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  • ???? ????? ????? ?????? ????? 10.2.0.4

    - by gadi.chen
    Normal 0 false false false EN-US X-NONE HE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin:0cm; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:10.0pt; font-family:"Times New Roman","serif";} DBA's ?????? ?????? ???? ??? ????? ??? ?????? ???? ????? ????? ??? ?????. ??? ????? ???? ????? ???? ??????? 30-Apr-2011  ???? ???? ?????? ????? ???? ??????? 10.2.0.4. ?????? ????? EBS ?? ????? ????? ????? ????? ??? ??? ???? ????? ?????? extended support, ???? ???? 11.5.10.2 ??? ???? ? 01-Dec-2011 . ) ????? ?????? ????  Minimum Baseline For Extended Support ????? ?????: 883202.1) ???? ????? ????? ?????? ?????? ?? ????? ????? ????? ????????? ???? ?? :   # ATG.RUP6 # Forms6i Patchset 19 # JRE 1.6.0_03       ???? ???? ?????? EBS ?? ????? ?????? ?????? ????? ???? ?????? ?? ,?? ??? ????? ?? ???? ??????.   ????? ???? 10.2.0.4 ?? ???? ?patches ????? ????  30-Apr-2011 . ???? ????  patches ????? ?? ????? ????? 10.2.0.5   .   ???? ????? EBS ????? 3 ?????? ?????? ?? ???: 1.      ????? ????? 11.2.0.2 - ??? ???? ????? ??????? ?????? ??? EBS ??????? 11i   ? R12 2.      ????? ????? 11.1.0.7 -  ??? ???? ????? ?????? ????? ????? 11.1 ??? ?????. 3.      ?????/????? patch 10.2.0.5 -   ???? ????? ?????? ????? ?????? ????? 10gR2 . v\:* {behavior:url(#default#VML);} o\:* {behavior:url(#default#VML);} w\:* {behavior:url(#default#VML);} .shape {behavior:url(#default#VML);} Normal 0 false false false false EN-US X-NONE HE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin:0cm; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:10.0pt; font-family:"Times New Roman","serif";}   ?????? ??????? ???? ??????:     http://blogs.oracle.com/stevenChan/2011/01/ecs_10gr2_10204.html On Database Patching and Support: A Primer for E-Business Suite Users Oracle Database 10.2 End of Premier Support -- Frequently Asked Questions (Note 1130327.1)        

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  • ANY way to consolidate this code?

    - by JM4
    I am building a PHP registration form which takes the following fields for up to 20 athletes: First Name Middle Initial Last Name Federation Number Address City State Zip DOB SSN Phone Email I am only through 7 of the fields for each fighter and my php file is very large (over 40kb). Is there ANY way to consolidate this code at all? I am also having to validate the information on each field (as I said - 20 athletes x 12 fields = 240 validations on a single page). If I can send any further code let me know! <form id="Form" action="<?php $_SERVER['PHP_SELF']; ?>" method="post" name="Form" onsubmit="return Enroll_Form_Validator(this)"> <p class="title">Your Fighters' Information</p> <p>Please complete the following fields with your <span style="color:red;"> Fighters' Information</span> to continue your enrollment.</p> <br /> <?php // if $errors is not empty, the form must have failed one or more validation // tests. Loop through each and display them on the page for the user if (!empty($errors)) { echo "<div class='error'>Please fix the following errors:\n<ul>"; foreach ($errors as $error) echo "<li>$error</li>\n"; echo "</ul></div>"; } ?> <?php if ($_SESSION['Num_Fighters'] > "0") { ?> <table class="demoTable"> <tr> <td>First Name: </td> <td><input type="text" name="F1FirstName" onkeyup="if(!this.value.match(/^([a-z]+\s?)*$/i))this.value=this.value.replace(/[^a-z ]/ig,'').replace(/\s+/g,' ')" value="<?php echo $fields['F1FirstName']; ?>" /></td> </tr> <tr> <td>Middle Initial: </td> <td><input type="text" name="F1MI" size="2" maxlength="1" onkeyup="if(!this.value.match(/^([a-z]+\s?)*$/i))this.value=this.value.replace(/[^a-z ]/ig,'').replace(/\s+/g,' ')" value="<?php echo $fields['F1MI']; ?>" /></td> </tr> <tr> <td>Last Name: </td> <td><input type="text" name="F1LastName" onkeyup="if(!this.value.match(/^([a-z]+\s?)*$/i))this.value=this.value.replace(/[^a-z ]/ig,'').replace(/\s+/g,' ')" value="<?php echo $fields['F1LastName']; ?>" /></td> </tr> <tr> <td>Federation No: </td> <td><input type="text" name="F1FedNum" maxlength="10" onkeyup="this.value=this.value.replace(/[^0-9]/ig, '')" value="<?php echo $fields['F1FedNum']; ?>" /></td> </tr> <tr> <td>SSN: </td> <td><input type="text" name="F1SSN1" size="3" maxlength="3" onkeyup="this.value=this.value.replace(/[^0-9]/ig, '')" value="<?php echo $fields['F1SSN1']; ?>" /> - <input type="text" name="F1SSN2" size="2" maxlength="2" onkeyup="this.value=this.value.replace(/[^0-9]/ig, '')" value="<?php echo $fields['F1SSN2']; ?>" /> - <input type="text" name="F1SSN3" size="4" maxlength="4" onkeyup="this.value=this.value.replace(/[^0-9]/ig, '')" value="<?php echo $fields['F1SSN3']; ?>" /> </td> </tr> <tr> <td>Date of Birth</td> <td> <select name="F1DOB1"> <option value="">Month</option> <?php for ($i=1; $i<=12; $i++) { echo "<option value='$i'"; if ($fields["F1DOB1"] == $i) echo " selected"; echo ">$i</option>"; } ?> </select> / <select name="F1DOB2"> <option value="">Day</option> <?php for ($i=1; $i<=31; $i++) { echo "<option value='$i'"; if ($fields["F1DOB2"] == $i) echo " selected"; echo ">$i</option>"; } ?> </select> / <select name="F1DOB3"> <option value="">Year</option> <?php for ($i=date('Y'); $i>=1900; $i--) { echo "<option value='$i'"; if ($fields["F1DOB3"] == $i) echo " selected"; echo ">$i</option>"; } ?> </select> </td> </tr> <tr> <td>Address: </td> <td><input type="text" name="F1Address" value="<?php echo $fields['F1Address']; ?>" /></td> </tr> <tr> <td>City: </td> <td><input type="text" name="F1City" onkeyup="if(!this.value.match(/^([a-z]+\s?)*$/i))this.value=this.value.replace(/[^a-z ]/ig,'').replace(/\s+/g,' ')" value="<?php echo $fields['F1City']; ?>" /></td> </tr> <tr> <td>State: </td> <td><select name="F1State"><option value="">Choose a State</option><?php showOptionsDrop($states_arr, null, true); ?></select></td> </tr> <tr> <td>Zip Code: </td> <td><input type="text" name="F1Zip" size="6" maxlength="5" onkeyup="this.value=this.value.replace(/[^0-9]/ig, '')" value="<?php echo $fields['F1Zip']; ?>" /></td> </tr> <tr> <td>Contact Telephone No: </td> <td>( <input type="text" name="F1Phone1" size="3" maxlength="3" onkeyup="this.value=this.value.replace(/[^0-9]/ig, '')" value="<?php echo $fields['F1Phone1']; ?>" /> ) <input type="text" name="F1Phone2" size="3" maxlength="3" onkeyup="this.value=this.value.replace(/[^0-9]/ig, '')" value="<?php echo $fields['F1Phone2']; ?>" /> - <input type="text" name="F1Phone3" size="4" maxlength="4" onkeyup="this.value=this.value.replace(/[^0-9]/ig, '')" value="<?php echo $fields['F1Phone3']; ?>" /> </td> </tr> <tr> <td>Email:</td> <td><input type="text" name="F1Email" value="<?php echo $fields['F1Email']; ?>" /></td> </tr> </table> <?php } ?> <br /> <?php if ($_SESSION['Num_Fighters'] > "1") { ?> <table class="demoTable"> <tr> <td>First Name: </td> <td><input type="text" name="F2FirstName" onkeyup="if(!this.value.match(/^([a-z]+\s?)*$/i))this.value=this.value.replace(/[^a-z ]/ig,'').replace(/\s+/g,' ')" value="<?php echo $fields['F2FirstName']; ?>" /></td> </tr> <tr> <td>Middle Initial: </td> <td><input type="text" name="F2MI" size="2" maxlength="1" onkeyup="if(!this.value.match(/^([a-z]+\s?)*$/i))this.value=this.value.replace(/[^a-z ]/ig,'').replace(/\s+/g,' ')" value="<?php echo $fields['F2MI']; ?>" /></td> </tr> <tr> <td>Last Name: </td> <td><input type="text" name="F2LastName" onkeyup="if(!this.value.match(/^([a-z]+\s?)*$/i))this.value=this.value.replace(/[^a-z ]/ig,'').replace(/\s+/g,' ')" value="<?php echo $fields['F2LastName']; ?>" /></td> </tr> <tr> <td>Federation No: </td> <td><input type="text" name="F2FedNum" maxlength="10" onkeyup="this.value=this.value.replace(/[^0-9]/ig, '')" value="<?php echo $fields['F2FedNum']; ?>" /></td> </tr> <tr> <td>SSN: </td> <td><input type="text" name="F2SSN1" size="3" maxlength="3" onkeyup="this.value=this.value.replace(/[^0-9]/ig, '')" value="<?php echo $fields['F2SSN1']; ?>" /> - <input type="text" name="F2SSN2" size="2" maxlength="2" onkeyup="this.value=this.value.replace(/[^0-9]/ig, '')" value="<?php echo $fields['F2SSN2']; ?>" /> - <input type="text" name="F2SSN3" size="4" maxlength="4" onkeyup="this.value=this.value.replace(/[^0-9]/ig, '')" value="<?php echo $fields['F2SSN3']; ?>" /> </td> </tr> <tr> <td>Date of Birth</td> <td> <select name="F2DOB1"> <option value="">Month</option> <?php for ($i=1; $i<=12; $i++) { echo "<option value='$i'"; if ($fields["F2DOB1"] == $i) echo " selected"; echo ">$i</option>"; } ?> </select> / <select name="F2DOB2"> <option value="">Day</option> <?php for ($i=1; $i<=31; $i++) { echo "<option value='$i'"; if ($fields["F2DOB2"] == $i) echo " selected"; echo ">$i</option>"; } ?> </select> / <select name="F2DOB3"> <option value="">Year</option> <?php for ($i=date('Y'); $i>=1900; $i--) { echo "<option value='$i'"; if ($fields["F2DOB3"] == $i) echo " selected"; echo ">$i</option>"; } ?> </select> </td> </tr> <tr> <td>Address: </td> <td><input type="text" name="F2Address" value="<?php echo $fields['F2Address']; ?>" /></td> </tr> <tr> <td>City: </td> <td><input type="text" name="F2City" onkeyup="if(!this.value.match(/^([a-z]+\s?)*$/i))this.value=this.value.replace(/[^a-z ]/ig,'').replace(/\s+/g,' ')" value="<?php echo $fields['F2City']; ?>" /></td> </tr> <tr> <td>State: </td> <td><select name="F2State"><option value="">Choose a State</option><?php showOptionsDrop($states_arr, null, true); ?></select></td> </tr> <tr> <td>Zip Code: </td> <td><input type="text" name="F2Zip" size="6" maxlength="5" onkeyup="this.value=this.value.replace(/[^0-9]/ig, '')" value="<?php echo $fields['F2Zip']; ?>" /></td> </tr> <tr> <td>Contact Telephone No: </td> <td>( <input type="text" name="F2Phone1" size="3" maxlength="3" onkeyup="this.value=this.value.replace(/[^0-9]/ig, '')" value="<?php echo $fields['F2Phone1']; ?>" /> ) <input type="text" name="F2Phone2" size="3" maxlength="3" onkeyup="this.value=this.value.replace(/[^0-9]/ig, '')" value="<?php echo $fields['F2Phone2']; ?>" /> - <input type="text" name="F2Phone3" size="4" maxlength="4" onkeyup="this.value=this.value.replace(/[^0-9]/ig, '')" value="<?php echo $fields['F2Phone3']; ?>" /> </td> </tr> <tr> <td>Email:</td> <td><input type="text" name="F2Email" value="<?php echo $fields['F2Email']; ?>" /></td> </tr> </table> <?php } ?> <br /> <?php if ($_SESSION['Num_Fighters'] > "2") { ?> <table class="demoTable"> <tr> <td>First Name: </td> <td><input type="text" name="F3FirstName" onkeyup="if(!this.value.match(/^([a-z]+\s?)*$/i))this.value=this.value.replace(/[^a-z ]/ig,'').replace(/\s+/g,' ')" value="<?php echo $fields['F3FirstName']; ?>" /></td> </tr> <tr> <td>Middle Initial: </td> <td><input type="text" name="F3MI" size="2" maxlength="1" onkeyup="if(!this.value.match(/^([a-z]+\s?)*$/i))this.value=this.value.replace(/[^a-z ]/ig,'').replace(/\s+/g,' ')" value="<?php echo $fields['F3MI']; ?>" /></td> </tr> <tr> <td>Last Name: </td> <td><input type="text" name="F3LastName" onkeyup="if(!this.value.match(/^([a-z]+\s?)*$/i))this.value=this.value.replace(/[^a-z ]/ig,'').replace(/\s+/g,' ')" value="<?php echo $fields['F3LastName']; ?>" /></td> </tr> <tr> <td>Federation No: </td> <td><input type="text" name="F3FedNum" maxlength="10" onkeyup="this.value=this.value.replace(/[^0-9]/ig, '')" value="<?php echo $fields['F3FedNum']; ?>" /></td> </tr> <tr> <td>SSN: </td> <td><input type="text" name="F3SSN1" size="3" maxlength="3" onkeyup="this.value=this.value.replace(/[^0-9]/ig, '')" value="<?php echo $fields['F3SSN1']; ?>" /> - <input type="text" name="F3SSN2" size="2" maxlength="2" onkeyup="this.value=this.value.replace(/[^0-9]/ig, '')" value="<?php echo $fields['F3SSN2']; ?>" /> - <input type="text" name="F3SSN3" size="4" maxlength="4" onkeyup="this.value=this.value.replace(/[^0-9]/ig, '')" value="<?php echo $fields['F3SSN3']; ?>" /> </td> </tr> <tr> <td>Date of Birth</td> <td> <select name="F3DOB1"> <option value="">Month</option> <?php for ($i=1; $i<=12; $i++) { echo "<option value='$i'"; if ($fields["F3DOB1"] == $i) echo " selected"; echo ">$i</option>"; } ?> </select> / <select name="F3DOB2"> <option value="">Day</option> <?php for ($i=1; $i<=31; $i++) { echo "<option value='$i'"; if ($fields["F3DOB2"] == $i) echo " selected"; echo ">$i</option>"; } ?> </select> / <select name="F3DOB3"> <option value="">Year</option> <?php for ($i=date('Y'); $i>=1900; $i--) { echo "<option value='$i'"; if ($fields["F3DOB3"] == $i) echo " selected"; echo ">$i</option>"; } ?> </select> </td> </tr> <tr> <td>Address: </td> <td><input type="text" name="F3Address" value="<?php echo $fields['F3Address']; ?>" /></td> </tr> <tr> <td>City: </td> <td><input type="text" name="F3City" onkeyup="if(!this.value.match(/^([a-z]+\s?)*$/i))this.value=this.value.replace(/[^a-z ]/ig,'').replace(/\s+/g,' ')" value="<?php echo $fields['F3City']; ?>" /></td> </tr> <tr> <td>State: </td> <td><select name="F3State"><option value="">Choose a State</option><?php showOptionsDrop($states_arr, null, true); ?></select></td> </tr> <tr> <td>Zip Code: </td> <td><input type="text" name="F3Zip" size="6" maxlength="5" onkeyup="this.value=this.value.replace(/[^0-9]/ig, '')" value="<?php echo $fields['F3Zip']; ?>" /></td> </tr> <tr> <td>Contact Telephone No: </td> <td>( <input type="text" name="F3Phone1" size="3" maxlength="3" onkeyup="this.value=this.value.replace(/[^0-9]/ig, '')" value="<?php echo $fields['F3Phone1']; ?>" /> ) <input type="text" name="F3Phone2" size="3" maxlength="3" onkeyup="this.value=this.value.replace(/[^0-9]/ig, '')" value="<?php echo $fields['F3Phone2']; ?>" /> - <input type="text" name="F3Phone3" size="4" maxlength="4" onkeyup="this.value=this.value.replace(/[^0-9]/ig, '')" value="<?php echo $fields['F3Phone3']; ?>" /> </td> </tr> <tr> <td>Email:</td> <td><input type="text" name="F3Email" value="<?php echo $fields['F3Email']; ?>" /></td> </tr> </table> <?php } ?> <br /> <?php if ($_SESSION['Num_Fighters'] > "3") { ?> <table class="demoTable"> <tr> <td>First Name: </td> <td><input type="text" name="F4FirstName" onkeyup="if(!this.value.match(/^([a-z]+\s?)*$/i))this.value=this.value.replace(/[^a-z ]/ig,'').replace(/\s+/g,' ')" value="<?php echo $fields['F4FirstName']; ?>" /></td> </tr> <tr> <td>Middle Initial: </td> <td><input type="text" name="F4MI" size="2" maxlength="1" onkeyup="if(!this.value.match(/^([a-z]+\s?)*$/i))this.value=this.value.replace(/[^a-z ]/ig,'').replace(/\s+/g,' ')" value="<?php echo $fields['F4MI']; ?>" /></td> </tr> <tr> <td>Last Name: </td> <td><input type="text" name="F4LastName" onkeyup="if(!this.value.match(/^([a-z]+\s?)*$/i))this.value=this.value.replace(/[^a-z ]/ig,'').replace(/\s+/g,' ')" value="<?php echo $fields['F4LastName']; ?>" /></td> </tr> <tr> <td>Federation No: </td> <td><input type="text" name="F4FedNum" maxlength="10" onkeyup="this.value=this.value.replace(/[^0-9]/ig, '')" value="<?php echo $fields['F4FedNum']; ?>" /></td> </tr> <tr> <td>SSN: </td> <td><input type="text" name="F4SSN1" size="3" maxlength="3" onkeyup="this.value=this.value.replace(/[^0-9]/ig, '')" value="<?php echo $fields['F4SSN1']; ?>" /> - <input type="text" name="F4SSN2" size="2" maxlength="2" onkeyup="this.value=this.value.replace(/[^0-9]/ig, '')" value="<?php echo $fields['F4SSN2']; ?>" /> - <input type="text" name="F4SSN3" size="4" maxlength="4" onkeyup="this.value=this.value.replace(/[^0-9]/ig, '')" value="<?php echo $fields['F4SSN3']; ?>" /> </td> </tr> <tr> <td>Date of Birth</td> <td> <select name="F4DOB1"> <option value="">Month</option> <?php for ($i=1; $i<=12; $i++) { echo "<option value='$i'"; if ($fields["F4DOB1"] == $i) echo " selected"; echo ">$i</option>"; } ?> </select> / <select name="F4DOB2"> <option value="">Day</option> <?php for ($i=1; $i<=31; $i++) { echo "<option value='$i'"; if ($fields["F4DOB2"] == $i) echo " selected"; echo ">$i</option>"; } ?> </select> / <select name="F4DOB3"> <option value="">Year</option> <?php for ($i=date('Y'); $i>=1900; $i--) { echo "<option value='$i'"; if ($fields["F4DOB3"] == $i) echo " selected"; echo ">$i</option>"; } ?> </select> </td> </tr> <tr> <td>Address: </td> <td><input type="text" name="F4Address" value="<?php echo $fields['F4Address']; ?>" /></td> </tr> <tr> <td>City: </td> <td><input type="text" name="F4City" onkeyup="if(!this.value.match(/^([a-z]+\s?)*$/i))this.value=this.value.replace(/[^a-z ]/ig,'').replace(/\s+/g,' ')" value="<?php echo $fields['F4City']; ?>" /></td> </tr> <tr> <td>State: </td> <td><select name="F4State"><option value="">Choose a State</option><?php showOptionsDrop($states_arr, null, true); ?></select></td> </tr> <tr> <td>Zip Code: </td> <td><input type="text" name="F4Zip" size="6" maxlength="5" onkeyup="this.value=this.value.replace(/[^0-9]/ig, '')" value="<?php echo $fields['F4Zip']; ?>" /></td> </tr> <tr> <td>Contact Telephone No: </td> <td>( <input type="text" name="F4Phone1" size="3" maxlength="3" onkeyup="this.value=this.value.replace(/[^0-9]/ig, '')" value="<?php echo $fields['F4Phone1']; ?>" /> ) <input type="text" name="F4Phone2" size="3" maxlength="3" onkeyup="this.value=this.value.replace(/[^0-9]/ig, '')" value="<?php echo $fields['F4Phone2']; ?>" /> - <input type="text" name="F4Phone3" size="4" maxlength="4" onkeyup="this.value=this.value.replace(/[^0-9]/ig, '')" value="<?php echo $fields['F4Phone3']; ?>" /> </td> </tr> <tr> <td>Email:</td> <td><input type="text" name="F4Email" value="<?php echo $fields['F4Email']; ?>" /></td> </tr> </table> <?php } ?> <div align="right"><input class="enrbutton" type="submit" name="submit" value="Continue" /></div> </form> This only goes through 4 athletes and I need it to capture 20. Any ideas? I am forced to keep all 200+ elements in SESSION assuming somebody enrolls 20 athletes.

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  • Challenge 19 – An Explanation of a Query

    - by Dave Ballantyne
    I have received a number of requests for an explanation of my winning query of TSQL Challenge 19. This involved traversing a hierarchy of employees and rolling a count of orders from subordinates up to superiors. The first concept I shall address is the hierarchyId , which is constructed within the CTE called cteTree.   cteTree is a recursive cte that will expand the parent-child hierarchy of the personnel in the table @emp.  One useful feature with a recursive cte is that data can be ‘passed’ from the parent to the child data.  The hierarchyId column is similar to the hierarchyId data type that was introduced in SQL Server 2008 and represents the position of the person within the organisation. Let us start with a simplistic example Albert manages Bob and Eddie.  Bob manages Carl and Dave. The hierarchyId will represent each person’s position in this relationship in a single field.  In this simple example we could append the userID together into a varchar field as detailed below. This will enable us to select a branch of the tree by filtering using Where hierarchyId  ‘1,2%’ to select Bob and all his subordinates.  Naturally, this is not comprehensive enough to provide a full solution, but as opposed to concatenating the Id’s together into a varchar datatyped column, we can apply the same theory to a varbinary.  By CASTing the ID’s into a datatype of varbinary(4) ,4 is used as 4 bytes of data are used to store an integer and building a hierarchyId  from those.  For example: The important point to bear in mind for later in the query is that the binary data generated is 'byte order comparable'. ie We can ORDER a dataset with it and the resulting data, will be in the order required. Now, would probably be a good time to download the example file and, after the cte ‘cteTree’, uncomment the line ‘select * from cteTree’.  Mark this and all prior code and execute.  This will show you how this theory directly relates to the actual challenge data.  The only deviation from the above, is that instead of using the ID of an employee, I have used the row_number() ranking function to order each level by LastName,Firstname.  This enables me to order by the HierarchyId in the final result set so that the result set is in the required order. Your output should be something like the below.  Notice also the ‘Level’ Column that contains the depth that the employee is within the tree.  I would encourage you to ‘play’ with the query, change the order in the row_number() or the length of the cast in the hierarchyId to see how that effects the outcome.  The next cte, ‘cteTreeWithOrderCount’, is a join between cteTree and the @ord table, and COUNT’s the number of orders per employee.  A LEFT JOIN is employed here to account for the occasion where an employee has made no sales.   Executing a ‘Select * from cteTreeWithOrderCount’ will return the result set as below.  The order here is unimportant as this is only a staging point of the data and only the final result set in a cte chain needs an Order by clause, unless TOP is utilised. cteExplode joins the above result set to the tally table (Nums) for Level Occurances.  So, if level is 2 then 2 rows are required.  This is done to expand the dataset, to create a new column (PathInc), which is the (n+1) integers contained within the heirarchyid.  For example, with the data for Robert King as given above, the below 3 rows will be returned. From this you can see that the pathinc column now contains the values for Andrew Fuller and Steven Buchanan who are Robert King’s superiors within the tree.    Finally cteSumUp, sums the orders for each person and their subordinates using the PathInc generated above, and the final select does the final simple mathematics and filters to restrict the result set to only the ‘original’ row per employee.

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  • Text Expansion Awareness for UX Designers: Points to Consider

    - by ultan o'broin
    Awareness of translated text expansion dynamics is important for enterprise applications UX designers (I am assuming all source text for translation is in English, though apps development can takes place in other natural languages too). This consideration goes beyond the standard 'character multiplication' rule and must take into account the avoidance of other layout tricks that a designer might be tempted to try. Follow these guidelines. For general text expansion, remember the simple rule that the shorter the word is in the English, the longer it will need to be in English. See the examples provided by Richard Ishida of the W3C and you'll get the idea. So, forget the 30 percent or one inch minimum expansion rule of the old Forms days. Unfortunately remembering convoluted text expansion rules, based as a percentage of the US English character count can be tough going. Try these: Up to 10 characters: 100 to 200% 11 to 20 characters: 80 to 100% 21 to 30 characters: 60 to 80% 31 to 50 characters: 40 to 60% 51 to 70 characters: 31 to 40% Over 70 characters: 30% (Source: IBM) So it might be easier to remember a rule that if your English text is less than 20 characters then allow it to double in length (200 percent), and then after that assume an increase by half the length of the text (50%). (Bear in mind that ADF can apply truncation rules on some components in English too). (If your text is stored in a database, developers must make sure the table column widths can accommodate the expansion of your text when translated based on byte size for the translated character and not numbers of characters. Use Unicode. One character does not equal one byte in the multilingual enterprise apps world.) Rely on a graceful transformation of translated text. Let all pages to resize dynamically so the text wraps and flow naturally. ADF pages supports this already. Think websites. Don't hard-code alignments. Use Start and End properties on components and not Left or Right. Don't force alignments of components on the page by using texts of a certain length as spacers. Use proper label positioning and anchoring in ADF components or other technologies. Remember that an increase in text length means an increase in vertical space too when pages are resized. So don't hard-code vertical heights for any text areas. Don't be tempted to manually create text or printed reports this way either. They cannot be translated successfully, and are very difficult to maintain in English. Use XML, HTML, RTF and so on. Check out what Oracle BI Publisher offers. Don't force wrapping by using tricks such as /n or /t characters or HTML BR tags or forced page breaks. Once the text is translated the alignment will be destroyed. The position of the breaking character or tag would need to be moved anyway, or even removed. When creating tables, then use table components. Don't use manually created tables that reply on word length to maintain column and row alignment. For example, don't use codeblock elements in HTML; use the proper table elements instead. Once translated, the alignment of manually formatted tabular data is destroyed. Finally, if there is a space restriction, then don't use made-up acronyms, abbreviations or some form of daft text speak to save space. Besides being incomprehensible in English, they may need full translations of the shortened words, even if they can be figured out. Use approved or industry standard acronyms according to the UX style rules, not as a space-saving device. Restricted Real Estate on Mobile Devices On mobile devices real estate is limited. Using shortened text is fine once it is comprehensible. Users in the mobile space prefer brevity too, as they are on the go, performing three-minute tasks, with no time to read lengthy texts. Using fragments and lightning up on unnecessary articles and getting straight to the point with imperative forms of verbs makes sense both on real estate and user experience grounds.

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  • Inequality joins, Asynchronous transformations and Lookups : SSIS

    - by jamiet
    It is pretty much accepted by SQL Server Integration Services (SSIS) developers that synchronous transformations are generally quicker than asynchronous transformations (for a description of synchronous and asynchronous transformations go read Asynchronous and synchronous data flow components). Notice I said “generally” and not “always”; there are circumstances where using asynchronous transformations can be beneficial and in this blog post I’ll demonstrate such a scenario, one that is pretty common when building data warehouses. Imagine I have a [Customer] dimension table that manages information about all of my customers as a slowly-changing dimension. If that is a type 2 slowly changing dimension then you will likely have multiple rows per customer in that table. Furthermore you might also have datetime fields that indicate the effective time period of each member record. Here is such a table that contains data for four dimension members {Terry, Max, Henry, Horace}: Notice that we have multiple records per customer and that the [SCDStartDate] of a record is equivalent to the [SCDEndDate] of the record that preceded it (if there was one). (Note that I am on record as saying I am not a fan of this technique of storing an [SCDEndDate] but for the purposes of clarity I have included it here.) Anyway, the idea here is that we will have some incoming data containing [CustomerName] & [EffectiveDate] and we need to use those values to lookup [Customer].[CustomerId]. The logic will be: Lookup a [CustomerId] WHERE [CustomerName]=[CustomerName] AND [SCDStartDate] <= [EffectiveDate] AND [EffectiveDate] <= [SCDEndDate] The conventional approach to this would be to use a full cached lookup but that isn’t an option here because we are using inequality conditions. The obvious next step then is to use a non-cached lookup which enables us to change the SQL statement to use inequality operators: Let’s take a look at the dataflow: Notice these are all synchronous components. This approach works just fine however it does have the limitation that it has to issue a SQL statement against your lookup set for every row thus we can expect the execution time of our dataflow to increase linearly in line with the number of rows in our dataflow; that’s not good. OK, that’s the obvious method. Let’s now look at a different way of achieving this using an asynchronous Merge Join transform coupled with a Conditional Split. I’ve shown it post-execution so that I can include the row counts which help to illustrate what is going on here: Notice that there are more rows output from our Merge Join component than on the input. That is because we are joining on [CustomerName] and, as we know, we have multiple records per [CustomerName] in our lookup set. Notice also that there are two asynchronous components in here (the Sort and the Merge Join). I have embedded a video below that compares the execution times for each of these two methods. The video is just over 8minutes long. View on Vimeo  For those that can’t be bothered watching the video I’ll tell you the results here. The dataflow that used the Lookup transform took 36 seconds whereas the dataflow that used the Merge Join took less than two seconds. An illustration in case it is needed: Pretty conclusive proof that in some scenarios it may be quicker to use an asynchronous component than a synchronous one. Your mileage may of course vary. The scenario outlined here is analogous to performance tuning procedural SQL that uses cursors. It is common to eliminate cursors by converting them to set-based operations and that is effectively what we have done here. Our non-cached lookup is performing a discrete operation for every single row of data, exactly like a cursor does. By eliminating this cursor-in-disguise we have dramatically sped up our dataflow. I hope all of that proves useful. You can download the package that I demonstrated in the video from my SkyDrive at http://cid-550f681dad532637.skydrive.live.com/self.aspx/Public/BlogShare/20100514/20100514%20Lookups%20and%20Merge%20Joins.zip Comments are welcome as always. @Jamiet Share this post: email it! | bookmark it! | digg it! | reddit! | kick it! | live it!

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  • OWB 11gR2 - Find and Search Metadata in Designer

    - by David Allan
    Here are some tools and techniques for finding objects, specifically in the design repository. There are ways of navigating and collating objects that are useful for day to day development and build-time usage - this includes features out of the box and utilities constructed on top. There are a variety of techniques to navigate and find objects in the repository, the first 3 are out of the box, the 4th is an expert utility. Navigating by the tree, grouping by project and module - ok if you are aware of the exact module/folder that objects reside in. The structure panel is a useful way of finding parts of an object, especially when large rather than using the canvas. In large scale projects it helps to have accelerators (either find or collections below). Advanced find to search by name - 11gR2 included a find capability specifically for large scale projects. There were improvements in both the tree search and the object editors (including highlighting in mapping for example). So you can now do regular expression based search and quickly navigate to objects within a repository. Collections - logically organize your objects into virtual folders by shortcutting the actual objects. This is useful for a range of things since all the OWB services operate on collections too (export/import, validation, deployment). See the post here for new collection functionality in 11gR2. Reports for searching by type, updated on, updated by etc. Useful for activities such as periodic incremental actions (deploy all mappings changed in the past week). The report style view is useful since I can quickly see who changed what and when. You can see all the audit details for objects within each objects property inspector, but its useful to just get all objects changed today or example, all objects changed since my last build etc. This utility combines both UI extensions via experts and the public views on the repository. In the figure to the right you see the contextual option 'Object Search' which invokes the utility, you can see I have quite a number of modules within my project. Figure out all the potential objects which have been changed is not simple. The utility is an expert which provides this kind of search capability. The utility provides a report of the objects in the design repository which satisfy some filter criteria. The type of criteria includes; objects updated in the last n days optionally filter the objects updated by user filter the user by project and by type (table/mappings etc.) The search dialog appears with these options, you can multi-select the object types, so for example you can select TABLE and MAPPING. Its also possible to search across projects if need be. If you have multiple users using the repository you can define the OWB user name in the 'Updated by' property to restrict the report to just that user also. Finally there is a search name that will be used for some of the options such as building a collection - this name is used for the collection to be built. In the example I have done, I've just searched my project for all process flows and mappings that users have updated in the last 7 days. The results of the query are returned in a table containing the object names, types, full path and audit details. The columns are sort-able, you can sort the results by name, type, path etc. One of the cool things here, is that you can then perform operations on these objects - such as edit them, export single selection or entire results to MDL, create a collection from the results (now you have a saved set of references in the repository, you could do deploy/export etc.), create a deployment script from the results...or even add in your own ideas! You see from this that you can do bulk operations on sets of objects based on search results. So for example selecting the 'Build Collection' option creates a collection with all of the objects from my search, you can subsequently deploy/generate/maintain this collection of objects. Under the hood of the expert if just basic OMB commands from the product and the use of the public views on the design repository. You can see how easy it is to build up macro-like capabilities that will help you do day-to-day as well as build like tasks on sets of objects.

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  • List of all states from COMPOSITE_INSTANCE, CUBE_INSTANCE, DLV_MESSAGE tables

    - by Deepak Arora
    In many of my engagements I get asked repeatedly about the states of the composites in 11g and how to decipher them, especially when we are troubleshooting issues around purging. I have compiled a list of all the states from the COMPOSITE_INSTANCE, CUBE_INSTANCE, DLV_MESSAGE and MEDIATOR_INSTANCE tables. These are the primary tables that are used when using BPEL composites and how they are used with the ECID.  Composite State Values COMPOSITE_INSTANCE States State Description 0 Running 1 Completed 2 Running with faults 3 Completed with faults 4 Running with recovery required 5 Completed with recovery required 6 Running with faults and recovery required 7 Completed with faults and recovery required 8 Running with suspended 9 Completed with suspended 10 Running with faults and suspended 11 Completed with faults and suspended 12 Running with recovery required and suspended 13 Completed with recovery required and suspended 14 Running with faults, recovery required, and suspended 15 Completed with faults, recovery required, and suspended 16 Running with terminated 17 Completed with terminated 18 Running with faults and terminated 19 Completed with faults and terminated 20 Running with recovery required and terminated 21 Completed with recovery required and terminated 22 Running with faults, recovery required, and terminated 23 Completed with faults, recovery required, and terminated 24 Running with suspended and terminated 25 Completed with suspended and terminated 26 Running with faulted, suspended, and terminated 27 Completed with faulted, suspended, and terminated 28 Running with recovery required, suspended, and terminated 29 Completed with recovery required, suspended, and terminated 30 Running with faulted, recovery required, suspended, and terminated 31 Completed with faulted, recovery required, suspended, and terminated 32 Unknown 64 - Normal 0 false false false EN-CA X-NONE X-NONE MicrosoftInternetExplorer4 /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin:0in; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;} Any value in the range of 32 to 63 indicates that the composite instance state has not been enabled, but the instance state is updated for faults, aborts, etc. CUBE_INSTANCE States State Description 0 STATE_INITIATED 1 STATE_OPEN_RUNNING 2 STATE_OPEN_SUSPENDED 3 STATE_OPEN_FAULTED 4 STATE_CLOSED_PENDING_CANCEL 5 STATE_CLOSED_COMPLETED 6 STATE_CLOSED_FAULTED 7 STATE_CLOSED_CANCELLED 8 STATE_CLOSED_ABORTED 9 STATE_CLOSED_STALE 10 STATE_CLOSED_ROLLED_BACK DLV_MESSAGE States State Description 0 STATE_UNRESOLVED 1 STATE_RESOLVED 2 STATE_HANDLED 3 STATE_CANCELLED 4 STATE_MAX_RECOVERED Since now in 11g the Invoke_Messages table is not there so to distinguish between a new message (Invoke) and callback (DLV) and there is DLV_TYPE column that defines the type of message: DLV_TYPE States State Description 1 Invoke Message 2 DLV Message MEDIATOR_INSTANCE STATE Description  0  No faults but there still might be running instances  1  At least one case is aborted by user  2  At least one case is faulted (non-recoverable)  3  At least one case is faulted and one case is aborted  4  At least one case is in recovery required state  5 At least one case is in recovery required state and at least one is aborted  6 At least one case is in recovery required state and at least one is faulted  7 At least one case is in recovery required state, one faulted and one aborted  >=8 and < 16  Running >= 16   Stale In my next blog posting I will walk through the lifecycle of a BPEL process using the above states for the following use cases: - New BPEL process - initial Receive activity - Callback BPEL process - mid-level Receive activity As always comments and questions welcome! Deepak

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  • SQL SERVER – How to Compare the Schema of Two Databases with Schema Compare

    - by Pinal Dave
    Earlier I wrote about An Efficiency Tool to Compare and Synchronize SQL Server Databases and it was very much well received. Since the blog post I have received quite a many question that just like data how we can also compare schema and synchronize it. If you think about comparing the schema manually, it is almost impossible to do so. Table Schema has been just one of the concept but if you really want the all the schema of the database (triggers, views, stored procedure and everything else) it is just impossible task. If you are developer or database administrator who works in the production environment than you know that there are so many different occasions when we have to compare schema of the database. Before deploying any changes to the production server, I personally like to make note of the every single schema change and document it so in case of any issue , I can always go back and refer my documentation. As discussed earlier it is absolutely impossible to do this task without the help of third party tools. I personally use Devart Schema Compare for this task. This is an extremely easy tool. Let us see how it works. First I have two different databases – a) AdventureWorks2012 and b) AdventureWorks2012-V1. There are total three changes between these databases. Here is the list of the same. One of the table has additional column One of the table have new index One of the stored procedure is changed Now let see how dbForge Schema Compare works in this scenario. First open dbForge Schema Compare studio. Click on New Schema Comparison. It will bring you to following screen where we have to configure the database needed to configure. I have selected AdventureWorks2012 and AdventureWorks-V1 databases. In the next screen we can verify various options but for this demonstration we will keep it as it is. We will not change anything in schema mapping screen as in our case it is not required but generically if you are comparing across schema you may need this. This is the most important screen as on this screen we select which kind of object we want to compare. You can see the options which are available to select. The screen lets you select the objects from SQL Server 2000 to SQL Server 2012. Once you click on compare in previous screen it will bring you to this screen, which will essentially display the comparative difference between two of the databases which we had selected in earlier screen. As mentioned above there are three different changes in the database and the same has been listed over here. Two of the changes belongs to the tables and one changes belong to the procedure. Let us click each of them one by one to see what is the difference between them. In very first option we can see that there is an additional column in another database which did not exist earlier. In this example we can see that AdventureWorks2012 database have an additional index. Following example is very interesting as in this case, we have changed the definition of the stored procedure and the result pan contains the same. dbForget Schema Compare very effectively identify the changes in schema and lists them neatly to developers. Here is one more screen. This software not only compares the schema but also provides the options to update or drop them as per the choice. I think this is brilliant option. Well, I have been using schema compare for quite a while and have found it very useful. Here are few of the things which dbForge Schema Compare can do for developers and DBAs. Compare and synchronize SQL Server database schemas Compare schemas of live database and SQL Server backup Generate comparison reports in Excel and HTML formats Eliminate mistakes in schema changes propagation across environments Track production database changes and customizations Automate migration of schema changes using command line interface I suggest that you try out dbForge Schema Compare and let me know what you think of this product. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, SQL Utility, T SQL

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  • Steps for MySQL DB Replication

    - by Manish Agrawal
    Following are the steps for MySQL Replication implementation on Linux machine: Pre-implementation steps for DB Replication:   1.    Identify the databases to be replicated 2.    Identify the tables to be ignored during replication per database for example log tables 3.  Carefully identify and replace the variables and paths(locations) mentioned (in bold) in the commands given below with appropriate values 4.  Schedule the maintenance activity in odd hours as these activities will affect all the databases on Master database server       Implementation steps for DB Replication:     1.    Configure the /etc/my.cnf file on Master database server to enable Binary logging, setting of server id and configuring of dbnames for which logging should be done. [mysqld] log-bin=mysql-bin server-id=1 binlog-do-db = dbname   Note: You can specify multiple DB in binlog-do-db by using comma separated dbname values like: dbname1, dbname2, …, dbnameN   2.    On Master database, Grant Replication Slave Privileges, by executing following command on mysql prompt mysql> GRANT REPLICATION SLAVE ON *.* TO slaveuser@<hostname> identified by ‘slavepassword’;   3.    Stop the Master & Slave database by giving the command      mysqladmin shutdown   4.    Start the Master database by giving the command      /usr/local/mysql-5.0.22/bin/mysqld_safe --user=user&     5.    mysql> FLUSH TABLES WITH READ LOCK; Note: Leave the client (putty session) from which you issued the FLUSH TABLES statement running, so that the read lock remains in effect. If you exit the client, the lock is released. 6.    mysql > SHOW MASTER STATUS;          +---------------+----------+--------------+------------------+          | File          | Position | Binlog_Do_DB | Binlog_Ignore_DB |          +---------------+----------+--------------+------------------+          | mysql-bin.003 | 117       | dbname       |                  |          +---------------+----------+--------------+------------------+ Note: Note this information as this will be required while starting of Slave and replication in later steps   7.    Take MySQL dump by giving the following command, In another session window (putty window) run the following command: mysqldump –u user --ignore-table=dbname.tbl_name -–ignore-table=dbname.tbl_name2 --master-data dbname > dbname_dump.db Note: When choosing databases to include in the dump, remember that you will need to filter out databases on each slave that you do not want to include in the replication process.     8.    Unlock the tables on Master by giving following command: mysql> UNLOCK TABLES;   9.    Copy the dump file to Slave DB server   10.  Startup the Slave by using option --skip-slave      /usr/local/mysql-5.0.22/bin/mysqld_safe --user=user --skip-slave&   11.  Restore the dump file on Slave DB server      mysql –u user dbname < dbname_dump.db   12.  Stop the Slave database by giving the command      mysqladmin shutdown   13.  Configure the /etc/my.cnf file on the Slave database server [mysqld] server-id=2 replicate-ignore-table = dbname.tablename   14.  Start the Slave Mysql Server with 'replicate-do-db=DB name' option.      /usr/local/mysql-5.0.22/bin/mysqld_safe --user=user --replicate-do-db=dbname --skip-slave   15.  Configure the settings at Slave server for Master host name, log filename and position within the log file as shown in Step 6 above Use Change Master statement in the MySQL session mysql> CHANGE MASTER TO MASTER_HOST='<master_host_name>', MASTER_USER='<replication_user_name>', MASTER_PASSWORD='<replication_password>', MASTER_LOG_FILE='<recorded_log_file_name>', MASTER_LOG_POS=<recorded_log_position>;   16.  On Slave Servers mysql prompt give the following command: a.     mysql > START SLAVE; b.    mysql > SHOW SLAVE STATUS;         Note: To stop slave for backup or any other activity you can use the following command on the Slave Servers mysql prompt: mysql> STOP SLAVE     Refer following links for more information on MySQL DB Replication: http://dev.mysql.com/doc/refman/5.0/en/replication-options.html http://crazytoon.com/2008/04/21/mysql-replication-replicate-by-choice/ http://dev.mysql.com/doc/refman/5.0/en/mysqldump.html

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  • Few events I&rsquo;m speaking at in early 2013

    - by Mladen Prajdic
    2013 has started great and the SQL community is already brimming with events. At some of these events you can come say hi. I’ll be glad you do! These are the events with dates and locations that I know I’ll be speaking at so far.   February 16th: SQL Saturday #198 - Vancouver, Canada The session I’ll present in Vancouver is SQL Impossible: Restoring/Undeleting a table Yes, you read the title right. No, it's not about the usual "one table per partition" and "restore full backup then copy the data over" methods. No, there are no 3rd party tools involved. Just you and your SQL Server. Yes, it's crazy. No, it's not for production purposes. And yes, that's why it's so much fun. Prepare to dive into the world of data pages, log records, deletes, truncates and backups and how it all works together to get your table back from the endless void. Want to know more? Come and see! This is an advanced level session where we’ll dive into the internals of data pages, transaction log records and page restores.   March 8th-9th: SQL Saturday #194 - Exeter, UK In Exeter I’ll be presenting twice. On the first day I’ll have a full day precon titled: From SQL Traces to Extended Events - The next big switch This pre-con will give you insight into both of the current tracing technologies in SQL Server. The old SQL Trace which has served us well over the past 10 or so years is on its way out because the overhead and details it produces are no longer enough to deal with today's loads. The new Extended Events are a new lightweight tracing mechanism built directly into the SQLOS thus giving us information SQL Trace just couldn't. They were designed and built with performance in mind and it shows. The new Extended Events are a new lightweight tracing mechanism built directly into the SQLOS thus giving us information SQL Trace just couldn't. They were designed and built with performance in mind and it shows. Mastering Extended Events requires learning at least one new skill: XML querying. The second session I’ll have on Saturday titled: SQL Injection from website to SQL Server SQL Injection is still one of the biggest reasons various websites and applications get hacked. The solution as everyone tells us is simple. Use SQL parameters. But is that enough? In this session we'll look at how would an attacker go about using SQL Injection to gain access to your database, see its schema and data, take over the server, upload files and do various other mischief on your domain. This is a fun session that always brings out a few laughs in the audience because they didn’t realize what can be done.   April 23rd-25th: NTK conference - Bled, Slovenia (Slovenian website only) This is a conference with history. This year marks its 18th year running. It’s a relatively large IT conference that focuses on various Microsoft technologies like .Net, Azure, SQL Server, Exchange, Security, etc… The main session’s language is Slovenian but this is slowly changing so it’s becoming more interesting for foreign attendees. This year it’s happening in the beautiful town of Bled in the Alps. The scenery alone is worth the visit, wouldn’t you agree? And this year there are quite a few well known speakers present! Session title isn’t known yet.       May 2nd-4th: SQL Bits XI – Nottingham, UK SQL Bits is the largest SQL Server conference in Europe. It’s a 3 day conference with top speakers and content all dedicated to SQL Server. The session I’ll present here is an hour long version of the precon I’ll give in Exeter. From SQL Traces to Extended Events - The next big switch The session description is the same as for the Exeter precon but we'll focus more on how the Extended Events work with only a brief overview of old SQL Trace architecture.

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  • SQL SERVER – Solution of Puzzle – Swap Value of Column Without Case Statement

    - by pinaldave
    Earlier this week I asked a question where I asked how to Swap Values of the column without using CASE Statement. Read here: SQL SERVER – A Puzzle – Swap Value of Column Without Case Statement. I have proposed 3 different solutions in the blog posts itself. I had requested the help of the community to come up with alternate solutions and honestly I am stunned and amazed by the qualified entries. I will be not able to cover every single solution which is posted as a comment, however, I would like to for sure cover few interesting entries. However, I am selecting 5 solutions which are different (not necessary they are most optimal or best – just different and interesting). Just for clarity I am involving the original problem statement here. USE tempdb GO CREATE TABLE SimpleTable (ID INT, Gender VARCHAR(10)) GO INSERT INTO SimpleTable (ID, Gender) SELECT 1, 'female' UNION ALL SELECT 2, 'male' UNION ALL SELECT 3, 'male' GO SELECT * FROM SimpleTable GO -- Insert Your Solutions here -- Swap value of Column Gender SELECT * FROM SimpleTable GO DROP TABLE SimpleTable GO Here are the five most interesting and different solutions I have received. Solution by Roji P Thomas UPDATE S SET S.Gender = D.Gender FROM SimpleTable S INNER JOIN SimpleTable D ON S.Gender != D.Gender I really loved the solutions as it is very simple and drives the point home – elegant and will work pretty much for any values (not necessarily restricted by the option in original question ‘male’ or ‘female’). Solution by Aneel CREATE TABLE #temp(id INT, datacolumn CHAR(4)) INSERT INTO #temp VALUES(1,'gent'),(2,'lady'),(3,'lady') DECLARE @value1 CHAR(4), @value2 CHAR(4) SET @value1 = 'lady' SET @value2 = 'gent' UPDATE #temp SET datacolumn = REPLACE(@value1 + @value2,datacolumn,'') Aneel has very interesting solution where he combined both the values and replace the original value. I personally liked this creativity of the solution. Solution by SIJIN KUMAR V P UPDATE SimpleTable SET Gender = RIGHT(('fe'+Gender), DIFFERENCE((Gender),SOUNDEX(Gender))*2) Sijin has amazed me with Difference and Soundex function. I have never visualized that above two functions can resolve the problem. Hats off to you Sijin. Solution by Nikhildas UPDATE St SET St.Gender = t.Gender FROM SimpleTable St CROSS Apply (SELECT DISTINCT gender FROM SimpleTable WHERE St.Gender != Gender) t I was expecting that someone will come up with this solution where they use CROSS APPLY. This is indeed very neat and for sure interesting exercise. If you do not know how CROSS APPLY works this is the time to learn. Solution by mistermagooo UPDATE SimpleTable SET Gender=X.NewGender FROM (VALUES('male','female'),('female','male')) AS X(OldGender,NewGender) WHERE SimpleTable.Gender=X.OldGender As per author this is a slow solution but I love how syntaxes are placed and used here. I love how he used syntax here. I will say this is the most beautifully written solution (not necessarily it is best). Bonus: Solution by Madhivanan Somehow I was confident Madhi – SQL Server MVP will come up with something which I will be compelled to read. He has written a complete blog post on this subject and I encourage all of you to go ahead and read it. Now personally I wanted to list every single comment here. There are some so good that I am just amazed with the creativity. I will write a part of this blog post in future. However, here is the challenge for you. Challenge: Go over 50+ various solutions listed to the simple problem here. Here are my two asks for you. 1) Pick your best solution and list here in the comment. This exercise will for sure teach us one or two things. 2) Write your own solution which is yet not covered already listed 50 solutions. I am confident that there is no end to creativity. Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: PostADay, SQL, SQL Authority, SQL Function, SQL Puzzle, SQL Query, SQL Server, SQL Tips and Tricks, T SQL, Technology

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  • SQLAuthority News – Follow up on – Replace a Column Name in Multiple Stored Procedure all together

    - by pinaldave
    Last month I had a fantastic time with lots of puzzles and brain teasers, the amount of participation which I have received on the blog is indeed inspiring to write more. One of the blog post was about how to replace a column name in all the stored procedures. The article had very interesting conversation as a follow up. Please read the original article Replace a Column Name in Multiple Stored Procedure all together before reading this blog further as they are connected. Let us start few of the interesting comments. SQL Server Expert Imran Mohammed had a wonderful first and excellent note. I suggest all of you to read it. Imran stresses on the Data Modelling and Logical as well as Physical Design. Developers must create a logical design and get approval on naming convention, data types, references, constraints, indexes etc. He further suggested that one should not cut steps but must follow all the industry standards and guidelines. Here extended my blog post with following note – “Extending Pinal’s answer, what you can do is go to database properties, all tasks, scripts objects, in scripting wizard select all the stored procedure for which you want to change column name, export the query to a new window and then do find and replace, all in once window and execute the script. But make sure you check what you are replacing, sometimes column names are also used in table names, for ex:Table Name: Product and Column Name: ProductId, ProductName”. Thanks Imran Great Points!  Gatej Alexandru suggested that it is not good idea to DROP or CREATE but rather use ALTER as quite possible there may be permissions issue as well. Very good point let me see if I can write blog post over it. Vinay Kumar and SQLStudent144 have proposed another method to achieve the same. I am combining their solution and writing them here. Step 1. Press Ctrl+T or change “Result to Text” mode. Step 2. Execute below commands.SELECT 'EXEC sp_helptext [' + referencing_schema_name + '.' + referencing_entity_name + ']' FROM sys.dm_sql_referencing_entities('schema.objectname','OBJECT') Where schema.objectname is the object or table you are searching for. Step 3. Now copy the result and paste in new window. Again Press Ctrl+T or change “Result to Text” mode. Step 4. Copy the result and paste in new window. Execute the query. Step 5. Copy the result and paste in new window. Step 6. Now find your searching text in the script, make necessary changes and execute this script. Do not forget to remove the code which is generated in resultset which are not relevant to the T-SQL Script. Digitqr suggest we can do this for other objects besides Stored Procedure as well. Iosif suggests to use tool SQL Search from RedGate. I guess this sums it well. We have an alternative perspective to our original issue of replacing the column name in multiple stored procedure. 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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  • SQL SERVER – master Database Log File Grew Too Big

    - by pinaldave
    Couple of the days ago, I received following email and I find this email very interesting and I feel like sharing with all of you. Note: Please read the whole email before providing your suggestions. “Hi Pinal, If you can share these details on your blog, it will help many. We understand the value of the master database and we take its regular back up (everyday midnight). Yesterday we noticed that our master database log file has grown very large. This is very first time that we have encountered such an issue. The master database is in simple recovery mode; so we assumed that it will never grow big; however, we now have a big log file. We ran the following command USE [master] GO DBCC SHRINKFILE (N'mastlog' , 0, TRUNCATEONLY) GO We know this command will break the chains of LSN but as per our understanding; it should not matter as we are in simple recovery model.     After running this, the log file becomes very small. Just to be cautious, we took full backup of the master database right away. We totally understand that this is not the normal practice; so if you are going to tell us the same, we are aware of it. However, here is the question for you? What operation in master database would have caused our log file to grow too large? Thanks, [name and company name removed as per request]“ Here was my response to them: “Hi [name removed], It is great that you are aware of all the right steps and method. Taking full backup when you are not sure is always a good practice. Regarding your question what could have caused your master database log to grow larger, let me try to guess what could have happened. Do you have any user table in the master database? If yes, this is not recommended and also NOT a good practice. If have user tables in master database and you are doing any long operation (may be lots of insert, update, delete or rebuilding them), then it can cause this situation. You have made me curious about your scenario; do revert back. Kind Regards, Pinal” Within few minutes I received reply: “That was it Pinal. We had one of the maintenance task log tables created in the master table, which had many long transactions during the night. We moved it to newly created database named ‘maintenance’, and we will keep you updated.” I was very glad to receive the email. I do not suggest that any user table should be created in the master database. It should be left alone from user objects. Now here is the question for you – can you think of any other reason for master log file growth? Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: Pinal Dave, PostADay, SQL, SQL Authority, SQL Backup and Restore, SQL Query, SQL Scripts, SQL Server, SQL Tips and Tricks, T SQL, Technology

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  • SQL SERVER – A Puzzle – Swap Value of Column Without Case Statement

    - by pinaldave
    For the last few weeks, I have been doing Friday Puzzles and I am really loving it. Yesterday I received a very interesting question by Navneet Chaurasia on Facebook Page. He was asked this question in one of the interview questions for job. Please read the original thread for a complete idea of the conversation. I am presenting the same question here. Puzzle Let us assume there is a single column in the table called Gender. The challenge is to write a single update statement which will flip or swap the value in the column. For example if the value in the gender column is ‘male’ swap it with ‘female’ and if the value is ‘female’ swap it with ‘male’. Here is the quick setup script for the puzzle. USE tempdb GO CREATE TABLE SimpleTable (ID INT, Gender VARCHAR(10)) GO INSERT INTO SimpleTable (ID, Gender) SELECT 1, 'female' UNION ALL SELECT 2, 'male' UNION ALL SELECT 3, 'male' GO SELECT * FROM SimpleTable GO The above query will return following result set. The puzzle was to write a single update column which will generate following result set. There are multiple answers to this simple puzzle. Let me show you three different ways. I am assuming that the column will have either value ‘male’ or ‘female’ only. Method 1: Using CASE Statement I believe this is going to be the most popular solution as we are all familiar with CASE Statement. UPDATE SimpleTable SET Gender = CASE Gender WHEN 'male' THEN 'female' ELSE 'male' END GO SELECT * FROM SimpleTable GO Method 2: Using REPLACE  Function I totally understand it is the not cleanest solution but it will for sure work in giving situation. UPDATE SimpleTable SET Gender = REPLACE(('fe'+Gender),'fefe','') GO SELECT * FROM SimpleTable GO Method 3: Using IIF in SQL Server 2012 If you are using SQL Server 2012 you can use IIF and get the same effect as CASE statement. UPDATE SimpleTable SET Gender = IIF(Gender = 'male', 'female', 'male') GO SELECT * FROM SimpleTable GO You can read my article series on SQL Server 2012 various functions over here. SQL SERVER – Denali – Logical Function – IIF() – A Quick Introduction SQL SERVER – Detecting Leap Year in T-SQL using SQL Server 2012 – IIF, EOMONTH and CONCAT Function Let us clean up. DROP TABLE SimpleTable GO Question to you: I came up with three simple tricks where there is a single UPDATE statement which swaps the values in the column. Do you know any other simple trick? If yes, please post here in the comments. I will pick two random winners from all the valid answers. Winners will get 1) Print Copy of SQL Server Interview Questions and Answers 2) Free Learning Code for Online Video Courses I will announce the winners on coming Monday. Reference:  Pinal Dave (http://blog.SQLAuthority.com) Filed under: CodeProject, PostADay, SQL, SQL Authority, SQL Interview Questions and Answers, SQL Puzzle, SQL Query, SQL Server, SQL Tips and Tricks, SQLServer, T SQL, Technology

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  • MySQL for Excel 1.3.0 Beta has been released

    - by Javier Treviño
    The MySQL Windows Experience Team is proud to announce the release of MySQL for Excel version 1.3.0.  This is a beta release for 1.3.x. MySQL for Excel is an application plug-in enabling data analysts to very easily access and manipulate MySQL data within Microsoft Excel. It enables you to directly work with a MySQL database from within Microsoft Excel so you can easily do tasks such as: Importing MySQL data into Excel Exporting Excel data directly into MySQL to a new or existing table Editing MySQL data directly within Excel As this is a beta version the MySQL for Excel product can be downloaded only by using the product standalone installer at this link http://dev.mysql.com/downloads/windows/excel/ Your feedback on this beta version is very well appreciated, you can raise bugs on the MySQL bugs page or give us your comments on the MySQL for Excel forum. Changes in MySQL for Excel 1.3.0 (2014-06-06, Beta) This section documents all changes and bug fixes applied to MySQL for Excel since the release of 1.2.1. Several new features were added, for more information see What Is New In MySQL for Excel (http://dev.mysql.com/doc/refman/5.6/en/mysql-for-excel-what-is-new.html). Known limitations: Upgrading from versions MySQL for Excel 1.2.0 and lower is not possible due to a bug fixed in MySQL for Excel 1.2.1. In that scenario, the old version (MySQL for Excel 1.2.0 or lower) must be uninstalled first. Upgrading from version 1.2.1 works correctly. <CTRL> + <A> cannot be used to select all database objects. Either <SHIFT> + <Arrow Key> or <CTRL> + click must be used instead. PivotTables are normally placed to the right (skipping one column) of the imported data, they will not be created if there is another existing Excel object at that position. Functionality Added or Changed Imported data can now be refreshed by using the native Refresh feature. Fields in the imported data sheet are then updated against the live MySQL database using the saved connection ID. Functionality was added to import data directly into PivotTables, which can be created from any Import operation. Multiple objects (tables and views) can now be imported into Excel, when before only one object could be selected. Relational information is also utilized when importing multiple objects. All options now have descriptive tooltips. Hovering over an option/preference displays helpful information about its use. A new Export Data, Advanced Options option was added that shows all available data types in the Data Type combo box, instead of only showing a subset of the most popular data types. The option dialogs now include a Refresh to Defaults button that resets the dialog's options to their defaults values. Each option dialog is set individually. A new Add Summary Fields for Numeric Columns option was added to the Import Data dialog that automatically adds summary fields for numeric data after the last row of the imported data. The specific summary function is selectable from many options, such as "Total" and "Average." A new collation option was added for the schema and table creation wizards. The default schema collation is "Server Default", and the default table collation is "Schema Default". Collation options may be selected from a drop-down list of all available collations. Quick links: MySQL for Excel documentation: http://dev.mysql.com/doc/en/mysql-for-excel.html. MySQL on Windows blog: http://blogs.oracle.com/MySQLOnWindows. MySQL for Excel forum: http://forums.mysql.com/list.php?172. MySQL YouTube channel: http://www.youtube.com/user/MySQLChannel. Enjoy and thanks for the support! 

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  • Floating Panels and Describe Windows in Oracle SQL Developer

    - by thatjeffsmith
    One of the challenges I face as I try to share tips about our software is that I tend to assume there are features that you just ‘know about.’ Either they’re so intuitive that you MUST know about them, or it’s a feature that I’ve been using for so long I forget that others may have never even seen it before. I want to cover two of those today - Describe (DESC) – SHIFT+F4 Floating Panels My super-exciting desktop SQL Developer and Describe DESC or Describe is an Oracle SQL*Plus command. It shows what a table or view is composed of in terms of it’s column definition. Here’s an example: SQL*Plus: Release 11.2.0.3.0 Production on Fri Sep 21 14:25:37 2012 Copyright (c) 1982, 2011, Oracle. All rights reserved. Connected to: Oracle Database 11g Enterprise Edition Release 11.2.0.3.0 - Production With the Partitioning, OLAP, Data Mining and Real Application Testing options SQL> desc beer; Name Null? Type ----------------------------------------- -------- ---------------------------- BREWERY NOT NULL VARCHAR2(100) CITY VARCHAR2(100) STATE VARCHAR2(100) COUNTRY VARCHAR2(100) ID NUMBER SQL> You can get the same information – and a good bit more – in SQL Developer using the SQL Developer DESC command. You invoke it with SHIFT+F4. It will open a floating (non-modal!) window with the information you want. Here’s an example: I can see my column definitions, constratins, stats, privs, etc A few ‘cool’ things you should be aware of: I can open as many as I want, and still work in my worksheet, browser, etc. I can also DESC an index, user, or most any other database object I can of course move them off my primary desktop display The DESC panel’s are read-only. I can’t drop a constraint from within the DESC window of a given table. But for dragging columns into my worksheet, and checking out the stats for my objects as I query them – it’s very, very handy. Try This Right Now Type ‘scott.emp’ (or some other table you have), place your cursor on the text, and hit SHIFT+F4. You’ll see the EMP object open. Now click into a column name in the columns page. Drag it into your worksheet. It will paste that column name into your query. This is an alternative for those that don’t like our code insight feature or dragging columns off the connection tree (new for v3.2!) Got it? SQL Developer’s Floating Panels Ok, let’s talk about a similar feature. Did you know that any dockable panel from the View menu can also be ‘floated?’ One of my favorite features is the SQL History. Every query I run is recorded, and I can recall them later without having to remember what I ran and when. And I USUALLY use the keyboard shortcuts for this. Let your trouble float away…if only it were so easy as a right-click in the real world. But sometimes I still want to see my recall list without having to give up my screen real estate. So I just mouse-right click on the panel tab and select ‘Float.’ Then I move it over to my secondary display – see the poorly lit picture in the beginning of this post. And that’s it. Simple, I know. But I thought you should know about these two things!

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  • Bind a Wijmo Grid to Salesforce.com Through the Salesforce OData Connector

    - by dataintegration
    This article will explain how to connect to any RSSBus OData Connector with Wijmo's data grid using JSONP. While the example will use the Salesforce Connector, the same process can be followed for any of the RSSBus OData Connectors. Step 1: Download and install both the Salesforce Connector from RSSBus and the Wijmo javascript library. Step 2: Next you will want to configure the Salesforce Connector to connect with your Salesforce account. If you browse to the Help tab in the Salesforce Connector application, there is a link to the Getting Started Guide which will walk you through setting up the Salesforce Connector. Step 3: Once you have successfully configured the Salesforce Connector application, you will want to open a Wijmo sample grid file to edit. This example will use the overview.html grid found in the Samples folder. Step 4: First, we will wrap the jQuery document ready function in a callback function for the JSONP service. In this example, we will wrap this in function called fnCallback which will take a single object args. <script id="scriptInit" type="text/javascript"> function fnCallback(args) { $(document).ready(function () { $("#demo").wijgrid({ ... }); }); }; </script> Step 5: Next, we need to format the columns object in a format that Wijmo's data grid expects. This is done by adding the headerText: element for each column. <script id="scriptInit" type="text/javascript"> function fnCallback(args) { var columns = []; for (var i = 0; i < args.columnnames.length; i++){ var col = { headerText: args.columnnames[i]}; columns.push(col); } $(document).ready(function () { $("#demo").wijgrid({ ... }); }); }; </script> Step 6: Now the wijgrid parameters are ready to be set. In this example, we will set the data input parameter to the args.data object and the columns input parameter to our newly created columns object. The resulting javascript function should look like this: <script id="scriptInit" type="text/javascript"> function fnCallback(args) { var columns = []; for (var i = 0; i < args.columnnames.length; i++){ var col = { headerText: args.columnnames[i]}; columns.push(col); } $(document).ready(function () { $("#demo").wijgrid({ allowSorting: true, allowPaging: true, pageSize: 10, data: args.data, columns: columns }); }); }; </script> Step 7: Finally, we need to add the JSONP reference to our Salesforce Connector's data table. You can find this by clicking on the Settings tab of the Salesforce Connector. Once you have found the JSONP URL, you will need to supply a valid table name that you want to connect with Wijmo. In this example, we will connect to the Lead table. You will also need to add authentication options in this step. In the example we will append the authtoken of the user who has access to the Salesforce Connector using the @authtoken query string parameter. IMPORTANT: This is not secure and will expose the authtoken of the user whose authtoken you supply in this step. There are other ways to secure the user's authtoken, but this example uses a query string parameter for simplicity. <script src="http://localhost:8181/sfconnector/data/conn/Lead.rsd?@jsonp=fnCallback&sql:query=SELECT%20*%20FROM%20Lead&@authtoken=<myAuthToken>" type="text/javascript"></script> Step 8: Now, we are done. If you point your browser to the URL of the sample, you should see your Salesforce.com leads in a Wijmo data grid.

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  • Windows Azure Mobile Services Updates Keep Coming

    - by Clint Edmonson
    Some exciting new Windows Azure Mobile Services features were delivered to production this week. The highlights include: iPhone and iPad connectivity support via a new iOS SDK Integrated Authentication so developers can configure user authentication via Microsoft Account, Facebook, Twitter, and Google. New server-side Mobile Service script modules Access to Structured Storage, Windows Azure Blob, Table, Queues, and ServiceBus Email services through partnership with SendGrid SMS & voice services through partnership with Twilio Mobile Services hosting expanded to west coast US The iOS SDK I’m excited to share that we've announced the release of an under-development iOS client SDK for Windows Azure Mobile Services. The iOS SDK joins the Windows 8 SDK launched with Windows Azure Mobile Services as well as client SDKs released by Xamarin for MonoTouch and MonoDroid.  The native iOS SDK is for developers programming in Objective-C on the iPhone and iPad platforms. The SDK gives developers the same level of access to data storage using dynamic schematization that is available for Windows 8. Also, iOS applications can use the same authentication options available in Mobile Services. While full iOS support is still in development, the libraries are currently available on GitHub. There’s a great getting started tutorial to walk you through building a simple iOS “Todo List” app that stores data in Windows Azure.  These additional tutorials explore how to use the iOS client libraries to store data and authenticate users: Get Started with data in Mobile Services for iOS Get Started with authentication in Mobile Services for iOS What’s New in Authentication Available to both iOS and Windows 8 developers, Mobile Services has expanded its authentication options.  Developers can now use Microsoft, Facebook, Twitter, and Google authentication. Similar to using Microsoft accounts for authentication, developers must sign up and through Facebook, Twitter, or Google's developer portal in order to authenticate through them.  These tutorials walk through how to register your Mobile Service with an identity provider: How to register your app with Microsoft Account How to register your app with Facebook How to register your app with Twitter How to register your app with Google And these tutorials walk through authenticating against Mobile Services: Get started with authentication in Mobile Services for Windows Store (C#) Get started with authentication in Mobile Services for Windows Store (JavaScript) Get started with authentication in Mobile Services for iOS What’s New in Mobile Service Scripts Some great new functionality is now available in the Mobile Service script layer.  These server side scripts are triggered off of any CRUD operation on a Mobile Service's table and can already handle doing data and query validation, filtering, web requests and more.  Today, the Azure SDK module is now available to these scripts giving them access to blob storage, service bus, table storage.  Check out the new tutorials on the Windows Azure Node.js developer center to learn more about working with Blob, Tables, Queues and Service Bus using the azure module. In addition, SendGrid and Twilio are now available via modules that can be called from the scripts as well.  This gives developers the ability to send emails (SendGrid) or SMS text messages (Twilio) whenever a script is fired.  Windows Azure customers receive a special offer of 25,000 free emails per month from SendGrid and 1000 free text messages from Twilio. Expanded Data Center Availability In addition to Mobile Services being available in our US East data center, they can now be spun up in US West. The above features are all now live in production and are available to use immediately.  If you don’t already have a Windows Azure account, you can sign-up for a free trial and start using Mobile Services today. The Windows Azure Mobile Developer Center has been updated with new tutorials that cover these new features in detail. And don’t forget - Windows Azure Mobile Services are still free for your first ten applications running on shared compute instances. Stay tuned to my twitter feed for Windows Azure announcements, updates, and links: @clinted

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  • How the "migrations" approach makes database continuous integration possible

    - by David Atkinson
    Testing a database upgrade script as part of a continuous integration process will only work if there is an easy way to automate the generation of the upgrade scripts. There are two common approaches to managing upgrade scripts. The first is to maintain a set of scripts as-you-go-along. Many SQL developers I've encountered will store these in a folder prefixed numerically to ensure they are ordered as they are intended to be run. Occasionally there is an accompanying document or a batch file that ensures that the scripts are run in the defined order. Writing these scripts during the course of development requires discipline. It's all too easy to load up the table designer and to make a change directly to the development database, rather than to save off the ALTER statement that is required when the same change is made to production. This discipline can add considerable overhead to the development process. However, come the end of the project, everything is ready for final testing and deployment. The second development paradigm is to not do the above. Changes are made to the development database without considering the incremental update scripts required to effect the changes. At the end of the project, the SQL developer or DBA, is tasked to work out what changes have been made, and to hand-craft the upgrade scripts retrospectively. The end of the project is the wrong time to be doing this, as the pressure is mounting to ship the product. And where data deployment is involved, it is prudent not to feel rushed. Schema comparison tools such as SQL Compare have made this latter technique more bearable. These tools work by analyzing the before and after states of a database schema, and calculating the SQL required to transition the database. Problem solved? Not entirely. Schema comparison tools are huge time savers, but they have their limitations. There are certain changes that can be made to a database that can't be determined purely from observing the static schema states. If a column is split, how do we determine the algorithm required to copy the data into the new columns? If a NOT NULL column is added without a default, how do we populate the new field for existing records in the target? If we rename a table, how do we know we've done a rename, as we could equally have dropped a table and created a new one? All the above are examples of situations where developer intent is required to supplement the script generation engine. SQL Source Control 3 and SQL Compare 10 introduced a new feature, migration scripts, allowing developers to add custom scripts to replace the default script generation behavior. These scripts are committed to source control alongside the schema changes, and are associated with one or more changesets. Before this capability was introduced, any schema change that required additional developer intent would break any attempt at auto-generation of the upgrade script, rendering deployment testing as part of continuous integration useless. SQL Compare will now generate upgrade scripts not only using its diffing engine, but also using the knowledge supplied by developers in the guise of migration scripts. In future posts I will describe the necessary command line syntax to leverage this feature as part of an automated build process such as continuous integration.

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  • Running Multiple WebLogic and OSB Domains

    - by jeff.x.davies
    I have any number of OSB domain created on my machine at any point in time. For example, I have different domains for different version of Oracle Service Bus and Oracle SOA Suite. I also have different domains for different purposes. I have a demo domain and another domain for the projects in my blog. Starting with OSB 11g and the Apache Derby server, there is a small "gotcha" if you want to create multiple domains on a devevelopment machine. When you create a new domain for OSB 11g it will use the same database info for all databases and this will cause an error when starting the admin server of the second domain (the first domain doesn't have to be running for this error to occur). Here is an example of the error message in the server console: ####<Mar 8, 2011 2:58:48 PM PST> <Critical> <JTA> <jeff-laptop> <AdminServer> <[ACTIVE] ExecuteThread: '0' for queue: 'weblogic.kernel.Default (self-tuning)'> <<WLS Kernel>> <> <> <1299625128464> <BEA-110482> <A logging last resource failed during initialization. The server cannot boot unless all configured logging last resources (LLRs) initialize. Failing reason: weblogic.transaction.loggingresource.LoggingResourceException: java.sql.SQLException: JDBC LLR, table verify failed for table 'WL_LLR_ADMINSERVER', row 'JDBC LLR Domain//Server' record had unexpected value 'osb11gR1PS3//AdminServer' expected 'OSBCIM//AdminServer'*** ONLY the original domain and server that creates an LLR table may access it *** The solution is to create a database instance for each of your domains and this is very simple to do. After you create a domain using the Configuration Wizard, locate the wlsbjmsrpDataSource-jdbc.xml file that is found under the DOMAIN_HOME/config/jdbc directory. Near the top of the file you will see the following entry: <url>jdbc:derby://localhost:1527/osbexamples;create=true;ServerName=localhost;databaseName=osbexamples</url> You need to modify this entry with a different and unique database name. The easiest way to do this is to substiture the name of your domain. For example: <url>jdbc:derby://localhost:1527/mydomain;create=true;ServerName=localhost;databaseName=mydomain</url> will create a database named mydomain . Now, when you restart the admin server for the domain, it will create the new database for you. Do this for each domain you create on your development machine and you'll have no troubles. The process is much simpler if you are creating a domain using the Configuration Wizard. Simply name the database when you get to the Configure JDBC Component Schema step of the Configuration Wizard, select the OSB JMS Reporting Provider and set the name in the DBMS/Service field to whatever name you like, as shown in Figure 1 below. Figure 1 – Configuring the JDBC Component Schema That is all there is to it. Now you can create as many domains on your leptop or development machine as you like and not have to worry about them conflicting with each other.

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  • Lies, damned lies, and statistics Part 2

    - by Maria Colgan
    There was huge interest in our OOW session last year on Managing Optimizer Statistics. It seems statistics and the maintenance of them continues to baffle people. In order to help dispel the mysteries surround statistics management we have created a two part white paper series on Optimizer statistics.  Part one of this series was released in November last years and describes in detail, with worked examples, the different concepts of Optimizer statistics. Today we have published part two of the series, which focuses on the best practices for gathering statistics, and examines specific use cases including, the fears that surround histograms and statistics management of volatile tables like Global Temporary Tables. Here is a quick look at the Introduction and the start of the paper. You can find the full paper here. Happy Reading! Normal 0 false false false EN-US X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin:0in; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:12.0pt; font-family:"Times New Roman","serif";} Introduction The Oracle Optimizer examines all of the possible plans for a SQL statement and picks the one with the lowest cost, where cost represents the estimated resource usage for a given plan. In order for the Optimizer to accurately determine the cost for an execution plan it must have information about all of the objects (table and indexes) accessed in the SQL statement as well as information about the system on which the SQL statement will be run. This necessary information is commonly referred to as Optimizer statistics. Understanding and managing Optimizer statistics is key to optimal SQL execution. Knowing when and how to gather statistics in a timely manner is critical to maintaining acceptable performance. This whitepaper is the second of a two part series on Optimizer statistics. The first part of this series, Understanding Optimizer Statistics, focuses on the concepts of statistics and will be referenced several times in this paper as a source of additional information. This paper will discuss in detail, when and how to gather statistics for the most common scenarios seen in an Oracle Database. The topics are · How to gather statistics · When to gather statistics · Improving the efficiency of gathering statistics · When not to gather statistics · Gathering other types of statistics How to gather statistics The preferred method for gathering statistics in Oracle is to use the supplied automatic statistics-gathering job. Automatic statistics gathering job The job collects statistics for all database objects, which are missing statistics or have stale statistics by running an Oracle AutoTask task during a predefined maintenance window. Oracle internally prioritizes the database objects that require statistics, so that those objects, which most need updated statistics, are processed first. The automatic statistics-gathering job uses the DBMS_STATS.GATHER_DATABASE_STATS_JOB_PROC procedure, which uses the same default parameter values as the other DBMS_STATS.GATHER_*_STATS procedures. The defaults are sufficient in most cases. However, it is occasionally necessary to change the default value of one of the statistics gathering parameters, which can be accomplished by using the DBMS_STATS.SET_*_PREF procedures. Parameter values should be changed at the smallest scope possible, ideally on a per-object bases. You can find the full paper here. Happy Reading! +Maria Colgan

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  • Finding the maximum value/date across columns

    - by AtulThakor
    While working on some code recently I discovered a neat little trick to find the maximum value across several columns….. So the starting point was finding the maximum date across several related tables and storing the maximum value against an aggregated record. Here's the sample setup code: USE TEMPDB IF OBJECT_ID('CUSTOMER') IS NOT NULL BEGIN DROP TABLE CUSTOMER END IF OBJECT_ID('ADDRESS') IS NOT NULL BEGIN DROP TABLE ADDRESS END IF OBJECT_ID('ORDERS') IS NOT NULL BEGIN DROP TABLE ORDERS END SELECT 1 AS CUSTOMERID, 'FREDDY KRUEGER' AS NAME, GETDATE() - 10 AS DATEUPDATED INTO CUSTOMER SELECT 100000 AS ADDRESSID, 1 AS CUSTOMERID, '1428 ELM STREET' AS ADDRESS, GETDATE() -5 AS DATEUPDATED INTO ADDRESS SELECT 123456 AS ORDERID, 1 AS CUSTOMERID, GETDATE() + 1 AS DATEUPDATED INTO ORDERS .csharpcode, .csharpcode pre { font-size: small; color: black; font-family: consolas, "Courier New", courier, monospace; background-color: #ffffff; /*white-space: pre;*/ } .csharpcode pre { margin: 0em; } .csharpcode .rem { color: #008000; } .csharpcode .kwrd { color: #0000ff; } .csharpcode .str { color: #006080; } .csharpcode .op { color: #0000c0; } .csharpcode .preproc { color: #cc6633; } .csharpcode .asp { background-color: #ffff00; } .csharpcode .html { color: #800000; } .csharpcode .attr { color: #ff0000; } .csharpcode .alt { background-color: #f4f4f4; width: 100%; margin: 0em; } .csharpcode .lnum { color: #606060; }   Now the code used a function to determine the maximum date, this performed poorly. After considering pivoting the data I opted for a case statement, this seemed reasonable until I discovered other areas which needed to determine the maximum date between 5 or more tables which didn't scale well. The final solution involved using the value clause within a sub query as followed. SELECT C.CUSTOMERID, A.ADDRESSID, (SELECT MAX(DT) FROM (Values(C.DATEUPDATED),(A.DATEUPDATED),(O.DATEUPDATED)) AS VALUE(DT)) FROM CUSTOMER C INNER JOIN ADDRESS A ON C.CUSTOMERID = A.CUSTOMERID INNER JOIN ORDERS O ON O.CUSTOMERID = C.CUSTOMERID .csharpcode, .csharpcode pre { font-size: small; color: black; font-family: consolas, "Courier New", courier, monospace; background-color: #ffffff; /*white-space: pre;*/ } .csharpcode pre { margin: 0em; } .csharpcode .rem { color: #008000; } .csharpcode .kwrd { color: #0000ff; } .csharpcode .str { color: #006080; } .csharpcode .op { color: #0000c0; } .csharpcode .preproc { color: #cc6633; } .csharpcode .asp { background-color: #ffff00; } .csharpcode .html { color: #800000; } .csharpcode .attr { color: #ff0000; } .csharpcode .alt { background-color: #f4f4f4; width: 100%; margin: 0em; } .csharpcode .lnum { color: #606060; } As you can see the solution scales well and can take advantage of many of the aggregate functions!

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  • How to use a list of values in Excel as filter in a query

    - by Luca Zavarella
    It often happens that a customer provides us with a list of items for which to extract certain information. Imagine, for example, that our clients wish to have the header information of the sales orders only for certain orders. Most likely he will give us a list of items in a column in Excel, or, less probably, a simple text file with the identification code:     As long as the given values ??are at best a dozen, it costs us nothing to copy and paste those values ??in our SSMS and place them in a WHERE clause, using the IN operator, making sure to include the quotes in the case of alphanumeric elements (the database sample is AdventureWorks2008R2): SELECT * FROM Sales.SalesOrderHeader AS SOH WHERE SOH.SalesOrderNumber IN ( 'SO43667' ,'SO43709' ,'SO43726' ,'SO43746' ,'SO43782' ,'SO43796') Clearly, the need to add commas and quotes becomes an hassle when dealing with hundreds of items (which of course has happened to us!). It’d be comfortable to do a simple copy and paste, leaving the items as they are pasted, and make sure the query works fine. We can have this commodity via a User Defined Function, that returns items in a table. Simply we’ll provide the function with an input string parameter containing the pasted items. I give you directly the T-SQL code, where comments are there to clarify what was written: CREATE FUNCTION [dbo].[SplitCRLFList] (@List VARCHAR(MAX)) RETURNS @ParsedList TABLE ( --< Set the item length as your needs Item VARCHAR(255) ) AS BEGIN DECLARE --< Set the item length as your needs @Item VARCHAR(255) ,@Pos BIGINT --< Trim TABs due to indentations SET @List = REPLACE(@List, CHAR(9), '') --< Trim leading and trailing spaces, then add a CR\LF at the end of the list SET @List = LTRIM(RTRIM(@List)) + CHAR(13) + CHAR(10) --< Set the position at the first CR/LF in the list SET @Pos = CHARINDEX(CHAR(13) + CHAR(10), @List, 1) --< If exist other chars other than CR/LFs in the list then... IF REPLACE(@List, CHAR(13) + CHAR(10), '') <> '' BEGIN --< Loop while CR/LFs are over (not found = CHARINDEX returns 0) WHILE @Pos > 0 BEGIN --< Get the heading list chars from the first char to the first CR/LF and trim spaces SET @Item = LTRIM(RTRIM(LEFT(@List, @Pos - 1))) --< If the so calulated item is not empty... IF @Item <> '' BEGIN --< ...insert it in the @ParsedList temporary table INSERT INTO @ParsedList (Item) VALUES (@Item) --(CAST(@Item AS int)) --< Use the appropriate conversion if needed END --< Remove the first item from the list... SET @List = RIGHT(@List, LEN(@List) - @Pos - 1) --< ...and set the position to the next CR/LF SET @Pos = CHARINDEX(CHAR(13) + CHAR(10), @List, 1) --< Repeat this block while the upon loop condition is verified END END RETURN END At this point, having created the UDF, our query is transformed trivially in: SELECT * FROM Sales.SalesOrderHeader AS SOH WHERE SOH.SalesOrderNumber IN ( SELECT Item FROM SplitCRLFList('SO43667 SO43709 SO43726 SO43746 SO43782 SO43796') AS SCL) Convenient, isn’t it? You can find the script DBA_SplitCRLFList.sql here. Bye!!

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  • [EF + Oracle] Entities

    - by JTorrecilla
    Prologue Following with the Serie I started yesterday about Entity Framework with Oracle, Today I am going to start talking about Entities. What is an Entity? A Entity is an object of the EF model corresponding to a record in a DB table. For example, let’s see, in Image 1 we can see one Entity from our model, and in the second one we can see the mapping done with the DB. (Image 1) (Image 2) More in depth a Entity is a Class inherited from the abstract class “EntityObject”, contained by the “System.Data.Objects.DataClasses” namespace. At the same time, this class inherits from the following Class and interfaces: StructuralObject: It is an Abstract class that inherits from INotifyPropertyChanging and INotifyPropertyChanged interfaces, and it exposes the events that manage the Changes of the class, and the functions related to check the data types of the Properties from our Entity.  IEntityWithKey: Interface which exposes the Key of the entity. IEntityWithChangeTracker: Interface which lets indicate the state of the entity (Detached, Modified, Added…) IEntityWithRelationships: Interface which indicates the relations about the entity. Which is the Content of a Entity? A Entity is composed by: Properties, Navigation Properties and Methods. What is a Property? A Entity Property is an object that represents a column from the mapped table from DB. It has a data type equivalent in .Net Framework to the DB Type. When we create the EF model, VS, internally, create the code for each Entity selected in the Tables step, such all methods that we will see in next steps. For each property, VS creates a structure similar to: · Private variable with the mapped Data type. · Function with a name like On{Property_Name}Changing({dataType} value): It manages the event which happens when we try to change the value. · Function with a name like On{Property_Name}Change: It manages the event raised when the property has changed successfully. · Property with Get and Set methods: The Set Method manages the private variable and do the following steps: Raise Changing event. Report the Entity is Changing. Set the prívate variable. For it, Use the SetValidValue function of the StructuralObject. There is a function for each datatype, and the functions takes 2 params: the value, and if the prop allow nulls. Invoke that the entity has been successfully changed. Invoke the Changed event of the Prop. ReportPropertyChanging and ReportPropertyChanged events, let, respectively, indicate that there is pending changes in the Entity, and the changes have success correctly. While the ReportPropertyChanged is raised, the Track State of the Entity will be changed. What is a Navigation Property? Navigation Properties are a kind of property of the type: EntityCollection<TEntity>, where TEntity is an Entity type from the model related with the current one, it is said, is a set of record from a related table in the DB. The EntityCollection class inherits from: · RelatedEnd: There is an abstract class that give the functions needed to obtein the related objects. · ICollection<TEntity> · IEnumerable<TEntity> · IEnumerable · IListSource For the previous interfaces, I wish recommend the following post from Jose Miguel Torres. Navigation properties allow us, to get and query easily objects related with the Entity. Methods? There is only one method in the Entity object. “Create{Entity}”, that allow us to create an object of the Entity by sending the parameters needed to create it. Finally After this chapter, we know what is an Entity, how is related to the DB and the relation to other Entities. In following chapters, we will se CRUD operations(Create, Read, Update, Delete).

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  • Some Original Expressions

    - by Phil Factor
    Guest Editorial for Simple-Talk newsletterIn a guest editorial for the Simple-Talk Newsletter, Phil Factor wonders if we are still likely to find some more novel and unexpected ways of using the newer features of Transact SQL: or maybe in some features that have always been there! There can be a great deal of fun to be had in trying out recent features of SQL Expressions to see if  they provide new functionality.  It is surprisingly rare to find things that couldn’t be done before, but in a different   and more cumbersome way; but it is great to experiment or to read of someone else making that discovery.  One such recent feature is the ‘table value constructor’, or ‘VALUES constructor’, that managed to get into SQL Server 2008 from Standard SQL.  This allows you to create derived tables of up to 1000 rows neatly within select statements that consist of  lists of row values.  E.g. SELECT Old_Welsh, number FROM (VALUES ('Un',1),('Dou',2),('Tri',3),('Petuar',4),('Pimp',5),('Chwech',6),('Seith',7),('Wyth',8),('Nau',9),('Dec',10)) AS WelshWordsToTen (Old_Welsh, number) These values can be expressions that return single values, including, surprisingly, subqueries. You can use this device to create views, or in the USING clause of a MERGE statement. Joe Celko covered  this here and here.  It can become extraordinarily handy to use once one gets into the way of thinking in these terms, and I’ve rewritten a lot of routines to use the constructor, but the old way of using UNION can be used the same way, but is a little slower and more long-winded. The use of scalar SQL subqueries as an expression in a VALUES constructor, and then applied to a MERGE, has got me thinking. It looks very clever, but what use could one put it to? I haven’t seen anything yet that couldn’t be done almost as  simply in SQL Server 2000, but I’m hopeful that someone will come up with a way of solving a tricky problem, just in the same way that a freak of the XML syntax forever made the in-line  production of delimited lists from an expression easy, or that a weird XML pirouette could do an elegant  pivot-table rotation. It is in this sort of experimentation where the community of users can make a real contribution. The dissemination of techniques such as the Number, or Tally table, or the unconventional ways that the UPDATE statement can be used, has been rapid due to articles and blogs. However, there is plenty to be done to explore some of the less obvious features of Transact SQL. Even some of the features introduced into SQL Server 2000 are hardly well-known. Certain operations on data are still awkward to perform in Transact SQL, but we mustn’t, I think, be too ready to state that certain things can only be done in the application layer, or using a CLR routine. With the vast array of features in the product, and with the tools that surround it, I feel that there is generally a way of getting tricky things done. Or should we just stick to our lasts and push anything difficult out into procedural code? I’d love to know your views.

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