were inserted to MyTable anymore. After a restart of the application the insert statement worked again as expected. For SQL Server, is there any defined case where an insert statment like the one above would not insert a row and return 0 as the number of affected rows? Primary key is an autogenerated GUID. There are no unique or check constraints (which should result in an exception anyway rather than not inserting a row). Are there any known ADO bugs (Provider=SQLOLEDB.1)? Any other explanations for this behaviour? Thanks, Nang.

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  • Fixing Robocopy for SQL Server Jobs

    - by Most Valuable Yak (Rob Volk)
    Robocopy is one of, if not the, best life-saving/greatest-thing-since-sliced-bread command line utilities ever to come from Microsoft.  If you're not using it already, what are you waiting for? Of course, being a Microsoft product, it's not exactly perfect. ;)  Specifically, it sets the ERRORLEVEL to a non-zero value even if the copy is successful.  This causes a problem in SQL Server job steps, since non-zero ERRORLEVELs report as failed. You can work around this by having your SQL job go to the next step on failure, but then you can't determine if there was a genuine error.  Plus you still see annoying red X's in your job history.  One way I've found to avoid this is to use a batch file that runs Robocopy, and I add some commands after it (in red): robocopy d:\backups \\BackupServer\BackupFolder *.bak rem suppress successful robocopy exit statuses, only report genuine errors (bitmask 16 and 8 settings)set/A errlev="%ERRORLEVEL% & 24" rem exit batch file with errorlevel so SQL job can succeed or fail appropriatelyexit/B %errlev% (The REM statements are simply comments and don't need to be included in the batch file) The SET command lets you use expressions when you use the /A switch.  So I set an environment variable "errlev" to a bitwise AND with the ERRORLEVEL value. Robocopy's exit codes use a bitmap/bitmask to specify its exit status.  The bits for 1, 2, and 4 do not indicate any kind of failure, but 8 and 16 do.  So by adding 16 + 8 to get 24, and doing a bitwise AND, I suppress any of the other bits that might be set, and allow either or both of the error bits to pass. The next step is to use the EXIT command with the /B switch to set a new ERRORLEVEL value, using the "errlev" variable.  This will now return zero (unless Robocopy had real errors) and allow your SQL job step to report success. This technique should also work for other command-line utilities.  The only issues I've found is that it requires the commands to be part of a batch file, so if you use Robocopy directly in your SQL job step you'd need to place it in a batch.  If you also have multiple Robocopy calls, you'll need to place the SET/A command ONLY after the last one.  You'd therefore lose any errors from previous calls, unless you use multiple "errlev" variables and AND them together. (I'll leave this as an exercise for the reader) The SET/A syntax also permits other kinds of expressions to be calculated.  You can get a full list by running "SET /?" on a command prompt.

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  • Using linked servers, OPENROWSET and OPENQUERY

    - by BuckWoody
    SQL Server has a few mechanisms to reach out to another server (even another server type) and query data from within a Transact-SQL statement. Among them are a set of stored credentials and information (called a Linked Server), a statement that uses a linked server called called OPENQUERY, another called OPENROWSET, and one called OPENDATASOURCE. This post isn’t about those particular functions or statements – hit the links for more if you’re new to those topics. I’m actually more concerned about where I see these used than the particular method. In many cases, a Linked server isn’t another Relational Database Management System (RDMBS) like Oracle or DB2 (which is possible with a linked server), but another SQL Server. My concern is that linked servers are the new Data Transformation Services (DTS) from SQL Server 2000 – something that was designed for one purpose but which is being morphed into something much more. In the case of DTS, most of us turned that feature into a full-fledged job system. What was designed as a simple data import and export system has been pressed into service doing logic, routing and timing. And of course we all know how painful it was to move off of a complex DTS system onto SQL Server Integration Services. In the case of linked servers, what should be used as a method of running a simple query or two on another server where you have occasional connection or need a quick import of a small data set is morphing into a full federation strategy. In some cases I’ve seen a complex web of linked servers, and when credentials, names or anything else changes there are huge problems. Now don’t get me wrong – linked servers and other forms of distributing queries is a fantastic set of tools that we have to move data around. I’m just saying that when you start having lots of workarounds and when things get really complicated, you might want to step back a little and ask if there’s a better way. Are you able to tolerate some latency? Perhaps you’re able to use Service Broker. Would you like to be platform-independent on the data source? Perhaps a middle-tier might make more sense, abstracting the queries there and sending them to the proper server. Designed properly, I’ve seen these systems scale further and be more resilient than loading up on linked servers. Share this post: email it! | bookmark it! | digg it! | reddit! | kick it! | live it!

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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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  • Create Outlook Appointments from PowerShell

    - by BuckWoody
    I've been toying around with a script to create a special set of calendar objects in Outlook that show when my SQL Server Agent Jobs are scheduled to run. I haven't finished yet, but I thought I would share the part that creates the Outlook Appointments.I have yet to fill a variable with the start and end times, and then loop through that to create the appointments. I'm thinking I'll make the script below into a function, and feed it those variables in a loop. The script below creates a whole new Calendar Folder in Outlook called "SQL Server Agent Jobs". I also use categories quite a bit, so you'll see that too. Caution: If you plan to play with this script, do it on an isolated workstation, not on your "regular" Outlook calendar. Otherwise, you'll have lots of appointments in there that you don't care about!  # Add a new calendar item to a new Outlook folder called "SQL Server Agent Jobs" $outlook = new-object -com Outlook.Application $calendar = $outlook.Session.folders.Item(1).Folders.Item("SQL Server Agent Jobs") $appt = $calendar.Items.Add(1) # == olAppointmentItem $appt.Start = [datetime]"03/11/2010 11:00" $appt.End = [datetime]"03/11/2009 12:00" $appt.Subject = "JobName" $appt.Location = "ServerName" $appt.Body = "Job Details" $appt.Categories = "SQL server Agent Job" $appt.Save()   Script Disclaimer, for people who need to be told this sort of thing: Never trust any script, including those that you find here, until you understand exactly what it does and how it will act on your systems. Always check the script on a test system or Virtual Machine, not a production system. All scripts on this site are performed by a professional stunt driver on a closed course. Your mileage may vary. Void where prohibited. Offer good for a limited time only. Keep out of reach of small children. Do not operate heavy machinery while using this script. If you experience blurry vision, indigestion or diarrhea during the operation of this script, see a physician immediately.   Share this post: email it! | bookmark it! | digg it! | reddit! | kick it! | live it!

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  • SQL Server Memory Manager Changes in Denali

    - by SQLOS Team
    The next version of SQL Server will contain significant changes to the memory manager component.  The memory manager component has been rewritten for Denali.  In the previous versions of SQL Server there were two distinct memory managers.  There was one memory manager which handled allocation sizes of 8k or less and another for greater than 8k.  For Denali there will be one memory manager for all allocation sizes.   The majority of the changes will be transparent to the end user.  However, some changes will be visible to the user.  These are listed below: ·         The ‘max server memory’ configuration option has new lower limits.  Specifically, 32-bit versions of SQL Server will have a lower limit of 64 MB.  The 64-bit versions will have a lower limit of 128 MB. ·         All memory allocations by SQL Server components will observe the ‘max server memory’ configuration option.  In previous SQL versions only the 8k allocations were limited the ‘max server memory’ configuration option.  Allocations larger than 8k weren’t constrained. ·         DMVs which refer to memory manager internals have been modified.  This includes adding or removing columns and changing column names. ·         The memory manager configuration messages in the error log have minor changes. ·         DBCC memorystatus output has been changed. ·         Address Windowing Extensions (AWE) has been deprecated.   In the next blog post I will discuss the changes to the memory manager DMVs in greater detail.  In future blog posts I will discuss the other changes in greater detail.  

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  • SQL IO and SAN troubles

    - by James
    We are running two servers with identical software setup but different hardware. The first one is a VM on VMWare on a normal tower server with dual core xeons, 16 GB RAM and a 7200 RPM drive. The second one is a VM on XenServer on a powerful brand new rack server, with 4 core xeons and shared storage. We are running Dynamics AX 2012 and SQL Server 2008 R2. When I insert 15 000 records into a table on the slow tower server (as a test), it does so in 13 seconds. On the fast server it takes 33 seconds. I re-ran these tests several times with the same results. I have a feeling it is some sort of IO bottleneck, so I ran SQLIO on both. Here are the results for the slow tower server: C:\Program Files (x86)\SQLIO>test.bat C:\Program Files (x86)\SQLIO>sqlio -kW -t8 -s120 -o8 -frandom -b8 -BH -LS C:\Tes tFile.dat sqlio v1.5.SG using system counter for latency timings, 14318180 counts per second 8 threads writing for 120 secs to file C:\TestFile.dat using 8KB random IOs enabling multiple I/Os per thread with 8 outstanding buffering set to use hardware disk cache (but not file cache) using current size: 5120 MB for file: C:\TestFile.dat initialization done CUMULATIVE DATA: throughput metrics: IOs/sec: 226.97 MBs/sec: 1.77 latency metrics: Min_Latency(ms): 0 Avg_Latency(ms): 281 Max_Latency(ms): 467 histogram: ms: 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24+ %: 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 99 C:\Program Files (x86)\SQLIO>sqlio -kR -t8 -s120 -o8 -frandom -b8 -BH -LS C:\Tes tFile.dat sqlio v1.5.SG using system counter for latency timings, 14318180 counts per second 8 threads reading for 120 secs from file C:\TestFile.dat using 8KB random IOs enabling multiple I/Os per thread with 8 outstanding buffering set to use hardware disk cache (but not file cache) using current size: 5120 MB for file: C:\TestFile.dat initialization done CUMULATIVE DATA: throughput metrics: IOs/sec: 91.34 MBs/sec: 0.71 latency metrics: Min_Latency(ms): 14 Avg_Latency(ms): 699 Max_Latency(ms): 1124 histogram: ms: 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24+ %: 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 100 C:\Program Files (x86)\SQLIO>sqlio -kW -t8 -s120 -o8 -fsequential -b64 -BH -LS C :\TestFile.dat sqlio v1.5.SG using system counter for latency timings, 14318180 counts per second 8 threads writing for 120 secs to file C:\TestFile.dat using 64KB sequential IOs enabling multiple I/Os per thread with 8 outstanding buffering set to use hardware disk cache (but not file cache) using current size: 5120 MB for file: C:\TestFile.dat initialization done CUMULATIVE DATA: throughput metrics: IOs/sec: 1094.50 MBs/sec: 68.40 latency metrics: Min_Latency(ms): 0 Avg_Latency(ms): 58 Max_Latency(ms): 467 histogram: ms: 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24+ %: 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 100 C:\Program Files (x86)\SQLIO>sqlio -kR -t8 -s120 -o8 -fsequential -b64 -BH -LS C :\TestFile.dat sqlio v1.5.SG using system counter for latency timings, 14318180 counts per second 8 threads reading for 120 secs from file C:\TestFile.dat using 64KB sequential IOs enabling multiple I/Os per thread with 8 outstanding buffering set to use hardware disk cache (but not file cache) using current size: 5120 MB for file: C:\TestFile.dat initialization done CUMULATIVE DATA: throughput metrics: IOs/sec: 1155.31 MBs/sec: 72.20 latency metrics: Min_Latency(ms): 17 Avg_Latency(ms): 55 Max_Latency(ms): 205 histogram: ms: 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24+ %: 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 100 Here are the results of the fast rack server: C:\Program Files (x86)\SQLIO>test.bat C:\Program Files (x86)\SQLIO>sqlio -kW -t8 -s120 -o8 -frandom -b8 -BH -LS E:\Tes tFile.dat sqlio v1.5.SG using system counter for latency timings, 62500000 counts per second 8 threads writing for 120 secs to file E:\TestFile.dat using 8KB random IOs enabling multiple I/Os per thread with 8 outstanding buffering set to use hardware disk cache (but not file cache) open_file: CreateFile (E:\TestFile.dat for write): The system cannot find the pa th specified. exiting C:\Program Files (x86)\SQLIO>sqlio -kR -t8 -s120 -o8 -frandom -b8 -BH -LS E:\Tes tFile.dat sqlio v1.5.SG using system counter for latency timings, 62500000 counts per second 8 threads reading for 120 secs from file E:\TestFile.dat using 8KB random IOs enabling multiple I/Os per thread with 8 outstanding buffering set to use hardware disk cache (but not file cache) open_file: CreateFile (E:\TestFile.dat for read): The system cannot find the pat h specified. exiting C:\Program Files (x86)\SQLIO>sqlio -kW -t8 -s120 -o8 -fsequential -b64 -BH -LS E :\TestFile.dat sqlio v1.5.SG using system counter for latency timings, 62500000 counts per second 8 threads writing for 120 secs to file E:\TestFile.dat using 64KB sequential IOs enabling multiple I/Os per thread with 8 outstanding buffering set to use hardware disk cache (but not file cache) open_file: CreateFile (E:\TestFile.dat for write): The system cannot find the pa th specified. exiting C:\Program Files (x86)\SQLIO>sqlio -kR -t8 -s120 -o8 -fsequential -b64 -BH -LS E :\TestFile.dat sqlio v1.5.SG using system counter for latency timings, 62500000 counts per second 8 threads reading for 120 secs from file E:\TestFile.dat using 64KB sequential IOs enabling multiple I/Os per thread with 8 outstanding buffering set to use hardware disk cache (but not file cache) open_file: CreateFile (E:\TestFile.dat for read): The system cannot find the pat h specified. exiting C:\Program Files (x86)\SQLIO>test.bat C:\Program Files (x86)\SQLIO>sqlio -kW -t8 -s120 -o8 -frandom -b8 -BH -LS c:\Tes tFile.dat sqlio v1.5.SG using system counter for latency timings, 62500000 counts per second 8 threads writing for 120 secs to file c:\TestFile.dat using 8KB random IOs enabling multiple I/Os per thread with 8 outstanding buffering set to use hardware disk cache (but not file cache) using current size: 5120 MB for file: c:\TestFile.dat initialization done CUMULATIVE DATA: throughput metrics: IOs/sec: 2575.77 MBs/sec: 20.12 latency metrics: Min_Latency(ms): 1 Avg_Latency(ms): 24 Max_Latency(ms): 655 histogram: ms: 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24+ %: 0 0 0 5 8 9 9 9 8 5 3 1 1 1 1 0 0 0 0 0 0 0 0 0 37 C:\Program Files (x86)\SQLIO>sqlio -kR -t8 -s120 -o8 -frandom -b8 -BH -LS c:\Tes tFile.dat sqlio v1.5.SG using system counter for latency timings, 62500000 counts per second 8 threads reading for 120 secs from file c:\TestFile.dat using 8KB random IOs enabling multiple I/Os per thread with 8 outstanding buffering set to use hardware disk cache (but not file cache) using current size: 5120 MB for file: c:\TestFile.dat initialization done CUMULATIVE DATA: throughput metrics: IOs/sec: 1141.39 MBs/sec: 8.91 latency metrics: Min_Latency(ms): 1 Avg_Latency(ms): 55 Max_Latency(ms): 652 histogram: ms: 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24+ %: 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 1 1 1 91 C:\Program Files (x86)\SQLIO>sqlio -kW -t8 -s120 -o8 -fsequential -b64 -BH -LS c :\TestFile.dat sqlio v1.5.SG using system counter for latency timings, 62500000 counts per second 8 threads writing for 120 secs to file c:\TestFile.dat using 64KB sequential IOs enabling multiple I/Os per thread with 8 outstanding buffering set to use hardware disk cache (but not file cache) using current size: 5120 MB for file: c:\TestFile.dat initialization done CUMULATIVE DATA: throughput metrics: IOs/sec: 341.37 MBs/sec: 21.33 latency metrics: Min_Latency(ms): 5 Avg_Latency(ms): 186 Max_Latency(ms): 120037 histogram: ms: 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24+ %: 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 100 C:\Program Files (x86)\SQLIO>sqlio -kR -t8 -s120 -o8 -fsequential -b64 -BH -LS c :\TestFile.dat sqlio v1.5.SG using system counter for latency timings, 62500000 counts per second 8 threads reading for 120 secs from file c:\TestFile.dat using 64KB sequential IOs enabling multiple I/Os per thread with 8 outstanding buffering set to use hardware disk cache (but not file cache) using current size: 5120 MB for file: c:\TestFile.dat initialization done CUMULATIVE DATA: throughput metrics: IOs/sec: 1024.07 MBs/sec: 64.00 latency metrics: Min_Latency(ms): 5 Avg_Latency(ms): 61 Max_Latency(ms): 81632 histogram: ms: 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24+ %: 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 100 Three of the four tests are, to my mind, within reasonable parameters for the rack server. However, the 64 write test is incredibly slow on the rack server. (68 mb/sec on the slow tower vs 21 mb/s on the rack). The read speed for 64k also seems slow. Is this enough to say there is some sort of bottleneck with the shared storage? I need to know if I can take this evidence and say we need to launch an investigation into this. Any help is appreciated.

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  • Cisco ASA5505 8.2 Multiple Outside IP to Multiple Inside IP

    - by GriffJ
    Trying to setup ASA5505. Semi working but having issues with accessing services from the outside. ASA5505 Basic License, Version 8.2. (plus upgrade to unlimited inside hosts). Alert: I'm a Cisco Noob. 321.321.39.X is a place holder for privacy. I came up with this config and tested it tonight. ASA Version 8.2(1) ! hostname <removed> domain-name <removed> enable password <removed> encrypted passwd <removed> encrypted names ! interface Vlan1 nameif inside security-level 100 ip address 172.21.36.1 255.255.252.0 ! interface Vlan2 nameif outside security-level 0 ip address 321.321.39.10 255.255.255.248 ! interface Ethernet0/0 switchport access vlan 2 ! interface Ethernet0/1 ! interface Ethernet0/2 ! interface Ethernet0/3 ! interface Ethernet0/4 ! interface Ethernet0/5 ! interface Ethernet0/6 ! interface Ethernet0/7 ! ftp mode passive dns server-group DefaultDNS domain-name <removed> access-list outside_inbound extended permit tcp any host 321.321.39.10 eq pptp access-list outside_inbound extended permit tcp any host 321.321.39.11 eq https access-list outside_inbound extended permit tcp any host 321.321.39.11 eq 993 access-list outside_inbound extended permit tcp any host 321.321.39.11 eq smtp access-list outside_inbound extended permit tcp any host 321.321.39.11 eq 1001 access-list outside_inbound extended permit tcp any host 321.321.39.11 eq 465 access-list outside_inbound extended permit tcp any host 321.321.39.11 eq domain access-list outside_inbound extended permit udp any eq domain host 321.321.39.11 eq domain access-list outside_inbound extended permit tcp any host 321.321.39.12 eq www access-list outside_inbound extended permit tcp any host 321.321.39.12 eq https access-list outside_inbound extended permit tcp any host 321.321.39.13 eq www access-list outside_inbound extended permit tcp any host 321.321.39.13 eq https access-list outside_inbound extended permit icmp any any echo-reply access-list outside_inbound extended permit icmp any any source-quench access-list outside_inbound extended permit icmp any any unreachable access-list outside_inbound extended permit icmp any any time-exceeded access-list outside_inbound extended permit icmp any any traceroute access-list outside_inbound extended permit icmp any any echo pager lines 24 logging asdm informational mtu inside 1500 mtu outside 1500 icmp unreachable rate-limit 1 burst-size 1 no asdm history enable arp timeout 14400 global (outside) 2 321.321.39.11-321.321.39.14 netmask 255.255.255.248 global (outside) 1 interface nat (inside) 1 0.0.0.0 0.0.0.0 static (inside,outside) tcp interface pptp 172.21.37.20 pptp netmask 255.255.255.255 static (inside,outside) 321.321.39.11 172.21.37.14 netmask 255.255.255.255 static (inside,outside) 321.321.39.12 172.21.37.24 netmask 255.255.255.255 static (inside,outside) 321.321.39.13 172.21.37.17 netmask 255.255.255.255 access-group outside_inbound in interface outside route outside 0.0.0.0 0.0.0.0 321.321.39.9 1 route inside 192.168.15.0 255.255.255.0 172.21.36.52 1 timeout xlate 3:00:00 timeout conn 1:00:00 half-closed 0:10:00 udp 0:02:00 icmp 0:00:02 timeout sunrpc 0:10:00 h323 0:05:00 h225 1:00:00 mgcp 0:05:00 mgcp-pat 0:05:00 timeout sip 0:30:00 sip_media 0:02:00 sip-invite 0:03:00 sip-disconnect 0:02:00 timeout sip-provisional-media 0:02:00 uauth 0:05:00 absolute timeout tcp-proxy-reassembly 0:01:00 dynamic-access-policy-record DfltAccessPolicy http server enable http 172.21.36.0 255.255.252.0 inside no snmp-server location no snmp-server contact snmp-server enable traps snmp authentication linkup linkdown coldstart crypto ipsec security-association lifetime seconds 28800 crypto ipsec security-association lifetime kilobytes 4608000 telnet 172.21.36.0 255.255.252.0 inside telnet timeout 60 ssh timeout 5 console timeout 0 threat-detection basic-threat threat-detection statistics access-list no threat-detection statistics tcp-intercept webvpn ! class-map inspection_default match default-inspection-traffic ! ! policy-map type inspect dns preset_dns_map parameters message-length maximum 512 policy-map global_policy class inspection_default inspect dns preset_dns_map inspect ftp inspect h323 h225 inspect h323 ras inspect rsh inspect rtsp inspect sqlnet inspect skinny inspect sunrpc inspect xdmcp inspect sip inspect netbios inspect tftp inspect pptp inspect ipsec-pass-thru inspect http ! service-policy global_policy global prompt hostname context The servers that had static forwards did not have any outside network access. couldn't ping google.com for instance. mail server couldn't Domain POP the Barracuda spam filter from our ISP etc. So after doing some reading I removed the statics for 172.21.37.11, 12 and 13, and replaced those three with what's below.. static (inside,outside) tcp 321.321.39.11 https 172.21.37.14 https netmask 255.255.255.255 static (inside,outside) tcp 321.321.39.11 993 172.21.37.14 993 netmask 255.255.255.255 static (inside,outside) tcp 321.321.39.11 smtp 172.21.37.14 smtp netmask 255.255.255.255 static (inside,outside) tcp 321.321.39.11 1001 172.21.37.14 1001 netmask 255.255.255.255 static (inside,outside) tcp 321.321.39.11 465 172.21.37.14 465 netmask 255.255.255.255 static (inside,outside) tcp 321.321.39.11 domain 172.21.37.14 domain netmask 255.255.255.255 static (inside,outside) tcp 321.321.39.12 www 172.21.37.24 www netmask 255.255.255.255 static (inside,outside) tcp 321.321.39.12 https 172.21.37.24 https netmask 255.255.255.255 static (inside,outside) tcp 321.321.39.13 www 172.21.37.17 www netmask 255.255.255.255 static (inside,outside) tcp 321.321.39.13 https 172.21.37.17 https netmask 255.255.255.255 Now the servers (for instance 172.21.37.14) could ping the outside world again. Mail started flowing (Domain POP was successful) etc. etc. But I forgot to check if webmail worked from the outside admittedly. But the webservers at 172.21.37.17 and 172.21.37.24 still didn't respond from the outside world. Although I was able to PPTP VPN in on 321.321.39.10 (interface) which is the outside interface IP address. and it is static mapped to 172.21.37.20. So I'm thinking there must be something wrong with NAT somewhere? no response from 321.321.39.11 to 321.321.39.14.. Could anyone look over the config and please let me know what I've done wrong? Is there something I've missed? well obviously but.. please help! Thank you.

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  • Sensible Way to Pass Web Data in XML to a SQL Server Database

    - by Emtucifor
    After exploring several different ways to pass web data to a database for update purposes, I'm wondering if XML might be a good strategy. The database is currently SQL 2000. In a few months it will move to SQL 2005 and I will be able to change things if needed, but I need a SQL 2000 solution now. First of all, the database in question uses the EAV model. I know that this kind of database is generally highly frowned on, so for the purposes of this question, please just accept that this is not going to change. The current update method has the web server inserting values (that have all been converted first to their correct underlying types, then to sql_variant) to a temp table. A stored procedure is then run which expects the temp table to exist and it takes care of updating, inserting, or deleting things as needed. So far, only a single element has needed to be updated at a time. But now, there is a requirement to be able to edit multiple elements at once, and also to support hierarchical elements, each of which can have its own list of attributes. Here's some example XML I hand-typed to demonstrate what I'm thinking of. Note that in this database the Entity is Element and an ID of 0 signifies "create" aka an insert of a new item. <Elements> <Element ID="1234"> <Attr ID="221">Value</Attr> <Attr ID="225">287</Attr> <Attr ID="234"> <Element ID="99825"> <Attr ID="7">Value1</Attr> <Attr ID="8">Value2</Attr> <Attr ID="9" Action="delete" /> </Element> <Element ID="99826" Action="delete" /> <Element ID="0" Type="24"> <Attr ID="7">Value4</Attr> <Attr ID="8">Value5</Attr> <Attr ID="9">Value6</Attr> </Element> <Element ID="0" Type="24"> <Attr ID="7">Value7</Attr> <Attr ID="8">Value8</Attr> <Attr ID="9">Value9</Attr> </Element> </Attr> <Rel ID="3827" Action="delete" /> <Rel ID="2284" Role="parent"> <Element ID="3827" /> <Element ID="3829" /> <Attr ID="665">1</Attr> </Rel> <Rel ID="0" Type="23" Role="child"> <Element ID="3830" /> <Attr ID="67" </Rel> </Element> <Element ID="0" Type="87"> <Attr ID="221">Value</Attr> <Attr ID="225">569</Attr> <Attr ID="234"> <Element ID="0" Type="24"> <Attr ID="7">Value10</Attr> <Attr ID="8">Value11</Attr> <Attr ID="9">Value12</Attr> </Element> </Attr> </Element> <Element ID="1235" Action="delete" /> </Elements> Some Attributes are straight value types, such as AttrID 221. But AttrID 234 is a special "multi-value" type that can have a list of elements underneath it, and each one can have one or more values. Types only need to be presented when a new item is created, since the ElementID fully implies the type if it already exists. I'll probably support only passing in changed items (as detected by javascript). And there may be an Action="Delete" on Attr elements as well, since NULLs are treated as "unselected"--sometimes it's very important to know if a Yes/No question has intentionally been answered No or if no one's bothered to say Yes yet. There is also a different kind of data, a Relationship. At this time, those are updated through individual AJAX calls as things are edited in the UI, but I'd like to include those so that changes to relationships can be canceled (right now, once you change it, it's done). So those are really elements, too, but they are called Rel instead of Element. Relationships are implemented as ElementID1 and ElementID2, so the RelID 2284 in the XML above is in the database as: ElementID 2284 ElementID1 1234 ElementID2 3827 Having multiple children in one relationship isn't currently supported, but it would be nice later. Does this strategy and the example XML make sense? Is there a more sensible way? I'm just looking for some broad critique to help save me from going down a bad path. Any aspect that you'd like to comment on would be helpful. The web language happens to be Classic ASP, but that could change to ASP.Net at some point. A persistence engine like Linq or nHibernate is probably not acceptable right now--I just want to get this already working application enhanced without a huge amount of development time. I'll choose the answer that shows experience and has a balance of good warnings about what not to do, confirmations of what I'm planning to do, and recommendations about something else to do. I'll make it as objective as possible. P.S. I'd like to handle unicode characters as well as very long strings (10k +). UPDATE I have had this working for some time and I used the ADO Recordset Save-To-Stream trick to make creating the XML really easy. The result seems to be fairly fast, though if speed ever becomes a problem I may revisit this. In the meantime, my code works to handle any number of elements and attributes on the page at once, including updating, deleting, and creating new items all in one go. I settled on a scheme like so for all my elements: Existing data elements Example: input name e12345_a678 (element 12345, attribute 678), the input value is the value of the attribute. New elements Javascript copies a hidden template of the set of HTML elements needed for the type into the correct location on the page, increments a counter to get a new ID for this item, and prepends the number to the names of the form items. var newid = 0; function metadataAdd(reference, nameid, value) { var t = document.createElement('input'); t.setAttribute('name', nameid); t.setAttribute('id', nameid); t.setAttribute('type', 'hidden'); t.setAttribute('value', value); reference.appendChild(t); } function multiAdd(target, parentelementid, attrid, elementtypeid) { var proto = document.getElementById('a' + attrid + '_proto'); var instance = document.createElement('p'); target.parentNode.parentNode.insertBefore(instance, target.parentNode); var thisid = ++newid; instance.innerHTML = proto.innerHTML.replace(/{prefix}/g, 'n' + thisid + '_'); instance.id = 'n' + thisid; instance.className += ' new'; metadataAdd(instance, 'n' + thisid + '_p', parentelementid); metadataAdd(instance, 'n' + thisid + '_c', attrid); metadataAdd(instance, 'n' + thisid + '_t', elementtypeid); return false; } Example: Template input name _a678 becomes n1_a678 (a new element, the first one on the page, attribute 678). all attributes of this new element are tagged with the same prefix of n1. The next new item will be n2, and so on. Some hidden form inputs are created: n1_t, value is the elementtype of the element to be created n1_p, value is the parent id of the element (if it is a relationship) n1_c, value is the child id of the element (if it is a relationship) Deleting elements A hidden input is created in the form e12345_t with value set to 0. The existing controls displaying that attribute's values are disabled so they are not included in the form post. So "set type to 0" is treated as delete. With this scheme, every item on the page has a unique name and can be distinguished properly, and every action can be represented properly. When the form is posted, here's a sample of building one of the two recordsets used (classic ASP code): Set Data = Server.CreateObject("ADODB.Recordset") Data.Fields.Append "ElementID", adInteger, 4, adFldKeyColumn Data.Fields.Append "AttrID", adInteger, 4, adFldKeyColumn Data.Fields.Append "Value", adLongVarWChar, 2147483647, adFldIsNullable Or adFldMayBeNull Data.CursorLocation = adUseClient Data.CursorType = adOpenDynamic Data.Open This is the recordset for values, the other is for the elements themselves. I step through the posted form and for the element recordset use a Scripting.Dictionary populated with instances of a custom Class that has the properties I need, so that I can add the values piecemeal, since they don't always come in order. New elements are added as negative to distinguish them from regular elements (rather than requiring a separate column to indicate if it is new or addresses an existing element). I use regular expression to tear apart the form keys: "^(e|n)([0-9]{1,10})_(a|p|t|c)([0-9]{0,10})$" Then, adding an attribute looks like this. Data.AddNew ElementID.Value = DataID AttrID.Value = Integerize(Matches(0).SubMatches(3)) AttrValue.Value = Request.Form(Key) Data.Update ElementID, AttrID, and AttrValue are references to the fields of the recordset. This method is hugely faster than using Data.Fields("ElementID").Value each time. I loop through the Dictionary of element updates and ignore any that don't have all the proper information, adding the good ones to the recordset. Then I call my data-updating stored procedure like so: Set Cmd = Server.CreateObject("ADODB.Command") With Cmd Set .ActiveConnection = MyDBConn .CommandType = adCmdStoredProc .CommandText = "DataPost" .Prepared = False .Parameters.Append .CreateParameter("@ElementMetadata", adLongVarWChar, adParamInput, 2147483647, XMLFromRecordset(Element)) .Parameters.Append .CreateParameter("@ElementData", adLongVarWChar, adParamInput, 2147483647, XMLFromRecordset(Data)) End With Result.Open Cmd ' previously created recordset object with options set Here's the function that does the xml conversion: Private Function XMLFromRecordset(Recordset) Dim Stream Set Stream = Server.CreateObject("ADODB.Stream") Stream.Open Recordset.Save Stream, adPersistXML Stream.Position = 0 XMLFromRecordset = Stream.ReadText End Function Just in case the web page needs to know, the SP returns a recordset of any new elements, showing their page value and their created value (so I can see that n1 is now e12346 for example). Here are some key snippets from the stored procedure. Note this is SQL 2000 for now, though I'll be able to switch to 2005 soon: CREATE PROCEDURE [dbo].[DataPost] @ElementMetaData ntext, @ElementData ntext AS DECLARE @hdoc int --- snip --- EXEC sp_xml_preparedocument @hdoc OUTPUT, @ElementMetaData, '<xml xmlns:s="uuid:BDC6E3F0-6DA3-11d1-A2A3-00AA00C14882" xmlns:dt="uuid:C2F41010-65B3-11d1-A29F-00AA00C14882" xmlns:rs="urn:schemas-microsoft-com:rowset" xmlns:z="#RowsetSchema" />' INSERT #ElementMetadata (ElementID, ElementTypeID, ElementID1, ElementID2) SELECT * FROM OPENXML(@hdoc, '/xml/rs:data/rs:insert/z:row', 0) WITH ( ElementID int, ElementTypeID int, ElementID1 int, ElementID2 int ) ORDER BY ElementID -- orders negative items (new elements) first so they begin counting at 1 for later ID calculation EXEC sp_xml_removedocument @hdoc --- snip --- UPDATE E SET E.ElementTypeID = M.ElementTypeID FROM Element E INNER JOIN #ElementMetadata M ON E.ElementID = M.ElementID WHERE E.ElementID >= 1 AND M.ElementTypeID >= 1 The following query does the correlation of the negative new element ids to the newly inserted ones: UPDATE #ElementMetadata -- Correlate the new ElementIDs with the input rows SET NewElementID = Scope_Identity() - @@RowCount + DataID WHERE ElementID < 0 Other set-based queries do all the other work of validating that the attributes are allowed, are the correct data type, and inserting, updating, and deleting elements and attributes. I hope this brief run-down is useful to others some day! Converting ADO Recordsets to an XML stream was a huge winner for me as it saved all sorts of time and had a namespace and schema already defined that made the results come out correctly. Using a flatter XML format with 2 inputs was also much easier than sticking to some ideal about having everything in a single XML stream.

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  • Sensible Way to Pass Web Data to Sql Server Database

    - by Emtucifor
    After exploring several different ways to pass web data to a database for update purposes, I'm wondering if XML might be a good strategy. The database is currently SQL 2000. In a few months it will move to SQL 2005 and I will be able to change things if needed, but I need a SQL 2000 solution now. First of all, the database in question uses the EAV model. I know that this kind of database is generally highly frowned on, so for the purposes of this question, please just accept that this is not going to change. The current update method has the web server inserting values (that have all been converted first to their correct underlying types, then to sql_variant) to a temp table. A stored procedure is then run which expects the temp table to exist and it takes care of updating, inserting, or deleting things as needed. So far, only a single element has needed to be updated at a time. But now, there is a requirement to be able to edit multiple elements at once, and also to support hierarchical elements, each of which can have its own list of attributes. Here's some example XML I hand-typed to demonstrate what I'm thinking of. Note that in this database the Entity is Element and an ID of 0 signifies "create" aka an insert of a new item. <Elements> <Element ID="1234"> <Attr ID="221">Value</Attr> <Attr ID="225">287</Attr> <Attr ID="234"> <Element ID="99825"> <Attr ID="7">Value1</Attr> <Attr ID="8">Value2</Attr> <Attr ID="9" Action="delete" /> </Element> <Element ID="99826" Action="delete" /> <Element ID="0" Type="24"> <Attr ID="7">Value4</Attr> <Attr ID="8">Value5</Attr> <Attr ID="9">Value6</Attr> </Element> <Element ID="0" Type="24"> <Attr ID="7">Value7</Attr> <Attr ID="8">Value8</Attr> <Attr ID="9">Value9</Attr> </Element> </Attr> <Rel ID="3827" Action="delete" /> <Rel ID="2284" Role="parent"> <Element ID="3827" /> <Element ID="3829" /> <Attr ID="665">1</Attr> </Rel> <Rel ID="0" Type="23" Role="child"> <Element ID="3830" /> <Attr ID="67" </Rel> </Element> <Element ID="0" Type="87"> <Attr ID="221">Value</Attr> <Attr ID="225">569</Attr> <Attr ID="234"> <Element ID="0" Type="24"> <Attr ID="7">Value10</Attr> <Attr ID="8">Value11</Attr> <Attr ID="9">Value12</Attr> </Element> </Attr> </Element> <Element ID="1235" Action="delete" /> </Elements> Some Attributes are straight value types, such as AttrID 221. But AttrID 234 is a special "multi-value" type that can have a list of elements underneath it, and each one can have one or more values. Types only need to be presented when a new item is created, since the ElementID fully implies the type if it already exists. I'll probably support only passing in changed items (as detected by javascript). And there may be an Action="Delete" on Attr elements as well, since NULLs are treated as "unselected"--sometimes it's very important to know if a Yes/No question has intentionally been answered No or if no one's bothered to say Yes yet. There is also a different kind of data, a Relationship. At this time, those are updated through individual AJAX calls as things are edited in the UI, but I'd like to include those so that changes to relationships can be canceled (right now, once you change it, it's done). So those are really elements, too, but they are called Rel instead of Element. Relationships are implemented as ElementID1 and ElementID2, so the RelID 2284 in the XML above is in the database as: ElementID 2284 ElementID1 1234 ElementID2 3827 Having multiple children in one relationship isn't currently supported, but it would be nice later. Does this strategy and the example XML make sense? Is there a more sensible way? I'm just looking for some broad critique to help save me from going down a bad path. Any aspect that you'd like to comment on would be helpful. The web language happens to be Classic ASP, but that could change to ASP.Net at some point. A persistence engine like Linq or nHibernate is probably not acceptable right now--I just want to get this already working application enhanced without a huge amount of development time. I'll choose the answer that shows experience and has a balance of good warnings about what not to do, confirmations of what I'm planning to do, and recommendations about something else to do. I'll make it as objective as possible. P.S. I'd like to handle unicode characters as well as very long strings (10k +). UPDATE I have had this working for some time and I used the ADO Recordset Save-To-Stream trick to make creating the XML really easy. The result seems to be fairly fast, though if speed ever becomes a problem I may revisit this. In the meantime, my code works to handle any number of elements and attributes on the page at once, including updating, deleting, and creating new items all in one go. I settled on a scheme like so for all my elements: Existing data elements Example: input name e12345_a678 (element 12345, attribute 678), the input value is the value of the attribute. New elements Javascript copies a hidden template of the set of HTML elements needed for the type into the correct location on the page, increments a counter to get a new ID for this item, and prepends the number to the names of the form items. var newid = 0; function metadataAdd(reference, nameid, value) { var t = document.createElement('input'); t.setAttribute('name', nameid); t.setAttribute('id', nameid); t.setAttribute('type', 'hidden'); t.setAttribute('value', value); reference.appendChild(t); } function multiAdd(target, parentelementid, attrid, elementtypeid) { var proto = document.getElementById('a' + attrid + '_proto'); var instance = document.createElement('p'); target.parentNode.parentNode.insertBefore(instance, target.parentNode); var thisid = ++newid; instance.innerHTML = proto.innerHTML.replace(/{prefix}/g, 'n' + thisid + '_'); instance.id = 'n' + thisid; instance.className += ' new'; metadataAdd(instance, 'n' + thisid + '_p', parentelementid); metadataAdd(instance, 'n' + thisid + '_c', attrid); metadataAdd(instance, 'n' + thisid + '_t', elementtypeid); return false; } Example: Template input name _a678 becomes n1_a678 (a new element, the first one on the page, attribute 678). all attributes of this new element are tagged with the same prefix of n1. The next new item will be n2, and so on. Some hidden form inputs are created: n1_t, value is the elementtype of the element to be created n1_p, value is the parent id of the element (if it is a relationship) n1_c, value is the child id of the element (if it is a relationship) Deleting elements A hidden input is created in the form e12345_t with value set to 0. The existing controls displaying that attribute's values are disabled so they are not included in the form post. So "set type to 0" is treated as delete. With this scheme, every item on the page has a unique name and can be distinguished properly, and every action can be represented properly. When the form is posted, here's a sample of building one of the two recordsets used (classic ASP code): Set Data = Server.CreateObject("ADODB.Recordset") Data.Fields.Append "ElementID", adInteger, 4, adFldKeyColumn Data.Fields.Append "AttrID", adInteger, 4, adFldKeyColumn Data.Fields.Append "Value", adLongVarWChar, 2147483647, adFldIsNullable Or adFldMayBeNull Data.CursorLocation = adUseClient Data.CursorType = adOpenDynamic Data.Open This is the recordset for values, the other is for the elements themselves. I step through the posted form and for the element recordset use a Scripting.Dictionary populated with instances of a custom Class that has the properties I need, so that I can add the values piecemeal, since they don't always come in order. New elements are added as negative to distinguish them from regular elements (rather than requiring a separate column to indicate if it is new or addresses an existing element). I use regular expression to tear apart the form keys: "^(e|n)([0-9]{1,10})_(a|p|t|c)([0-9]{0,10})$" Then, adding an attribute looks like this. Data.AddNew ElementID.Value = DataID AttrID.Value = Integerize(Matches(0).SubMatches(3)) AttrValue.Value = Request.Form(Key) Data.Update ElementID, AttrID, and AttrValue are references to the fields of the recordset. This method is hugely faster than using Data.Fields("ElementID").Value each time. I loop through the Dictionary of element updates and ignore any that don't have all the proper information, adding the good ones to the recordset. Then I call my data-updating stored procedure like so: Set Cmd = Server.CreateObject("ADODB.Command") With Cmd Set .ActiveConnection = MyDBConn .CommandType = adCmdStoredProc .CommandText = "DataPost" .Prepared = False .Parameters.Append .CreateParameter("@ElementMetadata", adLongVarWChar, adParamInput, 2147483647, XMLFromRecordset(Element)) .Parameters.Append .CreateParameter("@ElementData", adLongVarWChar, adParamInput, 2147483647, XMLFromRecordset(Data)) End With Result.Open Cmd ' previously created recordset object with options set Here's the function that does the xml conversion: Private Function XMLFromRecordset(Recordset) Dim Stream Set Stream = Server.CreateObject("ADODB.Stream") Stream.Open Recordset.Save Stream, adPersistXML Stream.Position = 0 XMLFromRecordset = Stream.ReadText End Function Just in case the web page needs to know, the SP returns a recordset of any new elements, showing their page value and their created value (so I can see that n1 is now e12346 for example). Here are some key snippets from the stored procedure. Note this is SQL 2000 for now, though I'll be able to switch to 2005 soon: CREATE PROCEDURE [dbo].[DataPost] @ElementMetaData ntext, @ElementData ntext AS DECLARE @hdoc int --- snip --- EXEC sp_xml_preparedocument @hdoc OUTPUT, @ElementMetaData, '<xml xmlns:s="uuid:BDC6E3F0-6DA3-11d1-A2A3-00AA00C14882" xmlns:dt="uuid:C2F41010-65B3-11d1-A29F-00AA00C14882" xmlns:rs="urn:schemas-microsoft-com:rowset" xmlns:z="#RowsetSchema" />' INSERT #ElementMetadata (ElementID, ElementTypeID, ElementID1, ElementID2) SELECT * FROM OPENXML(@hdoc, '/xml/rs:data/rs:insert/z:row', 0) WITH ( ElementID int, ElementTypeID int, ElementID1 int, ElementID2 int ) ORDER BY ElementID -- orders negative items (new elements) first so they begin counting at 1 for later ID calculation EXEC sp_xml_removedocument @hdoc --- snip --- UPDATE E SET E.ElementTypeID = M.ElementTypeID FROM Element E INNER JOIN #ElementMetadata M ON E.ElementID = M.ElementID WHERE E.ElementID >= 1 AND M.ElementTypeID >= 1 The following query does the correlation of the negative new element ids to the newly inserted ones: UPDATE #ElementMetadata -- Correlate the new ElementIDs with the input rows SET NewElementID = Scope_Identity() - @@RowCount + DataID WHERE ElementID < 0 Other set-based queries do all the other work of validating that the attributes are allowed, are the correct data type, and inserting, updating, and deleting elements and attributes. I hope this brief run-down is useful to others some day! Converting ADO Recordsets to an XML stream was a huge winner for me as it saved all sorts of time and had a namespace and schema already defined that made the results come out correctly. Using a flatter XML format with 2 inputs was also much easier than sticking to some ideal about having everything in a single XML stream.

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  • Sep 10 Week - I'll be on the West Coast Speaking in Irvine and San Fran

    - by RickHeiges
    In my role as a Solutions Architect for Scalability Experts, I often get to present to customers about the work that we performed. Unfortunately, this is often on short notice and I can't coordinate a trip to participate in a User Group Meeting. Next week, I was able to coordinate my west coast trip to be able to present. I am heading to Irvine at the MTC on Sepember 11 and San Francisco at the MSFT offices on Sep 13 to speak to customers who want to learn more about SQL Server 2012.To register for...(read more)

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  • SQL Server devs–what source control system do you use, if any? (answer and maybe win free stuff)

    - by jamiet
    Recently I noticed a tweet from notable SQL Server author and community dude-at-large Steve Jones in which he asked how many SQL Server developers were putting their SQL Server source code (i.e. DDL) under source control (I’m paraphrasing because I can’t remember the exact tweet and Twitter’s search functionality is useless). The question surprised me slightly as I thought a more pertinent question would be “how many SQL Server developers are not using source control?” because I have been doing just that for many years now and I simply assumed that use of source control is a given in this day and age. Then I started thinking about it. “Perhaps I’m wrong” I pondered, “perhaps the SQL Server folks that do use source control in their day-to-day jobs are in the minority”. So, dear reader, I’m interested to know a little bit more about your use of source control. Are you putting your SQL Server code into a source control system? If so, what source control server software (e.g. TFS, Git, SVN, Mercurial, SourceSafe, Perforce) are you using? What source control client software are you using (e.g. TFS Team Explorer, Tortoise, Red Gate SQL Source Control, Red Gate SQL Connect, Git Bash, etc…)? Why did you make those particular software choices? Any interesting anecdotes to share in regard to your use of source control and SQL Server? To encourage you to contribute I have five pairs of licenses for Red Gate SQL Source Control and Red Gate SQL Connect to give away to what I consider to be the five best replies (“best” is totally subjective of course but this is my blog so my decision is final ), if you want to be considered don’t forget to leave contact details; email address, Twitter handle or similar will do. To start you off and to perhaps get the brain cells whirring, here are my answers to the questions above: Are you putting your SQL Server code into a source control system? As I think I’ve already said…yes. Always. If so, what source control server software (e.g. TFS, Git, SVN, Mercurial, SourceSafe, Perforce) are you using? I move around a lot between many clients so it changes on a fairly regular basis; my current client uses Team Foundation Server (aka TFS) and as part of a separate project is trialing the use of Team Foundation Service. I have used SVN extensively in the past which I am a fan of (I generally prefer it to TFS) and am trying to get my head around Git by using it for ObjectStorageHelper. What source control client software are you using (e.g. TFS Team Explorer, Tortoise, Red Gate SQL Source Control, Red Gate SQL Connect, Git Bash, etc…)? On my current project, Team Explorer. In the past I have used Tortoise to connect to SVN. Why did you make those particular software choices? I generally use whatever the client uses and given that I work with SQL Server I find that the majority of my clients use TFS, I guess simply because they are Microsoft development shops. Any interesting anecdotes to share in regard to your use of source control and SQL Server? Not an anecdote as such but I am going to share some frustrations about TFS. In many ways TFS is a great product because it integrates many separate functions (source control, work item tracking, build agents) into one whole and I’m firmly of the opinion that that is a good thing if for no reason other than being able to associate your check-ins with a work-item. However, like many people there are aspects to TFS source control that annoy me day-in, day-out. Chief among them has to be the fact that it uses a file’s read-only property to determine if a file should be checked-out or not and, if it determines that it should, it will happily do that check-out on your behalf without you even asking it to. I didn’t realise how ridiculous this was until I first used SVN about three years ago – with SVN you make any changes you wish and then use your source control client to determine which files have changed and thus be checked-in; the notion of “check-out” doesn’t even exist. That sounds like a small thing but you don’t realise how liberating it is until you actually start working that way. Hoping to hear some more anecdotes and opinions in the comments. Remember….free software is up for grabs! @jamiet 

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  • Database Developers Can Now Save 20%

    - by stephen.garth
    Database developers can now increase productivity and save money at the same time. For a limited time, Oracle Store is offering a 20% discount on Oracle SQL Developer Data Modeler. Just enter the code SQLDDM at checkout to get the discount. Oracle SQL Developer Data Modeler is an independent, standalone product with a full spectrum of data and database modeling tools and utilities, including modeling for Entity Relationship Diagrams (ERD), Relational (database design), Data Type and Multi-dimensional modeling, full forward and reverse engineering and DDL code generation. SQL Developer Data Modeler can connect to any supported Oracle Database and is platform independent. Save 20% on Oracle SQL Developer Data Modeler at Oracle Store - Discount Code SQLDDM Find out more about Oracle SQL Developer and Oracle SQL Developer Data Modeler var gaJsHost = (("https:" == document.location.protocol) ? "https://ssl." : "http://www."); document.write(unescape("%3Cscript src='" + gaJsHost + "google-analytics.com/ga.js' type='text/javascript'%3E%3C/script%3E")); try { var pageTracker = _gat._getTracker("UA-13185312-1"); pageTracker._trackPageview(); } catch(err) {}

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  • How to factor out data layer in nopCommerce and replace MS SQL with RavenDB?

    - by Kaveh Shahbazian
    I am new to nopCommerce and ecommerce in general but I am involved in an ecommerce project. Now from my past experiences with RavenDB (which mostly were absolutely pleasant) and based on the needs of the business (fast changes with awkward business workflows) It seemed to be an appealing option to have RavenDB handling all sort of things related to the database. I do not understand design and architecture of nopCommerce fully so I did not reach to a conclusion on how to factor data parts, since it seems the services layer actually does not abstract data-layer concepts away; like bringing in EF working model to other layers. I have found another project which used NuDB as it's database as a nopCommerce fork. But it did not help because NuDB still has the feeling of a RDBMS and is not as different as RavenDB. Now first how can I learn about the internals of nopCommerce (other than investigating the code)? It's workflows? It's conventions? Second has anyone tried something similar before with a NoSQL database (say like MongoDB or RavenDB)? Is it possible to achieve this in a 1 (~2) month time frame? Thanks in advance;

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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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  • Connect to localdb using Sql Server management studio

    - by Magnus Karlsson
    I was trying to find my databse for local db under localhost etc but no luck. The following led me to just connect to it, kind of obvious really when you look at your connections string but.. its sunday morning or something.. From: http://blogs.msdn.com/b/sqlexpress/archive/2011/07/12/introducing-localdb-a-better-sql-express.aspx High-Level Overview After the lengthy introduction it's time to take a look at LocalDB from the technical side. At a very high level, LocalDB has the following key properties: LocalDB uses the same sqlservr.exe as the regular SQL Express and other editions of SQL Server. The application is using the same client-side providers (ADO.NET, ODBC, PDO and others) to connect to it and operates on data using the same T-SQL language as provided by SQL Express. LocalDB is installed once on a machine (per major SQL Server version). Multiple applications can start multiple LocalDB processes, but they are all started from the same sqlservr.exe executable file from the same disk location. LocalDB doesn't create any database services; LocalDB processes are started and stopped automatically when needed. The application is just connecting to "Data Source=(localdb)\v11.0" and LocalDB process is started as a child process of the application. A few minutes after the last connection to this process is closed the process shuts down. LocalDB connections support AttachDbFileName property, which allows developers to specify a database file location. LocalDB will attach the specified database file and the connection will be made to it.

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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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  • OpenSSL Versions in Solaris

    - by darrenm
    Those of you have have installed Solaris 11 or have read some of the blogs by my colleagues will have noticed Solaris 11 includes OpenSSL 1.0.0, this is a different version to what we have in Solaris 10.  I hope the following explains why that is and how it fits with the expectations on binary compatibility between Solaris releases. Solaris 10 was the first release where we included OpenSSL libraries and headers (part of it was actually statically linked into the SSH client/server in Solaris 9).  At time we were building and releasing Solaris 10 the current train of OpenSSL was 0.9.7.  The OpenSSL libraries at that time were known to not always be completely API and ABI (binary) compatible between releases (some times even in the lettered patch releases) though mostly if you stuck with the documented high level APIs you would be fine.   For this reason OpenSSL was classified as a 'Volatile' interface and in Solaris 10 Volatile interfaces were not part of the default library search path which is why the OpenSSL libraries live in /usr/sfw/lib on Solaris 10.  Okay, but what does Volatile mean ? Quoting from the attributes(5) man page description of Volatile (which was called External in older taxonomy): Volatile interfaces can change at any time and for any reason. The Volatile interface stability level allows Sun pro- ducts to quickly track a fluid, rapidly evolving specif- ication. In many cases, this is preferred to providing additional stability to the interface, as it may better meet the expectations of the consumer. The most common application of this taxonomy level is to interfaces that are controlled by a body other than Sun, but unlike specifications controlled by standards bodies or Free or Open Source Software (FOSS) communities which value interface compatibility, it can not be asserted that an incompatible change to the interface specifica- tion would be exceedingly rare. It may also be applied to FOSS controlled software where it is deemed more important to track the community with minimal latency than to provide stability to our customers. It also common to apply the Volatile classification level to interfaces in the process of being defined by trusted or widely accepted organization. These are generically referred to as draft standards. An "IETF Internet draft" is a well understood example of a specification under development. Volatile can also be applied to experimental interfaces. No assertion is made regarding either source or binary compatibility of Volatile interfaces between any two releases, including patches. Applications containing these interfaces might fail to function properly in any future release. Note that last paragraph!  OpenSSL is only one example of the many interfaces in Solaris that are classified as Volatile.  At the other end of the scale we have Committed (Stable in Solaris 10 terminology) interfaces, these include things like the POSIX APIs or Solaris specific APIs that we have no intention of changing in an incompatible way.  There are also Private interfaces and things we declare as Not-an-Interface (eg command output not intended for scripting against only to be read by humans). Even if we had declared OpenSSL as a Committed/Stable interface in Solaris 10 there are allowed exceptions, again quoting from attributes(5): 4. An interface specification which isn't controlled by Sun has been changed incompatibly and the vast majority of interface consumers expect the newer interface. 5. Not making the incompatible change would be incomprehensible to our customers. In our opinion and that of our large and small customers keeping up with the OpenSSL community is important, and certainly both of the above cases apply. Our policy for dealing with OpenSSL on Solaris 10 was to stay at 0.9.7 and add fixes for security vulnerabilities (the version string includes the CVE numbers of fixed vulnerabilities relevant to that release train).  The last release of OpenSSL 0.9.7 delivered by the upstream community was more than 4 years ago in Feb 2007. Now lets roll forward to just before the release of Solaris 11 Express in 2010. By that point in time the current OpenSSL release was 0.9.8 with the 1.0.0 release known to be coming soon.  Two significant changes to OpenSSL were made between Solaris 10 and Solaris 11 Express.  First in Solaris 11 Express (and Solaris 11) we removed the requirement that Volatile libraries be placed in /usr/sfw/lib, that means OpenSSL is now in /usr/lib, secondly we upgraded it to the then current version stream of OpenSSL (0.9.8) as was expected by our customers. In between Solaris 11 Express in 2010 and the release of Solaris 11 in 2011 the OpenSSL community released version 1.0.0.  This was a huge milestone for a long standing and highly respected open source project.  It would have been highly negligent of Solaris not to include OpenSSL 1.0.0e in the Solaris 11 release. It is the latest best supported and best performing version.     In fact Solaris 11 isn't 'just' OpenSSL 1.0.0 but we have added our SPARC T4 engine and the AES-NI engine to support the on chip crypto acceleration. This gives us 4.3x better AES performance than OpenSSL 0.9.8 running on AIX on an IBM POWER7. We are now working with the OpenSSL community to determine how best to integrate the SPARC T4 changes into the mainline OpenSSL.  The OpenSSL 'pkcs11' engine we delivered in Solaris 10 to support the CA-6000 card and the SPARC T1/T2/T3 hardware is still included in Solaris 11. When OpenSSL 1.0.1 and 1.1.0 come out we will asses what is best for Solaris customers. It might be upgrade or it might be parallel delivery of more than one version stream.  At this time Solaris 11 still classifies OpenSSL as a Volatile interface, it is our hope that we will be able at some point in a future release to give it a higher interface stability level. Happy crypting! and thank-you OpenSSL community for all the work you have done that helps Solaris.

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