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  • SQL Server 2008. Allow Remote Connections?

    - by George
    I have SQL Server 2000 and 2008 installed on a Windows XP Pro box. I can connect to both db instances locally. From another box, a Windows 7 box, I can connect to the SQL 2000 instance on the first box but I cannot connect to the 2008 instance using the same SQL Server authentication credentials that worked locally. Allow Remote Connections is set to TRUE for both the 2000 and 2008 database instances. What else can I look for to be able to connect to the remote 2008 instance from the Windows 7 box? I am trying to connect using Mgt Studio 2008.

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  • Windows Backup failed as another backup or recovery is in progress.

    - by remunda
    Hi, i have set up backup schedule on our server. SQL Server 2008 to 01:00am on windows server 2008 R2 to 4:00am. Sql backup runs well, but system backup ends sometimes with error. The error is : http://technet.microsoft.com/en-us/library/dd364768%28WS.10%29.aspx I mean, that is caused by SQL Server, because it unexpectedly runs backup. this is from sql server log (it runs for every database): Date 4.2.2010 4:00:21 Log SQL Server (Current - 29.1.2010 23:25:00) Source spid72 Message I/O is frozen on database master. No user action is required. However, if I/O is not resumed promptly, you could cancel the backup. and Date 4.2.2010 4:00:24 Log SQL Server (Current - 29.1.2010 23:25:00) Source Backup Message Database backed up. Database: master, creation date(time): 2010/01/29(23:25:32), pages dumped: 370, first LSN: 859:56:37, last LSN: 859:80:1, number of dump devices: 1, device information: (FILE=1, TYPE=VIRTUAL_DEVICE: {'{17B91D5C-9968-4D11-A7F1-1A31523D32F0}25'}). This is an informational message only. No user action is required. My questions is: Why runs sql backup with windows backup? How can i dissolve this that errors? Thank you a lot.

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  • Sql Server 2005 database lost, How to recover all records. MDF/LDF size is same as it should be

    - by Shantanu Gupta
    Few months back, I installed a sql server 2005 on one of my client machine. I gave him a backup option to take backup timely but he never took any backup. Today he called me that "i m not able to see any record of mine." I visited at my clients system and saw that none of the record was present on the tables. There was not even a single row in any of the tables. Then I checked if he has any backup file which i found to be absent. I asked him the reason what could be the possible cause. He said it might be due to virus. After this I checked the size of mdf and ldf file and found it should be what it is. when i created his server mdf ldf file had 2MB of database now it is 83 MB and 193Mb mdf/ldf respectively. This shows the data is still present in it but it is not being displayed. What could be the possible cause and how can i restore all data back to my tables ?

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  • Diagnosing Microsoft SQL Server error 9001: The log for the database is not available.

    - by Scott Mitchell
    Over the weekend a website I run stopped functioning, recording the following error in the Event Viewer each time a request is made to the website: Event ID: 9001 The log for database 'database name' is not available. Check the event log for related error messages. Resolve any errors and restart the database. The website is hosted on a dedicated server, so I am able to RDP into the server and poke around. The LDF file for the database exists in the C:\Program Files\Microsoft SQL Server\MSSQL10.MSSQLSERVER\MSSQL\DATA folder, but attempting to do any work with the database from Management Studio results in a dialog box reporting the same error - 9001: The log for database is not available... This is the first time I've received this error, and I've been hosting this site (and others) on this dedicated web server for over two years now. It is my understanding that this error indicates a corrupt log file. I was able to get the website back online by Detaching the database and then restoring a backup from a couple days ago, but my concern is that this error is indicative of a more sinister problem, namely a hard drive failure. I emailed support at the web hosting company and this was their reply: There doesn't appear to be any other indications of the cause in the Event Log, so it's possible that the log was corrupted. Currently the memory's resources is at 87%, which also may have an impact but is unlikely. Can the log just "become corrupted?" My question: What are the next steps I should take to diagnose this problem? How can I determine if this is, indeed, a hardware problem? And if it is, are there any options beyond replacing the disk? Thanks

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  • Trying to connect simple VB6 ADO to SQL Server 2008

    - by Henry
    We have a VB6 App that -for current purposes - is very basic ADO: Dim a New ADODB.Recorset, set some basic properties like Cursor Location and Lock Type, set a Connection String and a .Source like "Select * from CustomerMaster", and .OPEN - nothing fancy here! Yet, on a new SBS installation with SQL Server 2008 across 2 Servers (one for Apps, the other dedicated to SQL!), it dies/hangs/crashes if you try to run such a Query from anything but the SQL Sever box. Initially, we were using the SQLOLEDB.1 driver, which would crash/hang the entire SQL Server after about 4 such queries (built a simple 6 line App just for this purpose). Then switched to the NATIVE SQL driver, which did allow us unlimited, happy queries - until you did the first Change/Update - THEN it would corrupt the SQL Server if you exited and tried to go back in. All this 'corruption' is happening from the 'App Server' of the SBS pair, and I presume that the App Server (also installed in tandem with the SQL server this week) has the latest MDACs, etc. And running it from a 'lowly XP workstation' is (obviously) no better. ANY ideas??? -Henry

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  • Device CAL, User Cal or Processor license needed for SQL 2008 (architecture explained inside)?

    - by nycgags
    So we have a number of servers in the Amazon cloud running SQL Server Standard edition to aggregate data. For that purpose we are fine, the licensing is handled by our contract with Amazon, no problem there. For the beefier work, we want to install Enterprise Edition (EE) on our servers processing raw data so that we can take advantage of table partitioning. We currently have 3 servers aggregating data from about 40 node servers, all 43 of these servers are running standard edition which is fine. We also have 4 servers running standard processing the raw data, but I think we can get away with 2 (for redundancy) running Enterprise Edition. We have 2-3 dba's that access these DW servers for maintenance (using the same windows login via remote desktop). So visually: 40 -- 3 -- [2] -- 2 -- 1 nodes -- aggregators -- raw (which we want to run EE) -- calculators -- datawarehouse Nodes PUSH to aggregators, Raws PULL from aggregators, Calculators PULL from Raw, Calculators PUSH to datwarehouse I am specifying the push vs. pull in case that changes how the # of licenses is calculated. Q1) how many device (or user) CAL's do we need? Q2) do I need to speak with someone from MSFT to find out if it is ok to install in the Amazon Cloud (Amazon said we need to verify it is ok in our license terms)? Q3) what happens if another device tries to access a server with the limited number of device CAL's? Q4) Are the device CAL's simultaneous number of devices or total? Q5) Do Device and User CAL's cost the same or is there a difference? Q6) Would we need to buy a processor license (we are hoping not to)?

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  • then an error occurred during the login process - Connection Error 233

    - by scott brunner
    We have SQL Server 2008 installed on 64Bit Windows Server 2003. When we try connect to the local SQL Server using SQL Server Management Studio at the console, we get the error: A connection was successfully established with the server, but then an error occurred during the login process. provider: Shared Memory Provider, error: 0 - No process is on the other end of the pipe. When we try TCP from same local SSMS to local server, we get the same error but intead of the pipe message its something like "connection forcibly closed". Now, here is the strange part - we CAN connect to this SQL Server from any other machine on the network using SSMS. - AND - WE CAN'T connect to ANY SQL Server from the problem server. So it seems the SQL Server instance is fine and accepting remote connections. However, the SSMS on that machine will not connect to any SQL Server even remotely. When we try an ADO.NET connection from C# remotely we can connect, run that same code on the console of the trouble server and we get the same errors. How can this be solved?

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  • Alternative method of viewing a database diagram in SQL Server to see what tables have gone missing?

    - by Triynko
    I have a database diagram for my database, but when I open it in SQL Server, I almost immediately get a message saying some permissions changed or tables in the diagram were dropped or renamed, and tables in the diagram vanish before I can even scroll over to see what or where they were. Basically, it's saying, "Hey, you know all that time you spent laying out tables in this diagram... half of them are going to vanish when you view it, and I'm not going to tell you which tables vanished or where they were in the diagram. You're just going to see a bunch of random empty spaces where tables used to be ;)" Ridiculous. So I thought that maybe if I look in the dbo.sysdiagrams table, I could look at some plain text definition of the diagram to get a clue about the names of the tables that went missing (because thier names were probably only changed slightly) or their coordinates in the diagram (because their spatial location would give me a clue as to what they were), so that I could re-add them, but I can't, because it's a binary definition. So, is there some other program I could use to view the existing database diagram that's not going to just drop and forget the missing tables without telling me what they were, or is this information lost and at the mercy of some SSMS-proprietary database diagram format and viewer which refuses to cooperate with me.

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  • July, the 31 Days of SQL Server DMO’s – Day 25 (sys.dm_db_missing_index_details)

    - by Tamarick Hill
    The sys.dm_db_missing_index_details Dynamic Management View is used to return information about missing indexes on your SQL Server instances. These indexes are ones that the optimizer has identified as indexes it would like to use but did not have. You may also see these same indexes indicated in other tools such as query execution plans or the Database tuning advisor. Let’s execute this DMV so we can review the information it provides us. I do not have any missing index information for my AdventureWorks2012 database, but for the purposes of illustrating the result set of this DMV, I will present the results from my msdb database. SELECT * FROM sys.dm_db_missing_index_details The first column presented is the index_handle which uniquely identifies a particular missing index. The next two columns represent the database_id and the object_id for the particular table in question. Next is the ‘equality_columns’ column which gives you a list of columns (comma separated) that would be beneficial to the optimizer for equality operations. By equality operation I mean for any queries that would use a filter or join condition such as WHERE A = B. The next column, ‘inequality_columns’, gives you a comma separated list of columns that would be beneficial to the optimizer for inequality operations. An inequality operation is anything other than A = B. For example, “WHERE A != B”, “WHERE A > B”, “WHERE A < B”, and “WHERE A <> B” would all qualify as inequality. Next is the ‘included_columns’ column which list all columns that would be beneficial to the optimizer for purposes of providing a covering index and preventing key/bookmark lookups. Lastly is the ‘statement’ column which lists the name of the table where the index is missing. This DMV can help you identify potential indexes that could be added to improve the performance of your system. However, I will advise you not to just take the output of this DMV and create an index for everything you see. Everything listed here should be analyzed and then tested on a Development or Test system before implementing into a Production environment. For more information on this DMV, please see the below Books Online link: http://msdn.microsoft.com/en-us/library/ms345434.aspx Follow me on Twitter @PrimeTimeDBA

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  • Interview with Geoff Bones, developer on SQL Storage Compress

    - by red(at)work
    How did you come to be working at Red Gate? I've been working at Red Gate for nine months; before that I had been at a multinational engineering company. A number of my colleagues had left to work at Red Gate and spoke very highly of it, but I was happy in my role and thought, 'It can't be that great there, surely? They'll be back!' Then one day I visited to catch up them over lunch in the Red Gate canteen. I was so impressed with what I found there, that, three days later, I'd applied for a role as a developer. And how did you get into software development? My first job out of university was working as a systems programmer on IBM mainframes. This was quite a while ago: there was a lot of assembler and loading programs from tape drives and that kind of stuff. I learned a lot about how computers work, and this stood me in good stead when I moved over the development in the 90s. What's the best thing about working as a developer at Red Gate? Where should I start? One of the great things as a developer at Red Gate is the useful feedback and close contact we have with the people who use our products, either directly at trade shows and other events or through information coming through the product managers. The company's whole ethos is built around assisting the user, and this is in big contrast to my previous development roles. We aim to produce tools that people really want to use, that they enjoy using, and, as a developer, this is a great thing to aim for and a great feeling when we get it right. At Red Gate we also try to cut out the things that distract and stop us doing our jobs. As a developer, this means that I can focus on the code and the product I'm working on, knowing that others are doing a first-class job of making sure that the builds are running smoothly and that I'm getting great feedback from the testers. We keep our process light and effective, as we want to produce great software more than we want to produce great audit trails. Tell us a bit about the products you are currently working on. You mean HyperBac? First let me explain a bit about what HyperBac is. At heart it's a compression and encryption technology, but with a few added features that open up a wealth of really exciting possibilities. Right now we have the HyperBac technology in just three products: SQL HyperBac, SQL Virtual Restore and SQL Storage Compress, but we're only starting to develop what it can do. My personal favourite is SQL Virtual Restore; for example, I love the way you can use it to run independent test databases that are all backed by a single compressed backup. I don't think the market yet realises the kind of things you do once you are using these products. On the other hand, the benefits of SQL Storage Compress are straightforward: run your databases but use only 20% of the disk space. Databases are getting larger and larger, and, as they do, so does your ROI. What's a typical day for you? My days are pretty varied. We have our daily team stand-up meeting and then sometimes I will work alone on a current issue, or I'll be pair programming with one of my colleagues. From time to time we give half a day up to future planning with the team, when we look at the long and short term aims for the product and working out the development priorities. I also get to go to conferences and events, which is unusual for a development role and gives me the chance to meet and talk to our customers directly. Have you noticed anything different about developing tools for DBAs rather than other IT kinds of user? It seems to me that DBAs are quite independent minded; they know exactly what the problem they are facing is, and often have a solution in mind before they begin to look for what's on the market. This means that they're likely to cherry-pick tools from a range of vendors, picking the ones that are the best fit for them and that disrupt their environments the least. When I've met with DBAs, I've often been very impressed at their ability to summarise their set up, the issues, the obstacles they face when implementing a tool and their plans for their environment. It's easier to develop products for this audience as they give such a detailed overview of their needs, and I feel I understand their problems.

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  • Building dynamic OLAP data marts on-the-fly

    - by DrJohn
    At the forthcoming SQLBits conference, I will be presenting a session on how to dynamically build an OLAP data mart on-the-fly. This blog entry is intended to clarify exactly what I mean by an OLAP data mart, why you may need to build them on-the-fly and finally outline the steps needed to build them dynamically. In subsequent blog entries, I will present exactly how to implement some of the techniques involved. What is an OLAP data mart? In data warehousing parlance, a data mart is a subset of the overall corporate data provided to business users to meet specific business needs. Of course, the term does not specify the technology involved, so I coined the term "OLAP data mart" to identify a subset of data which is delivered in the form of an OLAP cube which may be accompanied by the relational database upon which it was built. To clarify, the relational database is specifically create and loaded with the subset of data and then the OLAP cube is built and processed to make the data available to the end-users via standard OLAP client tools. Why build OLAP data marts? Market research companies sell data to their clients to make money. To gain competitive advantage, market research providers like to "add value" to their data by providing systems that enhance analytics, thereby allowing clients to make best use of the data. As such, OLAP cubes have become a standard way of delivering added value to clients. They can be built on-the-fly to hold specific data sets and meet particular needs and then hosted on a secure intranet site for remote access, or shipped to clients' own infrastructure for hosting. Even better, they support a wide range of different tools for analytical purposes, including the ever popular Microsoft Excel. Extension Attributes: The Challenge One of the key challenges in building multiple OLAP data marts based on the same 'template' is handling extension attributes. These are attributes that meet the client's specific reporting needs, but do not form part of the standard template. Now clearly, these extension attributes have to come into the system via additional files and ultimately be added to relational tables so they can end up in the OLAP cube. However, processing these files and filling dynamically altered tables with SSIS is a challenge as SSIS packages tend to break as soon as the database schema changes. There are two approaches to this: (1) dynamically build an SSIS package in memory to match the new database schema using C#, or (2) have the extension attributes provided as name/value pairs so the file's schema does not change and can easily be loaded using SSIS. The problem with the first approach is the complexity of writing an awful lot of complex C# code. The problem of the second approach is that name/value pairs are useless to an OLAP cube; so they have to be pivoted back into a proper relational table somewhere in the data load process WITHOUT breaking SSIS. How this can be done will be part of future blog entry. What is involved in building an OLAP data mart? There are a great many steps involved in building OLAP data marts on-the-fly. The key point is that all the steps must be automated to allow for the production of multiple OLAP data marts per day (i.e. many thousands, each with its own specific data set and attributes). Now most of these steps have a great deal in common with standard data warehouse practices. The key difference is that the databases are all built to order. The only permanent database is the metadata database (shown in orange) which holds all the metadata needed to build everything else (i.e. client orders, configuration information, connection strings, client specific requirements and attributes etc.). The staging database (shown in red) has a short life: it is built, populated and then ripped down as soon as the OLAP Data Mart has been populated. In the diagram below, the OLAP data mart comprises the two blue components: the Data Mart which is a relational database and the OLAP Cube which is an OLAP database implemented using Microsoft Analysis Services (SSAS). The client may receive just the OLAP cube or both components together depending on their reporting requirements.  So, in broad terms the steps required to fulfil a client order are as follows: Step 1: Prepare metadata Create a set of database names unique to the client's order Modify all package connection strings to be used by SSIS to point to new databases and file locations. Step 2: Create relational databases Create the staging and data mart relational databases using dynamic SQL and set the database recovery mode to SIMPLE as we do not need the overhead of logging anything Execute SQL scripts to build all database objects (tables, views, functions and stored procedures) in the two databases Step 3: Load staging database Use SSIS to load all data files into the staging database in a parallel operation Load extension files containing name/value pairs. These will provide client-specific attributes in the OLAP cube. Step 4: Load data mart relational database Load the data from staging into the data mart relational database, again in parallel where possible Allocate surrogate keys and use SSIS to perform surrogate key lookup during the load of fact tables Step 5: Load extension tables & attributes Pivot the extension attributes from their native name/value pairs into proper relational tables Add the extension attributes to the views used by OLAP cube Step 6: Deploy & Process OLAP cube Deploy the OLAP database directly to the server using a C# script task in SSIS Modify the connection string used by the OLAP cube to point to the data mart relational database Modify the cube structure to add the extension attributes to both the data source view and the relevant dimensions Remove any standard attributes that not required Process the OLAP cube Step 7: Backup and drop databases Drop staging database as it is no longer required Backup data mart relational and OLAP database and ship these to the client's infrastructure Drop data mart relational and OLAP database from the build server Mark order complete Start processing the next order, ad infinitum. So my future blog posts and my forthcoming session at the SQLBits conference will all focus on some of the more interesting aspects of building OLAP data marts on-the-fly such as handling the load of extension attributes and how to dynamically alter the structure of an OLAP cube using C#.

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  • SQL University: What and why of database refactoring

    - by Mladen Prajdic
    This is a post for a great idea called SQL University started by Jorge Segarra also famously known as SqlChicken on Twitter. It’s a collection of blog posts on different database related topics contributed by several smart people all over the world. So this week is mine and we’ll be talking about database testing and refactoring. In 3 posts we’ll cover: SQLU part 1 - What and why of database testing SQLU part 2 - What and why of database refactoring SQLU part 3 - Tools of the trade This is a second part of the series and in it we’ll take a look at what database refactoring is and why do it. Why refactor a database To know why refactor we first have to know what refactoring actually is. Code refactoring is a process where we change module internals in a way that does not change that module’s input/output behavior. For successful refactoring there is one crucial thing we absolutely must have: Tests. Automated unit tests are the only guarantee we have that we haven’t broken the input/output behavior before refactoring. If you haven’t go back ad read my post on the matter. Then start writing them. Next thing you need is a code module. Those are views, UDFs and stored procedures. By having direct table access we can kiss fast and sweet refactoring good bye. One more point to have a database abstraction layer. And no, ORM’s don’t fall into that category. But also know that refactoring is NOT adding new functionality to your code. Many have fallen into this trap. Don’t be one of them and resist the lure of the dark side. And it’s a strong lure. We developers in general love to add new stuff to our code, but hate fixing our own mistakes or changing existing code for no apparent reason. To be a good refactorer one needs discipline and focus. Now we know that refactoring is all about changing inner workings of existing code. This can be due to performance optimizations, changing internal code workflows or some other reason. This is a typical black box scenario to the outside world. If we upgrade the car engine it still has to drive on the road (preferably faster) and not fly (no matter how cool that would be). Also be aware that white box tests will break when we refactor. What to refactor in a database Refactoring databases doesn’t happen that often but when it does it can include a lot of stuff. Let us look at a few common cases. Adding or removing database schema objects Adding, removing or changing table columns in any way, adding constraints, keys, etc… All of these can be counted as internal changes not visible to the data consumer. But each of these carries a potential input/output behavior change. Dropping a column can result in views not working anymore or stored procedure logic crashing. Adding a unique constraint shows duplicated data that shouldn’t exist. Foreign keys break a truncate table command executed from an application that runs once a month. All these scenarios are very real and can happen. With the proper database abstraction layer fully covered with black box tests we can make sure something like that does not happen (hopefully at all). Changing physical structures Physical structures include heaps, indexes and partitions. We can pretty much add or remove those without changing the data returned by the database. But the performance can be affected. So here we use our performance tests. We do have them, right? Just by adding a single index we can achieve orders of magnitude performance improvement. Won’t that make users happy? But what if that index causes our write operations to crawl to a stop. again we have to test this. There are a lot of things to think about and have tests for. Without tests we can’t do successful refactoring! Fixing bad code We all have some bad code in our systems. We usually refer to that code as code smell as they violate good coding practices. Examples of such code smells are SQL injection, use of SELECT *, scalar UDFs or cursors, etc… Each of those is huge code smell and can result in major code changes. Take SELECT * from example. If we remove a column from a table the client using that SELECT * statement won’t have a clue about that until it runs. Then it will gracefully crash and burn. Not to mention the widely unknown SELECT * view refresh problem that Tomas LaRock (@SQLRockstar on Twitter) and Colin Stasiuk (@BenchmarkIT on Twitter) talk about in detail. Go read about it, it’s informative. Refactoring this includes replacing the * with column names and most likely change to application using the database. Breaking apart huge stored procedures Have you ever seen seen a stored procedure that was 2000 lines long? I have. It’s not pretty. It hurts the eyes and sucks the will to live the next 10 minutes. They are a maintenance nightmare and turn into things no one dares to touch. I’m willing to bet that 100% of time they don’t have a single test on them. Large stored procedures (and functions) are a clear sign that they contain business logic. General opinion on good database coding practices says that business logic has no business in the database. That’s the applications part. Refactoring such behemoths requires writing lots of edge case tests for the stored procedure input/output behavior and then start to refactor it. First we split the logic inside into smaller parts like new stored procedures and UDFs. Those then get called from the master stored procedure. Once we’ve successfully modularized the database code it’s best to transfer that logic into the applications consuming it. This only leaves the stored procedure with common data manipulation logic. Of course this isn’t always possible so having a plethora of performance and behavior unit tests is absolutely necessary to confirm we’ve actually improved the codebase in some way.   Refactoring is not a popular chore amongst developers or managers. The former don’t like fixing old code, the latter can’t see the financial benefit. Remember how we talked about being lousy at estimating future costs in the previous post? But there comes a time when it must be done. Hopefully I’ve given you some ideas how to get started. In the last post of the series we’ll take a look at the tools to use and an example of testing and refactoring.

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  • In SQL Server can I insert multiple nodes into XML from a table?

    - by tpower
    I want to generate some XML in a stored procedure based on data in a table. The following insert allows me to add many nodes but they have to be hard-coded or use variables (sql:variable): SET @MyXml.modify(' insert <myNode> {sql:variable("@MyVariable")} </myNode> into (/root[1]) ') So I could loop through each record in my table, put the values I need into variables and execute the above statement. But is there a way I can do this by just combining with a select statement and avoiding the loop? Edit I have used SELECT FOR XML to do similar stuff before but I always find it hard to read when working with a hierarchy of data from multiple tables. I was hoping there would be something using the modify where the XML generated is more explicit and more controllable.

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  • Dynamic case statement in bash

    - by infra.user
    Hi folks, I'm trying to figure out how to create a dynamic case statement in a bash script. For example, let's say I have the output of an awk statement with the following contents red green blue In this scenario, the output can change at any time. I'm trying to then execute different logic if a value is included in this awk output. So if the data above is in $list, then I'd conceptually like to do something like: case "${my_var}" in $list) ..... something_else) ..... esac I'm trying to use this to build a dynamic custom tab completion function (see http://www.debian-administration.org/article/An_introduction_to_bash_completion_part_2 for some background). Any ideas? Thanks.

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  • Throwing exception vs returning null value with switch statement

    - by Greg
    So I have function that formats a date to coerce to given enum DateType{CURRENT, START, END} what would be the best way to handling return value with cases that use switch statement public static String format(Date date, DateType datetype) { ..validation checks switch(datetype){ case CURRENT:{ return getFormattedDate(date, "yyyy-MM-dd hh:mm:ss"); } ... default:throw new ("Something strange happend"); } } OR throw excpetion at the end public static String format(Date date, DateType datetype) { ..validation checks switch(datetype){ case CURRENT:{ return getFormattedDate(date, "yyyy-MM-dd hh:mm:ss"); } ... } //It will never reach here, just to make compiler happy throw new IllegalArgumentException("Something strange happend"); } OR return null public static String format(Date date, DateType datetype) { ..validation checks switch(datetype){ case CURRENT:{ return getFormattedDate(date, "yyyy-MM-dd hh:mm:ss"); } ... } return null; } What would be the best practice here ? Also all the enum values will be handled in the case statement

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  • basic SQL atomicity "UPDATE ... SET .. WHERE ..."

    - by elgcom
    I have a rather basic and general question about atomicity of "UPDATE ... SET .. WHERE ..." statement. having a table (without extra constraint), +----------+ | id | name| +----------+ | 1 | a | +----+-----+ now, I would execute following 4 statements "at the same time" (concurrently). UPDATE table SET name='b1' WHERE name='a' UPDATE table SET name='b2' WHERE name='a' UPDATE table SET name='b3' WHERE name='a' UPDATE table SET name='b4' WHERE name='a' is there only one UPDATE statement would be executed with table update? or, is it possible that more than one UPDATE statements can really update the table? should I need extra transaction or lock to let only one UPDATE write values into table? thanks

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  • Can MySQL / SQL's short hand of "Using" be used without saying "Inner Join" ?

    - by Jian Lin
    The following 2 statements are to join using gifts.giftID = sentgifts.giftID: mysql> select * from gifts, sentgifts using (giftID); ERROR 1064 (42000): You have an error in your SQL syntax; check the manual that corresponds to your MySQL server version for the right syntax to use near 'using (giftID)' at line 1 and the second one: mysql> select * from gifts INNER JOIN sentgifts using (giftID); +--------+------------+----------------+---------------------+--------+------------+--------+------+---------------------+ | giftID | name | filename | effectiveTime | sentID | whenSent | fromID | toID | trytryWhen | +--------+------------+----------------+---------------------+--------+------------+--------+------+---------------------+ | 2 | teddy bear | bear.jpg | 2010-04-24 04:36:03 | 4 | 2010-04-24 | NULL | 111 | 2010-04-24 03:10:42 | | 6 | beer | beer_glass.png | 2010-04-24 05:18:12 | 5 | 2010-03-03 | 11 | 22 | 2010-03-03 00:00:00 | | 6 | beer | beer_glass.png | 2010-04-24 05:18:12 | 6 | 2010-04-24 | 11 | 222 | 2010-04-24 03:54:49 | | 6 | beer | beer_glass.png | 2010-04-24 05:18:12 | 7 | 2010-04-24 | 1 | 2 | 2010-04-24 03:58:45 | +--------+------------+----------------+---------------------+--------+------------+--------+------+---------------------+ 4 rows in set (0.00 sec) Can the first statement also use the "using" shorthand? It seems that when it is used then the word "Inner Join" must be specified... but the first statement is actually an inner join?

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  • Dealing with multiple Javascript IF statements.

    - by Joey
    Is it possible to put multiple IF statements in Javascript? If so, I'm having a fair amount of trouble with the statement below. I was wondering if you can put another IF statement in between if (data == 'valid') AND else? I want to add another if data =='concept') between the two. if (data == 'valid') { $("#file").slideUp(function () { $("#file").before('<div class="approvedMessage">WIN WIN WIN!</div>'); setTimeout(ApprovedProof, 5000); }); function ApprovedProof() { $("#file").slideDown(); $('.approvedMessage').fadeOut(); } } else { $("#file").slideUp(function () { $("#file").before('<div class="deniedMessage">NO NO NO!</div>'); setTimeout(DeniedProof, 5000); }); function DeniedProof() { $("#file").slideDown(); $('.deniedMessage').fadeOut(); } }

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  • If Then Statement Condition Being Ignored With Optimisations On

    - by Matma
    I think im going mad but can some show me what im missing, it must be some stupidly simple i just cant see the wood for the trees. BOTH side of this if then else statement are being executed? Ive tried commenting out the true side and moving the condition to a seperate variable with the same result. However if i explicitly set the condition to 1=0 or 1=1 then the if then statement is operating as i would expect. i.e. only executing one side of the equation... The only time ive seen this sort of thing is when the compiler has crashed and is no longer compiling (without visible indication that its not) but ive restarted studio with the same results, ive cleaned the solution, built and rebuilt with no change? please show me the stupid mistake im making using vs2005 if it matters. Dim dset As DataSet = New DataSet If (CboCustomers.SelectedValue IsNot Nothing) AndAlso (CboCustomers.SelectedValue <> "") Then Dim Sql As String = "Select sal.SalesOrderNo As SalesOrder,cus.CustomerName,has.SerialNo, convert(varchar,sal.Dateofpurchase,103) as Date from [dbo].[Customer_Table] as cus " & _ " inner join [dbo].[Hasp_table] as has on has.CustomerID=cus.CustomerTag " & _ " inner join [dbo].[salesorder_table] as sal On sal.Hasp_ID =has.Hasp_ID Where cus.CustomerTag = '" & CboCustomers.SelectedValue.ToString & "'" Dim dap As SqlDataAdapter = New SqlDataAdapter(Sql, FormConnection) dap.Fill(dset, "dbo.Customer_Table") DGCustomer.DataSource = dset.Tables("dbo.Customer_Table") Else Dim erm As String = "wtf" End If EDIT: i have found that this is something to do with the release config settings im using, i guesing its the optimisations bit. does anyone know of any utils/addons for vs that show if a line has been optimised out. delphi, my former language showed blue dots in the left margin to show that it was a compiled line, no dot meaning it wasnt compiled in, is there anything like that for vs? alternatively can someone explain how optimisations would affect this simple if statement causeing it to run both sides? EDIT2: using this thread as possible causes/solutions : http://stackoverflow.com/questions/2135509/bug-only-occurring-when-compile-optimization-enabled. It does the same with release = optimisations on, x86, x64 and AnyCPU Goes away with optimisations off. Im using V2005 on a x64 win7 machine, if that matters. Thanks

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  • Problem evaluating NULL in an IIF statement (Access)

    - by Mohgeroth
    Item in the recordset rstImportData("Flat Size") is = Null With that, given the following statement: IIF(IsNull(rstImportData("Flat Size")), Null, cstr(rstImportData("Flat Size"))) Result: Throws error 94: Invalid use of Null If I change the statement by removing the type conversion upon a false comparison: IIF(IsNull(rstImportData("Flat Size")), Null, 0) Result: Null It returns Null as it should have the first time. It appears that I cannot do a type conversion in an IIF if the value passed in should ever be null even if it passes an IIF test, it still attempts to evaluate it at both the true and false answer. The only reason I'm using IIF like this is because I have a 25 line comparison to compare data from an Import against a matching record in a database to see if I need to append the prior to history. Any thoughts? The way data is imported there will be null dates and where the spreadsheet import is in a string format I must convert either side to the other to compare the values properly but if either side is null this exception occurs :(

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  • Can't Use Generic C# Class in Using Statement

    - by Eric J.
    I'm trying to use a generic class in a using statement but the compiler can't seem to treat it as implementing IDisposable. using System; using System.Collections.Generic; using System.Linq; using System.Text; using System.Data.Objects; namespace Sandbox { public sealed class UnitOfWorkScope<T> where T : ObjectContext, IDisposable, new() { public void Dispose() { } } public class MyObjectContext : ObjectContext, IDisposable { public MyObjectContext() : base("DummyConnectionString") { } #region IDisposable Members void IDisposable.Dispose() { throw new NotImplementedException(); } #endregion } public class Consumer { public void DoSomething() { using (new UnitOfWorkScope<MyObjectContext>()) { } } } } Compiler error is: Error 1 'Sandbox.UnitOfWorkScope<Sandbox.MyObjectContext>': type used in a using statement must be implicitly convertible to 'System.IDisposable' I implemented IDisposable on UnitOfWorkScope (and to see if that was the problem, also on MyObjectContext). What am I missing?

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  • Inspection of Insert Statement When Using LINQ's SubmitChanges

    - by Code Sherpa
    Hi. I want to see what my insert statement would look like as if I was wiring up an text-based ADO.NET command. How do I do this? I have been following the below link: http://damieng.com/blog/2008/07/30/linq-to-sql-log-to-debug-window-file-memory-or-multiple-writers And have added the DebugTextWriter class to my project. So, now, in my code I have the following which doesn't really do anything and I don't think its right: using(WorkbookDataContext dc = _conn.GetContext()) { if(profile.ProfileId > 0) { dc.Profiles.Attach(profile, true); } else { dc.Profiles.InsertOnSubmit(profile); } dc.Log = new DebugTextWriter(); #if DEBUG dc.Log = new System.IO.StreamWriter("linq-to-sql.log") { AutoFlush = true }; #endif dc.SubmitChanges(); } Any ideas what I am doing wrong and/or how to inspect my LINQ insert statement correctly? Thanks

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  • Cast element in Java For Each statement

    - by Carl Summers
    Is it possible (or even advisable) to cast the element retrieved from a for each statement in the statement itself? I do know that each element in list will be of type . I.E.: List<BaseType> list = DAO.getList(); for(<SubType> element : list){ // Cannot convert from element type <BaseType> to <SubType> ... } rather than: List <BaseType> list = DAO.getList(); for(<BaseType> el : list){ <SubType> element = (<SubType>)el; ... }

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  • T-SQL Conditonal Select Statement

    - by msarchet
    So this isn't really a normal conditional select statement. I'm helping a colleague out with some SQL and we have this issue. I current there is a coulumn ID and a column Number. Either ID is 0 or Number is 0. So my select statement needs to do Select colA, colB, colC, crazy part From Table A. the crazy part is this: (If ID > 0, ID, Number) basically select and return that column that isn't 0. Is there any way to do this in T-SQL?

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