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  • SharePoint 2010 Center and Fixed Width of all content on page including the ribbon

    - by Bill Daugherty
    All, I am trying to make the width of the sharepoint 2010 web site to be within a fixed width and centered across the screen. I would like for it to be 800px and centered. When i do this, it seems like it starts to work until the ribbion bar renters. Here is my attempt so far: body.v4/* _lcid="1033" _version="14.0.4536" _LocalBinding */ body,form{ margin:0px; width:800px; text-align:center; vertical-align:middle; } .ms-toolbar{ font-family:verdana; font-size:8pt; text-decoration:none; /* [ReplaceColor(themeColor:"Hyperlink")] */ color:#0072BC; } a.ms-toolbar:hover{ text-decoration:underline; /* [ReplaceColor(themeColor:"Accent1",themeShade:"0.8")] */ color:#005e9a; } .ms-toolbar-togglebutton-on{ /* [ReplaceColor(themeColor:"Accent3-Darker")] */ border:1px solid #2353b2; /* [ReplaceColor(themeColor:"Accent4-Lightest")] */ background-color:#fffacc; } table.ms-toolbar{ height:45px; border:none; /* [RecolorImage(themeColor:"Light2",includeRectangle:{x:0,y:610,width:1,height:42})] */ background:url("/_layouts/images/bgximg.png") repeat-x -0px -610px; /* [ReplaceColor(themeColor:"Light1")] */ background-color:#fff; } table.ms-toolbar{ /* [ReplaceColor(themeColor:"Light2-Lightest")] */ border:1px solid #f1f1f2; } .ms-menutoolbar{ /* [ReplaceColor(themeColor:"Light2-Lightest")] */ border-bottom:1px solid #f1f1f2; /* [ReplaceColor(themeColor:"Light1")] */ background-color:#fff; /* [RecolorImage(themeColor:"Light2",includeRectangle:{x:0,y:610,width:1,height:42})] */ background:url("/_layouts/images/bgximg.png") repeat-x -0px -610px; height:45px; } .ms-menutoolbar td{ padding:0px 0px 0px 4px; margin:0px; border:none; } .ms-menutoolbar td a{ /* [ReplaceColor(themeColor:"Hyperlink")] */ color:#0072bc; font-size:8pt; font-family:verdana; text-decoration:none; } .ms-menutoolbar td a:hover{ /* [ReplaceColor(themeColor:"Hyperlink",themeShade:"0.82")] */ color:#005e9a; text-decoration:none; } .ms-menubuttoninactivehover,.ms-buttoninactivehover{ margin:3px; padding:3px 4px 4px 4px; border:1px solid transparent; background-color:transparent; white-space:nowrap; } .ms-menubuttonactivehover,.ms-buttonactivehover{ margin:3px; padding:3px 4px 4px 4px; /* [RecolorImage(themeColor:"Light1-Darkest",includeRectangle:{x:0,y:431,width:1,height:21})] */ background:url("/_layouts/images/bgximg.png") repeat-x -0px -431px; /* [ReplaceColor(themeColor:"Light1")] */ background-color:#fff; /* [ReplaceColor(themeColor:"Light1-Lighter")] */ border:solid 1px #cccccc; cursor:pointer; } .ms-buttoninactivehover{ white-space:nowrap; } .ms-buttoninactivehover img,.ms-buttonactivehover img{ margin:0px 1px 0px 0px; } td.ms-menutoolbarheader{ font-size:10pt; font-family:verdana; /* [ReplaceColor(themeColor:"Accent3-Medium")] */ color:#204d89; font-weight:bold; line-height:16px; padding-left:7px; padding-right:7px; } .ms-listheaderlabel{ /* [ReplaceColor(themeColor:"Dark2")] */ color:#204d89; } .ms-listheaderlabel,.ms-viewselector,.ms-viewselectortext,.ms-viewselectorhover{ font-size:8pt; font-family:tahoma; } .ms-menutoolbar td td.ms-viewselector,.ms-menutoolbar td td.ms-viewselectorhover,.ms-toolbar td td.ms-viewselector,.ms-toolbar td td.ms-viewselectorhover,td.ms-viewselector{ /* [ReplaceColor(themeColor:"Light1")] */ background-color:#ffffff; /* [ReplaceColor(themeColor:"Dark2-Medium")] */ border:1px solid #D3D6DA; font-weight:bold; padding:0px; } .ms-menutoolbar td td{ border:none; } div.ms-viewselector,div.ms-viewselectorhover{ padding:2px 4px 2px 4px; cursor:pointer; } div.ms-viewselector a,div.ms-viewselectorhover a.ms-menu-a span{ /* [ReplaceColor(themeColor:"Dark1")] */ color:#000000; } .ms-viewselector-arrow{ vertical-align:middle; } .ms-menutoolbar td td.ms-viewselectorhover,.ms-toolbar td td.ms-viewselectorhover{ /* [RecolorImage(themeColor:"Accent1",method:"Tinting",includeRectangle:{x:0,y:654,width:1,height:18})] */ background:url("/_layouts/images/bgximg.png") repeat-x -0px -654px; /* [ReplaceColor(themeColor:"Accent1-Lighter")] */ border-color:#91cdf2; /* [ReplaceColor(themeColor:"Accent1",themeTint:"0.35")] */ background-color:#ccebff; } .ms-bottompaging{ /* [ReplaceColor(themeColor:"Accent3-Lightest")] */ background:#ebf3ff; } .ms-bottompagingline1{ height:3px; /* [ReplaceColor(themeColor:"Light1")] */ background-color:#ffffff; } .ms-bottompagingline2,.ms-bottompagingline3{ height:1px; /* [ReplaceColor(themeColor:"Light1")] */ background-color:#ffffff; } .ms-bottompaging .ms-vb{ /* [ReplaceColor(themeColor:"Light1")] */ background-color:#ffffff; } .ms-bottompagingline2 img,.ms-bottompagingline3 img,.ms-partline img{ display:none; } .ms-paging{ padding-left:11px; padding-right:11px; padding-bottom:4px; font-family:tahoma,sans-serif; font-size:8pt; font-weight:normal; /* [ReplaceColor(themeColor:"Accent3-Darker")] */ color:#204d89; } .ms-bottompaging .ms-paging{ /* [ReplaceColor(themeColor:"Dark1-Medium")] */ color:#4c4c4c; } .ms-menutoolbar .ms-splitbuttondropdown{ padding:3px 2px 0px 2px; } .ms-menutoolbar .ms-splitbuttontext{ padding:0px 7px 1px 7px; } .ms-splitbutton{ margin:0px 2px; } .ms-splitbuttonhover{ margin:0px 2px; /* [RecolorImage(themeColor:"Accent6-Darker",method:"Tinting",includeRectangle:{x:0,y:431,width:1,height:21})] */ background:url("/_layouts/images/bgximg.png") repeat-x -0px -431px; border-collapse:collapse; height:22px; background-color:#fff; } .ms-splitbuttonhover .ms-splitbuttondropdown{ padding:3px 1px 0px 2px; } .ms-splitbuttonhover .ms-splitbuttontext{ padding:0px 6px 0px 6px; } .ms-splitbuttonhover .ms-splitbuttondropdown,.ms-splitbuttonhover .ms-splitbuttontext{ border:solid 1px #cccccc; cursor:pointer; } .ms-propertysheet { font-size:1em; } .ms-propertysheet th.ms-gridT1 { text-align:left; /* [ReplaceColor(themeColor:"Dark1")] */ color:#000000; width:190px; } .ms-viewselect a:link{ font-size:8pt; font-family:Verdana,sans-serif; /* [ReplaceColor(themeColor:"Accent3")] */ color:#003399; } select{ font-size:8pt; font-family:Verdana,sans-serif; } hr{ /* [ReplaceColor(themeColor:"Accent3")] */ color:#003399; height:2px; } .ms-input{ font-size:8pt; font-family:Verdana,sans-serif; } .ms-treeviewouter{ margin-top:5px; } .ms-quicklaunch table td{ /* [ReplaceColor(themeColor:"Accent3-Lighter")] */ border-top:1px solid #add1ff; } .ms-quicklaunch .ms-treeviewouter table td{ border-top:none; } .ms-quicklaunch table.ms-navheader td,.ms-quicklaunch span.ms-navheader{ padding:1px 4px 4px 4px; } div.ms-treeviewouter > div > div{ border:none; } .ms-quicklaunch span.ms-navheader{ /* [ReplaceColor(themeColor:"Accent3-Lightest")] */ background-color:#d6e8ff; /* [ReplaceColor(themeColor:"Accent3-Lighter")] */ border-top:1px solid #add1ff; /* [ReplaceColor(themeColor:"Accent3-Lightest")] */ border-left:solid 1px #f2f8ff; /* [ReplaceColor(themeColor:"Accent3-Lighter")] */ border-bottom:1px solid #add1ff; padding:1px 6px 3px 6px; } .ms-quicklaunch table.ms-navsubmenu2 td{ border:none; } .ms-quicklaunch table.ms-selectednavheader td{ width:100%; /* [ReplaceColor(themeColor:"Accent6-Lightest")] */ background-color:#fff699; } .ms-quicklaunch table.ms-selectednavheader{ border:none; } .ms-quicklaunch span{ display:block; } .ms-quicklaunch div.ms-navsubmenu1 br{ display:none; } .ms-quicklaunch table.ms-selectednav{ /* [ReplaceColor(themeColor:"Accent6-Darker")] */ border:solid 1px #d2b47a; /* [RecolorImage(themeColor:"Accent1",method:"Tinting")] */ background-image:url("/_layouts/images/selectednav.gif"); background-repeat:repeat-x; /* [ReplaceColor(themeColor:"Accent6-Lightest")] */ background-color:#ffe6a0; margin:2px; margin-bottom:0; width:97%; } .ms-quicklaunch table.ms-selectednav td{ background:transparent url("/_layouts/images/selectednavbullet.gif"); background-repeat:no-repeat; background-position:left top; /* [ReplaceColor(themeColor:"Light1")] */ border:solid 1px #ffffff; padding:0px 4px 1px 12px; margin:0px; } table.ms-selectednav td a.ms-selectednav{ background:none; /* [ReplaceColor(themeColor:"Dark1")] */ color:#000000; } .ms-quicklaunch table.ms-selectednavheader td{ width:100%; /* [ReplaceColor(themeColor:"Accent6-Lighter")] */ background-color:#ffe6a0; /* [RecolorImage(themeColor:"Accent1",method:"Tinting")] */ background-image:url("/_layouts/images/selectednav.gif"); background-repeat:repeat-x; padding-top:2px; padding-bottom:2px; /* [ReplaceColor(themeColor:"Light1")] */ border-top:solid 1px #ffffff; /* [ReplaceColor(themeColor:"Light1")] */ border-left:solid 1px #ffffff; padding:1px 6px 3px 6px; } .ms-selectednavheader a{ font-weight:bold; /* [ReplaceColor(themeColor:"Dark1")] */ color:#000000; text-decoration:none; } .ms-selectednavheader a:hover{ /* [ReplaceColor(themeColor:"Dark1")] */ color:#000000; text-decoration:underline; } table.ms-navitem td,span.ms-navitem{ background-image:url("/_layouts/images/navBullet.gif"); background-repeat:no-repeat; background-position:left top; padding:3px 6px 4px 16px; font-family:tahoma; } .ms-navsubmenu1{ width:100%; border-collapse:collapse; /* [ReplaceColor(themeColor:"Light1-Lightest")] */ background-color:#f2f8ff; } .ms-navsubmenu2{ width:100%; /* [ReplaceColor(themeColor:"Light1-Lightest")] */ background-color:#f2f8ff; margin-bottom:6px; } table.ms-navselected{ padding:2px; } table.ms-navselected,span.ms-navselected{ /* [RecolorImage(themeColor:"Accent6",method:"Tinting")] */ background-image:url("/_layouts/images/SELECTEDNAV.GIF"); /* [ReplaceColor(themeColor:"Accent6-Lighter")] */ background-color:#ffe6a0; background-repeat:repeat-x; } table.ms-navselected td{ background-image:url("/_layouts/images/navBullet.gif"); background-repeat:no-repeat; background-position:top left; padding:3px 6px 4px 17px; } table.ms-navheader td{ background-image:none; } .ms-navheader a{ font-weight:bold; /* [ReplaceColor(themeColor:"Accent3")] */ color:#003399; text-decoration:none; } .ms-navheader a:hover{ /* [ReplaceColor(themeColor:"Dark1")] */ color:#000000; text-decoration:underline; } .ms-navitem a{ /* [ReplaceColor(themeColor:"Dark2")] */ color:#3b4f65 !important; text-decoration:none; display:inline-block; } .ms-navitem a:hover{ /* [ReplaceColor(themeColor:"Accent1")] */ color:#44aff6 !important; text-decoration:underline !important; } .ms-quicklaunchouter{ border:none; margin-bottom:5px; } .ms-quicklaunchouter{ margin:0px 1px 2px 1px; } .ms-treeviewouter a.ms-navitem{ padding:4px 4px 5px; margin-left:4px; border-color:transparent; border-width:1px; border-style:solid !important; } .ms-tvselected a.ms-navitem{ /* [RecolorImage(themeColor:"Light1")] */ background:url("/_layouts/images/selbg.png") repeat-x left top; /* [ReplaceColor(themeColor:"Accent1",themeTint:"0.15")] */ background-color:#ccebff; /* [ReplaceColor(themeColor:"Accent1-Lighter")] */ border-color:#91cdf2; /* [ReplaceColor(themeColor:"Accent1-Lightest")] */ border-top-color:#c6e5f8; border-width:1px; border-style:solid !important; /* [ReplaceColor(themeColor:"Dark2")] */ color:#003759 !important; display:inline-block; } .ms-tvselected a:hover{ /* [ReplaceColor(themeColor:"Dark2")] */ color:#003759 !important; } table.ms-recyclebin td{ /* [ReplaceColor(themeColor:"Light1-Lightest")] */ background-color:#f2f8ff; width:100%; /* [ReplaceColor(themeColor:"Light1")] */ border-top:solid 1px #ffffff; /* [ReplaceColor(themeColor:"Light1")] */ border-left:solid 1px #ffffff; padding:3px 5px 7px 3px; } table.ms-recyclebin td a{ font-weight:bold; /* [ReplaceColor(themeColor:"Accent5-Darker")] */ color:#008800; text-decoration:none; } table.ms-recyclebin td a:hover{ /* [ReplaceColor(themeColor:"Dark1")] */ color:#000000; text-decoration:underline; } .ms-quickLaunch{ padding-top:5px; } .ms-quickLaunch h3{ font-size:1em; font-weight:normal; /* [ReplaceColor(themeColor:"Dark2")] */ color:#929fad; margin:0px 0px 6px 10px; } .ms-quicklaunchheader{ padding:2px 6px 4px 10px; font-weight:bold; /* [ReplaceColor(themeColor:"Light1-Lighter")] */ color:#676767; background-image:url("/_layouts/images/quickLaunchHeader.gif"); background-repeat:repeat-x; /* [ReplaceColor(themeColor:"Accent3-Lightest")] */ background-color:#d6e8ff; /* [ReplaceColor(themeColor:"Light1-Lightest")] */ border-left:solid 1px #f2f8ff; margin-left:-7px; font-size:inherit; } .ms-quicklaunchheader a,.ms-unselectednav a{ /* [ReplaceColor(themeColor:"Dark1-Lighter")] */ color:#676767 !important; text-decoration:none; } .ms-quicklaunchheader a:hover{ /* [ReplaceColor(themeColor:"Dark1")] */ color:#000000 !important; text-decoration:underline; } .ms-navline{ /* [ReplaceColor(themeColor:"Light1-Darker")] */ border-bottom:1px solid #adadad; } .ms-navwatermark{ /* [ReplaceColor(themeColor:"Accent6-Lighter")] */ color:#ffdf88; } .ms-selectednav{ border:1px solid #2353b2; /* [ReplaceColor(themeColor:"Accent6-Lightest")] */ background:#fff699; padding-top:1px; padding-bottom:2px; } .ms-unselectednav{ /* [ReplaceColor(themeColor:"Accent3-Medium")] */ border:1px solid #83b0ec; padding-top:1px; padding-bottom:2px; } .ms-verticaldots{ /* [ReplaceColor(themeColor:"Accent3-Medium")] */ border-right:1px solid #83b0ec; border-left:none; } .ms-nav{ /* [ReplaceColor(themeColor:"Accent3-Medium")] */ background-color:#83b0ec; font-family:tahoma; } .ms-globalTitleArea{ text-align:right; background-image:url("/_layouts/images/siteTitleBKGD.gif"); background-position:right top; background-repeat:repeat-y; padding-left:5px; padding-right:0px; padding-top:1px; } .ms-titlearea{ /* [ReplaceColor(themeColor:"Dark1-Lighter")] */ color:#666666; font-family:tahoma; font-size:8pt; letter-spacing:.1em; } .ms-titlearea a { /* [ReplaceColor(themeColor:"Accent3-Darker")] */ color:#3966bf; text-decoration:none; } .ms-titlearea a:hover { /* [ReplaceColor(themeColor:"Dark1")] */ color:#000000; text-decoration:underline; } .ms-titlearealeft { /* [ReplaceColor(themeColor:"Accent3-Lightest")] */ background-color:#d6e8ff; } TD.ms-titleareaframe,Div.ms-titleareaframe,.ms-pagetitleareaframe{ background:url("/_layouts/images/bgximg.png") repeat-x -0px -461px; /* [ReplaceColor(themeColor:"Accent3-Lightest")] */ background-color:#d6e8ff; text-align:left; } div.ms-titleareaframe{ height:100%; } .ms-pagetitleareaframe table{ background-image:url("/_layouts/images/topshape.jpg"); background-repeat:no-repeat; background-position:332px 4px; height:54px; } .ms-titlearealine{ /* [ReplaceColor(themeColor:"Accent3-Medium")] */ background-color:#83b0ec; } .ms-titleareaframe table td.ms-titlearea,.ms-areaseparator table td.ms-titlearea,.ms-pagetitleareaframe table td.ms-titlearea{ padding:7px 0px 1px 0px; } .ms-sitemapdirectional,.ms-sitemapdirectional a{ unicode-bidi:embed; } .ms-areaseparatorcorner{ background-image:url("/_layouts/images/framecornergrad.gif"); background-position:left top; background-repeat:repeat-y; height:8px; /* [ReplaceColor(themeColor:"Accent5-Medium")] */ border-right:1px solid #6f9dd9; } td.ms-areaseparatorleft{ background:#d6e8ff url("/_layouts/images/bgximg.png") repeat-x -0px -461px; /* [ReplaceColor(themeColor:"Accent5-Medium")] */ border-right:1px solid #6f9dd9; height:100%; } div.ms-areaseparatorleft{ background-repeat:no-repeat; background-position:-143px 0px; /* [ReplaceColor(themeColor:"Accent5-Medium")] */ border-right:1px solid #6f9dd9; height:100%; } div.ms-areaseparatorright{ /* [ReplaceColor(themeColor:"Accent5-Medium")] */ border-left:1px solid #6f9dd9; padding-right:2px; height:100%; } .ms-titlearearight .ms-areaseparatorright{ background:#d6e8ff url("/_layouts/images/bgximg.png") repeat-x -0px -461px; /* [ReplaceColor(themeColor:"Accent5-Medium")] */ border-left:1px solid #6f9dd9; padding-right:2px; height:100%; } .ms-areaseparator{ /* [ReplaceColor(themeColor:"Accent4-Lightest")] */ background-color:#ffeaad; border-right:none; border-left:none; padding-left:5px; height:61px; } .ms-pagemargin{ background-color:#83b0ec; height:100%; } td.ms-rightareacell div.ms-pagemargin{ /* [ReplaceColor(themeColor:"Accent3-Medium")] */ background-color:#83b0ec; height:100%; /* [ReplaceColor(themeColor:"Accent3-Medium")] */ border-left:solid 1px #83b0ec; } .ms-bodyareacell{ vertical-align:top; } .ms-pagebottommargin,.ms-pagebottommarginleft,.ms-pagebottommarginright{ /* [ReplaceColor(themeColor:"Accent3-Medium")] */ background:#83b0ec; } .ms-bodyareapagemargin{ /* [ReplaceColor(themeColor:"Accent3-Medium")] */ background:#83b0ec; /* [ReplaceColor(themeColor:"Accent3-Lighter")] */ border-top:1px solid #6f9dd9; } .ms-bodyareaframe{ vertical-align:top; height:100%; /* [ReplaceColor(themeColor:"Light1")] */ background-color:#ffffff; /* [ReplaceColor(themeColor:"Accent3-Lighter")] */ border:1px solid #6f9dd9; } .ms-bodyareaframe{ padding:10px; } .ms-pagetitle{ /* [ReplaceColor(themeColor:"Dark1")] */ color:#000000; font-family:verdana; font-size:16pt; margin:0px 0px 4px 0px; font-weight:normal; } .ms-pagetitle a{ text-decoration:none; /* [ReplaceColor(themeColor:"Dark1")] */ color:#000000; margin:0; font-weight:normal; } .ms-pagetitle a:hover{ } .ms-vh table.ms-selectedtitle,.ms-vh2 table.ms-selectedtitle,.ms-vh-icon table.ms-selectedtitle,.ms-vh table.ms-unselectedtitle,.ms-vh2 table.ms-unselectedtitle,.ms-vh-icon table.ms-unselectedtitle{ height:21px; } .ms-vh table.ms-selectedtitle,.ms-vh2 table.ms-selectedtitle,.ms-vh-icon table.ms-selectedtitle{ /* [ReplaceColor(themeColor:"Light1-Lighter")] */ background-color:#dde1e5; border:none; } .ms-vh2 .ms-selectedtitle .ms-vb,.ms-vh2 .ms-unselectedtitle .ms-vb{ padding-left:5px; padding-right:5px; padding-top:1px; } .ms-vh-icon .ms-selectedtitle .ms-vb,.ms-vh-icon .ms-unselectedtitle .ms-vb{ padding-left:0px; vertical-align:middle; } .ms-propertysheet th.ms-vh2,.ms-propertysheet th.ms-vh2-nofilter{ font-family:tahoma; } .ms-listviewtable .ms-vh2,.ms-summarystandardbody .ms-vh2{ padding:1px 1px 0px 1px; } .ms-listviewtable .ms-vb2,.ms-summarystandardbody .ms-vb2{ padding-left:2px; padding-right:7px; } .ms-selectedtitle{ /* [ReplaceColor(themeColor:"Light1")] */ background-color:#ffffff; /* [ReplaceColor(themeColor:"Accent4-Darker")] */ border:1px solid #b09460; margin:0px; padding:0px; cursor:pointer; } .ms-selectedtitlealternative { /* [ReplaceColor(themeColor:"Light1")] */ background-color:#ffffff; /* [ReplaceColor(themeColor:"Accent4-Darker")] */ border:1px solid #b09460; margin:0px; padding:0px; cursor:pointer; } .ms-unselectedtitle{ background-color:transparent; margin:0px; padding:0px; } .ms-newgif{ display:inline-block; margin-left:5px; } .ms-menuimagecell{ /* [RecolorImage(themeColor:"Accent1",method:"Tinting")] */ background:url("/_layouts/images/selectednav.gif") repeat-x; /* [ReplaceColor(themeColor:"Accent6-Lighter")] */ background-color:#ffe6a0; cursor:pointer; /* [ReplaceColor(themeColor:"Light1")] */ border:solid 1px #ffffff; padding:0px; height:18px; } .ms-vh .ms-menuimagecell,.ms-vh2 .ms-menuimagecell,.ms-vh-icon .ms-menuimagecell{ height:20px; } .ms-vh .ms-menuimagecell img,.ms-vh2 .ms-menuimagecell img,.ms-vh-icon .ms-menuimagecell img{ margin-top:2px; margin-bottom:2px; } .ms-descriptiontext{ /* [ReplaceColor(themeColor:"Dark1-Medium")] */ color:#4c4c4c; font-family:tahoma; font-size:8pt; text-align:left; } .ms-statusdescriptiontext { color:#4c4c4c; background-color:#FFFF00; font-family:tahoma; font-size:8pt; text-align:left; } .ms-webpartpagedescription{ font-family:verdana; font-size:8pt; /* [ReplaceColor(themeColor:"Dark1-Lighter")] */ color:#5a5a5a; padding:8px 12px 0px 12px; } .ms-separator { /* [ReplaceColor(themeColor:"Light2",themeShade:"0.02")] */ color:#f1f1f2; background-repeat:repeat-x; border:none; padding-left:4px; font-size:10pt; } .ms-rtetoolbarmenu .ms-separator{ padding-left:0px !important; /* [ReplaceColor(themeColor:"Accent3-Medium")] */ color:#83b0ec; } .ms-separator img { height:12px; width:1px; margin:0px 1px 0px 1px; /* [ReplaceColor(themeColor:"Light2",themeShade:"0.02")] */ background:#f1f1f2; } .ms-propertysheet th.ms-authoringcontrols { /* [ReplaceColor(themeColor:"Accent3-Lightest")] */ background-color:#f1f1f2; text-align:left; } table.ms-authoringcontrols > tbody > tr > td{ vertical-align:middle; } td.ms-authoringcontrols > label,td.ms-authoringcontrols > span > label,td.ms-authoringcontrols > table > tbody > tr > td > label{ vertical-align:middle; } .ms-propertysheet th.ms-linksectionheader { /* [ReplaceColor(themeColor:"Dark1")] */ color:#000000; font-family:tahoma; font-size:8pt; font-weight:bold; text-align:left; } .ms-linksectionitemdescription{ padding-left:3px; padding-top:7px; } .ms-propertysheet .ms-sectionheader a,.ms-propertysheet .ms-sectionheader a:hover { /* [ReplaceColor(themeColor:"Dark1-Lighter")] */ color:#525252; text-decoration:none; } .ms-partline { height:3px; /* [ReplaceColor(themeColor:"Dark2",themeTint:"0.17")] */ border-bottom:1px solid #EBEBEB; } .ms-propertysheet{ font-family:verdana; font-size:1em; text-align:left; /* [ReplaceColor(themeColor:"Dark1-Medium")] */ color:#4c4c4c; } .ms-propertysheet th{ font-family:verdana; font-size:8pt; /* [ReplaceColor(themeColor:"Dark1-Medium")] */ color:#4c4c4c; font-weight:normal; } .ms-propertysheet a{ text-decoration:none; /* [ReplaceColor(themeColor:"Accent3-Darker")] */ color:#3966bf; } .ms-propertysheet a:hover{ text-decoration:underline; /* [ReplaceColor(themeColor:"Dark1")] */ color:#000000; } .ms-vh,.ms-vh2,.ms-vh-icon-empty,.ms-vhImage,.ms-vh2-nograd,.ms-vh3-nograd,.ms-vh2-nograd-icon,.ms-vh2-nofilter-icon,.ms-ph{ font-weight:normal; /* [ReplaceColor(themeColor:"Light1-Medium")] */ color:#b2b2b2; text-align:left; text-decoration:none; vertical-align:top; } .ms-vh-icon{ vertical-align:middle; } .ms-gb,.ms-gb2,.ms-gbload,.ms-vb-tall,.ms-vb-user,.ms-pb,.ms-pb-selected td{ /* [ReplaceColor(themeColor:"Dark1")] */ color:#000000; } .ms-gb a,.ms-gb2 a{ /* [ReplaceColor(themeColor:"Accent3")] */ color:#003399; } .ms-vh,.ms-vh2,.ms-vh-icon,.ms-vh-icon-empty,.ms-vhImage,.ms-gb,.ms-gb2,.ms-gbload,.ms-vb,.ms-vb2,.ms-vb-tall,.ms-vb-user,.ms-vh2-nograd,.ms-vh3-nograd,.ms-vh2-nograd-icon,.ms-vh2-nofilter-icon,.ms-pb,.ms-pb-selected,.ms-ph{ font-size:8pt; line-height:1.2; font-family:Verdana,Helvetica,sans-serif; } .ms-vh,.ms-vh2,.ms-vh2-nograd,.ms-vh3-nograd,.ms-vh2-nograd-icon,.ms-vh2-nofilter-icon,.ms-ph{ white-space:nowrap; } .ms-vh,.ms-vh2,.ms-vh-icon,.ms-vh2-nofilter-icon,.ms-viewheadertr .ms-vh-group,.ms-vh2-nograd,.ms-vh3-nograd,.ms-vh2-nograd-icon,.ms-ph,.ms-pickerresultheadertr{ background-repeat:repeat-x; padding-top:1px; padding-bottom:0px; } .ms-viewheadertr th{ padding-top:5px !important; } .ms-disc .ms-viewheadertr th.ms-vh2{ padding:1px 5px 0px 4px; } .ms-disc .ms-vh2 .ms-selectedtitle .ms-vb,.ms-disc .ms-vh2 .ms-unselectedtitle .ms-vb{ padding-left:4px; } th.ms-vh3-nograd{ width:12px; /* [ReplaceColor(themeColor:"Light1-Darker")] */ color:#949494; font-size:8pt; font-family:tahoma,sans-serif; } .ms-vh .ms-vh{ background-image:none; border-left:none; padding-left:1px; background-color:transparent; } .ms-vh2,.ms-ph{ padding:3px 8px 1px; } .ms-vh-div{ padding-top:5px; } .ms-vh-icon,.ms-vh2-nograd-icon,.ms-vh2-nofilter-icon{ width:12px; } .ms-vh-icon{ padding-left:6px; padding-right:4px; padding-bottom:3px; } .ms-vh-icon-empty{ width:0px; } .ms-vh a,.ms-vh a:visited,.ms-vh2 a{ /* [ReplaceColor(themeColor:"Dark1-Lightest")] */ color:#7f7f7f; text-decoration:none; } .ms-vh a:hover,.ms-vh2 a:hover{ text-decoration:underline; } .ms-imnImgTD { padding-right:2px; padding-bottom:5px; } .ms-vhltr .ms-imnImgTD { padding-right:2px; } .ms-vhrtl .ms-imnImgTD { padding-left:2px; } .ms-imnTxtTD { padding-top:0px; } .ms-vhImage{ width:18pt } .ms-standardheader{ font-size:1em; margin:0em; text-align:left; /* [ReplaceColor(themeColor:"Dark1")] */ color:#525252; } .ms-formlabel h3.ms-standardheader{ font-weight:normal; color:auto; } .ms-linksectionheader .ms-standardheader{ /* [ReplaceColor(themeColor:"Dark1")] */ color:#000000; } .ms-gb{ height:22px; /* [ReplaceColor(themeColor:"Light1")] */ background-color:#ffffff; font-weight:bold; /* [ReplaceColor(themeColor:"Accent3-Lighter")] */ border-bottom:1px solid #8ebbf5; /* [ReplaceColor(themeColor:"Light1-Lightest")] */ border-top:1px solid #f9f9f9; padding-bottom:3px; } .ms-gb .ms-vb2{ font-weight:normal; } .ms-listviewtable .ms-gb,.ms-listviewtable .ms-gb2{ padding-top:14px; } .ms-gb2{ height:22px; /* [ReplaceColor(themeColor:"Dark1-Medium")] */ color:#4c4c4c; padding-bottom:3px; /* [ReplaceColor(themeColor:"Accent3-Lightest")] */ border-bottom:1px solid #e3efff; /* [ReplaceColor(themeColor:"Light1-Lightest")] */ border-top:1px solid #f9f9f9; } .ms-gbload{ height:22px; /* [ReplaceColor(themeColor:"Dark1-Medium")] */ color:#4c4c4c; /* [ReplaceColor(themeColor:"Light1")] */ background-color:#ffffff; padding-bottom:3px; } .ms-vb,.ms-vb2,.ms-vb-user,.ms-vb-tall,.ms-pb,.ms-pb-selected { /* [ReplaceColor(themeColor:"Dark1")] */ color:#6d6f72; vertical-align:top; } .ms-vb a:link,.ms-vb2 a:link,.ms-vb-user a:link{ /* [ReplaceColor(themeColor:"Hyperlink")] */ color:#0072BC; text-decoration:none; } .ms-vb a:hover,.ms-vb2 a:hover,.ms-vb-user a:hover{ text-decoration:underline; } .ms-vb a:visited,.ms-vb2 a:visited,.ms-vb-user a:visited{ /* [ReplaceColor(themeColor:"Hyperlink")] */ color:#0072BC; text-decoration:none; } .ms-vb a:visited:hover,.ms-vb2 a:visited:hover,.ms-vb-user a:visited:hover{ /* [ReplaceColor(themeColor:"Hyperlink")] */ color:#0072BC; text-decoration:underline; } .ms-alternatingstrong .ms-vb a:link,.ms-alternatingstrong .ms-vb2 a:link,.ms-alternatingstrong .ms-vb-user a:link,.ms-alternatingstrong .ms-vb a:visited,.ms-alternatingstrong .ms-vb2 a:visited,.ms-alternatingstrong .ms-vb-user a:visited,.ms-alternatingstrong .ms-vb a:visited:hover,.ms-alternatingstrong .ms-vb2 a:visited:hover,.ms-alternatingstrong .ms-vb-user a:visited:hover{ /* [ReplaceColor(themeColor

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  • Replacing UISplitViewController. New version isn't added for current orientation, frame size

    - by Justin Williams
    My application has two different modes I am switching between by replacing the two views in a UISplitViewController. This involves instantiating the new views and a new UISplitViewController. I then set the new detail view as the UISplitViewController's delegate. I'm running into an issue where when I replace the view controllers and splitview controller, they are not properly sized or added for the current orientation. For instance, if I have my iPad in UIDeviceOrientationPortraitUpsideDown the view will be upside down when I call addSubview, but will rotate to the proper orientation after a second. In another instance, if I have the device in landscape mode and swap the views, the detail view controller is not fully stretched to the size of the view. If I rotate the device to portrait and back to landscape, its resized properly. The code I'm using to create the new split view and view controllers is as follows. - (void)showNotes { teiphoneAppDelegate *appDelegate = (teiphoneAppDelegate *)[[UIApplication sharedApplication] delegate]; [appDelegate.splitViewController.view removeFromSuperview]; OMSavedScrapsController *notesViewController = [[OMSavedScrapsController alloc] initWithNibName:@"SavedScraps" bundle:nil]; UINavigationController *navController = [[UINavigationController alloc] initWithRootViewController:notesViewController]; ComposeViewController *noteDetailViewController = [[ComposeViewController alloc] initWithNibName:@"ComposeView-iPad" bundle:nil]; UISplitViewController *newSplitVC = [[UISplitViewController alloc] init]; newSplitVC.viewControllers = [NSArray arrayWithObjects:navController, noteDetailViewController, nil]; newSplitVC.delegate = noteDetailViewController; appDelegate.splitViewController = newSplitVC; // Fade in the new split view appDelegate.splitViewController.view.alpha = 0.0f; [appDelegate.window addSubview:appDelegate.splitViewController.view]; [appDelegate.window makeKeyAndVisible]; [UIView beginAnimations:nil context:appDelegate.window]; [UIView setAnimationDuration: 0.5f]; [UIView setAnimationCurve: UIViewAnimationCurveEaseInOut]; appDelegate.splitViewController.view.alpha = 1.0f; [UIView commitAnimations]; [notesViewController release]; [navController release]; [noteDetailViewController release]; [newSplitVC release]; } Any suggestions for how to get the new splitview to add for the device's current orientation and frame?

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  • Motion - can't get streaming working from a webcam

    - by Emmanuel Brunet
    I'm trying to record a video stream from my Tenvis IP camera with motion 3.2.12 on Debian 7.5. I used the standard debian package with sudo apt-get install motion Assume my DNS IP cam is webcam, user : admin, password : password /etc/motion/motion.conf Bellow are my configuration file settings : netcam_url http://webcam/videostream.cgi netcam_userpass admin:password target_dir /media/videos/log/motion # The mini-http server listens to this port for requests (default: 0 = disabled) webcam_port 1234 ffmpeg_cap_new on ffmpeg_video_codec mpeg4 output_motion off snapshot_interval 0 # Quality of the jpeg (in percent) images produced (default: 50) webcam_quality 50 # Output frames at 1 fps when no motion is detected and increase to the # rate given by webcam_maxrate when motion is detected (default: off) webcam_motion on # Maximum framerate for webcam streams (default: 1) webcam_maxrate 15 # Restrict webcam connections to localhost only (default: on) webcam_localhost on # Limits the number of images per connection (default: 0 = unlimited) # Number can be defined by multiplying actual webcam rate by desired number of seconds # Actual webcam rate is the smallest of the numbers framerate and webcam_maxrate webcam_limit 0 control_port 8080 control_authentication admin:password Issue #1 when I try display http:/localhost:1234 the browser looks frozen, no HTTP 404 received but it stills waiting for data it seems .. Issue #2 in the output directory motion writes a lot of jpeg snapshots althought I just want to have several video sequenced files. Log I run motion in interactive mode in a terminal, here is the ouput root@mercure:/etc/motion# motion -c motion-1.0.conf [0] Processing thread 0 - config file motion-1.0.conf [0] Motion 3.2.12 Started [0] ffmpeg LIBAVCODEC_BUILD 3482368 LIBAVFORMAT_BUILD 3478785 [0] Thread 1 is from motion-1.0.conf [0] motion-httpd/3.2.12 running, accepting connections [0] motion-httpd: waiting for data on port TCP 8080 [1] Thread 1 started [1] Resizing pre_capture buffer to 1 items [1] Started stream webcam server in port 1234 [1] avcodec_open - could not open codec: Operation now in progress [1] ffopen_open error creating (new) file [~/tmp/motion/01-20140603165303.avi]: Operation now in progress [1] File of type 1 saved to: ~/tmp/motion/01-20140603165303-01.jpg [1] Thread exiting [1] Calling vid_close() from motion_cleanup [1] vid_close: calling netcam_cleanup [1] netcam camera handler: finish set, exiting [0] Motion thread 1 restart [1] Thread 1 started [1] Resizing pre_capture buffer to 1 items [1] Started stream webcam server in port 1234 [1] avcodec_open - could not open codec: Resource temporarily unavailable [1] ffopen_open error creating (new) file [~/tmp/motion/01-20140603165329.avi]: Resource temporarily unavailable [1] File of type 1 saved to: ~/tmp/motion/01-20140603165329-00.jpg [1] Thread exiting [1] Calling vid_close() from motion_cleanup [1] vid_close: calling netcam_cleanup [1] netcam camera handler: finish set, exiting [0] Motion thread 1 restart [1] Thread 1 started [1] Resizing pre_capture buffer to 1 items [1] Started stream webcam server in port 1234 [1] avcodec_open - could not open codec: Connection reset by peer [1] ffopen_open error creating (new) file [~/tmp/motion/01-20140603165355.avi]: Connection reset by peer [1] File of type 1 saved to: ~/tmp/motion/01-20140603165355-06.jpg [1] Thread exiting [1] Calling vid_close() from motion_cleanup [1] vid_close: calling netcam_cleanup [0] httpd - Finishing [0] httpd Closing [0] httpd thread exit [1] netcam camera handler: finish set, exiting [0] Motion thread 1 restart [1] Thread 1 started [1] Resizing pre_capture buffer to 1 items [1] Started stream webcam server in port 1234 It doesn't find the codec ... avcodec_open - could not open codec: Operation now in progress I've changed fmpeg_video_codec from mpeg4 to swf the result is the same. When using flv format motion writes a lot of .jpg image but I can't see anything at http://localhost:1234 [1] File of type 1 saved to: ~/tmp/motion/01-20140603171035-00.jpg [1] File of type 1 saved to: ~/tmp/motion/01-20140603171035-01.jpg [1] File of type 1 saved to: ~/tmp/motion/01-20140603171035-02.jpg [1] File of type 1 saved to: ~/tmp/motion/01-20140603171035-03.jpg [1] File of type 1 saved to: ~/tmp/motion/01-20140603171035-04.jpg [1] File of type 1 saved to: ~/tmp/motion/01-20140603171035-05.jpg [1] File of type 1 saved to: ~/tmp/motion/01-20140603171035-06.jpg [1] File of type 1 saved to: ~/tmp/motion/01-20140603171036-00.jpg [1] File of type 1 saved to: ~/tmp/motion/01-20140603171036-01.jpg [1] File of type 1 saved to: ~/tmp/motion/01-20140603171036-02.jpg Any idea just to get the video stream recoded on my local disk ?

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  • GUI to include a .prop file in a VS 2010 project?

    - by jwfearn
    Visual Studio 2010 has no longer uses .vsprops files and instead uses .props files. To include a .vsprops file in a Visual Studio 2008 project, one could right-click the project icon in the Solution Explorer panel, choose Properties, go to the Configuration Properties | General section, and modify the Inherited Project Property Sheets property to contain a list of .vsprops paths. One could also modify the Visual Studio 2008 project file directly. Is there a way in the Visual Studio 2010 GUI to include .props files to a project? The Inherited Project Property Sheets property seems to have been removed. If manual editing of the project file is the only way to include .props files, where can one find documentation on doing it? I'm not talking about adding a .props file to the list of files in the project, I mean how do I tell the project to use a .props file.

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  • How do you prevent file confusion if version-control keywords are forbidden?

    - by Thomas L Holaday
    At least two brilliant programmers, Linus Torvalds and Guido von Rossum, disparage the practice of putting keywords into a file that expand to show the version number, last author, etc. I know how keyword differences clutter up diffs. One of the reasons I like SlickEdit's DiffZilla is because it can be set to skip leading comments. However, I have vivid memories of team-programming where we had four versions of a file (two different releases, a customer one-off, and the development version) all open for patching at the same time, and was quite helpful to verify with a glance that each time we navigated to an included header we got the proper one, and each time we pasted code the source and destination were what we expected. There is also the where-did-this-file-come-from problem that arises when a hasty developer copies a file from one place to another using the file system, rather than checking it out of the repository using the tool; or, more defensibly, when files under control in locations A, B, and C need to be marshalled (with cherry-picking) into a distribution location D. In places where VCS keywords are banned, how do you cope?

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  • GUI to include a .prop` file to a VS 2010 project?

    - by jwfearn
    Visual Studio 2010 has no longer uses .vsprops files and instead uses .props files. To include a .vsprops file in a Visual Studio 2008 project, one could right-click the project icon in the Solution Explorer panel, choose Properties, go to the Configuration Properties | General section, and modify the Inherited Project Property Sheets property to contain a list of .vsprops paths. One could also modify the Visual Studio 2008 project file directly. Is there a way in the Visual Studio 2010 GUI to include .props files to a project? The Inherited Project Property Sheets property seems to have been removed. If manual editing of the project file is the only way to include .props files, where can one find documentation on doing it? I'm not talking about adding a .props file to the list of files in the project, I mean how do I tell the project to use a .props file.

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  • how do i load a csv file in rails from a migrate usiing load data local infile ?

    - by Chris Drappier
    Hi All, I have my csv file in my public folder, and i'm trying to load it from a migration, but I get a file not found error using this script : ActiveRecord::Base.connection.execute( "load data local infile '#{RAILS_ROOT}/public/muds_variables.csv' into table muds_variables " + "fields terminated by ',' " + "lines terminated by '\n' " + "(variable_name, definition)") I've checked and re-checked the file path, and that's definitely where it lives, I've also tried it just using the file name without any of the path, and a few other combos, but I can't make it work :(. can anyone help me out with this? here's the error : Mysql::Error: File '/home/chris/rails_projects/muds/public/muds_variables.csv' not found (Errcode: 2): load data local infile '/home/chris/rails_projects/muds/public/muds_variables.csv' into table muds_variables fields terminated by ',' lines terminated by ' ' (variable_name, definition) -C

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  • How can a Firefox extension inject a local css file into a webpage?

    - by Evgeny Shadchnev
    I'm writing a Firefox extension that needs to inject a css file into webpages. The css file is bundled with the extension, so I can access it using a chrome url chrome://extensionid/content/skin/style.css I'm trying to inject css like this when the page is loaded: var fileref = document.createElement("link"); fileref.setAttribute("rel", "stylesheet"); fileref.setAttribute("type", "text/css"); fileref.setAttribute("href", "chrome://extensionid/content/skin/style.css"); document.getElementsByTagName("head")[0].appendChild(fileref); However, the css isn't loaded and Firebug shows 'Filtered chrome url' message instead of the file content, when I inspect the link element I created. If I try to load this css file from an external server, everything's fine. Is there are way to load a css file bundled with the extension?

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  • String Field Sizes for unicode database fields using different data access components

    - by Serg
    mjustin in his question 1 and question 2 says that TWideStringField.Size property for UTF8 fields in Delphi 2009 dbExpress is 4 times larger than the logical field size (max number of characters in the field). I inclined to consider this a dbExpress bug. That is what Delphi 2009 Help says: The interpretation of Size depends on the data type. The meaning of Size for data types that use it is given in the following table. For all other data types, Size is not used and its value is always 0. ftString - Size is the maximum number of characters in the string. I am using FibPlus 6.9.9 and it follows the above documentation - the string field size is the maximum number of characters, not bytes. So the question also implies the following question: Are DbExpress drivers in Delphi 2009 unusable for unicode databases?

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  • How to retrieve a binary file from .NET assembly?

    - by Rahul Soni
    I have an excel file that I want to embed in my C# assembly. I have changed the build action of the XLSX file to "Embedded Resource". During runtime, I have to retrieve this XLSX file from the assembly. Assembly assembly = Assembly.GetExecutingAssembly(); StreamReader sr = new StreamReader(assembly.GetManifestResourceStream("AssemblyName.Output.xlsx"), true); StreamWriter sw = new StreamWriter(strPath); sw.Write(sr.ReadToEnd()); sr.Dispose(); sw.Dispose(); System.Diagnostics.Process.Start(strPath); As expected, this fails for the XLSX file since it is a binary data. This could works well with a text file. I tried binary read/write, but I am not able to get the code running. Thoughts?

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  • Can I embed an icon to a .hta file?

    - by BoltBait
    I have written an HTML Application (hta file) and am wondering if there is a way to embed an icon file into the hta file itself. I have seen html emails that include embedded graphic files, is there any way to do this with html applications and icons? HTA files have an HTA:APPLICATION tag that allows you to specify an icon, but I want to have only a single file for download. I don't want to have an external icon file. Is this possible? More info on hta files here: HTA files.

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  • Cannot run an executable binary file on another Linux System??

    - by Claire Huang
    I'm using Ubuntu 10.04 and Qt4.6, and I've created an executable binary file on my own computer through QtCreator. Now I want to put my executable file on CentOS 5, but it seems that this executable file cannot run on CentOS. Do I need to set some compile parameters to make it runnable on Linux other than Ubuntu?? Or do I need to put some lib files with the executable binary file? (For windows, the .exe file should put together with some .dll files to provide the correct dynamic lib linkage, is there some similar problem on linux?) Thanks for your help!

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  • Can I pass an argument to a VBScript (vbs file launched with cscript)?

    - by Peter
    I have this script saved in "test.vbs": Set FSO = CreateObject("Scripting.FileSystemObject") Set File = FSO.OpenTextFile(workFolder &"\test.txt", 2, True) File.Write "testing" File.Close Set File = Nothing Set FSO = Nothing Set workFolder = Nothing When I run the script I want to pass the value of the "workFolder" variable. How can I do this? Can I do it? Something like "cscript test.vbs workFolder:'C:\temp\'" perhaps? Bonus question: Is it neccessary to clean up the passed variable with "Set workFolder = Nothing" or does VBSCript do that automatically when it terminates? Maybe "Set File = Nothing" and "Set FSO = Nothing" is unneccessary also? Please let me know if you know the answer to both these questions.

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  • how to read specific number of floats from file in python?

    - by sahel
    I am reading a text file from the web. The file starts with some header lines containing the number of data points, followed the actual vertices (3 coordinates each). The file looks like: # comment HEADER TEXT POINTS 6 float 1.1 2.2 3.3 4.4 5.5 6.6 7.7 8.8 9.9 1.1 2.2 3.3 4.4 5.5 6.6 7.7 8.8 9.9 POLYGONS the line starting with the word POINTS contains the number of vertices (in this case we have 3 vertices per line, but that could change) This is how I am reading it right now: ur=urlopen("http://.../file.dat") j=0 contents = [] while 1: line = ur.readline() if not line: break else: line=line.lower() if 'points' in line : myline=line.strip() word=myline.split() node_number=int(word[1]) node_type=word[2] while 'polygons' not in line : line = ur.readline() line=line.lower() myline=line.split() i=0 while(i<len(myline)): contents[j]=float(myline[i]) i=i+1 j=j+1 How can I read a specified number of floats instead of reading line by line as strings and converting to floating numbers? Instead of ur.readline() I want to read the specified number of elements in the file Any suggestion is welcome..

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  • Scraped HTML is not written at the beginning of text file.

    - by karikari
    Currently, I'm scraping the HTML code of a page, and writing it to a text file. My problem is, why must there be empty spaces or empty lines at the beginning? The HTML codes written to the txt file do not seem to start at the beginning of the text file. This means that the '<' is not located at the position 0 of the txt file. After a few runs, my HTML is always written a few lines down inside the text file. Can anyone tell me why?

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  • How do I get the name of the newest file via the Terminal?

    - by Alec
    I'm trying to create a macro for Keyboard Maestro for OS X doing the following: Get name of newest file in a directory on my disk based on date created; Paste the text "newest file: " plus the name of the newest file. One of its options is to "Execute a shell script", so I thought that would do it for 1. After Googling around a bit I came up with this: cd /path/to/directory/ ls -t | head -n1 This sorts it right, and returns the first filename. However, it also seems to includes a line break, which I do not want. As for 2: I can output the text "newest file: " with a different action in the app, and paste the filename behind that. But I'm wondering if you can't return "random text" + the outcome of the ls command. So my question is: can I do this only using the ls command? And how do I get just the name of the latest file without any linebreaks or returns?

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  • Saving Types generated via Reflection.Emit as code file (.cs) instead of saving it in .dll files

    - by Manish Sinha
    Before start let me tell my experience: I am experienced with C#.NET, web services, XML part and few more. Reflection is something new to me, though I have read extensively on it and tried out some experimental code, but haven't made anything great using reflection I checked out many examples of how we can create Type at runtime and then which can be saved in an assembly (.dll) files. Of all the examples I have seen is about saving the created types in the .dll files instead of code file. Isn't there any way to create the code file out of reflection? I need to create code file since I want to distribute code instead of compiled assemblies. What I want to do is something like xsd.exe does, either spit out a .dll or the code file(in any language). Isn't there any way to create a code file, since most of the place I can find is AssemblyBuilder ab = System.AppDomain.CurrentDomain.DefineDynamicAssembly(an, AssemblyBuilderAccess.Save); and then lastly ab.Save("QuoteOfTheDay.dll");

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  • Code changes in the Dtsx file in an SSIS package not reflecting after deploying and running on the server

    - by SKumar
    I have some folder called Test-Deploy in which I keep all the dtsx files, manifest and configuration files. Whenever I want to deploy the ssis package, I run manifest file in this folder and deploy. My problem is I have to change one of the dtsx files out of it. So, I opened only that particular dtsx file BI studio, updated and built. After the build, I copied the dtsx file from bin folder and copied to my Test-Deploy folder. When I deployed and run this new package in the Test-Deploy folder, the changes I made are not reflecting in the result. I could not find any difference in the results before and after changing. My doubt is has it saved my previous dtsx file somewhere on the server and executing the same dtsx file instead of the new one?

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  • A file in git associated with the repo, under revision control, but not associated with any particul

    - by anon
    Say I have a file called: "todo" It's a list of things I want to do for this project. I want this file associated with my git repo. I want there to be different revisions of this file, however, I don't want it associated with particular branches. For example: On branch master. Create some basic ToDo items Branch "dev1" Add more stuff to todo list Branch "dev2" from master. Add more stuff to todo list Now, I have different revisions of the todo file lying all around. I just want there to be one "todo" file -- is this possible? Does this make sense? Am I misusing todo somehow?

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  • How do I delete a file from depot, but leave local copy in tact?

    - by Gary
    I'm trying to learn Perforce and want to delete a file from the depot(easy to do with p4 delete, p4 submit), but that deletes it from the client machine dir structure as well. I want to keep my local file in my directory intact. The only way I can see to do this would be to move it out of the hierarchy that is under Perforce control before deleting. I was able to get my file back by syncing an earlier version. Maybe I set up my client workspace wrong? Or am I misunderstanding a fundamental concept of source control? The client workspace is /home/user and I did it this way so I could add any file under my home directory without getting an error about the file not being under client's root. FYI - Linux client and server running P4D/LINUX26X86/2009.1/222893 (2009/11/12) Any advice appreciated. Thanks.

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  • How to get the contents of the wav file into array so as to cut the required segment and convert it

    - by kaushik
    How to get the contents of the wav file into array so as to cut the required segment and convert it back to wav format using python?? My prob is similar to "ROMANs" prob,i hav seen earlier in the post at this site.. Basically,i want to combine parts of different wav file into one wav file?? if there is ne other apporach thn takin the contents into an array and cuting part and combining and again converting bac? please suggest... edited: I prefer unpacking the contents of the wave file into an array and editing by cutting the required segment of sound from the wav file,as i am working on speech processing,and guess this way would be easy to enchance the quality of sound later... can ne one suggest a way for this?? Plz help.. Thanks in advance.

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  • How can I determine file encodings on Windows / IIS ?

    - by Dylan Beattie
    From the answers to this question it appears there's a file somewhere on our server that's been saved with the wrong encoding. I've seen this happen before - most often when pasting from Word into Visual Studio, when "smart quotes" can interfere with Visual Studio's encoding settings when saving the file. Thing is - the problem I'm having involves 20-30 different script files, include files and so on (hey, that was how we kept it modular back in the day...) and I really don't want to open every one of them in Visual Studio and check the file encodings individually. Is there any way I can analyze a folder tree full of files and spit out a list of each filename along with the text encoding used to save the file? (Or - if encodings aren't clearly specified - work out what encoding Microsoft IIS thinks was used to save the file?)

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  • C: Expanding an array with malloc

    - by Mal Ock
    I'm a bit new to malloc and C in general. I wanted to know how I can, if needed, extend the size of an otherwise fixed-size array with malloc. Example: #define SIZE 1000 struct mystruct { int a; int b; char c; }; mystruct myarray[ SIZE ]; int myarrayMaxSize = SIZE; .... if ( i > myarrayMaxSize ) { // malloc another SIZE (1000) elements myarrayMaxSize += SIZE; } The above example should make clear what I want to accomplish. (By the way: I need this for an interpreter I write: Work with a fixed amount of variables and in case more are needed, just allocate them dynamically)

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  • How to create column width in CSS that expands with large images yet stays a default size for normal

    - by ChrisJF
    I am creating an HTML5 web page with a one column layout. Basically, it is a forum thread with individual posts. I have specified in my CSS file the column to be 600px wide and centered it in the window using margin: 0 auto;. However, some images that are in the individual posts are larger than 600px and spill out of the column. I'd like to widen an individual post to fit the larger images. However, I want all the other posts to still be 600px wide. Right now, I'm just using overflow:auto which will create a scroll bar, but this is less than ideal. Is this possible to have the an individual post width grow for larger content yet stay fixed for normal content? Is this possible using just pure CSS? Thanks in advance!

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  • Using R to Analyze G1GC Log Files

    - by user12620111
    Using R to Analyze G1GC Log Files body, td { font-family: sans-serif; background-color: white; font-size: 12px; margin: 8px; } tt, code, pre { font-family: 'DejaVu Sans Mono', 'Droid Sans Mono', 'Lucida Console', Consolas, Monaco, monospace; } h1 { font-size:2.2em; } h2 { font-size:1.8em; } h3 { font-size:1.4em; } h4 { font-size:1.0em; } h5 { font-size:0.9em; } h6 { font-size:0.8em; } a:visited { color: rgb(50%, 0%, 50%); } pre { margin-top: 0; max-width: 95%; border: 1px solid #ccc; white-space: pre-wrap; } pre code { display: block; padding: 0.5em; } code.r, code.cpp { background-color: #F8F8F8; } table, td, th { border: none; } blockquote { color:#666666; margin:0; padding-left: 1em; border-left: 0.5em #EEE solid; } hr { height: 0px; border-bottom: none; border-top-width: thin; border-top-style: dotted; border-top-color: #999999; } @media print { * { background: transparent !important; color: black !important; filter:none !important; -ms-filter: none !important; } body { 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  Using R to Analyze G1GC Log Files   Using R to Analyze G1GC Log Files Introduction Working in Oracle Platform Integration gives an engineer opportunities to work on a wide array of technologies. My team’s goal is to make Oracle applications run best on the Solaris/SPARC platform. When looking for bottlenecks in a modern applications, one needs to be aware of not only how the CPUs and operating system are executing, but also network, storage, and in some cases, the Java Virtual Machine. I was recently presented with about 1.5 GB of Java Garbage First Garbage Collector log file data. If you’re not familiar with the subject, you might want to review Garbage First Garbage Collector Tuning by Monica Beckwith. The customer had been running Java HotSpot 1.6.0_31 to host a web application server. I was told that the Solaris/SPARC server was running a Java process launched using a commmand line that included the following flags: -d64 -Xms9g -Xmx9g -XX:+UseG1GC -XX:MaxGCPauseMillis=200 -XX:InitiatingHeapOccupancyPercent=80 -XX:PermSize=256m -XX:MaxPermSize=256m -XX:+PrintGC -XX:+PrintGCTimeStamps -XX:+PrintHeapAtGC -XX:+PrintGCDateStamps -XX:+PrintFlagsFinal -XX:+DisableExplicitGC -XX:+UnlockExperimentalVMOptions -XX:ParallelGCThreads=8 Several sources on the internet indicate that if I were to print out the 1.5 GB of log files, it would require enough paper to fill the bed of a pick up truck. Of course, it would be fruitless to try to scan the log files by hand. Tools will be required to summarize the contents of the log files. Others have encountered large Java garbage collection log files. There are existing tools to analyze the log files: IBM’s GC toolkit The chewiebug GCViewer gchisto HPjmeter Instead of using one of the other tools listed, I decide to parse the log files with standard Unix tools, and analyze the data with R. Data Cleansing The log files arrived in two different formats. I guess that the difference is that one set of log files was generated using a more verbose option, maybe -XX:+PrintHeapAtGC, and the other set of log files was generated without that option. Format 1 In some of the log files, the log files with the less verbose format, a single trace, i.e. the report of a singe garbage collection event, looks like this: {Heap before GC invocations=12280 (full 61): garbage-first heap total 9437184K, used 7499918K [0xfffffffd00000000, 0xffffffff40000000, 0xffffffff40000000) region size 4096K, 1 young (4096K), 0 survivors (0K) compacting perm gen total 262144K, used 144077K [0xffffffff40000000, 0xffffffff50000000, 0xffffffff50000000) the space 262144K, 54% used [0xffffffff40000000, 0xffffffff48cb3758, 0xffffffff48cb3800, 0xffffffff50000000) No shared spaces configured. 2014-05-14T07:24:00.988-0700: 60586.353: [GC pause (young) 7324M->7320M(9216M), 0.1567265 secs] Heap after GC invocations=12281 (full 61): garbage-first heap total 9437184K, used 7496533K [0xfffffffd00000000, 0xffffffff40000000, 0xffffffff40000000) region size 4096K, 0 young (0K), 0 survivors (0K) compacting perm gen total 262144K, used 144077K [0xffffffff40000000, 0xffffffff50000000, 0xffffffff50000000) the space 262144K, 54% used [0xffffffff40000000, 0xffffffff48cb3758, 0xffffffff48cb3800, 0xffffffff50000000) No shared spaces configured. } A simple grep can be used to extract a summary: $ grep "\[ GC pause (young" g1gc.log 2014-05-13T13:24:35.091-0700: 3.109: [GC pause (young) 20M->5029K(9216M), 0.0146328 secs] 2014-05-13T13:24:35.440-0700: 3.459: [GC pause (young) 9125K->6077K(9216M), 0.0086723 secs] 2014-05-13T13:24:37.581-0700: 5.599: [GC pause (young) 25M->8470K(9216M), 0.0203820 secs] 2014-05-13T13:24:42.686-0700: 10.704: [GC pause (young) 44M->15M(9216M), 0.0288848 secs] 2014-05-13T13:24:48.941-0700: 16.958: [GC pause (young) 51M->20M(9216M), 0.0491244 secs] 2014-05-13T13:24:56.049-0700: 24.066: [GC pause (young) 92M->26M(9216M), 0.0525368 secs] 2014-05-13T13:25:34.368-0700: 62.383: [GC pause (young) 602M->68M(9216M), 0.1721173 secs] But that format wasn't easily read into R, so I needed to be a bit more tricky. I used the following Unix command to create a summary file that was easy for R to read. $ echo "SecondsSinceLaunch BeforeSize AfterSize TotalSize RealTime" $ grep "\[GC pause (young" g1gc.log | grep -v mark | sed -e 's/[A-SU-z\(\),]/ /g' -e 's/->/ /' -e 's/: / /g' | more SecondsSinceLaunch BeforeSize AfterSize TotalSize RealTime 2014-05-13T13:24:35.091-0700 3.109 20 5029 9216 0.0146328 2014-05-13T13:24:35.440-0700 3.459 9125 6077 9216 0.0086723 2014-05-13T13:24:37.581-0700 5.599 25 8470 9216 0.0203820 2014-05-13T13:24:42.686-0700 10.704 44 15 9216 0.0288848 2014-05-13T13:24:48.941-0700 16.958 51 20 9216 0.0491244 2014-05-13T13:24:56.049-0700 24.066 92 26 9216 0.0525368 2014-05-13T13:25:34.368-0700 62.383 602 68 9216 0.1721173 Format 2 In some of the log files, the log files with the more verbose format, a single trace, i.e. the report of a singe garbage collection event, was more complicated than Format 1. Here is a text file with an example of a single G1GC trace in the second format. As you can see, it is quite complicated. It is nice that there is so much information available, but the level of detail can be overwhelming. I wrote this awk script (download) to summarize each trace on a single line. #!/usr/bin/env awk -f BEGIN { printf("SecondsSinceLaunch IncrementalCount FullCount UserTime SysTime RealTime BeforeSize AfterSize TotalSize\n") } ###################### # Save count data from lines that are at the start of each G1GC trace. # Each trace starts out like this: # {Heap before GC invocations=14 (full 0): # garbage-first heap total 9437184K, used 325496K [0xfffffffd00000000, 0xffffffff40000000, 0xffffffff40000000) ###################### /{Heap.*full/{ gsub ( "\\)" , "" ); nf=split($0,a,"="); split(a[2],b," "); getline; if ( match($0, "first") ) { G1GC=1; IncrementalCount=b[1]; FullCount=substr( b[3], 1, length(b[3])-1 ); } else { G1GC=0; } } ###################### # Pull out time stamps that are in lines with this format: # 2014-05-12T14:02:06.025-0700: 94.312: [GC pause (young), 0.08870154 secs] ###################### /GC pause/ { DateTime=$1; SecondsSinceLaunch=substr($2, 1, length($2)-1); } ###################### # Heap sizes are in lines that look like this: # [ 4842M->4838M(9216M)] ###################### /\[ .*]$/ { gsub ( "\\[" , "" ); gsub ( "\ \]" , "" ); gsub ( "->" , " " ); gsub ( "\\( " , " " ); gsub ( "\ \)" , " " ); split($0,a," "); if ( split(a[1],b,"M") > 1 ) {BeforeSize=b[1]*1024;} if ( split(a[1],b,"K") > 1 ) {BeforeSize=b[1];} if ( split(a[2],b,"M") > 1 ) {AfterSize=b[1]*1024;} if ( split(a[2],b,"K") > 1 ) {AfterSize=b[1];} if ( split(a[3],b,"M") > 1 ) {TotalSize=b[1]*1024;} if ( split(a[3],b,"K") > 1 ) {TotalSize=b[1];} } ###################### # Emit an output line when you find input that looks like this: # [Times: user=1.41 sys=0.08, real=0.24 secs] ###################### /\[Times/ { if (G1GC==1) { gsub ( "," , "" ); split($2,a,"="); UserTime=a[2]; split($3,a,"="); SysTime=a[2]; split($4,a,"="); RealTime=a[2]; print DateTime,SecondsSinceLaunch,IncrementalCount,FullCount,UserTime,SysTime,RealTime,BeforeSize,AfterSize,TotalSize; G1GC=0; } } The resulting summary is about 25X smaller that the original file, but still difficult for a human to digest. SecondsSinceLaunch IncrementalCount FullCount UserTime SysTime RealTime BeforeSize AfterSize TotalSize ... 2014-05-12T18:36:34.669-0700: 3985.744 561 0 0.57 0.06 0.16 1724416 1720320 9437184 2014-05-12T18:36:34.839-0700: 3985.914 562 0 0.51 0.06 0.19 1724416 1720320 9437184 2014-05-12T18:36:35.069-0700: 3986.144 563 0 0.60 0.04 0.27 1724416 1721344 9437184 2014-05-12T18:36:35.354-0700: 3986.429 564 0 0.33 0.04 0.09 1725440 1722368 9437184 2014-05-12T18:36:35.545-0700: 3986.620 565 0 0.58 0.04 0.17 1726464 1722368 9437184 2014-05-12T18:36:35.726-0700: 3986.801 566 0 0.43 0.05 0.12 1726464 1722368 9437184 2014-05-12T18:36:35.856-0700: 3986.930 567 0 0.30 0.04 0.07 1726464 1723392 9437184 2014-05-12T18:36:35.947-0700: 3987.023 568 0 0.61 0.04 0.26 1727488 1723392 9437184 2014-05-12T18:36:36.228-0700: 3987.302 569 0 0.46 0.04 0.16 1731584 1724416 9437184 Reading the Data into R Once the GC log data had been cleansed, either by processing the first format with the shell script, or by processing the second format with the awk script, it was easy to read the data into R. g1gc.df = read.csv("summary.txt", row.names = NULL, stringsAsFactors=FALSE,sep="") str(g1gc.df) ## 'data.frame': 8307 obs. of 10 variables: ## $ row.names : chr "2014-05-12T14:00:32.868-0700:" "2014-05-12T14:00:33.179-0700:" "2014-05-12T14:00:33.677-0700:" "2014-05-12T14:00:35.538-0700:" ... ## $ SecondsSinceLaunch: num 1.16 1.47 1.97 3.83 6.1 ... ## $ IncrementalCount : int 0 1 2 3 4 5 6 7 8 9 ... ## $ FullCount : int 0 0 0 0 0 0 0 0 0 0 ... ## $ UserTime : num 0.11 0.05 0.04 0.21 0.08 0.26 0.31 0.33 0.34 0.56 ... ## $ SysTime : num 0.04 0.01 0.01 0.05 0.01 0.06 0.07 0.06 0.07 0.09 ... ## $ RealTime : num 0.02 0.02 0.01 0.04 0.02 0.04 0.05 0.04 0.04 0.06 ... ## $ BeforeSize : int 8192 5496 5768 22528 24576 43008 34816 53248 55296 93184 ... ## $ AfterSize : int 1400 1672 2557 4907 7072 14336 16384 18432 19456 21504 ... ## $ TotalSize : int 9437184 9437184 9437184 9437184 9437184 9437184 9437184 9437184 9437184 9437184 ... head(g1gc.df) ## row.names SecondsSinceLaunch IncrementalCount ## 1 2014-05-12T14:00:32.868-0700: 1.161 0 ## 2 2014-05-12T14:00:33.179-0700: 1.472 1 ## 3 2014-05-12T14:00:33.677-0700: 1.969 2 ## 4 2014-05-12T14:00:35.538-0700: 3.830 3 ## 5 2014-05-12T14:00:37.811-0700: 6.103 4 ## 6 2014-05-12T14:00:41.428-0700: 9.720 5 ## FullCount UserTime SysTime RealTime BeforeSize AfterSize TotalSize ## 1 0 0.11 0.04 0.02 8192 1400 9437184 ## 2 0 0.05 0.01 0.02 5496 1672 9437184 ## 3 0 0.04 0.01 0.01 5768 2557 9437184 ## 4 0 0.21 0.05 0.04 22528 4907 9437184 ## 5 0 0.08 0.01 0.02 24576 7072 9437184 ## 6 0 0.26 0.06 0.04 43008 14336 9437184 Basic Statistics Once the data has been read into R, simple statistics are very easy to generate. All of the numbers from high school statistics are available via simple commands. For example, generate a summary of every column: summary(g1gc.df) ## row.names SecondsSinceLaunch IncrementalCount FullCount ## Length:8307 Min. : 1 Min. : 0 Min. : 0.0 ## Class :character 1st Qu.: 9977 1st Qu.:2048 1st Qu.: 0.0 ## Mode :character Median :12855 Median :4136 Median : 12.0 ## Mean :12527 Mean :4156 Mean : 31.6 ## 3rd Qu.:15758 3rd Qu.:6262 3rd Qu.: 61.0 ## Max. :55484 Max. :8391 Max. :113.0 ## UserTime SysTime RealTime BeforeSize ## Min. :0.040 Min. :0.0000 Min. : 0.0 Min. : 5476 ## 1st Qu.:0.470 1st Qu.:0.0300 1st Qu.: 0.1 1st Qu.:5137920 ## Median :0.620 Median :0.0300 Median : 0.1 Median :6574080 ## Mean :0.751 Mean :0.0355 Mean : 0.3 Mean :5841855 ## 3rd Qu.:0.920 3rd Qu.:0.0400 3rd Qu.: 0.2 3rd Qu.:7084032 ## Max. :3.370 Max. :1.5600 Max. :488.1 Max. :8696832 ## AfterSize TotalSize ## Min. : 1380 Min. :9437184 ## 1st Qu.:5002752 1st Qu.:9437184 ## Median :6559744 Median :9437184 ## Mean :5785454 Mean :9437184 ## 3rd Qu.:7054336 3rd Qu.:9437184 ## Max. :8482816 Max. :9437184 Q: What is the total amount of User CPU time spent in garbage collection? sum(g1gc.df$UserTime) ## [1] 6236 As you can see, less than two hours of CPU time was spent in garbage collection. Is that too much? To find the percentage of time spent in garbage collection, divide the number above by total_elapsed_time*CPU_count. In this case, there are a lot of CPU’s and it turns out the the overall amount of CPU time spent in garbage collection isn’t a problem when viewed in isolation. When calculating rates, i.e. events per unit time, you need to ask yourself if the rate is homogenous across the time period in the log file. Does the log file include spikes of high activity that should be separately analyzed? Averaging in data from nights and weekends with data from business hours may alias problems. If you have a reason to suspect that the garbage collection rates include peaks and valleys that need independent analysis, see the “Time Series” section, below. Q: How much garbage is collected on each pass? The amount of heap space that is recovered per GC pass is surprisingly low: At least one collection didn’t recover any data. (“Min.=0”) 25% of the passes recovered 3MB or less. (“1st Qu.=3072”) Half of the GC passes recovered 4MB or less. (“Median=4096”) The average amount recovered was 56MB. (“Mean=56390”) 75% of the passes recovered 36MB or less. (“3rd Qu.=36860”) At least one pass recovered 2GB. (“Max.=2121000”) g1gc.df$Delta = g1gc.df$BeforeSize - g1gc.df$AfterSize summary(g1gc.df$Delta) ## Min. 1st Qu. Median Mean 3rd Qu. Max. ## 0 3070 4100 56400 36900 2120000 Q: What is the maximum User CPU time for a single collection? The worst garbage collection (“Max.”) is many standard deviations away from the mean. The data appears to be right skewed. summary(g1gc.df$UserTime) ## Min. 1st Qu. Median Mean 3rd Qu. Max. ## 0.040 0.470 0.620 0.751 0.920 3.370 sd(g1gc.df$UserTime) ## [1] 0.3966 Basic Graphics Once the data is in R, it is trivial to plot the data with formats including dot plots, line charts, bar charts (simple, stacked, grouped), pie charts, boxplots, scatter plots histograms, and kernel density plots. Histogram of User CPU Time per Collection I don't think that this graph requires any explanation. hist(g1gc.df$UserTime, main="User CPU Time per Collection", xlab="Seconds", ylab="Frequency") Box plot to identify outliers When the initial data is viewed with a box plot, you can see the one crazy outlier in the real time per GC. Save this data point for future analysis and drop the outlier so that it’s not throwing off our statistics. Now the box plot shows many outliers, which will be examined later, using times series analysis. Notice that the scale of the x-axis changes drastically once the crazy outlier is removed. par(mfrow=c(2,1)) boxplot(g1gc.df$UserTime,g1gc.df$SysTime,g1gc.df$RealTime, main="Box Plot of Time per GC\n(dominated by a crazy outlier)", names=c("usr","sys","elapsed"), xlab="Seconds per GC", ylab="Time (Seconds)", horizontal = TRUE, outcol="red") crazy.outlier.df=g1gc.df[g1gc.df$RealTime > 400,] g1gc.df=g1gc.df[g1gc.df$RealTime < 400,] boxplot(g1gc.df$UserTime,g1gc.df$SysTime,g1gc.df$RealTime, main="Box Plot of Time per GC\n(crazy outlier excluded)", names=c("usr","sys","elapsed"), xlab="Seconds per GC", ylab="Time (Seconds)", horizontal = TRUE, outcol="red") box(which = "outer", lty = "solid") Here is the crazy outlier for future analysis: crazy.outlier.df ## row.names SecondsSinceLaunch IncrementalCount ## 8233 2014-05-12T23:15:43.903-0700: 20741 8316 ## FullCount UserTime SysTime RealTime BeforeSize AfterSize TotalSize ## 8233 112 0.55 0.42 488.1 8381440 8235008 9437184 ## Delta ## 8233 146432 R Time Series Data To analyze the garbage collection as a time series, I’ll use Z’s Ordered Observations (zoo). “zoo is the creator for an S3 class of indexed totally ordered observations which includes irregular time series.” require(zoo) ## Loading required package: zoo ## ## Attaching package: 'zoo' ## ## The following objects are masked from 'package:base': ## ## as.Date, as.Date.numeric head(g1gc.df[,1]) ## [1] "2014-05-12T14:00:32.868-0700:" "2014-05-12T14:00:33.179-0700:" ## [3] "2014-05-12T14:00:33.677-0700:" "2014-05-12T14:00:35.538-0700:" ## [5] "2014-05-12T14:00:37.811-0700:" "2014-05-12T14:00:41.428-0700:" options("digits.secs"=3) times=as.POSIXct( g1gc.df[,1], format="%Y-%m-%dT%H:%M:%OS%z:") g1gc.z = zoo(g1gc.df[,-c(1)], order.by=times) head(g1gc.z) ## SecondsSinceLaunch IncrementalCount FullCount ## 2014-05-12 17:00:32.868 1.161 0 0 ## 2014-05-12 17:00:33.178 1.472 1 0 ## 2014-05-12 17:00:33.677 1.969 2 0 ## 2014-05-12 17:00:35.538 3.830 3 0 ## 2014-05-12 17:00:37.811 6.103 4 0 ## 2014-05-12 17:00:41.427 9.720 5 0 ## UserTime SysTime RealTime BeforeSize AfterSize ## 2014-05-12 17:00:32.868 0.11 0.04 0.02 8192 1400 ## 2014-05-12 17:00:33.178 0.05 0.01 0.02 5496 1672 ## 2014-05-12 17:00:33.677 0.04 0.01 0.01 5768 2557 ## 2014-05-12 17:00:35.538 0.21 0.05 0.04 22528 4907 ## 2014-05-12 17:00:37.811 0.08 0.01 0.02 24576 7072 ## 2014-05-12 17:00:41.427 0.26 0.06 0.04 43008 14336 ## TotalSize Delta ## 2014-05-12 17:00:32.868 9437184 6792 ## 2014-05-12 17:00:33.178 9437184 3824 ## 2014-05-12 17:00:33.677 9437184 3211 ## 2014-05-12 17:00:35.538 9437184 17621 ## 2014-05-12 17:00:37.811 9437184 17504 ## 2014-05-12 17:00:41.427 9437184 28672 Example of Two Benchmark Runs in One Log File The data in the following graph is from a different log file, not the one of primary interest to this article. I’m including this image because it is an example of idle periods followed by busy periods. It would be uninteresting to average the rate of garbage collection over the entire log file period. More interesting would be the rate of garbage collect in the two busy periods. Are they the same or different? Your production data may be similar, for example, bursts when employees return from lunch and idle times on weekend evenings, etc. Once the data is in an R Time Series, you can analyze isolated time windows. Clipping the Time Series data Flashing back to our test case… Viewing the data as a time series is interesting. You can see that the work intensive time period is between 9:00 PM and 3:00 AM. Lets clip the data to the interesting period:     par(mfrow=c(2,1)) plot(g1gc.z$UserTime, type="h", main="User Time per GC\nTime: Complete Log File", xlab="Time of Day", ylab="CPU Seconds per GC", col="#1b9e77") clipped.g1gc.z=window(g1gc.z, start=as.POSIXct("2014-05-12 21:00:00"), end=as.POSIXct("2014-05-13 03:00:00")) plot(clipped.g1gc.z$UserTime, type="h", main="User Time per GC\nTime: Limited to Benchmark Execution", xlab="Time of Day", ylab="CPU Seconds per GC", col="#1b9e77") box(which = "outer", lty = "solid") Cumulative Incremental and Full GC count Here is the cumulative incremental and full GC count. When the line is very steep, it indicates that the GCs are repeating very quickly. Notice that the scale on the Y axis is different for full vs. incremental. plot(clipped.g1gc.z[,c(2:3)], main="Cumulative Incremental and Full GC count", xlab="Time of Day", col="#1b9e77") GC Analysis of Benchmark Execution using Time Series data In the following series of 3 graphs: The “After Size” show the amount of heap space in use after each garbage collection. Many Java objects are still referenced, i.e. alive, during each garbage collection. This may indicate that the application has a memory leak, or may indicate that the application has a very large memory footprint. Typically, an application's memory footprint plateau's in the early stage of execution. One would expect this graph to have a flat top. The steep decline in the heap space may indicate that the application crashed after 2:00. The second graph shows that the outliers in real execution time, discussed above, occur near 2:00. when the Java heap seems to be quite full. The third graph shows that Full GCs are infrequent during the first few hours of execution. The rate of Full GC's, (the slope of the cummulative Full GC line), changes near midnight.   plot(clipped.g1gc.z[,c("AfterSize","RealTime","FullCount")], xlab="Time of Day", col=c("#1b9e77","red","#1b9e77")) GC Analysis of heap recovered Each GC trace includes the amount of heap space in use before and after the individual GC event. During garbage coolection, unreferenced objects are identified, the space holding the unreferenced objects is freed, and thus, the difference in before and after usage indicates how much space has been freed. The following box plot and bar chart both demonstrate the same point - the amount of heap space freed per garbage colloection is surprisingly low. par(mfrow=c(2,1)) boxplot(as.vector(clipped.g1gc.z$Delta), main="Amount of Heap Recovered per GC Pass", xlab="Size in KB", horizontal = TRUE, col="red") hist(as.vector(clipped.g1gc.z$Delta), main="Amount of Heap Recovered per GC Pass", xlab="Size in KB", breaks=100, col="red") box(which = "outer", lty = "solid") This graph is the most interesting. The dark blue area shows how much heap is occupied by referenced Java objects. This represents memory that holds live data. The red fringe at the top shows how much data was recovered after each garbage collection. barplot(clipped.g1gc.z[,c("AfterSize","Delta")], col=c("#7570b3","#e7298a"), xlab="Time of Day", border=NA) legend("topleft", c("Live Objects","Heap Recovered on GC"), fill=c("#7570b3","#e7298a")) box(which = "outer", lty = "solid") When I discuss the data in the log files with the customer, I will ask for an explaination for the large amount of referenced data resident in the Java heap. There are two are posibilities: There is a memory leak and the amount of space required to hold referenced objects will continue to grow, limited only by the maximum heap size. After the maximum heap size is reached, the JVM will throw an “Out of Memory” exception every time that the application tries to allocate a new object. If this is the case, the aplication needs to be debugged to identify why old objects are referenced when they are no longer needed. The application has a legitimate requirement to keep a large amount of data in memory. The customer may want to further increase the maximum heap size. Another possible solution would be to partition the application across multiple cluster nodes, where each node has responsibility for managing a unique subset of the data. Conclusion In conclusion, R is a very powerful tool for the analysis of Java garbage collection log files. The primary difficulty is data cleansing so that information can be read into an R data frame. Once the data has been read into R, a rich set of tools may be used for thorough evaluation.

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