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  • Efficiently select top row for each category in the set

    - by VladV
    I need to select a top row for each category from a known set (somewhat similar to this question). The problem is, how to make this query efficient on the large number of rows. For example, let's create a table that stores temperature recording in several places. CREATE TABLE #t ( placeId int, ts datetime, temp int, PRIMARY KEY (ts, placeId) ) -- insert some sample data SET NOCOUNT ON DECLARE @n int, @ts datetime SELECT @n = 1000, @ts = '2000-01-01' WHILE (@n>0) BEGIN INSERT INTO #t VALUES (@n % 10, @ts, @n % 37) IF (@n % 10 = 0) SET @ts = DATEADD(hour, 1, @ts) SET @n = @n - 1 END Now I need to get the latest recording for each of the places 1, 2, 3. This way is efficient, but doesn't scale well (and looks dirty). SELECT * FROM ( SELECT TOP 1 placeId, temp FROM #t WHERE placeId = 1 ORDER BY ts DESC ) t1 UNION ALL SELECT * FROM ( SELECT TOP 1 placeId, temp FROM #t WHERE placeId = 2 ORDER BY ts DESC ) t2 UNION ALL SELECT * FROM ( SELECT TOP 1 placeId, temp FROM #t WHERE placeId = 3 ORDER BY ts DESC ) t3 The following looks better but works much less efficiently (30% vs 70% according to the optimizer). SELECT placeId, ts, temp FROM ( SELECT placeId, ts, temp, ROW_NUMBER() OVER (PARTITION BY placeId ORDER BY ts DESC) rownum FROM #t WHERE placeId IN (1, 2, 3) ) t WHERE rownum = 1 The problem is, during the latter query execution plan a clustered index scan is performed on #t and 300 rows are retrieved, sorted, numbered, and then filtered, leaving only 3 rows. For the former query three times one row is fetched. Is there a way to perform the query efficiently without lots of unions?

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  • Sub Query making Query slow.

    - by Muhammad Kashif Nadeem
    Please copy and paste following script. DECLARE @MainTable TABLE(MainTablePkId int) INSERT INTO @MainTable SELECT 1 INSERT INTO @MainTable SELECT 2 DECLARE @SomeTable TABLE(SomeIdPk int, MainTablePkId int, ViewedTime1 datetime) INSERT INTO @SomeTable SELECT 1, 1, DATEADD(dd, -10, getdate()) INSERT INTO @SomeTable SELECT 2, 1, DATEADD(dd, -9, getdate()) INSERT INTO @SomeTable SELECT 3, 2, DATEADD(dd, -6, getdate()) DECLARE @SomeTableDetail TABLE(DetailIdPk int, SomeIdPk int, Viewed INT, ViewedTimeDetail datetime) INSERT INTO @SomeTableDetail SELECT 1, 1, 1, DATEADD(dd, -7, getdate()) INSERT INTO @SomeTableDetail SELECT 2, 2, NULL, DATEADD(dd, -6, getdate()) INSERT INTO @SomeTableDetail SELECT 3, 2, 2, DATEADD(dd, -8, getdate()) INSERT INTO @SomeTableDetail SELECT 4, 3, 1, DATEADD(dd, -6, getdate()) SELECT m.MainTablePkId, (SELECT COUNT(Viewed) FROM @SomeTableDetail), (SELECT TOP 1 s2.ViewedTimeDetail FROM @SomeTableDetail s2 INNER JOIN @SomeTable s1 ON s2.SomeIdPk = s1.SomeIdPk WHERE s1.MainTablePkId = m.MainTablePkId) FROM @MainTable m Above given script is just sample. I have long list of columns in SELECT and around 12+ columns in Sub Query. In my From clause there are around 8 tables. To fetch 2000 records full query take 21 seconds and if I remove Subquiries it just take 4 seconds. I have tried to optimize query using 'Database Engine Tuning Advisor' and on adding new advised indexes and statistics but these changes make query time even bad. Note: As I have mentioned that this is test data to explain my question the real data has lot of tables joins columns but without Sub-Query the results us fine. Any help thanks.

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  • How can I optimize this subqueried and Joined MySQL Query?

    - by kevzettler
    I'm pretty green on mysql and I need some tips on cleaning up a query. It is used in several variations through out a site. Its got some subquerys derived tables and fun going on. Heres the query: # Query_time: 2 Lock_time: 0 Rows_sent: 0 Rows_examined: 0 SELECT * FROM ( SELECT products . *, categories.category_name AS category, ( SELECT COUNT( * ) FROM distros WHERE distros.product_id = products.product_id) AS distro_count, (SELECT COUNT(*) FROM downloads WHERE downloads.product_id = products.product_id AND WEEK(downloads.date) = WEEK(curdate())) AS true_downloads, (SELECT COUNT(*) FROM views WHERE views.product_id = products.product_id AND WEEK(views.date) = WEEK(curdate())) AS true_views FROM products INNER JOIN categories ON products.category_id = categories.category_id ORDER BY created_date DESC, true_views DESC ) AS count_table WHERE count_table.distro_count > 0 AND count_table.status = 'published' AND count_table.active = 1 LIMIT 0, 8 Heres the explain: +----+--------------------+------------+-------+---------------+-------------+---------+------------------------------------+------+----------------------------------------------+ | id | select_type | table | type | possible_keys | key | key_len | ref | rows | Extra | +----+--------------------+------------+-------+---------------+-------------+---------+------------------------------------+------+----------------------------------------------+ | 1 | PRIMARY | <derived2> | ALL | NULL | NULL | NULL | NULL | 232 | Using where | | 2 | DERIVED | categories | index | PRIMARY | idx_name | 47 | NULL | 13 | Using index; Using temporary; Using filesort | | 2 | DERIVED | products | ref | category_id | category_id | 4 | digizald_db.categories.category_id | 9 | | | 5 | DEPENDENT SUBQUERY | views | ref | product_id | product_id | 4 | digizald_db.products.product_id | 46 | Using where | | 4 | DEPENDENT SUBQUERY | downloads | ref | product_id | product_id | 4 | digizald_db.products.product_id | 14 | Using where | | 3 | DEPENDENT SUBQUERY | distros | ref | product_id | product_id | 4 | digizald_db.products.product_id | 1 | Using index | +----+--------------------+------------+-------+---------------+-------------+---------+------------------------------------+------+----------------------------------------------+ 6 rows in set (0.04 sec) And the Tables: mysql> describe products; +---------------+--------------------------------------------------+------+-----+-------------------+----------------+ | Field | Type | Null | Key | Default | Extra | +---------------+--------------------------------------------------+------+-----+-------------------+----------------+ | product_id | int(10) unsigned | NO | PRI | NULL | auto_increment | | product_key | char(32) | NO | | NULL | | | title | varchar(150) | NO | | NULL | | | company | varchar(150) | NO | | NULL | | | user_id | int(10) unsigned | NO | MUL | NULL | | | description | text | NO | | NULL | | | video_code | text | NO | | NULL | | | category_id | int(10) unsigned | NO | MUL | NULL | | | price | decimal(10,2) | NO | | NULL | | | quantity | int(10) unsigned | NO | | NULL | | | downloads | int(10) unsigned | NO | | NULL | | | views | int(10) unsigned | NO | | NULL | | | status | enum('pending','published','rejected','removed') | NO | | NULL | | | active | tinyint(1) | NO | | NULL | | | deleted | tinyint(1) | NO | | NULL | | | created_date | datetime | NO | | NULL | | | modified_date | timestamp | NO | | CURRENT_TIMESTAMP | | | scrape_source | varchar(215) | YES | | NULL | | +---------------+--------------------------------------------------+------+-----+-------------------+----------------+ 18 rows in set (0.00 sec) mysql> describe categories -> ; +------------------+------------------+------+-----+---------+----------------+ | Field | Type | Null | Key | Default | Extra | +------------------+------------------+------+-----+---------+----------------+ | category_id | int(10) unsigned | NO | PRI | NULL | auto_increment | | category_name | varchar(45) | NO | MUL | NULL | | | parent_id | int(10) unsigned | YES | MUL | NULL | | | category_type_id | int(10) unsigned | NO | | NULL | | +------------------+------------------+------+-----+---------+----------------+ 4 rows in set (0.00 sec) mysql> describe compatibilities -> ; +------------------+------------------+------+-----+---------+----------------+ | Field | Type | Null | Key | Default | Extra | +------------------+------------------+------+-----+---------+----------------+ | compatibility_id | int(10) unsigned | NO | PRI | NULL | auto_increment | | name | varchar(45) | NO | | NULL | | | code_name | varchar(45) | NO | | NULL | | | description | varchar(128) | NO | | NULL | | | position | int(10) unsigned | NO | | NULL | | +------------------+------------------+------+-----+---------+----------------+ 5 rows in set (0.01 sec) mysql> describe distros -> ; +------------------+--------------------------------------------------+------+-----+---------+----------------+ | Field | Type | Null | Key | Default | Extra | +------------------+--------------------------------------------------+------+-----+---------+----------------+ | id | int(10) unsigned | NO | PRI | NULL | auto_increment | | product_id | int(10) unsigned | NO | MUL | NULL | | | compatibility_id | int(10) unsigned | NO | MUL | NULL | | | user_id | int(10) unsigned | NO | | NULL | | | status | enum('pending','published','rejected','removed') | NO | | NULL | | | distro_type | enum('file','url') | NO | | NULL | | | version | varchar(150) | NO | | NULL | | | filename | varchar(50) | YES | | NULL | | | url | varchar(250) | YES | | NULL | | | virus | enum('READY','PASS','FAIL') | YES | | NULL | | | downloads | int(10) unsigned | NO | | 0 | | +------------------+--------------------------------------------------+------+-----+---------+----------------+ 11 rows in set (0.01 sec) mysql> describe downloads; +------------+------------------+------+-----+---------+----------------+ | Field | Type | Null | Key | Default | Extra | +------------+------------------+------+-----+---------+----------------+ | id | int(10) unsigned | NO | PRI | NULL | auto_increment | | product_id | int(10) unsigned | NO | MUL | NULL | | | distro_id | int(10) unsigned | NO | MUL | NULL | | | user_id | int(10) unsigned | NO | MUL | NULL | | | ip_address | varchar(15) | NO | | NULL | | | date | datetime | NO | | NULL | | +------------+------------------+------+-----+---------+----------------+ 6 rows in set (0.01 sec) mysql> describe views -> ; +------------+------------------+------+-----+---------+----------------+ | Field | Type | Null | Key | Default | Extra | +------------+------------------+------+-----+---------+----------------+ | id | int(10) unsigned | NO | PRI | NULL | auto_increment | | product_id | int(10) unsigned | NO | MUL | NULL | | | user_id | int(10) unsigned | NO | MUL | NULL | | | ip_address | varchar(15) | NO | | NULL | | | date | datetime | NO | | NULL | | +------------+------------------+------+-----+---------+----------------+ 5 rows in set (0.00 sec)

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  • jquery disable/remove option on select?

    - by SoulieBaby
    Hi all, I have two select lists, I would like jquery to either remove or disable a select option, depending on what is selected from the first select list: <select name="booking" id="booking"> <option value="3">Group Bookings</option> <option value="2" selected="selected">Port Phillip Bay Snapper Charters</option> <option value="6">Portland Tuna Fishing</option> <option value="1">Sport Fishing</option> </select> Here's the second list (which will only ever have two values): <select name="charterType" id="charterType"> <option value="1">Individual Booking</option> <option value="2">Group Booking</option> </select> If Group Bookings or Port Phillip Bay Snapper Charters are selected, I need only "Group Booking" to be displayed. (To basically hide "Individual Booking") but I can't seem to get it to work.. If someone could help me that'd be great!! :) I've also tried using a switch, but that doesnt work either.. /* select list */ switch (jQuery('#booking :selected').text()) { case 'Sport Fishing': alert('AA'); break; case 'Port Phillip Bay Snapper Charters': jQuery("#charterType option[value=1]").remove(); alert('BB'); break; case 'Portland Tuna Fishing': alert('CC'); break; case 'Group Bookings': alert('DD'); break; }; It alerts, but doesn't do anything else..

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  • PHP DELETE immediately after select

    - by teehoo
    I have a PHP server script that SELECTs some data from a MySQL database. As soon as I have the result from mysql_query and mysql_fetch_assoc stored in my own local variables, I want to delete the row I just selected. The problem with this approach is that it seems that PHP has done pass-by-reference to my local variables instead of pass-by-value, and my local variables become undefined after the delete command. Is there anyway to get around this? Here is my code: $query="SELECT id, peerID, name FROM names WHERE peer = $userID AND docID = '$docID' AND seqNo = $nid"; $result = mysql_query($query); if (!$result) self::logError("FAIL:1 getUsersNamesUpdate() query: ".$query."\n"); if (mysql_num_rows($result) == 0) return array(); $row = mysql_fetch_assoc($result); $result = array(); $result["id"] = $row["id"]; $result["peerID"] = $row["peerID"]; $result["name"] = $row["name"]; $query="DELETE FROM names WHERE id = $result[id];"; $result = mysql_query($query); if (!$result) self::logError("FAIL:2 getUsersNamesUpdate() query: ".$query."\n"); return $result;

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  • Select dropdown with fixed width cutting off content in IE

    - by aaandre
    The issue: Some of the items in the select require more than the specified width of 145px in order to display fully. Firefox behavior: clicking on the select reveals the dropdown elements list adjusted to the width of the longest element. IE6 & IE7 behavior: clicking on the select reveals the dropdown elements list restricted to 145px width making it impossible to read the longer elements. The current UI requires us to fit this dropdown in 145px and have it host items with longer descriptions. Any advise on resolving the issue with IE? The top element should remain 145px wide even when the list is expanded. Thank you! The css: select.center_pull { background:#eeeeee none repeat scroll 0 0; border:1px solid #7E7E7E; color:#333333; font-size:12px; margin-bottom:4px; margin-right:4px; margin-top:4px; width:145px; } Here's the select input code (there's no definition for the backend_dropbox style at this time) <select id="select_1" class="center_pull backend_dropbox" name="select_1"> <option value="-1" selected="selected">Browse options</option> <option value="-1">------------------------------------</option> <option value="224">Option 1</option> <option value="234">Longer title for option 2</option> <option value="242">Very long and extensively descriptive title for option 3</option> </select> Full html page in case you want to quickly test in a browser: <!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd"> <html xmlns="http://www.w3.org/1999/xhtml"> <head> <meta http-equiv="Content-Type" content="text/html; charset=utf-8" /> <title>dropdown test</title> <style type="text/css"> <!-- select.center_pull { background:#eeeeee none repeat scroll 0 0; border:1px solid #7E7E7E; color:#333333; font-size:12px; margin-bottom:4px; margin-right:4px; margin-top:4px; width:145px; } --> </style> </head> <body> <p>Select width test</p> <form id="form1" name="form1" method="post" action=""> <select id="select_1" class="center_pull backend_dropbox" name="select_1"> <option value="-1" selected="selected">Browse options</option> <option value="-1">------------------------------------</option> <option value="224">Option 1</option> <option value="234">Longer title for option 2</option> <option value="242">Very long and extensively descriptive title for option 3</option> </select> </form> </body> </html>

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  • Nested SQL Select statement fails on SQL Server 2000, ok on SQL Server 2005

    - by Jay
    Here is the query: INSERT INTO @TempTable SELECT UserID, Name, Address1 = (SELECT TOP 1 [Address] FROM (SELECT TOP 1 [Address] FROM [UserAddress] ua INNER JOIN UserAddressOrder uo ON ua.UserID = uo.UserID WHERE ua.UserID = u.UserID ORDER BY uo.AddressOrder ASC) q ORDER BY AddressOrder DESC), Address2 = (SELECT TOP 1 [Address] FROM (SELECT TOP 2 [Address] FROM [UserAddress] ua INNER JOIN UserAddressOrder uo ON ua.UserID = uo.UserID WHERE ua.UserID = u.UserID ORDER BY uo.AddressOrder ASC) q ORDER BY AddressOrder DESC) FROM User u In this scenario, users have multiple address definitions, with an integer field specifying the preferred order. "Address2" (the second preferred address) attempts to take the top two preferred addresses, order them descending, then take the top one from the result. You might say, just use a subquery which does a SELECT for the record with "2" in the Order field, but the Order values are not contiguous. How can this be rewritten to conform to SQL 2000's limitations? Very much appreciated.

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  • html select option tag closes itself due to a "/" character in the dynamic value (JSP, JSTL)

    - by saky
    <select id="ordersSelect" class="drop-down" onchange="somemethod()"> <c:forEach items="${orders}" var="order" varStatus="orderStatus"> <option value="${order.id}"> ${order.publicId} </option> </c:forEach> </select> I have the above peice of code in a JSP page, that receives a list of Orders and each order has some information, the particular information that I want to display in a SELECT field is the publicId. The problem is that, on display there is only one OPTION in the SELECT and the rest of the order's publicId s are displayed as normal text below the SELECT box and not an OPTION to select. I found out that the publicId actually contains a String like A10/0001/0 and that is the character "/" is most probably causing the problem. Any solutions/suggestion/ideas?

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  • Problem with JMX query of Coherence node MBeans visible in JConsole

    - by Quinn Taylor
    I'm using JMX to build a custom tool for monitoring remote Coherence clusters at work. I'm able to connect just fine and query MBeans directly, and I've acquired nearly all the information I need. However, I've run into a snag when trying to query MBeans for specific caches within a cluster, which is where I can find stats about total number of gets/puts, average time for each, etc. The MBeans I'm trying to access programatically are visible when I connect to the remote process using JConsole, and have names like this: Coherence:type=Cache,service=SequenceQueue,name=SEQ%GENERATOR,nodeId=1,tier=back It would make it more flexible if I can dynamically grab all type=Cache MBeans for a particular node ID without specifying all the caches. I'm trying to query them like this: QueryExp specifiedNodeId = Query.eq(Query.attr("nodeId"), Query.value(nodeId)); QueryExp typeIsCache = Query.eq(Query.attr("type"), Query.value("Cache")); QueryExp cacheNodes = Query.and(specifiedNodeId, typeIsCache); ObjectName coherence = new ObjectName("Coherence:*"); Set<ObjectName> cacheMBeans = mBeanServer.queryMBeans(coherence, cacheNodes); However, regardless of whether I use queryMBeans() or queryNames(), the query returns a Set containing... ...0 objects if I pass the arguments shown above ...0 objects if I pass null for the first argument ...all MBeans in the Coherence:* domain (112) if I pass null for the second argument ...every single MBean (128) if I pass null for both arguments The first two results are the unexpected ones, and suggest a problem in the QueryExp I'm passing, but I can't figure out what the problem is. I even tried just passing typeIsCache or specifiedNodeId for the second parameter (with either coherence or null as the first parameter) and I always get 0 results. I'm pretty green with JMX — any insight on what the problem is? (FYI, the monitoring tool will be run on Java 5, so things like JMX 2.0 won't help me at this point.)

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  • jQuery remove SELECT options based on another SELECT selected on change and on load

    - by John Sieber
    I'm using the following jQuery code to remove options from a select and it is working well. But instead of it only executing when the theOption2 select is changed I would also like it to work when the page is loaded depending on the selected item that is selected. I tried using the a copy of the script and changing the .change to .load and also tried using (window).load without the desired results. Essentially, I need the script to execute on change of the Options1 and on the loading of the page. Any help with this would be greatly appreciated. <script type="text/javascript"> $(document).ready(function() { //copy the second select, so we can easily reset it var selectClone = $('#theOptions2').clone(); $('#theOptions1').change(function() { var val = parseInt($(this).val()); //reset the second select on each change $('#theOptions2').html(selectClone.html()) switch(val) { //if 2 is selected remove C case 2 : $('#theOptions2').find('option:contains(c)').remove();break; //if 3 is selected remove A case 3 : $('#theOptions2').find('option:contains(a)').remove();break; } }); }); </script> <select id="theOptions1"> <option value="1">1</option> <option value="2" selected="selected">2</option> <option value="3">3</option> </select> <br /> <select id="theOptions2"> <option>a</option> <option>b</option> <option>c</option> </select>

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  • Select multiple submit issue - POST is empty if not selected

    - by Dasun
    I have a multiple select as below. It allows me to select options as below. Assume that 3 sports are selected. When the items are select as shown above form submit is successful. But unfortunately if the sports are not selected like below when the form is submitted post is empty. Select box <select style="width: 100px; height: 80px;" class="input" id="selected_sport_list" name="selected_sport_list[]" multiple=""> <option value="2">sport 2</option> <option value="3">sport 3</option> <option value="5">sport test x</option></select> How can I make sure that when the form is submitted particular items are selected? Is it possible to use jquery to fix this ? or how? Thanks

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  • jQuery - Why editable-select list plugin doesn't work with latest jQuery?

    - by Binyamin
    Why editable-select list plugin<select><option>value</option>doesn't work with latest jQuery? editable-select code: /** * Copyright (c) 2009 Anders Ekdahl (http://coffeescripter.com/) * Dual licensed under the MIT (http://www.opensource.org/licenses/mit-license.php) * and GPL (http://www.opensource.org/licenses/gpl-license.php) licenses. * * Version: 1.3.1 * * Demo and documentation: http://coffeescripter.com/code/editable-select/ */ (function($) { var instances = []; $.fn.editableSelect = function(options) { var defaults = { bg_iframe: false, onSelect: false, items_then_scroll: 10, case_sensitive: false }; var settings = $.extend(defaults, options); // Only do bg_iframe for browsers that need it if(settings.bg_iframe && !$.browser.msie) { settings.bg_iframe = false; }; var instance = false; $(this).each(function() { var i = instances.length; if(typeof $(this).data('editable-selecter') == 'undefined') { instances[i] = new EditableSelect(this, settings); $(this).data('editable-selecter', i); }; }); return $(this); }; $.fn.editableSelectInstances = function() { var ret = []; $(this).each(function() { if(typeof $(this).data('editable-selecter') != 'undefined') { ret[ret.length] = instances[$(this).data('editable-selecter')]; }; }); return ret; }; var EditableSelect = function(select, settings) { this.init(select, settings); }; EditableSelect.prototype = { settings: false, text: false, select: false, wrapper: false, list_item_height: 20, list_height: 0, list_is_visible: false, hide_on_blur_timeout: false, bg_iframe: false, current_value: '', init: function(select, settings) { this.settings = settings; this.select = $(select); this.text = $('<input type="text">'); this.text.attr('name', this.select.attr('name')); this.text.data('editable-selecter', this.select.data('editable-selecter')); // Because we don't want the value of the select when the form // is submitted this.select.attr('disabled', 'disabled'); var id = this.select.attr('id'); if(!id) { id = 'editable-select'+ instances.length; }; this.text.attr('id', id); this.text.attr('autocomplete', 'off'); this.text.addClass('editable-select'); this.select.attr('id', id +'_hidden_select'); this.initInputEvents(this.text); this.duplicateOptions(); this.positionElements(); this.setWidths(); if(this.settings.bg_iframe) { this.createBackgroundIframe(); }; }, duplicateOptions: function() { var context = this; var wrapper = $(document.createElement('div')); wrapper.addClass('editable-select-options'); var option_list = $(document.createElement('ul')); wrapper.append(option_list); var options = this.select.find('option'); options.each(function() { if($(this).attr('selected')) { context.text.val($(this).val()); context.current_value = $(this).val(); }; var li = $('<li>'+ $(this).val() +'</li>'); context.initListItemEvents(li); option_list.append(li); }); this.wrapper = wrapper; this.checkScroll(); }, checkScroll: function() { var options = this.wrapper.find('li'); if(options.length > this.settings.items_then_scroll) { this.list_height = this.list_item_height * this.settings.items_then_scroll; this.wrapper.css('height', this.list_height +'px'); this.wrapper.css('overflow', 'auto'); } else { this.wrapper.css('height', 'auto'); this.wrapper.css('overflow', 'visible'); }; }, addOption: function(value) { var li = $('<li>'+ value +'</li>'); var option = $('<option>'+ value +'</option>'); this.select.append(option); this.initListItemEvents(li); this.wrapper.find('ul').append(li); this.setWidths(); this.checkScroll(); }, initInputEvents: function(text) { var context = this; var timer = false; $(document.body).click( function() { context.clearSelectedListItem(); context.hideList(); } ); text.focus( function() { // Can't use the blur event to hide the list, because the blur event // is fired in some browsers when you scroll the list context.showList(); context.highlightSelected(); } ).click( function(e) { e.stopPropagation(); context.showList(); context.highlightSelected(); } ).keydown( // Capture key events so the user can navigate through the list function(e) { switch(e.keyCode) { // Down case 40: if(!context.listIsVisible()) { context.showList(); context.highlightSelected(); } else { e.preventDefault(); context.selectNewListItem('down'); }; break; // Up case 38: e.preventDefault(); context.selectNewListItem('up'); break; // Tab case 9: context.pickListItem(context.selectedListItem()); break; // Esc case 27: e.preventDefault(); context.hideList(); return false; break; // Enter, prevent form submission case 13: e.preventDefault(); context.pickListItem(context.selectedListItem()); return false; }; } ).keyup( function(e) { // Prevent lots of calls if it's a fast typer if(timer !== false) { clearTimeout(timer); timer = false; }; timer = setTimeout( function() { // If the user types in a value, select it if it's in the list if(context.text.val() != context.current_value) { context.current_value = context.text.val(); context.highlightSelected(); }; }, 200 ); } ).keypress( function(e) { if(e.keyCode == 13) { // Enter, prevent form submission e.preventDefault(); return false; }; } ); }, initListItemEvents: function(list_item) { var context = this; list_item.mouseover( function() { context.clearSelectedListItem(); context.selectListItem(list_item); } ).mousedown( // Needs to be mousedown and not click, since the inputs blur events // fires before the list items click event function(e) { e.stopPropagation(); context.pickListItem(context.selectedListItem()); } ); }, selectNewListItem: function(direction) { var li = this.selectedListItem(); if(!li.length) { li = this.selectFirstListItem(); }; if(direction == 'down') { var sib = li.next(); } else { var sib = li.prev(); }; if(sib.length) { this.selectListItem(sib); this.scrollToListItem(sib); this.unselectListItem(li); }; }, selectListItem: function(list_item) { this.clearSelectedListItem(); list_item.addClass('selected'); }, selectFirstListItem: function() { this.clearSelectedListItem(); var first = this.wrapper.find('li:first'); first.addClass('selected'); return first; }, unselectListItem: function(list_item) { list_item.removeClass('selected'); }, selectedListItem: function() { return this.wrapper.find('li.selected'); }, clearSelectedListItem: function() { this.wrapper.find('li.selected').removeClass('selected'); }, pickListItem: function(list_item) { if(list_item.length) { this.text.val(list_item.text()); this.current_value = this.text.val(); }; if(typeof this.settings.onSelect == 'function') { this.settings.onSelect.call(this, list_item); }; this.hideList(); }, listIsVisible: function() { return this.list_is_visible; }, showList: function() { this.wrapper.show(); this.hideOtherLists(); this.list_is_visible = true; if(this.settings.bg_iframe) { this.bg_iframe.show(); }; }, highlightSelected: function() { var context = this; var current_value = this.text.val(); if(current_value.length < 0) { if(highlight_first) { this.selectFirstListItem(); }; return; }; if(!context.settings.case_sensitive) { current_value = current_value.toLowerCase(); }; var best_candiate = false; var value_found = false; var list_items = this.wrapper.find('li'); list_items.each( function() { if(!value_found) { var text = $(this).text(); if(!context.settings.case_sensitive) { text = text.toLowerCase(); }; if(text == current_value) { value_found = true; context.clearSelectedListItem(); context.selectListItem($(this)); context.scrollToListItem($(this)); return false; } else if(text.indexOf(current_value) === 0 && !best_candiate) { // Can't do return false here, since we still need to iterate over // all list items to see if there is an exact match best_candiate = $(this); }; }; } ); if(best_candiate && !value_found) { context.clearSelectedListItem(); context.selectListItem(best_candiate); context.scrollToListItem(best_candiate); } else if(!best_candiate && !value_found) { this.selectFirstListItem(); }; }, scrollToListItem: function(list_item) { if(this.list_height) { this.wrapper.scrollTop(list_item[0].offsetTop - (this.list_height / 2)); }; }, hideList: function() { this.wrapper.hide(); this.list_is_visible = false; if(this.settings.bg_iframe) { this.bg_iframe.hide(); }; }, hideOtherLists: function() { for(var i = 0; i < instances.length; i++) { if(i != this.select.data('editable-selecter')) { instances[i].hideList(); }; }; }, positionElements: function() { var offset = this.select.offset(); offset.top += this.select[0].offsetHeight; this.select.after(this.text); this.select.hide(); this.wrapper.css({top: offset.top +'px', left: offset.left +'px'}); $(document.body).append(this.wrapper); // Need to do this in order to get the list item height this.wrapper.css('visibility', 'hidden'); this.wrapper.show(); this.list_item_height = this.wrapper.find('li')[0].offsetHeight; this.wrapper.css('visibility', 'visible'); this.wrapper.hide(); }, setWidths: function() { // The text input has a right margin because of the background arrow image // so we need to remove that from the width var width = this.select.width() + 2; var padding_right = parseInt(this.text.css('padding-right').replace(/px/, ''), 10); this.text.width(width - padding_right); this.wrapper.width(width + 2); if(this.bg_iframe) { this.bg_iframe.width(width + 4); }; }, createBackgroundIframe: function() { var bg_iframe = $('<iframe frameborder="0" class="editable-select-iframe" src="about:blank;"></iframe>'); $(document.body).append(bg_iframe); bg_iframe.width(this.select.width() + 2); bg_iframe.height(this.wrapper.height()); bg_iframe.css({top: this.wrapper.css('top'), left: this.wrapper.css('left')}); this.bg_iframe = bg_iframe; } }; })(jQuery); $(function() { $('.editable-select').editableSelect( { bg_iframe: true, onSelect: function(list_item) { alert('List item text: '+ list_item.text()); // 'this' is a reference to the instance of EditableSelect // object, so you have full access to everything there // alert('Input value: '+ this.text.val()); }, case_sensitive: false, // If set to true, the user has to type in an exact // match for the item to get highlighted items_then_scroll: 10 // If there are more than 10 items, display a scrollbar } ); var select = $('.editable-select:first'); var instances = select.editableSelectInstances(); // instances[0].addOption('Germany, value added programmatically'); });

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  • How to Create MySQL Query to Find Related Posts from Multiple Tables?

    - by Robert Samuel White
    This is a complicated situation (for me) that I'm hopeful someone on here can help me with. I've done plenty of searching for a solution and have not been able to locate one. This is essentially my situation... (I've trimmed it down because if someone can help me to create this query I can take it from there.) TABLE articles (article_id, article_title) TABLE articles_tags (row_id, article_id, tag_id) TABLE article_categories (row_id, article_id, category_id) All of the tables have article_id in common. I know what all of the tag_id and category_id rows are. What I want to do is return a list of all the articles that article_tags and article_categories MAY have in common, ordered by the number of common entries. For example: article1 - tags: tag1, tag2, tag3 - categories: cat1, cat2 article2 - tags: tag2 - categories: cat1, cat2 article3 - tags: tag1, tag3 - categories: cat1 So if my article had "tag1" and "cat1 and cat2" it should return the articles in this order: article1 (tag1, cat1 and cat2 in common) article3 (tag1, cat1 in common) article2 (cat1 in common) Any help would genuinely be appreciated! Thank you!

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  • How to automatically expand html select element in javascript

    - by xan
    I have a (hidden) html select object in my menu attached to a menu button link, so that clicking the link shows the list so you can pick from it. When you click the button, it calls some javascript to show the <select>. Clicking away from the <select> hides the list. What I really want is to make the <select> appear fully expanded, as if you had clicked on the "down" arrow, but I can't get this working. I've tried lots of different approaches, but can't make any headway. What I'm doing currently is this: <li> <a href="javascript:showlist();"><img src="/images/icons/add.png"/>Add favourite</a> <select id="list" style="display:none; onblur="javascript:cancellist()"> </select> </li> // in code function showlist() { //using prototype not jQuery $('list').show(); // shows the select list $('list').focus(); // sets focus so that when you click away it calles onblur() } I've tried calling $('list').click(). I've tried setting onfocus="this.click()" But in both cases I'm getting Uncaught TypeError: Object # has no method 'click' which is peculiar as link text says that it supports the standard functions. I've tried setting the .size = .length which works, but doesn't have the same appearance (as when you click to open the element, it floats over the rest of the page.) Does anyone have any suggestions?

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  • In MySQL, what is the most effective query design for joining large tables with many to many relatio

    - by lighthouse65
    In our application, we collect data on automotive engine performance -- basically source data on engine performance based on the engine type, the vehicle running it and the engine design. Currently, the basis for new row inserts is an engine on-off period; we monitor performance variables based on a change in engine state from active to inactive and vice versa. The related engineState table looks like this: +---------+-----------+---------------+---------------------+---------------------+-----------------+ | vehicle | engine | engine_state | state_start_time | state_end_time | engine_variable | +---------+-----------+---------------+---------------------+---------------------+-----------------+ | 080025 | E01 | active | 2008-01-24 16:19:15 | 2008-01-24 16:24:45 | 720 | | 080028 | E02 | inactive | 2008-01-24 16:19:25 | 2008-01-24 16:22:17 | 304 | +---------+-----------+---------------+---------------------+---------------------+-----------------+ For a specific analysis, we would like to analyze table content based on a row granularity of minutes, rather than the current basis of active / inactive engine state. For this, we are thinking of creating a simple productionMinute table with a row for each minute in the period we are analyzing and joining the productionMinute and engineEvent tables on the date-time columns in each table. So if our period of analysis is from 2009-12-01 to 2010-02-28, we would create a new table with 129,600 rows, one for each minute of each day for that three-month period. The first few rows of the productionMinute table: +---------------------+ | production_minute | +---------------------+ | 2009-12-01 00:00 | | 2009-12-01 00:01 | | 2009-12-01 00:02 | | 2009-12-01 00:03 | +---------------------+ The join between the tables would be engineState AS es LEFT JOIN productionMinute AS pm ON es.state_start_time <= pm.production_minute AND pm.production_minute <= es.event_end_time. This join, however, brings up multiple environmental issues: The engineState table has 5 million rows and the productionMinute table has 130,000 rows When an engineState row spans more than one minute (i.e. the difference between es.state_start_time and es.state_end_time is greater than one minute), as is the case in the example above, there are multiple productionMinute table rows that join to a single engineState table row When there is more than one engine in operation during any given minute, also as per the example above, multiple engineState table rows join to a single productionMinute row In testing our logic and using only a small table extract (one day rather than 3 months, for the productionMinute table) the query takes over an hour to generate. In researching this item in order to improve performance so that it would be feasible to query three months of data, our thoughts were to create a temporary table from the engineEvent one, eliminating any table data that is not critical for the analysis, and joining the temporary table to the productionMinute table. We are also planning on experimenting with different joins -- specifically an inner join -- to see if that would improve performance. What is the best query design for joining tables with the many:many relationship between the join predicates as outlined above? What is the best join type (left / right, inner)?

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  • Not getting the right expected output for my Mysql Query?

    - by user1878107
    i've 4 tables as shown below doctors id name ------------ 1 Mathew 2 Praveen 3 Rosie 4 Arjun 5 Denis doctors_appointments id doctors_id patient_name contact date status -------------------------------------------------------------------------------------- 1 5 Nidhin 9876543210 2012-12-10 15:39:41 Registered 2 5 Sunny 9876543210 2012-12-18 15:39:48 Registered 3 5 Mani 9876543210 2012-12-12 15:39:57 Registered 4 2 John 9876543210 2012-12-24 15:40:09 Registered 5 4 Raj 9876543210 2012-12-05 15:41:57 Registered 6 3 Samuel 9876543210 2012-12-14 15:41:33 Registered 7 2 Louis 9876543210 2012-12-24 15:40:23 Registered 8 1 Federick 9876543210 2012-12-28 15:41:05 Registered 9 2 Sam 9876543210 2012-12-12 15:40:38 Registered 10 4 Sita 9876543210 2012-12-12 15:41:00 Registered doctors_dutyplan id doctor_id weeks time no_of_patients ------------------------------------------------------------------ 1 1 3,6,7 9:00am-1:00pm 10 2 2 3,4,5 1:00pm-4:00pm 7 3 3 3,6,7 10:00am-2:00pm 10 4 4 3,4,5,6 8:30am-12:30pm 12 5 5 3,4,5,6,7 9:00am-4:00pm 30 emp_leave id empid leavedate -------------------------------- 1 2 2012-12-05 14:42:36 2 2 2012-12-03 14:42:59 3 3 2012-12-03 14:43:06 4 3 2012-12-06 14:43:14 5 5 2012-12-04 14:43:24 My task is to find all the days in a month in which the doctor is available excluding the leave dates. My query what is wrote is given below: SELECT DATE_ADD( '2012-12-01', INTERVAL ROW DAY ) AS Date, ROW +1 AS DayOfMonth FROM ( SELECT @row := @row +1 AS ROW FROM ( SELECT 0 UNION ALL SELECT 1 UNION ALL SELECT 3 UNION ALL SELECT 4 UNION ALL SELECT 5 UNION ALL SELECT 6 )t1, ( SELECT 0 UNION ALL SELECT 1 UNION ALL SELECT 3 UNION ALL SELECT 4 UNION ALL SELECT 5 UNION ALL SELECT 6 )t2, ( SELECT @row := -1 )t3 LIMIT 31 )b WHERE DATE_ADD( '2012-12-01', INTERVAL ROW DAY ) BETWEEN '2012-12-01' AND '2012-12-31' AND DAYOFWEEK( DATE_ADD( '2012-12-01', INTERVAL ROW DAY ) ) =2 AND DATE_ADD( '2012-12-01', INTERVAL ROW DAY ) NOT IN ( SELECT DATE_FORMAT( l.leavedate, '%Y-%m-%d' ) AS date FROM doctors_dutyplan d LEFT JOIN emp_leave AS l ON d.doctor_id = l.empid WHERE doctor_id =2 ) This works fine for all doctors who took any leave in a particular day in a month (here in the example it is Decemeber 2012). and the result is shown below: Date DayOfMonth ----------------------- 2012-12-10 10 2012-12-17 17 2012-12-24 24 2012-12-31 31 But on the other hand for the doctors who did'nt took any leave , for that my query is showing empty table, example for the doctor Mathew whose id is 1, my query returns an empty result can anyone please tell a solution for this problem. Thanks in advance.

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  • Get all Select Elements in a Form by referencing $(this) instead of $("form select")

    - by DaveDev
    Hi Guys I'm currently getting all the Select elements that exist in a form with the following: $("form").submit(function(event) { // gather data var data = GetSelectData($("form select")); // do submit $.post($(this).attr("action"), data, ..etc) }); Instead of passing in $("form select"), is there a way I can say something like $(this).children('select') // this doesn't work, btw to get all the select elements that exist within the context of the form the submit event is executing for? This will allow me to reduce my code to the following, moving all the functionality into a common function: $("form").submit(function(event) { GatherDataAndSubmit($(this)); }); function GatherDataAndSubmit(obj) { var data = GetSelectData(obj.children('select')); $.post(obj.attr("action"), data, ..etc) } Thanks Dave

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  • jQuery: show an element from select drop down, hide it when other option selected

    - by Ricardo Zea
    I've tried looking around and there are similar problems, but mine is way more simple, but yet, I can't find a solution within these forums. While learning jQuery, I'm trying to show a DIV when an item/option from a select drop down is selected, and hide that same DIV when any other option in the select drop down is selected. select HTML: <select name="source" id="source"> <option value="null" selected="selected">&mdash;Select&mdash;</option> <option value="s1">Source 1</option> <option value="s2">Source 2</option> <option value="sother">Other</option> </select> DIV I need to show when 'Other' is selected: <div id="specify-source">Other source here...</div> When any other option in the select menu is selected, the above DIV shouldn't be visible. I've tried this jQuery but of course it doesn't work properly: $(function() { $.viewMap = { 'sother' : $('#specify-source') }; $('#source').change(function() { // hide all $.each($.viewMap, function() { this.hide(); }); // show current $.viewMap[$(this).val()].show(); }); }); Any help you can give me, I'd greatly appreciate it. Thanks,

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  • jQuery Mobile and Select menu with URLs

    - by user1907347
    Been battling with this for a while now. I'm trying to get a select menu to work as a navigation menu but I cannot get the URLs to work and have it actually change pages. In the head: <script> $(function() { $("#select-choice-1").click(function() { $.mobile.changePage($("#select-choice-1")); }); }); </script> With this Menu: <div id="MobileWrapper" data-role="fieldcontain"> <select name="select-choice-1" id="select-choice-1" data-theme="a" data-form="ui-btn-up-a" data-mini="true"> <option data-placeholder="true">Navigation</option><!-- data=placeholder makes this not show up in the pop up--> <option value="/index.php" data-ajax="false">Home</option> <option value="/services/index.php" data-ajax="false">Services</option> <option value="/trainers/index.php" data-ajax="false">Trainers</option> <option value="/locations/index.php" data-ajax="false">Locations</option> <option value="/calendar/index.php" data-ajax="false">Calendar</option> <option value="/contactus/index.php" data-ajax="false">Contact Us</option> </select> </div><!--END MobileWrapper DIV-->

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  • SQL SERVER – Signal Wait Time Introduction with Simple Example – Wait Type – Day 2 of 28

    - by pinaldave
    In this post, let’s delve a bit more in depth regarding wait stats. The very first question: when do the wait stats occur? Here is the simple answer. When SQL Server is executing any task, and if for any reason it has to wait for resources to execute the task, this wait is recorded by SQL Server with the reason for the delay. Later on we can analyze these wait stats to understand the reason the task was delayed and maybe we can eliminate the wait for SQL Server. It is not always possible to remove the wait type 100%, but there are few suggestions that can help. Before we continue learning about wait types and wait stats, we need to understand three important milestones of the query life-cycle. Running - a query which is being executed on a CPU is called a running query. This query is responsible for CPU time. Runnable – a query which is ready to execute and waiting for its turn to run is called a runnable query. This query is responsible for Signal Wait time. (In other words, the query is ready to run but CPU is servicing another query). Suspended – a query which is waiting due to any reason (to know the reason, we are learning wait stats) to be converted to runnable is suspended query. This query is responsible for wait time. (In other words, this is the time we are trying to reduce). In simple words, query execution time is a summation of the query Executing CPU Time (Running) + Query Wait Time (Suspended) + Query Signal Wait Time (Runnable). Again, it may be possible a query goes to all these stats multiple times. Let us try to understand the whole thing with a simple analogy of a taxi and a passenger. Two friends, Tom and Danny, go to the mall together. When they leave the mall, they decide to take a taxi. Tom and Danny both stand in the line waiting for their turn to get into the taxi. This is the Signal Wait Time as they are ready to get into the taxi but the taxis are currently serving other customer and they have to wait for their turn. In other word they are in a runnable state. Now when it is their turn to get into the taxi, the taxi driver informs them he does not take credit cards and only cash is accepted. Neither Tom nor Danny have enough cash, they both cannot get into the vehicle. Tom waits outside in the queue and Danny goes to ATM to fetch the cash. During this time the taxi cannot wait, they have to let other passengers get into the taxi. As Tom and Danny both are outside in the queue, this is the Query Wait Time and they are in the suspended state. They cannot do anything till they get the cash. Once Danny gets the cash, they are both standing in the line again, creating one more Signal Wait Time. This time when their turn comes they can pay the taxi driver in cash and reach their destination. The time taken for the taxi to get from the mall to the destination is running time (CPU time) and the taxi is running. I hope this analogy is bit clear with the wait stats. You can check the Signalwait stats using following query of Glenn Berry. -- Signal Waits for instance SELECT CAST(100.0 * SUM(signal_wait_time_ms) / SUM (wait_time_ms) AS NUMERIC(20,2)) AS [%signal (cpu) waits], CAST(100.0 * SUM(wait_time_ms - signal_wait_time_ms) / SUM (wait_time_ms) AS NUMERIC(20,2)) AS [%resource waits] FROM sys.dm_os_wait_stats OPTION (RECOMPILE); Higher the Signal wait stats are not good for the system. Very high value indicates CPU pressure. In my experience, when systems are running smooth and without any glitch the Signal wait stat is lower than 20%. Again, this number can be debated (and it is from my experience and is not documented anywhere). In other words, lower is better and higher is not good for the system. In future articles we will discuss in detail the various wait types and wait stats and their resolution. Read all the post in the Wait Types and Queue series. Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: Pinal Dave, PostADay, SQL, SQL Authority, SQL DMV, SQL Performance, SQL Query, SQL Scripts, SQL Server, SQL Tips and Tricks, SQL Wait Stats, SQL Wait Types, T SQL, Technology

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  • SQL SERVER – Single Wait Time Introduction with Simple Example – Wait Type – Day 2 of 28

    - by pinaldave
    In this post, let’s delve a bit more in depth regarding wait stats. The very first question: when do the wait stats occur? Here is the simple answer. When SQL Server is executing any task, and if for any reason it has to wait for resources to execute the task, this wait is recorded by SQL Server with the reason for the delay. Later on we can analyze these wait stats to understand the reason the task was delayed and maybe we can eliminate the wait for SQL Server. It is not always possible to remove the wait type 100%, but there are few suggestions that can help. Before we continue learning about wait types and wait stats, we need to understand three important milestones of the query life-cycle. Running - a query which is being executed on a CPU is called a running query. This query is responsible for CPU time. Runnable – a query which is ready to execute and waiting for its turn to run is called a runnable query. This query is responsible for Single Wait time. (In other words, the query is ready to run but CPU is servicing another query). Suspended – a query which is waiting due to any reason (to know the reason, we are learning wait stats) to be converted to runnable is suspended query. This query is responsible for wait time. (In other words, this is the time we are trying to reduce). In simple words, query execution time is a summation of the query Executing CPU Time (Running) + Query Wait Time (Suspended) + Query Single Wait Time (Runnable). Again, it may be possible a query goes to all these stats multiple times. Let us try to understand the whole thing with a simple analogy of a taxi and a passenger. Two friends, Tom and Danny, go to the mall together. When they leave the mall, they decide to take a taxi. Tom and Danny both stand in the line waiting for their turn to get into the taxi. This is the Signal Wait Time as they are ready to get into the taxi but the taxis are currently serving other customer and they have to wait for their turn. In other word they are in a runnable state. Now when it is their turn to get into the taxi, the taxi driver informs them he does not take credit cards and only cash is accepted. Neither Tom nor Danny have enough cash, they both cannot get into the vehicle. Tom waits outside in the queue and Danny goes to ATM to fetch the cash. During this time the taxi cannot wait, they have to let other passengers get into the taxi. As Tom and Danny both are outside in the queue, this is the Query Wait Time and they are in the suspended state. They cannot do anything till they get the cash. Once Danny gets the cash, they are both standing in the line again, creating one more Single Wait Time. This time when their turn comes they can pay the taxi driver in cash and reach their destination. The time taken for the taxi to get from the mall to the destination is running time (CPU time) and the taxi is running. I hope this analogy is bit clear with the wait stats. You can check the single wait stats using following query of Glenn Berry. -- Signal Waits for instance SELECT CAST(100.0 * SUM(signal_wait_time_ms) / SUM (wait_time_ms) AS NUMERIC(20,2)) AS [%signal (cpu) waits], CAST(100.0 * SUM(wait_time_ms - signal_wait_time_ms) / SUM (wait_time_ms) AS NUMERIC(20,2)) AS [%resource waits] FROM sys.dm_os_wait_stats OPTION (RECOMPILE); Higher the single wait stats are not good for the system. Very high value indicates CPU pressure. In my experience, when systems are running smooth and without any glitch the single wait stat is lower than 20%. Again, this number can be debated (and it is from my experience and is not documented anywhere). In other words, lower is better and higher is not good for the system. In future articles we will discuss in detail the various wait types and wait stats and their resolution. Read all the post in the Wait Types and Queue series. Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: Pinal Dave, PostADay, SQL, SQL Authority, SQL DMV, SQL Performance, SQL Query, SQL Scripts, SQL Server, SQL Tips and Tricks, SQL Wait Stats, SQL Wait Types, T SQL, Technology

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  • MySQL: select words as rows even som are "new line" separated in one field

    - by Tillebeck
    Hi I have a table with a field where words are written separated with new lines. So a select on this single field from to rows will output 3 lines for first row and 2 lines for second row: Row1 designationer nye kolonier mindre byer Row2 udsteder bopladser I would like to do a select that select all these lines as if they had been rows in the table like: SELECT do_the_split(field) FROM table so the result would be more like: Row1 designationer Row2 nye kolonier Row3 mindre byer Row4 udsteder Row5 bopladser is there any way to do this in MySQL? BR. Anders

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  • Javascript: Select option based on its contents

    - by Zac Altman
    Basically this, but in pure javascript: http://stackoverflow.com/questions/2346257/how-to-get-value-of-select-tag-based-on-content-of-select-tag-using-nokogiri So I have a select list with a lot of countries/states, and I want to be able to select one based on what is between the tags. Argentina (I know i could use the value, but each one is a random mesh of numbers, so i would have to collect each individual one - not economical...)

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  • NUmber of rows in Oracle SQL Select?

    - by twelshesgi
    I need to nkw how many records were returned in a select in oracle. Currently, I do two queries: SELECT COUNT(ITEM_ID) FROM MY_ITEMS; SELECT * FROM MY_ITEMS; I need to know the COUNT but I hate doing two queries. Is there a way to do: SELECT * FROM MY_ITEMS and then find out how many records are in there?

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