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  • MySQL & NHibernate. How fix the error: Column 'ReservedWord' does not belong to table ReservedWords?

    - by Eduardo Xavier
    "I am getting a weird error when using NHibernate. And I don't know what is causing this error. I am new to the whole Visual Studio and NHibernate, but not to Hibernate. I used Hibernate in the past in Java projects. Any help would be appreciated in pointing me where my error is. I am using Visual Studio 2008 SP1 with Mysql 5.1. Below is the code I am using. " The full code and examples are posted here: https://forum.hibernate.org/viewtopic.php?f=25&t=997701

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  • How do I escape reserved words used as column names? MySQL/Create Table

    - by acidzombie24
    I am generating tables from classes in .NET and one problem is a class may have a field name key which is a reserved MySQL keyword. How do I escape it in a create table statement? (Note: The other problem below is text must be a fixed size to be indexed/unique) create table if not exists misc_info ( id INTEGER PRIMARY KEY AUTO_INCREMENT NOT NULL, key TEXT UNIQUE NOT NULL, value TEXT NOT NULL)ENGINE=INNODB;

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  • How can I update a column in a table with the result of a select statement that uses row being updat

    - by Sailing Judo
    This SQL statement example is very close to what I think I need... update table1 set value1 = x.value1 from (select value1, code from table2 where code = something) as x However, what I need to do is change the "something" in the above example to a value from the row that is being updated. For example, I tried this but it didn't work: update table1 A set value1 = x.value1 from (select value1, code from table2 where code = A.something) as x This is a one time operation to update an existing table and I'm not really looking for high performance way to do this. Any solution that gets the task done is good enough.

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  • How do I sort an activerecord result set on a i18n translated column?

    - by PlanetMaster
    Hi, I have the following line in a view: <%= f.select(:province_id, options_from_collection_for_select(Province.find(:all, :conditions => { :country_id => @property.country_id }, :order => "provinces.name ASC"), :id, :name) %> In the province model I have the following: def name I18n.t(super) end Problem is that the :name field is translated (through the province model) and that the ordering is done by activerecord on the english name. The non-english result set can be wrongly sorted this way. We have a province in Belgium called 'Oost-Vlaanderen'. In english that is 'East-Flanders". Not good for sorting:) I need something like this, but it does not work: <%= f.select(:province_id, options_from_collection_for_select(Province.find(:all, :conditions => { :country_id => @property.country_id }, :order => "provinces.I18n.t(name) ASC"), :id, :name) %> What would be the best approach to solve this? As you may have noticed, my coding knowledge is very limited, sorry for that.

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  • How do i escape reserve names in a column? MySQL/Create Table

    - by acidzombie24
    I am generating tables from classes in .NET and one problem is a class may have a field name key which is a reserved mysql keyword. How do i escape it in a create table statement? (Note: The other problem below is text must be a fixed size to be indexed/unique) create table if not exists misc_info ( id INTEGER PRIMARY KEY AUTO_INCREMENT NOT NULL, key TEXT UNIQUE NOT NULL, value TEXT NOT NULL)ENGINE=INNODB;

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  • CSS 3 columns, why is the third column taking over the other 2?

    - by Matt Dawdy
    Here is the smallest amount of code that clearly illustrates my problem: <html> <body> <div style="float: left; width: 200px;">One</div> <div style="float: left; width: 200px;">Two</div> <div style="background-color: #f0f;">Three</div> </body> </html> The first 2 divs are supposed to be 2 left columns. The 3rd should take up the rest of the page. Eventually, I'm going to add options to hide and show the 2 columns on the left. But, why is the color purple extending all the way to the browser's left edge? I am trying to get it to start at the word "Three".

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  • LOAD DATA LOCAL INFILE custom value

    - by NR03
    How to add a custom value using LOAD DATA LOCAL INFILE? The column time_added is the 7th column and the file has only 2 values for the first and the second column. For the 7th column, time_added I want to use the unix timestamp when loading from file. This code isn't working: $result = mysql_query("LOAD DATA LOCAL INFILE '{$myFile}' INTO TABLE {$table} FIELDS TERMINATED BY ':' LINES TERMINATED BY '\n' SET `time_added`=unix_timestamp()");

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  • Android-SQLite: How to Count specific value from Column?

    - by sanpatil
    I have two table (TABLE_EXAM,TABLE_RESULT). Here is value of my TABLE_RESULT. result_id exam_id question_id correct_answer 1 2 4 y 2 2 5 y 3 2 6 n 4 2 7 y I need to count how many correct_answer='y' where exam_id=2. I try following code but it return 0. public int calculateResult(int examId,String confirmAnswer) { int correctAnswer=0; try { SQLiteDatabase db=this.getWritableDatabase(); String selectQuery=("select count(correctAnswer) from result where exam_id ='" + examId + "' and correctAnswer ='" + 'y' +"'" ); // String selectQuery=("SELECT COUNT(*)FROM result WHERE exam_id ='" + examId + "' and correctAnswer ='" + confirmAnswer +"'" ); Cursor cursor = db.rawQuery(selectQuery, null); if(cursor.moveToLast()) { correctAnswer=cursor.getInt(3); } } catch(Exception e) { e.printStackTrace(); } return correctAnswer; } In variable confirm_answer i pass "y". Give me some hint or reference. Any help is appreciated. Thanks in Advance

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  • How to get the default value of a column of MS Access Database using C++?

    - by user198750
    This is the sql script I used to create a table in MS Access Database. CREATE TABLE Contracts ( id int NULL DEFAULT 0, sex varchar(255) DEFAULT 'female' NOT NULL ) Now I want to programmatically get the default value of the field: "sex", I know it's 'female' but I don't know how to get it using C++ ADO interface. Below is a snippet of my code: m_pRecordset->Fields->get_Item(vIntegerType, &pvObject); bstrColName = pvObject->GetName(); dtype = pvObject->GetType(); attr = pvObject->GetAttributes();

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  • MySQL query to find the most popular value in a column joined by another value in a second table

    - by Budove
    I have two tables: users: user_id, user_zip settings: user_id, pref_ex_loc I need to find the single most popular 'pref_ex_loc' from the settings table based on a particular user_zip, which will be specified as the variable $userzip. Here is the query that I have now and obviously it doesn't work. $popularexloc = "SELECT pref_ex_loc, user_id COUNT(pref_ex_loc) AS countloc FROM settings FULL OUTER JOIN users ON settings.user_id = users.user_id WHERE users.user_zip='$userzip' GROUP BY settings.pref_ex_loc ORDER BY countloc LIMIT 1"; $popexloc = mysql_query($popularexloc) or die('SQL Error :: '.mysql_error()); $exlocrow = mysql_fetch_array($popexloc); $mostpopexloc=$exlocrow[0]; echo '<option value="'.$mostpopexloc.'">'.$mostpopexloc.'</option>'; What am I doing wrong here? I'm not getting any kind of error from this either.

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  • An Xml Serializable PropertyBag Dictionary Class for .NET

    - by Rick Strahl
    I don't know about you but I frequently need property bags in my applications to store and possibly cache arbitrary data. Dictionary<T,V> works well for this although I always seem to be hunting for a more specific generic type that provides a string key based dictionary. There's string dictionary, but it only works with strings. There's Hashset<T> but it uses the actual values as keys. In most key value pair situations for me string is key value to work off. Dictionary<T,V> works well enough, but there are some issues with serialization of dictionaries in .NET. The .NET framework doesn't do well serializing IDictionary objects out of the box. The XmlSerializer doesn't support serialization of IDictionary via it's default serialization, and while the DataContractSerializer does support IDictionary serialization it produces some pretty atrocious XML. What doesn't work? First off Dictionary serialization with the Xml Serializer doesn't work so the following fails: [TestMethod] public void DictionaryXmlSerializerTest() { var bag = new Dictionary<string, object>(); bag.Add("key", "Value"); bag.Add("Key2", 100.10M); bag.Add("Key3", Guid.NewGuid()); bag.Add("Key4", DateTime.Now); bag.Add("Key5", true); bag.Add("Key7", new byte[3] { 42, 45, 66 }); TestContext.WriteLine(this.ToXml(bag)); } public string ToXml(object obj) { if (obj == null) return null; StringWriter sw = new StringWriter(); XmlSerializer ser = new XmlSerializer(obj.GetType()); ser.Serialize(sw, obj); return sw.ToString(); } The error you get with this is: System.NotSupportedException: The type System.Collections.Generic.Dictionary`2[[System.String, mscorlib, Version=4.0.0.0, Culture=neutral, PublicKeyToken=b77a5c561934e089],[System.Object, mscorlib, Version=4.0.0.0, Culture=neutral, PublicKeyToken=b77a5c561934e089]] is not supported because it implements IDictionary. Got it! BTW, the same is true with binary serialization. Running the same code above against the DataContractSerializer does work: [TestMethod] public void DictionaryDataContextSerializerTest() { var bag = new Dictionary<string, object>(); bag.Add("key", "Value"); bag.Add("Key2", 100.10M); bag.Add("Key3", Guid.NewGuid()); bag.Add("Key4", DateTime.Now); bag.Add("Key5", true); bag.Add("Key7", new byte[3] { 42, 45, 66 }); TestContext.WriteLine(this.ToXmlDcs(bag)); } public string ToXmlDcs(object value, bool throwExceptions = false) { var ser = new DataContractSerializer(value.GetType(), null, int.MaxValue, true, false, null); MemoryStream ms = new MemoryStream(); ser.WriteObject(ms, value); return Encoding.UTF8.GetString(ms.ToArray(), 0, (int)ms.Length); } This DOES work but produces some pretty heinous XML (formatted with line breaks and indentation here): <ArrayOfKeyValueOfstringanyType xmlns="http://schemas.microsoft.com/2003/10/Serialization/Arrays" xmlns:i="http://www.w3.org/2001/XMLSchema-instance"> <KeyValueOfstringanyType> <Key>key</Key> <Value i:type="a:string" xmlns:a="http://www.w3.org/2001/XMLSchema">Value</Value> </KeyValueOfstringanyType> <KeyValueOfstringanyType> <Key>Key2</Key> <Value i:type="a:decimal" xmlns:a="http://www.w3.org/2001/XMLSchema">100.10</Value> </KeyValueOfstringanyType> <KeyValueOfstringanyType> <Key>Key3</Key> <Value i:type="a:guid" xmlns:a="http://schemas.microsoft.com/2003/10/Serialization/">2cd46d2a-a636-4af4-979b-e834d39b6d37</Value> </KeyValueOfstringanyType> <KeyValueOfstringanyType> <Key>Key4</Key> <Value i:type="a:dateTime" xmlns:a="http://www.w3.org/2001/XMLSchema">2011-09-19T17:17:05.4406999-07:00</Value> </KeyValueOfstringanyType> <KeyValueOfstringanyType> <Key>Key5</Key> <Value i:type="a:boolean" xmlns:a="http://www.w3.org/2001/XMLSchema">true</Value> </KeyValueOfstringanyType> <KeyValueOfstringanyType> <Key>Key7</Key> <Value i:type="a:base64Binary" xmlns:a="http://www.w3.org/2001/XMLSchema">Ki1C</Value> </KeyValueOfstringanyType> </ArrayOfKeyValueOfstringanyType> Ouch! That seriously hurts the eye! :-) Worse though it's extremely verbose with all those repetitive namespace declarations. It's good to know that it works in a pinch, but for a human readable/editable solution or something lightweight to store in a database it's not quite ideal. Why should I care? As a little background, in one of my applications I have a need for a flexible property bag that is used on a free form database field on an otherwise static entity. Basically what I have is a standard database record to which arbitrary properties can be added in an XML based string field. I intend to expose those arbitrary properties as a collection from field data stored in XML. The concept is pretty simple: When loading write the data to the collection, when the data is saved serialize the data into an XML string and store it into the database. When reading the data pick up the XML and if the collection on the entity is accessed automatically deserialize the XML into the Dictionary. (I'll talk more about this in another post). While the DataContext Serializer would work, it's verbosity is problematic both for size of the generated XML strings and the fact that users can manually edit this XML based property data in an advanced mode. A clean(er) layout certainly would be preferable and more user friendly. Custom XMLSerialization with a PropertyBag Class So… after a bunch of experimentation with different serialization formats I decided to create a custom PropertyBag class that provides for a serializable Dictionary. It's basically a custom Dictionary<TType,TValue> implementation with the keys always set as string keys. The result are PropertyBag<TValue> and PropertyBag (which defaults to the object type for values). The PropertyBag<TType> and PropertyBag classes provide these features: Subclassed from Dictionary<T,V> Implements IXmlSerializable with a cleanish XML format ToXml() and FromXml() methods to export and import to and from XML strings Static CreateFromXml() method to create an instance It's simple enough as it's merely a Dictionary<string,object> subclass but that supports serialization to a - what I think at least - cleaner XML format. The class is super simple to use: [TestMethod] public void PropertyBagTwoWayObjectSerializationTest() { var bag = new PropertyBag(); bag.Add("key", "Value"); bag.Add("Key2", 100.10M); bag.Add("Key3", Guid.NewGuid()); bag.Add("Key4", DateTime.Now); bag.Add("Key5", true); bag.Add("Key7", new byte[3] { 42,45,66 } ); bag.Add("Key8", null); bag.Add("Key9", new ComplexObject() { Name = "Rick", Entered = DateTime.Now, Count = 10 }); string xml = bag.ToXml(); TestContext.WriteLine(bag.ToXml()); bag.Clear(); bag.FromXml(xml); Assert.IsTrue(bag["key"] as string == "Value"); Assert.IsInstanceOfType( bag["Key3"], typeof(Guid)); Assert.IsNull(bag["Key8"]); //Assert.IsNull(bag["Key10"]); Assert.IsInstanceOfType(bag["Key9"], typeof(ComplexObject)); } This uses the PropertyBag class which uses a PropertyBag<string,object> - which means it returns untyped values of type object. I suspect for me this will be the most common scenario as I'd want to store arbitrary values in the PropertyBag rather than one specific type. The same code with a strongly typed PropertyBag<decimal> looks like this: [TestMethod] public void PropertyBagTwoWayValueTypeSerializationTest() { var bag = new PropertyBag<decimal>(); bag.Add("key", 10M); bag.Add("Key1", 100.10M); bag.Add("Key2", 200.10M); bag.Add("Key3", 300.10M); string xml = bag.ToXml(); TestContext.WriteLine(bag.ToXml()); bag.Clear(); bag.FromXml(xml); Assert.IsTrue(bag.Get("Key1") == 100.10M); Assert.IsTrue(bag.Get("Key3") == 300.10M); } and produces typed results of type decimal. The types can be either value or reference types the combination of which actually proved to be a little more tricky than anticipated due to null and specific string value checks required - getting the generic typing right required use of default(T) and Convert.ChangeType() to trick the compiler into playing nice. Of course the whole raison d'etre for this class is the XML serialization. You can see in the code above that we're doing a .ToXml() and .FromXml() to serialize to and from string. The XML produced for the first example looks like this: <?xml version="1.0" encoding="utf-8"?> <properties> <item> <key>key</key> <value>Value</value> </item> <item> <key>Key2</key> <value type="decimal">100.10</value> </item> <item> <key>Key3</key> <value type="___System.Guid"> <guid>f7a92032-0c6d-4e9d-9950-b15ff7cd207d</guid> </value> </item> <item> <key>Key4</key> <value type="datetime">2011-09-26T17:45:58.5789578-10:00</value> </item> <item> <key>Key5</key> <value type="boolean">true</value> </item> <item> <key>Key7</key> <value type="base64Binary">Ki1C</value> </item> <item> <key>Key8</key> <value type="nil" /> </item> <item> <key>Key9</key> <value type="___Westwind.Tools.Tests.PropertyBagTest+ComplexObject"> <ComplexObject> <Name>Rick</Name> <Entered>2011-09-26T17:45:58.5789578-10:00</Entered> <Count>10</Count> </ComplexObject> </value> </item> </properties>   The format is a bit cleaner than the DataContractSerializer. Each item is serialized into <key> <value> pairs. If the value is a string no type information is written. Since string tends to be the most common type this saves space and serialization processing. All other types are attributed. Simple types are mapped to XML types so things like decimal, datetime, boolean and base64Binary are encoded using their Xml type values. All other types are embedded with a hokey format that describes the .NET type preceded by a three underscores and then are encoded using the XmlSerializer. You can see this best above in the ComplexObject encoding. For custom types this isn't pretty either, but it's more concise than the DCS and it works as long as you're serializing back and forth between .NET clients at least. The XML generated from the second example that uses PropertyBag<decimal> looks like this: <?xml version="1.0" encoding="utf-8"?> <properties> <item> <key>key</key> <value type="decimal">10</value> </item> <item> <key>Key1</key> <value type="decimal">100.10</value> </item> <item> <key>Key2</key> <value type="decimal">200.10</value> </item> <item> <key>Key3</key> <value type="decimal">300.10</value> </item> </properties>   How does it work As I mentioned there's nothing fancy about this solution - it's little more than a subclass of Dictionary<T,V> that implements custom Xml Serialization and a couple of helper methods that facilitate getting the XML in and out of the class more easily. But it's proven very handy for a number of projects for me where dynamic data storage is required. Here's the code: /// <summary> /// Creates a serializable string/object dictionary that is XML serializable /// Encodes keys as element names and values as simple values with a type /// attribute that contains an XML type name. Complex names encode the type /// name with type='___namespace.classname' format followed by a standard xml /// serialized format. The latter serialization can be slow so it's not recommended /// to pass complex types if performance is critical. /// </summary> [XmlRoot("properties")] public class PropertyBag : PropertyBag<object> { /// <summary> /// Creates an instance of a propertybag from an Xml string /// </summary> /// <param name="xml">Serialize</param> /// <returns></returns> public static PropertyBag CreateFromXml(string xml) { var bag = new PropertyBag(); bag.FromXml(xml); return bag; } } /// <summary> /// Creates a serializable string for generic types that is XML serializable. /// /// Encodes keys as element names and values as simple values with a type /// attribute that contains an XML type name. Complex names encode the type /// name with type='___namespace.classname' format followed by a standard xml /// serialized format. The latter serialization can be slow so it's not recommended /// to pass complex types if performance is critical. /// </summary> /// <typeparam name="TValue">Must be a reference type. For value types use type object</typeparam> [XmlRoot("properties")] public class PropertyBag<TValue> : Dictionary<string, TValue>, IXmlSerializable { /// <summary> /// Not implemented - this means no schema information is passed /// so this won't work with ASMX/WCF services. /// </summary> /// <returns></returns> public System.Xml.Schema.XmlSchema GetSchema() { return null; } /// <summary> /// Serializes the dictionary to XML. Keys are /// serialized to element names and values as /// element values. An xml type attribute is embedded /// for each serialized element - a .NET type /// element is embedded for each complex type and /// prefixed with three underscores. /// </summary> /// <param name="writer"></param> public void WriteXml(System.Xml.XmlWriter writer) { foreach (string key in this.Keys) { TValue value = this[key]; Type type = null; if (value != null) type = value.GetType(); writer.WriteStartElement("item"); writer.WriteStartElement("key"); writer.WriteString(key as string); writer.WriteEndElement(); writer.WriteStartElement("value"); string xmlType = XmlUtils.MapTypeToXmlType(type); bool isCustom = false; // Type information attribute if not string if (value == null) { writer.WriteAttributeString("type", "nil"); } else if (!string.IsNullOrEmpty(xmlType)) { if (xmlType != "string") { writer.WriteStartAttribute("type"); writer.WriteString(xmlType); writer.WriteEndAttribute(); } } else { isCustom = true; xmlType = "___" + value.GetType().FullName; writer.WriteStartAttribute("type"); writer.WriteString(xmlType); writer.WriteEndAttribute(); } // Actual deserialization if (!isCustom) { if (value != null) writer.WriteValue(value); } else { XmlSerializer ser = new XmlSerializer(value.GetType()); ser.Serialize(writer, value); } writer.WriteEndElement(); // value writer.WriteEndElement(); // item } } /// <summary> /// Reads the custom serialized format /// </summary> /// <param name="reader"></param> public void ReadXml(System.Xml.XmlReader reader) { this.Clear(); while (reader.Read()) { if (reader.NodeType == XmlNodeType.Element && reader.Name == "key") { string xmlType = null; string name = reader.ReadElementContentAsString(); // item element reader.ReadToNextSibling("value"); if (reader.MoveToNextAttribute()) xmlType = reader.Value; reader.MoveToContent(); TValue value; if (xmlType == "nil") value = default(TValue); // null else if (string.IsNullOrEmpty(xmlType)) { // value is a string or object and we can assign TValue to value string strval = reader.ReadElementContentAsString(); value = (TValue) Convert.ChangeType(strval, typeof(TValue)); } else if (xmlType.StartsWith("___")) { while (reader.Read() && reader.NodeType != XmlNodeType.Element) { } Type type = ReflectionUtils.GetTypeFromName(xmlType.Substring(3)); //value = reader.ReadElementContentAs(type,null); XmlSerializer ser = new XmlSerializer(type); value = (TValue)ser.Deserialize(reader); } else value = (TValue)reader.ReadElementContentAs(XmlUtils.MapXmlTypeToType(xmlType), null); this.Add(name, value); } } } /// <summary> /// Serializes this dictionary to an XML string /// </summary> /// <returns>XML String or Null if it fails</returns> public string ToXml() { string xml = null; SerializationUtils.SerializeObject(this, out xml); return xml; } /// <summary> /// Deserializes from an XML string /// </summary> /// <param name="xml"></param> /// <returns>true or false</returns> public bool FromXml(string xml) { this.Clear(); // if xml string is empty we return an empty dictionary if (string.IsNullOrEmpty(xml)) return true; var result = SerializationUtils.DeSerializeObject(xml, this.GetType()) as PropertyBag<TValue>; if (result != null) { foreach (var item in result) { this.Add(item.Key, item.Value); } } else // null is a failure return false; return true; } /// <summary> /// Creates an instance of a propertybag from an Xml string /// </summary> /// <param name="xml"></param> /// <returns></returns> public static PropertyBag<TValue> CreateFromXml(string xml) { var bag = new PropertyBag<TValue>(); bag.FromXml(xml); return bag; } } } The code uses a couple of small helper classes SerializationUtils and XmlUtils for mapping Xml types to and from .NET, both of which are from the WestWind,Utilities project (which is the same project where PropertyBag lives) from the West Wind Web Toolkit. The code implements ReadXml and WriteXml for the IXmlSerializable implementation using old school XmlReaders and XmlWriters (because it's pretty simple stuff - no need for XLinq here). Then there are two helper methods .ToXml() and .FromXml() that basically allow your code to easily convert between XML and a PropertyBag object. In my code that's what I use to actually to persist to and from the entity XML property during .Load() and .Save() operations. It's sweet to be able to have a string key dictionary and then be able to turn around with 1 line of code to persist the whole thing to XML and back. Hopefully some of you will find this class as useful as I've found it. It's a simple solution to a common requirement in my applications and I've used the hell out of it in the  short time since I created it. Resources You can find the complete code for the two classes plus the helpers in the Subversion repository for Westwind.Utilities. You can grab the source files from there or download the whole project. You can also grab the full Westwind.Utilities assembly from NuGet and add it to your project if that's easier for you. PropertyBag Source Code SerializationUtils and XmlUtils Westwind.Utilities Assembly on NuGet (add from Visual Studio) © Rick Strahl, West Wind Technologies, 2005-2011Posted in .NET  CSharp   Tweet (function() { var po = document.createElement('script'); po.type = 'text/javascript'; po.async = true; po.src = 'https://apis.google.com/js/plusone.js'; var s = document.getElementsByTagName('script')[0]; s.parentNode.insertBefore(po, s); })();

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  • Using Oracle Proxy Authentication with JPA (eclipselink-Style)

    - by olaf.heimburger
    Security is a very intriguing topic. You will find it everywhere and you need to implement it everywhere. Yes, you need. Unfortunately, one can easily forget it while implementing the last mile. The Last Mile In a multi-tier application it is a common practice to use connection pools between the business layer and the database layer. Connection pools are quite useful to speed database connection creation and to split the load. Another very common practice is to use a specific, often called technical, user to connect to the database. This user has authentication and authorization rules that apply to all application users. Imagine you've put every effort to define roles for different types of users that use your application. These roles are necessary to differentiate between normal users, premium users, and administrators (I bet you will find or already have more roles in your application). While these user roles are pretty well used within your application, once the flow of execution enters the database everything is gone. Each and every user just has one role and is the same database user. Issues? What Issues? As long as things go well, this is not a real issue. However, things do not go well all the time. Once your application becomes famous performance decreases in certain situations or, more importantly, current and upcoming regulations and laws require that your application must be able to apply different security measures on a per user role basis at every stage of your application. If you only have a bunch of users with the same name and role you are not able to find the application usage profile that causes the performance issue, or which user has accessed data that he/she is not allowed to. Another thread to your role concept is that databases tend to be used by different applications and tools. These tools can be developer tools like SQL*Plus, SQL Developer, etc. or end user applications like BI Publisher, Oracle Forms and so on. These tools have no idea of your applications role concept and access the database the way they think is appropriate. A big oversight for your perfect role model and a big nightmare for your Chief Security Officer. Speaking of the CSO, brings up another issue: Password management. Once your technical user account is compromised, every user is able to do things that he/she is not expected to do from the design of your application. Counter Measures In the Oracle world a common counter measure is to use Virtual Private Database (VPD). This restricts the values a database user can see to the allowed minimum. However, it doesn't help in regard of a connection pool user, because this one is still not the real user. Oracle Proxy Authentication Another feature of the Oracle database is Proxy Authentication. First introduced with version 9i it is a quite useful feature for nearly every situation. The main idea behind Proxy Authentication is, to create a crippled database user who has only connect rights. Even if this user is compromised the risks are well understood and fairly limited. This user can be used in every situation in which you need to connect to the database, no matter which tool or application (see above) you use.The proxy user is perfect for multi-tier connection pools. CREATE USER app_user IDENTIFIED BY abcd1234; GRANT CREATE SESSION TO app_user; But what if you need to access real data? Well, this is the primary use case, isn't it? Now is the time to bring the application's role concept into play. You define database roles that define the grants for your identified user groups. Once you have these groups you grant access through the proxy user with the application role to the specific user. CREATE ROLE app_role_a; GRANT app_role_a TO scott; ALTER USER scott GRANT CONNECT THROUGH app_user WITH ROLE app_role_a; Now, hr has permission to connect to the database through the proxy user. Through the role you can restrict the hr's rights the are needed for the application only. If hr connects to the database directly all assigned role and permissions apply. Testing the Setup To test the setup you can use SQL*Plus and connect to your database: $ sqlplus app_user[hr]/abcd1234 Java Persistence API The Java Persistence API (JPA) is a fairly easy means to build applications that retrieve data from the database and put it into Java objects. You use plain old Java objects (POJOs) and mixin some Java annotations that define how the attributes of the object are used for storing data from the database into the Java object. Here is a sample for objects from the HR sample schema EMPLOYEES table. When using Java annotations you only specify what can not be deduced from the code. If your Java class name is Employee but the table name is EMPLOYEES, you need to specify the table name, otherwise it will fail. package demo.proxy.ejb; import java.io.Serializable; import java.sql.Timestamp; import java.util.List; import javax.persistence.Column; import javax.persistence.Entity; import javax.persistence.Id; import javax.persistence.JoinColumn; import javax.persistence.ManyToOne; import javax.persistence.NamedQueries; import javax.persistence.NamedQuery; import javax.persistence.OneToMany; import javax.persistence.Table; @Entity @NamedQueries({ @NamedQuery(name = "Employee.findAll", query = "select o from Employee o") }) @Table(name = "EMPLOYEES") public class Employee implements Serializable { @Column(name="COMMISSION_PCT") private Double commissionPct; @Column(name="DEPARTMENT_ID") private Long departmentId; @Column(nullable = false, unique = true, length = 25) private String email; @Id @Column(name="EMPLOYEE_ID", nullable = false) private Long employeeId; @Column(name="FIRST_NAME", length = 20) private String firstName; @Column(name="HIRE_DATE", nullable = false) private Timestamp hireDate; @Column(name="JOB_ID", nullable = false, length = 10) private String jobId; @Column(name="LAST_NAME", nullable = false, length = 25) private String lastName; @Column(name="PHONE_NUMBER", length = 20) private String phoneNumber; private Double salary; @ManyToOne @JoinColumn(name = "MANAGER_ID") private Employee employee; @OneToMany(mappedBy = "employee") private List employeeList; public Employee() { } public Employee(Double commissionPct, Long departmentId, String email, Long employeeId, String firstName, Timestamp hireDate, String jobId, String lastName, Employee employee, String phoneNumber, Double salary) { this.commissionPct = commissionPct; this.departmentId = departmentId; this.email = email; this.employeeId = employeeId; this.firstName = firstName; this.hireDate = hireDate; this.jobId = jobId; this.lastName = lastName; this.employee = employee; this.phoneNumber = phoneNumber; this.salary = salary; } public Double getCommissionPct() { return commissionPct; } public void setCommissionPct(Double commissionPct) { this.commissionPct = commissionPct; } public Long getDepartmentId() { return departmentId; } public void setDepartmentId(Long departmentId) { this.departmentId = departmentId; } public String getEmail() { return email; } public void setEmail(String email) { this.email = email; } public Long getEmployeeId() { return employeeId; } public void setEmployeeId(Long employeeId) { this.employeeId = employeeId; } public String getFirstName() { return firstName; } public void setFirstName(String firstName) { this.firstName = firstName; } public Timestamp getHireDate() { return hireDate; } public void setHireDate(Timestamp hireDate) { this.hireDate = hireDate; } public String getJobId() { return jobId; } public void setJobId(String jobId) { this.jobId = jobId; } public String getLastName() { return lastName; } public void setLastName(String lastName) { this.lastName = lastName; } public String getPhoneNumber() { return phoneNumber; } public void setPhoneNumber(String phoneNumber) { this.phoneNumber = phoneNumber; } public Double getSalary() { return salary; } public void setSalary(Double salary) { this.salary = salary; } public Employee getEmployee() { return employee; } public void setEmployee(Employee employee) { this.employee = employee; } public List getEmployeeList() { return employeeList; } public void setEmployeeList(List employeeList) { this.employeeList = employeeList; } public Employee addEmployee(Employee employee) { getEmployeeList().add(employee); employee.setEmployee(this); return employee; } public Employee removeEmployee(Employee employee) { getEmployeeList().remove(employee); employee.setEmployee(null); return employee; } } JPA could be used in standalone applications and Java EE containers. In both worlds you normally create a Facade to retrieve or store the values of the Entities to or from the database. The Facade does this via an EntityManager which will be injected by the Java EE container. Here is sample Facade Session Bean for a Java EE container. package demo.proxy.ejb; import java.util.HashMap; import java.util.List; import javax.ejb.Local; import javax.ejb.Remote; import javax.ejb.Stateless; import javax.persistence.EntityManager; import javax.persistence.PersistenceContext; import javax.persistence.Query; import javax.interceptor.AroundInvoke; import javax.interceptor.InvocationContext; import oracle.jdbc.driver.OracleConnection; import org.eclipse.persistence.config.EntityManagerProperties; import org.eclipse.persistence.internal.jpa.EntityManagerImpl; @Stateless(name = "DataFacade", mappedName = "ProxyUser-TestEJB-DataFacade") @Remote @Local public class DataFacadeBean implements DataFacade, DataFacadeLocal { @PersistenceContext(unitName = "TestEJB") private EntityManager em; private String username; public Object queryByRange(String jpqlStmt, int firstResult, int maxResults) { // setSessionUser(); Query query = em.createQuery(jpqlStmt); if (firstResult 0) { query = query.setFirstResult(firstResult); } if (maxResults 0) { query = query.setMaxResults(maxResults); } return query.getResultList(); } public Employee persistEmployee(Employee employee) { // setSessionUser(); em.persist(employee); return employee; } public Employee mergeEmployee(Employee employee) { // setSessionUser(); return em.merge(employee); } public void removeEmployee(Employee employee) { // setSessionUser(); employee = em.find(Employee.class, employee.getEmployeeId()); em.remove(employee); } /** select o from Employee o */ public List getEmployeeFindAll() { Query q = em.createNamedQuery("Employee.findAll"); return q.getResultList(); } Putting Both Together To use Proxy Authentication with JPA and within a Java EE container you have to take care of the additional requirements: Use an OCI JDBC driver Provide the user name that connects through the proxy user Use an OCI JDBC driver To use the OCI JDBC driver you need to set up your JDBC data source file to use the correct JDBC URL. hr jdbc:oracle:oci8:@(DESCRIPTION=(ADDRESS=(PROTOCOL=TCP)(HOST=localhost)(PORT=1521))(CONNECT_DATA=(SID=XE))) oracle.jdbc.OracleDriver user app_user 62C32F70E98297522AD97E15439FAC0E SQL SELECT 1 FROM DUAL jdbc/hrDS Application Additionally you need to make sure that the version of the shared libraries of the OCI driver match the version of the JDBC driver in your Java EE container or Java application and are within your PATH (on Windows) or LD_LIBRARY_PATH (on most Unix-based systems). Installing the Oracle Database Instance Client software works perfectly. Provide the user name that connects through the proxy user This part needs some modification of your application software and session facade. Session Facade Changes In the Session Facade we must ensure that every call that goes through the EntityManager must be prepared correctly and uniquely assigned to this session. The second is really important, as the EntityManager works with a connection pool and can not guarantee that we set the proxy user on the connection that will be used for the database activities. To avoid changing every method call of the Session Facade we provide a method to set the username of the user that connects through the proxy user. This method needs to be called by the Facade client bfore doing anything else. public void setUsername(String name) { username = name; } Next we provide a means to instruct the TopLink EntityManager Delegate to use Oracle Proxy Authentication. (I love small helper methods to hide the nitty-gritty details and avoid repeating myself.) private void setSessionUser() { setSessionUser(username); } private void setSessionUser(String user) { if (user != null && !user.isEmpty()) { EntityManagerImpl emDelegate = ((EntityManagerImpl)em.getDelegate()); emDelegate.setProperty(EntityManagerProperties.ORACLE_PROXY_TYPE, OracleConnection.PROXYTYPE_USER_NAME); emDelegate.setProperty(OracleConnection.PROXY_USER_NAME, user); emDelegate.setProperty(EntityManagerProperties.EXCLUSIVE_CONNECTION_MODE, "Always"); } } The final step is use the EJB 3.0 AroundInvoke interceptor. This interceptor will be called around every method invocation. We therefore check whether the Facade methods will be called or not. If so, we set the user for proxy authentication and the normal method flow continues. @AroundInvoke public Object proxyInterceptor(InvocationContext invocationCtx) throws Exception { if (invocationCtx.getTarget() instanceof DataFacadeBean) { setSessionUser(); } return invocationCtx.proceed(); } Benefits Using Oracle Proxy Authentification has a number of additional benefits appart from implementing the role model of your application: Fine grained access control for temporary users of the account, without compromising the original password. Enabling database auditing and logging. Better identification of performance bottlenecks. References Effective Oracle Database 10g Security by Design, David Knox TopLink Developer's Guide, Chapter 98

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  • How do I send automated e-mails from Drupal using Messaging and Notifications?

    - by Adrian
    I am working on a Notifications plugin, and after starting to write my notes down about how to do this, decided to just post them here. Please feel free to come make modifications and changes. Eventually I hope to post this on the Drupal handbook as well. Thanks. --Adrian Sending automated e-mails from Drupal using Messaging and Notifications To implement a notifications plugin, you must implement the following functions: Use hook_messaging, hook_token_list and hook_token_values to create the messages that will be sent. Use hook_notifications to create the subscription types Add code to fire events (eg in hook_nodeapi) Add all UI elements to allow users to subscribe/unsubscribe Understanding Messaging The Messaging module is used to compose messages that can be delivered using various formats, such as simple mail, HTML mail, Twitter updates, etc. These formats are called "send methods." The backend details do not concern us here; what is important are the following concepts: TOKENS: tokens are provided by the "tokens" module. They allow you to write keywords in square brackets, [like-this], that can be replaced by any arbitrary value. Note: the token groups you create must match the keys you add to the $events-objects[$key] array. MESSAGE KEYS: A key is a part of a message, such as the greetings line. Keys can be different for each send method. For example, a plaintext mail's greeting might be "Hi, [user]," while an HTML greeing might be "Hi, [user]," and Twitter's might just be "[user-firstname]: ". Keys can have any arbitrary name. Keys are very simple and only have a machine-readable name and a user-readable description, the latter of which is only seen by admins. MESSAGE GROUPS: A group is a bunch of keys that often, but not always, might be used together to make up a complete message. For example, a generic group might include keys for a greeting, body, closing and footer. Groups can also be "subclassed" by selecting a "fallback" group that will supply any keys that are missing. Groups are also associated with modules; I'm not sure what these are used for. Understanding Notifications The Notifications module revolves around the following concepts: SUBSCRIPTIONS: Notifications plugins may define one or more types of subscriptions. For example, notifications_content defines subscriptions for: Threads (users are notified whenever a node or its comments change) Content types (users are notified whenever a node of a certain type is created or is changed) Users (users are notified whenever another user is changed) Subscriptions refer to both the user who's subscribed, how often they wish to be notified, the send method (for Messaging) and what's being subscribed to. This last part is defined in two steps. Firstly, a plugin defines several "subscription fields" (through a hook_notifications op of the same name), and secondly, "subscription types" (also an op) defines which fields apply to each type of subscription. For example, notifications_content defines the fields "nid," "author" and "type," and the subscriptions "thread" (nid), "nodetype" (type), "author" (author) and "typeauthor" (type and author), the latter referring to something like "any STORY by JOE." Fields are used to link events to subscriptions; an event must match all fields of a subscription (for all normal subscriptions) to be delivered to the recipient. The $subscriptions object is defined in subsequent sections. Notifications prefers that you don't create these objects yourself, preferring you to call the notifications_get_link() function to create a link that users may click on, but you can also use notifications_save_subscription and notifications_delete_subscription to do it yourself. EVENTS: An event is something that users may be notified about. Plugins create the $event object then call notifications_event($event). This either sends out notifications immediately, queues them to send out later, or both. Events include the type of thing that's changed (eg 'node', 'user'), the ID of the thing that's changed (eg $node-nid, $user-uid) and what's happened to it (eg 'create'). These are, respectively, $event-type, $event-oid (object ID) and $event-action. Warning: notifications_content_nodeapi also adds a $event-node field, referring to the node itself and not just $event-oid = $node-nid. This is not used anywhere in the core notifications module; however, when the $event is passed back to the 'query' op (see below), we assume the node is still present. Events do not refer to the user they will be referred to; instead, Notifications makes the connection between subscriptions and events, using the subscriptions' fields. MATCHING EVENTS TO SUBSCRIPTIONS: An event matches a subscription if it has the same type as the event (eg "node") and if the event matches all the correct fields. This second step is determined by the "query" hook op, which is called with the $event object as a parameter. The query op is responsible for giving Notifications a value for all the fields defined by the plugin. For example, notifications_content defines the 'nid', 'type' and 'author' fields, so its query op looks like this (ignore the case where $event_or_user = 'user' for now): $event_or_user = $arg0; $event_type = $arg1; $event_or_object = $arg2; if ($event_or_user == 'event' && $event_type == 'node' && ($node = $event_or_object->node) || $event_or_user == 'user' && $event_type == 'node' && ($node = $event_or_object)) { $query[]['fields'] = array( 'nid' => $node->nid, 'type' => $node->type, 'author' => $node->uid, ); return $query; After extracting the $node from the $event, we set $query[]['fields'] to a dictionary defining, for this event, all the fields defined by the module. As you can tell from the presence of the $query object, there's way more you can do with this op, but they are not covered here. DIGESTING AND DEDUPING: Understanding the relationship between Messaging and Notifications Usually, the name of a message group doesn't matter, but when being used with Notifications, the names must follow very strict patterns. Firstly, they must start with the name "notifications," and then are followed by either "event" or "digest," depending on whether the message group is being used to represent either a single event or a group of events. For 'events,' the third part of the name is the "type," which we get from Notification's $event-type (eg: notifications_content uses 'node'). The last part of the name is the operation being performed, which comes from Notification's $event-action. For example: notifications-event-node-comment might refer to the message group used when someone comments on a node notifications-event-user-update to a user who's updated their profile Hyphens cannot appear anywhere other than to separate the parts of these words. For 'digest' messages, the third and fourth part of the name come from hook_notification's "event types" callback, specifically this line: $types[] = array( 'type' => 'node', 'action' => 'insert', ... 'digest' => array('node', 'type'), ); $types[] = array( 'type' => 'node', 'action' => 'update', ... 'digest' => array('node', 'nid'), ); In this case, the first event type (node insertion) will be digested with the notifications-digest-node-type message template providing the header and footer, likely saying something like "the following [type] was created." The second event type (node update) will be digested with the notifications-digest-node-nid message template. Data Structure and Callback Reference $event The $event object has the following members: $event-type: The type of event. Must match the type in hook_notification::"event types". {notifications_event} $event-action: The action the event describes. Most events are sorted by [$event-type][$event-action]. {notifications_event}. $event-object[$object_type]: All objects relevant to the event. For example, $event-object['node'] might be the node that the event describes. $object_type can come from the 'event types' hook (see below). The main purpose appears to be to be passed to token_replace_multiple as the second parameter. $event-object[$event-type] is assumed to exist in the short digest processing functions, but this doesn't appear to be used anywhere. Not saved in the database; loaded by hook_notifications::"event load" $event-oid: apparently unused. The id of the primary object relevant to this event (eg the node's nid). $event-module: apparently unused $event-params[$key]: Mainly a place for plugins to save random data. The main module will serialize the contents of this array but does not use it in any way. However, notifications_ui appears to do something weird with it, possibly by using subscriptions' fields as keys into this array. I'm not sure why though. hook_notifications op 'subscription types': returns an array of subscription types provided by the plugin, in the form $key = array(...) with the following members: event_type: this subscription can only match events whose $event-type has this value. Stored in the database as notifications.event_type for every individual subscription. Apparently, this can be overiden in code but I wouldn't try it (see notifications_save_subscription). fields: an unkeyed array of fields that must be matched by an event (in addition to the event_type) for it to match this subscription. Each element of this array must be a key of the array returned by op 'subscription fields' which in turn must be used by op 'query' to actually perform the matching. title: user-readable title for their subscriptions page (eg the 'type' column in user/%uid/notifications/subscriptions) description: a user-readable description. page callback: used to add a supplementary page at user/%uid/notifications/blah. This and the following are used by notifications_ui as a part of hook_menu_alter. Appears to be partially deprecated. user page: user/%uid/notifications/blah. op 'event types': returns an array of event types, with each event type being an array with the following members: type: this will match $event-type action: this will match $event-action digest: an array with two ordered (non-keyed) elements, "type" and "field." 'type' is used as an index into $event-objects. 'field' is also used to group events like so: $event-objects[$type]-$field. For example, 'field' might be 'nid' - if the object is a node, the digest lines will be grouped by node ID. Finally, both are used to find the correct Messaging template; see discussion above. description: used on the admin "Notifications-Events" page name: unused, use Messaging instead line: deprecated, use Messaging instead Other Stuff This is an example of the main query that inserts an event into the queue: INSERT INTO {notifications_queue} (uid, destination, sid, module, eid, send_interval, send_method, cron, created, conditions) SELECT DISTINCT s.uid, s.destination, s.sid, s.module, %d, // event ID s.send_interval, s.send_method, s.cron, %d, // time of the event s.conditions FROM {notifications} s INNER JOIN {notifications_fields} f ON s.sid = f.sid WHERE (s.status = 1) AND (s.event_type = '%s') // subscription type AND (s.send_interval >= 0) AND (s.uid <> %d) AND ( (f.field = '%s' AND f.intval IN (%d)) // everything from 'query' op OR (f.field = '%s' AND f.intval = %d) OR (f.field = '%s' AND f.value = '%s') OR (f.field = '%s' AND f.intval = %d)) GROUP BY s.uid, s.destination, s.sid, s.module, s.send_interval, s.send_method, s.cron, s.conditions HAVING s.conditions = count(f.sid)

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  • In Wireshark's Protocol Hierarchy Statistics screen, is the total byte count of a capture the sum of the Bytes column or just the top line (Frame)?

    - by Howiecamp
    Part 1 - I'm looking at Wireshark's Protocol Hierarchy Statistics screen (sample below), is the total byte count of the capture the sum of the Bytes column or just the top line (Frame)? I'm 99% that it's the latter because of protocol rollup but I wanted to conform. Part 2 - From Wireshark documentation on this screen, "Protocol layers can consist of packets that won't contain any higher layer protocol, so the sum of all higher layer packets may not sum up to the protocols packet count. Example: In the screenshot TCP has 85,83% but the sum of the subprotocols (HTTP, ...) is much less. This may be caused by TCP protocol overhead, e.g. TCP ACK packets won't be counted as packets of the higher layer)." Can you explain this?

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  • In XSLT is it possible to use the value of an xpath expression in a call to a template using an par

    - by Cell
    I am performing an xsl transform and in it I call a template with a param using the following code <xsl:call-template name="GenerateColumns"> <xsl:with-param name="curRow" select="$curRow"/> <xsl:with-param name="curCol" select="$curCol + 1"/> </xsl:call-template> This calls a template function which outputs part of a table element in HTML. The curRow and curCol are used to determine which row and column we are in the table. gbl_maxCols is set to the number of columns in an html table <xsl:template name="GenerateColumns"> <xsl:when test="$curCol &lt;= $gbl_maxCols"> <td> <xsl:attribute="colspan"> <xsl:value-of select="/page/column/@skipColumns"/> </xsl:attribute> </xsl:when> </xsl:template> The result of this function is a set of td elements, however some of these elements (those with a skipColumn attribute greater than 1 span more than 1 column, I need to skip this many columns with the next call to generateColumns. this works just like I would expect in the case where I simply increment the curCol param but I have a case where I need to use the value from the xml attribute skipColumns in the math to calculate the value for curCol. In the above case I iterate through all the columns and this works for the majority of my use cases. However in same cases I need to skip over some of the columns and need to pass in that value from the xml attribute to calculate how many columns I need to skip. My naive first attempt was something like this <xsl:call-template name="GenerateColumns"> <xsl:with-param name="curRow" select="$curRow"/> <xsl:with-param name="curCol" select="$curCol + /page/column/@skipColumns"/> </xsl:call-template> But unforutnately this does not seem to work. Is there any way to use an attribute from an xml page in the calculation for the value of a param in xsl. My xml page is something like this (edited heavily since the xml file is rather large) <page> <column name="blank" skipColumns="1"/> <column name="blank" skipColumns="1"/> <column name="test" skipColumns="3"/> <column name="blank" skipColumns="1"/> <column name="test2" skipColumns="6"/> </page> after all of this I would like to have a set of td elements like the following <td></td><td></td><td colSpan="3"></td><td></td><td colSpan="6"></td> if I just iterate through the columns I instead end up with something like this which gives me more td elements than I should have <td></td><td></td><td colSpan="3"></td><td></td><td colSpan="6"></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td> Edited to provide more information

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  • How do I code this relationship in SQLAlchemy?

    - by Martin Del Vecchio
    I am new to SQLAlchemy (and SQL, for that matter). I can't figure out how to code the idea I have in my head. I am creating a database of performance-test results. A test run consists of a test type and a number (this is class TestRun below) A test suite consists the version string of the software being tested, and one or more TestRun objects (this is class TestSuite below). A test version consists of all test suites with the given version name. Here is my code, as simple as I can make it: from sqlalchemy import * from sqlalchemy.ext.declarative import declarative_base from sqlalchemy.orm import relationship, backref, sessionmaker Base = declarative_base() class TestVersion (Base): __tablename__ = 'versions' id = Column (Integer, primary_key=True) version_name = Column (String) def __init__ (self, version_name): self.version_name = version_name class TestRun (Base): __tablename__ = 'runs' id = Column (Integer, primary_key=True) suite_directory = Column (String, ForeignKey ('suites.directory')) suite = relationship ('TestSuite', backref=backref ('runs', order_by=id)) test_type = Column (String) rate = Column (Integer) def __init__ (self, test_type, rate): self.test_type = test_type self.rate = rate class TestSuite (Base): __tablename__ = 'suites' directory = Column (String, primary_key=True) version_id = Column (Integer, ForeignKey ('versions.id')) version_ref = relationship ('TestVersion', backref=backref ('suites', order_by=directory)) version_name = Column (String) def __init__ (self, directory, version_name): self.directory = directory self.version_name = version_name # Create a v1.0 suite suite1 = TestSuite ('dir1', 'v1.0') suite1.runs.append (TestRun ('test1', 100)) suite1.runs.append (TestRun ('test2', 200)) # Create a another v1.0 suite suite2 = TestSuite ('dir2', 'v1.0') suite2.runs.append (TestRun ('test1', 101)) suite2.runs.append (TestRun ('test2', 201)) # Create another suite suite3 = TestSuite ('dir3', 'v2.0') suite3.runs.append (TestRun ('test1', 102)) suite3.runs.append (TestRun ('test2', 202)) # Create the in-memory database engine = create_engine ('sqlite://') Session = sessionmaker (bind=engine) session = Session() Base.metadata.create_all (engine) # Add the suites in version1 = TestVersion (suite1.version_name) version1.suites.append (suite1) session.add (suite1) version2 = TestVersion (suite2.version_name) version2.suites.append (suite2) session.add (suite2) version3 = TestVersion (suite3.version_name) version3.suites.append (suite3) session.add (suite3) session.commit() # Query the suites for suite in session.query (TestSuite).order_by (TestSuite.directory): print "\nSuite directory %s, version %s has %d test runs:" % (suite.directory, suite.version_name, len (suite.runs)) for run in suite.runs: print " Test '%s', result %d" % (run.test_type, run.rate) # Query the versions for version in session.query (TestVersion).order_by (TestVersion.version_name): print "\nVersion %s has %d test suites:" % (version.version_name, len (version.suites)) for suite in version.suites: print " Suite directory %s, version %s has %d test runs:" % (suite.directory, suite.version_name, len (suite.runs)) for run in suite.runs: print " Test '%s', result %d" % (run.test_type, run.rate) The output of this program: Suite directory dir1, version v1.0 has 2 test runs: Test 'test1', result 100 Test 'test2', result 200 Suite directory dir2, version v1.0 has 2 test runs: Test 'test1', result 101 Test 'test2', result 201 Suite directory dir3, version v2.0 has 2 test runs: Test 'test1', result 102 Test 'test2', result 202 Version v1.0 has 1 test suites: Suite directory dir1, version v1.0 has 2 test runs: Test 'test1', result 100 Test 'test2', result 200 Version v1.0 has 1 test suites: Suite directory dir2, version v1.0 has 2 test runs: Test 'test1', result 101 Test 'test2', result 201 Version v2.0 has 1 test suites: Suite directory dir3, version v2.0 has 2 test runs: Test 'test1', result 102 Test 'test2', result 202 This is not correct, since there are two TestVersion objects with the name 'v1.0'. I hacked my way around this by adding a private list of TestVersion objects, and a function to find a matching one: versions = [] def find_or_create_version (version_name): # Find existing for version in versions: if version.version_name == version_name: return (version) # Create new version = TestVersion (version_name) versions.append (version) return (version) Then I modified my code that adds the records to use it: # Add the suites in version1 = find_or_create_version (suite1.version_name) version1.suites.append (suite1) session.add (suite1) version2 = find_or_create_version (suite2.version_name) version2.suites.append (suite2) session.add (suite2) version3 = find_or_create_version (suite3.version_name) version3.suites.append (suite3) session.add (suite3) Now the output is what I want: Suite directory dir1, version v1.0 has 2 test runs: Test 'test1', result 100 Test 'test2', result 200 Suite directory dir2, version v1.0 has 2 test runs: Test 'test1', result 101 Test 'test2', result 201 Suite directory dir3, version v2.0 has 2 test runs: Test 'test1', result 102 Test 'test2', result 202 Version v1.0 has 2 test suites: Suite directory dir1, version v1.0 has 2 test runs: Test 'test1', result 100 Test 'test2', result 200 Suite directory dir2, version v1.0 has 2 test runs: Test 'test1', result 101 Test 'test2', result 201 Version v2.0 has 1 test suites: Suite directory dir3, version v2.0 has 2 test runs: Test 'test1', result 102 Test 'test2', result 202 This feels wrong to me; it doesn't feel right that I am manually keeping track of the unique version names, and manually adding the suites to the appropriate TestVersion objects. Is this code even close to being correct? And what happens when I'm not building the entire database from scratch, as in this example. If the database already exists, do I have to query the database's TestVersion table to discover the unique version names? Thanks in advance. I know this is a lot of code to wade through, and I appreciate the help.

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  • "FOR UPDATE" v/s "LOCK IN SHARE MODE" : Allow concurrent threads to read updated "state" value of locked row

    - by shadesco
    I have the following scenario: User X logs in to the application from location lc1: call it Ulc1 User X (has been hacked, or some friend of his knows his login credential, or he just logs in from a different browser on his machine,etc.. u got the point) logs in at the same time from location lc2: call it Ulc2 I am using a main servlet which : - gets a connection from database pooling - sets autocommit to false - executes a command that goes through app layers: if all successful, set autocommit to true in a "finally" statement, and closes connection. Else if an exception happens, rollback(). In my database (mysql/innoDb) i have a "history" table, with row columns: id(primary key) |username | date | topic | locked The column "locked" has by default value "false" and it serves as a flag that marks if a specific row is locked or not. Each row is specific to a user (as u can see from the username column) So back to the scenario: --Ulc1 sends the command to update his history from the db for date "D" and topic "T". --Ulc2 sends the same command to update history from the db for the same date "D" and same topic "T" at the exact same time. I want to implement an mysql/innoDB locking system that will enable whichever thread arriving to do the following check: Is column "locked" for this row true or not? if true, return a message to the user that " he is already updating the same data from another location" if not true (ie not locked) : flag it as locked and update then reset locked to false once finished. Which of these two mysql locking techniques, will actually allow the 2nd arriving thread from reading the "updated" value of the locked column to decide wt action to take?Should i use "FOR UPDATE" or "LOCK IN SHARE MODE"? This scenario explains what i want to accomplish: - Ulc1 thread arrives first: column "locked" is false, set it to true and continue updating process - Ulc2 thread arrives while Ulc1's transaction is still in process, and even though the row is locked through innoDb functionalities, it doesn't have to wait but in fact reads the "new" value of column locked which is "true", and so doesn't in fact have to wait till Ulc1 transaction commits to read the value of the "locked" column(anyway by that time the value of this column will already have been reset to false). I am not very experienced with the 2 types of locking mechanisms, what i understand so far is that LOCK IN SHARE MODE allow other transaction to read the locked row while FOR UPDATE doesn't even allow reading. But does this read gets on the updated value? or the 2nd arriving thread has to wait the first thread to commit to then read the value? Any recommendations about which locking mechanism to use for this scenario is appreciated. Also if there's a better way to "check" if the row has been locked (other than using a true/false column flag) please let me know about it. thank you SOLUTION (Jdbc pseudocode example based on @Darhazer's answer) Table : [ id(primary key) |username | date | topic | locked ] connection.setautocommit(false); //transaction-1 PreparedStatement ps1 = "Select locked from tableName for update where id="key" and locked=false); ps1.executeQuery(); //transaction 2 PreparedStatement ps2 = "Update tableName set locked=true where id="key"; ps2.executeUpdate(); connection.setautocommit(true);// here we allow other transactions threads to see the new value connection.setautocommit(false); //transaction 3 PreparedStatement ps3 = "Update tableName set aField="Sthg" where id="key" And date="D" and topic="T"; ps3.executeUpdate(); // reset locked to false PreparedStatement ps4 = "Update tableName set locked=false where id="key"; ps4.executeUpdate(); //commit connection.setautocommit(true);

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  • @OneToMany association joining on the wrong field

    - by april26
    I have 2 tables, devices which contains a list of devices and dev_tags, which contains a list of asset tags for these devices. The tables join on dev_serial_num, which is the primary key of neither table. The devices are unique on their ip_address field and they have a primary key identified by dev_id. The devices "age out" after 2 weeks. Therefore, the same piece of hardware can show up more than once in devices. I mention that to explain why there is a OneToMany relationship between dev_tags and devices where it seems that this should be a OneToOne relationship. So I have my 2 entities @Entity @Table(name = "dev_tags") public class DevTags implements Serializable { private Integer tagId; private String devTagId; private String devSerialNum; private List<Devices> devices; @Id @GeneratedValue @Column(name = "tag_id") public Integer getTagId() { return tagId; } public void setTagId(Integer tagId) { this.tagId = tagId; } @Column(name="dev_tag_id") public String getDevTagId() { return devTagId; } public void setDevTagId(String devTagId) { this.devTagId = devTagId; } @Column(name="dev_serial_num") public String getDevSerialNum() { return devSerialNum; } public void setDevSerialNum(String devSerialNum) { this.devSerialNum = devSerialNum; } @OneToMany(mappedBy="devSerialNum") public List<Devices> getDevices() { return devices; } public void setDevices(List<Devices> devices) { this.devices = devices; } } and this one public class Devices implements java.io.Serializable { private Integer devId; private Integer officeId; private String devSerialNum; private String devPlatform; private String devName; private OfficeView officeView; private DevTags devTag; public Devices() { } @Id @GeneratedValue(strategy = IDENTITY) @Column(name = "dev_id", unique = true, nullable = false) public Integer getDevId() { return this.devId; } public void setDevId(Integer devId) { this.devId = devId; } @Column(name = "office_id", nullable = false, insertable=false, updatable=false) public Integer getOfficeId() { return this.officeId; } public void setOfficeId(Integer officeId) { this.officeId = officeId; } @Column(name = "dev_serial_num", nullable = false, length = 64, insertable=false, updatable=false) @NotNull @Length(max = 64) public String getDevSerialNum() { return this.devSerialNum; } public void setDevSerialNum(String devSerialNum) { this.devSerialNum = devSerialNum; } @Column(name = "dev_platform", nullable = false, length = 64) @NotNull @Length(max = 64) public String getDevPlatform() { return this.devPlatform; } public void setDevPlatform(String devPlatform) { this.devPlatform = devPlatform; } @Column(name = "dev_name") public String getDevName() { return devName; } public void setDevName(String devName) { this.devName = devName; } @ManyToOne(fetch = FetchType.LAZY) @JoinColumn(name = "office_id") public OfficeView getOfficeView() { return officeView; } public void setOfficeView(OfficeView officeView) { this.officeView = officeView; } @ManyToOne() @JoinColumn(name="dev_serial_num") public DevTags getDevTag() { return devTag; } public void setDevTag(DevTags devTag) { this.devTag = devTag; } } I messed around a lot with @JoinColumn(name=) and the mappedBy attribute of @OneToMany and I just cannot get this right. I finally got the darn thing to compile, but the query is still trying to join devices.dev_serial_num to dev_tags.tag_id, the @Id for this entity. Here is the transcript from the console: 13:12:16,970 INFO [STDOUT] Hibernate: select devices0_.office_id as office5_2_, devices0_.dev_id as dev1_2_, devices0_.dev_id as dev1_156_1_, devices0_.dev_name as dev2_156_1_, devices0_.dev_platform as dev3_156_1_, devices0_.dev_serial_num as dev4_156_1_, devices0_.office_id as office5_156_1_, devtags1_.tag_id as tag1_157_0_, devtags1_.comment as comment157_0_, devtags1_.dev_serial_num as dev3_157_0_, devtags1_.dev_tag_id as dev4_157_0_ from ond.devices devices0_ left outer join ond.dev_tags devtags1_ on devices0_.dev_serial_num=devtags1_.tag_id where devices0_.office_id=? 13:12:16,970 INFO [IntegerType] could not read column value from result set: dev4_156_1_; Invalid value for getInt() - 'FDO1129Y2U4' 13:12:16,970 WARN [JDBCExceptionReporter] SQL Error: 0, SQLState: S1009 13:12:16,970 ERROR [JDBCExceptionReporter] Invalid value for getInt() - 'FDO1129Y2U4' That value for getInt() 'FD01129Y2U4' is a serial number, definitely not an Int! What am I missing/misunderstanding here? Can I join 2 tables on any fields I want or does at least one have to be a primary key?

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  • Do’s and Don’ts Building SharePoint Applications

    - by Bil Simser
    SharePoint is a great platform for building quick LOB applications. Simple things from employee time trackers to server and software inventory to full blown Help Desks can be crafted up using SharePoint from just customizing Lists. No programming necessary. However there are a few tricks I’ve painfully learned over the years that you can use for your own solutions. DO What’s In A Name? When you create a new list, column, or view you’ll commonly name it something like “Expense Reports”. However this has the ugly effect of creating a url to the list as “Expense%20Reports”. Or worse, an internal field name of “Expense_x0x0020_Reports” which is not only cryptic but hard to remember when you’re trying to find the column by internal name. While “Expense Reports 2011” is user friendly, “ExpenseReports2011” is not (unless you’re a programmer). So that’s not the solution. Well, not entirely. Instead when you create your column or list or view use the scrunched up name (I can’t think of the technical term for it right now) of “ExpenseReports2011”, “WomenAtTheOfficeThatAreMen” or “KoalaMeatIsGoodWhenBroiled”. After you’ve created it, go back and change the name to the more friendly “Silly Expense Reports That Nobody Reads”. The original internal name will be the url and code friendly one without spaces while the one used on data entry forms and view headers will be the human version. Smart Columns When building a view include columns that make sense. By default when you add a column the “Add to default view” is checked. Resist the urge to be lazy and leave it checked. Uncheck that puppy and decide consciously what columns should be included in the view. Pick columns that make sense to what the user is trying to do. This means you have to talk to the user. Yes, I know. That can be trying at times and even painful. Go ahead, talk to them. You might learn something. Find out what’s important to them and why. If they’re doing something repetitively as part of their job, try to make their life easier by including what’s most important to them. Do they really need to see the Created *and* Modified date of a document or do they just need the title and author? You’ll only find out after talking to them (or getting them drunk in a bar and leaving them in the back alley handcuffed to a garbage bin, don’t ask). Gotta Keep it Separated Hey, views are there for a reason. Use them. While “All Items” is a fine way to present a list of well, all items, it’s hardly sufficient to present a list of servers built before the Y2K bug hit. You’ll be scrolling the list for hours finally arriving at Page 387 of 12,591 and cursing that SharePoint guy for convincing you that putting your hardware into a list would be of any use to anyone. Next to collecting the data, presenting it is just as important. Views are often overlooked and many times ignored or misused. They’re the way you can slice and dice the data up so that you’re not trying to consume 3,000 years of human evolution on a single web page. Remember views can be filtered so feel free to create a view for each status or one for each operating system or one for each species of Information Worker you might be putting in that list or document library. Not only will it reduce the number of items someone sees at one time, it’ll also make the information that much more relevant. Also remember that each view is a separate page. Use it in navigation by creating a menu on the Quick Launch to each view. The discoverability of the Views menu isn’t overly obvious and if you violate the rule of columns (see Horizontally Scrolling below) the view menu doesn’t even show up until you shuffle the scroll bar to the left. Navigation links, big giant buttons, a screaming flashing “CLICK ME NOW” will help your users find their way. Sort It! Views are great so we’re building nice, rich views for the user. Awesomesauce. However sort is not very discoverable by the user. For example when you’re looking at a view how do you know if it’s ascending or descending and what is it sorted on. Maybe it’s sorted using two fields so what’s that all about? Help your users by letting them know the information they’re looking at is sorted. Maybe you name the view something appropriate like “Bogus Expense Claims Sorted By Deadbeats”. If you use the naming strategy just make sure you keep the name consistent with the description. In the previous example their better be a Deadbeat column so I can see the sort in action. Having a “Loser” column, while equally correct, is a little obtuse to the average Information Worker. Remember, they usually don’t use acronyms and even if they knew how to, it’s not immediately obvious to them that’s what you’re trying to convey. Another option is to simply drop a Content Editor Web Part above the list and explain exactly the view they’re looking at. Each view is it’s own page so one CEWP won’t be used across the board. Be descriptive in what the user is seeing but try to keep it brief. Dumping the first chapter of I, Claudius might be informative to the data but can gobble up screen real estate and miss the point of having the list. DO NOT Useless Attachments The attachments column is, in a word, useless. For the most part. Sure it indicates there’s an attachment on the list item but in the grand scheme of things that’s not overly informative. Maybe it is and by all means, if it makes sense to you include it. Colour it. Make it shine and stand like the Return of Clippy on every SharePoint list. Without it being functional it can be boring. EndUserSharePoint.com has an article to make the son of Clippy that much more useful so feel free to head over and check out this blog post by Paul Grenier on the task (Warning code ahead! Danger Will Robinson!) In any case, I would suggest you remove it from your views. Again if it’s important then include it but consider the jQuery solution above to make it functional. It’s added by default to views and one of things that people forget to clean up. Horizontal Scrolling Screen real estate is premium so building a list that contains 8,000 columns and stretches horizontally across 15 screens probably isn’t the most user friendly experience. Most users can’t figure out how to scroll vertically let alone horizontally so don’t make it even that more confusing for them. Take the Steve Krug approach in your view designs and try not to make the user think. Again views are your friend. Consider splitting up the data into views where one view contains 10 columns and other view contains the other 10. Okay, maybe your information doesn’t work that way but humans can only process 7 pieces of data at a time, 10 at most (then their heads explode and you don’t want to clean that mess up, especially on a Friday night before the big dance). It drives me batshit crazy when I see a view with 80 columns of data. I often ask the user “So what do you do with all this information”. The response is usually “With this data [the first 10 columns] I decide if I’m going to fire everyone, and with this data [the next 10 columns] I decide if I’m going to set the building on fire and collect the insurance”. It’s at that point I show them how to create two new views “People Who Are About To Get The Axe” and “Beach Time For The Executives”. Again, talk to your users and try to reason with them on cutting down the number of columns they see at once. Vertical Scrolling Another big faux pas I find is the use of multi-line comment fields in views. It’s not so bad when you have a statement like this in your view: “I really like, oh my god, thought I was going to scream when I saw this turtle then I decided what I was going to have for dinner and frankly I hate having to work late so when I was talking to the customer I thought, oh my god, what if the customer has turtles and then it appeared to me that I really was hungry so I'm going to have lunch now.” It’s fine if that’s the only column along with two or three others, but once you slap those 20 columns of data into the list, the comment field wraps and forms a new multi-page novel that takes up your entire screen. Do everyone a favour and just avoid adding the column to views. Train the user to just click through to the item if they need to see the contents. Duplicate Information Duplication is never good. Views and great as you can group data together. For example create a view of project status reports grouped by author. Then you can see what project manager is being a dip and not submitting their report. However if you group by author do you really need the Created By field as well in the view? Or if the view is grouped by Project then Author do you need both. Horizontal real estate is always at a premium so try not to clutter up the view with duplicate data like this. Oh  yeah, if you’re scratching your head saying “But Bil, if I don’t include the Project name in the view and I have a lot of items then how do I know which one I’m looking at”. That’s a hint that your grouping is too vague or you have too much data in the view based on that criteria. Filter it down a notch, create some views, and try to keep the group down to a single screen where you can see the group header at the top of the page. Again it’s just managing the information you have. Redundant, See Redundant This partially relates to duplicate information and smart columns but basically remember to not include the obvious in a view. Remember, don’t make me think. If you’ve gone to the trouble (and it was a lot of trouble wasn’t it?) to create separate views of your data by creating a “September Zombie Brain Sales”, “October Zombie Brain Sales”, etc. then please for the love of all that is holy do not include the Month and Product columns in your view. Similarly if you create a “My” view of anything (“My Favourite Brands of Spandex”, “My Co-Workers I Find The Urge To Disinfect”) then again, do not include the owner or author field (or whatever field you use to identify “My”). That’s just silly. Hope that helps! Happy customizing!

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  • 12c - Invisible Columns...

    - by noreply(at)blogger.com (Thomas Kyte)
    Remember when 11g first came out and we had "invisible indexes"?  It seemed like a confusing feature - indexes that would be maintained by modifications (hence slowing them down), but would not be used by queries (hence never speeding them up).  But - after you looked at them a while, you could see how they can be useful.  For example - to add an index in a running production system, an index used by the next version of the code to be introduced later that week - but not tested against the queries in version one of the application in place now.  We all know that when you add an index - one of three things can happen - a given query will go much faster, it won't affect a given query at all, or... It will make some untested query go much much slower than it used to.  So - invisible indexes allowed us to modify the schema in a 'safe' manner - hiding the change until we were ready for it.Invisible columns accomplish the same thing - the ability to introduce a change while minimizing any negative side effects of that change.  Normally when you add a column to a table - any program with a SELECT * would start seeing that column, and programs with an INSERT INTO T VALUES (...) would pretty much immediately break (an INSERT without a list of columns in it).  Now we can add a column to a table in an invisible fashion, the column will not show up in a DESCRIBE command in SQL*Plus, it will not be returned with a SELECT *, it will not be considered in an INSERT INTO T VALUES statement.  It can be accessed by any query that asks for it, it can be populated by an INSERT statement that references it, but you won't see it otherwise.For example, let's start with a simple two column table:ops$tkyte%ORA12CR1> create table t  2  ( x int,  3    y int  4  )  5  /Table created.ops$tkyte%ORA12CR1> insert into t values ( 1, 2 );1 row created.Now, we will add an invisible column to it:ops$tkyte%ORA12CR1> alter table t add                     ( z int INVISIBLE );Table altered.Notice that a DESCRIBE will not show us this column:ops$tkyte%ORA12CR1> desc t Name              Null?    Type ----------------- -------- ------------ X                          NUMBER(38) Y                          NUMBER(38)and existing inserts are unaffected by it:ops$tkyte%ORA12CR1> insert into t values ( 3, 4 );1 row created.A SELECT * won't see it either:ops$tkyte%ORA12CR1> select * from t;         X          Y---------- ----------         1          2         3          4But we have full access to it (in well written programs! The ones that use a column list in the insert and select - never relying on "defaults":ops$tkyte%ORA12CR1> insert into t (x,y,z)                         values ( 5,6,7 );1 row created.ops$tkyte%ORA12CR1> select x, y, z from t;         X          Y          Z---------- ---------- ----------         1          2         3          4         5          6          7and when we are sure that we are ready to go with this column, we can just modify it:ops$tkyte%ORA12CR1> alter table t modify z visible;Table altered.ops$tkyte%ORA12CR1> select * from t;         X          Y          Z---------- ---------- ----------         1          2         3          4         5          6          7I will say that a better approach to this - one that is available in 11gR2 and above - would be to use editioning views (part of Edition Based Redefinition - EBR ).  I would rather use EBR over this approach, but in an environment where EBR is not being used, or the editioning views are not in place, this will achieve much the same.Read these for information on EBR:http://www.oracle.com/technetwork/issue-archive/2010/10-jan/o10asktom-172777.htmlhttp://www.oracle.com/technetwork/issue-archive/2010/10-mar/o20asktom-098897.htmlhttp://www.oracle.com/technetwork/issue-archive/2010/10-may/o30asktom-082672.html

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