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  • Table Variables: an empirical approach.

    - by Phil Factor
    It isn’t entirely a pleasant experience to publish an article only to have it described on Twitter as ‘Horrible’, and to have it criticized on the MVP forum. When this happened to me in the aftermath of publishing my article on Temporary tables recently, I was taken aback, because these critics were experts whose views I respect. What was my crime? It was, I think, to suggest that, despite the obvious quirks, it was best to use Table Variables as a first choice, and to use local Temporary Tables if you hit problems due to these quirks, or if you were doing complex joins using a large number of rows. What are these quirks? Well, table variables have advantages if they are used sensibly, but this requires some awareness by the developer about the potential hazards and how to avoid them. You can be hit by a badly-performing join involving a table variable. Table Variables are a compromise, and this compromise doesn’t always work out well. Explicit indexes aren’t allowed on Table Variables, so one cannot use covering indexes or non-unique indexes. The query optimizer has to make assumptions about the data rather than using column distribution statistics when a table variable is involved in a join, because there aren’t any column-based distribution statistics on a table variable. It assumes a reasonably even distribution of data, and is likely to have little idea of the number of rows in the table variables that are involved in queries. However complex the heuristics that are used might be in determining the best way of executing a SQL query, and they most certainly are, the Query Optimizer is likely to fail occasionally with table variables, under certain circumstances, and produce a Query Execution Plan that is frightful. The experienced developer or DBA will be on the lookout for this sort of problem. In this blog, I’ll be expanding on some of the tests I used when writing my article to illustrate the quirks, and include a subsequent example supplied by Kevin Boles. A simplified example. We’ll start out by illustrating a simple example that shows some of these characteristics. We’ll create two tables filled with random numbers and then see how many matches we get between the two tables. We’ll forget indexes altogether for this example, and use heaps. We’ll try the same Join with two table variables, two table variables with OPTION (RECOMPILE) in the JOIN clause, and with two temporary tables. It is all a bit jerky because of the granularity of the timing that isn’t actually happening at the millisecond level (I used DATETIME). However, you’ll see that the table variable is outperforming the local temporary table up to 10,000 rows. Actually, even without a use of the OPTION (RECOMPILE) hint, it is doing well. What happens when your table size increases? The table variable is, from around 30,000 rows, locked into a very bad execution plan unless you use OPTION (RECOMPILE) to provide the Query Analyser with a decent estimation of the size of the table. However, if it has the OPTION (RECOMPILE), then it is smokin’. Well, up to 120,000 rows, at least. It is performing better than a Temporary table, and in a good linear fashion. What about mixed table joins, where you are joining a temporary table to a table variable? You’d probably expect that the query analyzer would throw up its hands and produce a bad execution plan as if it were a table variable. After all, it knows nothing about the statistics in one of the tables so how could it do any better? Well, it behaves as if it were doing a recompile. And an explicit recompile adds no value at all. (we just go up to 45000 rows since we know the bigger picture now)   Now, if you were new to this, you might be tempted to start drawing conclusions. Beware! We’re dealing with a very complex beast: the Query Optimizer. It can come up with surprises What if we change the query very slightly to insert the results into a Table Variable? We change nothing else and just measure the execution time of the statement as before. Suddenly, the table variable isn’t looking so much better, even taking into account the time involved in doing the table insert. OK, if you haven’t used OPTION (RECOMPILE) then you’re toast. Otherwise, there isn’t much in it between the Table variable and the temporary table. The table variable is faster up to 8000 rows and then not much in it up to 100,000 rows. Past the 8000 row mark, we’ve lost the advantage of the table variable’s speed. Any general rule you may be formulating has just gone for a walk. What we can conclude from this experiment is that if you join two table variables, and can’t use constraints, you’re going to need that Option (RECOMPILE) hint. Count Dracula and the Horror Join. These tables of integers provide a rather unreal example, so let’s try a rather different example, and get stuck into some implicit indexing, by using constraints. What unusual words are contained in the book ‘Dracula’ by Bram Stoker? Here we get a table of all the common words in the English language (60,387 of them) and put them in a table. We put them in a Table Variable with the word as a primary key, a Table Variable Heap and a Table Variable with a primary key. We then take all the distinct words used in the book ‘Dracula’ (7,558 of them). We then create a table variable and insert into it all those uncommon words that are in ‘Dracula’. i.e. all the words in Dracula that aren’t matched in the list of common words. To do this we use a left outer join, where the right-hand value is null. The results show a huge variation, between the sublime and the gorblimey. If both tables contain a Primary Key on the columns we join on, and both are Table Variables, it took 33 Ms. If one table contains a Primary Key, and the other is a heap, and both are Table Variables, it took 46 Ms. If both Table Variables use a unique constraint, then the query takes 36 Ms. If neither table contains a Primary Key and both are Table Variables, it took 116383 Ms. Yes, nearly two minutes!! If both tables contain a Primary Key, one is a Table Variables and the other is a temporary table, it took 113 Ms. If one table contains a Primary Key, and both are Temporary Tables, it took 56 Ms.If both tables are temporary tables and both have primary keys, it took 46 Ms. Here we see table variables which are joined on their primary key again enjoying a  slight performance advantage over temporary tables. Where both tables are table variables and both are heaps, the query suddenly takes nearly two minutes! So what if you have two heaps and you use option Recompile? If you take the rogue query and add the hint, then suddenly, the query drops its time down to 76 Ms. If you add unique indexes, then you've done even better, down to half that time. Here are the text execution plans.So where have we got to? Without drilling down into the minutiae of the execution plans we can begin to create a hypothesis. If you are using table variables, and your tables are relatively small, they are faster than temporary tables, but as the number of rows increases you need to do one of two things: either you need to have a primary key on the column you are using to join on, or else you need to use option (RECOMPILE) If you try to execute a query that is a join, and both tables are table variable heaps, you are asking for trouble, well- slow queries, unless you give the table hint once the number of rows has risen past a point (30,000 in our first example, but this varies considerably according to context). Kevin’s Skew In describing the table-size, I used the term ‘relatively small’. Kevin Boles produced an interesting case where a single-row table variable produces a very poor execution plan when joined to a very, very skewed table. In the original, pasted into my article as a comment, a column consisted of 100000 rows in which the key column was one number (1) . To this was added eight rows with sequential numbers up to 9. When this was joined to a single-tow Table Variable with a key of 2 it produced a bad plan. This problem is unlikely to occur in real usage, and the Query Optimiser team probably never set up a test for it. Actually, the skew can be slightly less extreme than Kevin made it. The following test showed that once the table had 54 sequential rows in the table, then it adopted exactly the same execution plan as for the temporary table and then all was well. Undeniably, real data does occasionally cause problems to the performance of joins in Table Variables due to the extreme skew of the distribution. We've all experienced Perfectly Poisonous Table Variables in real live data. As in Kevin’s example, indexes merely make matters worse, and the OPTION (RECOMPILE) trick does nothing to help. In this case, there is no option but to use a temporary table. However, one has to note that once the slight de-skew had taken place, then the plans were identical across a huge range. Conclusions Where you need to hold intermediate results as part of a process, Table Variables offer a good alternative to temporary tables when used wisely. They can perform faster than a temporary table when the number of rows is not great. For some processing with huge tables, they can perform well when only a clustered index is required, and when the nature of the processing makes an index seek very effective. Table Variables are scoped to the batch or procedure and are unlikely to hang about in the TempDB when they are no longer required. They require no explicit cleanup. Where the number of rows in the table is moderate, you can even use them in joins as ‘Heaps’, unindexed. Beware, however, since, as the number of rows increase, joins on Table Variable heaps can easily become saddled by very poor execution plans, and this must be cured either by adding constraints (UNIQUE or PRIMARY KEY) or by adding the OPTION (RECOMPILE) hint if this is impossible. Occasionally, the way that the data is distributed prevents the efficient use of Table Variables, and this will require using a temporary table instead. Tables Variables require some awareness by the developer about the potential hazards and how to avoid them. If you are not prepared to do any performance monitoring of your code or fine-tuning, and just want to pummel out stuff that ‘just runs’ without considering namby-pamby stuff such as indexes, then stick to Temporary tables. If you are likely to slosh about large numbers of rows in temporary tables without considering the niceties of processing just what is required and no more, then temporary tables provide a safer and less fragile means-to-an-end for you.

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  • VFS: file-max limit 1231582 reached

    - by Rick Koshi
    I'm running a Linux 2.6.36 kernel, and I'm seeing some random errors. Things like ls: error while loading shared libraries: libpthread.so.0: cannot open shared object file: Error 23 Yes, my system can't consistently run an 'ls' command. :( I note several errors in my dmesg output: # dmesg | tail [2808967.543203] EXT4-fs (sda3): re-mounted. Opts: (null) [2837776.220605] xv[14450] general protection ip:7f20c20c6ac6 sp:7fff3641b368 error:0 in libpng14.so.14.4.0[7f20c20a9000+29000] [4931344.685302] EXT4-fs (md16): re-mounted. Opts: (null) [4982666.631444] VFS: file-max limit 1231582 reached [4982666.764240] VFS: file-max limit 1231582 reached [4982767.360574] VFS: file-max limit 1231582 reached [4982901.904628] VFS: file-max limit 1231582 reached [4982964.930556] VFS: file-max limit 1231582 reached [4982966.352170] VFS: file-max limit 1231582 reached [4982966.649195] top[31095]: segfault at 14 ip 00007fd6ace42700 sp 00007fff20746530 error 6 in libproc-3.2.8.so[7fd6ace3b000+e000] Obviously, the file-max errors look suspicious, being clustered together and recent. # cat /proc/sys/fs/file-max 1231582 # cat /proc/sys/fs/file-nr 1231712 0 1231582 That also looks a bit odd to me, but the thing is, there's no way I have 1.2 million files open on this system. I'm the only one using it, and it's not visible to anyone outside the local network. # lsof | wc 16046 148253 1882901 # ps -ef | wc 574 6104 44260 I saw some documentation saying: file-max & file-nr: The kernel allocates file handles dynamically, but as yet it doesn't free them again. The value in file-max denotes the maximum number of file- handles that the Linux kernel will allocate. When you get lots of error messages about running out of file handles, you might want to increase this limit. Historically, the three values in file-nr denoted the number of allocated file handles, the number of allocated but unused file handles, and the maximum number of file handles. Linux 2.6 always reports 0 as the number of free file handles -- this is not an error, it just means that the number of allocated file handles exactly matches the number of used file handles. Attempts to allocate more file descriptors than file-max are reported with printk, look for "VFS: file-max limit reached". My first reading of this is that the kernel basically has a built-in file descriptor leak, but I find that very hard to believe. It would imply that any system in active use needs to be rebooted every so often to free up the file descriptors. As I said, I can't believe this would be true, since it's normal to me to have Linux systems stay up for months (even years) at a time. On the other hand, I also can't believe that my nearly-idle system is holding over a million files open. Does anyone have any ideas, either for fixes or further diagnosis? I could, of course, just reboot the system, but I don't want this to be a recurring problem every few weeks. As a stopgap measure, I've quit Firefox, which was accounting for almost 2000 lines of lsof output (!) even though I only had one window open, and now I can run 'ls' again, but I doubt that will fix the problem for long. (edit: Oops, spoke too soon. By the time I finished typing out this question, the symptom was/is back) Thanks in advance for any help. And another update: My system was basically unusable, so I decided I had no option but to reboot. But before I did, I carefully quit one process at a time, checking /proc/sys/fs/file-nr after each termination. I found that, predictably, the number of open files gradually went down as I closed things down. Unfortunately, it wasn't a large effect. Yes, I was able to clear up 5000-10000 open files, but there were still over 1.2 million left. I shut down just about everything. All interactive shells, except for the one ssh I left open to finish closing down, httpd, even nfs service. Basically everything in the process table that wasn't a kernel process, and there were still an appalling number of files apparently left open. After the reboot, I found that /proc/sys/fs/file-nr showed about 2000 files open, which is much more reasonable. Starting up 2 Xvnc sessions as usual, along with the dozen or so monitoring windows I like to keep open, brought the total up to about 4000 files. I can see nothing wrong with that, of course, but I've obviously failed to identify the root cause. I'm still looking for ideas, since I definitely expect it to happen again. And another update, the next day: I watched the system carefully, and discovered that /proc/sys/fs/file-nr showed a growth of about 900 open files per hour. I shut down the system's only NFS client for the night, and the growth stopped. Mind you, it didn't free up the resources, but it did at least stop consuming more. Is this a known bug with NFS? I'll be bringing the NFS client back online today, and I'll narrow it down further. If anyone is familiar with this behavior, feel free to jump in with "Yeah, NFS4 has this problem, go back to NFS3" or something like that.

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  • Database Migration Scripts: Getting from place A to place B

    - by Phil Factor
    We’ll be looking at a typical database ‘migration’ script which uses an unusual technique to migrate existing ‘de-normalised’ data into a more correct form. So, the book-distribution business that uses the PUBS database has gradually grown organically, and has slipped into ‘de-normalisation’ habits. What’s this? A new column with a list of tags or ‘types’ assigned to books. Because books aren’t really in just one category, someone has ‘cured’ the mismatch between the database and the business requirements. This is fine, but it is now proving difficult for their new website that allows searches by tags. Any request for history book really has to look in the entire list of associated tags rather than the ‘Type’ field that only keeps the primary tag. We have other problems. The TypleList column has duplicates in there which will be affecting the reporting, and there is the danger of mis-spellings getting there. The reporting system can’t be persuaded to do reports based on the tags and the Database developers are complaining about the unCoddly things going on in their database. In your version of PUBS, this extra column doesn’t exist, so we’ve added it and put in 10,000 titles using SQL Data Generator. /* So how do we refactor this database? firstly, we create a table of all the tags. */IF  OBJECT_ID('TagName') IS NULL OR OBJECT_ID('TagTitle') IS NULL  BEGIN  CREATE TABLE  TagName (TagName_ID INT IDENTITY(1,1) PRIMARY KEY ,     Tag VARCHAR(20) NOT NULL UNIQUE)  /* ...and we insert into it all the tags from the list (remembering to take out any leading spaces */  INSERT INTO TagName (Tag)     SELECT DISTINCT LTRIM(x.y.value('.', 'Varchar(80)')) AS [Tag]     FROM     (SELECT  Title_ID,          CONVERT(XML, '<list><i>' + REPLACE(TypeList, ',', '</i><i>') + '</i></list>')          AS XMLkeywords          FROM   dbo.titles)g    CROSS APPLY XMLkeywords.nodes('/list/i/text()') AS x ( y )  /* we can then use this table to provide a table that relates tags to articles */  CREATE TABLE TagTitle   (TagTitle_ID INT IDENTITY(1, 1),   [title_id] [dbo].[tid] NOT NULL REFERENCES titles (Title_ID),   TagName_ID INT NOT NULL REFERENCES TagName (Tagname_ID)   CONSTRAINT [PK_TagTitle]       PRIMARY KEY CLUSTERED ([title_id] ASC, TagName_ID)       ON [PRIMARY])        CREATE NONCLUSTERED INDEX idxTagName_ID  ON  TagTitle (TagName_ID)  INCLUDE (TagTitle_ID,title_id)        /* ...and it is easy to fill this with the tags for each title ... */        INSERT INTO TagTitle (Title_ID, TagName_ID)    SELECT DISTINCT Title_ID, TagName_ID      FROM        (SELECT  Title_ID,          CONVERT(XML, '<list><i>' + REPLACE(TypeList, ',', '</i><i>') + '</i></list>')          AS XMLkeywords          FROM   dbo.titles)g    CROSS APPLY XMLkeywords.nodes('/list/i/text()') AS x ( y )    INNER JOIN TagName ON TagName.Tag=LTRIM(x.y.value('.', 'Varchar(80)'))    END    /* That's all there was to it. Now we can select all titles that have the military tag, just to try things out */SELECT Title FROM titles  INNER JOIN TagTitle ON titles.title_ID=TagTitle.Title_ID  INNER JOIN Tagname ON Tagname.TagName_ID=TagTitle.TagName_ID  WHERE tagname.tag='Military'/* and see the top ten most popular tags for titles */SELECT Tag, COUNT(*) FROM titles  INNER JOIN TagTitle ON titles.title_ID=TagTitle.Title_ID  INNER JOIN Tagname ON Tagname.TagName_ID=TagTitle.TagName_ID  GROUP BY Tag ORDER BY COUNT(*) DESC/* and if you still want your list of tags for each title, then here they are */SELECT title_ID, title, STUFF(  (SELECT ','+tagname.tag FROM titles thisTitle    INNER JOIN TagTitle ON titles.title_ID=TagTitle.Title_ID    INNER JOIN Tagname ON Tagname.TagName_ID=TagTitle.TagName_ID  WHERE ThisTitle.title_id=titles.title_ID  FOR XML PATH(''), TYPE).value('.', 'varchar(max)')  ,1,1,'')    FROM titles  ORDER BY title_ID So we’ve refactored our PUBS database without pain. We’ve even put in a check to prevent it being re-run once the new tables are created. Here is the diagram of the new tag relationship We’ve done both the DDL to create the tables and their associated components, and the DML to put the data in them. I could have also included the script to remove the de-normalised TypeList column, but I’d do a whole lot of tests first before doing that. Yes, I’ve left out the assertion tests too, which should check the edge cases and make sure the result is what you’d expect. One thing I can’t quite figure out is how to deal with an ordered list using this simple XML-based technique. We can ensure that, if we have to produce a list of tags, we can get the primary ‘type’ to be first in the list, but what if the entire order is significant? Thank goodness it isn’t in this case. If it were, we might have to revisit a string-splitter function that returns the ordinal position of each component in the sequence. You’ll see immediately that we can create a synchronisation script for deployment from a comparison tool such as SQL Compare, to change the schema (DDL). On the other hand, no tool could do the DML to stuff the data into the new table, since there is no way that any tool will be able to work out where the data should go. We used some pretty hairy code to deal with a slightly untypical problem. We would have to do this migration by hand, and it has to go into source control as a batch. If most of your database changes are to be deployed by an automated process, then there must be a way of over-riding this part of the data synchronisation process to do this part of the process taking the part of the script that fills the tables, Checking that the tables have not already been filled, and executing it as part of the transaction. Of course, you might prefer the approach I’ve taken with the script of creating the tables in the same batch as the data conversion process, and then using the presence of the tables to prevent the script from being re-run. The problem with scripting a refactoring change to a database is that it has to work both ways. If we install the new system and then have to rollback the changes, several books may have been added, or had their tags changed, in the meantime. Yes, you have to script any rollback! These have to be mercilessly tested, and put in source control just in case of the rollback of a deployment after it has been in place for any length of time. I’ve shown you how to do this with the part of the script .. /* and if you still want your list of tags for each title, then here they are */SELECT title_ID, title, STUFF(  (SELECT ','+tagname.tag FROM titles thisTitle    INNER JOIN TagTitle ON titles.title_ID=TagTitle.Title_ID    INNER JOIN Tagname ON Tagname.TagName_ID=TagTitle.TagName_ID  WHERE ThisTitle.title_id=titles.title_ID  FOR XML PATH(''), TYPE).value('.', 'varchar(max)')  ,1,1,'')    FROM titles  ORDER BY title_ID …which would be turned into an UPDATE … FROM script. UPDATE titles SET  typelist= ThisTaglistFROM     (SELECT title_ID, title, STUFF(    (SELECT ','+tagname.tag FROM titles thisTitle      INNER JOIN TagTitle ON titles.title_ID=TagTitle.Title_ID      INNER JOIN Tagname ON Tagname.TagName_ID=TagTitle.TagName_ID    WHERE ThisTitle.title_id=titles.title_ID    ORDER BY CASE WHEN tagname.tag=titles.[type] THEN 1 ELSE 0  END DESC    FOR XML PATH(''), TYPE).value('.', 'varchar(max)')    ,1,1,'')  AS ThisTagList  FROM titles)fINNER JOIN Titles ON f.title_ID=Titles.title_ID You’ll notice that it isn’t quite a round trip because the tags are in a different order, though we’ve managed to make sure that the primary tag is the first one as originally. So, we’ve improved the database for the poor book distributors using PUBS. It is not a major deal but you’ve got to be prepared to provide a migration script that will go both forwards and backwards. Ideally, database refactoring scripts should be able to go from any version to any other. Schema synchronization scripts can do this pretty easily, but no data synchronisation scripts can deal with serious refactoring jobs without the developers being able to specify how to deal with cases like this.

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  • Is the Cloud ready for an Enterprise Java web application? Seeking a JEE hosting advice.

    - by Jakub Holý
    Greetings to all the smart people around here! I'd like to ask whether it is feasible or a good idea at all to deploy a Java enterprise web application to a Cloud such as Amazon EC2. More exactly, I'm looking for infrastructure options for an application that shall handle few hundred users with long but neither CPU nor memory intensive sessions. I'm considering dedicated servers, virtual private servers (VPSs) and EC2. I've noticed that there is a project called JBoss Cloud so people are working on enabling such a deployment, on the other hand it doesn't seem to be mature yet and I'm not sure that the cloud is ready for this kind of applications, which differs from the typical cloud-based applications like Twitter. Would you recommend to deploy it to the cloud? What are the pros and cons? The application is a Java EE 5 web application whose main function is to enable users to compose their own customized Product by combining the available Parts. It uses stateless and stateful session beans and JPA for persistence of entities to a RDBMS and fetches information about Parts from the company's inventory system via a web service. Aside of external users it's used also by few internal ones, who are authenticated against the company's LDAP. The application should handle around 300-400 concurrent users building their product and should be reasonably scalable and available though these qualities are only of a medium importance at this stage. I've proposed an architecture consisting of a firewall (FW) and load balancer supporting sticky sessions and https (in the Cloud this would be replaced with EC2's Elastic Load Balancing service and FW on the app. servers, in a physical architecture the load-balancer would be a HW), then two physical clustered application servers combined with web servers (so that if one fails, a user doesn't loose his/her long built product) and finally a database server. The DB server would need a slave backup instance that can replace the master instance if it fails. This should provide reasonable availability and fault tolerance and provide good scalability as long as a single RDBMS can keep with the load, which should be OK for quite a while because most of the operations are done in the memory using a stateful bean and only occasionally stored or retrieved from the DB and the amount of data is low too. A problematic part could be the dependency on the remote inventory system webservice but with good caching of its outputs in the application it should be OK too. Unfortunately I've only vague idea of the system resources (memory size, number and speed of CPUs/cores) that such an "average Java EE application" for few hundred users needs. My rough and mostly unfounded estimate based on actual Amazon offerings is that 1.7GB and a single, 2-core "modern CPU" with speed around 2.5GHz (the High-CPU Medium Instance) should be sufficient for any of the two application servers (since we can handle higher load by provisioning more of them). Alternatively I would consider using the Large instance (64b, 7.5GB RAM, 2 cores at 1GHz) So my question is whether such a deployment to the cloud is technically and financially feasible or whether dedicated/VPS servers would be a better option and whether there are some real-world experiences with something similar. Thank you very much! /Jakub Holy PS: I've found the JBoss EAP in a Cloud Case Study that shows that it is possible to deploy a real-world Java EE application to the EC2 cloud but unfortunately there're no details regarding topology, instance types, or anything :-(

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  • Download binary file From SQL Server 2000

    - by kareemsaad
    I inserted binary files (images, PDF, videos..) and I want to retrieve this file to download it. I used generic handler page as this public void ProcessRequest (HttpContext context) { using (System.Data.SqlClient.SqlConnection con = Connection.GetConnection()) { String Sql = "Select BinaryData From ProductsDownload Where Product_Id = @Product_Id"; SqlCommand com = new SqlCommand(Sql, con); com.CommandType = System.Data.CommandType.Text; com.Parameters.Add(Parameter.NewInt("@Product_Id", context.Request.QueryString["Product_Id"].ToString())); SqlDataReader dr = com.ExecuteReader(); if (dr.Read() && dr != null) { Byte[] bytes; bytes = Encoding.UTF8.GetBytes(String.Empty); bytes = (Byte[])dr["BinaryData"]; context.Response.BinaryWrite(bytes); dr.Close(); } } } and this is my table CREATE TABLE [ProductsDownload] ( [ID] [bigint] IDENTITY (1, 1) NOT NULL , [Product_Id] [int] NULL , [Type_Id] [int] NULL , [Name] [nvarchar] (200) COLLATE Arabic_CI_AS NULL , [MIME] [varchar] (50) COLLATE Arabic_CI_AS NULL , [BinaryData] [varbinary] (4000) NULL , [Description] [nvarchar] (500) COLLATE Arabic_CI_AS NULL , [Add_Date] [datetime] NULL , CONSTRAINT [PK_ProductsDownload] PRIMARY KEY CLUSTERED ( [ID] ) ON [PRIMARY] , CONSTRAINT [FK_ProductsDownload_DownloadTypes] FOREIGN KEY ( [Type_Id] ) REFERENCES [DownloadTypes] ( [ID] ) ON DELETE CASCADE ON UPDATE CASCADE , CONSTRAINT [FK_ProductsDownload_Product] FOREIGN KEY ( [Product_Id] ) REFERENCES [Product] ( [Product_Id] ) ON DELETE CASCADE ON UPDATE CASCADE ) ON [PRIMARY] GO And use data list has label for file name and button to download file as <asp:DataList ID="DataList5" runat="server" DataSource='<%#GetData(Convert.ToString(Eval("Product_Id")))%>' RepeatColumns="1" RepeatLayout="Flow"> <ItemTemplate> <table width="100%" border="0" cellspacing="0" cellpadding="0"> <tr> <td class="spc_tab_hed_bg spc_hed_txt lm5 tm2 bm3"> <asp:Label ID="LblType" runat="server" Text='<%# Eval("TypeName", "{0}") %>'></asp:Label> </td> <td width="380" class="spc_tab_hed_bg"> &nbsp; </td> </tr> <tr> <td align="left" class="lm5 tm2 bm3"> <asp:Label ID="LblData" runat="server" Text='<%# Eval("Name", "{0}") %>'></asp:Label> </td> <td align="center" class=" tm2 bm3"> <a href='<%# "DownloadFile.aspx?Product_Id=" + DataBinder.Eval(Container.DataItem,"Product_Id") %>' > <img src="images/downloads_ht.jpg" width="11" height="11" border="0" /> </a> <%--<asp:ImageButton ID="ImageButton1" ImageUrl="images/downloads_ht.jpg" runat="server" OnClick="ImageButton1_Click1" />--%> </td> </tr> </table> </ItemTemplate> </asp:DataList> I tried more to solve this problem but I cannot please if any one has solve for this proplem please sent me thank you kareem saad programmer MCTS,MCPD Toshiba Company Egypt

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  • SQL server deadlock between INSERT and SELECT statement

    - by dtroy
    Hi! I've got a problem with multiple deadlocks on SQL server 2005. This one is between an INSERT and a SELECT statement. There are two tables. Table 1 and Table2. Table2 has Table1's PK (table1_id) as foreign key. Index on table1_id is clustered. The INSERT inserts a single row into table2 at a time. The SELCET joins the 2 tables. (it's a long query which might take up to 12 secs to run) According to my understanding (and experiments) the INSERT should acquire an IS lock on table1 to check referential integrity (which should not cause a deadlock). But, in this case it acquired an IX page lock The deadlock report: <deadlock-list> <deadlock victim="process968898"> <process-list> <process id="process8db1f8" taskpriority="0" logused="2424" waitresource="OBJECT: 5:789577851:0 " waittime="12390" ownerId="61831512" transactionname="user_transaction" lasttranstarted="2010-04-16T07:10:13.347" XDES="0x222a8250" lockMode="IX" schedulerid="1" kpid="3764" status="suspended" spid="52" sbid="0" ecid="0" priority="0" transcount="2" lastbatchstarted="2010-04-16T07:10:13.350" lastbatchcompleted="2010-04-16T07:10:13.347" clientapp=".Net SqlClient Data Provider" hostname="VIDEV01-B-ME" hostpid="3040" loginname="DatabaseName" isolationlevel="read uncommitted (1)" xactid="61831512" currentdb="5" lockTimeout="4294967295" clientoption1="671088672" clientoption2="128056"> <executionStack> <frame procname="DatabaseName.dbo.prcTable2_Insert" line="18" stmtstart="576" stmtend="1148" sqlhandle="0x0300050079e62d06e9307f000b9d00000100000000000000"> INSERT INTO dbo.Table2 ( f1, table1_id, f2 ) VALUES ( @p1, @p_DocumentVersionID, @p1 ) </frame> </executionStack> <inputbuf> Proc [Database Id = 5 Object Id = 103671417] </inputbuf> </process> <process id="process968898" taskpriority="0" logused="0" waitresource="PAGE: 5:1:46510" waittime="7625" ownerId="61831406" transactionname="INSERT" lasttranstarted="2010-04-16T07:10:12.717" XDES="0x418ec00" lockMode="S" schedulerid="2" kpid="1724" status="suspended" spid="53" sbid="0" ecid="0" priority="0" transcount="2" lastbatchstarted="2010-04-16T07:10:12.713" lastbatchcompleted="2010-04-16T07:10:12.713" clientapp=".Net SqlClient Data Provider" hostname="VIDEV01-B-ME" hostpid="3040" loginname="DatabaseName" isolationlevel="read committed (2)" xactid="61831406" currentdb="5" lockTimeout="4294967295" clientoption1="671088672" clientoption2="128056"> <executionStack> <frame procname="DatabaseName.dbo.prcGetList" line="64" stmtstart="3548" stmtend="11570" sqlhandle="0x03000500dbcec17e8d267f000b9d00000100000000000000"> <!-- XXXXXXXXXXXXXX...SELECT STATEMENT WITH Multiple joins including both Table2 table 1 and .... XXXXXXXXXXXXXXX --> </frame> </executionStack> <inputbuf> Proc [Database Id = 5 Object Id = 2126630619] </inputbuf> </process> </process-list> <resource-list> <pagelock fileid="1" pageid="46510" dbid="5" objectname="DatabaseName.dbo.table1" id="lock6236bc0" mode="IX" associatedObjectId="72057594042908672"> <owner-list> <owner id="process8db1f8" mode="IX"/> </owner-list> <waiter-list> <waiter id="process968898" mode="S" requestType="wait"/> </waiter-list> </pagelock> <objectlock lockPartition="0" objid="789577851" subresource="FULL" dbid="5" objectname="DatabaseName.dbo.Table2" id="lock970a240" mode="S" associatedObjectId="789577851"> <owner-list> <owner id="process968898" mode="S"/> </owner-list> <waiter-list> <waiter id="process8db1f8" mode="IX" requestType="wait"/> </waiter-list> </objectlock> </resource-list> </deadlock> </deadlock-list> Can anyone explain why the INSERT gets the IX page lock ? Am I not reading the deadlock report properly? BTW, I have not managed to reproduce this issue. Thanks!

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  • Optimal storage of data structure for fast lookup and persistence

    - by Mikael Svenson
    Scenario I have the following methods: public void AddItemSecurity(int itemId, int[] userIds) public int[] GetValidItemIds(int userId) Initially I'm thinking storage on the form: itemId -> userId, userId, userId and userId -> itemId, itemId, itemId AddItemSecurity is based on how I get data from a third party API, GetValidItemIds is how I want to use it at runtime. There are potentially 2000 users and 10 million items. Item id's are on the form: 2007123456, 2010001234 (10 digits where first four represent the year). AddItemSecurity does not have to perform super fast, but GetValidIds needs to be subsecond. Also, if there is an update on an existing itemId I need to remove that itemId for users no longer in the list. I'm trying to think about how I should store this in an optimal fashion. Preferably on disk (with caching), but I want the code maintainable and clean. If the item id's had started at 0, I thought about creating a byte array the length of MaxItemId / 8 for each user, and set a true/false bit if the item was present or not. That would limit the array length to little over 1mb per user and give fast lookups as well as an easy way to update the list per user. By persisting this as Memory Mapped Files with the .Net 4 framework I think I would get decent caching as well (if the machine has enough RAM) without implementing caching logic myself. Parsing the id, stripping out the year, and store an array per year could be a solution. The ItemId - UserId[] list can be serialized directly to disk and read/write with a normal FileStream in order to persist the list and diff it when there are changes. Each time a new user is added all the lists have to updated as well, but this can be done nightly. Question Should I continue to try out this approach, or are there other paths which should be explored as well? I'm thinking SQL server will not perform fast enough, and it would give an overhead (at least if it's hosted on a different server), but my assumptions might be wrong. Any thought or insights on the matter is appreciated. And I want to try to solve it without adding too much hardware :) [Update 2010-03-31] I have now tested with SQL server 2008 under the following conditions. Table with two columns (userid,itemid) both are Int Clustered index on the two columns Added ~800.000 items for 180 users - Total of 144 million rows Allocated 4gb ram for SQL server Dual Core 2.66ghz laptop SSD disk Use a SqlDataReader to read all itemid's into a List Loop over all users If I run one thread it averages on 0.2 seconds. When I add a second thread it goes up to 0.4 seconds, which is still ok. From there on the results are decreasing. Adding a third thread brings alot of the queries up to 2 seonds. A forth thread, up to 4 seconds, a fifth spikes some of the queries up to 50 seconds. The CPU is roofing while this is going on, even on one thread. My test app takes some due to the speedy loop, and sql the rest. Which leads me to the conclusion that it won't scale very well. At least not on my tested hardware. Are there ways to optimize the database, say storing an array of int's per user instead of one record per item. But this makes it harder to remove items.

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  • AspxGridView Specified method is not supported. problem

    - by shamim
    Bellow is my .aspx aspxGridview syntax <dx:ASPxGridView ID="ASPxGridView1" runat="server" AutoGenerateColumns="False" KeyFieldName="intProductCode" onrowinserted="ASPxGridView1_RowInserted"> <Columns> <dx:GridViewCommandColumn VisibleIndex="0"> <EditButton Visible="True"> </EditButton> <NewButton Visible="True"> </NewButton> <DeleteButton Visible="True"> </DeleteButton> </dx:GridViewCommandColumn> <dx:GridViewDataTextColumn Caption="intProductCode" FieldName="intProductCode" VisibleIndex="1"> </dx:GridViewDataTextColumn> <dx:GridViewDataTextColumn Caption="strProductName" FieldName="strProductName" VisibleIndex="2"> </dx:GridViewDataTextColumn> <dx:GridViewDataTextColumn Caption="SKU" FieldName="SKU" VisibleIndex="3"> </dx:GridViewDataTextColumn> <dx:GridViewDataTextColumn Caption="PACK" FieldName="PACK" VisibleIndex="4"> </dx:GridViewDataTextColumn> <dx:GridViewDataTextColumn Caption="intQtyPerCase" FieldName="intQtyPerCase" VisibleIndex="5"> </dx:GridViewDataTextColumn> <dx:GridViewDataTextColumn Caption="mnyCasePrice" FieldName="mnyCasePrice" VisibleIndex="6"> </dx:GridViewDataTextColumn> <dx:GridViewDataTextColumn Caption="intTBQtyPerCase" FieldName="intTBQtyPerCase" VisibleIndex="7"> </dx:GridViewDataTextColumn> <dx:GridViewDataCheckColumn Caption="bIsActive" FieldName="bIsActive" VisibleIndex="8"> </dx:GridViewDataCheckColumn> <dx:GridViewDataTextColumn Caption="intSortingOrder" FieldName="intSortingOrder" VisibleIndex="9"> </dx:GridViewDataTextColumn> <dx:GridViewDataTextColumn Caption="strProductAccCode" FieldName="strProductAccCode" VisibleIndex="10"> </dx:GridViewDataTextColumn> </Columns> </dx:ASPxGridView> Bellow is my C# syntax : protected void Page_Load(object sender, EventArgs e) { if (this.IsPostBack != true) { BindGridView(); } } private void BindGridView() { DB_OrderV2DataContext db = new DB_OrderV2DataContext(); var r = from p in db.tblProductInfos select p; ASPxGridView1.DataSource = r; ASPxGridView1.DataBind(); } protected void LinqServerModeDataSource1_Selecting(object sender, DevExpress.Data.Linq.LinqServerModeDataSourceSelectEventArgs e) { DB_OrderV2DataContext db = new DB_OrderV2DataContext(); var r= from p in db.tblProductInfos select p; e.QueryableSource = r; } protected void ASPxGridView1_RowInserted(object sender, DevExpress.Web.Data.ASPxDataInsertedEventArgs e) { DB_OrderV2DataContext db = new DB_OrderV2DataContext(); tblProductInfo otblProductInfo = new tblProductInfo (); otblProductInfo.intProductCode = (db.tblProductInfos.Max(p => (int?)p.intProductCode) ?? 0) + 1;//oProductController.GenerateProductCode(); otblProductInfo.strProductName = Convert.ToString(e.NewValues["strProductName"]); otblProductInfo.SKU = Convert.ToString(e.NewValues["SKU"]); otblProductInfo.PACK = Convert.ToString(e.NewValues["PACK"]); otblProductInfo.intQtyPerCase = Convert.ToInt32(e.NewValues["intQtyPerCase"]); otblProductInfo.mnyCasePrice = Convert.ToDecimal(e.NewValues["mnyCasePrice"]); otblProductInfo.intTBQtyPerCase = Convert.ToInt32(e.NewValues["intTBQtyPerCase"]); otblProductInfo.bIsActive = Convert.ToBoolean(e.NewValues["bIsActive"]); otblProductInfo.intSortingOrder = (db.tblProductInfos.Max(p => (int?)p.intSortingOrder) ?? 0) + 1;//oProductController.GenerateSortingOrder(); db.tblProductInfos.InsertOnSubmit(otblProductInfo);//the InsertOnSubmit method called in the preceding code was named Add and the DeleteOnSubmit method was named Remove. db.SubmitChanges(); BindGridView(); //oProductController.InsertAndSubmit(); // ASPxGridView1.DataBind(); } My SQL syntax CREATE TABLE [dbo].[tblProductInfo]( [intProductCode] [int] NOT NULL, [strProductName] [varchar](100) NULL, [SKU] [varchar](50) NULL, [PACK] [varchar](50) NULL, [intQtyPerCase] [int] NULL, [mnyCasePrice] [money] NULL, [intTBQtyPerCase] [int] NULL, [bIsActive] [bit] NULL, [intSortingOrder] [int] NULL, [strProductAccCode] [varchar](max) NULL, CONSTRAINT [PK_tblProductInfo] PRIMARY KEY CLUSTERED ( [intProductCode] ASC )WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, IGNORE_DUP_KEY = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON) ON [PRIMARY] ) ON [PRIMARY] When i want to insert ,show me error message Specified method is not supported. How to solve it.

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  • Performing Aggregate Functions on Multi-Million Row Tables

    - by Daniel Short
    I'm having some serious performance issues with a multi-million row table that I feel I should be able to get results from fairly quick. Here's a run down of what I have, how I'm querying it, and how long it's taking: I'm running SQL Server 2008 Standard, so Partitioning isn't currently an option I'm attempting to aggregate all views for all inventory for a specific account over the last 30 days. All views are stored in the following table: CREATE TABLE [dbo].[LogInvSearches_Daily]( [ID] [bigint] IDENTITY(1,1) NOT NULL, [Inv_ID] [int] NOT NULL, [Site_ID] [int] NOT NULL, [LogCount] [int] NOT NULL, [LogDay] [smalldatetime] NOT NULL, CONSTRAINT [PK_LogInvSearches_Daily] PRIMARY KEY CLUSTERED ( [ID] ASC )WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, IGNORE_DUP_KEY = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON, FILLFACTOR = 90) ON [PRIMARY] ) ON [PRIMARY] This table has 132,000,000 records, and is over 4 gigs. A sample of 10 rows from the table: ID Inv_ID Site_ID LogCount LogDay -------------------- ----------- ----------- ----------- ----------------------- 1 486752 48 14 2009-07-21 00:00:00 2 119314 51 16 2009-07-21 00:00:00 3 313678 48 25 2009-07-21 00:00:00 4 298863 0 1 2009-07-21 00:00:00 5 119996 0 2 2009-07-21 00:00:00 6 463777 534 7 2009-07-21 00:00:00 7 339976 503 2 2009-07-21 00:00:00 8 333501 570 4 2009-07-21 00:00:00 9 453955 0 12 2009-07-21 00:00:00 10 443291 0 4 2009-07-21 00:00:00 (10 row(s) affected) I have the following index on LogInvSearches_Daily: /****** Object: Index [IX_LogInvSearches_Daily_LogDay] Script Date: 05/12/2010 11:08:22 ******/ CREATE NONCLUSTERED INDEX [IX_LogInvSearches_Daily_LogDay] ON [dbo].[LogInvSearches_Daily] ( [LogDay] ASC ) INCLUDE ( [Inv_ID], [LogCount]) WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, SORT_IN_TEMPDB = OFF, IGNORE_DUP_KEY = OFF, DROP_EXISTING = OFF, ONLINE = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON) ON [PRIMARY] I need to pull inventory only from the Inventory for a specific account id. I have an index on the Inventory as well. I'm using the following query to aggregate the data and give me the top 5 records. This query is currently taking 24 seconds to return the 5 rows: StmtText ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- SELECT TOP 5 Sum(LogCount) AS Views , DENSE_RANK() OVER(ORDER BY Sum(LogCount) DESC, Inv_ID DESC) AS Rank , Inv_ID FROM LogInvSearches_Daily D (NOLOCK) WHERE LogDay DateAdd(d, -30, getdate()) AND EXISTS( SELECT NULL FROM propertyControlCenter.dbo.Inventory (NOLOCK) WHERE Acct_ID = 18731 AND Inv_ID = D.Inv_ID ) GROUP BY Inv_ID (1 row(s) affected) StmtText ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |--Top(TOP EXPRESSION:((5))) |--Sequence Project(DEFINE:([Expr1007]=dense_rank)) |--Segment |--Segment |--Sort(ORDER BY:([Expr1006] DESC, [D].[Inv_ID] DESC)) |--Stream Aggregate(GROUP BY:([D].[Inv_ID]) DEFINE:([Expr1006]=SUM([LOALogs].[dbo].[LogInvSearches_Daily].[LogCount] as [D].[LogCount]))) |--Sort(ORDER BY:([D].[Inv_ID] ASC)) |--Nested Loops(Inner Join, OUTER REFERENCES:([D].[Inv_ID])) |--Nested Loops(Inner Join, OUTER REFERENCES:([Expr1011], [Expr1012], [Expr1010])) | |--Compute Scalar(DEFINE:(([Expr1011],[Expr1012],[Expr1010])=GetRangeWithMismatchedTypes(dateadd(day,(-30),getdate()),NULL,(6)))) | | |--Constant Scan | |--Index Seek(OBJECT:([LOALogs].[dbo].[LogInvSearches_Daily].[IX_LogInvSearches_Daily_LogDay] AS [D]), SEEK:([D].[LogDay] > [Expr1011] AND [D].[LogDay] < [Expr1012]) ORDERED FORWARD) |--Index Seek(OBJECT:([propertyControlCenter].[dbo].[Inventory].[IX_Inventory_Acct_ID]), SEEK:([propertyControlCenter].[dbo].[Inventory].[Acct_ID]=(18731) AND [propertyControlCenter].[dbo].[Inventory].[Inv_ID]=[LOA (13 row(s) affected) I tried using a CTE to pick up the rows first and aggregate them, but that didn't run any faster, and gives me essentially the same execution plan. (1 row(s) affected) StmtText ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- --SET SHOWPLAN_TEXT ON; WITH getSearches AS ( SELECT LogCount -- , DENSE_RANK() OVER(ORDER BY Sum(LogCount) DESC, Inv_ID DESC) AS Rank , D.Inv_ID FROM LogInvSearches_Daily D (NOLOCK) INNER JOIN propertyControlCenter.dbo.Inventory I (NOLOCK) ON Acct_ID = 18731 AND I.Inv_ID = D.Inv_ID WHERE LogDay DateAdd(d, -30, getdate()) -- GROUP BY Inv_ID ) SELECT Sum(LogCount) AS Views, Inv_ID FROM getSearches GROUP BY Inv_ID (1 row(s) affected) StmtText ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ |--Stream Aggregate(GROUP BY:([D].[Inv_ID]) DEFINE:([Expr1004]=SUM([LOALogs].[dbo].[LogInvSearches_Daily].[LogCount] as [D].[LogCount]))) |--Sort(ORDER BY:([D].[Inv_ID] ASC)) |--Nested Loops(Inner Join, OUTER REFERENCES:([D].[Inv_ID])) |--Nested Loops(Inner Join, OUTER REFERENCES:([Expr1008], [Expr1009], [Expr1007])) | |--Compute Scalar(DEFINE:(([Expr1008],[Expr1009],[Expr1007])=GetRangeWithMismatchedTypes(dateadd(day,(-30),getdate()),NULL,(6)))) | | |--Constant Scan | |--Index Seek(OBJECT:([LOALogs].[dbo].[LogInvSearches_Daily].[IX_LogInvSearches_Daily_LogDay] AS [D]), SEEK:([D].[LogDay] > [Expr1008] AND [D].[LogDay] < [Expr1009]) ORDERED FORWARD) |--Index Seek(OBJECT:([propertyControlCenter].[dbo].[Inventory].[IX_Inventory_Acct_ID] AS [I]), SEEK:([I].[Acct_ID]=(18731) AND [I].[Inv_ID]=[LOALogs].[dbo].[LogInvSearches_Daily].[Inv_ID] as [D].[Inv_ID]) ORDERED FORWARD) (8 row(s) affected) (1 row(s) affected) So given that I'm getting good Index Seeks in my execution plan, what can I do to get this running faster? Thanks, Dan

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  • Cold Start

    - by antony.reynolds
    Well we had snow drifts 3ft deep on Saturday so it must be spring time.  In preparation for Spring we decided to move the lawn tractor.  Of course after sitting in the garage all winter it refused to start.  I then come into the office and need to start my 11g SOA Suite installation.  I thought about this and decided my tractor might be cranky but at least I can script the startup of my SOA Suite 11g installation. So with this in mind I created 6 scripts.  I created them for Linux but they should translate to Windows without too many problems.  This is left as an exercise to the reader, note you will have to hardcode more than I did in the Linux scripts and create separate script files for the sqlplus and WLST sections. Order to start things I believe there should be order in all things, especially starting the SOA Suite.  So here is my preferred order. Start Database This is need by EM and the rest of SOA Suite so best to start it before the Admin Server and managed servers. Start Node Manager on all machines This is needed if you want the scripts to work across machines. Start Admin Server Once this is done in theory you can manually stat the managed servers using WebLogic console.  But then you have to wait for console to be available.  Scripting it all is quicker and easier way of starting. Start Managed Servers & Clusters Best to start them one per physical machine at a time to avoid undue load on the machines.  Non-clustered install will have just soa_server1 and bam_serv1 by default.  Clusters will have at least SOA and BAM clusters that can be started as a group or individually.  I have provided scripts for standalone servers, but easy to change them to work with clusters. Starting Database I have provided a very primitive script (available here) to start the database, the listener and the DB console.  The section highlighted in red needs to match your database name. #!/bin/sh echo "##############################" echo "# Setting Oracle Environment #" echo "##############################" . oraenv <<-EOF orcl EOF echo "#####################" echo "# Starting Database #" echo "#####################" sqlplus / as sysdba <<-EOF startup exit EOF echo "#####################" echo "# Starting Listener #" echo "#####################" lsnrctl start echo "######################" echo "# Starting dbConsole #" echo "######################" emctl start dbconsole read -p "Hit <enter> to continue" Starting SOA Suite My script for starting the SOA Suite (available here) breaks the task down into five sections. Setting the Environment First set up the environment variables.  The variables highlighted in red probably need changing for your environment. #!/bin/sh echo "###########################" echo "# Setting SOA Environment #" echo "###########################" export MW_HOME=~oracle/Middleware11gPS1 export WL_HOME=$MW_HOME/wlserver_10.3 export ORACLE_HOME=$MW_HOME/Oracle_SOA export DOMAIN_NAME=soa_std_domain export DOMAIN_HOME=$MW_HOME/user_projects/domains/$DOMAIN_NAME Starting the Node Manager I start node manager with a nohup to stop it exiting when the script terminates and I redirect the standard output and standard error to a file in a logs directory. cd $DOMAIN_HOME echo "#########################" echo "# Starting Node Manager #" echo "#########################" nohup $WL_HOME/server/bin/startNodeManager.sh >logs/NodeManager.out 2>&1 & Starting the Admin Server I had problems starting the Admin Server from Node Manager so I decided to start it using the command line script.  I again use nohup and redirect output. echo "#########################" echo "# Starting Admin Server #" echo "#########################" nohup ./startWebLogic.sh >logs/AdminServer.out 2>&1 & Starting the Managed Servers I then used WLST (WebLogic Scripting Tool) to start the managed servers.  First I waited for the Admin Server to come up by putting a connect command in a loop.  I could have put the WLST commands into a separate script file but I wanted to reduce the number of files I was using and so used redirected input (here syntax). $ORACLE_HOME/common/bin/wlst.sh <<-EOF import time sleep=time.sleep print "#####################################" print "# Waiting for Admin Server to Start #" print "#####################################" while True:   try:     connect(adminServerName="AdminServer")     break   except:     sleep(10) I then start the SOA server and tell WLST to wait until it is started before returning.  If starting a cluster then the start command would be modified accordingly to start the SOA cluster. print "#######################" print "# Starting SOA Server #" print "#######################" start(name="soa_server1", block="true") I then start the BAM server in the same way as the SOA server. print "#######################" print "# Starting BAM Server #" print "#######################" start(name="bam_server1", block="true") EOF Finally I let people know the servers are up and wait for input in case I am running in a separate window, in which case the result would be lost without the read command. echo "#####################" echo "# SOA Suite Started #" echo "#####################" read -p "Hit <enter> to continue" Stopping the SOA Suite My script for shutting down the SOA Suite (available here)  is basically the reverse of my startup script.  After setting the environment I connect to the Admin Server using WLST and shut down the managed servers and the admin server.  Again the script would need modifying for a cluster. Stopping the Servers If I cannot connect to the Admin Server I try to connect to the node manager, in case the Admin Server is down but the managed servers are up. #!/bin/sh echo "###########################" echo "# Setting SOA Environment #" echo "###########################" export MW_HOME=~oracle/Middleware11gPS1 export WL_HOME=$MW_HOME/wlserver_10.3 export ORACLE_HOME=$MW_HOME/Oracle_SOA export DOMAIN_NAME=soa_std_domain export DOMAIN_HOME=$MW_HOME/user_projects/domains/$DOMAIN_NAME cd $DOMAIN_HOME $MW_HOME/Oracle_SOA/common/bin/wlst.sh <<-EOF try:   print("#############################")   print("# Connecting to AdminServer #")   print("#############################")   connect(username='weblogic',password='welcome1',url='t3://localhost:7001') except:   print "#########################################"   print "#   Unable to connect to Admin Server   #"   print "# Attempting to connect to Node Manager #"   print "#########################################"   nmConnect(domainName=os.getenv("DOMAIN_NAME")) print "#######################" print "# Stopping BAM Server #" print "#######################" shutdown('bam_server1') print "#######################" print "# Stopping SOA Server #" print "#######################" shutdown('soa_server1') print "#########################" print "# Stopping Admin Server #" print "#########################" shutdown('AdminServer') disconnect() nmDisconnect() EOF Stopping the Node Manager I stopped the node manager by searching for the java node manager process using the ps command and then killing that process. echo "#########################" echo "# Stopping Node Manager #" echo "#########################" kill -9 `ps -ef | grep java | grep NodeManager |  awk '{print $2;}'` echo "#####################" echo "# SOA Suite Stopped #" echo "#####################" read -p "Hit <enter> to continue" Stopping the Database Again my script for shutting down the database is the reverse of my start script.  It is available here.  The only change needed might be to the database name. #!/bin/sh echo "##############################" echo "# Setting Oracle Environment #" echo "##############################" . oraenv <<-EOF orcl EOF echo "######################" echo "# Stopping dbConsole #" echo "######################" emctl stop dbconsole echo "#####################" echo "# Stopping Listener #" echo "#####################" lsnrctl stop echo "#####################" echo "# Stopping Database #" echo "#####################" sqlplus / as sysdba <<-EOF shutdown immediate exit EOF read -p "Hit <enter> to continue" Cleaning Up Cleaning SOA Suite I often run tests and want to clean up all the log files.  The following script (available here) does this for the WebLogic servers in a given domain on a machine.  After setting the domain I just remove all files under the servers logs directories.  It also cleans up the log files I created with my startup scripts.  These scripts could be enhanced to copy off the log files if you needed them but in my test environments I don’t need them and would prefer to reclaim the disk space. #!/bin/sh echo "###########################" echo "# Setting SOA Environment #" echo "###########################" export MW_HOME=~oracle/Middleware11gPS1 export WL_HOME=$MW_HOME/wlserver_10.3 export ORACLE_HOME=$MW_HOME/Oracle_SOA export DOMAIN_NAME=soa_std_domain export DOMAIN_HOME=$MW_HOME/user_projects/domains/$DOMAIN_NAME echo "##########################" echo "# Cleaning SOA Log Files #" echo "##########################" cd $DOMAIN_HOME rm -Rf logs/* servers/*/logs/* read -p "Hit <enter> to continue" Cleaning Database I also created a script to clean up the dump files of an Oracle database instance and also the EM log files (available here).  This relies on the machine name being correct as the EM log files are stored in a directory that is based on the hostname and the Oracle SID. #!/bin/sh echo "##############################" echo "# Setting Oracle Environment #" echo "##############################" . oraenv <<-EOF orcl EOF echo "#############################" echo "# Cleaning Oracle Log Files #" echo "#############################" rm -Rf $ORACLE_BASE/admin/$ORACLE_SID/*dump/* rm -Rf $ORACLE_HOME/`hostname`_$ORACLE_SID/sysman/log/* read -p "Hit <enter> to continue" Summary Hope you find the above scripts useful.  They certainly stop me hanging around waiting for things to happen on my test machine and make it easy to run a test, change parameters, bounce the SOA Suite and clean the logs between runs so I can see exactly what is happening. Now I need to get that mower started…

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  • CodePlex Daily Summary for Wednesday, May 26, 2010

    CodePlex Daily Summary for Wednesday, May 26, 2010New Projects3D File Manager: 3D File manager is an application that aims to show how could look file manager in 3D. It´s developed in C# and XNA frameworkAcies: Acies is a dungeon crawler game done with C# and XNA.ActiveWinery: The open source winery and vineyard application.CC.Yacht: CC.Yacht is a client/server yacht dice game written in C# .NET. It utilizes a net.tcp WCF duplex service for client/server communication.Community Forums NNTP bridge: Community project for accessing the MS Web-Forums via an open source NNTP newsserver (bridge).Dojo Timer: WPF timer for Coding Dojo meetings. Timer feito em WPF para Coding Dojo.GameFX - The Game Development Framework: The Game Development Framework (GameFX) is simply a set of libraries to be used as the foundation for any simple 2D tile-based game. It can be used...Greg Roberts MVC Extensions: Asp.Net MVC Extensions including JSONP ActionResult. Targeted for MVC 2 and .NET 4.0.IIS Deploy: Project to develop a tool that automates the deploy Web sites and WCF services in single server environments and clustered.MarkLogic Sample Authoring App for Word: The MarkLogic Authoring Sample App for Word lets authors enrich Word documents using Content Controls, associate and manage metadata with those Con...Mono.Addins: Mono.Addins is a framework for creating extensible applications, and for creating add-ins which extend applications.MPCLI: MPCLI is a library that brings the power of the GNU MP big numbers library to those who use CLS-compliant languages such as C#, F#, and Visual Basi...NTFS parser classes: This is a C++ library to help parsing an NTFS volume, as well as file records and attributes. It will facilitate much when handling NTFS filesystem...Oddworld Level Gen: A 2D platform game, with Oddworld : Abe's Oddysee asset. 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  • What's up with OCFS2?

    - by wcoekaer
    On Linux there are many filesystem choices and even from Oracle we provide a number of filesystems, all with their own advantages and use cases. Customers often confuse ACFS with OCFS or OCFS2 which then causes assumptions to be made such as one replacing the other etc... I thought it would be good to write up a summary of how OCFS2 got to where it is, what we're up to still, how it is different from other options and how this really is a cool native Linux cluster filesystem that we worked on for many years and is still widely used. Work on a cluster filesystem at Oracle started many years ago, in the early 2000's when the Oracle Database Cluster development team wrote a cluster filesystem for Windows that was primarily focused on providing an alternative to raw disk devices and help customers with the deployment of Oracle Real Application Cluster (RAC). Oracle RAC is a cluster technology that lets us make a cluster of Oracle Database servers look like one big database. The RDBMS runs on many nodes and they all work on the same data. It's a Shared Disk database design. There are many advantages doing this but I will not go into detail as that is not the purpose of my write up. Suffice it to say that Oracle RAC expects all the database data to be visible in a consistent, coherent way, across all the nodes in the cluster. To do that, there were/are a few options : 1) use raw disk devices that are shared, through SCSI, FC, or iSCSI 2) use a network filesystem (NFS) 3) use a cluster filesystem(CFS) which basically gives you a filesystem that's coherent across all nodes using shared disks. It is sort of (but not quite) combining option 1 and 2 except that you don't do network access to the files, the files are effectively locally visible as if it was a local filesystem. So OCFS (Oracle Cluster FileSystem) on Windows was born. Since Linux was becoming a very important and popular platform, we decided that we would also make this available on Linux and thus the porting of OCFS/Windows started. The first version of OCFS was really primarily focused on replacing the use of Raw devices with a simple filesystem that lets you create files and provide direct IO to these files to get basically native raw disk performance. The filesystem was not designed to be fully POSIX compliant and it did not have any where near good/decent performance for regular file create/delete/access operations. Cache coherency was easy since it was basically always direct IO down to the disk device and this ensured that any time one issues a write() command it would go directly down to the disk, and not return until the write() was completed. Same for read() any sort of read from a datafile would be a read() operation that went all the way to disk and return. We did not cache any data when it came down to Oracle data files. So while OCFS worked well for that, since it did not have much of a normal filesystem feel, it was not something that could be submitted to the kernel mail list for inclusion into Linux as another native linux filesystem (setting aside the Windows porting code ...) it did its job well, it was very easy to configure, node membership was simple, locking was disk based (so very slow but it existed), you could create regular files and do regular filesystem operations to a certain extend but anything that was not database data file related was just not very useful in general. Logfiles ok, standard filesystem use, not so much. Up to this point, all the work was done, at Oracle, by Oracle developers. Once OCFS (1) was out for a while and there was a lot of use in the database RAC world, many customers wanted to do more and were asking for features that you'd expect in a normal native filesystem, a real "general purposes cluster filesystem". So the team sat down and basically started from scratch to implement what's now known as OCFS2 (Oracle Cluster FileSystem release 2). Some basic criteria were : Design it with a real Distributed Lock Manager and use the network for lock negotiation instead of the disk Make it a Linux native filesystem instead of a native shim layer and a portable core Support standard Posix compliancy and be fully cache coherent with all operations Support all the filesystem features Linux offers (ACL, extended Attributes, quotas, sparse files,...) Be modern, support large files, 32/64bit, journaling, data ordered journaling, endian neutral, we can mount on both endian /cross architecture,.. Needless to say, this was a huge development effort that took many years to complete. A few big milestones happened along the way... OCFS2 was development in the open, we did not have a private tree that we worked on without external code review from the Linux Filesystem maintainers, great folks like Christopher Hellwig reviewed the code regularly to make sure we were not doing anything out of line, we submitted the code for review on lkml a number of times to see if we were getting close for it to be included into the mainline kernel. Using this development model is standard practice for anyone that wants to write code that goes into the kernel and having any chance of doing so without a complete rewrite or.. shall I say flamefest when submitted. It saved us a tremendous amount of time by not having to re-fit code for it to be in a Linus acceptable state. Some other filesystems that were trying to get into the kernel that didn't follow an open development model had a lot harder time and a lot harsher criticism. March 2006, when Linus released 2.6.16, OCFS2 officially became part of the mainline kernel, it was accepted a little earlier in the release candidates but in 2.6.16. OCFS2 became officially part of the mainline Linux kernel tree as one of the many filesystems. It was the first cluster filesystem to make it into the kernel tree. Our hope was that it would then end up getting picked up by the distribution vendors to make it easy for everyone to have access to a CFS. Today the source code for OCFS2 is approximately 85000 lines of code. We made OCFS2 production with full support for customers that ran Oracle database on Linux, no extra or separate support contract needed. OCFS2 1.0.0 started being built for RHEL4 for x86, x86-64, ppc, s390x and ia64. For RHEL5 starting with OCFS2 1.2. SuSE was very interested in high availability and clustering and decided to build and include OCFS2 with SLES9 for their customers and was, next to Oracle, the main contributor to the filesystem for both new features and bug fixes. Source code was always available even prior to inclusion into mainline and as of 2.6.16, source code was just part of a Linux kernel download from kernel.org, which it still is, today. So the latest OCFS2 code is always the upstream mainline Linux kernel. OCFS2 is the cluster filesystem used in Oracle VM 2 and Oracle VM 3 as the virtual disk repository filesystem. Since the filesystem is in the Linux kernel it's released under the GPL v2 The release model has always been that new feature development happened in the mainline kernel and we then built consistent, well tested, snapshots that had versions, 1.2, 1.4, 1.6, 1.8. But these releases were effectively just snapshots in time that were tested for stability and release quality. OCFS2 is very easy to use, there's a simple text file that contains the node information (hostname, node number, cluster name) and a file that contains the cluster heartbeat timeouts. It is very small, and very efficient. As Sunil Mushran wrote in the manual : OCFS2 is an efficient, easily configured, quickly installed, fully integrated and compatible, feature-rich, architecture and endian neutral, cache coherent, ordered data journaling, POSIX-compliant, shared disk cluster file system. Here is a list of some of the important features that are included : Variable Block and Cluster sizes Supports block sizes ranging from 512 bytes to 4 KB and cluster sizes ranging from 4 KB to 1 MB (increments in power of 2). Extent-based Allocations Tracks the allocated space in ranges of clusters making it especially efficient for storing very large files. Optimized Allocations Supports sparse files, inline-data, unwritten extents, hole punching and allocation reservation for higher performance and efficient storage. File Cloning/snapshots REFLINK is a feature which introduces copy-on-write clones of files in a cluster coherent way. Indexed Directories Allows efficient access to millions of objects in a directory. Metadata Checksums Detects silent corruption in inodes and directories. Extended Attributes Supports attaching an unlimited number of name:value pairs to the file system objects like regular files, directories, symbolic links, etc. Advanced Security Supports POSIX ACLs and SELinux in addition to the traditional file access permission model. Quotas Supports user and group quotas. Journaling Supports both ordered and writeback data journaling modes to provide file system consistency in the event of power failure or system crash. Endian and Architecture neutral Supports a cluster of nodes with mixed architectures. Allows concurrent mounts on nodes running 32-bit and 64-bit, little-endian (x86, x86_64, ia64) and big-endian (ppc64) architectures. In-built Cluster-stack with DLM Includes an easy to configure, in-kernel cluster-stack with a distributed lock manager. Buffered, Direct, Asynchronous, Splice and Memory Mapped I/Os Supports all modes of I/Os for maximum flexibility and performance. Comprehensive Tools Support Provides a familiar EXT3-style tool-set that uses similar parameters for ease-of-use. The filesystem was distributed for Linux distributions in separate RPM form and this had to be built for every single kernel errata release or every updated kernel provided by the vendor. We provided builds from Oracle for Oracle Linux and all kernels released by Oracle and for Red Hat Enterprise Linux. SuSE provided the modules directly for every kernel they shipped. With the introduction of the Unbreakable Enterprise Kernel for Oracle Linux and our interest in reducing the overhead of building filesystem modules for every minor release, we decide to make OCFS2 available as part of UEK. There was no more need for separate kernel modules, everything was built-in and a kernel upgrade automatically updated the filesystem, as it should. UEK allowed us to not having to backport new upstream filesystem code into an older kernel version, backporting features into older versions introduces risk and requires extra testing because the code is basically partially rewritten. The UEK model works really well for continuing to provide OCFS2 without that extra overhead. Because the RHEL kernel did not contain OCFS2 as a kernel module (it is in the source tree but it is not built by the vendor in kernel module form) we stopped adding the extra packages to Oracle Linux and its RHEL compatible kernel and for RHEL. Oracle Linux customers/users obviously get OCFS2 included as part of the Unbreakable Enterprise Kernel, SuSE customers get it by SuSE distributed with SLES and Red Hat can decide to distribute OCFS2 to their customers if they chose to as it's just a matter of compiling the module and making it available. OCFS2 today, in the mainline kernel is pretty much feature complete in terms of integration with every filesystem feature Linux offers and it is still actively maintained with Joel Becker being the primary maintainer. Since we use OCFS2 as part of Oracle VM, we continue to look at interesting new functionality to add, REFLINK was a good example, and as such we continue to enhance the filesystem where it makes sense. Bugfixes and any sort of code that goes into the mainline Linux kernel that affects filesystems, automatically also modifies OCFS2 so it's in kernel, actively maintained but not a lot of new development happening at this time. We continue to fully support OCFS2 as part of Oracle Linux and the Unbreakable Enterprise Kernel and other vendors make their own decisions on support as it's really a Linux cluster filesystem now more than something that we provide to customers. It really just is part of Linux like EXT3 or BTRFS etc, the OS distribution vendors decide. Do not confuse OCFS2 with ACFS (ASM cluster Filesystem) also known as Oracle Cloud Filesystem. ACFS is a filesystem that's provided by Oracle on various OS platforms and really integrates into Oracle ASM (Automatic Storage Management). It's a very powerful Cluster Filesystem but it's not distributed as part of the Operating System, it's distributed with the Oracle Database product and installs with and lives inside Oracle ASM. ACFS obviously is fully supported on Linux (Oracle Linux, Red Hat Enterprise Linux) but OCFS2 independently as a native Linux filesystem is also, and continues to also be supported. ACFS is very much tied into the Oracle RDBMS, OCFS2 is just a standard native Linux filesystem with no ties into Oracle products. Customers running the Oracle database and ASM really should consider using ACFS as it also provides storage/clustered volume management. Customers wanting to use a simple, easy to use generic Linux cluster filesystem should consider using OCFS2. To learn more about OCFS2 in detail, you can find good documentation on http://oss.oracle.com/projects/ocfs2 in the Documentation area, or get the latest mainline kernel from http://kernel.org and read the source. One final, unrelated note - since I am not always able to publicly answer or respond to comments, I do not want to selectively publish comments from readers. Sometimes I forget to publish comments, sometime I publish them and sometimes I would publish them but if for some reason I cannot publicly comment on them, it becomes a very one-sided stream. So for now I am going to not publish comments from anyone, to be fair to all sides. You are always welcome to email me and I will do my best to respond to technical questions, questions about strategy or direction are sometimes not possible to answer for obvious reasons.

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  • Unaccounted for database size

    - by Nazadus
    I currently have a database that is 20GB in size. I've run a few scripts which show on each tables size (and other incredibly useful information such as index stuff) and the biggest table is 1.1 million records which takes up 150MB of data. We have less than 50 tables most of which take up less than 1MB of data. After looking at the size of each table I don't understand why the database shouldn't be 1GB in size after a shrink. The amount of available free space that SqlServer (2005) reports is 0%. The log mode is set to simple. At this point my main concern is I feel like I have 19GB of unaccounted for used space. Is there something else I should look at? Normally I wouldn't care and would make this a passive research project except this particular situation calls for us to do a backup and restore on a weekly basis to put a copy on a satellite (which has no internet, so it must be done manually). I'd much rather copy 1GB (or even if it were down to 5GB!) than 20GB of data each week. sp_spaceused reports the following: Navigator-Production 19184.56 MB 3.02 MB And the second part of it: 19640872 KB 19512112 KB 108184 KB 20576 KB while I've found a few other scripts (such as the one from two of the server database size questions here, they all report the same information either found above or below). The script I am using is from SqlTeam. Here is the header info: * BigTables.sql * Bill Graziano (SQLTeam.com) * graz@<email removed> * v1.11 The top few tables show this (table, rows, reserved space, data, index, unused, etc): Activity 1143639 131 MB 89 MB 41768 KB 1648 KB 46% 1% EventAttendance 883261 90 MB 58 MB 32264 KB 328 KB 54% 0% Person 113437 31 MB 15 MB 15752 KB 912 KB 103% 3% HouseholdMember 113443 12 MB 6 MB 5224 KB 432 KB 82% 4% PostalAddress 48870 8 MB 6 MB 2200 KB 280 KB 36% 3% The rest of the tables are either the same in size or smaller. No more than 50 tables. Update 1: - All tables use unique identifiers. Usually an int incremented by 1 per row. I've also re-indexed everything. I ran the dbcc shrink command as well as updating the usage before and after. And over and over. An interesting thing I found is that when I restarted the server and confirmed no one was using it (and no maintenance procs are running, this is a very new application -- under a week old) and when I went to run the shrink, every now and then it would say something about data changed. Googling yielded too few useful answers with the obvious not applying (it was 1am and I disconnected everyone, so it seems impossible that was really the case). The data was migrated via C# code which basically looked at another server and brought things over. The quantity of deletes, at this point in time, are probably under 50k in rows. Even if those rows were the biggest rows, that wouldn't be more than 100M I would imagine. When I go to shrink via the GUI it reports 0% available to shrink, indicating that I've already gotten it as small as it thinks it can go. Update 2: sp_spaceused 'Activity' yields this (which seems right on the money): Activity 1143639 134488 KB 91072 KB 41768 KB 1648 KB Fill factor was 90. All primary keys are ints. Here is the command I used to 'updateusage': DBCC UPDATEUSAGE(0); Update 3: Per Edosoft's request: Image 111975 2407773 19262184 It appears as though the image table believes it's the 19GB portion. I don't understand what this means though. Is it really 19GB or is it misrepresented? Update 4: Talking to a co-worker and I found out that it's because of the pages, as someone else here has also state the potential for that. The only index on the image table is a clustered PK. Is this something I can fix or do I just have to deal with it? The regular script shows the Image table to be 6MB in size. Update 5: I think I'm just going to have to deal with it after further research. The images have been resized to be roughly 2-5KB each and on a normal file system doesn't consume much space but on SqlServer it seems to consume considerably more. The real answer, in the long run, will likely be separating that table in to another partition or something similar.

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  • Apache2 mod_proxy to remote Tomcat7 - slow response

    - by 12N
    Been stuck with this one for a few days. Will try to provide as much information as possible, but please feel free to ask for extra detail. I have 2 VMs behind a NAT, 192.168.0.100 and 192.168.0.102, both running Ubuntu 11.04 x64. The first one is mapped to the exterior and is our webserver, has one Apache/2.2.17 install with several vhosts to serve static content, and there's also mod_jk for load balancing. The second one has a tomcat 7 install with several J2EE REST webservices but no apache - requests are expected to be passed directly from .100 apache to .102 tomcat. It is my intention to prepare a tomcat clustered environment. My problem: Requests reach to 192.168.0.100 with no trouble whatsoever, but then take about... 100 seconds for data to actually arrive to .102 - by that time apache has already timeouted, but tomcat receives and processes the request pretty normally. This happens both when using mod_jk, mod_proxy, or mod_ajp_proxy. No idea why, since there are no firewalls in either of the machines, both are pingable - more than that, there are NFS shares active working like a charm - and a mod_proxy experience shown that requests originating directly from .100 are processed normally. Also, to add insult to injury, a similar environment is set up at our office network. Everything works perfectly. -_- The only difference? We have no ip translation at the office and do everything by internal addresses - dunno if that's relevant in any way. Some configs: Apache vhost: <VirtualHost *:80> ServerAdmin webmaster@localhost DocumentRoot /var/www/ ServerName www.example.com ProxyRequests Off <Proxy *> Options Indexes FollowSymLinks MultiViews AllowOverride all Order allow,deny allow from all </Proxy> ProxyPass /bork http://192.168.0.102:8080/bork ProxyPassReverse /bork http://192.168.0.102:8080/bork LogLevel debug CustomLog ${APACHE_LOG_DIR}/api_access.log combined ErrorLog ${APACHE_LOG_DIR}/api_error.log </VirtualHost> Tomcat connectors <Connector port="8080" protocol="HTTP/1.1" connectionTimeout="20000" redirectPort="8443" /> <Connector port="8009" enableLookups="false" redirectPort="8443" protocol="AJP/1.3" /> And a debug log from apache, from a test using mod_proxy_ajp. The behavior is pretty much the same in mod_proxy, at least regarding the delay. Please note that tomcat eventually receives and processes the request, more or less when the log starts being updated again: [Sun May 06 14:40:33 2012] [debug] proxy_util.c(1506): [client 188.81.234.2] proxy: ajp: found worker ajp://192.168.0.102:8008/bork for ajp://192.168.0.102:8008/bork/SSOIdentityProviderSoap [Sun May 06 14:40:33 2012] [debug] mod_proxy.c(1015): Running scheme ajp handler (attempt 0) [Sun May 06 14:40:33 2012] [debug] mod_proxy_ajp.c(661): proxy: AJP: serving URL ajp://192.168.0.102:8008/bork/SSOIdentityProviderSoap [Sun May 06 14:40:33 2012] [debug] proxy_util.c(2011): proxy: AJP: has acquired connection for (192.168.0.102) [Sun May 06 14:40:33 2012] [debug] proxy_util.c(2067): proxy: connecting ajp://192.168.0.102:8008/bork/SSOIdentityProviderSoap to 192.168.0.102:8008 [Sun May 06 14:40:33 2012] [debug] proxy_util.c(2193): proxy: connected /bork/SSOIdentityProviderSoap to 192.168.0.102:8008 [Sun May 06 14:40:33 2012] [debug] proxy_util.c(2444): proxy: AJP: fam 2 socket created to connect to 192.168.0.102 [Sun May 06 14:40:33 2012] [debug] ajp_header.c(224): Into ajp_marshal_into_msgb [Sun May 06 14:40:33 2012] [debug] ajp_header.c(290): ajp_marshal_into_msgb: Header[0] [Accept-Encoding] = [gzip,deflate] [Sun May 06 14:40:33 2012] [debug] ajp_header.c(290): ajp_marshal_into_msgb: Header[1] [Content-Type] = [text/xml;charset=UTF-8] [Sun May 06 14:40:33 2012] [debug] ajp_header.c(290): ajp_marshal_into_msgb: Header[2] [SOAPAction] = [""] [Sun May 06 14:40:33 2012] [debug] ajp_header.c(290): ajp_marshal_into_msgb: Header[3] [User-Agent] = [Jakarta Commons-HttpClient/3.1] [Sun May 06 14:40:33 2012] [debug] ajp_header.c(290): ajp_marshal_into_msgb: Header[4] [Host] = [www.example.com] [Sun May 06 14:40:33 2012] [debug] ajp_header.c(290): ajp_marshal_into_msgb: Header[5] [Content-Length] = [520] [Sun May 06 14:40:33 2012] [debug] ajp_header.c(450): ajp_marshal_into_msgb: Done [Sun May 06 14:40:33 2012] [debug] mod_proxy_ajp.c(267): proxy: APR_BUCKET_IS_EOS [Sun May 06 14:40:33 2012] [debug] mod_proxy_ajp.c(272): proxy: data to read (max 8186 at 4) [Sun May 06 14:40:33 2012] [debug] mod_proxy_ajp.c(287): proxy: got 520 bytes of data [Sun May 06 14:40:33 2012] [debug] ajp_header.c(687): ajp_read_header: ajp_ilink_received 06 [Sun May 06 14:40:33 2012] [debug] ajp_header.c(697): ajp_parse_type: got 06 [Sun May 06 14:40:37 2012] [debug] proxy_util.c(1818): proxy: grabbed scoreboard slot 2 in child 5916 for worker ajp://192.168.0.100:8008/coding [Sun May 06 14:40:37 2012] [debug] proxy_util.c(1837): proxy: worker ajp://192.168.0.100:8008/coding already initialized [Sun May 06 14:40:37 2012] [debug] proxy_util.c(1934): proxy: initialized single connection worker 2 in child 5916 for (192.168.0.100) [Sun May 06 14:40:37 2012] [debug] proxy_util.c(1818): proxy: grabbed scoreboard slot 3 in child 5916 for worker http://192.168.0.102:8080 [Sun May 06 14:40:37 2012] [debug] proxy_util.c(1837): proxy: worker http://192.168.0.102:8080 already initialized [Sun May 06 14:40:37 2012] [debug] proxy_util.c(1934): proxy: initialized single connection worker 3 in child 5916 for (192.168.0.102) [Sun May 06 14:40:37 2012] [debug] proxy_util.c(1818): proxy: grabbed scoreboard slot 4 in child 5916 for worker ajp://192.168.0.102:8008/bork [Sun May 06 14:40:37 2012] [debug] proxy_util.c(1837): proxy: worker ajp://192.168.0.102:8008/bork already initialized [Sun May 06 14:40:37 2012] [debug] proxy_util.c(1934): proxy: initialized single connection worker 4 in child 5916 for (192.168.0.102) [Sun May 06 14:40:38 2012] [debug] proxy_util.c(1934): proxy: initialized single connection worker 2 in child 5918 for (192.168.0.100) [Sun May 06 14:40:38 2012] [debug] proxy_util.c(1818): proxy: grabbed scoreboard slot 3 in child 5918 for worker http://192.168.0.102:8080 [Sun May 06 14:40:38 2012] [debug] proxy_util.c(1837): proxy: worker http://192.168.0.102:8080 already initialized [Sun May 06 14:40:38 2012] [debug] proxy_util.c(1934): proxy: initialized single connection worker 3 in child 5918 for (192.168.0.102) [Sun May 06 14:40:38 2012] [debug] proxy_util.c(1818): proxy: grabbed scoreboard slot 4 in child 5918 for worker ajp://192.168.0.102:8008/bork [Sun May 06 14:40:38 2012] [debug] proxy_util.c(1837): proxy: worker ajp://192.168.0.102:8008/bork already initialized [Sun May 06 14:40:38 2012] [debug] proxy_util.c(1934): proxy: initialized single connection worker 4 in child 5918 for (192.168.0.102) [Sun May 06 14:40:38 2012] [debug] proxy_util.c(1818): proxy: grabbed scoreboard slot 2 in child 5917 for worker ajp://192.168.0.100:8008/coding [Sun May 06 14:40:38 2012] [debug] proxy_util.c(1837): proxy: worker ajp://192.168.0.100:8008/coding already initialized [Sun May 06 14:40:38 2012] [debug] proxy_util.c(1934): proxy: initialized single connection worker 2 in child 5917 for (192.168.0.100) [Sun May 06 14:40:38 2012] [debug] proxy_util.c(1818): proxy: grabbed scoreboard slot 3 in child 5917 for worker http://192.168.0.102:8080 [Sun May 06 14:40:38 2012] [debug] proxy_util.c(1837): proxy: worker http://192.168.0.102:8080 already initialized [Sun May 06 14:40:38 2012] [debug] proxy_util.c(1934): proxy: initialized single connection worker 3 in child 5917 for (192.168.0.102) [Sun May 06 14:40:38 2012] [debug] proxy_util.c(1818): proxy: grabbed scoreboard slot 4 in child 5917 for worker ajp://192.168.0.102:8008/bork [Sun May 06 14:40:38 2012] [debug] proxy_util.c(1837): proxy: worker ajp://192.168.0.102:8008/bork already initialized [Sun May 06 14:40:38 2012] [debug] proxy_util.c(1934): proxy: initialized single connection worker 4 in child 5917 for (192.168.0.102) [Sun May 06 14:42:09 2012] [debug] ajp_header.c(687): ajp_read_header: ajp_ilink_received 04 [Sun May 06 14:42:09 2012] [debug] ajp_header.c(697): ajp_parse_type: got 04 [Sun May 06 14:42:09 2012] [debug] ajp_header.c(516): ajp_unmarshal_response: status = 200 [Sun May 06 14:42:09 2012] [debug] ajp_header.c(537): ajp_unmarshal_response: Number of headers is = 1 [Sun May 06 14:42:09 2012] [debug] ajp_header.c(599): ajp_unmarshal_response: Header[0] [Content-Type] = [text/xml;charset=utf-8] [Sun May 06 14:42:09 2012] [debug] ajp_header.c(609): ajp_unmarshal_response: ap_set_content_type done [Sun May 06 14:42:09 2012] [debug] ajp_header.c(687): ajp_read_header: ajp_ilink_received 03 [Sun May 06 14:42:09 2012] [debug] ajp_header.c(697): ajp_parse_type: got 03 [Sun May 06 14:42:09 2012] [debug] ajp_header.c(687): ajp_read_header: ajp_ilink_received 03 [Sun May 06 14:42:09 2012] [debug] ajp_header.c(697): ajp_parse_type: got 03 [Sun May 06 14:42:09 2012] [debug] ajp_header.c(687): ajp_read_header: ajp_ilink_received 05 [Sun May 06 14:42:09 2012] [debug] ajp_header.c(697): ajp_parse_type: got 05 [Sun May 06 14:42:09 2012] [debug] mod_deflate.c(615): [client 188.81.234.2] Zlib: Compressed 447 to 255 : URL /bork/SSOIdentityProviderSoap [Sun May 06 14:42:09 2012] [debug] mod_proxy_ajp.c(570): proxy: got response from (null) (192.168.0.102) [Sun May 06 14:42:09 2012] [debug] proxy_util.c(2029): proxy: AJP: has released connection for (192.168.0.102) [Sun May 06 14:42:09 2012] [info] [client 188.81.234.2] Request body read timeout Was wondering if any one could provide some advice, perhaps even point out any hideous, horrible configuration error? thanks in advance!

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  • Why did my flash drive become "read only" and (how) can I fix it?

    - by Bob
    I have a brand new flash drive (one week old) that has become marked as read only, by Windows, Kubuntu and a bootable partitioner. Why did this happen? Is it fixable? If it is, how can I fix this? The problem Firstly, this drive is new. It's certainly not been used enough to die from normal wear and tear, though I would not discount defective components. The drive itself has somehow become locked in a read only state. Windows' Disk management: Diskpart: Generic Flash Disk USB Device Disk ID: 33FA33FA Type : USB Status : Online Path : 0 Target : 0 LUN ID : 0 Location Path : UNAVAILABLE Current Read-only State : Yes Read-only : No Boot Disk : No Pagefile Disk : No Hibernation File Disk : No Crashdump Disk : No Clustered Disk : No What really confuses me is Current Read-only State : Yes and Read-only : No. Attempted solutions So far, I've tried: Formatting it in Windows (in Disk management, the format options are greyed out when right clicking). DiskPart Clean (CLEAN - Clear the configuration information, or all information, off the disk.): DISKPART> clean DiskPart has encountered an error: The media is write protected. See the System Event Log for more information. There was nothing in the event log. Windows command line format >format G: Insert new disk for drive G: and press ENTER when ready... The type of the file system is FAT32. Verifying 7740M Cannot format. This volume is write protected. Windows chkdsk: see below for details Kubuntu fsck (through VirtualBox USB passthrough): see below for details Acronis True Image to format, to convert to GPT, to destroy and rebuild MBR, basically anything: failed (could not write to MBR) Details (and a nice story) Background This was a brand new, generic, 8GB flash drive I wanted to create a multiboot flash drive with. It came formatted as FAT32, though oddly a little larger than most 8 GIGAbyte flash drives I've come across. Approximately 127MB was listed as "used" by Windows. I never discovered why. The end usable space was about what I normally expect from a 8GB drive (approx 7.4 GIBIbytes). I had thrown quite a few Linux distros on, along with a copy of Hiren's. They would all boot perfectly. They were put on with YUMI. When I tried to put the Knoppix DVD on, YUMI added an odd video option to its boot comman which caused Knoppix to boot with a black screen on X. ttys 1 through 6 still worked as text only interfaces. A few days later, I took some time to take that odd video option off, making the boot command match the one that comes with Knoppix. On the attempt to boot, Knoppix reported some form of LZMA corruption. Leading up to the current issue I was thinking the Knoppix files may have been corrupted somehow, so I tried reloading it. The drive was nearly full (45MB free), so I deleted a generic ISO that also was not booting. That went fine. I then went through YUMI to 'uninstall' Knoppix, i.e. delete files and remove from the menus. The files went first, then the menus were cleared successfully. However, the free space was stuck at about 700MB, same as it was before removing Knoppix. In the old Knoppix folder, there was a 0 byte file named KNOPPIX that could not be deleted. I tried reinserting the drive to delete this file - without safely removing, if that made a difference (hey, first time for everything). Running the standard Windows chkdsk scan without /r or /f reported errors found. Running with /r just got it stuck. I decided to give fsck a shot, so I loaded up my Kubuntu VM and attached the drive to it with VirtualBox's USB 2.0 passthrough. I umounted it (/dev/sda1) and ran a fsck. There are differences between boot sector and its backup. I chose No action. It told me FATs differ and asked me to select either the first or second FAT. Whichever I selected, I got a notice of Free cluster summary wrong. If I chose Correct, it gave a list of incorrect file names. To try to fix something, at least, I ran it with the -p option. Halfway through fixing the files, the VM froze - I ended its process about ten minutes later. Cause? My next attempt was to use YUMI, again, to rebuild the whole drive. I used YUMI's built in reformat (to FAT32) option and installed a Kubuntu ISO (700MB). The format was successful, however, the extract and copy of Kubuntu (which YUMI uses a 7zip binary for) froze at about 60% done. After waiting for about fifteen minutes (longer than the 3.5GB Knoppix ISO took last time), I pulled the drive out. The drive at this point was already formatted, SYSLINUX already installed, just waiting on the unpacking of an ISO and the modifying of the boot menus. Plugging it back in, it came up as normal - however, any write action would fail. Disk management reported it as read only. On reconnect, it would come up as normal but a write operation would cause it to go read only again. After a few attempts, it started coming up as read only on insertion. Attempts to fix This is when I ran through the attempts listed above, to try and reformat it in case of a faulty format. However the inability to do so even on a bootable disk indicated something more serious is wrong. chkdsk now reports nothing is wrong, and fsck still reports MBR inconsistencies, but now always chooses first FAT automatically after telling me FATs differ. It still does the same Free cluster summary wrong afterwards. I cannot run with -p anymore because it is now marked as read only. It also managed to corrupt my VM's disk somehow on the first attempt (yes, I'm sure I chose sda, which is mapped to a 7.4GB drive - I triple checked). Thank god for snapshots? I'm just about out of ideas. To my inexperienced mind it looks like something in the drive's firmware set it to read only "permanently" somehow - is there any way to reset this? I don't particularly care about keeping data, considering I've reformatted it twice. Also, fixes that keep me in Windows are better; it reduces the risk of me accidentally nuking my main hard drive. Update 1: I pulled apart the drive out of curiosity. As you can see, there are no obvious write protect switches. There is an IC on the other side, ALCOR branded labelled AU6989HL, if that matters. If there appears to be no way to fix this, I'll probably pull out the (glued down) card and put it in a card reader to check if it's the card or the controller that died. Update 2: I've pulled the card off, Windows detects the drive as a card reader now. The contacts on the card don't appear to be used, and there are several rows of holes on the card itself. Putting it into the card reader only detects about 30MB total, RAW. It's probably either the reader incorrectly reporting the card as faulty (as if a real SD card's write protect was switched on) or a bad contact somewhere. If nothing else, I have a spare 8GB Micro SD card now... as soon as I figure out how to format it as 8GB.

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  • Using the ASP.NET Cache to cache data in a Model or Business Object layer, without a dependency on System.Web in the layer - Part One.

    - by Rhames
    ASP.NET applications can make use of the System.Web.Caching.Cache object to cache data and prevent repeated expensive calls to a database or other store. However, ideally an application should make use of caching at the point where data is retrieved from the database, which typically is inside a Business Objects or Model layer. One of the key features of using a UI pattern such as Model-View-Presenter (MVP) or Model-View-Controller (MVC) is that the Model and Presenter (or Controller) layers are developed without any knowledge of the UI layer. Introducing a dependency on System.Web into the Model layer would break this independence of the Model from the View. This article gives a solution to this problem, using dependency injection to inject the caching implementation into the Model layer at runtime. This allows caching to be used within the Model layer, without any knowledge of the actual caching mechanism that will be used. Create a sample application to use the caching solution Create a test SQL Server database This solution uses a SQL Server database with the same Sales data used in my previous post on calculating running totals. The advantage of using this data is that it gives nice slow queries that will exaggerate the effect of using caching! To create the data, first create a new SQL database called CacheSample. Next run the following script to create the Sale table and populate it: USE CacheSample GO   CREATE TABLE Sale(DayCount smallint, Sales money) CREATE CLUSTERED INDEX ndx_DayCount ON Sale(DayCount) go INSERT Sale VALUES (1,120) INSERT Sale VALUES (2,60) INSERT Sale VALUES (3,125) INSERT Sale VALUES (4,40)   DECLARE @DayCount smallint, @Sales money SET @DayCount = 5 SET @Sales = 10   WHILE @DayCount < 5000  BEGIN  INSERT Sale VALUES (@DayCount,@Sales)  SET @DayCount = @DayCount + 1  SET @Sales = @Sales + 15  END Next create a stored procedure to calculate the running total, and return a specified number of rows from the Sale table, using the following script: USE [CacheSample] GO   SET ANSI_NULLS ON GO   SET QUOTED_IDENTIFIER ON GO   -- ============================================= -- Author:        Robin -- Create date: -- Description:   -- ============================================= CREATE PROCEDURE [dbo].[spGetRunningTotals]       -- Add the parameters for the stored procedure here       @HighestDayCount smallint = null AS BEGIN       -- SET NOCOUNT ON added to prevent extra result sets from       -- interfering with SELECT statements.       SET NOCOUNT ON;         IF @HighestDayCount IS NULL             SELECT @HighestDayCount = MAX(DayCount) FROM dbo.Sale                   DECLARE @SaleTbl TABLE (DayCount smallint, Sales money, RunningTotal money)         DECLARE @DayCount smallint,                   @Sales money,                   @RunningTotal money         SET @RunningTotal = 0       SET @DayCount = 0         DECLARE rt_cursor CURSOR       FOR       SELECT DayCount, Sales       FROM Sale       ORDER BY DayCount         OPEN rt_cursor         FETCH NEXT FROM rt_cursor INTO @DayCount,@Sales         WHILE @@FETCH_STATUS = 0 AND @DayCount <= @HighestDayCount        BEGIN        SET @RunningTotal = @RunningTotal + @Sales        INSERT @SaleTbl VALUES (@DayCount,@Sales,@RunningTotal)        FETCH NEXT FROM rt_cursor INTO @DayCount,@Sales        END         CLOSE rt_cursor       DEALLOCATE rt_cursor         SELECT DayCount, Sales, RunningTotal       FROM @SaleTbl   END   GO   Create the Sample ASP.NET application In Visual Studio create a new solution and add a class library project called CacheSample.BusinessObjects and an ASP.NET web application called CacheSample.UI. The CacheSample.BusinessObjects project will contain a single class to represent a Sale data item, with all the code to retrieve the sales from the database included in it for simplicity (normally I would at least have a separate Repository or other object that is responsible for retrieving data, and probably a data access layer as well, but for this sample I want to keep it simple). The C# code for the Sale class is shown below: using System; using System.Collections.Generic; using System.Data; using System.Data.SqlClient;   namespace CacheSample.BusinessObjects {     public class Sale     {         public Int16 DayCount { get; set; }         public decimal Sales { get; set; }         public decimal RunningTotal { get; set; }           public static IEnumerable<Sale> GetSales(int? highestDayCount)         {             List<Sale> sales = new List<Sale>();               SqlParameter highestDayCountParameter = new SqlParameter("@HighestDayCount", SqlDbType.SmallInt);             if (highestDayCount.HasValue)                 highestDayCountParameter.Value = highestDayCount;             else                 highestDayCountParameter.Value = DBNull.Value;               string connectionStr = System.Configuration.ConfigurationManager .ConnectionStrings["CacheSample"].ConnectionString;               using(SqlConnection sqlConn = new SqlConnection(connectionStr))             using (SqlCommand sqlCmd = sqlConn.CreateCommand())             {                 sqlCmd.CommandText = "spGetRunningTotals";                 sqlCmd.CommandType = CommandType.StoredProcedure;                 sqlCmd.Parameters.Add(highestDayCountParameter);                   sqlConn.Open();                   using (SqlDataReader dr = sqlCmd.ExecuteReader())                 {                     while (dr.Read())                     {                         Sale newSale = new Sale();                         newSale.DayCount = dr.GetInt16(0);                         newSale.Sales = dr.GetDecimal(1);                         newSale.RunningTotal = dr.GetDecimal(2);                           sales.Add(newSale);                     }                 }             }               return sales;         }     } }   The static GetSale() method makes a call to the spGetRunningTotals stored procedure and then reads each row from the returned SqlDataReader into an instance of the Sale class, it then returns a List of the Sale objects, as IEnnumerable<Sale>. A reference to System.Configuration needs to be added to the CacheSample.BusinessObjects project so that the connection string can be read from the web.config file. In the CacheSample.UI ASP.NET project, create a single web page called ShowSales.aspx, and make this the default start up page. This page will contain a single button to call the GetSales() method and a label to display the results. The html mark up and the C# code behind are shown below: ShowSales.aspx <%@ Page Language="C#" AutoEventWireup="true" CodeBehind="ShowSales.aspx.cs" Inherits="CacheSample.UI.ShowSales" %>   <!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">   <html xmlns="http://www.w3.org/1999/xhtml"> <head runat="server">     <title>Cache Sample - Show All Sales</title> </head> <body>     <form id="form1" runat="server">     <div>         <asp:Button ID="btnTest1" runat="server" onclick="btnTest1_Click"             Text="Get All Sales" />         &nbsp;&nbsp;&nbsp;         <asp:Label ID="lblResults" runat="server"></asp:Label>         </div>     </form> </body> </html>   ShowSales.aspx.cs using System; using System.Collections.Generic; using System.Linq; using System.Web; using System.Web.UI; using System.Web.UI.WebControls;   using CacheSample.BusinessObjects;   namespace CacheSample.UI {     public partial class ShowSales : System.Web.UI.Page     {         protected void Page_Load(object sender, EventArgs e)         {         }           protected void btnTest1_Click(object sender, EventArgs e)         {             System.Diagnostics.Stopwatch stopWatch = new System.Diagnostics.Stopwatch();             stopWatch.Start();               var sales = Sale.GetSales(null);               var lastSales = sales.Last();               stopWatch.Stop();               lblResults.Text = string.Format( "Count of Sales: {0}, Last DayCount: {1}, Total Sales: {2}. Query took {3} ms", sales.Count(), lastSales.DayCount, lastSales.RunningTotal, stopWatch.ElapsedMilliseconds);         }       } }   Finally we need to add a connection string to the CacheSample SQL Server database, called CacheSample, to the web.config file: <?xmlversion="1.0"?>   <configuration>    <connectionStrings>     <addname="CacheSample"          connectionString="data source=.\SQLEXPRESS;Integrated Security=SSPI;Initial Catalog=CacheSample"          providerName="System.Data.SqlClient" />  </connectionStrings>    <system.web>     <compilationdebug="true"targetFramework="4.0" />  </system.web>   </configuration>   Run the application and click the button a few times to see how long each call to the database takes. On my system, each query takes about 450ms. Next I shall look at a solution to use the ASP.NET caching to cache the data returned by the query, so that subsequent requests to the GetSales() method are much faster. Adding Data Caching Support I am going to create my caching support in a separate project called CacheSample.Caching, so the next step is to add a class library to the solution. We shall be using the application configuration to define the implementation of our caching system, so we need a reference to System.Configuration adding to the project. ICacheProvider<T> Interface The first step in adding caching to our application is to define an interface, called ICacheProvider, in the CacheSample.Caching project, with methods to retrieve any data from the cache or to retrieve the data from the data source if it is not present in the cache. Dependency Injection will then be used to inject an implementation of this interface at runtime, allowing the users of the interface (i.e. the CacheSample.BusinessObjects project) to be completely unaware of how the caching is actually implemented. As data of any type maybe retrieved from the data source, it makes sense to use generics in the interface, with a generic type parameter defining the data type associated with a particular instance of the cache interface implementation. The C# code for the ICacheProvider interface is shown below: using System; using System.Collections.Generic;   namespace CacheSample.Caching {     public interface ICacheProvider     {     }       public interface ICacheProvider<T> : ICacheProvider     {         T Fetch(string key, Func<T> retrieveData, DateTime? absoluteExpiry, TimeSpan? relativeExpiry);           IEnumerable<T> Fetch(string key, Func<IEnumerable<T>> retrieveData, DateTime? absoluteExpiry, TimeSpan? relativeExpiry);     } }   The empty non-generic interface will be used as a type in a Dictionary generic collection later to store instances of the ICacheProvider<T> implementation for reuse, I prefer to use a base interface when doing this, as I think the alternative of using object makes for less clear code. The ICacheProvider<T> interface defines two overloaded Fetch methods, the difference between these is that one will return a single instance of the type T and the other will return an IEnumerable<T>, providing support for easy caching of collections of data items. Both methods will take a key parameter, which will uniquely identify the cached data, a delegate of type Func<T> or Func<IEnumerable<T>> which will provide the code to retrieve the data from the store if it is not present in the cache, and absolute or relative expiry policies to define when a cached item should expire. Note that at present there is no support for cache dependencies, but I shall be showing a method of adding this in part two of this article. CacheProviderFactory Class We need a mechanism of creating instances of our ICacheProvider<T> interface, using Dependency Injection to get the implementation of the interface. To do this we shall create a CacheProviderFactory static class in the CacheSample.Caching project. This factory will provide a generic static method called GetCacheProvider<T>(), which shall return instances of ICacheProvider<T>. We can then call this factory method with the relevant data type (for example the Sale class in the CacheSample.BusinessObject project) to get a instance of ICacheProvider for that type (e.g. call CacheProviderFactory.GetCacheProvider<Sale>() to get the ICacheProvider<Sale> implementation). The C# code for the CacheProviderFactory is shown below: using System; using System.Collections.Generic;   using CacheSample.Caching.Configuration;   namespace CacheSample.Caching {     public static class CacheProviderFactory     {         private static Dictionary<Type, ICacheProvider> cacheProviders = new Dictionary<Type, ICacheProvider>();         private static object syncRoot = new object();           ///<summary>         /// Factory method to create or retrieve an implementation of the  /// ICacheProvider interface for type <typeparamref name="T"/>.         ///</summary>         ///<typeparam name="T">  /// The type that this cache provider instance will work with  ///</typeparam>         ///<returns>An instance of the implementation of ICacheProvider for type  ///<typeparamref name="T"/>, as specified by the application  /// configuration</returns>         public static ICacheProvider<T> GetCacheProvider<T>()         {             ICacheProvider<T> cacheProvider = null;             // Get the Type reference for the type parameter T             Type typeOfT = typeof(T);               // Lock the access to the cacheProviders dictionary             // so multiple threads can work with it             lock (syncRoot)             {                 // First check if an instance of the ICacheProvider implementation  // already exists in the cacheProviders dictionary for the type T                 if (cacheProviders.ContainsKey(typeOfT))                     cacheProvider = (ICacheProvider<T>)cacheProviders[typeOfT];                 else                 {                     // There is not already an instance of the ICacheProvider in       // cacheProviders for the type T                     // so we need to create one                       // Get the Type reference for the application's implementation of       // ICacheProvider from the configuration                     Type cacheProviderType = Type.GetType(CacheProviderConfigurationSection.Current. CacheProviderType);                     if (cacheProviderType != null)                     {                         // Now get a Type reference for the Cache Provider with the                         // type T generic parameter                         Type typeOfCacheProviderTypeForT = cacheProviderType.MakeGenericType(new Type[] { typeOfT });                         if (typeOfCacheProviderTypeForT != null)                         {                             // Create the instance of the Cache Provider and add it to // the cacheProviders dictionary for future use                             cacheProvider = (ICacheProvider<T>)Activator. CreateInstance(typeOfCacheProviderTypeForT);                             cacheProviders.Add(typeOfT, cacheProvider);                         }                     }                 }             }               return cacheProvider;                 }     } }   As this code uses Activator.CreateInstance() to create instances of the ICacheProvider<T> implementation, which is a slow process, the factory class maintains a Dictionary of the previously created instances so that a cache provider needs to be created only once for each type. The type of the implementation of ICacheProvider<T> is read from a custom configuration section in the application configuration file, via the CacheProviderConfigurationSection class, which is described below. CacheProviderConfigurationSection Class The implementation of ICacheProvider<T> will be specified in a custom configuration section in the application’s configuration. To handle this create a folder in the CacheSample.Caching project called Configuration, and add a class called CacheProviderConfigurationSection to this folder. This class will extend the System.Configuration.ConfigurationSection class, and will contain a single string property called CacheProviderType. The C# code for this class is shown below: using System; using System.Configuration;   namespace CacheSample.Caching.Configuration {     internal class CacheProviderConfigurationSection : ConfigurationSection     {         public static CacheProviderConfigurationSection Current         {             get             {                 return (CacheProviderConfigurationSection) ConfigurationManager.GetSection("cacheProvider");             }         }           [ConfigurationProperty("type", IsRequired=true)]         public string CacheProviderType         {             get             {                 return (string)this["type"];             }         }     } }   Adding Data Caching to the Sales Class We now have enough code in place to add caching to the GetSales() method in the CacheSample.BusinessObjects.Sale class, even though we do not yet have an implementation of the ICacheProvider<T> interface. We need to add a reference to the CacheSample.Caching project to CacheSample.BusinessObjects so that we can use the ICacheProvider<T> interface within the GetSales() method. Once the reference is added, we can first create a unique string key based on the method name and the parameter value, so that the same cache key is used for repeated calls to the method with the same parameter values. Then we get an instance of the cache provider for the Sales type, using the CacheProviderFactory, and pass the existing code to retrieve the data from the database as the retrievalMethod delegate in a call to the Cache Provider Fetch() method. The C# code for the modified GetSales() method is shown below: public static IEnumerable<Sale> GetSales(int? highestDayCount) {     string cacheKey = string.Format("CacheSample.BusinessObjects.GetSalesWithCache({0})", highestDayCount);       return CacheSample.Caching.CacheProviderFactory. GetCacheProvider<Sale>().Fetch(cacheKey,         delegate()         {             List<Sale> sales = new List<Sale>();               SqlParameter highestDayCountParameter = new SqlParameter("@HighestDayCount", SqlDbType.SmallInt);             if (highestDayCount.HasValue)                 highestDayCountParameter.Value = highestDayCount;             else                 highestDayCountParameter.Value = DBNull.Value;               string connectionStr = System.Configuration.ConfigurationManager. ConnectionStrings["CacheSample"].ConnectionString;               using (SqlConnection sqlConn = new SqlConnection(connectionStr))             using (SqlCommand sqlCmd = sqlConn.CreateCommand())             {                 sqlCmd.CommandText = "spGetRunningTotals";                 sqlCmd.CommandType = CommandType.StoredProcedure;                 sqlCmd.Parameters.Add(highestDayCountParameter);                   sqlConn.Open();                   using (SqlDataReader dr = sqlCmd.ExecuteReader())                 {                     while (dr.Read())                     {                         Sale newSale = new Sale();                         newSale.DayCount = dr.GetInt16(0);                         newSale.Sales = dr.GetDecimal(1);                         newSale.RunningTotal = dr.GetDecimal(2);                           sales.Add(newSale);                     }                 }             }               return sales;         },         null,         new TimeSpan(0, 10, 0)); }     This example passes the code to retrieve the Sales data from the database to the Cache Provider as an anonymous method, however it could also be written as a lambda. The main advantage of using an anonymous function (method or lambda) is that the code inside the anonymous function can access the parameters passed to the GetSales() method. Finally the absolute expiry is set to null, and the relative expiry set to 10 minutes, to indicate that the cache entry should be removed 10 minutes after the last request for the data. As the ICacheProvider<T> has a Fetch() method that returns IEnumerable<T>, we can simply return the results of the Fetch() method to the caller of the GetSales() method. This should be all that is needed for the GetSales() method to now retrieve data from a cache after the first time the data has be retrieved from the database. Implementing a ASP.NET Cache Provider The final step is to actually implement the ICacheProvider<T> interface, and add the implementation details to the web.config file for the dependency injection. The cache provider implementation needs to have access to System.Web. Therefore it could be placed in the CacheSample.UI project, or in its own project that has a reference to System.Web. Implementing the Cache Provider in a separate project is my favoured approach. Create a new project inside the solution called CacheSample.CacheProvider, and add references to System.Web and CacheSample.Caching to this project. Add a class to the project called AspNetCacheProvider. Make the class a generic class by adding the generic parameter <T> and indicate that the class implements ICacheProvider<T>. The C# code for the AspNetCacheProvider class is shown below: using System; using System.Collections.Generic; using System.Linq; using System.Web; using System.Web.Caching;   using CacheSample.Caching;   namespace CacheSample.CacheProvider {     public class AspNetCacheProvider<T> : ICacheProvider<T>     {         #region ICacheProvider<T> Members           public T Fetch(string key, Func<T> retrieveData, DateTime? absoluteExpiry, TimeSpan? relativeExpiry)         {             return FetchAndCache<T>(key, retrieveData, absoluteExpiry, relativeExpiry);         }           public IEnumerable<T> Fetch(string key, Func<IEnumerable<T>> retrieveData, DateTime? absoluteExpiry, TimeSpan? relativeExpiry)         {             return FetchAndCache<IEnumerable<T>>(key, retrieveData, absoluteExpiry, relativeExpiry);         }           #endregion           #region Helper Methods           private U FetchAndCache<U>(string key, Func<U> retrieveData, DateTime? absoluteExpiry, TimeSpan? relativeExpiry)         {             U value;             if (!TryGetValue<U>(key, out value))             {                 value = retrieveData();                 if (!absoluteExpiry.HasValue)                     absoluteExpiry = Cache.NoAbsoluteExpiration;                   if (!relativeExpiry.HasValue)                     relativeExpiry = Cache.NoSlidingExpiration;                   HttpContext.Current.Cache.Insert(key, value, null, absoluteExpiry.Value, relativeExpiry.Value);             }             return value;         }           private bool TryGetValue<U>(string key, out U value)         {             object cachedValue = HttpContext.Current.Cache.Get(key);             if (cachedValue == null)             {                 value = default(U);                 return false;             }             else             {                 try                 {                     value = (U)cachedValue;                     return true;                 }                 catch                 {                     value = default(U);                     return false;                 }             }         }           #endregion       } }   The two interface Fetch() methods call a private method called FetchAndCache(). This method first checks for a element in the HttpContext.Current.Cache with the specified cache key, and if so tries to cast this to the specified type (either T or IEnumerable<T>). If the cached element is found, the FetchAndCache() method simply returns it. If it is not found in the cache, the method calls the retrievalMethod delegate to get the data from the data source, and then adds this to the HttpContext.Current.Cache. The final step is to add the AspNetCacheProvider class to the relevant custom configuration section in the CacheSample.UI.Web.Config file. To do this there needs to be a <configSections> element added as the first element in <configuration>. This will match a custom section called <cacheProvider> with the CacheProviderConfigurationSection. Then we add a <cacheProvider> element, with a type property set to the fully qualified assembly name of the AspNetCacheProvider class, as shown below: <?xmlversion="1.0"?>   <configuration>  <configSections>     <sectionname="cacheProvider" type="CacheSample.Base.Configuration.CacheProviderConfigurationSection, CacheSample.Base" />  </configSections>    <connectionStrings>     <addname="CacheSample"          connectionString="data source=.\SQLEXPRESS;Integrated Security=SSPI;Initial Catalog=CacheSample"          providerName="System.Data.SqlClient" />  </connectionStrings>    <cacheProvidertype="CacheSample.CacheProvider.AspNetCacheProvider`1, CacheSample.CacheProvider, Version=1.0.0.0, Culture=neutral, PublicKeyToken=null">  </cacheProvider>    <system.web>     <compilationdebug="true"targetFramework="4.0" />  </system.web>   </configuration>   One point to note is that the fully qualified assembly name of the AspNetCacheProvider class includes the notation `1 after the class name, which indicates that it is a generic class with a single generic type parameter. The CacheSample.UI project needs to have references added to CacheSample.Caching and CacheSample.CacheProvider so that the actual application is aware of the relevant cache provider implementation. Conclusion After implementing this solution, you should have a working cache provider mechanism, that will allow the middle and data access layers to implement caching support when retrieving data, without any knowledge of the actually caching implementation. If the UI is not ASP.NET based, if for example it is Winforms or WPF, the implementation of ICacheProvider<T> would be written around whatever technology is available. It could even be a standalone caching system that takes full responsibility for adding and removing items from a global store. The next part of this article will show how this caching mechanism may be extended to provide support for cache dependencies, such as the System.Web.Caching.SqlCacheDependency. Another possible extension would be to cache the cache provider implementations instead of storing them in a static Dictionary in the CacheProviderFactory. This would prevent a build up of seldom used cache providers in the application memory, as they could be removed from the cache if not used often enough, although in reality there are probably unlikely to be vast numbers of cache provider implementation instances, as most applications do not have a massive number of business object or model types.

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  • Partner Blog Series: PwC Perspectives - The Gotchas, The Do's and Don'ts for IDM Implementations

    - by Tanu Sood
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mso-tstyle-border-bottom-themecolor:accent6; font-family:"Arial Narrow","sans-serif"; mso-ascii-font-family:Georgia; mso-ascii-theme-font:major-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:major-fareast; mso-hansi-font-family:Georgia; mso-hansi-theme-font:major-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:major-bidi;} table.MsoTableMediumList1Accent6LastRow {mso-style-name:"Medium List 1 - Accent 6"; mso-table-condition:last-row; mso-style-priority:65; mso-style-unhide:no; mso-tstyle-border-top:1.0pt solid #E0301E; mso-tstyle-border-top-themecolor:accent6; mso-tstyle-border-bottom:1.0pt solid #E0301E; mso-tstyle-border-bottom-themecolor:accent6; color:#968C6D; mso-themecolor:text2; mso-ansi-font-weight:bold; mso-bidi-font-weight:bold;} table.MsoTableMediumList1Accent6FirstCol {mso-style-name:"Medium List 1 - Accent 6"; mso-table-condition:first-column; mso-style-priority:65; mso-style-unhide:no; mso-ansi-font-weight:bold; mso-bidi-font-weight:bold;} table.MsoTableMediumList1Accent6LastCol {mso-style-name:"Medium List 1 - Accent 6"; mso-table-condition:last-column; mso-style-priority:65; mso-style-unhide:no; mso-tstyle-border-top:1.0pt solid #E0301E; mso-tstyle-border-top-themecolor:accent6; mso-tstyle-border-bottom:1.0pt solid #E0301E; mso-tstyle-border-bottom-themecolor:accent6; mso-ansi-font-weight:bold; mso-bidi-font-weight:bold;} table.MsoTableMediumList1Accent6OddColumn {mso-style-name:"Medium List 1 - Accent 6"; mso-table-condition:odd-column; mso-style-priority:65; mso-style-unhide:no; mso-tstyle-shading:#F7CBC7; mso-tstyle-shading-themecolor:accent6; mso-tstyle-shading-themetint:63;} table.MsoTableMediumList1Accent6OddRow {mso-style-name:"Medium List 1 - Accent 6"; mso-table-condition:odd-row; mso-style-priority:65; mso-style-unhide:no; mso-tstyle-shading:#F7CBC7; mso-tstyle-shading-themecolor:accent6; mso-tstyle-shading-themetint:63;} It is generally accepted among business communities that technology by itself is not a silver bullet to all problems, but when it is combined with leading practices, strategy, careful planning and execution, it can create a recipe for success. This post attempts to highlight some of the best practices along with dos & don’ts that our practice has accumulated over the years in the identity & access management space in general, and also in the context of R2, in particular. Best Practices The following section illustrates the leading practices in “How” to plan, implement and sustain a successful OIM deployment, based on our collective experience. Planning is critical, but often overlooked A common approach to planning an IAM program that we identify with our clients is the three step process involving a current state assessment, a future state roadmap and an executable strategy to get there. It is extremely beneficial for clients to assess their current IAM state, perform gap analysis, document the recommended controls to address the gaps, align future state roadmap to business initiatives and get buy in from all stakeholders involved to improve the chances of success. When designing an enterprise-wide solution, the scalability of the technology must accommodate the future growth of the enterprise and the projected identity transactions over several years. Aligning the implementation schedule of OIM to related information technology projects increases the chances of success. As a baseline, it is recommended to match hardware specifications to the sizing guide for R2 published by Oracle. Adherence to this will help ensure that the hardware used to support OIM will not become a bottleneck as the adoption of new services increases. If your Organization has numerous connected applications that rely on reconciliation to synchronize the access data into OIM, consider hosting dedicated instances to handle reconciliation. Finally, ensure the use of clustered environment for development and have at least three total environments to help facilitate a controlled migration to production. If your Organization is planning to implement role based access control, we recommend performing a role mining exercise and consolidate your enterprise roles to keep them manageable. In addition, many Organizations have multiple approval flows to control access to critical roles, applications and entitlements. If your Organization falls into this category, we highly recommend that you limit the number of approval workflows to a small set. Most Organizations have operations managed across data centers with backend database synchronization, if your Organization falls into this category, ensure that the overall latency between the datacenters when replicating the databases is less than ten milliseconds to ensure that there are no front office performance impacts. Ingredients for a successful implementation During the development phase of your project, there are a number of guidelines that can be followed to help increase the chances for success. Most implementations cannot be completed without the use of customizations. If your implementation requires this, it’s a good practice to perform code reviews to help ensure quality and reduce code bottlenecks related to performance. We have observed at our clients that the development process works best when team members adhere to coding leading practices. Plan for time to correct coding defects and ensure developers are empowered to report their own bugs for maximum transparency. Many organizations struggle with defining a consistent approach to managing logs. This is particularly important due to the amount of information that can be logged by OIM. We recommend Oracle Diagnostics Logging (ODL) as an alternative to be used for logging. ODL allows log files to be formatted in XML for easy parsing and does not require a server restart when the log levels are changed during troubleshooting. Testing is a vital part of any large project, and an OIM R2 implementation is no exception. We suggest that at least one lower environment should use production-like data and connectors. Configurations should match as closely as possible. For example, use secure channels between OIM and target platforms in pre-production environments to test the configurations, the migration processes of certificates, and the additional overhead that encryption could impose. Finally, we ask our clients to perform database backups regularly and before any major change event, such as a patch or migration between environments. In the lowest environments, we recommend to have at least a weekly backup in order to prevent significant loss of time and effort. Similarly, if your organization is using virtual machines for one or more of the environments, it is recommended to take frequent snapshots so that rollbacks can occur in the event of improper configuration. Operate & sustain the solution to derive maximum benefits When migrating OIM R2 to production, it is important to perform certain activities that will help achieve a smoother transition. At our clients, we have seen that splitting the OIM tables into their own tablespaces by categories (physical tables, indexes, etc.) can help manage database growth effectively. If we notice that a client hasn’t enabled the Oracle-recommended indexing in the applicable database, we strongly suggest doing so to improve performance. Additionally, we work with our clients to make sure that the audit level is set to fit the organization’s auditing needs and sometimes even allocate UPA tables and indexes into their own table-space for better maintenance. Finally, many of our clients have set up schedules for reconciliation tables to be archived at regular intervals in order to keep the size of the database(s) reasonable and result in optimal database performance. For our clients that anticipate availability issues with target applications, we strongly encourage the use of the offline provisioning capabilities of OIM R2. This reduces the provisioning process for a given target application dependency on target availability and help avoid broken workflows. To account for this and other abnormalities, we also advocate that OIM’s monitoring controls be configured to alert administrators on any abnormal situations. Within OIM R2, we have begun advising our clients to utilize the ‘profile’ feature to encapsulate multiple commonly requested accounts, roles, and/or entitlements into a single item. By setting up a number of profiles that can be searched for and used, users will spend less time performing the same exact steps for common tasks. We advise our clients to follow the Oracle recommended guides for database and application server tuning which provides a good baseline configuration. It offers guidance on database connection pools, connection timeouts, user interface threads and proper handling of adapters/plug-ins. All of these can be important configurations that will allow faster provisioning and web page response times. Many of our clients have begun to recognize the value of data mining and a remediation process during the initial phases of an implementation (to help ensure high quality data gets loaded) and beyond (to support ongoing maintenance and business-as-usual processes). A successful program always begins with identifying the data elements and assigning a classification level based on criticality, risk, and availability. It should finish by following through with a remediation process. Dos & Don’ts Here are the most common dos and don'ts that we socialize with our clients, derived from our experience implementing the solution. Dos Don’ts Scope the project into phases with realistic goals. Look for quick wins to show success and value to the stake holders. Avoid “boiling the ocean” and trying to integrate all enterprise applications in the first phase. Establish an enterprise ID (universal unique ID across the enterprise) earlier in the program. Avoid major UI customizations that require code changes. Have a plan in place to patch during the project, which helps alleviate any major issues or roadblocks (product and database). Avoid publishing all the target entitlements if you don't anticipate their usage during access request. Assess your current state and prepare a roadmap to address your operations, tactical and strategic goals, align it with your business priorities. Avoid integrating non-production environments with your production target systems. Defer complex integrations to the later phases and take advantage of lessons learned from previous phases Avoid creating multiple accounts for the same user on the same system, if there is an opportunity to do so. Have an identity and access data quality initiative built into your plan to identify and remediate data related issues early on. Avoid creating complex approval workflows that would negative impact productivity and SLAs. Identify the owner of the identity systems with fair IdM knowledge and empower them with authority to make product related decisions. This will help ensure overcome any design hurdles. Avoid creating complex designs that are not sustainable long term and would need major overhaul during upgrades. Shadow your internal or external consulting resources during the implementation to build the necessary product skills needed to operate and sustain the solution. Avoid treating IAM as a point solution and have appropriate level of communication and training plan for the IT and business users alike. Conclusion In our experience, Identity programs will struggle with scope, proper resourcing, and more. We suggest that companies consider the suggestions discussed in this post and leverage them to help enable their identity and access program. This concludes PwC blog series on R2 for the month and we sincerely hope that the information we have shared thus far has been beneficial. For more information or if you have questions, you can reach out to Rex Thexton, Senior Managing Director, PwC and or Dharma Padala, Director, PwC. We look forward to hearing from you. Normal 0 false false false EN-US X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin-top:0in; mso-para-margin-right:0in; mso-para-margin-bottom:12.0pt; mso-para-margin-left:0in; line-height:12.0pt; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Arial","sans-serif"; mso-ascii-font-family:Arial; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Arial; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;} Meet the Writers: Dharma Padala is a Director in the Advisory Security practice within PwC.  He has been implementing medium to large scale Identity Management solutions across multiple industries including utility, health care, entertainment, retail and financial sectors.   Dharma has 14 years of experience in delivering IT solutions out of which he has been implementing Identity Management solutions for the past 8 years. Praveen Krishna is a Manager in the Advisory Security practice within PwC.  Over the last decade Praveen has helped clients plan, architect and implement Oracle identity solutions across diverse industries.  His experience includes delivering security across diverse topics like network, infrastructure, application and data where he brings a holistic point of view to problem solving. Scott MacDonald is a Director in the Advisory Security practice within PwC.  He has consulted for several clients across multiple industries including financial services, health care, automotive and retail.   Scott has 10 years of experience in delivering Identity Management solutions. John Misczak is a member of the Advisory Security practice within PwC.  He has experience implementing multiple Identity and Access Management solutions, specializing in Oracle Identity Manager and Business Process Engineering Language (BPEL).

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  • Application throws NotSerializableException when run on an jboss cluster

    - by Kalpana
    Environment: JBoss 5.1.0, JBoss Seam 2.2.0 While trying to get my application running in a clustered environment after login I am getting the following exception. Post login we try to store the currentUser in jboss seam session context. java.io.NotSerializableException: org.jboss.seam.util.AnnotatedBeanProperty How to resolve this? java.io.NotSerializableException: org.jboss.seam.util.AnnotatedBeanProperty at java.io.ObjectOutputStream.writeObject0(ObjectOutputStream.java:1156) at java.io.ObjectOutputStream.defaultWriteFields(ObjectOutputStream.java :1509) at java.io.ObjectOutputStream.writeSerialData(ObjectOutputStream.java:14 74) at java.io.ObjectOutputStream.writeOrdinaryObject(ObjectOutputStream.jav a:1392) at java.io.ObjectOutputStream.writeObject0(ObjectOutputStream.java:1150) at java.io.ObjectOutputStream.defaultWriteFields(ObjectOutputStream.java :1509) at java.io.ObjectOutputStream.writeSerialData(ObjectOutputStream.java:14 74) at java.io.ObjectOutputStream.writeOrdinaryObject(ObjectOutputStream.jav a:1392) at java.io.ObjectOutputStream.writeObject0(ObjectOutputStream.java:1150) at java.io.ObjectOutputStream.writeObject(ObjectOutputStream.java:326) at java.util.ArrayList.writeObject(ArrayList.java:570) at sun.reflect.GeneratedMethodAccessor339.invoke(Unknown Source) at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAcces sorImpl.java:25) at java.lang.reflect.Method.invoke(Method.java:597) at java.io.ObjectStreamClass.invokeWriteObject(ObjectStreamClass.java:94 5) at java.io.ObjectOutputStream.writeSerialData(ObjectOutputStream.java:14 61) at java.io.ObjectOutputStream.writeOrdinaryObject(ObjectOutputStream.jav a:1392) at java.io.ObjectOutputStream.writeObject0(ObjectOutputStream.java:1150) at java.io.ObjectOutputStream.defaultWriteFields(ObjectOutputStream.java :1509) at java.io.ObjectOutputStream.writeSerialData(ObjectOutputStream.java:14 74) at java.io.ObjectOutputStream.writeOrdinaryObject(ObjectOutputStream.jav a:1392) at java.io.ObjectOutputStream.writeObject0(ObjectOutputStream.java:1150) at java.io.ObjectOutputStream.writeObject(ObjectOutputStream.java:326) at java.util.HashMap.writeObject(HashMap.java:1001) at sun.reflect.GeneratedMethodAccessor338.invoke(Unknown Source) at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAcces sorImpl.java:25) at java.lang.reflect.Method.invoke(Method.java:597) at java.io.ObjectStreamClass.invokeWriteObject(ObjectStreamClass.java:94 5) at java.io.ObjectOutputStream.writeSerialData(ObjectOutputStream.java:14 61) at java.io.ObjectOutputStream.writeOrdinaryObject(ObjectOutputStream.jav a:1392) at java.io.ObjectOutputStream.writeObject0(ObjectOutputStream.java:1150) at java.io.ObjectOutputStream.writeObject(ObjectOutputStream.java:326) at org.jboss.ha.framework.server.SimpleCachableMarshalledValue.serialize (SimpleCachableMarshalledValue.java:271) at org.jboss.ha.framework.server.SimpleCachableMarshalledValue.writeExte rnal(SimpleCachableMarshalledValue.java:252) at java.io.ObjectOutputStream.writeExternalData(ObjectOutputStream.java: 1421) at java.io.ObjectOutputStream.writeOrdinaryObject(ObjectOutputStream.jav a:1390) at java.io.ObjectOutputStream.writeObject0(ObjectOutputStream.java:1150) at java.io.ObjectOutputStream.writeObject(ObjectOutputStream.java:326) at org.jboss.cache.marshall.CacheMarshaller200.marshallObject(CacheMarsh aller200.java:460) at org.jboss.cache.marshall.CacheMarshaller300.marshallObject(CacheMarsh aller300.java:47) at org.jboss.cache.marshall.CacheMarshaller200.marshallMap(CacheMarshall er200.java:569) at org.jboss.cache.marshall.CacheMarshaller200.marshallObject(CacheMarsh aller200.java:370) at org.jboss.cache.marshall.CacheMarshaller300.marshallObject(CacheMarsh aller300.java:47) at org.jboss.cache.marshall.CacheMarshaller200.marshallCommand(CacheMars haller200.java:519) at org.jboss.cache.marshall.CacheMarshaller200.marshallObject(CacheMarsh aller200.java:314) at org.jboss.cache.marshall.CacheMarshaller300.marshallObject(CacheMarsh aller300.java:47) at org.jboss.cache.marshall.CacheMarshaller200.marshallCommand(CacheMars haller200.java:519) at org.jboss.cache.marshall.CacheMarshaller200.marshallObject(CacheMarsh aller200.java:314) at org.jboss.cache.marshall.CacheMarshaller300.marshallObject(CacheMarsh aller300.java:47) at org.jboss.cache.marshall.CacheMarshaller200.objectToObjectStream(Cach eMarshaller200.java:191) at org.jboss.cache.marshall.CacheMarshaller200.objectToObjectStream(Cach eMarshaller200.java:136) at org.jboss.cache.marshall.VersionAwareMarshaller.objectToBuffer(Versio nAwareMarshaller.java:182) at org.jboss.cache.marshall.VersionAwareMarshaller.objectToBuffer(Versio nAwareMarshaller.java:52) at org.jboss.cache.marshall.CommandAwareRpcDispatcher$ReplicationTask.ca ll(CommandAwareRpcDispatcher.java:369) at org.jboss.cache.marshall.CommandAwareRpcDispatcher$ReplicationTask.ca ll(CommandAwareRpcDispatcher.java:341) at org.jboss.cache.util.concurrent.WithinThreadExecutor.submit(WithinThr eadExecutor.java:82) at org.jboss.cache.marshall.CommandAwareRpcDispatcher.invokeRemoteComman ds(CommandAwareRpcDispatcher.java:206) at org.jboss.cache.RPCManagerImpl.callRemoteMethods(RPCManagerImpl.java: 748) at org.jboss.cache.RPCManagerImpl.callRemoteMethods(RPCManagerImpl.java: 716) at org.jboss.cache.RPCManagerImpl.callRemoteMethods(RPCManagerImpl.java: 721) at org.jboss.cache.interceptors.BaseRpcInterceptor.replicateCall(BaseRpc Interceptor.java:161) at org.jboss.cache.interceptors.BaseRpcInterceptor.replicateCall(BaseRpc Interceptor.java:135) at org.jboss.cache.interceptors.BaseRpcInterceptor.replicateCall(BaseRpc Interceptor.java:107) at org.jboss.cache.interceptors.ReplicationInterceptor.handleCrudMethod( ReplicationInterceptor.java:160) at org.jboss.cache.interceptors.ReplicationInterceptor.visitPutDataMapCo mmand(ReplicationInterceptor.java:113) at org.jboss.cache.commands.write.PutDataMapCommand.acceptVisitor(PutDat aMapCommand.java:104) at org.jboss.cache.interceptors.base.CommandInterceptor.invokeNextInterc eptor(CommandInterceptor.java:116) at org.jboss.cache.interceptors.base.CommandInterceptor.handleDefault(Co mmandInterceptor.java:131) at org.jboss.cache.commands.AbstractVisitor.visitPutDataMapCommand(Abstr actVisitor.java:60) at org.jboss.cache.commands.write.PutDataMapCommand.acceptVisitor(PutDat aMapCommand.java:104) at org.jboss.cache.interceptors.base.CommandInterceptor.invokeNextInterc eptor(CommandInterceptor.java:116) at org.jboss.cache.interceptors.TxInterceptor.attachGtxAndPassUpChain(Tx Interceptor.java:301) at org.jboss.cache.interceptors.TxInterceptor.handleDefault(TxIntercepto r.java:283) at org.jboss.cache.commands.AbstractVisitor.visitPutDataMapCommand(Abstr actVisitor.java:60) at org.jboss.cache.commands.write.PutDataMapCommand.acceptVisitor(PutDat aMapCommand.java:104) at org.jboss.cache.interceptors.base.CommandInterceptor.invokeNextInterc eptor(CommandInterceptor.java:116) at org.jboss.cache.interceptors.CacheMgmtInterceptor.visitPutDataMapComm and(CacheMgmtInterceptor.java:97) at org.jboss.cache.commands.write.PutDataMapCommand.acceptVisitor(PutDat aMapCommand.java:104) at org.jboss.cache.interceptors.base.CommandInterceptor.invokeNextInterc eptor(CommandInterceptor.java:116) at org.jboss.cache.interceptors.InvocationContextInterceptor.handleAll(I nvocationContextInterceptor.java:178) at org.jboss.cache.interceptors.InvocationContextInterceptor.visitPutDat aMapCommand(InvocationContextInterceptor.java:64) at org.jboss.cache.commands.write.PutDataMapCommand.acceptVisitor(PutDat aMapCommand.java:104) at org.jboss.cache.interceptors.InterceptorChain.invoke(InterceptorChain .java:287) at org.jboss.cache.invocation.CacheInvocationDelegate.invokePut(CacheInv ocationDelegate.java:705) at org.jboss.cache.invocation.CacheInvocationDelegate.put(CacheInvocatio nDelegate.java:519) at org.jboss.ha.cachemanager.CacheManagerManagedCache.put(CacheManagerMa nagedCache.java:277) at org.jboss.web.tomcat.service.session.distributedcache.impl.jbc.JBossC acheWrapper.put(JBossCacheWrapper.java:148) at org.jboss.web.tomcat.service.session.distributedcache.impl.jbc.Abstra ctJBossCacheService.storeSessionData(AbstractJBossCacheService.java:405) at org.jboss.web.tomcat.service.session.ClusteredSession.processSessionR eplication(ClusteredSession.java:1166) at org.jboss.web.tomcat.service.session.JBossCacheManager.processSession Repl(JBossCacheManager.java:1937) at org.jboss.web.tomcat.service.session.JBossCacheManager.storeSession(J BossCacheManager.java:309) at org.jboss.web.tomcat.service.session.InstantSnapshotManager.snapshot( InstantSnapshotManager.java:51) at org.jboss.web.tomcat.service.session.ClusteredSessionValve.handleRequ est(ClusteredSessionValve.java:147) at org.jboss.web.tomcat.service.session.ClusteredSessionValve.invoke(Clu steredSessionValve.java:94) at org.jboss.web.tomcat.service.session.LockingValve.invoke(LockingValve .java:62) at org.apache.catalina.authenticator.AuthenticatorBase.invoke(Authentica torBase.java:433) at org.jboss.web.tomcat.security.JaccContextValve.invoke(JaccContextValv e.java:92) at org.jboss.web.tomcat.security.SecurityContextEstablishmentValve.proce ss(SecurityContextEstablishmentValve.java:126) at org.jboss.web.tomcat.security.SecurityContextEstablishmentValve.invok e(SecurityContextEstablishmentValve.java:70) at org.apache.catalina.core.StandardHostValve.invoke(StandardHostValve.j ava:127) at org.apache.catalina.valves.ErrorReportValve.invoke(ErrorReportValve.j ava:102) at org.jboss.web.tomcat.service.jca.CachedConnectionValve.invoke(CachedC onnectionValve.java:158) at org.apache.catalina.core.StandardEngineValve.invoke(StandardEngineVal ve.java:109) at org.apache.catalina.connector.CoyoteAdapter.service(CoyoteAdapter.jav a:330) at org.apache.coyote.http11.Http11Processor.process(Http11Processor.java :829) at org.apache.coyote.http11.Http11Protocol$Http11ConnectionHandler.proce ss(Http11Protocol.java:598) at org.apache.tomcat.util.net.JIoEndpoint$Worker.run(JIoEndpoint.java:44 7) at java.lang.Thread.run(Thread.java:619) 16:38:35,789 ERROR [CommandAwareRpcDispatcher] java.io.NotSerializableException: org.jboss.seam.util.AnnotatedBeanProperty 16:38:35,789 WARN [/a12] Failed to replicate session YwBL69cG-zdm0m5CvzNj3Q__ java.lang.RuntimeException: Failure to marshal argument(s) at org.jboss.cache.marshall.CommandAwareRpcDispatcher$ReplicationTask.ca ll(CommandAwareRpcDispatcher.java:374) at org.jboss.cache.marshall.CommandAwareRpcDispatcher$ReplicationTask.ca ll(CommandAwareRpcDispatcher.java:341) at org.jboss.cache.util.concurrent.WithinThreadExecutor.submit(WithinThr eadExecutor.java:82) at org.jboss.cache.marshall.CommandAwareRpcDispatcher.invokeRemoteComman ds(CommandAwareRpcDispatcher.java:206) at org.jboss.cache.RPCManagerImpl.callRemoteMethods(RPCManagerImpl.java: 748) at org.jboss.cache.RPCManagerImpl.callRemoteMethods(RPCManagerImpl.java: 716) at org.jboss.cache.RPCManagerImpl.callRemoteMethods(RPCManagerImpl.java: 721) at org.jboss.cache.interceptors.BaseRpcInterceptor.replicateCall(BaseRpc Interceptor.java:161) at org.jboss.cache.interceptors.BaseRpcInterceptor.replicateCall(BaseRpc Interceptor.java:135) at org.jboss.cache.interceptors.BaseRpcInterceptor.replicateCall(BaseRpc Interceptor.java:107) at org.jboss.cache.interceptors.ReplicationInterceptor.handleCrudMethod( ReplicationInterceptor.java:160) at org.jboss.cache.interceptors.ReplicationInterceptor.visitPutDataMapCo mmand(ReplicationInterceptor.java:113) at org.jboss.cache.commands.write.PutDataMapCommand.acceptVisitor(PutDat aMapCommand.java:104) at org.jboss.cache.interceptors.base.CommandInterceptor.invokeNextInterc eptor(CommandInterceptor.java:116) at org.jboss.cache.interceptors.base.CommandInterceptor.handleDefault(Co mmandInterceptor.java:131) at org.jboss.cache.commands.AbstractVisitor.visitPutDataMapCommand(Abstr actVisitor.java:60) at org.jboss.cache.commands.write.PutDataMapCommand.acceptVisitor(PutDat aMapCommand.java:104) at org.jboss.cache.interceptors.base.CommandInterceptor.invokeNextInterc eptor(CommandInterceptor.java:116) at org.jboss.cache.interceptors.TxInterceptor.attachGtxAndPassUpChain(Tx Interceptor.java:301) at org.jboss.cache.interceptors.TxInterceptor.handleDefault(TxIntercepto r.java:283) at org.jboss.cache.commands.AbstractVisitor.visitPutDataMapCommand(Abstr actVisitor.java:60) at org.jboss.cache.commands.write.PutDataMapCommand.acceptVisitor(PutDat aMapCommand.java:104) at org.jboss.cache.interceptors.base.CommandInterceptor.invokeNextInterc eptor(CommandInterceptor.java:116) at org.jboss.cache.interceptors.CacheMgmtInterceptor.visitPutDataMapComm and(CacheMgmtInterceptor.java:97) at org.jboss.cache.commands.write.PutDataMapCommand.acceptVisitor(PutDat aMapCommand.java:104) at org.jboss.cache.interceptors.base.CommandInterceptor.invokeNextInterc eptor(CommandInterceptor.java:116) at org.jboss.cache.interceptors.InvocationContextInterceptor.handleAll(I nvocationContextInterceptor.java:178) at org.jboss.cache.interceptors.InvocationContextInterceptor.visitPutDat aMapCommand(InvocationContextInterceptor.java:64) at org.jboss.cache.commands.write.PutDataMapCommand.acceptVisitor(PutDat aMapCommand.java:104) at org.jboss.cache.interceptors.InterceptorChain.invoke(InterceptorChain .java:287) at org.jboss.cache.invocation.CacheInvocationDelegate.invokePut(CacheInv ocationDelegate.java:705) at org.jboss.cache.invocation.CacheInvocationDelegate.put(CacheInvocatio nDelegate.java:519) at org.jboss.ha.cachemanager.CacheManagerManagedCache.put(CacheManagerMa nagedCache.java:277) at org.jboss.web.tomcat.service.session.distributedcache.impl.jbc.JBossC acheWrapper.put(JBossCacheWrapper.java:148) at org.jboss.web.tomcat.service.session.distributedcache.impl.jbc.Abstra ctJBossCacheService.storeSessionData(AbstractJBossCacheService.java:405) at org.jboss.web.tomcat.service.session.ClusteredSession.processSessionR eplication(ClusteredSession.java:1166) at org.jboss.web.tomcat.service.session.JBossCacheManager.processSession Repl(JBossCacheManager.java:1937) at org.jboss.web.tomcat.service.session.JBossCacheManager.storeSession(J BossCacheManager.java:309) at org.jboss.web.tomcat.service.session.InstantSnapshotManager.snapshot( InstantSnapshotManager.java:51) at org.jboss.web.tomcat.service.session.ClusteredSessionValve.handleRequ est(ClusteredSessionValve.java:147) at org.jboss.web.tomcat.service.session.ClusteredSessionValve.invoke(Clu steredSessionValve.java:94) at org.jboss.web.tomcat.service.session.LockingValve.invoke(LockingValve .java:62) at org.apache.catalina.authenticator.AuthenticatorBase.invoke(Authentica torBase.java:433) at org.jboss.web.tomcat.security.JaccContextValve.invoke(JaccContextValv e.java:92) at org.jboss.web.tomcat.security.SecurityContextEstablishmentValve.proce ss(SecurityContextEstablishmentValve.java:126) at org.jboss.web.tomcat.security.SecurityContextEstablishmentValve.invok e(SecurityContextEstablishmentValve.java:70) at org.apache.catalina.core.StandardHostValve.invoke(StandardHostValve.j ava:127) at org.apache.catalina.valves.ErrorReportValve.invoke(ErrorReportValve.j ava:102) at org.jboss.web.tomcat.service.jca.CachedConnectionValve.invoke(CachedC onnectionValve.java:158) at org.apache.catalina.core.StandardEngineValve.invoke(StandardEngineVal ve.java:109) at org.apache.catalina.connector.CoyoteAdapter.service(CoyoteAdapter.jav a:330) at org.apache.coyote.http11.Http11Processor.process(Http11Processor.java :829) at org.apache.coyote.http11.Http11Protocol$Http11ConnectionHandler.proce ss(Http11Protocol.java:598) at org.apache.tomcat.util.net.JIoEndpoint$Worker.run(JIoEndpoint.java:44 7) at java.lang.Thread.run(Thread.java:619)

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  • Deadlock in SQL Server 2005! Two real-time bulk upserts are fighting. WHY?

    - by skimania
    Here's the scenario: I've got a table called MarketDataCurrent (MDC) that has live updating stock prices. I've got one process called 'LiveFeed' which reads prices streaming from the wire, queues up inserts, and uses a 'bulk upload to temp table then insert/update to MDC table.' (BulkUpsert) I've got another process which then reads this data, computes other data, and then saves the results back into the same table, using a similar BulkUpsert stored proc. Thirdly, there are a multitude of users running a C# Gui polling the MDC table and reading updates from it. Now, during the day when the data is changing rapidly, things run pretty smoothly, but then, after market hours, we've recently started seeing an increasing number of Deadlock exceptions coming out of the database, nowadays we see 10-20 a day. The imporant thing to note here is that these happen when the values are NOT changing. Here's all the relevant info: Table Def: CREATE TABLE [dbo].[MarketDataCurrent]( [MDID] [int] NOT NULL, [LastUpdate] [datetime] NOT NULL, [Value] [float] NOT NULL, [Source] [varchar](20) NULL, CONSTRAINT [PK_MarketDataCurrent] PRIMARY KEY CLUSTERED ( [MDID] ASC )WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, IGNORE_DUP_KEY = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON) ON [PRIMARY] ) ON [PRIMARY] - I've got a Sql Profiler Trace Running, catching the deadlocks, and here's what all the graphs look like. Process 258 is called the following 'BulkUpsert' stored proc, repeatedly, while 73 is calling the next one: ALTER proc [dbo].[MarketDataCurrent_BulkUpload] @updateTime datetime, @source varchar(10) as begin transaction update c with (rowlock) set LastUpdate = getdate(), Value = t.Value, Source = @source from MarketDataCurrent c INNER JOIN #MDTUP t ON c.MDID = t.mdid where c.lastUpdate < @updateTime and c.mdid not in (select mdid from MarketData where LiveFeedTicker is not null and PriceSource like 'LiveFeed.%') and c.value <> t.value insert into MarketDataCurrent with (rowlock) select MDID, getdate(), Value, @source from #MDTUP where mdid not in (select mdid from MarketDataCurrent with (nolock)) and mdid not in (select mdid from MarketData where LiveFeedTicker is not null and PriceSource like 'LiveFeed.%') commit And the other one: ALTER PROCEDURE [dbo].[MarketDataCurrent_LiveFeedUpload] AS begin transaction -- Update existing mdid UPDATE c WITH (ROWLOCK) SET LastUpdate = t.LastUpdate, Value = t.Value, Source = t.Source FROM MarketDataCurrent c INNER JOIN #TEMPTABLE2 t ON c.MDID = t.mdid; -- Insert new MDID INSERT INTO MarketDataCurrent with (ROWLOCK) SELECT * FROM #TEMPTABLE2 WHERE MDID NOT IN (SELECT MDID FROM MarketDataCurrent with (NOLOCK)) -- Clean up the temp table DELETE #TEMPTABLE2 commit To clarify, those Temp Tables are being created by the C# code on the same connection and are populated using the C# SqlBulkCopy class. To me it looks like it's deadlocking on the PK of the table, so I tried removing that PK and switching to a Unique Constraint instead but that increased the number of deadlocks 10-fold. I'm totally lost as to what to do about this situation and am open to just about any suggestion. HELP!! In response to the request for the XDL, here it is: <deadlock-list> <deadlock victim="processc19978"> <process-list> <process id="processaf0b68" taskpriority="0" logused="0" waitresource="KEY: 6:72057594090487808 (d900ed5a6cc6)" waittime="718" ownerId="1102128174" transactionname="user_transaction" lasttranstarted="2010-06-11T16:30:44.750" XDES="0xffffffff817f9a40" lockMode="U" schedulerid="3" kpid="8228" status="suspended" spid="73" sbid="0" ecid="0" priority="0" transcount="2" lastbatchstarted="2010-06-11T16:30:44.750" lastbatchcompleted="2010-06-11T16:30:44.750" clientapp=".Net SqlClient Data Provider" hostname="RISKAPPS_VM" hostpid="3836" loginname="RiskOpt" isolationlevel="read committed (2)" xactid="1102128174" currentdb="6" lockTimeout="4294967295" clientoption1="671088672" clientoption2="128056"> <executionStack> <frame procname="MKP_RISKDB.dbo.MarketDataCurrent_BulkUpload" line="28" stmtstart="1062" stmtend="1720" sqlhandle="0x03000600a28e5e4ef4fd8e00849d00000100000000000000"> UPDATE c WITH (ROWLOCK) SET LastUpdate = getdate(), Value = t.Value, Source = @source FROM MarketDataCurrent c INNER JOIN #MDTUP t ON c.MDID = t.mdid WHERE c.lastUpdate &lt; @updateTime and c.mdid not in (select mdid from MarketData where BloombergTicker is not null and PriceSource like &apos;Blbg.%&apos;) and c.value &lt;&gt; t.value </frame> <frame procname="adhoc" line="1" stmtstart="88" sqlhandle="0x01000600c1653d0598706ca7000000000000000000000000"> exec MarketDataCurrent_BulkUpload @clearBefore, @source </frame> <frame procname="unknown" line="1" sqlhandle="0x000000000000000000000000000000000000000000000000"> unknown </frame> </executionStack> <inputbuf> (@clearBefore datetime,@source nvarchar(10))exec MarketDataCurrent_BulkUpload @clearBefore, @source </inputbuf> </process> <process id="processc19978" taskpriority="0" logused="0" waitresource="KEY: 6:72057594090487808 (74008e31572b)" waittime="718" ownerId="1102128228" transactionname="user_transaction" lasttranstarted="2010-06-11T16:30:44.780" XDES="0x380be9d8" lockMode="U" schedulerid="5" kpid="8464" status="suspended" spid="248" sbid="0" ecid="0" priority="0" transcount="2" lastbatchstarted="2010-06-11T16:30:44.780" lastbatchcompleted="2010-06-11T16:30:44.780" clientapp=".Net SqlClient Data Provider" hostname="RISKBBG_VM" hostpid="4480" loginname="RiskOpt" isolationlevel="read committed (2)" xactid="1102128228" currentdb="6" lockTimeout="4294967295" clientoption1="671088672" clientoption2="128056"> <executionStack> <frame procname="MKP_RISKDB.dbo.MarketDataCurrentBlbgRtUpload" line="14" stmtstart="840" stmtend="1220" sqlhandle="0x03000600005f9d24c8878f00849d00000100000000000000"> UPDATE c WITH (ROWLOCK) SET LastUpdate = t.LastUpdate, Value = t.Value, Source = t.Source FROM MarketDataCurrent c INNER JOIN #TEMPTABLE2 t ON c.MDID = t.mdid; -- Insert new MDID </frame> <frame procname="adhoc" line="1" sqlhandle="0x010006004a58132228bf8d73000000000000000000000000"> MarketDataCurrentBlbgRtUpload </frame> </executionStack> <inputbuf> MarketDataCurrentBlbgRtUpload </inputbuf> </process> </process-list> <resource-list> <keylock hobtid="72057594090487808" dbid="6" objectname="MKP_RISKDB.dbo.MarketDataCurrent" indexname="PK_MarketDataCurrent" id="lock5ba77b00" mode="U" associatedObjectId="72057594090487808"> <owner-list> <owner id="processc19978" mode="U"/> </owner-list> <waiter-list> <waiter id="processaf0b68" mode="U" requestType="wait"/> </waiter-list> </keylock> <keylock hobtid="72057594090487808" dbid="6" objectname="MKP_RISKDB.dbo.MarketDataCurrent" indexname="PK_MarketDataCurrent" id="lock65dca340" mode="U" associatedObjectId="72057594090487808"> <owner-list> <owner id="processaf0b68" mode="U"/> </owner-list> <waiter-list> <waiter id="processc19978" mode="U" requestType="wait"/> </waiter-list> </keylock> </resource-list> </deadlock> </deadlock-list>

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