﻿<?xml version="1.0" encoding="UTF-8"?><rss version="2.0" xmlns:dc="http://purl.org/dc/elements/1.1/"><channel><title>LogViewPlus Support » LogViewPlus Support » Help &amp; Support  » Reports - Minute granularity</title><generator>InstantForum 2017-1 Final</generator><description>LogViewPlus Support</description><link>https://www.logviewplus.com/forum/</link><webMaster>LogViewPlus Support</webMaster><lastBuildDate>Sat, 11 Apr 2026 06:07:43 GMT</lastBuildDate><ttl>20</ttl><item><title>RE: Reports - Minute granularity</title><link>https://www.logviewplus.com/forum/post/1782</link><description>Correct - the graphs will auto-scale the X / Y axis based on the data range to display.&amp;nbsp; The graph is then drawn to a pre-allocated size and sometimes this can result in a graph that is difficult to read.&amp;nbsp; Unfortunately, this is not something that we can easily resolve.&amp;nbsp; It would be better to address this by changing the granularity or graph type.&lt;br/&gt;&lt;br/&gt;I also noticed that you are using a line graph which draws a line between two points.&amp;nbsp; If data is missing for a time range, this can result in 'false' data being shown in the grid as the line does not drop to zero unless an explicit 'zero' value is found.&amp;nbsp; In this situation, a bar graph may be more appropriate.&lt;br/&gt;&lt;br/&gt;Also, you may want to check out the &lt;a href="https://www.logviewplus.com/docs/navigation_reports_1.html" id="if_insertedNode_1686251355431"&gt;Navigation Reports&lt;/a&gt;.&amp;nbsp; These reports use the same graphing controls and they might help with giving you a better understanding how the underlying controls behave.&lt;br/&gt;&lt;br/&gt;Automatically adding a scroll bar to the charts is not going to be possible.&amp;nbsp; It is very difficult to predict in advance if they are actually needed.&lt;br/&gt;&lt;br/&gt;Hope that helps,&lt;br/&gt;&lt;br/&gt;Toby</description><pubDate>Thu, 08 Jun 2023 19:12:56 GMT</pubDate><dc:creator>LogViewPlus Support</dc:creator></item><item><title>Reports - Minute granularity</title><link>https://www.logviewplus.com/forum/post/1778</link><description>In the reports section, the time scale seems to be restricted to minutes with the following settings:&lt;br/&gt;[code language="sql"]SELECT Timestamp AS Time, tractionSwitch AS Traction, speedcap as Cap&lt;br/&gt;FROM CurrentView&lt;br/&gt;ORDER BY Time[/code]&lt;br/&gt;Sample rows from execution results:&lt;br/&gt;[code]8 Jun 2023 2:13:16 PM.619&amp;nbsp; &amp;nbsp; &amp;nbsp;3861&amp;nbsp; &amp;nbsp; 7500&lt;br/&gt;8 Jun 2023 2:13:16 PM.623&amp;nbsp; &amp;nbsp; &amp;nbsp;3862&amp;nbsp; &amp;nbsp; 7500[/code]&lt;br/&gt;Is there any way to increase the granularity of the graphs by selecting units? The Log entries per minute has a dropdown which is nice, although it doesn't display units smaller than minutes when hovering.</description><pubDate>Thu, 08 Jun 2023 19:11:40 GMT</pubDate><dc:creator>IvanW</dc:creator></item><item><title>RE: Reports - Minute granularity</title><link>https://www.logviewplus.com/forum/post/1781</link><description>TO be clear - I'd rather see all values and have a scroll bar, rather than it always fitting to my &amp;#119;indow.:)&lt;br/&gt;</description><pubDate>Thu, 08 Jun 2023 19:00:56 GMT</pubDate><dc:creator>IvanW</dc:creator></item><item><title>RE: Reports - Minute granularity</title><link>https://www.logviewplus.com/forum/post/1780</link><description>Ah thank you! I was able to use this and drill down and see that in fact, all values are being plotted correctly, but the graph is small enough that I couldn't see the unit resolution in the hovering. If I restrict the time period, I can see seconds or even ms if it's small enough. The X axis is autoscaling the resolution it seems. If I could force it to a certain scale that would be ideal so I could visualize all the values, even labeling was more course.&lt;br/&gt;Ie with a small time period with same data:&lt;br/&gt;&lt;img 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/i9AAAQDzgRCAAAQ4QmAACGCE0AAAwRmgAAGCI00aXSI2d0CQBAaMKnaWNz5cL8/nLg2Fl5cd1+XQsAiY3QhE+ZaU6Z+eWhdlmNSQkAIDTRhRQnLw8A8MZWEQAAQ4QmAACGCE0AAAwRmgAAGCI0AQAwRGgCAGCI0AQAwBChCQCAIUITAABDhCYAAIYITQAADBGaAAAYIjQBADBEaAIAYMjhcrladDloG3edlj/85ZhcNj5bvvXVgboW8WJbabX83/VHZOp5WfL3Mwbr2uA8/qcDUnasVn7wjREyemC6rCo+KsV7qmRO4SApHNdPL9Xmo9Izsnz9YXE4rNvOK5DkJKsQhuPVDbJ0jUvyslJk8exRuhYAQuNosehy0F7/8KD85rXdcvXFw+V711ygaxEv3v/0iPx6zady6cTBcv/sibo2OD96fqvsPnBaHr11mlwwIluefnWXvLWtUhZcO15mTR2ml3Krb2yWm/75PVEx+ZO5F8m0sbnuK8KgBtC+88nNMiQnQ565a7quBYDQcHgWMUcNft0dgQkA3Y3QBADAEKEJv9JTnfa07Ei1HD55zi4DQCIjNOHXxWNz5fLJQ+TA8RpZsa5E1wJA4iI00aWvjMvTJQAAoQkjjU0hn2QNAHGD0ESX+mWm2NMd+0/Kp64v7DIAJCpCE1360ugcuWF6vtQ2NMnK9aW6FgASE6GJgNQJQQAAQhMAAGOEJgAAhghNJIS6hibZWXpKSg+fkRNVdVJvzQNAsAhNxLXB/dNlYHa6nDpTL4tXfCT3/vYDue2JTXLTw+tlziPr5fZ/KZb7nv2r/Oyl7bLsj5/J797YI6s3lMkbHx6UTZ8dtYO27MgZOVldJw2NzfpeASQqRjlBQJ+UnZKf/P4jmTQ6R37+3S/rWjOhjHKS6kyS1f94ua4NX/nRM7Ji3X57b7OqpsG+VJ9rCCkEM9OckpXhlH6ZqZKVmWL/JCcrwz11X6x6fb19nXUJd3gzALGD0ERAvT00/ampa7TCs9EK0Xqp9gpTT7Da9R2ub2oO/u3SJ12HrB2mbcGapYPVDtcOwavGEwUQewhNBBSvoRmKs7U6RO0wbQvWamvqCduOwRvKO6yvDlHfe7Hucl+vPVp1ARB5hCYCIjTDc0aHqGev1ROm3sF7xquspqHwDlb3oWN9iLhduLYFrwpmAMEhNBEQoRl93sHqPjTsDlN/wauCOVjqEHBXweoreNWhZiCREZoIiNCMfepd7C9YO+7Feq5Xh5qDpU5qskPUR9h2DF734eMU++QpIF4QmgiI0IxP6qQmO0R9hK2/4FUnTwXLmayC1hOmKlxV6LrLqt5X8KanJutbA7GF0ERAhCY81BBxbWGqwlWFrrus6n0Fb2198B1JpFivAU/IdgxWdfGcKOV9fVoKQYvIIzQREKGJcKjel9wB2jlY1cVzopT39eo3tcFSe6e+92K9y3qPVl2sZdVrDQgGoYmACE1Em9o79b0X613We7TqYi2rXj/BymjtrMIdrHagBgheZzJBm8gITQQUidC8fnq+zJ95vl7KjdBEOM61dlbhDlY7UK35tt/Qdg7exqYQeoVKb+sVylewqmn739CmCp1CxQ9CEwF1Z2hu+OSIPL72U/v7p5/dPEXGj8zWSxKaiL6a2rZeoXwFq5q6T4Jquz6ETqFav4NV4errzOOOwav2dMnZ2ERoIqDuDE3loZU7Zeve43L718fKN/5mpF2nEJroDbw7q/B15nHH4FWHj0PZyHp6g7Knfdxhqua992K9g1cth8gjNBFQd4fms2/slT99UEFoImF4ula0p2fdYarmvfdivYNXLRcstWdqh2frXqvei7UC1xPAHa/vS2cVQSM0ERChCUSX2ijb4dm61+rZi1V17mnH68+E0FlFksPdWYUdpp49W3veK3jtvdy26xO9swpCEwERmkDsa7Y25a1h6tmztec7BK+1p+u5PpTOKjy9QnkfFnbPu8udzjzukyoZcdRZBaGJgDyhmZedLr/7P4W61gyhCcQuT69Q3oeF3fPucqef/Jytl3OhdFaR7O6sov1erLvsCVv3fFvHFbHaKxShCSNLXtou20tOyrVWyP2DFXamCE0gvjToXqHa78W6y+6wbdur9Zw0FUqvUGo70D5Y28489h28TkmNQq9QhCaM7Cw9JYtXfCSTRvWXn98yVdcGRmgCUO/tjsHq7/eznutVT1LB8vQK1VWwdgxe1WVjMBwulyvk0Ny467T84S/H5LLx2fKtrw7UtYhHew+fkyffOChjh2TIXV8frmsDe/xPB6TsWK384BsjZPTAdLvu/205Lhs+/0K+eUmefG1Cf7tOUZ9g71tRIinJDnlsXoGuBZCI6hqapaa+Wc7UNtknOZ2ta7Yv3mU1Uo93neobOVjpKUnSJy3JPpM4054mW/Pq4q5zT911asqeJox84vpCfvLCNvY0AcQsdWKT5/Cw5/vYtu9pO+/Rqp/8BNsrVFihqWzbd0Kmnp+r5xCvCE0A8UjtrXqfAOUJ17bDx97B2yBh9zxMYMKbelHtqjgt7+48LC+/u18qT9ToawAg9vRJd8qQnAwZN7yfXDw2V664aKhc/9WRcvMVBfbAEotu+pL8wtpRePJ/XyIv3Hdp+KGJxKM+me2trJINHx+WVzaUybI/fiYPPPehzPvVRvnurzfKouVb5V/+4zNZvbHM/oQ2fcLA1r1MAOjNwj48i8TgOTyrfm/V0MV3AOpT29ABGdYlU4apS26GzPjSEH2tm+fw7MDsdOnfJ1XXqh9ni5QcquLwLICYRWjC2HNv7pX/3lJhn9atQnFoTroMzdXhqOatgPQOQX8OnzonD728Qw76OXSrTipTJ5cBQKwhNBGUE1V1ktsvTc+FTp304zp6Rs+1SU5KkjFD+uo5AIgthCYAAIY4EQgAAEOEJgAAhghNAAAMEZoAABgiNAEAMERoAgBgiNAEAMAQoQkAgCFCEwAAQ4QmAACGCE0AAAwRmgAAGCI0AQAwRGgCAGCI0AQAwBChCQCAIUITAABDhCYAAIYITQAADBGaAAAYIjQBADBEaAIAYIjQBADAEKEJAIAhh8vlatFlAADQBUeLRZcBAEAXODwLAIAhQhMAAEOEJgAAhghNAAAMEZoAABgiNAEAMERoAgBgiNAEAMAQoQkAgCFCEwAAQ4QmAACGCE0AAAwRmgAAGCI0AQAwRGgCAGCI0AQAwBChCQCAIUITAABDhCYAAIYITQAADBGaAAAYIjQBADBEaAIAYIjQBADAEKEJAIAhQhMAAEOEJgAAhghNAAAMEZoAABgiNAEAMERoAgBgiNAEAMCQw+VytegyAADoSksAKlRNxPJyPIfOYnk5nkNnsbwcz6GzWF6O59BZMMtxeBYAAEMOlZ66HBXl5eWSn5+v53onnkNs4DnEBp5D7KAtIo89TQAADBGaAAAYivrhWQAAeiv2NAEAMERoAgBgiNAEAMAQoQkAgCFCEwAAQ4QmAACG3KFZvlIWXjVTrtaXhavK7Wr/NsmvFqyUCj1nz3vd/upfbtL1/nS4fbvHv1M6PXyH/+/qqx6VYu/6Do9X/Eurrt3/10tErR38Leddr9exN9rBj1DboU27dRXo8WkHP0Jthw7L+dgG+VyHidIOStht0abr9eDdFh22QcWP+n/8KLaFOzQPlMvon74tr7+pLktk9PJ/7hxcWsWqO61/aIms0/O24vdFWm//nNxStiKI25fLqkfWy2XP6tv/9Dx54REfT6bgVvmtff9qGZGHPE+44Eq5wvvxrJX0UlmBjNGzvUq02sHPcsW/XNJa/9v5pfKQr40M7dBOuO8HRb2BX5Ir29aVyePTDu2E3w5XyoOe9fnmMzLHqxe3Tu3jLRHaQQm3LbQu16XF7zZIBebPpLWNnvJuII8otYU7NAt/JD8stEuWkTKyQBetO1/Y4VPXyDnPyOvP3tr+AdvdvkIqSs4Tu+tA09t7G5Ef+MkUXipXlJS7V4jkS9HXRDYWux+keNXzMvprM+xyrxOtdvC53CbZ9OcrpUjXjyycIWPKPOvYD9oh7PeD2sC8lP9c+42Av8f3h3YIux388dk+/sRrOyjhtoXF57psd3v/26Di90vllmd/JK3/QiARbIvO32mWb5KNMkOKDF4j7Vl7jAvUbvH7UvRmEE/OekJznp4nFbfr3erbrb3ORXOtZvGvYtUKWVeQ37rMyDnzrE8+K6XYaoCXym6VOeYPHrsi3g4BlrO2LqNbX3S+0Q5dCdwOaiPyiPxj1xtkg8enHbpi+n54Rx7Sh/Y8h/6M2sdLQrSDEkJbBLsuba3bIBWmJfKCJyOsy6/aHbftLJJt0SE0N8mvvEMrf6481eFQhX8q/NSu8aWyyfPJwfD2bbvkz8ktBdbKWeXjsGDJ83KHXmF3bJghv33aO1iLpOhvrRf97dYniJu7DtzeIRrt4GM5E7RDN7VDuWzaUCL7l9/m3hBY62y/WreeQ0q2Do/vjXboxvdDkfzQc1iv9dCjSftYEqodlFDaoot1adyWXofPrb3Ysp91+L5TiVJbeIWmtTKuWiEjnzV9Mfqj/rkSqTigZwNpl/zqBe7nuwfv49XtVoZb4Rx1OKBt1773inY7+FnO2miUeX1Sa0U7BMlfO3g25vqiDmepddu6TgM8Pu0QJNP3g+fQY6D20RKmHZRQ28JwXXbkbxuUXySXFZSqq9uLUlu4Q9MKroW+VoZdH3gvpGLVo17LqF3pAhk5wiqa3N7eBX9eVnk+Nqhdf893D8GwP7EEc1g4BkWpHXwvpzYq78gm3Q4Vxetl/2gfL9hAaIfw3g+Kv8cPBu1g3g7Fj7Yd7gt1++NPPLSDEmZb+NXu9v62Qe76lzwP0sMZYYem/c9J+2PG/k4pVsemW3evreXUi22k9c+33VYdavX/Zu98+yL5ob27rW+vdv2D+cI3jkSrHfwtV/iAVdbtcMfy8+TBB4r0LRJLNN8PvgTz+PEsau0wIt9r+/O8jP5pYm5/uhJuW5jytw0qfOA5uWyD5/Buz2YEQ4MBAGCo89mzAADAJ0ITAABDhCYAAIYITQAADBGaAAAYIjQBADCUxDBCHqq3i7bb+x1GyOBxfK7DDrdjOCePENuhq+ViZAihHhW1dmjTbl21e3wfP35PlHZQwm6LNl2vB+828+5mzl+9liht0U3tkMQwQprpMEIBHke9oBJ6GKFotYO/5WJoCKEeFdVhtTq+7ssZ7s9bDw+rxZB/Wje1QxLDCGmmwwj5exyLWtEJP4xQj7RD23KxNIRQj4pWO1gCvu4Tebg/Jdy2sPhcx+1ur7oJbOtXtW1YLX/1XeA90WU7JDGMkDfTYYQ0r8dRK5NhhDqIeDt0XE5tINp39RWoCy/aoSuB28H361510M1wfz6F0BbBblts1iccn0P7+av3wnvCN087JHk6yWUYIcXTG7/J8Gbej8MwQp1Fox18LCexM4RQbIhkO/h/3a9iuD8fQmmL7hhWywDvCeN2sM+eZRihjtSLpKthhDo+jmfj0raxTuxhhKLVDh5+luvhIYR6XqTbwc/rfpHIxtY9ErWMn+9EE6YdlFDbwnDb0pG/YbUY8i/sdnD/5MRO2iC+B4pF5eq4tI+VYde3P17ti/EwQv4epzvQDsbt0NXwZrEyhFCPilI7+GQfAmS4v1ZhtoVf7W7vfu37G1aLIf8s3dQOcfM7zWgNIxTM4ySiaLWD/+HNYmcIoZ4UrXbwjeH+vIXbFqb8D6vluz7RdFc7MDQYAACG6BEIAABDhCYAAIYITQAADBGaAAAYIjQBADBEaAIAYIjQBADAkMPlcvE7TQAADNC5AQAAhjg8CwCAIUITAABDhCYAAIYITQAADBGaAAAYIjQBADBEaAIAYIjQBADAEKEJAIAhQhMAAEOEJgAAhghNAAAMEZoAABgiNAEAMERoAgBgiNAEAMCIyP8HnJnnm2Yo8z0AAAAASUVORK5CYII=" alt=""&gt;&lt;br/&gt;&lt;br/&gt;vs larger time period with no other changes:&amp;nbsp;&lt;img src="data:image/png;base64,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" alt=""&gt;&lt;br/&gt;&lt;br/&gt;&lt;br/&gt;</description><pubDate>Thu, 08 Jun 2023 18:56:09 GMT</pubDate><dc:creator>IvanW</dc:creator></item><item><title>RE: Reports - Minute granularity</title><link>https://www.logviewplus.com/forum/post/1779</link><description>Hi Ivan,&lt;br/&gt;&lt;br/&gt;I am not 100% clear what you are trying to do, but if we look at the problem of "log entries per second" this can be achieved with:&lt;br/&gt;[code language="sql"]select &lt;br/&gt;  min(Timestamp) as Time, &lt;br/&gt;  count(*)&lt;br/&gt;from CV&lt;br/&gt;group by &lt;br/&gt;  datepart(year, Timestamp),&lt;br/&gt;  datepart(month, Timestamp), &lt;br/&gt;  datepart(week, Timestamp),  &lt;br/&gt;  datepart(day, Timestamp),   &lt;br/&gt;  datepart(hour, Timestamp),  &lt;br/&gt;  datepart(minute, Timestamp),&lt;br/&gt;  datepart(second, Timestamp) &lt;br/&gt;order by Time[/code]&lt;br/&gt;This SQL statement will group all log entries by time down to the nearest second of granularity, count the number of entries during the interval, and find the minimum timestamp.&lt;br/&gt;&lt;br/&gt;The built in 'Log Entries Per Minute' query does something similar by focusing on the minute interval.&amp;nbsp; It does this very differently (and somewhat hacky) by casting the Timestamp to a small date time:&lt;br/&gt;[code language="sql"]CAST(Timestamp AS smalldatetime)[/code]&lt;br/&gt;The SmallDateTime data type does not support granularity less than a minute.&lt;br/&gt;&lt;br/&gt;Does that help the SQL you were trying to write?&amp;nbsp; If not, can you give me more detail on what you are trying to do?&lt;br/&gt;&lt;br/&gt;Hope that helps,&lt;br/&gt;&lt;br/&gt;Toby</description><pubDate>Thu, 08 Jun 2023 18:37:05 GMT</pubDate><dc:creator>LogViewPlus Support</dc:creator></item></channel></rss>