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  • Microsoft Drivers 3.0.1 for PHP for SQL Server with PHP 5.4 Support Released

    - by The Official Microsoft IIS Site
    Dear SQL Server Developer Community, As you know, two weeks ago, we released our 3.0 drivers along with SQL Server 2012 . It was around the same time that PHP 5.4 was also released to the web, and we have received many requests from our community members to support the new PHP runtime. It is my pleasure to announce that we have listened to you, and have updated our drivers to 3.0.1. The major feature added for this release is support for PHP 5.4, as well as some minor bug fixes. As always, you can...(read more)

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  • need example sql transaction procedures for sales tracking or financial database [closed]

    - by fa1c0n3r
    hi, i am making a database for an accounting/sales type system similar to a car sales database and would like to make some transactions for the following real world actions salesman creates new product shipped onto floor (itempk, car make, year, price).   salesman changes price.   salesman creates sale entry for product sold (salespk, itemforeignkey, price sold, salesman).   salesman cancels item for removed product.   salesman cancels sale for cancelled sale    the examples i have found online are too generic...like this is a transaction... i would like something resembling what i am trying to do to understand it.  anybody have some good similar or related sql examples i can look at to design these? do people use transactions for sales databases?  or if you have done this kind of sql transaction before could you make an outline for how these could be made?  thanks  my thread so far on stack overflow... http://stackoverflow.com/q/4975484/613799

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  • PASS Summit for SQL Starters

    - by Davide Mauri
    I’ve received a buch of emails from PASS Summit “First Timers” that are also somehow new to SQL Server (for “somehow” I mean people with less than 6 month experience but with some basic knowledge of SQL Server engine) or are catching up from SQL Server 2000. The common question regards the session one should not miss to have a broad view of the entire SQL Server platform have some insight into some specific areas of SQL Server Given that I’m on (semi-)vacantion and that I have more free time (not true, I have to prepare slides & demos for several conferences, PASS Summit  - Building the Agile Data Warehouse with SQL Server 2012 - and PASS 24H - Agile Data Warehousing with SQL Server 2012 - among them…but let’s pretend it to be true), I’ve decided to make a post to answer to this common questions. Of course this is my personal point of view and given the fact that the number and quality of session that will be delivered at PASS Summit is so high that is very difficoult to make a choice, fell free to jump into the discussion and leave your feedback or – even better – answer with another post. I’m sure it will be very helpful to all the SQL Server beginners out there. I’ve imposed to myself to choose 6 session at maximum for each Track. Why 6? Because it’s the maximum number of session you can follow in one day, and given that all the session will be on the Summit DVD, they are the answer to the following question: “If I have one day to spend in training, which session I should watch?”. Of course a Summit is not like a Course so a lot of very basics concept of well-established technologies won’t be found here. Analysis Services, Integration Services, MDX are not part of the Summit this time (at least for the basic part of them). Enough with that, let’s start with the session list ideal to have a good Overview of all the SQL Server Platform: Geospatial Data Types in SQL Server 2012 Inside Unstructured Data: SQL Server 2012 FileTable and Semantic Search XQuery and XML in SQL Server: Common Problems and Best Practice Solutions Microsoft's Big Play for Big Data Dashboards: When to Choose Which MSBI Tool Microsoft BI End-User Tools 360° for what concern Database Development, I recommend the following sessions Understanding Transaction Isolation Levels What to Look for in Execution Plans Improve Query Performance by Fixing Bad Parameter Sniffing A Window into Your Data: Using SQL Window Functions Practical Uses and Optimization of New T-SQL Features in SQL Server 2012 Taking MERGE Beyond the Basics For Business Intelligence Information Delivery Analyzing SSAS Data with Excel Building Compelling Power View Reports Managed Self-Service BI PowerPivot 101  SharePoint for Business Intelligence The Best Microsoft BI Tools You've Never Heard Of and for Business Intelligence Architecture & Development BI Power Hour Building a Tabular Model Database Enterprise Information Management: Bringing Together SSIS, DQS, and MDS SSIS Design Patterns Storing Columnstore Indexes Hadoop and Its Ecosystem Components in Action Beside the listed sessions, First Timers should also take a look the the page PASS set up for them: http://www.sqlpass.org/summit/2012/Connect/FirstTimers.aspx See you at PASS Summit!

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  • SQL SERVER Get Latest SQL Query for Sessions DMV

    In recent SQL Training I was asked, how can one figure out what was the last SQL Statement executed in sessions. The query for this is very simple. It uses two DMVs and created following quick script for the same. SELECT session_id, TEXT FROM sys.dm_exec_connections CROSS APPLYsys.dm_exec_sql_text(most_recent_sql_handle) AS ST While working with DMVs if you [...]...Did you know that DotNetSlackers also publishes .net articles written by top known .net Authors? We already have over 80 articles in several categories including Silverlight. Take a look: here.

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  • Alternative to TOP in SQL Server and Oracle.

    SELECT TOP 5 * FROM EMP ORDER BY SALARY; Above query works in SQL Server. This returns top 5 employees. The problem with this query is it doesn't work with Oracle. In Oracle you would need to write the query as follows. SELECT * FROM EMP WHERE ROWNUM<=5 ORDER BY SALARY If you are looking for a query which runs in both Oracle and SQL Server. Please use below one. select * from (SELECT row_number() over( ORDER by SALARY) as rank, EMP.* FROM EMP) s1 where s1.rank <= 5; span.fullpost {display:none;}

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  • Row Versioning Concurrency in SQL Server

    The optimistic concurrency model assumes that several concurrent transactions can usually complete without interfering with each other, and therefore do not require draconian locking on the resources they access. SQL Server 2005, and later, implements a form of this model called row versioning concurrency. It works by remembering the value of the data at the start of the transaction and checking that no other transaction has modified it before committing. If this optimism is justified for the pattern of activity within a database, it can improve performance by greatly reducing blocking. Kalen Delaney explains how it works in SQL Server.

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  • Node.js Adventure - When Node Flying in Wind

    - by Shaun
    In the first post of this series I mentioned some popular modules in the community, such as underscore, async, etc.. I also listed a module named “Wind (zh-CN)”, which is created by one of my friend, Jeff Zhao (zh-CN). Now I would like to use a separated post to introduce this module since I feel it brings a new async programming style in not only Node.js but JavaScript world. If you know or heard about the new feature in C# 5.0 called “async and await”, or you learnt F#, you will find the “Wind” brings the similar async programming experience in JavaScript. By using “Wind”, we can write async code that looks like the sync code. The callbacks, async stats and exceptions will be handled by “Wind” automatically and transparently.   What’s the Problem: Dense “Callback” Phobia Let’s firstly back to my second post in this series. As I mentioned in that post, when we wanted to read some records from SQL Server we need to open the database connection, and then execute the query. In Node.js all IO operation are designed as async callback pattern which means when the operation was done, it will invoke a function which was taken from the last parameter. For example the database connection opening code would be like this. 1: sql.open(connectionString, function(error, conn) { 2: if(error) { 3: // some error handling code 4: } 5: else { 6: // connection opened successfully 7: } 8: }); And then if we need to query the database the code would be like this. It nested in the previous function. 1: sql.open(connectionString, function(error, conn) { 2: if(error) { 3: // some error handling code 4: } 5: else { 6: // connection opened successfully 7: conn.queryRaw(command, function(error, results) { 8: if(error) { 9: // failed to execute this command 10: } 11: else { 12: // records retrieved successfully 13: } 14: }; 15: } 16: }); Assuming if we need to copy some data from this database to another then we need to open another connection and execute the command within the function under the query function. 1: sql.open(connectionString, function(error, conn) { 2: if(error) { 3: // some error handling code 4: } 5: else { 6: // connection opened successfully 7: conn.queryRaw(command, function(error, results) { 8: if(error) { 9: // failed to execute this command 10: } 11: else { 12: // records retrieved successfully 13: target.open(targetConnectionString, function(error, t_conn) { 14: if(error) { 15: // connect failed 16: } 17: else { 18: t_conn.queryRaw(copy_command, function(error, results) { 19: if(error) { 20: // copy failed 21: } 22: else { 23: // and then, what do you want to do now... 24: } 25: }; 26: } 27: }; 28: } 29: }; 30: } 31: }); This is just an example. In the real project the logic would be more complicated. This means our application might be messed up and the business process will be fragged by many callback functions. I would like call this “Dense Callback Phobia”. This might be a challenge how to make code straightforward and easy to read, something like below. 1: try 2: { 3: // open source connection 4: var s_conn = sqlConnect(s_connectionString); 5: // retrieve data 6: var results = sqlExecuteCommand(s_conn, s_command); 7: 8: // open target connection 9: var t_conn = sqlConnect(t_connectionString); 10: // prepare the copy command 11: var t_command = getCopyCommand(results); 12: // execute the copy command 13: sqlExecuteCommand(s_conn, t_command); 14: } 15: catch (ex) 16: { 17: // error handling 18: }   What’s the Problem: Sync-styled Async Programming Similar as the previous problem, the callback-styled async programming model makes the upcoming operation as a part of the current operation, and mixed with the error handling code. So it’s very hard to understand what on earth this code will do. And since Node.js utilizes non-blocking IO mode, we cannot invoke those operations one by one, as they will be executed concurrently. For example, in this post when I tried to copy the records from Windows Azure SQL Database (a.k.a. WASD) to Windows Azure Table Storage, if I just insert the data into table storage one by one and then print the “Finished” message, I will see the message shown before the data had been copied. This is because all operations were executed at the same time. In order to make the copy operation and print operation executed synchronously I introduced a module named “async” and the code was changed as below. 1: async.forEach(results.rows, 2: function (row, callback) { 3: var resource = { 4: "PartitionKey": row[1], 5: "RowKey": row[0], 6: "Value": row[2] 7: }; 8: client.insertEntity(tableName, resource, function (error) { 9: if (error) { 10: callback(error); 11: } 12: else { 13: console.log("entity inserted."); 14: callback(null); 15: } 16: }); 17: }, 18: function (error) { 19: if (error) { 20: error["target"] = "insertEntity"; 21: res.send(500, error); 22: } 23: else { 24: console.log("all done."); 25: res.send(200, "Done!"); 26: } 27: }); It ensured that the “Finished” message will be printed when all table entities had been inserted. But it cannot promise that the records will be inserted in sequence. It might be another challenge to make the code looks like in sync-style? 1: try 2: { 3: forEach(row in rows) { 4: var entity = { /* ... */ }; 5: tableClient.insert(tableName, entity); 6: } 7:  8: console.log("Finished"); 9: } 10: catch (ex) { 11: console.log(ex); 12: }   How “Wind” Helps “Wind” is a JavaScript library which provides the control flow with plain JavaScript for asynchronous programming (and more) without additional pre-compiling steps. It’s available in NPM so that we can install it through “npm install wind”. Now let’s create a very simple Node.js application as the example. This application will take some website URLs from the command arguments and tried to retrieve the body length and print them in console. Then at the end print “Finish”. I’m going to use “request” module to make the HTTP call simple so I also need to install by the command “npm install request”. The code would be like this. 1: var request = require("request"); 2:  3: // get the urls from arguments, the first two arguments are `node.exe` and `fetch.js` 4: var args = process.argv.splice(2); 5:  6: // main function 7: var main = function() { 8: for(var i = 0; i < args.length; i++) { 9: // get the url 10: var url = args[i]; 11: // send the http request and try to get the response and body 12: request(url, function(error, response, body) { 13: if(!error && response.statusCode == 200) { 14: // log the url and the body length 15: console.log( 16: "%s: %d.", 17: response.request.uri.href, 18: body.length); 19: } 20: else { 21: // log error 22: console.log(error); 23: } 24: }); 25: } 26: 27: // finished 28: console.log("Finished"); 29: }; 30:  31: // execute the main function 32: main(); Let’s execute this application. (I made them in multi-lines for better reading.) 1: node fetch.js 2: "http://www.igt.com/us-en.aspx" 3: "http://www.igt.com/us-en/games.aspx" 4: "http://www.igt.com/us-en/cabinets.aspx" 5: "http://www.igt.com/us-en/systems.aspx" 6: "http://www.igt.com/us-en/interactive.aspx" 7: "http://www.igt.com/us-en/social-gaming.aspx" 8: "http://www.igt.com/support.aspx" Below is the output. As you can see the finish message was printed at the beginning, and the pages’ length retrieved in a different order than we specified. This is because in this code the request command, console logging command are executed asynchronously and concurrently. Now let’s introduce “Wind” to make them executed in order, which means it will request the websites one by one, and print the message at the end.   First of all we need to import the “Wind” package and make sure the there’s only one global variant named “Wind”, and ensure it’s “Wind” instead of “wind”. 1: var Wind = require("wind");   Next, we need to tell “Wind” which code will be executed asynchronously so that “Wind” can control the execution process. In this case the “request” operation executed asynchronously so we will create a “Task” by using a build-in helps function in “Wind” named Wind.Async.Task.create. 1: var requestBodyLengthAsync = function(url) { 2: return Wind.Async.Task.create(function(t) { 3: request(url, function(error, response, body) { 4: if(error || response.statusCode != 200) { 5: t.complete("failure", error); 6: } 7: else { 8: var data = 9: { 10: uri: response.request.uri.href, 11: length: body.length 12: }; 13: t.complete("success", data); 14: } 15: }); 16: }); 17: }; The code above created a “Task” from the original request calling code. In “Wind” a “Task” means an operation will be finished in some time in the future. A “Task” can be started by invoke its start() method, but no one knows when it actually will be finished. The Wind.Async.Task.create helped us to create a task. The only parameter is a function where we can put the actual operation in, and then notify the task object it’s finished successfully or failed by using the complete() method. In the code above I invoked the request method. If it retrieved the response successfully I set the status of this task as “success” with the URL and body length. If it failed I set this task as “failure” and pass the error out.   Next, we will change the main() function. In “Wind” if we want a function can be controlled by Wind we need to mark it as “async”. This should be done by using the code below. 1: var main = eval(Wind.compile("async", function() { 2: })); When the application is running, Wind will detect “eval(Wind.compile(“async”, function” and generate an anonymous code from the body of this original function. Then the application will run the anonymous code instead of the original one. In our example the main function will be like this. 1: var main = eval(Wind.compile("async", function() { 2: for(var i = 0; i < args.length; i++) { 3: try 4: { 5: var result = $await(requestBodyLengthAsync(args[i])); 6: console.log( 7: "%s: %d.", 8: result.uri, 9: result.length); 10: } 11: catch (ex) { 12: console.log(ex); 13: } 14: } 15: 16: console.log("Finished"); 17: })); As you can see, when I tried to request the URL I use a new command named “$await”. It tells Wind, the operation next to $await will be executed asynchronously, and the main thread should be paused until it finished (or failed). So in this case, my application will be pause when the first response was received, and then print its body length, then try the next one. At the end, print the finish message.   Finally, execute the main function. The full code would be like this. 1: var request = require("request"); 2: var Wind = require("wind"); 3:  4: var args = process.argv.splice(2); 5:  6: var requestBodyLengthAsync = function(url) { 7: return Wind.Async.Task.create(function(t) { 8: request(url, function(error, response, body) { 9: if(error || response.statusCode != 200) { 10: t.complete("failure", error); 11: } 12: else { 13: var data = 14: { 15: uri: response.request.uri.href, 16: length: body.length 17: }; 18: t.complete("success", data); 19: } 20: }); 21: }); 22: }; 23:  24: var main = eval(Wind.compile("async", function() { 25: for(var i = 0; i < args.length; i++) { 26: try 27: { 28: var result = $await(requestBodyLengthAsync(args[i])); 29: console.log( 30: "%s: %d.", 31: result.uri, 32: result.length); 33: } 34: catch (ex) { 35: console.log(ex); 36: } 37: } 38: 39: console.log("Finished"); 40: })); 41:  42: main().start();   Run our new application. At the beginning we will see the compiled and generated code by Wind. Then we can see the pages were requested one by one, and at the end the finish message was printed. Below is the code Wind generated for us. As you can see the original code, the output code were shown. 1: // Original: 2: function () { 3: for(var i = 0; i < args.length; i++) { 4: try 5: { 6: var result = $await(requestBodyLengthAsync(args[i])); 7: console.log( 8: "%s: %d.", 9: result.uri, 10: result.length); 11: } 12: catch (ex) { 13: console.log(ex); 14: } 15: } 16: 17: console.log("Finished"); 18: } 19:  20: // Compiled: 21: /* async << function () { */ (function () { 22: var _builder_$0 = Wind.builders["async"]; 23: return _builder_$0.Start(this, 24: _builder_$0.Combine( 25: _builder_$0.Delay(function () { 26: /* var i = 0; */ var i = 0; 27: /* for ( */ return _builder_$0.For(function () { 28: /* ; i < args.length */ return i < args.length; 29: }, function () { 30: /* ; i ++) { */ i ++; 31: }, 32: /* try { */ _builder_$0.Try( 33: _builder_$0.Delay(function () { 34: /* var result = $await(requestBodyLengthAsync(args[i])); */ return _builder_$0.Bind(requestBodyLengthAsync(args[i]), function (result) { 35: /* console.log("%s: %d.", result.uri, result.length); */ console.log("%s: %d.", result.uri, result.length); 36: return _builder_$0.Normal(); 37: }); 38: }), 39: /* } catch (ex) { */ function (ex) { 40: /* console.log(ex); */ console.log(ex); 41: return _builder_$0.Normal(); 42: /* } */ }, 43: null 44: ) 45: /* } */ ); 46: }), 47: _builder_$0.Delay(function () { 48: /* console.log("Finished"); */ console.log("Finished"); 49: return _builder_$0.Normal(); 50: }) 51: ) 52: ); 53: /* } */ })   How Wind Works Someone may raise a big concern when you find I utilized “eval” in my code. Someone may assume that Wind utilizes “eval” to execute some code dynamically while “eval” is very low performance. But I would say, Wind does NOT use “eval” to run the code. It only use “eval” as a flag to know which code should be compiled at runtime. When the code was firstly been executed, Wind will check and find “eval(Wind.compile(“async”, function”. So that it knows this function should be compiled. Then it utilized parse-js to analyze the inner JavaScript and generated the anonymous code in memory. Then it rewrite the original code so that when the application was running it will use the anonymous one instead of the original one. Since the code generation was done at the beginning of the application was started, in the future no matter how long our application runs and how many times the async function was invoked, it will use the generated code, no need to generate again. So there’s no significant performance hurt when using Wind.   Wind in My Previous Demo Let’s adopt Wind into one of my previous demonstration and to see how it helps us to make our code simple, straightforward and easy to read and understand. In this post when I implemented the functionality that copied the records from my WASD to table storage, the logic would be like this. 1, Open database connection. 2, Execute a query to select all records from the table. 3, Recreate the table in Windows Azure table storage. 4, Create entities from each of the records retrieved previously, and then insert them into table storage. 5, Finally, show message as the HTTP response. But as the image below, since there are so many callbacks and async operations, it’s very hard to understand my logic from the code. Now let’s use Wind to rewrite our code. First of all, of course, we need the Wind package. Then we need to include the package files into project and mark them as “Copy always”. Add the Wind package into the source code. Pay attention to the variant name, you must use “Wind” instead of “wind”. 1: var express = require("express"); 2: var async = require("async"); 3: var sql = require("node-sqlserver"); 4: var azure = require("azure"); 5: var Wind = require("wind"); Now we need to create some async functions by using Wind. All async functions should be wrapped so that it can be controlled by Wind which are open database, retrieve records, recreate table (delete and create) and insert entity in table. Below are these new functions. All of them are created by using Wind.Async.Task.create. 1: sql.openAsync = function (connectionString) { 2: return Wind.Async.Task.create(function (t) { 3: sql.open(connectionString, function (error, conn) { 4: if (error) { 5: t.complete("failure", error); 6: } 7: else { 8: t.complete("success", conn); 9: } 10: }); 11: }); 12: }; 13:  14: sql.queryAsync = function (conn, query) { 15: return Wind.Async.Task.create(function (t) { 16: conn.queryRaw(query, function (error, results) { 17: if (error) { 18: t.complete("failure", error); 19: } 20: else { 21: t.complete("success", results); 22: } 23: }); 24: }); 25: }; 26:  27: azure.recreateTableAsync = function (tableName) { 28: return Wind.Async.Task.create(function (t) { 29: client.deleteTable(tableName, function (error, successful, response) { 30: console.log("delete table finished"); 31: client.createTableIfNotExists(tableName, function (error, successful, response) { 32: console.log("create table finished"); 33: if (error) { 34: t.complete("failure", error); 35: } 36: else { 37: t.complete("success", null); 38: } 39: }); 40: }); 41: }); 42: }; 43:  44: azure.insertEntityAsync = function (tableName, entity) { 45: return Wind.Async.Task.create(function (t) { 46: client.insertEntity(tableName, entity, function (error, entity, response) { 47: if (error) { 48: t.complete("failure", error); 49: } 50: else { 51: t.complete("success", null); 52: } 53: }); 54: }); 55: }; Then in order to use these functions we will create a new function which contains all steps for data copying. 1: var copyRecords = eval(Wind.compile("async", function (req, res) { 2: try { 3: } 4: catch (ex) { 5: console.log(ex); 6: res.send(500, "Internal error."); 7: } 8: })); Let’s execute steps one by one with the “$await” keyword introduced by Wind so that it will be invoked in sequence. First is to open the database connection. 1: var copyRecords = eval(Wind.compile("async", function (req, res) { 2: try { 3: // connect to the windows azure sql database 4: var conn = $await(sql.openAsync(connectionString)); 5: console.log("connection opened"); 6: } 7: catch (ex) { 8: console.log(ex); 9: res.send(500, "Internal error."); 10: } 11: })); Then retrieve all records from the database connection. 1: var copyRecords = eval(Wind.compile("async", function (req, res) { 2: try { 3: // connect to the windows azure sql database 4: var conn = $await(sql.openAsync(connectionString)); 5: console.log("connection opened"); 6: // retrieve all records from database 7: var results = $await(sql.queryAsync(conn, "SELECT * FROM [Resource]")); 8: console.log("records selected. count = %d", results.rows.length); 9: } 10: catch (ex) { 11: console.log(ex); 12: res.send(500, "Internal error."); 13: } 14: })); After recreated the table, we need to create the entities and insert them into table storage. 1: var copyRecords = eval(Wind.compile("async", function (req, res) { 2: try { 3: // connect to the windows azure sql database 4: var conn = $await(sql.openAsync(connectionString)); 5: console.log("connection opened"); 6: // retrieve all records from database 7: var results = $await(sql.queryAsync(conn, "SELECT * FROM [Resource]")); 8: console.log("records selected. count = %d", results.rows.length); 9: if (results.rows.length > 0) { 10: // recreate the table 11: $await(azure.recreateTableAsync(tableName)); 12: console.log("table created"); 13: // insert records in table storage one by one 14: for (var i = 0; i < results.rows.length; i++) { 15: var entity = { 16: "PartitionKey": results.rows[i][1], 17: "RowKey": results.rows[i][0], 18: "Value": results.rows[i][2] 19: }; 20: $await(azure.insertEntityAsync(tableName, entity)); 21: console.log("entity inserted"); 22: } 23: } 24: } 25: catch (ex) { 26: console.log(ex); 27: res.send(500, "Internal error."); 28: } 29: })); Finally, send response back to the browser. 1: var copyRecords = eval(Wind.compile("async", function (req, res) { 2: try { 3: // connect to the windows azure sql database 4: var conn = $await(sql.openAsync(connectionString)); 5: console.log("connection opened"); 6: // retrieve all records from database 7: var results = $await(sql.queryAsync(conn, "SELECT * FROM [Resource]")); 8: console.log("records selected. count = %d", results.rows.length); 9: if (results.rows.length > 0) { 10: // recreate the table 11: $await(azure.recreateTableAsync(tableName)); 12: console.log("table created"); 13: // insert records in table storage one by one 14: for (var i = 0; i < results.rows.length; i++) { 15: var entity = { 16: "PartitionKey": results.rows[i][1], 17: "RowKey": results.rows[i][0], 18: "Value": results.rows[i][2] 19: }; 20: $await(azure.insertEntityAsync(tableName, entity)); 21: console.log("entity inserted"); 22: } 23: // send response 24: console.log("all done"); 25: res.send(200, "All done!"); 26: } 27: } 28: catch (ex) { 29: console.log(ex); 30: res.send(500, "Internal error."); 31: } 32: })); If we compared with the previous code we will find now it became more readable and much easy to understand. It’s very easy to know what this function does even though without any comments. When user go to URL “/was/copyRecords” we will execute the function above. The code would be like this. 1: app.get("/was/copyRecords", function (req, res) { 2: copyRecords(req, res).start(); 3: }); And below is the logs printed in local compute emulator console. As we can see the functions executed one by one and then finally the response back to me browser.   Scaffold Functions in Wind Wind provides not only the async flow control and compile functions, but many scaffold methods as well. We can build our async code more easily by using them. I’m going to introduce some basic scaffold functions here. In the code above I created some functions which wrapped from the original async function such as open database, create table, etc.. All of them are very similar, created a task by using Wind.Async.Task.create, return error or result object through Task.complete function. In fact, Wind provides some functions for us to create task object from the original async functions. If the original async function only has a callback parameter, we can use Wind.Async.Binding.fromCallback method to get the task object directly. For example the code below returned the task object which wrapped the file exist check function. 1: var Wind = require("wind"); 2: var fs = require("fs"); 3:  4: fs.existsAsync = Wind.Async.Binding.fromCallback(fs.exists); In Node.js a very popular async function pattern is that, the first parameter in the callback function represent the error object, and the other parameters is the return values. In this case we can use another build-in function in Wind named Wind.Async.Binding.fromStandard. For example, the open database function can be created from the code below. 1: sql.openAsync = Wind.Async.Binding.fromStandard(sql.open); 2:  3: /* 4: sql.openAsync = function (connectionString) { 5: return Wind.Async.Task.create(function (t) { 6: sql.open(connectionString, function (error, conn) { 7: if (error) { 8: t.complete("failure", error); 9: } 10: else { 11: t.complete("success", conn); 12: } 13: }); 14: }); 15: }; 16: */ When I was testing the scaffold functions under Wind.Async.Binding I found for some functions, such as the Azure SDK insert entity function, cannot be processed correctly. So I personally suggest writing the wrapped method manually.   Another scaffold method in Wind is the parallel tasks coordination. In this example, the steps of open database, retrieve records and recreated table should be invoked one by one, but it can be executed in parallel when copying data from database to table storage. In Wind there’s a scaffold function named Task.whenAll which can be used here. Task.whenAll accepts a list of tasks and creates a new task. It will be returned only when all tasks had been completed, or any errors occurred. For example in the code below I used the Task.whenAll to make all copy operation executed at the same time. 1: var copyRecordsInParallel = eval(Wind.compile("async", function (req, res) { 2: try { 3: // connect to the windows azure sql database 4: var conn = $await(sql.openAsync(connectionString)); 5: console.log("connection opened"); 6: // retrieve all records from database 7: var results = $await(sql.queryAsync(conn, "SELECT * FROM [Resource]")); 8: console.log("records selected. count = %d", results.rows.length); 9: if (results.rows.length > 0) { 10: // recreate the table 11: $await(azure.recreateTableAsync(tableName)); 12: console.log("table created"); 13: // insert records in table storage in parallal 14: var tasks = new Array(results.rows.length); 15: for (var i = 0; i < results.rows.length; i++) { 16: var entity = { 17: "PartitionKey": results.rows[i][1], 18: "RowKey": results.rows[i][0], 19: "Value": results.rows[i][2] 20: }; 21: tasks[i] = azure.insertEntityAsync(tableName, entity); 22: } 23: $await(Wind.Async.Task.whenAll(tasks)); 24: // send response 25: console.log("all done"); 26: res.send(200, "All done!"); 27: } 28: } 29: catch (ex) { 30: console.log(ex); 31: res.send(500, "Internal error."); 32: } 33: })); 34:  35: app.get("/was/copyRecordsInParallel", function (req, res) { 36: copyRecordsInParallel(req, res).start(); 37: });   Besides the task creation and coordination, Wind supports the cancellation solution so that we can send the cancellation signal to the tasks. It also includes exception solution which means any exceptions will be reported to the caller function.   Summary In this post I introduced a Node.js module named Wind, which created by my friend Jeff Zhao. As you can see, different from other async library and framework, adopted the idea from F# and C#, Wind utilizes runtime code generation technology to make it more easily to write async, callback-based functions in a sync-style way. By using Wind there will be almost no callback, and the code will be very easy to understand. Currently Wind is still under developed and improved. There might be some problems but the author, Jeff, should be very happy and enthusiastic to learn your problems, feedback, suggestion and comments. You can contact Jeff by - Email: [email protected] - Group: https://groups.google.com/d/forum/windjs - GitHub: https://github.com/JeffreyZhao/wind/issues   Source code can be download here.   Hope this helps, Shaun All documents and related graphics, codes are provided "AS IS" without warranty of any kind. Copyright © Shaun Ziyan Xu. This work is licensed under the Creative Commons License.

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  • SSIS - XML Source Script

    - by simonsabin
    The XML Source in SSIS is great if you have a 1 to 1 mapping between entity and table. You can do more complex mapping but it becomes very messy and won't perform. What other options do you have? The challenge with XML processing is to not need a huge amount of memory. I remember using the early versions of Biztalk with loaded the whole document into memory to map from one document type to another. This was fine for small documents but was an absolute killer for large documents. You therefore need a streaming approach. For flexibility however you want to be able to generate your rows easily, and if you've ever used the XmlReader you will know its ugly code to write. That brings me on to LINQ. The is an implementation of LINQ over XML which is really nice. You can write nice LINQ queries instead of the XMLReader stuff. The downside is that by default LINQ to XML requires a whole XML document to work with. No streaming. Your code would look like this. We create an XDocument and then enumerate over a set of annoymous types we generate from our LINQ statement XDocument x = XDocument.Load("C:\\TEMP\\CustomerOrders-Attribute.xml");   foreach (var xdata in (from customer in x.Elements("OrderInterface").Elements("Customer")                        from order in customer.Elements("Orders").Elements("Order")                        select new { Account = customer.Attribute("AccountNumber").Value                                   , OrderDate = order.Attribute("OrderDate").Value }                        )) {     Output0Buffer.AddRow();     Output0Buffer.AccountNumber = xdata.Account;     Output0Buffer.OrderDate = Convert.ToDateTime(xdata.OrderDate); } As I said the downside to this is that you are loading the whole document into memory. I did some googling and came across some helpful videos from a nice UK DPE Mike Taulty http://www.microsoft.com/uk/msdn/screencasts/screencast/289/LINQ-to-XML-Streaming-In-Large-Documents.aspx. Which show you how you can combine LINQ and the XmlReader to get a semi streaming approach. I took what he did and implemented it in SSIS. What I found odd was that when I ran it I got different numbers between using the streamed and non streamed versions. I found the cause was a little bug in Mikes code that causes the pointer in the XmlReader to progress past the start of the element and thus foreach (var xdata in (from customer in StreamReader("C:\\TEMP\\CustomerOrders-Attribute.xml","Customer")                                from order in customer.Elements("Orders").Elements("Order")                                select new { Account = customer.Attribute("AccountNumber").Value                                           , OrderDate = order.Attribute("OrderDate").Value }                                ))         {             Output0Buffer.AddRow();             Output0Buffer.AccountNumber = xdata.Account;             Output0Buffer.OrderDate = Convert.ToDateTime(xdata.OrderDate);         } These look very similiar and they are the key element is the method we are calling, StreamReader. This method is what gives us streaming, what it does is return a enumerable list of elements, because of the way that LINQ works this results in the data being streamed in. static IEnumerable<XElement> StreamReader(String filename, string elementName) {     using (XmlReader xr = XmlReader.Create(filename))     {         xr.MoveToContent();         while (xr.Read()) //Reads the first element         {             while (xr.NodeType == XmlNodeType.Element && xr.Name == elementName)             {                 XElement node = (XElement)XElement.ReadFrom(xr);                   yield return node;             }         }         xr.Close();     } } This code is specifically designed to return a list of the elements with a specific name. The first Read reads the root element and then the inner while loop checks to see if the current element is the type we want. If not we do the xr.Read() again until we find the element type we want. We then use the neat function XElement.ReadFrom to read an element and all its sub elements into an XElement. This is what is returned and can be consumed by the LINQ statement. Essentially once one element has been read we need to check if we are still on the same element type and name (the inner loop) This was Mikes mistake, if we called .Read again we would advance the XmlReader beyond the start of the Element and so the ReadFrom method wouldn't work. So with the code above you can use what ever LINQ statement you like to flatten your XML into the rowsets you want. You could even have multiple outputs and generate your own surrogate keys.        

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  • COM+ Connection Pooling Doesn't Appear to be working on SQL Server 2005 Cluster

    - by kmacmahon
    We have a COM+ Data Layer that utilized Connection Pooling. Its deployed to 3 clusters, 2 SQL Server 2000 and 1 SQL Server 2005 environment. We noticed today that our monitoring software is reporting Thousands of Logins per minute on the SQL Server 2005 box. I did some tracing in both environments and profiler is reporting this for the 2000 boxes: sp_reset_connection SQL CALL sp_reset_connection SQL CALL sp_reset_connection SQL CALL and this for the 2005 box: Audit Logout sp_reset_connection Audit Login SQL CALL Audit Logout sp_reset_connection Audit Login SQL CALL Audit Logout sp_reset_connection Audit Login SQL CALL Is there some sort configuration for SQL Server 2005 different from SQL Server 2000 that we might be missing that would be creating this issue?

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  • SCOM, Server 2008 and SQL Server 2008

    - by Jacques
    Hi there, I'm trying to setup SCOM(System Center Operations Manager 2007 (SCOM) – Platform Monitoring) on my Server 2008 machine using SQL Server 2008 running on the same machine. When I check my prerequisites I get problem on SQL and Active Directory components. (I'm running SQL server 2008 and Server 2008 with active directory not installed) Errors: 1.Microsoft SQL Server 2005 Service Pack 1 required. Details: SQL Server 2005 SP1 is the next version of SQL Server. SQL Server 2005 Enterprise Edition, is a complete data and analysis platform for large mission-critical business applications. The link provided in the resolution column is a trial version of the product and is not supported by the Microsoft SQL Server team In order to install active directory needs to be present. Details:Setup failed to verify the presence of Active Directory for this server. I've got a couple of questions I need answering, hope someone can help. Do I need to install Active Directory for SCOM to work? Can I run SCOM with an SQL 2008 Database? How do I get pass these problems?

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  • Is the master database backup crucial for restoring MS SQL server in the event where you have to res

    - by Imagineer
    I have been advise by Commvault partner support to turn off the backup of the master database as the backup failed due to the log file being lock. The following is the advise given: "The message is caused by Commvault’s inability to backup the master database’s transaction log. If this is happening intermittently its possible that something is locking the transaction log, preventing SQL iData agent from accessing the log. Typically the master database is just a template and is not used by any applications (applications that do require the use of an SQL database create their own) so there should be no harm in preventing it from being backed up You can do this by nominating NOT to back it up in the primary copy for the SQL data agent" The following is the error that I get. sqlxx SQL Server/ SQLxx N/A/ System DBs 19856* (CWE) Transaction Log N/A 01/08/2010 19:00:16 (01/08/2010 19:00:18 ) 01/08/2010 19:03:15 (01/08/2010 19:03:14 ) 1.44 MB 0:01:11 0.071 2 0 1 ITD014L2 Failure Reason: • ERROR CODE [30:325]: Error encountered during backup. Error: [ERROR: [Microsoft][ODBC SQL Server Driver][SQL Server]Cannot back up the log of the master database. Use BACKUP DATABASE instead. [Microsoft][ODBC SQL Server Driver][SQL Server]BACKUP LOG is terminating abnormally.] Job Options:Create new index, Start new media, Backup all subclients, Truncation Log, Follow mount points , Backup files protected by system file protection , Stop DHCP service when backing up system state data, Stop WINS service when backing up system state data Associated Events: • 79714 [backupxx/JobManager] [01/08/2010 19:03:15 ]: Backup job [19856] completed. Client [sqlxx], Agent Type [SQL Server], Subclient [System DBs], Backup Level [Transaction Log], Objects [2], Failed [1], Duration [00:02:59], Total Size [1.44 MB], Media or Mount Path Used [ITD014L2]. • 79712 [sqlxx/SQLiDA] [01/08/2010 19:01:53 ]: Error encountered during backup. Error: [ERROR: [Microsoft][ODBC SQL Server Driver][SQL Server]Cannot back up the log of the master database. Use BACKUP DATABASE instead. [Microsoft][ODBC SQL Server Driver][SQL Server]BACKUP LOG is terminating abnormally.] • 79711 [sqlxx/SQLiDA] [01/08/2010 19:01:51 ]: Query Result [[Microsoft][ODBC SQL Server Driver][SQL Server]Cannot back up the log of the master database. Use BACKUP DATABASE instead. [Microsoft][ODBC SQL Server Driver][SQL Server]BACKUP LOG is terminating abnormally.]. • 79707 [backupxx/JobManager] [01/08/2010 19:00:15 ]: New backup request received for Client [sqlxx], iDataAgent [SQL Server], Instance [SQLxx], Subclient [System DBs], Backup Level [Transaction Log]. Files failed to back up: • Backup Database[master] Failed Please advise, thank you.

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  • SQL Server 2008 R2 - Cannot create database snapshot

    - by Chris Diver
    Server: Windows Server 2008 R2 X64 Enterprise SQL: SQL Server 2008 R2 Enterprise X64 I have a default SQL Server instance, the SQL Server service account is running as a domain user. I am trying to create a database snapshot in the directory where the mdf files are stored. The T-SQL syntax is correct. The file system is NTFS. The error message I get is: Msg 1823, Level 16, State 2, Line 1 A database snapshot cannot be created because it failed to start. Msg 5119, Level 16, State 1, Line 1 Cannot make the file "e:\MSSQL10_50.MSSQLSERVER\MSSQL\DATA\TestDB.ss" a sparse file. Make sure the file system supports sparse files. The local SQLServerMSSQLUser$db$MSSQLSERVER group has Full Control permission on the folder where I am trying to create the snapshot. I can fix the problem in two ways, neither of which are suitable. Add the SQL Server service (domain) account to the local Administrators group and restart the SQL service. Grant the local SQLServerMSSQLUser$db$MSSQLSERVER group Full control on E:\ I have tried to change the owner of the DATA directory to SQLServerMSSQLUser$db$MSSQLSERVER to no avail. I have no issue creating a new database Why can I not create a snapshot by giving permission only on the DATA folder? Update 23/09/2010: I have tried mrdenny's suggestion with no luck (but learned something new in the process), I suspect the problem may be due to the fact that the domain is a windows 2000 domain running in mixed mode. I had to install hotfix KB976494 for Server 2008 R2, as the SQL Server 2008 R2 installer would not verify the service account correctly with the domain. I noticed that Server 2000 isn't a supported operating system for SQL 2008 R2 but cannot find anything that would suggest it shouldn't work in a 2000 domain. I dis-joined the test server from the domain and changed the service accounts to the local service account and I still have the same issue. I will try to re-install the server without joining the domain and without the hotfix and see if the issue persists.

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  • Can't Connect SQL server - process being used by another process. Conflict with IIS?

    - by shinya
    I'm having problem connecting to MS SQL Server (2012 Express) after accessing a database through IIS (web site). I can access the data through web site no problem, but I can't access the data from any other programs (i.e SSMS) until I reboot the SQL server. It seems that the connection stays open even if I close a browser. Here is error message I'm getting Unable to open the physical file "C:---------". Operating system error 32: "32(The process cannot access the file because it is being used by another process.)". Unable to open the physical file "C:-------". Operating system error 32: "32(The process cannot access the file because it is being used by another process.)". Cannot open user default database. Login failed. Login failed for user 'Myserver\myname'. (.Net SqlClient Data Provider) Server Name: MYPC\SQLEXPRESS Error Number: 5120 Severity: 16 State: 101 Line Number: 65536 I follow the help link and it told me to move TCP before named pipes in the protocol order list. I tried it but it didn't help at all. What is the proper settings on SQL server or IIS in order to release process after closing a browser. How do I avoid getting this error? Thank you for your help

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  • Tricky SQL - Select non-adjacent numbers

    - by Daniel
    Given this data on SQL Server 2005: SectionID Name 1 Dan 2 Dan 4 Dan 5 Dan 2 Tom 7 Tom 9 Tom 10 Tom How would I select records where the sectionID must be +-2 or more from another section for the same name. The result would be: 1 Dan 4 Dan 2 Tom 7 Tom 9 Tom Thanks for reading!

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  • Count(*) vs Count(1)

    - by Nai
    Hi, just wondering if any of you guys use Count(1) over Count(*) and if there is a noticeable difference for SQL Server 2005 in performance? Or is this just a legacy habit that has been brought forward from days gone past?

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  • Linq To Sql Concat() dropping fields in created TSQL

    - by user191468
    This is strange. I am moving a stored proc to a service. The TSQL unions multiple selects. To replicate this I created multiple queries resulting in a common new concrete type. Then I issue a return result.ToString(); and the resulting SQL selects have varying numbers of columns specified thus causing an MSSQL Msg 205... using (var db = GetDb()) { var fundInv = from f in db.funds select new Investments { Company = f.company, FullName = f.fullname, Admin = f.admin, Fund = f.fund1, FundCode = f.fundcode, Source = STR_FUNDS, IsPortfolio = false, IsActive = f.active, Strategy = f.strategy, SubStrategy = f.substrategy, AltStrategy = f.altstrategy, AltSubStrategy = f.altsubstrategy, Region = f.region, AltRegion = f.altregion, UseAlternate = f.usealt, ClassesAllowed = f.classallowed }; var stocksInv = from s in db.stocks where !fundInv.Select(f => f.Company).Contains(s.vehcode) select new Investments { Company = s.company, FullName = s.issuer, Admin = STR_PRS, Fund = s.shortname, FundCode = s.vehcode, Source = STR_STOCK, IsPortfolio = false, IsActive = (s.inactive == null), Strategy = s.style, SubStrategy = s.substyle, AltStrategy = s.altstyle, AltSubStrategy = s.altsubsty, Region = s.geography, AltRegion = s.altgeo, UseAlternate = s.usealt, ClassesAllowed = STR_GENERIC }; var bondsInv = from oi in db.bonds where !fundInv.Select(f => f.Company).Contains(oi.vehcode) select new Investments { Company = string.Empty, FullName = oi.issue, Admin = STR_PRS1, Fund = oi.issue, FundCode = oi.vehcode, Source = STR_BONDS, IsPortfolio = false, IsActive = oi.closed, Strategy = STR_OTH, SubStrategy = STR_OTH, AltStrategy = STR_OTH, AltSubStrategy = STR_OTH, Region = STR_OTH, AltRegion = STR_OTH, UseAlternate = false, ClassesAllowed = STR_GENERIC }; return (fundInv.Concat(stocksInv).Concat(bondsInv)).ToList(); } The code above results in a complex select statement where each "table" above has different column count. (see SQL below) I've been trying a few things but no change yet. Ideas are welcome. SELECT [t6].[company] AS [Company], [t6].[fullname] AS [FullName], [t6].[admin] AS [Admin], [t6].[fund] AS [Fund], [t6].[fundcode] AS [FundCode], [t6].[value] AS [Source], [t6].[value2] AS [IsPortfolio], [t6].[active] AS [IsActive], [t6].[strategy] AS [Strategy], [t6].[substrategy] AS [SubStrategy], [t6].[altstrategy] AS [AltStrategy], [t6].[altsubstrategy] AS [AltSubStrategy], [t6].[region] AS [Region], [t6].[altregion] AS [AltRegion], [t6].[usealt] AS [UseAlternate], [t6].[classallowed] AS [ClassesAllowed] FROM ( SELECT [t3].[company], [t3].[fullname], [t3].[admin], [t3].[fund], [t3].[fundcode], [t3].[value], [t3].[value2], [t3].[active], [t3].[strategy], [t3].[substrategy], [t3].[altstrategy], [t3].[altsubstrategy], [t3].[region], [t3].[altregion], [t3].[usealt], [t3].[classallowed] FROM ( SELECT [t0].[company], [t0].[fullname], [t0].[admin], [t0].[fund], [t0].[fundcode], @p0 AS [value], [t0].[active], [t0].[strategy], [t0].[substrategy], [t0].[altstrategy], [t0].[altsubstrategy], [t0].[region], [t0].[altregion], [t0].[usealt], [t0].[classallowed] FROM [zInvest].[funds] AS [t0] UNION ALL SELECT [t1].[company], [t1].[issuer], @p6 AS [value], [t1].[shortname], [t1].[vehcode], @p7 AS [value2], @p8 AS [value3], (CASE WHEN [t1].[inactive] IS NULL THEN 1 ELSE 0 END) AS [value5], [t1].[style], [t1].[substyle], [t1].[altstyle], [t1].[altsubsty], [t1].[geography], [t1].[altgeo], [t1].[usealt], @p10 AS [value6] FROM [zBank].[stocks] AS [t1] WHERE (NOT (EXISTS( SELECT NULL AS [EMPTY] FROM [zInvest].[funds] AS [t2] WHERE [t2].[company] = [t1].[vehcode] ))) AND ([t1].[vehcode] <> @p2) AND (SUBSTRING([t1].[vehcode], @p3 + 1, @p4) <> @p5) ) AS [t3] UNION ALL SELECT @p11 AS [value], [t4].[issue], @p12 AS [value2], [t4].[vehcode], @p13 AS [value3], @p14 AS [value4], [t4].[closed], @p16 AS [value6], @p17 AS [value7] FROM [zMut].[bonds] AS [t4] WHERE NOT (EXISTS( SELECT NULL AS [EMPTY] FROM [zInvest].[funds] AS [t5] WHERE [t5].[company] = [t4].[vehcode] )) ) AS [t6]

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  • SQL last day in moth select

    - by Saif Khan
    I have the following table which is basically the summary of daily transactions and is loaded nightly. +++++++++++++++++++++++ + DateCreated + Sale + +++++++++++++++++++++++ + 20100101 + 1000 + + 20100131 + 2000 + + 20100210 + 2000 + + 20100331 + 4000 + +++++++++++++++++++++++ I need to display the sale by month, but only for the last day in each month. eg JAN 2000 FEB 0 MAR 4000 I could probably accomplish this with CASE in my select, but is this efficient? This is SQL Server 2000.

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  • sql server 2005 express

    - by Mike
    i've copy a query from view (by filtering) and when i tried to excute it, it throws an error message that says "invalid object name 'bla bla'". how can i fix it? am using windows 7(ultimate) os and sql server 2005 express.

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  • cross tab query

    - by reggie
    Hi guys, I have a project table with the following columns ProjectID, ProjectDescription and a list data table which has the following columns ProjectID ListType Date Memo Every project has many list type entries in the ListType Table. What I want to do is run a query which will return something like this ProjectID, ProjectDescription, ListType1, ListType1.date, Listtype1.Memo, ListType2, ListType2.date, ListType.Memo Againg, Every Project is coonected to a number of list type data. I am using Microsoft SQL 2000. so the Pivot keyword doesnot work

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  • MS SQL share identity seed amongst tables

    - by Net Citizen
    In MS SQL is it possible to share an identity seed across tables? For example I may have 2 tables: Table: PeopleA id name Table: PeopleB id name I'd like for PeopleA.id and PeopleB.id to always have unique values between themselves. I.e. I want them to share the same Identity seed. Note: I do not want to hear about table partitioning please, only about if it's possible to share a seed across tables.

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