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  • Looking for an email/report templating engine with database backend - for end-users ...

    - by RizwanK
    We have a number of customers that we have to send monthly invoices too. Right now, I'm managing a codebase that does SQL queries against our customer database and billing database and places that data into emails - and sends it. I grow weary of maintaining this every time we want to include a new promotion or change our customer service phone numbers. So, I'm looking for a replacement to move more of this into the hands of those requesting the changes. In my ideal world, I need : A WYSIWYG (man, does anyone even say that anymore?) email editor that generates templates based upon the output from a Database Query. The ability to drag and drop various fields from the database query into the email template. Display of sample email results with the database query. Web application, preferably not requiring IIS. Involve as little code as possible for the end-user, but allow basic functionality (i.e. arrays/for loops) Either comes with it's own email delivery engine, or writes output in a way that I can easily write a Python script to deliver the email. Support for generic Database Connectors. (I need MSSQL and MySQL) F/OSS So ... can anyone suggest a project like this, or some tools that'd be useful for rolling my own? (My current alternative idea is using something like ERB or Tenjin, having them write the code, but not having live-preview for the editor would suck...)

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  • How do I install and use the cli53 tools on Windows?

    - by pavlos
    I'm trying to find the simplest way to import a large number of BIND zone files in to Route 53. I've had a quick look at the AWS CLI and AWS Tools for Windows PowerShell but they don't seem to include a zone file import option like the AWS Route53 GUI does. The cli53 utility on the other hand does, but is written in Python and appears to have a series of pre-requisites to get going which I'm having troubles working out for Windows. I can find plenty of examples of setting it up under Linux but only one reference to a PowerShell example here, but it doesn't explain how to install cli53 in the first place. The other option I'm exploring is to use the BIND to Amazon Route 53 Conversion Tool perl script to first convert the zone files to the Route53 CreateHostedZoneRequest XML format and then use the AWS New-R53HostedZone PowerShell cmdlet to import the zones. After the zones have been imported I'll be looking at running a script to validate what has been created in Route53 matches with the existing nameserver prior to updating each domains nameserver records - I was planning on whipping something up using the new PS4.0 Resolve-DnsName cmdlet, but let me know if you have any better suggestions. Any assistance would be greatly appreciated - thanks. (By the way, I had more reference links in my post but ServerFault won't allow me to post more than 2 links being a new member; and for this same reason I also can't comment on Vasili's example in the other linked thread)

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  • Lightweight Linux distro that includes developer tools? (or, the most BSD-like Linux)

    - by RevAaron
    I cut my teeth on Minix and Slackware 1.1, but I've been in the OS X Wilderness for the last few years. I'm trying to standardize on a Linux distribution for personal and work-related use on less powerful laptops and under virtualization. So far, NetBSD and OpenBSD are the best fit for my purposes- but after plenty of frustration I've come to the conclusion that I need to stick with Linux to get the hardware and software support that comes with it. What I like about NetBSD/OpenBSD that I'd like to keep: X, but no default KDE, GNOME or XFCE! A sensible /etc and dot file setup- startx calls xinit, xinit looks for ~/.xinitrc; nothing more complicated than that is needed. Command line tools and file-based configuration: I shouldn't need a GUI to connect to a WAP. Decent selection of binary packages; building from source is OK, but nothing source-only like Gentoo. pkg_add (BSD) and apt-get both have treated me well in the past. Modest RAM and HDD requirements: boot + X + awesome+ two xterms takes up 80 MB on OpenBSD and 240 MB on Debian 5 and Crunchbang In my experience, most "lightweight" and Live CDs focus on a nice desktop environment crammed into a CD or USB stick; once you add build-essentials you end up with something just about as bloated as Ubuntu or Debian full install. Crunchbang is a great example. Thanks in advance for all suggestions!

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  • PHP scripts randomly becoming really slow to respond - Database lockup?

    - by webnoob
    Hi All, I wasn't sure whether to post this here or on stackoverflow, so apologies if its in the wrong place. I have about 7 php scripts running on a centOS VPS. Each of these scripts contacts a game server and processes the logs, with the logs it either does some database queries or sends info back to the game server. I am having an issue where some of the scripts will randomly become REALLY slow to respond and I don't know where to start with my debugging. Each script connects to its own database schema but on the same MySQL server. Each script will do about 4 inserts per second and twice as many select statements on their respective databases. I thought a database lockup may cause the issue but some console messages that are read from the database are sent to the game servers console without issue every 30 seconds, even when the script is slow to responding to other commands. Non of the scripts are using a lot of memory or CPU power. About 0.1% each. I know this information is really vague but I don't know linux very well at all (in fact, top is about my limit) and I really don't know where to start debugging this. Thanks.

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

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

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  • As an admin, what tools do you use to log what you do to your boxes?

    - by Jerry
    I am more of a linux applications developer than an admin. Over time, I've built servers and maintained them, sometimes to offer services, mostly just to develop the applications I work on. Way back when I would create a file in my account to keep notes on what I did on each machine, so that I could replicate that when I migrated to other machines. Nowadays, I install something a private trac installation, install it's blog plugin, and then use that to make notes of everything I install, and most commands that I run, as well as the output. This provides me a combination wiki and blog that I find very useful as a "captain's log". I do this mostly so that when I migrate to a new clean machine, I have a much easier time in bringing it up. And yet, I am always amazed when I see others just install this, delete that, run this, setup this config, ... without seeming to use any way to actually note what they are doing. What do YOU do, and what tools are available? I am especially interested in the transition between maintaining a few machines for a few people and maintaining several to dozens of machines providing a real service. What are the best practices, and where can I find good resources? Thanks!

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  • Can SQL Server (2008) transaction logs handle the database being dropped and re-created?

    - by Ben
    We're trying to restore a database (created programatically by running a hand-crafted SQL script we have). Our backup routine is to create a full backup of every database on the SQL Server 2008 instance on a Saturday then automatic transaction logs (I assume these are created automatically anyway - we appear to have lots of log files, possibly one per transaction after the full backup was taken?). On Tuesday this week the database in question was dropped and another one with the exact same name and schema was created. SQL Server has continued to create transaction log files but it hasn't had chance to create a new full backup (that won't happen until next Saturday). Now as it turns out we need to restore the database to how it was on Thursday. This is after the "drop and re-create". My question is, is this possible? If it isn't, what exactly does SQL Server think that it's writing to those transaction logs created since the drop and re-create? (I understood they were kind of files containing a binary delta, which makes me think maybe we can restore from them?) I'm no DBA but then neither is our IT department, so I'm doing the best I can to resolve this. Any advice much appreciated!

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  • What tools can I use to locate the IP of a machine on my network?

    - by user134918
    I am logged in to a remote Windows Server machine and am trying to attach it to a VPN for a LAN that I am also connected to locally from another Windows machine using Remotr Desktop. I can connect the remote machine to the VPN but when I do so, I lose my remote desktop connection. I am now in a situation where I know/think that the remote machine is on my LAN, but do not know what its current IP is and can therefor not connect to it again. I do not have any control over the infrastructure, all I have is a remote machine that I do control, and another machine that I also control that is connected to the same LAN as I'm trying to get the remote machine on using the existing VPN. What tools are available for Windows to allow me to locate the machine on my LAN again? I am imagining that there must be a tool that broadcasts the machines new IP using multicast, or tries to log in to a server component running somewhere with a know IP. Effectively, I am looking for some software that I can run on my remote machine, as well as my local machine, to allow me to discover the new IP address (on the LAN) assigned to the remote machine after connecting to the VPN.

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  • Overview of SOA Diagnostics in 11.1.1.6

    - by ShawnBailey
    What tools are available for diagnosing SOA Suite issues? There are a variety of tools available to help you and Support diagnose SOA Suite issues in 11g but it can be confusing as to which tool is appropriate for a particular situation and what their relationships are. This blog post will introduce the various tools and attempt to clarify what each is for and how they are related. Let's first list the tools we'll be addressing: RDA: Remote Diagnostic Agent DFW: Diagnostic Framework Selective Tracing DMS: Dynamic Monitoring Service ODL: Oracle Diagnostic Logging ADR: Automatic Diagnostics Repository ADRCI: Automatic Diagnostics Repository Command Interpreter WLDF: WebLogic Diagnostic Framework This overview is not mean to be a comprehensive guide on using all of these tools, however, extensive reference materials are included that will provide many more details on their execution. Another point to note is that all of these tools are applicable for Fusion Middleware as a whole but specific products may or may not have implemented features to leverage them. A couple of the tools have a WebLogic Scripting Tool or 'WLST' interface. WLST is a command interface for executing pre-built functions and custom scripts against a domain. A detailed WLST tutorial is beyond the scope of this post but you can find general information here. There are more specific resources in the below sections. In this post when we refer to 'Enterprise Manager' or 'EM' we are referring to Enterprise Manager Fusion Middleware Control. RDA (Remote Diagnostic Agent) RDA is a standalone tool that is used to collect both static configuration and dynamic runtime information from the SOA environment. RDA is generally run manually from the command line against a domain or single server. When opening a new Service Request, including an RDA collection can dramatically decrease the back and forth required to collect logs and configuration information for Support. After installing RDA you configure it to use the SOA Suite module as decribed in the referenced resources. The SOA module includes the Oracle WebLogic Server (WLS) module by default in order to include all of the relevant information for the environment. In addition to this basic configuration there is also an advanced mode where you can set the number of thread dumps for the collections, log files, Incidents, etc. When would you use it? When creating a Service Request or otherwise working with Oracle resources on an issue, capturing environment snapshots to baseline your configuration or to diagnose an issue on your own. How is it related to the other tools? RDA is related to DFW in that it collects the last 10 Incidents from the server by default. In a similar manner, RDA is related to ODL through its collection of the diagnostic logs and these may contain information from Selective Tracing sessions. Examples of what it currently collects: (for details please see the links in the Resources section) Diagnostic Logs (ODL) Diagnostic Framework Incidents (DFW) SOA MDS Deployment Descriptors SOA Repository Summary Statistics Thread Dumps Complete Domain Configuration RDA Resources: Webcast Recording: Using RDA with Oracle SOA Suite 11g Blog Post: Diagnose SOA Suite 11g Issues Using RDA Download RDA How to Collect Analysis Information Using RDA for Oracle SOA Suite 11g Products [ID 1350313.1] How to Collect Analysis Information Using RDA for Oracle SOA Suite and BPEL Process Manager 11g [ID 1352181.1] Getting Started With Remote Diagnostic Agent: Case Study - Oracle WebLogic Server (Video) [ID 1262157.1] top DFW (Diagnostic Framework) DFW provides the ability to collect specific information for a particular problem when that problem occurs. DFW is included with your SOA Suite installation and deployed to the domain. Let's define the components of DFW. Diagnostic Dumps: Specific diagnostic collections that are defined at either the 'system' or product level. Examples would be diagnostic logs or thread dumps. Incident: A collection of Diagnostic Dumps associated with a particular problem Log Conditions: An Oracle Diagnostic Logging event that DFW is configured to listen for. If the event is identified then an Incident will be created. WLDF Watch: The WebLogic Diagnostic Framework or 'WLDF' is not a component of DFW, however, it can be a source of DFW Incident creation through the use of a 'Watch'. WLDF Notification: A Notification is a component of WLDF and is the link between the Watch and DFW. You can configure multiple Notification types in WLDF and associate them with your Watches. 'FMWDFW-notification' is available to you out of the box to allow for DFW notification of Watch execution. Rule: Defines a WLDF Watch or Log Condition for which we want to associate a set of Diagnostic Dumps. When triggered the specified dumps will be collected and added to the Incident Rule Action: Defines the specific Diagnostic Dumps to collect for a particular rule ADR: Automatic Diagnostics Repository; Defined for every server in a domain. This is where Incidents are stored Now let's walk through a simple flow: Oracle Web Services error message OWS-04086 (SOAP Fault) is generated on managed server 1 DFW Log Condition for OWS-04086 evaluates to TRUE DFW creates a new Incident in the ADR for managed server 1 DFW executes the specified Diagnostic Dumps and adds the output to the Incident In this case we'll grab the diagnostic log and thread dump. We might also want to collect the WSDL binding information and SOA audit trail When would you use it? When you want to automatically collect Diagnostic Dumps at a particular time using a trigger or when you want to manually collect the information. In either case it can be readily uploaded to Oracle Support through the Service Request. How is it related to the other tools? DFW generates Incidents which are collections of Diagnostic Dumps. One of the system level Diagonstic Dumps collects the current server diagnostic log which is generated by ODL and can contain information from Selective Tracing sessions. Incidents are included in RDA collections by default and ADRCI is a tool that is used to package an Incident for upload to Oracle Support. In addition, both ODL and DMS can be used to trigger Incident creation through DFW. The conditions and rules for generating Incidents can become quite complicated and the below resources go into more detail. A simpler approach to leveraging at least the Diagnostic Dumps is through WLST (WebLogic Scripting Tool) where there are commands to do the following: Create an Incident Execute a single Diagnostic Dump Describe a Diagnostic Dump List the available Diagnostic Dumps The WLST option offers greater control in what is generated and when. It can be a great help when collecting information for Support. There are overlaps with RDA, however, DFW is geared towards collecting specific runtime information when an issue occurs while existing Incidents are collected by RDA. There are 3 WLDF Watches configured by default in a SOA Suite 11g domain: Stuck Threads, Unchecked Exception and Deadlock. These Watches are enabled by default and will generate Incidents in ADR. They are configured to reset automatically after 30 seconds so they have the potential to create multiple Incidents if these conditions are consistent. The Incidents generated by these Watches will only contain System level Diagnostic Dumps. These same System level Diagnostic Dumps will be included in any application scoped Incident as well. Starting in 11.1.1.6, SOA Suite is including its own set of application scoped Diagnostic Dumps that can be executed from WLST or through a WLDF Watch or Log Condition. These Diagnostic Dumps can be added to an Incident such as in the earlier example using the error code OWS-04086. soa.config: MDS configuration files and deployed-composites.xml soa.composite: All artifacts related to the deployed composite soa.wsdl: Summary of endpoints configured for the composite soa.edn: EDN configuration summary if applicable soa.db: Summary DB information for the SOA repository soa.env: Coherence cluster configuration summary soa.composite.trail: Partial audit trail information for the running composite The current release of RDA has the option to collect the soa.wsdl and soa.composite Diagnostic Dumps. More Diagnostic Dumps for SOA Suite products are planned for future releases along with enhancements to DFW itself. DFW Resources: Webcast Recording: SOA Diagnostics Sessions: Diagnostic Framework Diagnostic Framework Documentation DFW WLST Command Reference Documentation for SOA Diagnostic Dumps in 11.1.1.6 top Selective Tracing Selective Tracing is a facility available starting in version 11.1.1.4 that allows you to increase the logging level for specific loggers and for a specific context. What this means is that you have greater capability to collect needed diagnostic log information in a production environment with reduced overhead. For example, a Selective Tracing session can be executed that only increases the log level for one composite, only one logger, limited to one server in the cluster and for a preset period of time. In an environment where dozens of composites are deployed this can dramatically reduce the volume and overhead of the logging without sacrificing relevance. Selective Tracing can be administered either from Enterprise Manager or through WLST. WLST provides a bit more flexibility in terms of exactly where the tracing is run. When would you use it? When there is an issue in production or another environment that lends itself to filtering by an available context criteria and increasing the log level globally results in too much overhead or irrelevant information. The information is written to the server diagnostic log and is exportable from Enterprise Manager How is it related to the other tools? Selective Tracing output is written to the server diagnostic log. This log can be collected by a system level Diagnostic Dump using DFW or through a default RDA collection. Selective Tracing also heavily leverages ODL fields to determine what to trace and to tag information that is part of a particular tracing session. Available Context Criteria: Application Name Client Address Client Host Composite Name User Name Web Service Name Web Service Port Selective Tracing Resources: Webcast Recording: SOA Diagnostics Session: Using Selective Tracing to Diagnose SOA Suite Issues How to Use Selective Tracing for SOA [ID 1367174.1] Selective Tracing WLST Reference top DMS (Dynamic Monitoring Service) DMS exposes runtime information for monitoring. This information can be monitored in two ways: Through the DMS servlet As exposed MBeans The servlet is deployed by default and can be accessed through http://<host>:<port>/dms/Spy (use administrative credentials to access). The landing page of the servlet shows identical columns of what are known as Noun Types. If you select a Noun Type you will see a table in the right frame that shows the attributes (Sensors) for the Noun Type and the available instances. SOA Suite has several exposed Noun Types that are available for viewing through the Spy servlet. Screenshots of the Spy servlet are available in the Knowledge Base article How to Monitor Runtime SOA Performance With the Dynamic Monitoring Service (DMS). Every Noun instance in the runtime is exposed as an MBean instance. As such they are generally available through an MBean browser and available for monitoring through WLDF. You can configure a WLDF Watch to monitor a particular attribute and fire a notification when the threshold is exceeded. A WLDF Watch can use the out of the box DFW notification type to notify DFW to create an Incident. When would you use it? When you want to monitor a metric or set of metrics either manually or through an automated system. When you want to trigger a WLDF Watch based on a metric exposed through DMS. How is it related to the other tools? DMS metrics can be monitored with WLDF Watches which can in turn notify DFW to create an Incident. DMS Resources: How to Monitor Runtime SOA Performance With the Dynamic Monitoring Service (DMS) [ID 1368291.1] How to Reset a SOA 11g DMS Metric DMS Documentation top ODL (Oracle Diagnostic Logging) ODL is the primary facility for most Fusion Middleware applications to log what they are doing. Whenever you change a logging level through Enterprise Manager it is ultimately exposed through ODL and written to the server diagnostic log. A notable exception to this is WebLogic Server which uses its own log format / file. ODL logs entries in a consistent, structured way using predefined fields and name/value pairs. Here's an example of a SOA Suite entry: [2012-04-25T12:49:28.083-06:00] [AdminServer] [ERROR] [] [oracle.soa.bpel.engine] [tid: [ACTIVE].ExecuteThread: '1' for queue: 'weblogic.kernel.Default (self-tuning)'] [userId: ] [ecid: 0963fdde7e77631c:-31a6431d:136eaa46cda:-8000-00000000000000b4,0] [errid: 41] [WEBSERVICE_PORT.name: BPELProcess2_pt] [APP: soa-infra] [composite_name: TestProject2] [J2EE_MODULE.name: fabric] [WEBSERVICE.name: bpelprocess1_client_ep] [J2EE_APP.name: soa-infra] Error occured while handling a post operation[[ When would you use it? You'll use ODL almost every time you want to identify and diagnose a problem in the environment. The entries are written to the server diagnostic log. How is it related to the other tools? The server diagnostic logs are collected by DFW and RDA. Selective Tracing writes its information to the diagnostic log as well. Additionally, DFW log conditions are triggered by ODL log events. ODL Resources: ODL Documentation top ADR (Automatic Diagnostics Repository) ADR is not a tool in and of itself but is where DFW stores the Incidents it creates. Every server in the domain has an ADR location which can be found under <SERVER_HOME>/adr. This is referred to the as the ADR 'Base' location. ADR also has what are known as 'Home' locations. Example: You have a domain called 'myDomain' and an associated managed server called 'myServer'. Your admin server is called 'AdminServer'. Your domain home directory is called 'myDomain' and it contains a 'servers' directory. The 'servers' directory contains a directory for the managed server called 'myServer' and here is where you'll find the 'adr' directory which is the ADR 'Base' location for myServer. To get to the ADR 'Home' locations we drill through a few levels: diag/ofm/myDomain/ In an 11.1.1.6 SOA Suite domain you will see 2 directories here, 'myServer' and 'soa-infra'. These are the ADR 'Home' locations. 'myServer' is the 'system' ADR home and contains system level Incidents. 'soa-infra' is the name that SOA Suite used to register with DFW and this ADR home contains SOA Suite related Incidents Each ADR home location contains a series of directories, one of which is called 'incident'. This is where your Incidents are stored. When would you use it? It's a good idea to check on these locations from time to time to see whether a lot of Incidents are being generated. They can be cleaned out by deleting the Incident directories or through the ADRCI tool. If you know that an Incident is of particular interest for an issue you're working with Oracle you can simply zip it up and provide it. How does it relate to the other tools? ADR is obviously very important for DFW since it's where the Incidents are stored. Incidents contain Diagnostic Dumps that may relate to diagnostic logs (ODL) and DMS metrics. The most recent 10 Incident directories are collected by RDA by default and ADRCI relies on the ADR locations to help manage the contents. top ADRCI (Automatic Diagnostics Repository Command Interpreter) ADRCI is a command line tool for packaging and managing Incidents. When would you use it? When purging Incidents from an ADR Home location or when you want to package an Incident along with an offline RDA collection for upload to Oracle Support. How does it relate to the other tools? ADRCI contains a tool called the Incident Packaging System or IPS. This is used to package an Incident for upload to Oracle Support through a Service Request. Starting in 11.1.1.6 IPS will attempt to collect an offline RDA collection and include it with the Incident package. This will only work if Perl is available on the path, otherwise it will give a warning and package only the Incident files. ADRCI Resources: How to Use the Incident Packaging System (IPS) in SOA 11g [ID 1381259.1] ADRCI Documentation top WLDF (WebLogic Diagnostic Framework) WLDF is functionality available in WebLogic Server since version 9. Starting with FMw 11g a link has been added between WLDF and the pre-existing DFW, the WLDF Watch Notification. Let's take a closer look at the flow: There is a need to monitor the performance of your SOA Suite message processing A WLDF Watch is created in the WLS console that will trigger if the average message processing time exceeds 2 seconds. This metric is monitored through a DMS MBean instance. The out of the box DFW Notification (the Notification is called FMWDFW-notification) is added to the Watch. Under the covers this notification is of type JMX. The Watch is triggered when the threshold is exceeded and fires the Notification. DFW has a listener that picks up the Notification and evaluates it according to its rules, etc When it comes to automatic Incident creation, WLDF is a key component with capabilities that will grow over time. When would you use it? When you want to monitor the WLS server log or an MBean metric for some condition and fire a notification when the Watch is triggered. How does it relate to the other tools? WLDF is used to automatically trigger Incident creation through DFW using the DFW Notification. WLDF Resources: How to Monitor Runtime SOA Performance With the Dynamic Monitoring Service (DMS) [ID 1368291.1] How To Script the Creation of a SOA WLDF Watch in 11g [ID 1377986.1] WLDF Documentation top

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  • how to access mysql table from wamp database using this php code? [migrated]

    - by user3909877
    how to access tables from database by using php in wamp server.i have done the following code but its not working for some reason.is there anything to put in 'action=""'.it is not giving any error but displaying the same page.i want to display table from database on any different entry in dropdown menu and pressing search button.. <p class="h2">Quick Search</p> <div class="sb2_opts"> <p> </p> <form method="post" action="" > <p>Enter your source and destination.</p> <p> From:</p> <select name="from"> <option value="Islamabad">Islamabad</option> <option value="Lahore">Lahore</option> <option value="murree">Murree</option> <option value="Muzaffarabad">Muzaffarabad</option> </select> <p> To:</p> <select name="To"> <option value="Islamabad">Islamabad</option> <option value="Lahore">Lahore</option> <option value="murree">Murree</option> <option value="Muzaffarabad">Muzaffarabad</option> </select> <input type="submit" value="search" /> </form> </form> </table> <?php if(isset($_POST['from']) and isset($_POST['To'])) { $from = $_POST['from'] ; $to = $_POST['To'] ; $table = array($from, $to); $con=mysqli_connect("localhost"); $mydb=mysql_select_db("homedb"); if (mysqli_connect_errno()) { echo "Failed to connect to MySQL: " . mysqli_connect_error(); } switch ($table) { case array ("Islamabad", "Lahore") : $result = mysqli_query($con,"SELECT * FROM flights"); echo "</flights>"; //table name is flights break; case array ("Islamabad", "Murree") : $result = mysqli_query($con,"SELECT * FROM `isb to murree`"); echo "</`isb to murree`>"; //table name isb to murree ; break; case array ("Islamabad", "Muzaffarabad") : $result = mysqli_query($con,"SELECT * FROM `isb to muzz`"); echo "</`isb to muzz`>"; break; //..... //...... default: echo "Your choice is nor valid !!"; } } mysqli_close($con); ?>

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  • sqllite and populating list view, android

    - by Rob Bushway
    I am populating a text and list view from a sqllite database. The data is populating from the cursor correctly (I see the list filling with text rows), but I'm not able to see the actual text in the rows - all I see are empty rows. For the life of me, I can't figure out what I'm not able to see the data in the text rows. My layouts: Tab layout: list layout: row layout: <?xml version="1.0" encoding="utf-8"?> / My topics activity package com.gotquestions.gqapp; import com.gotquestions.gqapp.R.layout; import android.R; import android.app.ListActivity; import android.database.Cursor; import android.database.SQLException; import android.os.Bundle; import android.widget.SimpleCursorAdapter; public class TopicsActivity extends ListActivity { private DataBaseHelper myDbHelper; public void onCreate(Bundle savedInstanceState) { super.onCreate(savedInstanceState); // DataBaseHelper myDbHelper = new DataBaseHelper(this); myDbHelper = new DataBaseHelper(this); //test try { myDbHelper.openDataBase(); }catch(SQLException sqle){ throw sqle; } setContentView(layout.list_layout); Cursor c = myDbHelper.fetchAllTopics(); startManagingCursor(c); String[] from = new String[] { DataBaseHelper.KEY_TITLE }; int[] to = new int[] { R.id.text1 }; // Now create an array adapter and set it to display using our row SimpleCursorAdapter notes = new SimpleCursorAdapter(this, layout.notes_row, c, from, to); setListAdapter(notes); myDbHelper.close(); } } My database helper: package com.gotquestions.gqapp; import java.io.FileOutputStream; import java.io.IOException; import java.io.InputStream; import java.io.OutputStream; import android.content.Context; import android.database.Cursor; import android.database.SQLException; import android.database.sqlite.SQLiteDatabase; import android.database.sqlite.SQLiteException; import android.database.sqlite.SQLiteOpenHelper; import android.util.Log; public class DataBaseHelper extends SQLiteOpenHelper{ //The Android's default system path of your application database. private static String DB_PATH = "/data/data/com.gotquestions.gqapp/databases/"; private static String DB_NAME = "gotquestions_database.mp3"; public static final String KEY_TITLE = "topic_title"; public static final String KEY_ARTICLE_TITLE = "article_title"; public static final String KEY_ROWID = "_id"; private static final String TAG = null; private SQLiteDatabase myDataBase; // private final Context myContext; /** * Constructor * Takes and keeps a reference of the passed context in order to access to the application assets and resources. * @param context */ public DataBaseHelper(Context context) { super(context, DB_NAME, null, 1); this.myContext = context; } /** * Creates a empty database on the system and rewrites it with your own database. * */ public void createDataBase() throws IOException{ boolean dbExist = checkDataBase(); if(dbExist){ //do nothing - database already exist }else{ //By calling this method and empty database will be created into the default system path //of your application so we are gonna be able to overwrite that database with our database. this.getReadableDatabase(); try { copyDataBase(); } catch (IOException e) { throw new Error("Error copying database"); } } } /** * Check if the database already exist to avoid re-copying the file each time you open the application. * @return true if it exists, false if it doesn't */ private boolean checkDataBase(){ SQLiteDatabase checkDB = null; try{ String myPath = DB_PATH + DB_NAME; checkDB = SQLiteDatabase.openDatabase(myPath, null, SQLiteDatabase.OPEN_READONLY); }catch(SQLiteException e){ //database does't exist yet. } if(checkDB != null){ checkDB.close(); } return checkDB != null ? true : false; } /** * Copies your database from your local assets-folder to the just created empty database in the * system folder, from where it can be accessed and handled. * This is done by transfering bytestream. * */ private void copyDataBase() throws IOException{ //Open your local db as the input stream InputStream myInput = myContext.getAssets().open(DB_NAME); // Path to the just created empty db String outFileName = DB_PATH + DB_NAME; //Open the empty db as the output stream OutputStream myOutput = new FileOutputStream(outFileName); //transfer bytes from the inputfile to the outputfile byte[] buffer = new byte[1024]; int length; while ((length = myInput.read(buffer))>0){ myOutput.write(buffer, 0, length); } //Close the streams myOutput.flush(); myOutput.close(); myInput.close(); } public void openDataBase() throws SQLException{ //Open the database String myPath = DB_PATH + DB_NAME; myDataBase = SQLiteDatabase.openDatabase(myPath, null, SQLiteDatabase.OPEN_READONLY); } @Override public synchronized void close() { if(myDataBase != null) myDataBase.close(); super.close(); } @Override public void onCreate(SQLiteDatabase db) { // TODO Auto-generated method stub } @Override public void onUpgrade(SQLiteDatabase db, int oldVersion, int newVersion) { Log.w(TAG, "Upgrading database from version " + oldVersion + " to " + newVersion + ", which will destroy all old data"); db.execSQL("DROP TABLE IF EXISTS titles"); onCreate(db); } public Cursor getTitle(long rowId) throws SQLException { Cursor mCursor = myDataBase.query(true, "topics", new String[] { KEY_ROWID, KEY_TITLE }, KEY_ROWID + "=" + rowId, null, null, null, null, null); if (mCursor != null) { mCursor.moveToFirst(); } return mCursor; } public Cursor fetchAllTopics() { return myDataBase.query("topics", new String[] {KEY_ROWID, KEY_TITLE}, null, null, null, null, null); }; public Cursor fetchAllFavorites() { return myDataBase.query("articles", new String[] { KEY_ROWID, KEY_ARTICLE_TITLE}, null, null, null, null, null); }; }

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  • Is there any er diagram tool in Windows that I can use to connect to a MySQL 4.1 database in Unix?

    - by melaos
    I have a few test databases in some Unix SUSE 8 servers and initially the plan was to find some tools which can directly create the ERD straight from the server until someone told me that I can find tools to connect from the Windows PC straight to the Unix MySQL database. So I saw MySQL query analyzer which can do this but unfortunately there are no options to create an ERD. So are there any tools, preferably open source or free which can do this? I've done some basic googling but didn't know what is the exact terms to use to search for this and have so far found nothing useful yet. Updates: I just found out that the latest version of workbench doesn't work MySQL 4.1 Enterprise Edition which is the version that I have! And I try to use fabFORCE DBDesigner but I can't even connect at all using that one :( What can work for this version of MySQL?

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  • Announcing Entity Framework Code-First (CTP5 release)

    - by ScottGu
    This week the data team released the CTP5 build of the new Entity Framework Code-First library.  EF Code-First enables a pretty sweet code-centric development workflow for working with data.  It enables you to: Develop without ever having to open a designer or define an XML mapping file Define model objects by simply writing “plain old classes” with no base classes required Use a “convention over configuration” approach that enables database persistence without explicitly configuring anything Optionally override the convention-based persistence and use a fluent code API to fully customize the persistence mapping I’m a big fan of the EF Code-First approach, and wrote several blog posts about it this summer: Code-First Development with Entity Framework 4 (July 16th) EF Code-First: Custom Database Schema Mapping (July 23rd) Using EF Code-First with an Existing Database (August 3rd) Today’s new CTP5 release delivers several nice improvements over the CTP4 build, and will be the last preview build of Code First before the final release of it.  We will ship the final EF Code First release in the first quarter of next year (Q1 of 2011).  It works with all .NET application types (including both ASP.NET Web Forms and ASP.NET MVC projects). Installing EF Code First You can install and use EF Code First CTP5 using one of two ways: Approach 1) By downloading and running a setup program.  Once installed you can reference the EntityFramework.dll assembly it provides within your projects.      or: Approach 2) By using the NuGet Package Manager within Visual Studio to download and install EF Code First within a project.  To do this, simply bring up the NuGet Package Manager Console within Visual Studio (View->Other Windows->Package Manager Console) and type “Install-Package EFCodeFirst”: Typing “Install-Package EFCodeFirst” within the Package Manager Console will cause NuGet to download the EF Code First package, and add it to your current project: Doing this will automatically add a reference to the EntityFramework.dll assembly to your project:   NuGet enables you to have EF Code First setup and ready to use within seconds.  When the final release of EF Code First ships you’ll also be able to just type “Update-Package EFCodeFirst” to update your existing projects to use the final release. EF Code First Assembly and Namespace The CTP5 release of EF Code First has an updated assembly name, and new .NET namespace: Assembly Name: EntityFramework.dll Namespace: System.Data.Entity These names match what we plan to use for the final release of the library. Nice New CTP5 Improvements The new CTP5 release of EF Code First contains a bunch of nice improvements and refinements. Some of the highlights include: Better support for Existing Databases Built-in Model-Level Validation and DataAnnotation Support Fluent API Improvements Pluggable Conventions Support New Change Tracking API Improved Concurrency Conflict Resolution Raw SQL Query/Command Support The rest of this blog post contains some more details about a few of the above changes. Better Support for Existing Databases EF Code First makes it really easy to create model layers that work against existing databases.  CTP5 includes some refinements that further streamline the developer workflow for this scenario. Below are the steps to use EF Code First to create a model layer for the Northwind sample database: Step 1: Create Model Classes and a DbContext class Below is all of the code necessary to implement a simple model layer using EF Code First that goes against the Northwind database: EF Code First enables you to use “POCO” – Plain Old CLR Objects – to represent entities within a database.  This means that you do not need to derive model classes from a base class, nor implement any interfaces or data persistence attributes on them.  This enables the model classes to be kept clean, easily testable, and “persistence ignorant”.  The Product and Category classes above are examples of POCO model classes. EF Code First enables you to easily connect your POCO model classes to a database by creating a “DbContext” class that exposes public properties that map to the tables within a database.  The Northwind class above illustrates how this can be done.  It is mapping our Product and Category classes to the “Products” and “Categories” tables within the database.  The properties within the Product and Category classes in turn map to the columns within the Products and Categories tables – and each instance of a Product/Category object maps to a row within the tables. The above code is all of the code required to create our model and data access layer!  Previous CTPs of EF Code First required an additional step to work against existing databases (a call to Database.Initializer<Northwind>(null) to tell EF Code First to not create the database) – this step is no longer required with the CTP5 release.  Step 2: Configure the Database Connection String We’ve written all of the code we need to write to define our model layer.  Our last step before we use it will be to setup a connection-string that connects it with our database.  To do this we’ll add a “Northwind” connection-string to our web.config file (or App.Config for client apps) like so:   <connectionStrings>          <add name="Northwind"          connectionString="data source=.\SQLEXPRESS;Integrated Security=SSPI;AttachDBFilename=|DataDirectory|\northwind.mdf;User Instance=true"          providerName="System.Data.SqlClient" />   </connectionStrings> EF “code first” uses a convention where DbContext classes by default look for a connection-string that has the same name as the context class.  Because our DbContext class is called “Northwind” it by default looks for a “Northwind” connection-string to use.  Above our Northwind connection-string is configured to use a local SQL Express database (stored within the \App_Data directory of our project).  You can alternatively point it at a remote SQL Server. Step 3: Using our Northwind Model Layer We can now easily query and update our database using the strongly-typed model layer we just built with EF Code First. The code example below demonstrates how to use LINQ to query for products within a specific product category.  This query returns back a sequence of strongly-typed Product objects that match the search criteria: The code example below demonstrates how we can retrieve a specific Product object, update two of its properties, and then save the changes back to the database: EF Code First handles all of the change-tracking and data persistence work for us, and allows us to focus on our application and business logic as opposed to having to worry about data access plumbing. Built-in Model Validation EF Code First allows you to use any validation approach you want when implementing business rules with your model layer.  This enables a great deal of flexibility and power. Starting with this week’s CTP5 release, EF Code First also now includes built-in support for both the DataAnnotation and IValidatorObject validation support built-into .NET 4.  This enables you to easily implement validation rules on your models, and have these rules automatically be enforced by EF Code First whenever you save your model layer.  It provides a very convenient “out of the box” way to enable validation within your applications. Applying DataAnnotations to our Northwind Model The code example below demonstrates how we could add some declarative validation rules to two of the properties of our “Product” model: We are using the [Required] and [Range] attributes above.  These validation attributes live within the System.ComponentModel.DataAnnotations namespace that is built-into .NET 4, and can be used independently of EF.  The error messages specified on them can either be explicitly defined (like above) – or retrieved from resource files (which makes localizing applications easy). Validation Enforcement on SaveChanges() EF Code-First (starting with CTP5) now automatically applies and enforces DataAnnotation rules when a model object is updated or saved.  You do not need to write any code to enforce this – this support is now enabled by default.  This new support means that the below code – which violates our above rules – will automatically throw an exception when we call the “SaveChanges()” method on our Northwind DbContext: The DbEntityValidationException that is raised when the SaveChanges() method is invoked contains a “EntityValidationErrors” property that you can use to retrieve the list of all validation errors that occurred when the model was trying to save.  This enables you to easily guide the user on how to fix them.  Note that EF Code-First will abort the entire transaction of changes if a validation rule is violated – ensuring that our database is always kept in a valid, consistent state. EF Code First’s validation enforcement works both for the built-in .NET DataAnnotation attributes (like Required, Range, RegularExpression, StringLength, etc), as well as for any custom validation rule you create by sub-classing the System.ComponentModel.DataAnnotations.ValidationAttribute base class. UI Validation Support A lot of our UI frameworks in .NET also provide support for DataAnnotation-based validation rules. For example, ASP.NET MVC, ASP.NET Dynamic Data, and Silverlight (via WCF RIA Services) all provide support for displaying client-side validation UI that honor the DataAnnotation rules applied to model objects. The screen-shot below demonstrates how using the default “Add-View” scaffold template within an ASP.NET MVC 3 application will cause appropriate validation error messages to be displayed if appropriate values are not provided: ASP.NET MVC 3 supports both client-side and server-side enforcement of these validation rules.  The error messages displayed are automatically picked up from the declarative validation attributes – eliminating the need for you to write any custom code to display them. Keeping things DRY The “DRY Principle” stands for “Do Not Repeat Yourself”, and is a best practice that recommends that you avoid duplicating logic/configuration/code in multiple places across your application, and instead specify it only once and have it apply everywhere. EF Code First CTP5 now enables you to apply declarative DataAnnotation validations on your model classes (and specify them only once) and then have the validation logic be enforced (and corresponding error messages displayed) across all applications scenarios – including within controllers, views, client-side scripts, and for any custom code that updates and manipulates model classes. This makes it much easier to build good applications with clean code, and to build applications that can rapidly iterate and evolve. Other EF Code First Improvements New to CTP5 EF Code First CTP5 includes a bunch of other improvements as well.  Below are a few short descriptions of some of them: Fluent API Improvements EF Code First allows you to override an “OnModelCreating()” method on the DbContext class to further refine/override the schema mapping rules used to map model classes to underlying database schema.  CTP5 includes some refinements to the ModelBuilder class that is passed to this method which can make defining mapping rules cleaner and more concise.  The ADO.NET Team blogged some samples of how to do this here. Pluggable Conventions Support EF Code First CTP5 provides new support that allows you to override the “default conventions” that EF Code First honors, and optionally replace them with your own set of conventions. New Change Tracking API EF Code First CTP5 exposes a new set of change tracking information that enables you to access Original, Current & Stored values, and State (e.g. Added, Unchanged, Modified, Deleted).  This support is useful in a variety of scenarios. Improved Concurrency Conflict Resolution EF Code First CTP5 provides better exception messages that allow access to the affected object instance and the ability to resolve conflicts using current, original and database values.  Raw SQL Query/Command Support EF Code First CTP5 now allows raw SQL queries and commands (including SPROCs) to be executed via the SqlQuery and SqlCommand methods exposed off of the DbContext.Database property.  The results of these method calls can be materialized into object instances that can be optionally change-tracked by the DbContext.  This is useful for a variety of advanced scenarios. Full Data Annotations Support EF Code First CTP5 now supports all standard DataAnnotations within .NET, and can use them both to perform validation as well as to automatically create the appropriate database schema when EF Code First is used in a database creation scenario.  Summary EF Code First provides an elegant and powerful way to work with data.  I really like it because it is extremely clean and supports best practices, while also enabling solutions to be implemented very, very rapidly.  The code-only approach of the library means that model layers end up being flexible and easy to customize. This week’s CTP5 release further refines EF Code First and helps ensure that it will be really sweet when it ships early next year.  I recommend using NuGet to install and give it a try today.  I think you’ll be pleasantly surprised by how awesome it is. Hope this helps, Scott

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  • Cursors 1 Sets 0

    - by GrumpyOldDBA
    I had an interesting experience with a database I essentially know nothing about. On the server is a database which stores session state, Microsoft provide the code/database with their dot net, so I'm told. Anyway this database has sat happily on the production server for the past 4 years I guess, we've finally made the upgrade to SQL 2008 and the ASPState database has also been upgraded. It seems most likely that the performance increase of our upgrade tipped the usage of this database into...(read more)

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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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  • Replication Services in a BI environment

    - by jorg
    In this blog post I will explain the principles of SQL Server Replication Services without too much detail and I will take a look on the BI capabilities that Replication Services could offer in my opinion. SQL Server Replication Services provides tools to copy and distribute database objects from one database system to another and maintain consistency afterwards. These tools basically copy or synchronize data with little or no transformations, they do not offer capabilities to transform data or apply business rules, like ETL tools do. The only “transformations” Replication Services offers is to filter records or columns out of your data set. You can achieve this by selecting the desired columns of a table and/or by using WHERE statements like this: SELECT <published_columns> FROM [Table] WHERE [DateTime] >= getdate() - 60 There are three types of replication: Transactional Replication This type replicates data on a transactional level. The Log Reader Agent reads directly on the transaction log of the source database (Publisher) and clones the transactions to the Distribution Database (Distributor), this database acts as a queue for the destination database (Subscriber). Next, the Distribution Agent moves the cloned transactions that are stored in the Distribution Database to the Subscriber. The Distribution Agent can either run at scheduled intervals or continuously which offers near real-time replication of data! So for example when a user executes an UPDATE statement on one or multiple records in the publisher database, this transaction (not the data itself) is copied to the distribution database and is then also executed on the subscriber. When the Distribution Agent is set to run continuously this process runs all the time and transactions on the publisher are replicated in small batches (near real-time), when it runs on scheduled intervals it executes larger batches of transactions, but the idea is the same. Snapshot Replication This type of replication makes an initial copy of database objects that need to be replicated, this includes the schemas and the data itself. All types of replication must start with a snapshot of the database objects from the Publisher to initialize the Subscriber. Transactional replication need an initial snapshot of the replicated publisher tables/objects to run its cloned transactions on and maintain consistency. The Snapshot Agent copies the schemas of the tables that will be replicated to files that will be stored in the Snapshot Folder which is a normal folder on the file system. When all the schemas are ready, the data itself will be copied from the Publisher to the snapshot folder. The snapshot is generated as a set of bulk copy program (BCP) files. Next, the Distribution Agent moves the snapshot to the Subscriber, if necessary it applies schema changes first and copies the data itself afterwards. The application of schema changes to the Subscriber is a nice feature, when you change the schema of the Publisher with, for example, an ALTER TABLE statement, that change is propagated by default to the Subscriber(s). Merge Replication Merge replication is typically used in server-to-client environments, for example when subscribers need to receive data, make changes offline, and later synchronize changes with the Publisher and other Subscribers, like with mobile devices that need to synchronize one in a while. Because I don’t really see BI capabilities here, I will not explain this type of replication any further. Replication Services in a BI environment Transactional Replication can be very useful in BI environments. In my opinion you never want to see users to run custom (SSRS) reports or PowerPivot solutions directly on your production database, it can slow down the system and can cause deadlocks in the database which can cause errors. Transactional Replication can offer a read-only, near real-time database for reporting purposes with minimal overhead on the source system. Snapshot Replication can also be useful in BI environments, if you don’t need a near real-time copy of the database, you can choose to use this form of replication. Next to an alternative for Transactional Replication it can be used to stage data so it can be transformed and moved into the data warehousing environment afterwards. In many solutions I have seen developers create multiple SSIS packages that simply copies data from one or more source systems to a staging database that figures as source for the ETL process. The creation of these packages takes a lot of (boring) time, while Replication Services can do the same in minutes. It is possible to filter out columns and/or records and it can even apply schema changes automatically so I think it offers enough features here. I don’t know how the performance will be and if it really works as good for this purpose as I expect, but I want to try this out soon!

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  • SPARC T4-4 Beats 8-CPU IBM POWER7 on TPC-H @3000GB Benchmark

    - by Brian
    Oracle's SPARC T4-4 server delivered a world record TPC-H @3000GB benchmark result for systems with four processors. This result beats eight processor results from IBM (POWER7) and HP (x86). The SPARC T4-4 server also delivered better performance per core than these eight processor systems from IBM and HP. Comparisons below are based upon system to system comparisons, highlighting Oracle's complete software and hardware solution. This database world record result used Oracle's Sun Storage 2540-M2 arrays (rotating disk) connected to a SPARC T4-4 server running Oracle Solaris 11 and Oracle Database 11g Release 2 demonstrating the power of Oracle's integrated hardware and software solution. The SPARC T4-4 server based configuration achieved a TPC-H scale factor 3000 world record for four processor systems of 205,792 QphH@3000GB with price/performance of $4.10/QphH@3000GB. The SPARC T4-4 server with four SPARC T4 processors (total of 32 cores) is 7% faster than the IBM Power 780 server with eight POWER7 processors (total of 32 cores) on the TPC-H @3000GB benchmark. The SPARC T4-4 server is 36% better in price performance compared to the IBM Power 780 server on the TPC-H @3000GB Benchmark. The SPARC T4-4 server is 29% faster than the IBM Power 780 for data loading. The SPARC T4-4 server is up to 3.4 times faster than the IBM Power 780 server for the Refresh Function. The SPARC T4-4 server with four SPARC T4 processors is 27% faster than the HP ProLiant DL980 G7 server with eight x86 processors on the TPC-H @3000GB benchmark. The SPARC T4-4 server is 52% faster than the HP ProLiant DL980 G7 server for data loading. The SPARC T4-4 server is up to 3.2 times faster than the HP ProLiant DL980 G7 for the Refresh Function. The SPARC T4-4 server achieved a peak IO rate from the Oracle database of 17 GB/sec. This rate was independent of the storage used, as demonstrated by the TPC-H @3000TB benchmark which used twelve Sun Storage 2540-M2 arrays (rotating disk) and the TPC-H @1000TB benchmark which used four Sun Storage F5100 Flash Array devices (flash storage). [*] The SPARC T4-4 server showed linear scaling from TPC-H @1000GB to TPC-H @3000GB. This demonstrates that the SPARC T4-4 server can handle the increasingly larger databases required of DSS systems. [*] The SPARC T4-4 server benchmark results demonstrate a complete solution of building Decision Support Systems including data loading, business questions and refreshing data. Each phase usually has a time constraint and the SPARC T4-4 server shows superior performance during each phase. [*] The TPC believes that comparisons of results published with different scale factors are misleading and discourages such comparisons. Performance Landscape The table lists the leading TPC-H @3000GB results for non-clustered systems. TPC-H @3000GB, Non-Clustered Systems System Processor P/C/T – Memory Composite(QphH) $/perf($/QphH) Power(QppH) Throughput(QthH) Database Available SPARC Enterprise M9000 3.0 GHz SPARC64 VII+ 64/256/256 – 1024 GB 386,478.3 $18.19 316,835.8 471,428.6 Oracle 11g R2 09/22/11 SPARC T4-4 3.0 GHz SPARC T4 4/32/256 – 1024 GB 205,792.0 $4.10 190,325.1 222,515.9 Oracle 11g R2 05/31/12 SPARC Enterprise M9000 2.88 GHz SPARC64 VII 32/128/256 – 512 GB 198,907.5 $15.27 182,350.7 216,967.7 Oracle 11g R2 12/09/10 IBM Power 780 4.1 GHz POWER7 8/32/128 – 1024 GB 192,001.1 $6.37 210,368.4 175,237.4 Sybase 15.4 11/30/11 HP ProLiant DL980 G7 2.27 GHz Intel Xeon X7560 8/64/128 – 512 GB 162,601.7 $2.68 185,297.7 142,685.6 SQL Server 2008 10/13/10 P/C/T = Processors, Cores, Threads QphH = the Composite Metric (bigger is better) $/QphH = the Price/Performance metric in USD (smaller is better) QppH = the Power Numerical Quantity QthH = the Throughput Numerical Quantity The following table lists data load times and refresh function times during the power run. TPC-H @3000GB, Non-Clustered Systems Database Load & Database Refresh System Processor Data Loading(h:m:s) T4Advan RF1(sec) T4Advan RF2(sec) T4Advan SPARC T4-4 3.0 GHz SPARC T4 04:08:29 1.0x 67.1 1.0x 39.5 1.0x IBM Power 780 4.1 GHz POWER7 05:51:50 1.5x 147.3 2.2x 133.2 3.4x HP ProLiant DL980 G7 2.27 GHz Intel Xeon X7560 08:35:17 2.1x 173.0 2.6x 126.3 3.2x Data Loading = database load time RF1 = power test first refresh transaction RF2 = power test second refresh transaction T4 Advan = the ratio of time to T4 time Complete benchmark results found at the TPC benchmark website http://www.tpc.org. Configuration Summary and Results Hardware Configuration: SPARC T4-4 server 4 x SPARC T4 3.0 GHz processors (total of 32 cores, 128 threads) 1024 GB memory 8 x internal SAS (8 x 300 GB) disk drives External Storage: 12 x Sun Storage 2540-M2 array storage, each with 12 x 15K RPM 300 GB drives, 2 controllers, 2 GB cache Software Configuration: Oracle Solaris 11 11/11 Oracle Database 11g Release 2 Enterprise Edition Audited Results: Database Size: 3000 GB (Scale Factor 3000) TPC-H Composite: 205,792.0 QphH@3000GB Price/performance: $4.10/QphH@3000GB Available: 05/31/2012 Total 3 year Cost: $843,656 TPC-H Power: 190,325.1 TPC-H Throughput: 222,515.9 Database Load Time: 4:08:29 Benchmark Description The TPC-H benchmark is a performance benchmark established by the Transaction Processing Council (TPC) to demonstrate Data Warehousing/Decision Support Systems (DSS). TPC-H measurements are produced for customers to evaluate the performance of various DSS systems. These queries and updates are executed against a standard database under controlled conditions. Performance projections and comparisons between different TPC-H Database sizes (100GB, 300GB, 1000GB, 3000GB, 10000GB, 30000GB and 100000GB) are not allowed by the TPC. TPC-H is a data warehousing-oriented, non-industry-specific benchmark that consists of a large number of complex queries typical of decision support applications. It also includes some insert and delete activity that is intended to simulate loading and purging data from a warehouse. TPC-H measures the combined performance of a particular database manager on a specific computer system. The main performance metric reported by TPC-H is called the TPC-H Composite Query-per-Hour Performance Metric (QphH@SF, where SF is the number of GB of raw data, referred to as the scale factor). QphH@SF is intended to summarize the ability of the system to process queries in both single and multiple user modes. The benchmark requires reporting of price/performance, which is the ratio of the total HW/SW cost plus 3 years maintenance to the QphH. A secondary metric is the storage efficiency, which is the ratio of total configured disk space in GB to the scale factor. Key Points and Best Practices Twelve Sun Storage 2540-M2 arrays were used for the benchmark. Each Sun Storage 2540-M2 array contains 12 15K RPM drives and is connected to a single dual port 8Gb FC HBA using 2 ports. Each Sun Storage 2540-M2 array showed 1.5 GB/sec for sequential read operations and showed linear scaling, achieving 18 GB/sec with twelve Sun Storage 2540-M2 arrays. These were stand alone IO tests. The peak IO rate measured from the Oracle database was 17 GB/sec. Oracle Solaris 11 11/11 required very little system tuning. Some vendors try to make the point that storage ratios are of customer concern. However, storage ratio size has more to do with disk layout and the increasing capacities of disks – so this is not an important metric in which to compare systems. The SPARC T4-4 server and Oracle Solaris efficiently managed the system load of over one thousand Oracle Database parallel processes. Six Sun Storage 2540-M2 arrays were mirrored to another six Sun Storage 2540-M2 arrays on which all of the Oracle database files were placed. IO performance was high and balanced across all the arrays. The TPC-H Refresh Function (RF) simulates periodical refresh portion of Data Warehouse by adding new sales and deleting old sales data. Parallel DML (parallel insert and delete in this case) and database log performance are a key for this function and the SPARC T4-4 server outperformed both the IBM POWER7 server and HP ProLiant DL980 G7 server. (See the RF columns above.) See Also Transaction Processing Performance Council (TPC) Home Page Ideas International Benchmark Page SPARC T4-4 Server oracle.com OTN Oracle Solaris oracle.com OTN Oracle Database 11g Release 2 Enterprise Edition oracle.com OTN Sun Storage 2540-M2 Array oracle.com OTN Disclosure Statement TPC-H, QphH, $/QphH are trademarks of Transaction Processing Performance Council (TPC). For more information, see www.tpc.org. SPARC T4-4 205,792.0 QphH@3000GB, $4.10/QphH@3000GB, available 5/31/12, 4 processors, 32 cores, 256 threads; IBM Power 780 QphH@3000GB, 192,001.1 QphH@3000GB, $6.37/QphH@3000GB, available 11/30/11, 8 processors, 32 cores, 128 threads; HP ProLiant DL980 G7 162,601.7 QphH@3000GB, $2.68/QphH@3000GB available 10/13/10, 8 processors, 64 cores, 128 threads.

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  • How to Visualize your Audit Data with BI Publisher?

    - by kanichiro.nishida
      Do you know how many reports on your BI Publisher server are accessed yesterday ? Or, how many users accessed to the reports yesterday, or what are the average number of the users accessed to the reports during the week vs. weekend or morning vs. afternoon ? With BI Publisher 11G, now you can audit your user’s reports access and understand the state of the reporting environment at your server, each user, or each report level. At the previous post I’ve talked about what the BI Publisher’s auditing functionality and how to enable it so that BI Publisher can start collecting such data. (How to Audit and Monitor BI Publisher Reports Access?)Now, how can you visualize such auditing data to have a better understanding and gain more insights? With Fusion Middleware Audit Framework you have an option to store the auditing data into a database instead of a log file, which is the default option. Once you enable the database storage option, that means you have your auditing data (or, user report access data) in your database tables, now no brainer, you can start visualize the data, create reports, analyze, and share with BI Publisher. So, first, let’s take a look on how to enable the database storage option for the auditing data. How to Feed the Auditing Data into Database First you need to create a database schema for Fusion Middleware Audit Framework with RCU (Repository Creation Utility). If you have already installed BI Publisher 11G you should be familiar with this RCU. It creates any database schema necessary to run any Fusion Middleware products including BI stuff. And you can use the same RCU that you used for your BI or BI Publisher installation to create this Audit schema. Create Audit Schema with RCU Here are the steps: Go to $RCU_HOME/bin and execute the ‘rcu’ command Choose Create at the starting screen and click Next. Enter your database details and click Next. Choose the option to create a new prefix, for example ‘BIP’, ‘KAN’, etc. Select 'Audit Services' from the list of schemas. Click Next and accept the tablespace creation. Click Finish to start the process. After this, there should be following three Audit related schema created in your database. <prefix>_IAU (e.g. KAN_IAU) <prefix>_IAU_APPEND (e.g. KAN_IAU_APPEND) <prefix>_IAU_VIEWER (e.g. KAN_IAU_VIEWER) Setup Datasource at WebLogic After you create a database schema for your auditing data, now you need to create a JDBC connection on your WebLogic Server so the Audit Framework can access to the database schema that was created with the RCU with the previous step. Connect to the Oracle WebLogic Server administration console: http://hostname:port/console (e.g. http://report.oracle.com:7001/console) Under Services, click the Data Sources link. Click ‘Lock & Edit’ so that you can make changes Click New –> ‘Generic Datasource’ to create a new data source. Enter the following details for the new data source:  Name: Enter a name such as Audit Data Source-0.  JNDI Name: jdbc/AuditDB  Database Type: Oracle  Click Next and select ‘Oracle's Driver (Thin XA) Versions: 9.0.1 or later’ as Database Driver (if you’re using Oracle database), and click Next. The Connection Properties page appears. Enter the following information: Database Name: Enter the name of the database (SID) to which you will connect. Host Name: Enter the hostname of the database.  Port: Enter the database port.  Database User Name: This is the name of the audit schema that you created in RCU. The suffix is always IAU for the audit schema. For example, if you gave the prefix as ‘BIP’, then the schema name would be ‘KAN_IAU’.  Password: This is the password for the audit schema that you created in RCU.   Click Next. Accept the defaults, and click Test Configuration to verify the connection. Click Next Check listed servers where you want to make this JDBC connection available. Click ‘Finish’ ! After that, make sure you click ‘Activate Changes’ at the left hand side top to take the new JDBC connection in effect. Register your Audit Data Storing Database to your Domain Finally, you can register the JNDI/JDBC datasource as your Auditing data storage with Fusion Middleware Control (EM). Here are the steps: 1. Login to Fusion Middleware Control 2. Navigate to Weblogic Domain, right click on ‘bifoundation…..’, select Security, then Audit Store. 3. Click the searchlight icon next to the Datasource JNDI Name field. 4.Select the Audit JNDI/JDBC datasource you created in the previous step in the pop-up window and click OK. 5. Click Apply to continue. 6. Restart the whole WebLogic Servers in the domain. After this, now the BI Publisher should start feeding all the auditing data into the database table called ‘IAU_BASE’. Try login to BI Publisher and open a couple of reports, you should see the activity audited in the ‘IAU_BASE’ table. If not working, you might want to check the log file, which is located at $BI_HOME/user_projects/domains/bifoundation_domain/servers/AdminServer/logs/AdminServer-diagnostic.log to see if there is any error. Once you have the data in the database table, now, it’s time to visualize with BI Publisher reports! Create a First BI Publisher Auditing Report Register Auditing Datasource as JNDI datasource First thing you need to do is to register the audit datasource (JNDI/JDBC connection) you created in the previous step as JNDI data source at BI Publisher. It is a JDBC connection registered as JNDI, that means you don’t need to create a new JDBC connection by typing the connection URL, username/password, etc. You can just register it using the JNDI name. (e.g. jdbc/AuditDB) Login to BI Publisher as Administrator (e.g. weblogic) Go to Administration Page Click ‘JNDI Connection’ under Data Sources and Click ‘New’ Type Data Source Name and JNDI Name. The JNDI Name is the one you created in the WebLogic Console as the auditing datasource. (e.g. jdbc/AuditDB) Click ‘Test Connection’ to make sure the datasource connection works. Provide appropriate roles so that the report developers or viewers can share this data source to view reports. Click ‘Apply’ to save. Create Data Model Select Data Model from the tool bar menu ‘New’ Set ‘Default Data Source’ to the audit JNDI data source you have created in the previous step. Select ‘SQL Query’ for your data set Use Query Builder to build a query or just type a sql query. Either way, the table you want to report against is ‘IAU_BASE’. This IAU_BASE table contains all the auditing data for other products running on the WebLogic Server such as JPS, OID, etc. So, if you care only specific to BI Publisher then you want to filter by using  ‘IAU_COMPONENTTYPE’ column which contains the product name (e.g. ’xmlpserver’ for BI Publisher). Here is my sample sql query. select     "IAU_BASE"."IAU_COMPONENTTYPE" as "IAU_COMPONENTTYPE",      "IAU_BASE"."IAU_EVENTTYPE" as "IAU_EVENTTYPE",      "IAU_BASE"."IAU_EVENTCATEGORY" as "IAU_EVENTCATEGORY",      "IAU_BASE"."IAU_TSTZORIGINATING" as "IAU_TSTZORIGINATING",    to_char("IAU_TSTZORIGINATING", 'YYYY-MM-DD') IAU_DATE,    to_char("IAU_TSTZORIGINATING", 'DAY') as IAU_DAY,    to_char("IAU_TSTZORIGINATING", 'HH24') as IAU_HH24,    to_char("IAU_TSTZORIGINATING", 'WW') as IAU_WEEK_OF_YEAR,      "IAU_BASE"."IAU_INITIATOR" as "IAU_INITIATOR",      "IAU_BASE"."IAU_RESOURCE" as "IAU_RESOURCE",      "IAU_BASE"."IAU_TARGET" as "IAU_TARGET",      "IAU_BASE"."IAU_MESSAGETEXT" as "IAU_MESSAGETEXT",      "IAU_BASE"."IAU_FAILURECODE" as "IAU_FAILURECODE",      "IAU_BASE"."IAU_REMOTEIP" as "IAU_REMOTEIP" from    "KAN3_IAU"."IAU_BASE" "IAU_BASE" where "IAU_BASE"."IAU_COMPONENTTYPE" = 'xmlpserver' Once you saved a sample XML for this data model, now you can create a report with this data model. Create Report Now you can use one of the BI Publisher’s layout options to design the report layout and visualize the auditing data. I’m a big fan of Online Layout Editor, it’s just so easy and simple to create reports, and on top of that, all the reports created with Online Layout Editor has the Interactive View with automatic data linking and filtering feature without any setting or coding. If you haven’t checked the Interactive View or Online Layout Editor you might want to check these previous blog posts. (Interactive Reporting with BI Publisher 11G, Interactive Master Detail Report Just A Few Clicks Away!) But of course, you can use other layout design option such as RTF template. Here are some sample screenshots of my report design with Online Layout Editor.     Visualize and Gain More Insights about your Customers (Users) ! Now you can visualize your auditing data to have better understanding and gain more insights about your reporting environment you manage. It’s been actually helping me personally to answer the  questios like below.  How many reports are accessed or opened yesterday, today, last week ? Who is accessing which report at what time ? What are the time windows when the most of the reports access happening ? What are the most viewed reports ? Who are the active users ? What are the # of reports access or user access trend for the last month, last 6 months, last 12 months, etc ? I was talking with one of the best concierge in the world at this hotel the other day, and he was telling me that the best concierge knows about their customers inside-out therefore they can provide a very private service that is customized to each customer to meet each customer’s specific needs. Well, this is true when it comes to how to administrate and manage your reporting environment, right ? The best way to serve your customers (report users, including both viewers and developers) is to understand how they use, what they use, when they use. Auditing is not just about compliance, but it’s the way to improve the customer service. The BI Publisher 11G Auditing feature enables just that to help you understand your customers better. Happy customer service, be the best reporting concierge! p.s. please share with us on what other information would be helpful for you for the auditing! Always, any feedback is a great value and inspiration for us!  

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  • How can I grant read-only access to my SQL Server 2008 database?

    - by Adrian Grigore
    Hi, I'm trying to grant read-only access (in other words: select queries only) to a user account on my SQL Server 2008 R2 database. Which rights do I have to grant to the user to make this work? I've tried several kinds of combinations of permissions on the server and the database itself, but in all cases the user could still run update queries or he could not run any queries (not even select) at all. The error message I always got was The server principal "foo" is not able to access the database "bar" under the current security context. Thanks for your help, Adrian

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  • Getting started with Access Services —Part1

    - by ybbest
    In SharePoint2010, we can publish the access database to SharePoint and make the access database accessible to users using SharePoint site. Today, I’d like to show you how to publish the access database to SharePoint. 1. Open the access2010 and click New>>Sample templates 2. And then select Issues Web Database (you can select any web database here, I choose the Issues Web Database here) 3. The next step is to publish this access database to SharePoint, you can do so by going to File>>  Save & Publish>> Publish to Access Services 4. Finally, fill in the details of the SharePoint site and site name and publish the database to SharePoint2010.If you need to publish the access database to https SharePoint site, check my previous blog here. 5. You will see the “publish succeeded” 6. Navigate to the site you will see now your Access Database is available online.

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  • SQL 2008 Mirroring, how to failover from the mirror database?

    - by Luis
    I have configured a database mirroring setup in SQL 2008 using the High-safety, Synchronous mode, without automatic failover. I don't have a Witness instance. Regarding high availability, I understand Mirroring is a better strategy than Log Shipping (faster and smoother failover), and cheaper than Clustering (because of license and hardware costs). According to the MS docs, to do the failover you need to access to the Principal database and in the "Mirror" options click the "Failover" button. But I want to do this from the Mirror database, because what would be the benefit as all this setup is being done in case the Principal server knocks down? Evidently I am missing something. If Mirroring is not a solution for server downtime (as would be Clustering, if I understand correctly), then which practical (i.e. real world examples) cases would benefit from Mirroring for high-availability purposes? Thank you very much for your response! I really need some enlightment.

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  • Best practice for storing HTML coming from text fields to a database?

    - by user1767270
    I have an application that allows users to edit certain parts of text and then email that out. My question is what is the best way to store this in a Microsoft SQL Server database. Right now I have two tables, one holding the HTML data and one holding the plain text data. When the user saves the info, it replaces newlines with br's and puts it in the HTML-conntaining table and then puts the regular text in the other table. This way the text box has the newlines when they go to edit, but the table that contains the HTML data, has the BR's. This seems like a silly way to do things. What would be the best practice? Thanks.

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  • Happy New Year! Upcoming Events in January 2011

    - by mandy.ho
    Oracle Database kicks off the New Year at the following events during the month of January. Hope to see you there and please send in your pictures and feedback! Jan 20, 2011 - San Francisco, CA LinkShare Symposium West 2011 Oracle is a proud Gold Sponsor at the LinkShare Symposium West 2011 January 20 in San Francisco, California. Year after year LinkShare has been bringing their network the opportunity to come to life. At the LinkShare Symposium online performance marketing leaders meet to optimize face-to-face during a full day of networking. Learn more by attending Oracle Breakout Session, "Omni - Channel Retailing, What is possible now?" on Thursday, January 20, 11:15 a.m. - 12:00 noon, Grand Ballroom. http://eventreg.oracle.com/webapps/events/ns/EventsDetail.jsp?p_eventId=128306&src=6954634&src=6954634&Act=397 Jan 24, 2011 - Cincinnati, OH Greater Cincinnati Oracle User Group Meeting "Tom Kyte Day" - Featuring a day of sessions presented by Senior Technical Architect, Tom Kyte. Sessions include "Top 10, no 11, new features of Oracle Database 11g Release 2" and "What do I really need to know when upgrading", plus more. http://www.gcoug.org/ Jan 25, 2011 - Vancouver, British Columbia Oracle Security Solutions Forum Featuring a Special Keynote Presentation from Tom Kyte - Complete Database Security Join us at this half-day event; Oracle Database Security Solutions: Complete Information Security. Learn how Oracle Database Security solutions help you: • Prevent external threats like SQL injection attacks from reaching your databases • Transparently encrypt application data without application changes • Prevent privileged database users and administrators from accessing data • Use native database auditing to monitor and report on database activity • Mask production data for safe use in nonproduction environments http://eventreg.oracle.com/webapps/events/ns/EventsDetail.jsp?p_eventId=126974&src=6958351&src=6958351&Act=97 Jan 26, 2011 - Halifax, Nova Scotia Oracle Database Security Technology Day Exclusive Seminar on Complete Information Security with Oracle Database 11g The amount of digital data within organizations is growing at unprecedented rates, as is the value of that data and the challenges of safeguarding it. Yet most IT security programs fail to address database security--specifically, insecure applications and privileged users. So how can you protect your mission-critical information? Avoid risky third-party solutions? Defend against security breaches and compliance violations? And resist costly new infrastructure investments? Join us at this half-day seminar, Oracle Database Security Solutions: Complete Information Security, to find out http://eventreg.oracle.com/webapps/events/ns/EventsDetail.jsp?p_eventId=126269&src=6958351&src=6958351&Act=93

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  • SQL SERVER – QUOTED_IDENTIFIER ON/OFF Explanation and Example – Question on Real World Usage

    - by Pinal Dave
    This is a follow up blog post of SQL SERVER – QUOTED_IDENTIFIER ON/OFF and ANSI_NULL ON/OFF Explanation. I wrote that blog six years ago and I had plans that I will write a follow up blog post of the same. Today, when I was going over my to-do list and I was surprised that I had an item there which was six years old and I never got to do that. In the earlier blog post I wrote about exploitation of the Quoted Identifier and ANSI Null. In this blog post we will see a quick example of Quoted Identifier. However, before we continue this blog post, let us see a refresh what both of Quoted Identifider do. QUOTED IDENTIFIER ON/OFF This option specifies the setting for use of double quotes. When this is on, double quotation mark is used as part of the SQL Server identifier (object name). This can be useful in situations in which identifiers are also SQL Server reserved words. In simple words when we have QUOTED IDENTIFIER ON, anything which is wrapped in double quotes becomes an object. E.g. -- The following will work SET QUOTED_IDENTIFIER ON GO CREATE DATABASE "Test1" GO -- The following will throw an error about Incorrect syntax near 'Test2'. SET QUOTED_IDENTIFIER OFF GO CREATE DATABASE "Test2" GO This feature is particularly helpful when we are working with reserved keywords in SQL Server. For example if you have to create a database with the name VARCHAR or INT or DATABASE you may want to put double quotes around your database name and turn on quoted identifiers to create a database with the such name. Personally, I do not think so anybody will ever create a database with the reserve keywords intentionally, as it will just lead to confusion. Here is another example to give you further clarity about how Quoted Idenifier setting works with SELECT statement. -- The following will throw an error about Invalid column name 'Column'. SET QUOTED_IDENTIFIER ON GO SELECT "Column" GO -- The following will work SET QUOTED_IDENTIFIER OFF GO SELECT "Column" GO Personally, I always use the following method to create database as it works irrespective of what is the quoted identifier’s status. It always creates objects with my desire name whenever I would like to create. CREATE DATABASE [Test3] I believe the future of the quoted identifier on or off is useful in the real world when we have script generated from another database where this setting was ON and we have to now execute the same script again in our environment again. Question to you - I personally have never used this feature as I mentioned earlier. I believe this feature is there to support the scripts which are generated in another SQL Database or generate the script for other database. Do you have a real world scenario where we need to turn on or off Quoted Identifiers. Click to Download Scripts Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL, Technology

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