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  • As a Web Developer, how complicated is your average job? [closed]

    - by Daniel S
    Hey people, I'm 16 years old and I've recently started to do freelance jobs. I've been playing with PHP since I was 12 and I think that I can code reasonably well. So far, I've created a library for fetching info from LinkedIn profiles and some Wordpress plugins. Right now this client wants me to convert an HTML template into a Wordpress theme for using as a website. I feel this is a tad easy, so I wanted to ask, as professional web programmers, are most assignments harder than this?

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  • As a Web Developer, how complicated is your average job compared to this?

    - by Daniel S
    I'm 16 years old, and I've recently started to do freelance jobs. I've been playing with PHP since I was 12 and think that I can code reasonably well. So far, I've created a library for fetching info from LinkedIn profiles and some WordPress plugins. However, right now this client wants me to convert an HTML template into a WordPress theme for use as a website. I feel this is a tad easy. As professional web programmers, are most assignments harder than this?

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  • Trying to prevent Windows from hibernating/sleeping automatically

    - by user328821
    My Dell XPS 8700 (Win 7) suddenly began putting itself to sleep at 6pm daily, even if I'm typing. I don't know what caused this to occur, except possibly a windows update that took place in the middle of the night. I initially went into settings for power and saw 2 plans set up, one from Dell and the other window's Power saver plan. I set both to never for sleep and hibernate yet it still occurred. I have current drivers and a fairly new UPS that has software to set to shutdown only after power loss. Dell is of little help, can anyone point me in the right direction? I did do the powerdfg -energy program and came up with this: Power Efficiency Diagnostics Report Scan Time 2014-05-08T19:21:48Z Scan Duration 60 seconds System Manufacturer Dell Inc. System Product Name XPS 8700 BIOS Date 08/23/2013 BIOS Version A04 OS Build 7601 Platform Role PlatformRoleDesktop Plugged In true Process Count 115 Thread Count 1631 Report GUID {097caf99-039b-44c3-b154-d797bfbfdfcc} Analysis Results Errors Power Policy:Sleep timeout is disabled (Plugged In) The computer is not configured to automatically sleep after a period of inactivity. System Availability Requests:System Required Request The device or driver has made a request to prevent the system from automatically entering sleep. Requesting Driver Instance HDAUDIO\FUNC_01&VEN_10EC&DEV_0899&SUBSYS_102805B7&REV_1000\4&220b1bbc&0&0001 Requesting Driver Device Realtek High Definition Audio CPU Utilization:Processor utilization is high The average processor utilization during the trace was high. The system will consume less power when the average processor utilization is very low. Review processor utilization for individual processes to determine which applications and services contribute the most to total processor utilization. Average Utilization (%) 9.48 Warnings Platform Timer Resolution:Platform Timer Resolution The default platform timer resolution is 15.6ms (15625000ns) and should be used whenever the system is idle. If the timer resolution is increased, processor power management technologies may not be effective. The timer resolution may be increased due to multimedia playback or graphical animations. Current Timer Resolution (100ns units) 10000 Maximum Timer Period (100ns units) 156001 Platform Timer Resolution:Outstanding Kernel Timer Request A kernel component or device driver has requested a timer resolution smaller than the platform maximum timer resolution. Requested Period 10000 Request Count 2 Platform Timer Resolution:Outstanding Timer Request A program or service has requested a timer resolution smaller than the platform maximum timer resolution. Requested Period 10000 Requesting Process ID 8672 Requesting Process Path \Device\HarddiskVolume3\Program Files (x86)\Mozilla Firefox\firefox.exe Platform Timer Resolution:Outstanding Timer Request A program or service has requested a timer resolution smaller than the platform maximum timer resolution. Requested Period 100000 Requesting Process ID 1212 Requesting Process Path \Device\HarddiskVolume3\Windows\System32\svchost.exe Power Policy:802.11 Radio Power Policy is Maximum Performance (Plugged In) The current power policy for 802.11-compatible wireless network adapters is not configured to use low-power modes. CPU Utilization:Individual process with significant processor utilization. This process is responsible for a significant portion of the total processor utilization recorded during the trace. Process Name audiodg.exe PID 1304 Average Utilization (%) 4.73 Module Average Module Utilization (%) \Device\HarddiskVolume3\Windows\System32\msvcrt.dll 1.88 \Device\HarddiskVolume3\Windows\System32\MaxxAudioAPO5064.dll 1.77 \Device\HarddiskVolume3\Windows\System32\AudioEng.dll 0.80 CPU Utilization:Individual process with significant processor utilization. This process is responsible for a significant portion of the total processor utilization recorded during the trace. Process Name thunderbird.exe PID 6036 Average Utilization (%) 0.35 Module Average Module Utilization (%) \Device\HarddiskVolume3\Program Files (x86)\Mozilla Thunderbird\xul.dll 0.16 \Device\HarddiskVolume3\Program Files (x86)\Mozilla Thunderbird\mozjs.dll 0.05 \SystemRoot\System32\win32k.sys 0.03 CPU Utilization:Individual process with significant processor utilization. This process is responsible for a significant portion of the total processor utilization recorded during the trace. Process Name dwm.exe PID 1340 Average Utilization (%) 0.25 Module Average Module Utilization (%) \Device\HarddiskVolume3\Windows\System32\dwmcore.dll 0.08 \Device\HarddiskVolume3\Windows\System32\nvwgf2umx.dll 0.05 \SystemRoot\system32\ntoskrnl.exe 0.03 CPU Utilization:Individual process with significant processor utilization. This process is responsible for a significant portion of the total processor utilization recorded during the trace.

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  • SQL SERVER – SSMS: Top Object and Batch Execution Statistics Reports

    - by Pinal Dave
    The month of June till mid of July has been the fever of sports. First, it was Wimbledon Tennis and then the Soccer fever was all over. There is a huge number of fan followers and it is great to see the level at which people sometimes worship these sports. Being an Indian, I cannot forget to mention the India tour of England later part of July. Following these sports and as the events unfold to the finals, there are a number of ways the statisticians can slice and dice the numbers. Cue from soccer I can surely say there is a team performance against another team and then there is individual member fairs against a particular opponent. Such statistics give us a fair idea to how a team in the past or in the recent past has fared against each other, head-to-head stats during World cup and during other neutral venue games. All these statistics are just pointers. In reality, they don’t reflect the calibre of the current team because the individuals who performed in each of these games are totally different (Typical example being the Brazil Vs Germany semi-final match in FIFA 2014). So at times these numbers are misleading. It is worth investigating and get the next level information. Similar to these statistics, SQL Server Management studio is also equipped with a number of reports like a) Object Execution Statistics report and b) Batch Execution Statistics reports. As discussed in the example, the team scorecard is like the Batch Execution statistics and individual stats is like Object Level statistics. The analogy can be taken only this far, trust me there is no correlation between SQL Server functioning and playing sports – It is like I think about diet all the time except while I am eating. Performance – Batch Execution Statistics Let us view the first report which can be invoked from Server Node -> Reports -> Standard Reports -> Performance – Batch Execution Statistics. Most of the values that are displayed in this report come from the DMVs sys.dm_exec_query_stats and sys.dm_exec_sql_text(sql_handle). This report contains 3 distinctive sections as outline below.   Section 1: This is a graphical bar graph representation of Average CPU Time, Average Logical reads and Average Logical Writes for individual batches. The Batch numbers are indicative and the details of individual batch is available in section 3 (detailed below). Section 2: This represents a Pie chart of all the batches by Total CPU Time (%) and Total Logical IO (%) by batches. This graphical representation tells us which batch consumed the highest CPU and IO since the server started, provided plan is available in the cache. Section 3: This is the section where we can find the SQL statements associated with each of the batch Numbers. This also gives us the details of Average CPU / Average Logical Reads and Average Logical Writes in the system for the given batch with object details. Expanding the rows, I will also get the # Executions and # Plans Generated for each of the queries. Performance – Object Execution Statistics The second report worth a look is Object Execution statistics. This is a similar report as the previous but turned on its head by SQL Server Objects. The report has 3 areas to look as above. Section 1 gives the Average CPU, Average IO bar charts for specific objects. The section 2 is a graphical representation of Total CPU by objects and Total Logical IO by objects. The final section details the various objects in detail with the Avg. CPU, IO and other details which are self-explanatory. At a high-level both the reports are based on queries on two DMVs (sys.dm_exec_query_stats and sys.dm_exec_sql_text) and it builds values based on calculations using columns in them: SELECT * FROM    sys.dm_exec_query_stats s1 CROSS APPLY sys.dm_exec_sql_text(sql_handle) AS s2 WHERE   s2.objectid IS NOT NULL AND DB_NAME(s2.dbid) IS NOT NULL ORDER BY  s1.sql_handle; This is one of the simplest form of reports and in future blogs we will look at more complex reports. I truly hope that these reports can give DBAs and developers a hint about what is the possible performance tuning area. As a closing point I must emphasize that all above reports pick up data from the plan cache. If a particular query has consumed a lot of resources earlier, but plan is not available in the cache, none of the above reports would show that bad query. Reference: Pinal Dave (http://blog.sqlauthority.com)Filed under: SQL, SQL Authority, SQL Query, SQL Server, SQL Server Management Studio, SQL Tips and Tricks, T SQL Tagged: SQL Reports

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  • Short Season, Long Models - Dealing with Seasonality

    - by Michel Adar
    Accounting for seasonality presents a challenge for the accurate prediction of events. Examples of seasonality include: ·         Boxed cosmetics sets are more popular during Christmas. They sell at other times of the year, but they rise higher than other products during the holiday season. ·         Interest in a promotion rises around the time advertising on TV airs ·         Interest in the Sports section of a newspaper rises when there is a big football match There are several ways of dealing with seasonality in predictions. Time Windows If the length of the model time windows is short enough relative to the seasonality effect, then the models will see only seasonal data, and therefore will be accurate in their predictions. For example, a model with a weekly time window may be quick enough to adapt during the holiday season. In order for time windows to be useful in dealing with seasonality it is necessary that: The time window is significantly shorter than the season changes There is enough volume of data in the short time windows to produce an accurate model An additional issue to consider is that sometimes the season may have an abrupt end, for example the day after Christmas. Input Data If available, it is possible to include the seasonality effect in the input data for the model. For example the customer record may include a list of all the promotions advertised in the area of residence. A model with these inputs will have to learn the effect of the input. It is possible to learn it specific to the promotion – and by the way learn about inter-promotion cross feeding – by leaving the list of ads as it is; or it is possible to learn the general effect by having a flag that indicates if the promotion is being advertised. For inputs to properly represent the effect in the model it is necessary that: The model sees enough events with the input present. For example, by virtue of the model lifetime (or time window) being long enough to see several “seasons” or by having enough volume for the model to learn seasonality quickly. Proportional Frequency If we create a model that ignores seasonality it is possible to use that model to predict how the specific person likelihood differs from average. If we have a divergence from average then we can transfer that divergence proportionally to the observed frequency at the time of the prediction. Definitions: Ft = trailing average frequency of the event at time “t”. The average is done over a suitable period of to achieve a statistical significant estimate. F = average frequency as seen by the model. L = likelihood predicted by the model for a specific person Lt = predicted likelihood proportionally scaled for time “t”. If the model is good at predicting deviation from average, and this holds over the interesting range of seasons, then we can estimate Lt as: Lt = L * (Ft / F) Considering that: L = (L – F) + F Substituting we get: Lt = [(L – F) + F] * (Ft / F) Which simplifies to: (i)                  Lt = (L – F) * (Ft / F)  +  Ft This latest expression can be understood as “The adjusted likelihood at time t is the average likelihood at time t plus the effect from the model, which is calculated as the difference from average time the proportion of frequencies”. The formula above assumes a linear translation of the proportion. It is possible to generalize the formula using a factor which we will call “a” as follows: (ii)                Lt = (L – F) * (Ft / F) * a  +  Ft It is also possible to use a formula that does not scale the difference, like: (iii)               Lt = (L – F) * a  +  Ft While these formulas seem reasonable, they should be taken as hypothesis to be proven with empirical data. A theoretical analysis provides the following insights: The Cumulative Gains Chart (lift) should stay the same, as at any given time the order of the likelihood for different customers is preserved If F is equal to Ft then the formula reverts to “L” If (Ft = 0) then Lt in (i) and (ii) is 0 It is possible for Lt to be above 1. If it is desired to avoid going over 1, for relatively high base frequencies it is possible to use a relative interpretation of the multiplicative factor. For example, if we say that Y is twice as likely as X, then we can interpret this sentence as: If X is 3%, then Y is 6% If X is 11%, then Y is 22% If X is 70%, then Y is 85% - in this case we interpret “twice as likely” as “half as likely to not happen” Applying this reasoning to (i) for example we would get: If (L < F) or (Ft < (1 / ((L/F) + 1)) Then  Lt = L * (Ft / F) Else Lt = 1 – (F / L) + (Ft * F / L)  

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  • KISS principle applied to programming language design?

    - by Giorgio
    KISS ("keep it simple stupid", see e.g. here) is an important principle in software development, even though it apparently originated in engineering. Citing from the wikipedia article: The principle is best exemplified by the story of Johnson handing a team of design engineers a handful of tools, with the challenge that the jet aircraft they were designing must be repairable by an average mechanic in the field under combat conditions with only these tools. Hence, the 'stupid' refers to the relationship between the way things break and the sophistication available to fix them. If I wanted to apply this to the field of software development I would replace "jet aircraft" with "piece of software", "average mechanic" with "average developer" and "under combat conditions" with "under the expected software development / maintenance conditions" (deadlines, time constraints, meetings / interruptions, available tools, and so on). So it is a commonly accepted idea that one should try to keep a piece of software simple stupid so that it easy to work on it later. But can the KISS principle be applied also to programming language design? Do you know of any programming languages that have been designed specifically with this principle in mind, i.e. to "allow an average programmer under average working conditions to write and maintain as much code as possible with the least cognitive effort"? If you cite any specific language it would be great if you could add a link to some document in which this intent is clearly expressed by the language designers. In any case, I would be interested to learn about the designers' (documented) intentions rather than your personal opinion about a particular programming language.

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  • IBasic Accumulator

    - by Tara
    I am trying to do an accumulator in IBasic for a college assignment and I have the general stuff down but I cannot get it to accumulate. The code is below. My question is how do I get it to accumulate and pass to the different module. I'm trying to calculate how many right answers the user gets. Also, i need to calculate the percentage of right answers. so if the user gets 9 out of 10 right theyed answer 90% right. 'October 15, 2009 ' 'Lab 7.5 Programming Challenge 1 - Average Test Scores ' 'This is a dice game ' declare main() declare inputName(name:string) declare getAnswer(num1:int, num2:int) declare getResult(num1:int, num2:int, answer:int) declare avgRight(getRight:int) declare printInfo(name:string, getRight:int, averege:float) openconsole main() do:until inkey$<>"" closeconsole end sub main() def name:string def num1, num2, answer, total, getRight:int def averege:float inputName (name) getRight = 0 For counter = 1 to 10 getRight = getAnswer(num1, num2) getRight = getRight + 1 next counter average = avgRight (getRight) printInfo(Name, getRight, average) end sub inputName (name) Input "Please enter your name: " ,name return sub getAnswer(num1, num2) def answer, getRight:int num1 = rnd (10) + 1 num2 = rnd (10) + 1 Print num1, "+ " ,num2 Input "What is the answer to the equation? " ,answer getRight = getResult(num1, num2, answer) return getRight sub getResult(num1, num2, answer) def getRight:int if answer = num1 + num2 getRight = 1 else getRight = 0 endif return getRight sub avgRight(getRight) def average:float average = getRight / 10 return average sub printInfo(name, getRight, averege) Print "The students name is: " ,name Print "The number right is: " ,getRight Print Using ("&##.#&", "The average right is " ,averege * 100, "%") return

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  • c# syntax and Linq, IQueryable

    - by hdiver
    Hello. This is a question about the SYNTAX of c# and NOT about how we call/use IQueryable Can someone please explain to me: We have this declaration (System.Linq): public static double Average<TSource>(this IQueryable<TSource> source, Expression<Func<TSource, int>> selector) and to call the Average double average = fruits.AsQueryable().Average(s => s.Length); I understand how to call the Average and all the similar static method of IQueryable but I don’t understand the syntax of the declaration. public static double Average<TSource>(this IQueryable<TSource> source, Expression<Func<TSource, int>> selector) What does the <TSource> mean in Average<TSource>( and also the this IQueryable<TSource> source. since only one parameter passes when we call it and the actual lamda expression (s => s.Length); Thanks in advance.

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  • Excel 2007 pivot table does not aggregate properly

    - by Patrick
    I am using a an excel pivot table to summarize some data and just found a problem. The problem deals with how aggregate values are calculated. Let's say I have a table of data with three columns: Name, Date, Value. If I create a table where Name and then Date are used as Row Labels and Value is the aggregate value, ie Average. The pivot table will look something like this: +John .3450 5/14/2010 1.234 5/15/2010 3.450 5/16/2010 -3.25 What I think should be happening here is that the values for each date are averaged and then those values are averaged to come up with the value in the same row as the Name, John. But that is not what it does. It takes the average for each date, which it shows across from the date, but then instead of taking the average of those numbers, it actually uses the raw data and computes the average for all of John's values. It should show the average of the daily averages to correspond with the tree hierarchy, but instead just shows me the average for all of John's values. It essential will only aggregate at one level, but visually creates sub levels that it is not using. Does anyone know how to change this or understand by what logic this makes sense? Why would I create any sub groupings if I cannot compute aggregates on them?

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  • iPhone metering problems

    - by Eric Christensen
    When I'm recording an AVAudioRecorder object, I repeat a chunk of code via an NSTimer that includes: [soundrecording updateMeters]; NSLog(@"channel 0 average:%f, peak:%f",[soundrecording averagePowerForChannel:0],[soundrecording peakPowerForChannel:0]); NSLog(@"channel 1 average:%f, peak:%f",[soundrecording averagePowerForChannel:1],[soundrecording peakPowerForChannel:1]); When I'm recording a mono file, the peak power for channel 0 is just what you'd expect, a float from -160 to 0. But average power for channel 0 is always zero. (And, of course, the values for channel 1 are both zero.) When I'm recording a stereo file, both the average and peak values for both channels are as expected. Any thoughts on why, when recording a mono file, the average value for channel 0 isn't returning correctly, even though the peak is? Thanks!

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  • TFS: how to change custom field allowed values

    - by Budda
    I have my custom field of string type with predefined set of values: "1 - Cool", "2 - Good", "3 - Average",... Now it is necessary to remove "2 - Good" value and rename "3 - Average" into "2 - Average". I see easy solution: just delete 2 existing "2 - Good" and "3 - Average" and create the new "2 - Average". Question: Q1: What will happens with issues that contain values to be deleted? Probably, system won't accept such work item change? Q2: What is a good approach to do what I need? Thanks a lot! Any thoughts are welcome!

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  • Social Targeting: Who Do You Think You’re Talking To?

    - by Mike Stiles
    Are you the kind of person that tries to sell Clay Aiken CD’s outside Warped Tour concert venues? Then you don’t think a lot about targeting your messages to the right audience. For your communication to pack the biggest punch it can, you need to know where to throw it. And a recent study on social demographics might help you see social targeting in a whole new light. Pingdom’s annual survey of social network demographics shows us first of all that there is no gender difference between Facebook and Twitter. Both are 40% male, 60% female. If you’re looking for locales that lean heavily male, that would be Slashdot, Hacker News and Stack Overflow. The women are dominating Pinterest, Goodreads and Blogger. So what about age? 55% of tweeters are 35 and up, compared with 63% at Pinterest, 65% at Facebook and 70% at LinkedIn. As you can tell, LinkedIn supports the oldest user base, with the average member being 44. The average age at Facebook is 51, and it’s 37 at Twitter. If you want to aim younger, have you met Orkut yet? 83% of its users are under 35. The next sites in order as great candidates for the young market are deviantART, Hacker News, Hi5, Github, and Reddit. I know, other than Reddit, many of you might be saying “who?” But the list could offer an opportunity to look at the vast social world beyond Facebook, Twitter and Google+ (which Pingdom did not include in the survey at all due to a lack of accessible data). As for the average age of social users overall: 26% are 25-34 25% are 35-44 19% are 45-54 16% are 18-24  6% are 55-64  5% are 0-17  and 2% are 65 Now you know where you stand on the “cutting edge” scale for a person your age. You’re welcome. Certainly such demographics are a moving target and need to be watched and reassessed on a regular basis to make sure you’re moving in step with the people you want to talk to. For instance, since Pingdom’s survey last year, the age of the average Facebook user has gone up 2 years, while the age of the average Twitter user has gone down 2 years. With the targeting and analytics tools available on today’s social management platforms, there’s little need to market in the dark. Otherwise, good luck with those Clay CD’s.

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  • Math.max and Math.min outputting highest and lowest values allowed

    - by user1696162
    so I'm trying to make a program that will output the sum, average, and smallest and largest values. I have everything basically figured out except the smallest and largest values are outputting 2147483647 and -2147483647, which I believe are the absolute smallest and largest values that Java will compute. Anyway, I want to compute the numbers that a user enters, so this obviously isn't correct. Here is my class. I assume something is going wrong in the addValue method. public class DataSet { private int sum; private int count; private int largest; private int smallest; private double average; public DataSet() { sum = 0; count = 0; largest = Integer.MAX_VALUE; smallest = Integer.MIN_VALUE; average = 0; } public void addValue(int x) { count++; sum = sum + x; largest = Math.max(x, largest); smallest = Math.min(x, smallest); } public int getSum() { return sum; } public double getAverage() { average = sum / count; return average; } public int getCount() { return count; } public int getLargest() { return largest; } public int getSmallest() { return smallest; } } And here is my tester class for this project: public class DataSetTester { public static void main(String[] arg) { DataSet ds = new DataSet(); ds.addValue(13); ds.addValue(-2); ds.addValue(3); ds.addValue(0); System.out.println("Count: " + ds.getCount()); System.out.println("Sum: " + ds.getSum()); System.out.println("Average: " + ds.getAverage()); System.out.println("Smallest: " + ds.getSmallest()); System.out.println("Largest: " + ds.getLargest()); } } Everything outputs correctly (count, sum, average) except the smallest and largest numbers. If anyone could point me in the right direction of what I'm doing wrong, that would be great. Thanks.

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  • Cacti rrdtool graph with no values, NaN in .rrd file

    - by beicha
    Cacti 0.8.7h, with latest RRDTool. I successfully graphed CPU/Interface traffic, but got blank graphs like when it comes to Memory/Temperature monitoring. The problem/bug is actually archived here, however this post didn't help. I can snmpget the value, e.g SNMPv2-SMI::enterprises.9.9.13.1.3.1.3.1 = Gauge32: 26. However, the problem seems to exist in storing these values to the .rrd file. Output of rrdtool info powerbseipv6testrouter_cisco_memfree_40.rrd AVERAGE cisco_memfree as below: filename = "powerbseipv6testrouter_cisco_memfree_40.rrd" rrd_version = "0003" step = 300 last_update = 1321867894 ds[cisco_memfree].type = "GAUGE" ds[cisco_memfree].minimal_heartbeat = 600 ds[cisco_memfree].min = 0.0000000000e+00 ds[cisco_memfree].max = 1.0000000000e+12 ds[cisco_memfree].last_ds = "UNKN" ds[cisco_memfree].value = 0.0000000000e+00 ds[cisco_memfree].unknown_sec = 94 rra[0].cf = "AVERAGE" rra[0].rows = 600 rra[0].pdp_per_row = 1 rra[0].xff = 5.0000000000e-01 rra[0].cdp_prep[0].value = NaN rra[0].cdp_prep[0].unknown_datapoints = 0 rra[1].cf = "AVERAGE" rra[1].rows = 700 rra[1].pdp_per_row = 6 rra[1].xff = 5.0000000000e-01 rra[1].cdp_prep[0].value = NaN rra[1].cdp_prep[0].unknown_datapoints = 0 rra[2].cf = "AVERAGE" rra[2].rows = 775 rra[2].pdp_per_row = 24 rra[2].xff = 5.0000000000e-01 rra[2].cdp_prep[0].value = NaN rra[2].cdp_prep[0].unknown_datapoints = 18 rra[3].cf = "AVERAGE" rra[3].rows = 797 rra[3].pdp_per_row = 288 rra[3].xff = 5.0000000000e-01 rra[3].cdp_prep[0].value = NaN rra[3].cdp_prep[0].unknown_datapoints = 114 rra[4].cf = "MAX" rra[4].rows = 600 rra[4].pdp_per_row = 1 rra[4].xff = 5.0000000000e-01 rra[4].cdp_prep[0].value = NaN rra[4].cdp_prep[0].unknown_datapoints = 0 rra[5].cf = "MAX" rra[5].rows = 700 rra[5].pdp_per_row = 6 rra[5].xff = 5.0000000000e-01 rra[5].cdp_prep[0].value = NaN rra[5].cdp_prep[0].unknown_datapoints = 0 rra[6].cf = "MAX" rra[6].rows = 775 rra[6].pdp_per_row = 24 rra[6].xff = 5.0000000000e-01 rra[6].cdp_prep[0].value = NaN rra[6].cdp_prep[0].unknown_datapoints = 18 rra[7].cf = "MAX" rra[7].rows = 797 rra[7].pdp_per_row = 288 rra[7].xff = 5.0000000000e-01 rra[7].cdp_prep[0].value = NaN rra[7].cdp_prep[0].unknown_datapoints = 114

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  • How to populate RRD database with CPU and MEM usage data?

    - by Tomaszs
    I have a Lighttpd server (on Centos) and would like to display 4 graphs: lighttpd traffic, lighttpd requests per second, CPU usage and MEM usage. I've set place for rrd database for lighttpd config like this: rrdtool.binary = "/usr/bin/rrdtool" rrdtool.db-name = "/var/www/lighttpd.rrd" And put into my WWW cgi-bin sh file that gets data from lighttpd RRD file and creates graphs of traffic and requests per second like this: #!/bin/sh RRDTOOL=/usr/bin/rrdtool OUTDIR=//var/www/graphs INFILE=/var/www/lighttpd.rrd OUTPRE=lighttpd-traffic WIDTH=400 HEIGHT=100 DISP="-v bytes --title TrafficWebserver \ DEF:binraw=$INFILE:InOctets:AVERAGE \ DEF:binmaxraw=$INFILE:InOctets:MAX \ DEF:binminraw=$INFILE:InOctets:MIN \ DEF:bout=$INFILE:OutOctets:AVERAGE \ DEF:boutmax=$INFILE:OutOctets:MAX \ DEF:boutmin=$INFILE:OutOctets:MIN \ CDEF:bin=binraw,-1,* \ CDEF:binmax=binmaxraw,-1,* \ CDEF:binmin=binminraw,-1,* \ CDEF:binminmax=binmaxraw,binminraw,- \ CDEF:boutminmax=boutmax,boutmin,- \ AREA:binmin#ffffff: \ STACK:binmax#f00000: \ LINE1:binmin#a0a0a0: \ LINE1:binmax#a0a0a0: \ LINE2:bin#efb71d:incoming \ GPRINT:bin:MIN:%.2lf \ GPRINT:bin:AVERAGE:%.2lf \ GPRINT:bin:MAX:%.2lf \ AREA:boutmin#ffffff: \ STACK:boutminmax#00f000: \ LINE1:boutmin#a0a0a0: \ LINE1:boutmax#a0a0a0: \ LINE2:bout#a0a735:outgoing \ GPRINT:bout:MIN:%.2lf \ GPRINT:bout:AVERAGE:%.2lf \ GPRINT:bout:MAX:%.2lf \ " $RRDTOOL graph $OUTDIR/$OUTPRE-hour.png -a PNG --start -14400 $DISP -w $WIDTH -h $HEIGHT $RRDTOOL graph $OUTDIR/$OUTPRE-day.png -a PNG --start -86400 $DISP -w $WIDTH -h $HEIGHT $RRDTOOL graph $OUTDIR/$OUTPRE-month.png -a PNG --start -2592000 $DISP -w $WIDTH -h $HEIGHT OUTPRE=lighttpd-requests DISP="-v req --title RequestsperSecond -u 1 \ DEF:req=$INFILE:Requests:AVERAGE \ DEF:reqmax=$INFILE:Requests:MAX \ DEF:reqmin=$INFILE:Requests:MIN \ CDEF:reqminmax=reqmax,reqmin,- \ AREA:reqmin#ffffff: \ STACK:reqminmax#00f000: \ LINE1:reqmin#a0a0a0: \ LINE1:reqmax#a0a0a0: \ LINE2:req#00a735:requests" $RRDTOOL graph $OUTDIR/$OUTPRE-hour.png -a PNG --start -14400 $DISP -w $WIDTH -h $HEIGHT $RRDTOOL graph $OUTDIR/$OUTPRE-day.png -a PNG --start -86400 $DISP -w $WIDTH -h $HEIGHT $RRDTOOL graph $OUTDIR/$OUTPRE-month.png -a PNG --start -2592000 $DISP -w $WIDTH -h $HEIGHT Basically it's not my script, i get it from somewhere from the internet. Now i would like to do the same for CPU usage and MEM usage. I don't like to use any additional packages! As you can see lighttpd populates lighttpd.rrd file with traffic data and requests per second. Now i would like to the system to populate second rrd file with CPU and MEM usage, so i can add to sh file code to generate graphs for this data. How can I populate RRD file with CPU and MEM usage data? Please, NO THIRD-PARTY tools !

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  • Does Windows performance degrade past a certain level of CPU utilization?

    - by Mike Taylor
    Is there a recommended average CPU threshold in running Windows boxes based on experience in other shops? Background: We are running with Windows Server 2003 32-bit OS. Servers are handling a major enterprise-level web application suite with a high frequency of small transactions mixed in with much larger transactions - overall average is 13ms. Our average overall CPU utilization of the Windows servers are ~60% during prime-shift. And we question at what level does the Windows OS begin to shimmy on the CPU scheduling road? Thanks.

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  • How to calculate unweighted averages in Excel PivotTable?

    - by yonatron
    I often make PivotTables in which each row contains a number of per-person average measures. I then want to look at the unweighted column average for each measure, and usually make some kind of chart from these. Because my individual cells are often averaged from different numbers of data points, the Grand Total row ends up being a weighted average, which I’m not interested in. So I usually make my own average row a few rows above the table to use for my charts. That’s not too much work, but there’s another problem. I often add a few more people’s worth of data to the PivotTables’ source, then refresh the tables. This means my average row needs to be updated to encompass more rows from the PivotTable. Not a huge deal with one table, but when I have lots of them across lots of sheets, I have to do find/replace on a whole bunch of formulas. So: is there a way to automatically get unweighted column averages in a PivotTable, such that when the table is refreshed, the averages don’t change locations and encompass the newly added (or removed) data Thanks

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  • Grep all files in a directory and print matches with file name

    - by javanix
    I have a list of log files that I create as part of a video encoding script that I wrote. I would like to search all of them and print out certain statistics from the encode - how fast they were encoded, what settings were used, etc. I can search for the average framerate in one file via this 1 liner: cat ${filename} | grep average which outputs: work: average encoding speed for job is 23.211176 fps and search for the ratefactor: cat ${filename} | grep RF I would like to search all files in the directory and print off one, or prefereably both pieces of information along with the filename. Is there any way I can use find or grep to get this in a one-liner, or do I need to write a script? I would like output like this: /home/javanix/filename.log <RF line> <average line> I would like this to either work using FreeBSD 9 or Ubuntu 12.04.

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  • Is there a system monitoring tool that lets me write complex queries against the data?

    - by benhsu
    I am looking for a system stat collection tool that will let me write queries against the data collected. I am planning to answer questions like: what is the average load, over the last 30 days, on this machine between 9AM and 5PM, as opposed to at night what was the average disk io on these 10 machines yesterday what was the average daytime memory usage on these 10 machines last week, as opposed to 2 weeks ago Has anyone done this with, say, collectd or graphite?

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  • How to calculate unweighted averages in Excel PivotTable?

    - by yonatron
    I often make PivotTables in which each row contains a number of per-person average measures. I then want to look at the unweighted column average for each measure, and usually make some kind of chart from these. Because my individual cells are often averaged from different numbers of data points, the Grand Total row ends up being a weighted average, which I’m not interested in. So I usually make my own average row a few rows above the table to use for my charts. That’s not too much work, but there’s another problem. I often add a few more people’s worth of data to the PivotTables’ source, then refresh the tables. This means my average row needs to be updated to encompass more rows from the PivotTable. Not a huge deal with one table, but when I have lots of them across lots of sheets, I have to do find/replace on a whole bunch of formulas. So: is there a way to automatically get unweighted column averages in a PivotTable, such that when the table is refreshed, the averages don’t change locations and encompass the newly added (or removed) data Thanks

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  • what is the main cause of 500 internal server error? [closed]

    - by Usman
    I want to know that I have hosted with a hosting company . My website gives "500 Internal server error many times" I have following Web server statistics :- Web Server Statistics Successful requests: 127,310 (7,504) Average successful requests per day: 814 (1,071) Successful requests for pages: 24,949 (1,309) Average successful requests for pages per day: 159 (186) Failed requests: 3,499 (58) Redirected requests: 10,091 (114) Distinct files requested: 5,791 (556) Distinct hosts served: 5,107 (330) Data transferred: 4.28 gigabytes (190.56 megabytes) Average data transferred per day: 28.03 megabytes (27.22 megabytes) Can you tell me my server condition by seeing this or i have to give another details. Thanks in advance

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  • Why mysql 5.5 slower than 5.1 (linux,using mysqlslap)

    - by Zenofo
    my.cnf (5.5 and 5.1 is the same) : back_log=200 max_connections=512 max_connect_errors=999999 key_buffer=512M max_allowed_packet=8M table_cache=512 sort_buffer=8M read_buffer_size=8M thread_cache=8 thread_concurrency=4 myisam_sort_buffer_size=128M interactive_timeout=28800 wait_timeout=7200 mysql 5.5: ..mysql5.5/bin/mysqlslap -a --concurrency=10 --number-of-queries 5000 --iterations=5 -S /tmp/mysql_5.5.sock --engine=innodb Benchmark Running for engine innodb Average number of seconds to run all queries: 15.156 seconds Minimum number of seconds to run all queries: 15.031 seconds Maximum number of seconds to run all queries: 15.296 seconds Number of clients running queries: 10 Average number of queries per client: 500 mysql5.1: ..mysql5.5/bin/mysqlslap -a --concurrency=10 --number-of-queries 5000 --iterations=5 -S /tmp/mysql_5.1.sock --engine=innodb Benchmark Running for engine innodb Average number of seconds to run all queries: 13.252 seconds Minimum number of seconds to run all queries: 13.019 seconds Maximum number of seconds to run all queries: 13.480 seconds Number of clients running queries: 10 Average number of queries per client: 500 Why mysql 5.5 slower than 5.1 ? BTW:I'm tried mysql5.5/bin/mysqlslap and mysql5.1/bin/mysqlslap,result is the same

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  • Difficulty analyzing text from a file

    - by Nikko
    I'm running into a rather amusing error with my output on this lab and I was wondering if any of you might be able to hint at where my problem lies. The goal is find the high, low, average, sum of the record, and output original record. I started with a rather basic program to solve for one record and when I achieved this I expanded the program to work with the entire text file. Initially the program would correctly output: 346 130 982 90 656 117 595 High# Low# Sum# Average# When I expanded it to work for the entire record my output stopped working how I had wanted it to. 0 0 0 0 0 0 0 High: 0 Low: 0 Sum: 0 Average: 0 0 0 0 0 0 0 0 High: 0 Low: 0 Sum: 0 Average: 0 etc... I cant quite figure out why my ifstream just completely stopped bothering to input the values from file. I'll go take a walk and take another crack at it. If that doesn't work I'll be back here to check for any responses =) Thank you! #include <iostream> #include <fstream> #include <iomanip> #include <string> using namespace std; int main() { int num; int high = 0; int low = 1000; double average = 0; double sum = 0; int numcount = 0; int lines = 1; char endoline; ifstream inData; ofstream outData; inData.open("c:\\Users\\Nikko\\Desktop\\record5ain.txt"); outData.open("c:\\Users\\Nikko\\Desktop\\record5aout.txt"); if(!inData) //Reminds me to change path names when working on different computers. { cout << "Could not open file, program will exit" << endl; exit(1); } while(inData.get(endoline)) { if(endoline == '\n') lines++; } for(int A = 0; A < lines; A++) { for(int B = 0; B < 7; B++) { while(inData >> num) inData >> num; numcount++; sum += num; if(num < low) low = num; if(num > high) high = num; average = sum / numcount; outData << num << '\t'; } outData << "High: " << high << " " << "Low: " << low << " " << "Sum: " << sum << " " << "Average: " << average << endl; } inData.close(); outData.close(); return(0); }

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  • TraceTune: Larger Files and History

    - by Bill Graziano
    I updated TraceTune over the weekend.  I increased the trace file upload size to 20MB.  We’ve processed over half a million rows of trace data so far and I’m confident this won’t kill the server. I added average CPU and average disk reads to the screen that lists the SQL statements in a trace file. I only added these two.  I’m pretty sure average writes isn’t that import.  I’m still thinking about average duration.  I’m trying to balance showing you what you need with a clean, simple interface.  Plus I have a way to see the averages that I describe further down. TraceTune now keeps the last 10 files that you’ve uploaded and will give you some basic details about each file. I think the last change I made is the most interesting. For each SQL statement, I show the history of that statement. You’ll see each trace file where this statement was found.  It will list the averages for CPU, reads, writes and duration.  This will quickly show you if you’re improving the performance of that query.  In my screen shot above you can that even though the execution counts are very different the averages are consistent. If you want to see what queries are consuming the most resources on your server give TraceTune a try.

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