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• Data Source Security Part 4

  - by Steve Felts

  So far, I have covered Client Identity and Oracle Proxy Session features, with WLS or database credentials.  This article will cover one more feature, Identify-based pooling.  Then, there is one more topic to cover - how these options play with transactions.Identity-based Connection Pooling An identity based pool creates a heterogeneous pool of connections.  This allows applications to use a JDBC connection with a specific DBMS credential by pooling physical connections with different DBMS credentials.  The DBMS credential is based on either the WebLogic user mapped to a database user or the database user directly, based on the “use database credentials” setting as described earlier. Using this feature enabled with “use database credentials” enabled seems to be what is proposed in the JDBC standard, basically a heterogeneous pool with users specified by getConnection(user, password). The allocation of connections is more complex if Enable Identity Based Connection Pooling attribute is enabled on the data source.  When an application requests a database connection, the WebLogic Server instance selects an existing physical connection or creates a new physical connection with requested DBMS identity. The following section provides information on how heterogeneous connections are created:1. At connection pool initialization, the physical JDBC connections based on the configured or default “initial capacity” are created with the configured default DBMS credential of the data source.2. An application tries to get a connection from a data source.3a. If “use database credentials” is not enabled, the user specified in getConnection is mapped to a DBMS credential, as described earlier.  If the credential map doesn’t have a matching user, the default DBMS credential is used from the datasource descriptor.3b. If “use database credentials” is enabled, the user and password specified in getConnection are used directly.4. The connection pool is searched for a connection with a matching DBMS credential.5. If a match is found, the connection is reserved and returned to the application.6. If no match is found, a connection is created or reused based on the maximum capacity of the pool: - If the maximum capacity has not been reached, a new connection is created with the DBMS credential, reserved, and returned to the application.- If the pool has reached maximum capacity, based on the least recently used (LRU) algorithm, a physical connection is selected from the pool and destroyed. A new connection is created with the DBMS credential, reserved, and returned to the application. It should be clear that finding a matching connection is more expensive than a homogeneous pool.  Destroying a connection and getting a new one is very expensive.  If you can use a normal homogeneous pool or one of the light-weight options (client identity or an Oracle proxy connection), those should be used instead of identity based pooling. Regardless of how physical connections are created, each physical connection in the pool has its own DBMS credential information maintained by the pool. Once a physical connection is reserved by the pool, it does not change its DBMS credential even if the current thread changes its WebLogic user credential and continues to use the same connection. To configure this feature, select Enable Identity Based Connection Pooling.  See http://docs.oracle.com/cd/E24329_01/apirefs.1211/e24401/taskhelp/jdbc/jdbc_datasources/EnableIdentityBasedConnectionPooling.html  "Enable identity-based connection pooling for a JDBC data source" in Oracle WebLogic Server Administration Console Help. You must make the following changes to use Logging Last Resource (LLR) transaction optimization with Identity-based Pooling to get around the problem that multiple users will be accessing the associated transaction table.- You must configure a custom schema for LLR using a fully qualified LLR table name. All LLR connections will then use the named schema rather than the default schema when accessing the LLR transaction table.  - Use database specific administration tools to grant permission to access the named LLR table to all users that could access this table via a global transaction. By default, the LLR table is created during boot by the user configured for the connection in the data source. In most cases, the database will only allow access to this user and not allow access to mapped users. Connections within Transactions Now that we have covered the behavior of all of these various options, it’s time to discuss the exception to all of the rules.  When you get a connection within a transaction, it is associated with the transaction context on a particular WLS instance. When getting a connection with a data source configured with non-XA LLR or 1PC (using the JTS driver) with global transactions, the first connection obtained within the transaction is returned on subsequent connection requests regardless of the values of username/password specified and independent of the associated proxy user session, if any. The connection must be shared among all users of the connection when using LLR or 1PC. For XA data sources, the first connection obtained within the global transaction is returned on subsequent connection requests within the application server, regardless of the values of username/password specified and independent of the associated proxy user session, if any.  The connection must be shared among all users of the connection within a global transaction within the application server/JVM.

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• Local LINQtoSQL Database For Your Windows Phone 7 Application

  - by Tim Murphy

  There aren’t many applications that are of value without having some for of data store.  In Windows Phone development we have a few options.  You can store text directly to isolated storage.  You can also use a number of third party libraries to create or mimic databases in isolated storage.  With Mango we gained the ability to have a native .NET database approach which uses LINQ to SQL.  In this article I will try to bring together the components needed to implement this last type of data store and fill in some of the blanks that I think other articles have left out. Defining A Database The first things you are going to need to do is define classes that represent your tables and a data context class that is used as the overall database definition.  The table class consists of column definitions as you would expect.  They can have relationships and constraints as with any relational DBMS.  Below is an example of a table definition. First you will need to add some assembly references to the code file. using System.ComponentModel;using System.Data.Linq;using System.Data.Linq.Mapping; You can then add the table class and its associated columns.  It needs to implement INotifyPropertyChanged and INotifyPropertyChanging.  Each level of the class needs to be decorated with the attribute appropriate for that part of the definition.  Where the class represents the table the properties represent the columns.  In this example you will see that the column is marked as a primary key and not nullable with a an auto generated value. You will also notice that the in the column property’s set method It uses the NotifyPropertyChanging and NotifyPropertyChanged methods in order to make sure that the proper events are fired. [Table]public class MyTable: INotifyPropertyChanged, INotifyPropertyChanging{ public event PropertyChangedEventHandler PropertyChanged; private void NotifyPropertyChanged(string propertyName) { if(PropertyChanged != null) { PropertyChanged(this, new PropertyChangedEventArgs(propertyName)); } } public event PropertyChangingEventHandler PropertyChanging; private void NotifyPropertyChanging(string propertyName) { if(PropertyChanging != null) { PropertyChanging(this, new PropertyChangingEventArgs(propertyName)); } } private int _TableKey; [Column(IsPrimaryKey = true, IsDbGenerated = true, DbType = "INT NOT NULL Identity", CanBeNull = false, AutoSync = AutoSync.OnInsert)] public int TableKey { get { return _TableKey; } set { NotifyPropertyChanging("TableKey"); _TableKey = value; NotifyPropertyChanged("TableKey"); } } The last part of the database definition that needs to be created is the data context.  This is a simple class that takes an isolated storage location connection string its constructor and then instantiates tables as public properties. public class MyDataContext: DataContext{ public MyDataContext(string connectionString): base(connectionString) { MyRecords = this.GetTable<MyTable>(); } public Table<MyTable> MyRecords;} Creating A New Database Instance Now that we have a database definition it is time to create an instance of the data context within our Windows Phone app.  When your app fires up it should check if the database already exists and create an instance if it does not.  I would suggest that this be part of the constructor of your ViewModel. db = new MyDataContext(connectionString);if(!db.DatabaseExists()){ db.CreateDatabase();} The next thing you have to know is how the connection string for isolated storage should be constructed.  The main sticking point I have found is that the database cannot be created unless the file mode is read/write.  You may have different connection strings but the initial one needs to be similar to the following. string connString = "Data Source = 'isostore:/MyApp.sdf'; File Mode = read write"; Using you database Now that you have done all the up front work it is time to put the database to use.  To make your life a little easier and keep proper separation between your view and your viewmodel you should add a couple of methods to the viewmodel.  These will do the CRUD work of your application.  What you will notice is that the SubmitChanges method is the secret sauce in all of the methods that change data. private myDataContext myDb;private ObservableCollection<MyTable> _viewRecords;public ObservableCollection<MyTable> ViewRecords{ get { return _viewRecords; } set { _viewRecords = value; NotifyPropertyChanged("ViewRecords"); }}public void LoadMedstarDbData(){ var tempItems = from MyTable myRecord in myDb.LocalScans select myRecord; ViewRecords = new ObservableCollection<MyTable>(tempItems);}public void SaveChangesToDb(){ myDb.SubmitChanges();}public void AddMyTableItem(MyTable newScan){ myDb.LocalScans.InsertOnSubmit(newScan); myDb.SubmitChanges();}public void DeleteMyTableItem(MyTable newScan){ myDb.LocalScans.DeleteOnSubmit(newScan); myDb.SubmitChanges();} Updating existing database What happens when you need to change the structure of your database?  Unfortunately you have to add code to your application that checks the version of the database which over time will create some pollution in your codes base.  On the other hand it does give you control of the update.  In this example you will see the DatabaseSchemaUpdater in action.  Assuming we added a “Notes” field to the MyTable structure, the following code will check if the database is the latest version and add the field if it isn’t. if(!myDb.DatabaseExists()){ myDb.CreateDatabase();}else{ DatabaseSchemaUpdater dbUdater = myDb.CreateDatabaseSchemaUpdater(); if(dbUdater.DatabaseSchemaVersion < 2) { dbUdater.AddColumn<MyTable>("Notes"); dbUdater.DatabaseSchemaVersion = 2; dbUdater.Execute(); }} Summary This approach does take a fairly large amount of work, but I think the end product is robust and very native for .NET developers.  It turns out to be worth the investment. del.icio.us Tags: Windows Phone,Windows Phone 7,LINQ to SQL,LINQ,Database,Isolated Storage

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• proper model for a multi site rails app

  - by JeffTaggarty

  Hi Guys, I am not sure if this is correct place to ask this question. My apologies if it is not. I need to create a web app where people will sign up, call it main-app.com, when they sign up my code will generate a usersite.my-app.com, they will login and only be able to manage their mini site. My question is, is it correct to model this out by creating a table for site, a table for user, users belong to site and site has many users. Then I should create a content table that belongs to user AND site? is that right? Thanks Jeff

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• Mulitple processes aware of each other

  - by Abhan

  Hope you can help me with this, I've searched a lot and I got really confused of what to do here. I'm building a program in C and I need to run it multiple time as I need. So it's going to be like below, process 1 handle all rows on DB table test where process_flag=1 process 2 handle all rows on DB table test where process_flag=2 process 3 handle all rows on DB table test where process_flag=3 and so on How can I make the processes aware of each other, so if process 3 goes down then processes 2 & 3 start working on process_flag=3?

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• DataTable to Generic List Conversion

  using System;using System.Collections.Generic;using System.Linq;using System.Data;namespace ConsoleApplication1{ class Program { static void Main(string[] args) { DataTable table = new DataTable { Columns = { {"Number", typeof(int)}, {"Name", typeof(string)} } }; //Just adding few test rows to datatable. for (int i = 1; i <= 5; i++) { table.Rows.Add(i, "Name" + i); } var returnList = from row in table.AsEnumerable() select new MyObject { Number = row.Field<int>("Number"), Name = row.Field<String>("Name") }; //Displaying converted collection foreach (MyObject item in returnList) { Console.WriteLine("{0}\t{1}", item.Number, item.Name); } } } class MyObject { public int Number { get; set; } public String Name { get; set; } }} span.fullpost {display:none;}

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• Visual C++, CMap object save to blob column

  - by ilansch

  I have a MFC CMap object, each object stores 160K~ entries of long data. I need to store it on Oracle SQL. we decided to save it as a blob. since we do not want to make additional table. we also thought about saving it as local file and point the SQL column to that file, but we rather just keep it as blob on the server and clear the table every couple of weeks. The table has a sequential key as ID, and 2 column of time. I need to add the blob column in order to store on every row that CMap. Can you recommend a guide to do so (read/write Map to blob or maybe a clob) ? Thanks.

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• wordpress login encryption

  - by tech

  I am running wordpress with woocommerce and theme_my_login plugins. When a user registers on my site it sends them a confirmation email and then they can click to activate account. Problem is when the user goes to login they get an error of incorrect password. If the user uses the forgot password link and resets the password then they can login without any errors. What might cause this problem? Is the password being encrypted with the wrong method? I went through the registration process and checked the string in the php users table. password in php table after registration: $P$BF/gIt6dFfBBuNx6rP41Qv3i71TUie1 password in php table after change password to same password: $P$BxpByDbNU3vr3sytTOcbzttp1tOodH1 Do Theme my login and either woocommerce or wordpress use different encryption methods?

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• SQL Why is prefixing column names considered bad practice?

  - by P.Brian.Mackey

  According to a popular SO post is it considered a bad practice to prefix table names. At my company every column is prefixed by a table name. This is difficult for me to read. I'm not sure the reason, but this naming is actually the company standard. I can't stand the naming convention, but I have no documentation to back up my reasoning. All I know is that reading AdventureWorks is much simpler. In this our company DB you will see a table, Person and it might have column name: Person_First_Name or maybe even Person_Person_First_Name (don't ask me why you see person 2x) Why is it considered a bad practice to pre-fix column names? Are underscores considered evil in SQL as well? Note: I own Pro SQL Server 2008 - Relation Database design and implementation. References to that book are welcome.

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• Is it better to use a Database or a data structure for network stack?

  - by poly

  I've built a multi threaded messaging application in C and I'm currently using a MySQL Memory table to save the session ID, but I'm not sure whether this was a good decision or not. It works like this, the application sends a message and saves the source session ID in the MySQL table. When the application gets the success response it will remove the session's ID from the MySQL table, or if it received an error response then it will keep the ID to be retried later. I've built it this way so that I don't need to care about building a data structure by myself, and the Database provides flexibility when it comes to querying it. Do you think this is appropriate or do I need to use something else? Please note that the application is expecting to handle a large number of transactions/sec.

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• Why is n given the initial value of 1 in this loop?

  - by notypist

  From Kochan's "Programming in C": Input: printf ("TABLE OF TRIANGULAR NUMBERS\n\n"); printf (" n Sum from 1 to n\n"); printf ("--- ---------------\n"); triangularNumber = 0; for(n=1; n<=10; ++n){ triangularNumber += n; ? printf (" %i", n); } Output (only partly pasted): TABLE OF TRIANGULAR NUMBERS n = 1 Sum from 1 to n = 1 n = 2 Sum from 1 to n = 2 Question: I understand the purpose of this, but here's what I can't get my head around: If within the loop we assign an initial value of "1" to "n", then we check if n<=10, and if that's true (which it should be with the initial value), we then add "1" to n. Shouldn't (and I know it shouldn't, just don't understand why) the initial value displayed in our table be n=2 ? Thanks in advance for your patience and effort!

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• Java?????????????????????(Java??????????????????)

  - by OTN-J Master

  8?30?(????)???????Java???????????????????????????????????? ???????????Java Community Lead?Tori Wieldt?????????????????? ??: Java Source ???: Tori Wieldt Java?????????????????????????????????·????CVE-2012-4681?????????????????????·??????????Java??? ???????????????????????????3?????????????????????????CVE-2012-4681?CVE- 2012-1682?CVE-2012-3136?CVE-2012-0547???????????????????Java??????·????? ???????????????Java???????????????Oracle????·?????????????????????? Normal 0 0 2 false false false EN-US JA X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0mm 5.4pt 0mm 5.4pt; mso-para-margin-top:0mm; mso-para-margin-right:0mm; mso-para-margin-bottom:auto; mso-para-margin-left:0mm; text-align:justify; text-justify:inter-ideograph; mso-pagination:widow-orphan; font-size:10.5pt; mso-bidi-font-size:11.0pt; font-family:"Century","serif"; mso-ascii-font-family:Century; mso-ascii-theme-font:minor-latin; mso-hansi-font-family:Century; mso-hansi-theme-font:minor-latin; mso-font-kerning:1.0pt;} Normal 0 0 2 false false false EN-US JA X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0mm 5.4pt 0mm 5.4pt; mso-para-margin-top:0mm; mso-para-margin-right:0mm; mso-para-margin-bottom:auto; mso-para-margin-left:0mm; text-align:justify; text-justify:inter-ideograph; mso-pagination:widow-orphan; font-size:10.5pt; mso-bidi-font-size:11.0pt; font-family:"Century","serif"; mso-ascii-font-family:Century; mso-ascii-theme-font:minor-latin; mso-hansi-font-family:Century; mso-hansi-theme-font:minor-latin; mso-font-kerning:1.0pt;} ??????????????????????????????CVE-2012-4681??????????????????????????????????????????·???????????????????????????? Normal 0 0 2 false false false EN-US JA X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0mm 5.4pt 0mm 5.4pt; mso-para-margin-top:0mm; mso-para-margin-right:0mm; mso-para-margin-bottom:auto; mso-para-margin-left:0mm; text-align:justify; text-justify:inter-ideograph; mso-pagination:widow-orphan; font-size:10.5pt; mso-bidi-font-size:11.0pt; font-family:"Century","serif"; mso-ascii-font-family:Century; mso-ascii-theme-font:minor-latin; mso-hansi-font-family:Century; mso-hansi-theme-font:minor-latin; mso-font-kerning:1.0pt;} ????????????????????????????????? http://www.oracle.com/technetwork/jp/java/javase/downloads/index.html Java?????????????????????JRE?????????????? http://java.com Windows??????????????????????????? Java Automatic Update JUG???????John Yeary?????????????????????????????????????????????????????????????????????????????????? ??????????????????? ???? Oracle Security Alert for CVE-2012-4681 Change to Java SE 7 and Java SE 6 Update Release Numbers

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• How to add new filters to CAML queries in SharePoint 2007

  - by uruit

  Normal 0 21 false false false ES-UY X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin-top:0cm; mso-para-margin-right:0cm; mso-para-margin-bottom:10.0pt; mso-para-margin-left:0cm; line-height:115%; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;} One flexibility SharePoint has is CAML (Collaborative Application Markup Language). CAML it’s a markup language like html that allows developers to do queries against SharePoint lists, it’s syntax is very easy to understand and it allows to add logical conditions like Where, Contains, And, Or, etc, just like a SQL Query. For one of our projects we have the need to do a filter on SharePoint views, the problem here is that the view it’s a list containing a CAML Query with the filters the view may have, so in order to filter the view that’s already been filtered before, we need to append our filters to the existing CAML Query. That’s not a trivial task because the where statement in a CAML Query it’s like this: <Where>   <And>     <Filter1 />     <Filter2 />   </And> </Where> If we want to add a new logical operator, like an OR it’s not just as simple as to append the OR expression like the following example: <Where>   <And>     <Filter1 />     <Filter2 />   </And>   <Or>     <Filter3 />   </Or> </Where> But instead the correct query would be: <Where>   <Or>     <And>       <Filter1 />       <Filter2 />     </And>     <Filter3 />   </Or> </Where> Notice that the <Filter# /> tags are for explanation purpose only. In order to solve this problem we created a simple component, it has a method that receives the current query (could be an empty query also) and appends the expression you want to that query. Example: string currentQuery = @“ <Where>    <And>     <Contains><FieldRef Name='Title' /><Value Type='Text'>A</Value></Contains>     <Contains><FieldRef Name='Title' /><Value Type='Text'>B</Value></Contains>   </And> </Where>”; currentQuery = CAMLQueryBuilder.AppendQuery(     currentQuery,     “<Contains><FieldRef Name='Title' /><Value Type='Text'>C</Value></Contains>”,     CAMLQueryBuilder.Operators.Or); The fist parameter this function receives it’s the actual query, the second it’s the filter you want to add, and the third it’s the logical operator, so basically in this query we want all the items that the title contains: the character A and B or the ones that contains the character C. The result query is: <Where>   <Or>      <And>       <Contains><FieldRef Name='Title' /><Value Type='Text'>A</Value></Contains>       <Contains><FieldRef Name='Title' /><Value Type='Text'>B</Value></Contains>     </And>     <Contains><FieldRef Name='Title' /><Value Type='Text'>C</Value></Contains>   </Or> </Where>     The code:   First of all we have an enumerator inside the CAMLQueryBuilder class that has the two possible Options And, Or. public enum Operators { And, Or }   Then we have the main method that’s the one that performs the append of the filters. public static string AppendQuery(string containerQuery, string logicalExpression, Operators logicalOperator){   In this method the first we do is create a new XmlDocument and wrap the current query (that may be empty) with a “<Query></Query>” tag, because the query that comes with the view doesn’t have a root element and the XmlDocument must be a well formatted xml.   XmlDocument queryDoc = new XmlDocument(); queryDoc.LoadXml("<Query>" + containerQuery + "</Query>");   The next step is to create a new XmlDocument containing the logical expression that has the filter needed.   XmlDocument logicalExpressionDoc = new XmlDocument(); logicalExpressionDoc.LoadXml("<root>" + logicalExpression + "</root>"); In these next four lines we extract the expression from the recently created XmlDocument and create an XmlElement.                  XmlElement expressionElTemp = (XmlElement)logicalExpressionDoc.SelectSingleNode("/root/*"); XmlElement expressionEl = queryDoc.CreateElement(expressionElTemp.Name); expressionEl.InnerXml = expressionElTemp.InnerXml;   Below are the main steps in the component logic. The first “if” checks if the actual query doesn’t contains a “Where” clause. In case there’s no “Where” we add it and append the expression.   In case that there’s already a “Where” clause, we get the entire statement that’s inside the “Where” and reorder the query removing and appending elements to form the correct query, that will finally filter the list.   XmlElement whereEl; if (!containerQuery.Contains("Where")) { queryDoc.FirstChild.AppendChild(queryDoc.CreateElement("Where")); queryDoc.SelectSingleNode("/Query/Where").AppendChild(expressionEl); } else { whereEl = (XmlElement)queryDoc.SelectSingleNode("/Query/Where"); if (!containerQuery.Contains("<And>") &&                 !containerQuery.Contains("<Or>"))        {              XmlElement operatorEl = queryDoc.CreateElement(GetName(logicalOperator)); XmlElement existingExpression = (XmlElement)whereEl.SelectSingleNode("/Query/Where/*"); whereEl.RemoveChild(existingExpression);                 operatorEl.AppendChild(existingExpression);               operatorEl.AppendChild(expressionEl);                 whereEl.AppendChild(operatorEl);        }        else        {              XmlElement operatorEl = queryDoc.CreateElement(GetName(logicalOperator)); XmlElement existingOperator = (XmlElement)whereEl.SelectSingleNode("/Query/Where/*");                 whereEl.RemoveChild(existingOperator);               operatorEl.AppendChild(existingOperator);               operatorEl.AppendChild(expressionEl);                 whereEl.AppendChild(operatorEl);         }  }  return queryDoc.FirstChild.InnerXml }     Finally the GetName method converts the Enum option to his string equivalent.   private static string GetName(Operators logicalOperator) {       return Enum.GetName(typeof(Operators), logicalOperator); }        Normal 0 21 false false false ES-UY X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin-top:0cm; mso-para-margin-right:0cm; mso-para-margin-bottom:10.0pt; mso-para-margin-left:0cm; line-height:115%; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;} Normal 0 21 false false false ES-UY X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin-top:0cm; mso-para-margin-right:0cm; mso-para-margin-bottom:10.0pt; mso-para-margin-left:0cm; line-height:115%; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;} This component helped our team a lot using SharePoint 2007 and modifying the queries, but now in SharePoint 2010; that wouldn’t be needed because of the incorporation of LINQ to SharePoint. This new feature enables the developers to do typed queries against SharePoint lists without the need of writing any CAML code.  But there is still much development to the 2007 version, so I hope this information is useful for other members.  Post Normal 0 21 false false false ES-UY X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin:0cm; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi; mso-fareast-language:EN-US;} written by Sebastian Rodriguez - Portals and Collaboration Solutions @ UruIT

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• Simple GET operation with JSON data in ADF Mobile

  - by PadmajaBhat

  Usecase: This sample uses a RESTful service which contains a GET method that fetches employee details for an employee with given employee ID along with other methods. The data is fetched in JSON format. This RESTful service is then invoked via ADF Mobile and the JSON data thus obtained is parsed and rendered in mobile in a table. Prerequisite: Download JDev build JDEVADF_11.1.2.4.0_GENERIC_130421.1600.6436.1 or higher with mobile support.  Steps: Run EmployeeService.java in JSONService.zip. This is a simple service with a method, getEmpById(id) that takes employee ID as parameter and produces employee details in JSON format. Copy the target URL generated on running this service. The target URL will be as shown below: http://127.0.0.1:7101/JSONService-Project1-context-root/jersey/project1 Now, let us invoke this service in our mobile application. For this, create an ADF Mobile application.  Name the application JSON_SearchByEmpID and finish the wizard. Now, let us create a connection to our service. To do this, we create a URL Connection. Invoke new gallery wizard on ApplicationController project.  Select URL Connection option. In the Create URL Connection window, enter connection name as ‘conn’. For URL endpoint, supply the URL you copied earlier on running the service. Remember to use your system IP instead of localhost. Test the connection and click OK. At this point, a connection to the REST service has been created. Since JSON data is not supported directly in WSDC wizard, we need to invoke the operation through Java code using RestServiceAdapter. For this, in the ApplicationController project, create a Java class called ‘EmployeeDC’. We will be creating DC from this class. Add the following code to the newly created class to invoke the getEmpById method. 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 public Employee fetchEmpDetails(){ RestServiceAdapter restServiceAdapter = Model.createRestServiceAdapter(); restServiceAdapter.clearRequestProperties(); restServiceAdapter.setConnectionName("conn"); //URL connection created with this name restServiceAdapter.setRequestType(RestServiceAdapter.REQUEST_TYPE_GET); restServiceAdapter.addRequestProperty("Content-Type", "application/json"); restServiceAdapter.addRequestProperty("Accept", "application/json; charset=UTF-8"); restServiceAdapter.setRetryLimit(0); restServiceAdapter.setRequestURI("/getById/"+inputEmpID); String response = ""; JSONBeanSerializationHelper jsonHelper = new JSONBeanSerializationHelper(); try { response = restServiceAdapter.send(""); //Invoke the GET operation System.out.println("Response received!"); Employee responseObject = (Employee) jsonHelper.fromJSON(Employee.class, response); return responseObject; } catch (Exception e) { } return null; } Here, in lines 2 to 9, we create the RestServiceAdapter and set various properties required to invoke the web service. At line 4, we are pointing to the connection ‘conn’ created previously. Since we want to invoke getEmpById method of the service, which is defined by the URL http://IP:7101/REST_Sanity_JSON-Project1-context-root/resources/project1/getById/{id} we are updating the request URI to point to this URI at line 9. inputEmpID is a variable that will hold the value input by the user for employee ID. This we will be creating in a while. As the method we are invoking is a GET operation and consumes json data, these properties are being set in lines 5 through 7. Finally, we are sending the request in line 13. In line 15, we use jsonHelper.fromJSON to convert received JSON data to a Java object. The required Java objects' structure is defined in class Employee.java whose structure is provided later. Since the response from our service is a simple response consisting of attributes like employee Id, name, design etc, we will just return this parsed response (line 16) and use it to create DC. As mentioned previously, we would like the user to input the employee ID for which he/she wants to perform search. So, in the same class, define a variable inputEmpID which will hold the value input by the user. Generate accessors for this variable. Lastly, we need to create Employee class. Employee class will define how we want to structure the JSON object received from the service. To design the Employee class, run the services’ method in the browser or via analyzer using path parameter as 1. This will give you the output JSON structure. Ours is a simple service that returns a JSONObject with a set of data. Hence, Employee class will just contain this set of data defined with the proper data types. Create Employee.java in the same project as EmployeeDC.java and write the below code: package application; import oracle.adfmf.java.beans.PropertyChangeListener; import oracle.adfmf.java.beans.PropertyChangeSupport; public class Employee { private String dept; private String desig; private int id; private String name; private int salary; private PropertyChangeSupport propertyChangeSupport = new PropertyChangeSupport(this); public void setDept(String dept) {         String oldDept = this.dept; this.dept = dept; propertyChangeSupport.firePropertyChange("dept", oldDept, dept); } public String getDept() { return dept; } public void setDesig(String desig) { String oldDesig = this.desig; this.desig = desig; propertyChangeSupport.firePropertyChange("desig", oldDesig, desig); } public String getDesig() { return desig; } public void setId(int id) { int oldId = this.id; this.id = id; propertyChangeSupport.firePropertyChange("id", oldId, id); } public int getId() { return id; } public void setName(String name) { String oldName = this.name; this.name = name; propertyChangeSupport.firePropertyChange("name", oldName, name); } public String getName() { return name; } public void setSalary(int salary) { int oldSalary = this.salary; this.salary = salary; propertyChangeSupport.firePropertyChange("salary", oldSalary, salary); } public int getSalary() { return salary; } public void addPropertyChangeListener(PropertyChangeListener l) { propertyChangeSupport.addPropertyChangeListener(l); } public void removePropertyChangeListener(PropertyChangeListener l) { propertyChangeSupport.removePropertyChangeListener(l);     } } Now, let us create a DC out of EmployeeDC.java.  DC as shown below is created. Now, you can design the mobile page as usual and invoke the operation of the service. To design the page, go to ViewController project and locate adfmf-feature.xml. Create a new feature called ‘SearchFeature’ by clicking the plus icon. Go the content tab and add an amx page. Call it SearchPage.amx. Call it SearchPage.amx. Remove primary and secondary buttons as we don’t need them and rename the header. Drag and drop inputEmpID from the DC palette onto Panel Page in the structure pane as input text with label. Next, drop fetchEmpDetails method as an ADF button. For a change, let us display the output in a table component instead of the usual form. However, you will notice that if you drag and drop Employee onto the structure pane, there is no option for ADF Mobile Table. Hence, we will need to create the table on our own. To do this, let us first drop Employee as an ADF Read -Only form. This step is needed to get the required bindings. We will be deleting this form in a while. Now, from the Component palette, search for ‘Table Layout’. Drag and drop this below the command button.  Within the tablelayout, insert ‘Row Layout’ and ‘Cell Format’ components. Final table structure should be as shown below. Here, we have also defined some inline styling to render the UI in a nice manner. <amx:tableLayout id="tl1" borderWidth="2" halign="center" inlineStyle="vertical-align:middle;" width="100%" cellPadding="10"> <amx:rowLayout id="rl1" > <amx:cellFormat id="cf1" width="30%"> <amx:outputText value="#{bindings.dept.hints.label}" id="ot7" inlineStyle="color:rgb(0,148,231);"/> </amx:cellFormat> <amx:cellFormat id="cf2"> <amx:outputText value="#{bindings.dept.inputValue}" id="ot8" /> </amx:cellFormat> </amx:rowLayout> <amx:rowLayout id="rl2"> <amx:cellFormat id="cf3" width="30%"> <amx:outputText value="#{bindings.desig.hints.label}" id="ot9" inlineStyle="color:rgb(0,148,231);"/> </amx:cellFormat> <amx:cellFormat id="cf4" > <amx:outputText value="#{bindings.desig.inputValue}" id="ot10"/> </amx:cellFormat> </amx:rowLayout> <amx:rowLayout id="rl3"> <amx:cellFormat id="cf5" width="30%"> <amx:outputText value="#{bindings.id.hints.label}" id="ot11" inlineStyle="color:rgb(0,148,231);"/> </amx:cellFormat> <amx:cellFormat id="cf6" > <amx:outputText value="#{bindings.id.inputValue}" id="ot12"/> </amx:cellFormat> </amx:rowLayout> <amx:rowLayout id="rl4"> <amx:cellFormat id="cf7" width="30%"> <amx:outputText value="#{bindings.name.hints.label}" id="ot13" inlineStyle="color:rgb(0,148,231);"/> </amx:cellFormat> <amx:cellFormat id="cf8"> <amx:outputText value="#{bindings.name.inputValue}" id="ot14"/> </amx:cellFormat> </amx:rowLayout> <amx:rowLayout id="rl5"> <amx:cellFormat id="cf9" width="30%"> <amx:outputText value="#{bindings.salary.hints.label}" id="ot15" inlineStyle="color:rgb(0,148,231);"/> </amx:cellFormat> <amx:cellFormat id="cf10"> <amx:outputText value="#{bindings.salary.inputValue}" id="ot16"/> </amx:cellFormat> </amx:rowLayout>     </amx:tableLayout> The values used in the output text of the table come from the bindings obtained from the ADF Form created earlier. As we have used the bindings and don’t need the form anymore, let us delete the form.  One last thing before we deploy. When user changes employee ID, we want to clear the table contents. For this we associate a value change listener with the input text box. Click New in the resulting dialog to create a managed bean. Next, we create a method within the managed bean. For this, click on the New button associated with method. Call the method ‘empIDChange’. Open myClass.java and write the below code in empIDChange(). public void empIDChange(ValueChangeEvent valueChangeEvent) { // Add event code here... //Resetting the values to blank values when employee id changes AdfELContext adfELContext = AdfmfJavaUtilities.getAdfELContext(); ValueExpression ve = AdfmfJavaUtilities.getValueExpression("#{bindings.dept.inputValue}", String.class); ve.setValue(adfELContext, ""); ve = AdfmfJavaUtilities.getValueExpression("#{bindings.desig.inputValue}", String.class); ve.setValue(adfELContext, ""); ve = AdfmfJavaUtilities.getValueExpression("#{bindings.id.inputValue}", int.class); ve.setValue(adfELContext, ""); ve = AdfmfJavaUtilities.getValueExpression("#{bindings.name.inputValue}", String.class); ve.setValue(adfELContext, ""); ve = AdfmfJavaUtilities.getValueExpression("#{bindings.salary.inputValue}", int.class); ve.setValue(adfELContext, ""); } That’s it. Deploy the application to android emulator or device. Some snippets from the app.

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• High Load mysql on Debian server stops every day. Why?

  - by Oleg Abrazhaev

  I have Debian server with 32 gb memory. And there is apache2, memcached and nginx on this server. Memory load always on maximum. Only 500m free. Most memory leak do MySql. Apache only 70 clients configured, other services small memory usage. When mysql use all memory it stops. And nothing works, need mysql reboot. Mysql configured use maximum 24 gb memory. I have hight weight InnoDB bases. (400000 rows, 30 gb). And on server multithread daemon, that makes many inserts in this tables, thats why InnoDB. There is my mysql config. [mysqld] # # * Basic Settings # default-time-zone = "+04:00" user = mysql pid-file = /var/run/mysqld/mysqld.pid socket = /var/run/mysqld/mysqld.sock port = 3306 basedir = /usr datadir = /var/lib/mysql tmpdir = /tmp language = /usr/share/mysql/english skip-external-locking default-time-zone='Europe/Moscow' # # Instead of skip-networking the default is now to listen only on # localhost which is more compatible and is not less secure. # # * Fine Tuning # #low_priority_updates = 1 concurrent_insert = ALWAYS wait_timeout = 600 interactive_timeout = 600 #normal key_buffer_size = 2024M #key_buffer_size = 1512M #70% hot cache key_cache_division_limit= 70 #16-32 max_allowed_packet = 32M #1-16M thread_stack = 8M #40-50 thread_cache_size = 50 #orderby groupby sort sort_buffer_size = 64M #same myisam_sort_buffer_size = 400M #temp table creates when group_by tmp_table_size = 3000M #tables in memory max_heap_table_size = 3000M #on disk open_files_limit = 10000 table_cache = 10000 join_buffer_size = 5M # This replaces the startup script and checks MyISAM tables if needed # the first time they are touched myisam-recover = BACKUP #myisam_use_mmap = 1 max_connections = 200 thread_concurrency = 8 # # * Query Cache Configuration # #more ignored query_cache_limit = 50M query_cache_size = 210M #on query cache query_cache_type = 1 # # * Logging and Replication # # Both location gets rotated by the cronjob. # Be aware that this log type is a performance killer. #log = /var/log/mysql/mysql.log # # Error logging goes to syslog. This is a Debian improvement :) # # Here you can see queries with especially long duration log_slow_queries = /var/log/mysql/mysql-slow.log long_query_time = 1 log-queries-not-using-indexes # # The following can be used as easy to replay backup logs or for replication. # note: if you are setting up a replication slave, see README.Debian about # other settings you may need to change. #server-id = 1 #log_bin = /var/log/mysql/mysql-bin.log server-id = 1 log-bin = /var/lib/mysql/mysql-bin #replicate-do-db = gate log-bin-index = /var/lib/mysql/mysql-bin.index log-error = /var/lib/mysql/mysql-bin.err relay-log = /var/lib/mysql/relay-bin relay-log-info-file = /var/lib/mysql/relay-bin.info relay-log-index = /var/lib/mysql/relay-bin.index binlog_do_db = 24avia expire_logs_days = 10 max_binlog_size = 100M read_buffer_size = 4024288 innodb_buffer_pool_size = 5000M innodb_flush_log_at_trx_commit = 2 innodb_thread_concurrency = 8 table_definition_cache = 2000 group_concat_max_len = 16M #binlog_do_db = gate #binlog_ignore_db = include_database_name # # * BerkeleyDB # # Using BerkeleyDB is now discouraged as its support will cease in 5.1.12. #skip-bdb # # * InnoDB # # InnoDB is enabled by default with a 10MB datafile in /var/lib/mysql/. # Read the manual for more InnoDB related options. There are many! # You might want to disable InnoDB to shrink the mysqld process by circa 100MB. #skip-innodb # # * Security Features # # Read the manual, too, if you want chroot! # chroot = /var/lib/mysql/ # # For generating SSL certificates I recommend the OpenSSL GUI "tinyca". # # ssl-ca=/etc/mysql/cacert.pem # ssl-cert=/etc/mysql/server-cert.pem # ssl-key=/etc/mysql/server-key.pem [mysqldump] quick quote-names max_allowed_packet = 500M [mysql] #no-auto-rehash # faster start of mysql but no tab completition [isamchk] key_buffer = 32M key_buffer_size = 512M # # * NDB Cluster # # See /usr/share/doc/mysql-server-*/README.Debian for more information. # # The following configuration is read by the NDB Data Nodes (ndbd processes) # not from the NDB Management Nodes (ndb_mgmd processes). # # [MYSQL_CLUSTER] # ndb-connectstring=127.0.0.1 # # * IMPORTANT: Additional settings that can override those from this file! # The files must end with '.cnf', otherwise they'll be ignored. # !includedir /etc/mysql/conf.d/ Please, help me make it stable. Memory used /etc/mysql # free total used free shared buffers cached Mem: 32930800 32766424 164376 0 139208 23829196 -/+ buffers/cache: 8798020 24132780 Swap: 33553328 44660 33508668 Maybe my problem not in memory, but MySQL stops every day. As you can see, cache memory free 24 gb. Thank to Michael Hampton? for correction. Load overage on server 3.5. Maybe hdd or another problem? Maybe my config not optimal for 30gb InnoDB ? I'm already try mysqltuner and tunung-primer.sh , but they marked all green. Mysqltuner output mysqltuner >> MySQLTuner 1.0.1 - Major Hayden <[email protected]> >> Bug reports, feature requests, and downloads at http://mysqltuner.com/ >> Run with '--help' for additional options and output filtering -------- General Statistics -------------------------------------------------- [--] Skipped version check for MySQLTuner script [OK] Currently running supported MySQL version 5.5.24-9-log [OK] Operating on 64-bit architecture -------- Storage Engine Statistics ------------------------------------------- [--] Status: -Archive -BDB -Federated +InnoDB -ISAM -NDBCluster [--] Data in MyISAM tables: 112G (Tables: 1528) [--] Data in InnoDB tables: 39G (Tables: 340) [--] Data in PERFORMANCE_SCHEMA tables: 0B (Tables: 17) [!!] Total fragmented tables: 344 -------- Performance Metrics ------------------------------------------------- [--] Up for: 8h 18m 33s (14M q [478.333 qps], 259K conn, TX: 9B, RX: 5B) [--] Reads / Writes: 84% / 16% [--] Total buffers: 10.5G global + 81.1M per thread (200 max threads) [OK] Maximum possible memory usage: 26.3G (83% of installed RAM) [OK] Slow queries: 1% (259K/14M) [!!] Highest connection usage: 100% (201/200) [OK] Key buffer size / total MyISAM indexes: 1.5G/5.6G [OK] Key buffer hit rate: 100.0% (6B cached / 1M reads) [OK] Query cache efficiency: 74.3% (8M cached / 11M selects) [OK] Query cache prunes per day: 0 [OK] Sorts requiring temporary tables: 0% (0 temp sorts / 247K sorts) [!!] Joins performed without indexes: 106025 [!!] Temporary tables created on disk: 49% (351K on disk / 715K total) [OK] Thread cache hit rate: 99% (249 created / 259K connections) [!!] Table cache hit rate: 15% (2K open / 13K opened) [OK] Open file limit used: 15% (3K/20K) [OK] Table locks acquired immediately: 99% (4M immediate / 4M locks) [!!] InnoDB data size / buffer pool: 39.4G/5.9G -------- Recommendations ----------------------------------------------------- General recommendations: Run OPTIMIZE TABLE to defragment tables for better performance MySQL started within last 24 hours - recommendations may be inaccurate Reduce or eliminate persistent connections to reduce connection usage Adjust your join queries to always utilize indexes Temporary table size is already large - reduce result set size Reduce your SELECT DISTINCT queries without LIMIT clauses Increase table_cache gradually to avoid file descriptor limits Variables to adjust: max_connections (> 200) wait_timeout (< 600) interactive_timeout (< 600) join_buffer_size (> 5.0M, or always use indexes with joins) table_cache (> 10000) innodb_buffer_pool_size (>= 39G) Mysql primer output -- MYSQL PERFORMANCE TUNING PRIMER -- - By: Matthew Montgomery - MySQL Version 5.5.24-9-log x86_64 Uptime = 0 days 8 hrs 20 min 50 sec Avg. qps = 478 Total Questions = 14369568 Threads Connected = 16 Warning: Server has not been running for at least 48hrs. It may not be safe to use these recommendations To find out more information on how each of these runtime variables effects performance visit: http://dev.mysql.com/doc/refman/5.5/en/server-system-variables.html Visit http://www.mysql.com/products/enterprise/advisors.html for info about MySQL's Enterprise Monitoring and Advisory Service SLOW QUERIES The slow query log is enabled. Current long_query_time = 1.000000 sec. You have 260626 out of 14369701 that take longer than 1.000000 sec. to complete Your long_query_time seems to be fine BINARY UPDATE LOG The binary update log is enabled Binlog sync is not enabled, you could loose binlog records during a server crash WORKER THREADS Current thread_cache_size = 50 Current threads_cached = 45 Current threads_per_sec = 0 Historic threads_per_sec = 0 Your thread_cache_size is fine MAX CONNECTIONS Current max_connections = 200 Current threads_connected = 11 Historic max_used_connections = 201 The number of used connections is 100% of the configured maximum. You should raise max_connections INNODB STATUS Current InnoDB index space = 214 M Current InnoDB data space = 39.40 G Current InnoDB buffer pool free = 0 % Current innodb_buffer_pool_size = 5.85 G Depending on how much space your innodb indexes take up it may be safe to increase this value to up to 2 / 3 of total system memory MEMORY USAGE Max Memory Ever Allocated : 23.46 G Configured Max Per-thread Buffers : 15.84 G Configured Max Global Buffers : 7.54 G Configured Max Memory Limit : 23.39 G Physical Memory : 31.40 G Max memory limit seem to be within acceptable norms KEY BUFFER Current MyISAM index space = 5.61 G Current key_buffer_size = 1.47 G Key cache miss rate is 1 : 5578 Key buffer free ratio = 77 % Your key_buffer_size seems to be fine QUERY CACHE Query cache is enabled Current query_cache_size = 200 M Current query_cache_used = 101 M Current query_cache_limit = 50 M Current Query cache Memory fill ratio = 50.59 % Current query_cache_min_res_unit = 4 K MySQL won't cache query results that are larger than query_cache_limit in size SORT OPERATIONS Current sort_buffer_size = 64 M Current read_rnd_buffer_size = 256 K Sort buffer seems to be fine JOINS Current join_buffer_size = 5.00 M You have had 106606 queries where a join could not use an index properly You have had 8 joins without keys that check for key usage after each row join_buffer_size >= 4 M This is not advised You should enable "log-queries-not-using-indexes" Then look for non indexed joins in the slow query log. OPEN FILES LIMIT Current open_files_limit = 20210 files The open_files_limit should typically be set to at least 2x-3x that of table_cache if you have heavy MyISAM usage. Your open_files_limit value seems to be fine TABLE CACHE Current table_open_cache = 10000 tables Current table_definition_cache = 2000 tables You have a total of 1910 tables You have 2151 open tables. The table_cache value seems to be fine TEMP TABLES Current max_heap_table_size = 2.92 G Current tmp_table_size = 2.92 G Of 366426 temp tables, 49% were created on disk Perhaps you should increase your tmp_table_size and/or max_heap_table_size to reduce the number of disk-based temporary tables Note! BLOB and TEXT columns are not allow in memory tables. If you are using these columns raising these values might not impact your ratio of on disk temp tables. TABLE SCANS Current read_buffer_size = 3 M Current table scan ratio = 2846 : 1 read_buffer_size seems to be fine TABLE LOCKING Current Lock Wait ratio = 1 : 185 You may benefit from selective use of InnoDB. If you have long running SELECT's against MyISAM tables and perform frequent updates consider setting 'low_priority_updates=1'

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• RFC 1918 address on open internet?

  - by longneck

  In trying to diagnose a failover problem with my Cisco ASA 5520 firewalls, I ran a traceroute to www.btfl.com and, much to my surprise, some of the hops came back as RFC 1918 addresses. Just to be clear, this host is not behind my firewall and there is no VPN involved. I have to connect across the open internet to get there. How/why is this possible? asa# traceroute www.btfl.com Tracing the route to 157.56.176.94 1 <redacted> 2 <redacted> 3 <redacted> 4 <redacted> 5 nap-edge-04.inet.qwest.net (67.14.29.170) 0 msec 10 msec 10 msec 6 65.122.166.30 0 msec 0 msec 10 msec 7 207.46.34.23 10 msec 0 msec 10 msec 8 * * * 9 207.46.37.235 30 msec 30 msec 50 msec 10 10.22.112.221 30 msec 10.22.112.219 30 msec 10.22.112.223 30 msec 11 10.175.9.193 30 msec 30 msec 10.175.9.67 30 msec 12 100.94.68.79 40 msec 100.94.70.79 30 msec 100.94.71.73 30 msec 13 100.94.80.39 30 msec 100.94.80.205 40 msec 100.94.80.137 40 msec 14 10.215.80.2 30 msec 10.215.68.16 30 msec 10.175.244.2 30 msec 15 * * * 16 * * * 17 * * * and it does the same thing from my FiOS connection at home: C:\>tracert www.btfl.com Tracing route to www.btfl.com [157.56.176.94] over a maximum of 30 hops: 1 1 ms <1 ms <1 ms myrouter.home [192.168.1.1] 2 8 ms 7 ms 8 ms <redacted> 3 10 ms 13 ms 11 ms <redacted> 4 12 ms 10 ms 10 ms ae2-0.TPA01-BB-RTR2.verizon-gni.net [130.81.199.82] 5 16 ms 16 ms 15 ms 0.ae4.XL2.MIA19.ALTER.NET [152.63.8.117] 6 14 ms 16 ms 16 ms 0.xe-11-0-0.GW1.MIA19.ALTER.NET [152.63.85.94] 7 19 ms 16 ms 16 ms microsoft-gw.customer.alter.net [63.65.188.170] 8 27 ms 33 ms * ge-5-3-0-0.ash-64cb-1a.ntwk.msn.net [207.46.46.177] 9 * * * Request timed out. 10 44 ms 43 ms 43 ms 207.46.37.235 11 42 ms 41 ms 40 ms 10.22.112.225 12 42 ms 43 ms 43 ms 10.175.9.1 13 42 ms 41 ms 42 ms 100.94.68.79 14 40 ms 40 ms 41 ms 100.94.80.193 15 * * * Request timed out.

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• How to create a database in Oracle8 Lite with Developer 2000 ?

  - by Tareq

  Hi all, I am new in Oracle. I install Oracle 8 Lite with Developer 2000. Now I want to create a database for me. For that I open Oracle8 Navigator and Create a database which user is system. But in Oracle SQL*Plus I can not communicate with the database. Or even after creating a table using Oracle8 Navigator I can't alter the table. Please tell me how can I alter my table?

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• MySQL: how to convert many MyISAM tables to InnoDB in a production database?

  - by Continuation

  We have a production database that is made up entirely of MyISAM tables. We are considering converting them to InnoDB to gain better concurrency & reliability. Can I just alter the myISAM tables to InnoDB without shutting down MySQL? What are the recommend procedures here? How long will such a conversion take? All the tables have a total size of about 700MB There are quite a large number of tables. Is there any way to apply ALTER TABLE to all the MyISAM tables at once instead of doing it one by one? Any pitfalls I need to be aware of? Thank you

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• Who benefits from the use of Design Patterns?

  Who benefits from the use of design patterns is like asking who benefits from clean air or a good education. All of the stakeholders of a project benefit from the use of design patterns. Project Sponsor Project sponsors benefit from the use of design patterns because they promote reduced development time which translates in to shorter project timelines and greater return on investment compared to other projects that do not make use of design patterns. Project Manager Project managers benefit from the use of design patterns because they reduce the amount of time needed to design a system, and typically the sub components of the system already have a proven track record. System Architect/Engineer System architects/engineers benefit from the use of design patterns because reduce the amount of time needed to design the core a system. The additional time is used to alter the design pattern through the use of innovative design and common design principles to adhere to the project’s requirements. Programmer Programmers benefit from the use of design patterns because they can reuse existing code already established by the design pattern and only have to integrate the changes outlined by the system architects/engineers. Tester Testers benefit from the use of design patterns because they can alter the existing test established for the design pattern to take in to account the changes made by the system architects/engineers. User Users benefit from the use of design patterns because the software is typically delivered sooner than projects that do not incorporate the use of design patterns, and they are assumed that the system will work as designed because it was based on a system that was already proven to work properly.

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• Resolving "PLS-00201: identifier 'DBMS_SYSTEM.XXXX' must be declared" Error

  - by Giri Mandalika

  Here is a failure sample. SQL set serveroutput on SQL alter package APPS.FND_TRACE compile body; Warning: Package Body altered with compilation errors. SQL show errors Errors for PACKAGE BODY APPS.FND_TRACE: LINE/COL ERROR -------- ----------------------------------------------------------------- 235/6 PL/SQL: Statement ignored 235/6 PLS-00201: identifier 'DBMS_SYSTEM.SET_EV' must be declared .. By default, DBMS_SYSTEM package is accessible only from SYS schema. Also there is no public synonym created for this package. So, the solution is to create the public synonym and grant "execute" privilege on DBMS_SYSTEM package to all database users or a specific user. eg., SQL CREATE PUBLIC SYNONYM dbms_system FOR dbms_system; Synonym created. SQL GRANT EXECUTE ON dbms_system TO APPS; Grant succeeded. - OR - SQL GRANT EXECUTE ON dbms_system TO PUBLIC; Grant succeeded. SQL alter package APPS.FND_TRACE compile body; Package body altered. Note that merely granting execute privilege is not enough -- creating the public synonym is as important to resolve this issue.

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• How SQL Server 2014 impacts Red Gate’s SQL Compare

  - by Michelle Taylor

  SQL Compare 10.7 successfully connects to SQL Server 2014, but it doesn’t yet cover the SQL Server 2014 features which would require us to make major changes to SQL Compare to support. In this post I’m going to talk about the SQL Server 2014 features we’ve already begun supporting, and which ones we’re working on for the next release of SQL Compare (v11). From SQL Compare’s perspective, the new memory-optimized table functionality (some might know it as ‘Hekaton’) has been the most important change. It can’t be described as its own object type, but the new functionality is split across two existing object types (three if you count indexes), as it also comes with native stored procedures and inline indexes. Along with connectivity support, the SQL Compare team has already implemented the first part of the puzzle – inline specification of indexes. These are essential for memory-optimized tables because it’s not possible to alter the memory optimized table’s structure, and so indexes can’t be added after the fact without dropping the table. Books Online  shows this in more detail in the table_index and column_index clauses of http://msdn.microsoft.com/en-us/library/ms174979(v=sql.120).aspx. SQL Compare 10.7 currently supports reading the new inline index specification from script folders and source control repositories, and will write out inline indexes where it’s necessary to do so (i.e. in UDDTs or when attempting to write projects compatible with the SSDT database project format). However, memory-optimized tables themselves are not yet supported in 10.7. The team is actively working on making them available in the v11 release with full support later in the year, and in a beta version before that. Fortunately, SQL Compare already has some ways of handling tables that have to be dropped and created rather than altered, which are being adapted to handle this new kind of table. Because it’s one of the largest new database engine features, there’s an equally large Books Online section on memory-optimized tables, but for us the most important parts of the documentation are the normal table features that are changed or unsupported and the new syntax found in the T-SQL reference pages. We are treating SQL Compare’s support of Natively Compiled Stored Procedures as a separate unit of work, which will be available in a subsequent beta and also feed into the v11 release. This new type of stored procedure is designed to work with memory-optimized tables to maintain the performance improvements gained by them – but you can still also access memory-optimized tables from normal stored procedures and ad-hoc queries. To us, they’re essentially a limited-syntax stored procedure with a few extra options in the create statement, embodied in the updated CREATE PROCEDURE documentation and with the detailed limitations. They should be easier to handle than memory-optimized tables simply because the handling of stored procedures is less sensitive to dropping the object than the handling of tables. However, both share an incompatibility with DDL triggers and Event Notifications which mean we’ll need to temporarily disable these during the specific deployment operations that involve them – don’t worry, we’ll supply a warning if this is the case so that you can check your auditing arrangements can handle the situation. There are also a handful of other improvements in SQL Server 2014 which affect SQL Compare and SQL Data Compare that are not connected to memory optimized tables. The largest of these are the improvements to columnstore indexes, with the capability to create clustered columnstore indexes and update columnstore tables through them – for more detail, take a look at the new syntax reference. There’s also a new index option for better compression of columnstores (COLUMNSTORE_ARCHIVE) and a new statistics option for incremental per-partition statistics, plus the 90 compatibility level is being retired. We’re planning to finish up these small clean-up features last, and be ready to release SQL Compare 11 with full SQL 2014 support early in Q3 this year. For a more thorough overview of what’s new in SQL Server 2014, Books Online’s What’s New section is a good place to start (although almost all the changes in this version are in the Database Engine).

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• SQL SERVER – Cleaning Up SQL Server Indexes – Defragmentation, Fillfactor – Video

  - by pinaldave

  Storing data non-contiguously on disk is known as fragmentation. Before learning to eliminate fragmentation, you should have a clear understanding of the types of fragmentation. When records are stored non-contiguously inside the page, then it is called internal fragmentation. When on disk, the physical storage of pages and extents is not contiguous. We can get both types of fragmentation using the DMV: sys.dm_db_index_physical_stats. Here is the generic advice for reducing the fragmentation. If avg_fragmentation_in_percent > 5% and < 30%, then use ALTER INDEX REORGANIZE: This statement is replacement for DBCC INDEXDEFRAG to reorder the leaf level pages of the index in a logical order. As this is an online operation, the index is available while the statement is running. If avg_fragmentation_in_percent > 30%, then use ALTER INDEX REBUILD: This is replacement for DBCC DBREINDEX to rebuild the index online or offline. In such case, we can also use the drop and re-create index method.(Ref: MSDN) Here is quick video which covers many of the above mentioned topics. While Vinod and I were planning about Indexing course, we had plenty of fun and learning. We often recording few of our statement and just left it aside. Afterwords we thought it will be really funny Here is funny video shot by Vinod and Myself on the same subject: Here is the link to the SQL Server Performance:  Indexing Basics. Here is the additional reading material on the same subject: SQL SERVER – Fragmentation – Detect Fragmentation and Eliminate Fragmentation SQL SERVER – 2005 – Display Fragmentation Information of Data and Indexes of Database Table SQL SERVER – De-fragmentation of Database at Operating System to Improve Performance Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: PostADay, SQL, SQL Authority, SQL Index, SQL Performance, SQL Query, SQL Server, SQL Tips and Tricks, T SQL, Technology, Video

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• SQL SERVER – Fix: Error : 402 The data types ntext and varchar are incompatible in the equal to operator

  - by pinaldave

  Some errors are very simple to understand but the solution of the same is not easy to figure out. Here is one of the similar errors where it clearly suggests where the problem is but does not tell what is the solution. Additionally, there are multiple solutions so developers often get confused with which one is correct and which one is not correct. Let us first recreate scenario and understand where the problem is. Let us run following USE Tempdb GO CREATE TABLE TestTable (ID INT, MyText NTEXT) GO SELECT ID, MyText FROM TestTable WHERE MyText = 'AnyText' GO DROP TABLE TestTable GO When you run above script it will give you following error. Msg 402, Level 16, State 1, Line 1 The data types ntext and varchar are incompatible in the equal to operator. One of the questions I often receive is that voucher is for sure compatible to equal to operator, then why does this error show up. Well, the answer is much simpler I think we have not understood the error message properly. Please see the image below. The next and varchar are not compatible when compared with each other using equal sign. Now let us change the data type on the right side of the string to nvarchar from varchar. To do that we will put N’ before the string. USE Tempdb GO CREATE TABLE TestTable (ID INT, MyText NTEXT) GO SELECT ID, MyText FROM TestTable WHERE MyText = N'AnyText' GO DROP TABLE TestTable GO When you run above script it will give following error. Msg 402, Level 16, State 1, Line 1 The data types ntext and nvarchar are incompatible in the equal to operator. You can see that error message also suggests that now we are comparing next to nvarchar. Now as we have understood the error properly, let us see various solutions to the above problem. Solution 1: Convert the data types to match with each other using CONVERT function. Change the datatype of the MyText to nvarchar. SELECT ID, MyText FROM TestTable WHERE CONVERT(NVARCHAR(MAX), MyText) = N'AnyText' GO Solution 2: Convert the data type of columns from NTEXT to NVARCHAR(MAX) (TEXT to VARCHAR(MAX) ALTER TABLE TestTable ALTER COLUMN MyText NVARCHAR(MAX) GO Now you can run the original query again and it will work fine. Solution 3: Using LIKE command instead of Equal to command. SELECT ID, MyText FROM TestTable WHERE MyText LIKE 'AnyText' GO Well, any of the three of the solutions will work. Here is my suggestion if you can change the column data type from ntext or text to nvarchar or varchar, you should follow that path as text and ntext datatypes are marked as deprecated. All developers any way to change the deprecated data types in future, it will be a good idea to change them right early. If due to any reason you can not convert the original column use Solution 1 for temporary fix. Solution 3 is the not the best solution and use it as a last option. Did I miss any other method? If yes, please let me know and I will add the solution to original blog post with due credit. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: PostADay, SQL, SQL Authority, SQL Error Messages, SQL Query, SQL Server, SQL Tips and Tricks, T SQL, Technology

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• Speed up SQL Server queries with PREFETCH

  - by Akshay Deep Lamba

  Problem The SAN data volume has a throughput capacity of 400MB/sec; however my query is still running slow and it is waiting on I/O (PAGEIOLATCH_SH). Windows Performance Monitor shows data volume speed of 4MB/sec. Where is the problem and how can I find the problem? Solution This is another summary of a great article published by R. Meyyappan at www.sqlworkshops.com.  In my opinion, this is the first article that highlights and explains with working examples how PREFETCH determines the performance of a Nested Loop join.  First of all, I just want to recall that Prefetch is a mechanism with which SQL Server can fire up many I/O requests in parallel for a Nested Loop join. When SQL Server executes a Nested Loop join, it may or may not enable Prefetch accordingly to the number of rows in the outer table. If the number of rows in the outer table is greater than 25 then SQL will enable and use Prefetch to speed up query performance, but it will not if it is less than 25 rows. In this section we are going to see different scenarios where prefetch is automatically enabled or disabled. These examples only use two tables RegionalOrder and Orders.  If you want to create the sample tables and sample data, please visit this site www.sqlworkshops.com. The breakdown of the data in the RegionalOrders table is shown below and the Orders table contains about 6 million rows. In this first example, I am creating a stored procedure against two tables and then execute the stored procedure.  Before running the stored proceudre, I am going to include the actual execution plan. --Example provided by www.sqlworkshops.com --Create procedure that pulls orders based on City --Do not forget to include the actual execution plan CREATE PROC RegionalOrdersProc @City CHAR(20) AS BEGIN DECLARE @OrderID INT, @OrderDetails CHAR(200) SELECT @OrderID = o.OrderID, @OrderDetails = o.OrderDetails       FROM RegionalOrders ao INNER JOIN Orders o ON (o.OrderID = ao.OrderID)       WHERE City = @City END GO SET STATISTICS time ON GO --Example provided by www.sqlworkshops.com --Execute the procedure with parameter SmallCity1 EXEC RegionalOrdersProc 'SmallCity1' GO After running the stored procedure, if we right click on the Clustered Index Scan and click Properties we can see the Estimated Numbers of Rows is 24.    If we right click on Nested Loops and click Properties we do not see Prefetch, because it is disabled. This behavior was expected, because the number of rows containing the value ‘SmallCity1’ in the outer table is less than 25.   Now, if I run the same procedure with parameter ‘BigCity’ will Prefetch be enabled? --Example provided by www.sqlworkshops.com --Execute the procedure with parameter BigCity --We are using cached plan EXEC RegionalOrdersProc 'BigCity' GO As we can see from the below screenshot, prefetch is not enabled and the query takes around 7 seconds to execute. This is because the query used the cached plan from ‘SmallCity1’ that had prefetch disabled. Please note that even if we have 999 rows for ‘BigCity’ the Estimated Numbers of Rows is still 24.   Finally, let’s clear the procedure cache to trigger a new optimization and execute the procedure again. DBCC freeproccache GO EXEC RegionalOrdersProc 'BigCity' GO This time, our procedure runs under a second, Prefetch is enabled and the Estimated Number of Rows is 999.   The RegionalOrdersProc can be optimized by using the below example where we are using an optimizer hint. I have also shown some other hints that could be used as well. --Example provided by www.sqlworkshops.com --You can fix the issue by using any of the following --hints --Create procedure that pulls orders based on City DROP PROC RegionalOrdersProc GO CREATE PROC RegionalOrdersProc @City CHAR(20) AS BEGIN DECLARE @OrderID INT, @OrderDetails CHAR(200) SELECT @OrderID = o.OrderID, @OrderDetails = o.OrderDetails       FROM RegionalOrders ao INNER JOIN Orders o ON (o.OrderID = ao.OrderID)       WHERE City = @City       --Hinting optimizer to use SmallCity2 for estimation       OPTION (optimize FOR (@City = 'SmallCity2'))       --Hinting optimizer to estimate for the currnet parameters       --option (recompile)       --Hinting optimize not to use histogram rather       --density for estimation (average of all 3 cities)       --option (optimize for (@City UNKNOWN))       --option (optimize for UNKNOWN) END GO Conclusion, this tip was mainly aimed at illustrating how Prefetch can speed up query execution and how the different number of rows can trigger this.

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• Stretch in multiple components using af:popup, af:region, af:panelTabbed

  - by Arvinder Singh

  Case study: I have a pop-up(dialogue) that contains a region(separate taskflow) showing a tab. The contents of this tab is in a region having a separate taskflow. The jsff page of this taskflow contains a panelSplitter which in turn contains a table. In short the components are : pop-up(dialogue) --> region(separate taskflow) --> tab --> region(separate taskflow) --> panelSplitter --> table At times the tab is not displayed with 100% width or the table in panelSplitter is not 100% visible or the splitter is not visible. Maintaining the stretch for all the components is difficult......not any more!!! Below is the solution that you can make use of in many similar scenarios. I am mentioning the major code snippets affecting the stretch and alignment. pop-up: <af:popup> <af:dialog id="d2" type="none" title="" inlineStyle="width:1200px"> <af:region value="#{bindings.PriceChangePopupFlow1.regionModel}" id="r1"/> </af:dialog> The above region is a jsff containing multiple tabs. I am showing code for a single tab. I kept the tab in a panelStretchLayout. <af:panelStretchLayout id="psl1" topHeight="300px" styleClass="AFStretchWidth"> <af:panelTabbed id="pt1"> <af:showDetailItem text="PO Details" id="sdi1" stretchChildren="first" > <af:region value="#{bindings.PriceChangePurchaseOrderFlow1.regionModel}" id="r1" binding="# {pageFlowScope.priceChangePopupBean.poDetailsRegion}" /> This "region" displays a .jsff containing a table in a panelSplitter. <af:panelSplitter id="ps1"  orientation="horizontal" splitterPosition="700"> <f:facet name="first"> <af:panelHeader text="PurchaseOrder" id="ph1"> <af:table id="md1" rows="#{bindings.PurchaseOrderVO.rangeSize}" That's it!!! We're done... Note the stretchChildren="first" attribute in the af:showDetailItem. That does the trick for us. Oracle docs say the following about stretchChildren :  Valid Values: none, first The stretching behavior for children. Acceptable values include: "none": does not attempt to stretch any children (the default value and the value you need to use if you have more than a single child; also the value you need to use if the child does not support being stretched) "first": stretches the first child (not to be used if you have multiple children as such usage will produce unreliable results; also not to be used if the child does not support being stretched)

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• #SQLMug - Like a collectors set of 5 x geeky SQL Mugs?

  - by Greg Low

  Hi Folks,For a while, I've been wanting to get some great SQL mugs printed for SQL Down Under but I need further inspiration so here's your chance to get a collectors set of 5 SQL mugs:Send me (greg @ sqldownunder . com) a great line to go onto the mugs, along with your country and a delivery address. I'll pick the best 5 and get mugs printed with those sayings. If you're one of the 5, I'll send you a collectors set with one of each of the 5. Simple enough?Here are some ideas I've already received to get you started:Chuck Norris gets NULL. Nothing compares to him either.ALTER MUG  SET SINGLE_USER  WITH ROLLBACK IMMEDIATE;DENY CONTROL  ON OBJECT::MUG  TO public;knock knock who's there? sp_ sp_who? spid 1, spid 2, spid 3, spid 4... ALTER DATABASE CriticalDB SET ChuckNorrisMode = ON WITH NOWAIT;I'll probably cut off new entries around the end of April.

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