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  • using nginx with proxy_pass on a subdomain

    - by marcus3006
    a have a rails app that should listen on the subdomain redmine.example.com (using proxy_pass). all other requests for *.example.com should just redirect to a normal index.html. Here is my configuration: server { server_name www.example.com example.com; root /home/deploy/static/example; } upstream redmine { server unix:/tmp/redmine.socket fail_timeout=0; } server { # you could put a list of other domain names this application answers server_name redmine.example.com; root /home/deploy/rails/redmine/public; access_log /var/log/nginx/redmine_access.log; rewrite_log on; location * { proxy_pass http://redmine; } location ~ ^/(assets)/ { root /home/deploy/rails/redmine/public; gzip_static on; # to serve pre-gzipped version expires max; add_header Cache-Control public; } } anyone knows what's going wrong here? requests to example.com and www.example.com are handled correctly. when i try to acces redmine.example.com = "couldn't resolve host"

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  • How do NTP Servers Manage to Stay so Accurate?

    - by Akemi Iwaya
    Many of us have had the occasional problem with our computers and other devices retaining accurate time settings, but a quick sync with an NTP server makes all well again. But if our own devices can lose accuracy, how do NTP servers manage to stay so accurate? Today’s Question & Answer session comes to us courtesy of SuperUser—a subdivision of Stack Exchange, a community-driven grouping of Q&A web sites. Photo courtesy of LEOL30 (Flickr). The Question SuperUser reader Frank Thornton wants to know how NTP servers are able to remain so accurate: I have noticed that on my servers and other machines, the clocks always drift so that they have to sync up to remain accurate. How do the NTP server clocks keep from drifting and always remain so accurate? How do the NTP servers manage to remain so accurate? The Answer SuperUser contributor Michael Kjorling has the answer for us: NTP servers rely on highly accurate clocks for precision timekeeping. A common time source for central NTP servers are atomic clocks, or GPS receivers (remember that GPS satellites have atomic clocks onboard). These clocks are defined as accurate since they provide a highly exact time reference. There is nothing magical about GPS or atomic clocks that make them tell you exactly what time it is. Because of how atomic clocks work, they are simply very good at, having once been told what time it is, keeping accurate time (since the second is defined in terms of atomic effects). In fact, it is worth noting that GPS time is distinct from the UTC that we are more used to seeing. These atomic clocks are in turn synchronized against International Atomic Time or TAI in order to not only accurately tell the passage of time, but also the time. Once you have an exact time on one system connected to a network like the Internet, it is a matter of protocol engineering enabling transfer of precise times between hosts over an unreliable network. In this regard a Stratum 2 (or farther from the actual time source) NTP server is no different from your desktop system syncing against a set of NTP servers. By the time you have a few accurate times (as obtained from NTP servers or elsewhere) and know the rate of advancement of your local clock (which is easy to determine), you can calculate your local clock’s drift rate relative to the “believed accurate” passage of time. Once locked in, this value can then be used to continuously adjust the local clock to make it report values very close to the accurate passage of time, even if the local real-time clock itself is highly inaccurate. As long as your local clock is not highly erratic, this should allow keeping accurate time for some time even if your upstream time source becomes unavailable for any reason. Some NTP client implementations (probably most ntpd daemon or system service implementations) do this, and others (like ntpd’s companion ntpdate which simply sets the clock once) do not. This is commonly referred to as a drift file because it persistently stores a measure of clock drift, but strictly speaking it does not have to be stored as a specific file on disk. In NTP, Stratum 0 is by definition an accurate time source. Stratum 1 is a system that uses a Stratum 0 time source as its time source (and is thus slightly less accurate than the Stratum 0 time source). Stratum 2 again is slightly less accurate than Stratum 1 because it is syncing its time against the Stratum 1 source and so on. In practice, this loss of accuracy is so small that it is completely negligible in all but the most extreme of cases. Have something to add to the explanation? Sound off in the comments. Want to read more answers from other tech-savvy Stack Exchange users? Check out the full discussion thread here.

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  • How to install chrome autosave extension?

    - by Oguz Can Sertel
    I would like to install chrome autosave plugin on ubuntu. when I try to install it with these steps https://github.com/NV/chrome-devtools-autosave-server , I got some errors... there was not installed node and npm out of box on ubuntu 12.10. So I installed npm and node with these commands. sudo apt-get install npm sudo apt-get install node and I tried to install autosave here is the output: sudo npm install -g autosave npm http GET https://registry.npmjs.org/autosave npm http 304 https://registry.npmjs.org/autosave npm http GET https://registry.npmjs.org/commander npm http 304 https://registry.npmjs.org/commander /usr/local/bin/autosave -> /usr/local/lib/node_modules/autosave/bin/autosave > [email protected] install /usr/local/lib/node_modules/autosave > node ./scripts/install.js npm ERR! error installing [email protected] npm WARN This failure might be due to the use of legacy binary "node" npm WARN For further explanations, please read npm WARN /usr/share/doc/nodejs/README.Debian npm WARN npm ERR! [email protected] install: `node ./scripts/install.js` npm ERR! `sh "-c" "node ./scripts/install.js"` failed with 1 npm ERR! npm ERR! Failed at the [email protected] install script. npm ERR! This is most likely a problem with the autosave package, npm ERR! not with npm itself. npm ERR! Tell the author that this fails on your system: npm ERR! node ./scripts/install.js npm ERR! You can get their info via: npm ERR! npm owner ls autosave npm ERR! There is likely additional logging output above. npm ERR! npm ERR! System Linux 3.5.0-17-generic npm ERR! command "/usr/bin/nodejs" "/usr/bin/npm" "install" "-g" "autosave" npm ERR! cwd /home/naczu npm ERR! node -v v0.6.19 npm ERR! npm -v 1.1.4 npm ERR! code ELIFECYCLE npm ERR! message [email protected] install: `node ./scripts/install.js` npm ERR! message `sh "-c" "node ./scripts/install.js"` failed with 1 npm ERR! errno {} npm ERR! npm ERR! Additional logging details can be found in: npm ERR! /home/naczu/npm-debug.log npm not ok and here is README.debian nodejs for Debian ================= packaged modules ---------------- The global search path for modules is /usr/lib/nodejs Future packages of node modules will use that directory, so it should be used wisely. user modules ------------ Node looks for modules in ./node_modules directory first; please read node#modules documentation carefully for more information. Node does not look for modules in /usr/local/lib/node_modules, where npm put them. Please read npm-link(1) of npm package, to understand how to properly use npm-installed modules in a project. Note that require.paths is not supported in future node versions. See also node(1) for more information about NODE_PATH. nodejs command -------------- The upstream name for the Node.js interpreter command is "node". In Debian the interpreter command has been changed to "nodejs". This was done to prevent a namespace collision: other commands use the same name in their upstreams, such as ax25-node from the "node" package. Scripts calling Node.js as a shell command must be changed to instead use the "nodejs" command.

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  • Fast Data - Big Data's achilles heel

    - by thegreeneman
    At OOW 2013 in Mark Hurd and Thomas Kurian's keynote, they discussed Oracle's Fast Data software solution stack and discussed a number of customers deploying Oracle's Big Data / Fast Data solutions and in particular Oracle's NoSQL Database.  Since that time, there have been a large number of request seeking clarification on how the Fast Data software stack works together to deliver on the promise of real-time Big Data solutions.   Fast Data is a software solution stack that deals with one aspect of Big Data, high velocity.   The software in the Fast Data solution stack involves 3 key pieces and their integration:  Oracle Event Processing, Oracle Coherence, Oracle NoSQL Database.   All three of these technologies address a high throughput, low latency data management requirement.   Oracle Event Processing enables continuous query to filter the Big Data fire hose, enable intelligent chained events to real-time service invocation and augments the data stream to provide Big Data enrichment. Extended SQL syntax allows the definition of sliding windows of time to allow SQL statements to look for triggers on events like breach of weighted moving average on a real-time data stream.    Oracle Coherence is a distributed, grid caching solution which is used to provide very low latency access to cached data when the data is too big to fit into a single process, so it is spread around in a grid architecture to provide memory latency speed access.  It also has some special capabilities to deploy remote behavioral execution for "near data" processing.   The Oracle NoSQL Database is designed to ingest simple key-value data at a controlled throughput rate while providing data redundancy in a cluster to facilitate highly concurrent low latency reads.  For example, when large sensor networks are generating data that need to be captured while analysts are simultaneously extracting the data using range based queries for upstream analytics.  Another example might be storing cookies from user web sessions for ultra low latency user profile management, also leveraging that data using holistic MapReduce operations with your Hadoop cluster to do segmented site analysis.  Understand how NoSQL plays a critical role in Big Data capture and enrichment while simultaneously providing a low latency and scalable data management infrastructure thru clustered, always on, parallel processing in a shared nothing architecture. Learn how easily a NoSQL cluster can be deployed to provide essential services in industry specific Fast Data solutions. See these technologies work together in a demonstration highlighting the salient features of these Fast Data enabling technologies in a location based personalization service. The question then becomes how do these things work together to deliver an end to end Fast Data solution.  The answer is that while different applications will exhibit unique requirements that may drive the need for one or the other of these technologies, often when it comes to Big Data you may need to use them together.   You may have the need for the memory latencies of the Coherence cache, but just have too much data to cache, so you use a combination of Coherence and Oracle NoSQL to handle extreme speed cache overflow and retrieval.   Here is a great reference to how these two technologies are integrated and work together.  Coherence & Oracle NoSQL Database.   On the stream processing side, it is similar as with the Coherence case.  As your sliding windows get larger, holding all the data in the stream can become difficult and out of band data may need to be offloaded into persistent storage.  OEP needs an extreme speed database like Oracle NoSQL Database to help it continue to perform for the real time loop while dealing with persistent spill in the data stream.  Here is a great resource to learn more about how OEP and Oracle NoSQL Database are integrated and work together.  OEP & Oracle NoSQL Database.

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  • Entity Framework 4 Code First and the new() Operator

    - by Eric J.
    I have a rather deep hierarchy of objects that I'm trying to persist with Entity Framework 4, POCO, PI (Persistence Ignorance) and Code First. Suddenly things started working pretty well when it dawned on me to not use the new() operator. As originally written, the objects frequently use new() to create child objects. Instead I'm using my take on the Repository Pattern to create all child objects as needed. For example, given: class Adam { List<Child> children; void AddChildGivenInput(string input) { children.Add(new Child(...)); } } class Child { List<GrandChild> grandchildren; void AddGrandChildGivenInput(string input) { grandchildren.Add(new GrandChild(...)); } } class GrandChild { } ("GivenInput" implies some processing not shown here) I define an AdamRepository like: class AdamRepository { Adam Add() { return objectContext.Create<Adam>(); } Child AddChildGivenInput(Adam adam, string input) { return adam.children.Add(new Child(...)); } GrandChild AddGrandchildGivenInput(Child child, string input) { return child.grandchildren.Add(new GrandChild(...)); } } Now, this works well enough. However, I'm no longer "ignorant" of my persistence mechanism as I have abandoned the new() operator. Additionally, I'm at risk of an anemic domain model since so much logic ends up in the repository rather than in the domain objects. After much adieu, a question: Or rather several questions... Is this pattern required to work with EF 4 Code First? Is there a way to retain use of new() and still work with EF 4 / POCO / Code First? Is there another pattern that would leave logic in the domain object and still work with EF 4 / POCO / Code First? Will this restriction be lifted in later versions of Code First support? Sometimes trying to go the POCO / Persistence Ignorance route feels like swimming upstream, other times it feels like swimming up Niagra Falls.

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  • Cloning git repository from svn repository, results in file-less, remote-branch-less git repo.

    - by Tchalvak
    Working SVN repo I'm starting a git repo to interact with a svn repo. The svn repository is set and working fine, with a single commit of a basic README file in it. Checking it out works fine: tchalvak:~/test/svn-test$ svn checkout --username=myUsernameHere http://www.url.to/project/here/charityweb/ A charityweb/README Checked out revision 1. Failed git-svn clone of svn repo When I try to clone the repository in git, the first step shows no errors... tchalvak:~/test$ git svn clone -s --username=myUserNameHere http://www.url.to/project/here/charityweb/ Initialized empty Git repository in /home/tchalvak/test/charityweb/.git/ Authentication realm: <http://www.url.to/project/here:80> Charity Web Password for 'myUserNameHere': ...but results in a useless folder: tchalvak:~/test$ ls charityweb tchalvak:~/test$ cd charityweb/ tchalvak:~/test/charityweb$ ls tchalvak:~/test/charityweb$ ls -al total 12 drwxr-xr-x 3 tchalvak tchalvak 4096 2010-04-02 13:46 . drwxr-xr-x 4 tchalvak tchalvak 4096 2010-04-02 13:46 .. drwxr-xr-x 8 tchalvak tchalvak 4096 2010-04-02 13:47 .git tchalvak:~/test/charityweb$ git branch -av tchalvak:~/test/charityweb$ git status # On branch master # # Initial commit # nothing to commit (create/copy files and use "git add" to track) tchalvak:~/test/charityweb$ git fetch fatal: Where do you want to fetch from today? tchalvak:~/test/charityweb$ git rebase origin/master fatal: bad revision 'HEAD' fatal: Needed a single revision invalid upstream origin/master tchalvak:~/test/charityweb$ git log fatal: bad default revision 'HEAD' How do I get something I can commit back to? I expect I'm doing something wrong in this process, but what?

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  • To (monkey)patch or not to (monkey)patch, that is the question

    - by gsakkis
    I was talking to a colleague about one rather unexpected/undesired behavior of some package we use. Although there is an easy fix (or at least workaround) on our end without any apparent side effect, he strongly suggested extending the relevant code by hard patching it and posting the patch upstream, hopefully to be accepted at some point in the future. In fact we maintain patches against specific versions of several packages that are applied automatically on each new build. The main argument is that this is the right thing to do, as opposed to an "ugly" workaround or a fragile monkey patch. On the other hand, I favor practicality over purity and my general rule of thumb is that "no patch" "monkey patch" "hard patch", at least for anything other than a (critical) bug fix. So I'm wondering if there is a consensus on when it's better to (hard) patch, monkey patch or just try to work around a third party package that doesn't do exactly what one would like. Does it have mainly to do with the reason for the patch (e.g. fixing a bug, modifying behavior, adding missing feature), the given package (size, complexity, maturity, developer responsiveness), something else or there are no general rules and one should decide on a case-by-case basis ?

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  • Perf4j Not Logging to Separate File

    - by Jehud
    I setup some stop watch calls in my code to measure some code blocks and all the messages are going into my primary log and not into the timing log. The perfStats.log file gets created just fine but all the messages go to the root log which I didn't think was supposed to happen according to the docs I've read. Is there something obvious I'm missing here? Example log4j.xml <!-- This file appender is used to output aggregated performance statistics --> <appender name="fileAppender" class="org.apache.log4j.FileAppender"> <param name="File" value="perfStats.log"/> <layout class="org.apache.log4j.PatternLayout"> <param name="ConversionPattern" value="%m%n"/> </layout> </appender> <!-- Loggers --> <!-- The Perf4J logger. Note that org.perf4j.TimingLogger is the value of the org.perf4j.StopWatch.DEFAULT_LOGGER_NAME constant. Also, note that additivity is set to false, which is usually what is desired - this means that timing statements will only be sent to this logger and NOT to upstream loggers. --> <logger name="org.perf4j.TimingLogger" additivity="false"> <level value="INFO"/> <appender-ref ref="CoalescingStatistics"/> </logger> <root> <priority value="info"/> <appender-ref ref="STDOUT-DEBUG"/> </root>

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  • Online voice chat: Why client-server model vs. peer-to-peer model?

    - by sstallings
    I am adding online voice chat to a Silverlight app. I've been reviewing current apps, services and SDKs found thru online searches and forums. I'm finding that the majority of these implement a client-server (C/S) model and I'm trying to understand why that model versus a peer-to-peer (PTP) model. To me PTP would be preferable because going direct between peers would be more efficient (fewer IP hops and no processing along the way by a server computer) and no need for a server and its costs and dependencies. I found some products offer the ability to switch from PTP to C/S if the PTP proves insufficient. As I thought more about it, I could see that C/S could be better if there are more than two peers involved in a conversation, then the server (supposedly with more bandwidth) could do a better job of relaying each peers outgoing traffic to the multiple other peers. In C/S many-to-many voice chatting, each peer's upstream broadband (which is where the bottleneck inherently is) would only have to carry each item of voice traffic once, then the server would use its superior bandwidth to relay the message to the multiple other peers. But, in a situation with one-on-one voice chatting it seems that PTP would be best. A server would not reduce each of the two peer's bandwidth requirements and would only add unnecessary overhead, dependency and cost. In one-on-one voice chatting: Am I mistaken on anything above? Would peer-to-peer be best? Would a server provide anything of value that could not be provided by a client-only program? Is there anything else that I should be taking into consideration? And lastly, can you recommend any Silverlight PTP or C/S voice chat products? Thanks in advance for any info.

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  • Best way to fork SVN project with Git

    - by Jeremy Thomerson
    I have forked an SVN project using Git because I needed to add features that they didn't want. But at the same time, I wanted to be able to continue pulling in features or fixes that they added to the upstream version down into my fork (where they don't conflict). So, I have my Git project with the following branches: master - the branch I actually build and deploy from feature_* - feature branches where I work or have worked on new things, which I then merge to master when complete vendor-svn - my local-only git-svn branch that allows me to "git svn rebase" from their svn repo vendor - my local branch that i merge vendor-svn into. then i push this (vendor) branch to the public git repo (github) So, my flow is something like this: git checkout vendor-svn git svn rebase git checkout vendor git merge vendor-svn git push origin vendor Now, the question comes here: I need to review each commit that they made (preferably individually since at this point I'm about twenty commits behind them) before merging them into master. I know that I could run git checkout master; git merge vendor, but this would pull in all changes and commit them, without me being able to see if they conflict with what I need. So, what's the best way to do this? Git seems like a great tool for handling forks of projects since you can pull and push from multiple repos - I'm just not experienced with it enough to know the best way of doing this. Here's the original SVN project I'm talking about: https://appkonference.svn.sourceforge.net/svnroot/appkonference My fork is at github.com/jthomerson/AsteriskAudioKonf (sorry - I couldn't make it a link since I'm a new user here)

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  • Using git pull to track a remote branch without merging

    - by J Barlow
    I am using git to track content which is changed by some people and shared "read-only" with others. The "readers" may from time to time need to make a change, but mostly they will not. I want to allow for the git "writers" to rebase pushed branches** if need be, and ensure that the "readers" never accidentally get a merge. That's normally easy enough. git pull origin +master There's one case that seems to cause problems. If a reader makes a local change, the command above will merge. I want pull to be fully automatic if the reader has not made local changes, while if they have made local changes, it should stop and ask for input. I want to track any upstream changes while being careful about merging downstream changes. In a way, I don't really want to pull. I want to track the master branch exactly. ** (I know this is not a best practice, but it seems necessary in our case: we have one main branch that contains most of the work and some topic branches for specific customers with minor changes that need to be isolated. It seems easiest to frequently rebase to keep the topics up to date.)

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  • PF, load balanced gateways, and Squid

    - by Santa
    Hi, So I have a FreeBSD router running PF and Squid, and it has three network interfaces: two connected to upstream providers (em0 and em1 respectively), and one for LAN (re0) that we serve. There is some load balancing configured with PF. Basically, it routes all traffic to ports 1-1024 through one interface (em0) and everything else through the other (em1). Now, I have a Squid proxy also running on the box that transparently redirects any HTTP request from LAN to port 3128 in 127.0.0.1. Since Squid redirects this request to HTTP outside, it should follow the load balancing rule through em0, no? The problem is, when we tested it out (by browsing from a computer in the LAN to http://whatismyip.com, it reports the external IP of the em1 interface! When we turn Squid off, the external IP of em0 is reported, as expected. How do I make Squid behave with the load balancing rule that we have set up? Here's the related settings in /etc/pf.conf that I have: ext_if1="em1" # DSL ext_if2="em0" # T1 int_if="re0" ext_gw1="x.x.x.1" ext_gw2="y.y.y.1" int_addr="10.0.0.1" int_net="10.0.0.0/16" dsl_ports = "1024:65535" t1_ports = "1:1023" ... squid=3128 rdr on $int_if inet proto tcp from $int_net \ to any port 80 -> 127.0.0.1 port $squid pass in quick on $int_if route-to lo0 inet proto tcp \ from $int_net to 127.0.0.1 port $squid keep state ... # load balancing pass in on $int_if route-to ($ext_if1 $ext_gw1) \ proto tcp from $int_net to any port $dsl_ports keep state pass in on $int_if route-to ($ext_if1 $ext_gw1) \ proto udp from $int_net to any port $dsl_ports pass in on $int_if route-to ($ext_if2 $ext_gw2) \ proto tcp from $int_net to any port $t1_ports keep state pass in on $int_if route-to ($ext_if2 $ext_gw2) \ proto udp from $int_net to any port $t1_ports Thanks!

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  • Squid handling of concurrent cache misses

    - by Oliver H-H
    We're using a Squid cache to off-load traffic from our web servers, ie. it's setup as a reverse-proxy responding to inbound requests before they hit our web servers. When we get blitzed with concurrent requests for the same request that's not in the cache, Squid proxies all the requests through to our web ("origin") servers. For us, this behavior isn't ideal: our origin servers gets bogged down trying to fulfill N identical requests concurrently. Instead, we'd like the first request to proxy through to the origin server, the rest of the requests to queue at the Squid layer, and then all be fulfilled by Squid when the origin server has responded to that first request. Does anyone know how to configure Squid to do this? We've read through the documentation multiple times and thoroughly web-searched the topic, but can't figure out how to do it. We use Akamai too and, interestingly, this is its default behavior. (However, Akamai has so many nodes that we still see lots of concurrent requests in certain traffic spike scenarios, even with Akamai's super-node feature enabled.) This behavior is clearly configurable for some other caches, eg. the Ehcache documentation offers the option "Concurrent Cache Misses: A cache miss will cause the filter chain, upstream of the caching filter to be processed. To avoid threads requesting the same key to do useless duplicate work, these threads block behind the first thread." Some folks call this behavior a "blocking cache," since the subsequent concurrent requests block behind the first request until it's fulfilled or timed-out. Thx for looking over my noob question! Oliver

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  • Problem with GWT behind a reverse proxy - either nginx or apache

    - by Don Branson
    I'm having this problem with GWT when it's behind a reverse proxy. The backend app is deployed within a context - let's call it /context. The GWT app works fine when I hit it directly: http://host:8080/context/ I can configure a reverse proxy in front it it. Here's my nginx example: upstream backend { server 127.0.0.1:8080; } ... location / { proxy_pass http://backend/context/; } But, when I run through the reverse proxy, GWT gets confused, saying: 2009-10-04 14:05:41.140:/:WARN: Login: ERROR: The serialization policy file '/C7F5ECA5E3C10B453290DE47D3BE0F0E.gwt.rpc' was not found; did you forget to include it in this deployment? 2009-10-04 14:05:41.140:/:WARN: Login: WARNING: Failed to get the SerializationPolicy 'C7F5ECA5E3C10B453290DE47D3BE0F0E' for module 'https://hostname:444/'; a legacy, 1.3.3 compatible, serialization policy will be used. You may experience SerializationExceptions as a result. 2009-10-04 14:05:41.292:/:WARN: StoryService: ERROR: The serialization policy file '/0445C2D48AEF2FB8CB70C4D4A7849D88.gwt.rpc' was not found; did you forget to include it in this deployment? 2009-10-04 14:05:41.292:/:WARN: StoryService: WARNING: Failed to get the SerializationPolicy '0445C2D48AEF2FB8CB70C4D4A7849D88' for module 'https://hostname:444/'; a legacy, 1.3.3 compatible, serialization policy will be used. You may experience SerializationExceptions as a result. In other words, GWT isn't getting the word that it needs to prepend /context/ hen look for C7F5ECA5E3C10B453290DE47D3BE0F0E.gwt.rpc, but only when the request comes throught proxy. A workaround is to add the context to the url for the web site: location /context/ { proxy_pass http://backend/context/; } but that means the context is now part of the url that the user sees, and that's ugly. Anybody know how to make GWT happy in this case? Software versions: GWT - 1.7.0 (same problem with 1.7.1) Jetty - 6.1.21 (but the same problem existed under tomcat) nginx - 0.7.62 (same problem under apache 2.x) I've looked at the traffic between the proxy and the backend using DonsProxy, but there's nothing noteworthy there.

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  • Large Y-axis tickInterval in high charts does not work

    - by ckovacs
    I have a chart at this JSFiddle to demonstrate a problem where our charts are not respecting the y-axis tick interval for large values: http://jsfiddle.net/z2cDu/1/ var plots = {"usBytePlots":[[1362009600000,143663192997],[1362096000000,110184848742],[1362182400000,97694974247],[1362268800000,90764690805],[1362355200000,112436517747],[1362441600000,113563368701],[1362528000000,139579327454],[1362614400000,118406594506],[1362700800000,125366899935],[1362787200000,134189435596],[1362873600000,132873135854],[1362960000000,121002328604],[1363046400000,123138222001],[1363132800000,115667785553],[1363219200000,103746172138],[1363305600000,108602633473],[1363392000000,89133998142],[1363478400000,92170701458],[1363564800000,86696922873],[1363651200000,80980159054],[1363737600000,97604615694],[1363824000000,108011666339],[1363910400000,124419138381],[1363996800000,121704988344],[1364083200000,124337959109],[1364169600000,137495512348],[1364256000000,136017103319],[1364342400000,60867510427]],"dsBytePlots":[[1362009600000,1734982247336],[1362096000000,1471928923201],[1362182400000,1453869593201],[1362268800000,1411787942581],[1362355200000,1460252447519],[1362441600000,1595590020177],[1362528000000,1658007074783],[1362614400000,1411941908699],[1362700800000,1447659369450],[1362787200000,1643008799861],[1362873600000,1792357973023],[1362960000000,1575173242169],[1363046400000,1565139003978],[1363132800000,1549211975554],[1363219200000,1438411448469],[1363305600000,1380445413578],[1363392000000,1298319283929],[1363478400000,1194578344720],[1363564800000,1211409679299],[1363651200000,1142416351471],[1363737600000,1223822672626],[1363824000000,1267692136487],[1363910400000,1384335759541],[1363996800000,1577205919828],[1364083200000,1675715948928],[1364169600000,1517593781592],[1364256000000,1562183018457],[1364342400000,681007264598]],"aggregatedTotalBytes":43476367948896,"aggregatedUsBytes":3150320403841,"aggregatedDsBytes":40326047545055,"maxTotalBytes":328186292129,"maxTotalBitsPerSecond":30387619.641574074} ; $('#container').highcharts({ yAxis: { tickInterval: 53687091200 // 500 gigabytes. Maximum y-axis value is approx 1.8TB }, series : [ { color: 'rgba(80, 180, 77, 0.7)', type: 'areaspline', name : 'Downstream', data : plots.dsBytePlots, total: plots.aggregatedDsBytes }, { color: 'rgba(33, 143, 197, 0.7)', type: 'areaspline', name : 'Upstream', data : plots.usBytePlots, total: plots.aggregatedUsBytes }] }); In this example we are charting bandwidth utilization in bytes. The chart has a maximum value of about 1.8TB. We set the y-axis tick interval to exactly 500GB but the rendered y-axis ticks don't make any sense for the given interval.

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  • Unable to create a breakpoint in Eclipse and Tomcat

    - by Traroth
    Since yesterday, I get a strange error message when I start my Tomcat (6.0.35) under Eclipse Juno (build 20120614-1722): Among the things I tried in order to get rid of the error: Check in Preferences - Java - Compiler if all "Classfile Generation" checkboxes where checked. I did that for both general preferences and project preference Uncheck them, build, check them build again (found on another question) Add org.eclipse.jdt.core.compiler.debug.lineNumber=generate to my .settings/org.eclipse.jdt.core.prefs file Use a new CVS checkout (same symptoms) And now, I don't know what to do anymore. The problem is really stopping me from get anything done. I can't work anymore. Crazy is: the problem doesn't happen on every class, only on some of them. Neither does it happen on my other Eclipse projects. And it didn't happen before yesterday, even if I can't remeber having done anything weird. Actually, I have never seen a problem like this in almost 10 years I'm using Eclipse... If you have any idea, I would be really grateful... Edit: I also tried to ignore the message and go on with my tests: If I create another breakpoint upstream from my problematic class, when I enter this problematic class, it tries to open a $Proxy132 class, which means it actually opens an empty page, with a source not found message

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  • git: remove 2nd commit

    - by cwolves
    I'm trying to remove the 2nd commit to a repo. At this point I could just blow away the .git dir and re-do it, but I'm curious how to do this... I've deleted commits before, but apparently never the 2nd one :) > git log commit c39019e4b08497406c53ceb532f99801793205ca Author: Me Date: Thu Mar 22 14:02:41 2012 -0700 Initializing registry directories commit 535dce28f1c68e8af9d22bc653aca426fb7825d8 Author: Me Date: Tue Jan 31 21:04:13 2012 -0800 First Commit > git rebase -i HEAD~2 fatal: Needed a single revision invalid upstream HEAD~2 > git rebase -i HEAD~1 at which point I get in my editor: pick c39019e Initializing registry directories # Rebase 535dce2..c39019e onto 535dce2 # # Commands: # p, pick = use commit # r, reword = use commit, but edit the commit message # e, edit = use commit, but stop for amending # s, squash = use commit, but meld into previous commit # f, fixup = like "squash", but discard this commit's log message # x, exec = run command (the rest of the line) using shell # # If you remove a line here THAT COMMIT WILL BE LOST. # However, if you remove everything, the rebase will be aborted. # Now my problem is that I can't just blow away this 2nd commit since "if you remove everything, the rebase will be aborted"

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  • Publish Git repository to SVN

    - by Ken Williams
    I and my small team work in Git, and the larger group uses Subversion. I'd like to schedule a cron job to publish our repositories current HEADs every hour into a certain directory in the SVN repo. I thought I had this figured out, but the recipe I wrote down previously doesn't seem to be working now: git clone ssh://me@gitserver/git-repo/Projects/ProjX px2 cd px2 svn mkdir --parents http://me@svnserver/svn/repo/play/me/fromgit/ProjX git svn init -s http://me@svnserver/svn/repo/play/me/fromgit/ProjX git svn fetch git rebase trunk master git svn dcommit Here's what happens when I attempt: % git clone ssh://me@gitserver/git-repo/Projects/ProjX px2 Cloning into 'ProjX'... ... % cd px2 % svn mkdir --parents http://me@svnserver/svn/repo/play/me/fromgit/ProjX Committed revision 123. % git svn init -s http://me@svnserver/svn/repo/play/me/fromgit/ProjX Using higher level of URL: http://me@svnserver/svn/repo/play/me/fromgit/ProjX => http://me@svnserver/svn/repo % git svn fetch W: Ignoring error from SVN, path probably does not exist: (160013): Filesystem has no item: File not found: revision 100, path '/play/me/fromgit/ProjX' W: Do not be alarmed at the above message git-svn is just searching aggressively for old history. This may take a while on large repositories % git rebase trunk master fatal: Needed a single revision invalid upstream trunk I could have sworn this worked previously, anyone have any suggestions? Thanks.

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  • How to combine two separate unrelated Git repositories into one with single history timeline

    - by Antony
    I have two unrelated (not sharing any ancestor check in) Git repositories, one is a super repository which consists a number of smaller projects (Lets call it repository A). Another one is just a makeshift local Git repository for a smaller project (lets call it repository B). Graphically, it would look like this A0-B0-C0-D0-E0-F0-G0-HEAD (repo A) A0-B0-C0-D0-E0-F0-G0-HEAD (remote/master bare repo pulled & pushed from repo A) A1-B1-C1-D1-E1-HEAD (repo B) Ideally, I would really like to merge repo B into repo A with a single history timeline. So it would appear that I originally started project in repo A. Graphically, this would be the ideal end result A0-A1-B1-B0-D1-C0-D0-E0-F0-G0-E1-H(from repo B)-HEAD (new repo A) A0-A1-B1-B0-D1-C0-D0-E0-F0-G0-E1-H(from repo B)-HEAD (remote/master bare repo pulled & pushed from repo A) I have been doing some reading with submodules and subtree (Pro Git is a pretty good book by the way), but both of them seem to cater solution towards maintaining two separate branch with sub module being able to pull changes from upstream and subtree being slightly less headache. Both solution require additional and specialized git commands to handle check ins and sync between master and sub tree/module branch. Both solution also result in multiple time-lines (with --squash you even get 3 timelines with subtree). The closest solution from SO seems to talk about "graft", but is that really it? The goal is to have a single unified repository where I can pull/push check-ins, so that there are no more repo B, just repo A in the end.

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  • Keeping third-party libraries under a Mercurial project: Sub-repos or not?

    - by fraktal
    Hello, We are developing a closed-source project, versionned with Mercurial. We are using two libraries in our project : One of those libraries is being developed by a third-party. They are using git, and we usually just pull from their repo once in a week to get the latest changes. The other library is being developed by ourselves, and is under active development. It must live in its own public mercurial repository, as it is licensed under LGPL. (It's a fork of a third-party LGPL component, ported to our platform) So my question is: How should I organize the source to ensure that: A developer from our team should be able to get all the source (main project + libraries) with a single "clone" command We should be able to pull easily the latest changes from the libraries, even though one of them is managed by git Should we use mercurial sub-repos functionnality, with hg-git to access to the library under git? Is it well supported by TortoiseHg and BitBucket? (pros: easy to pull library changes / cons: does it works well?) Or should we keep only snapshots of the libraries under our project? (thus, when there are new upstream changes in the libraries, we pull them to a separate place, and then copy the whole source to our project? (pros: will work / cons: pain in the ass, especially for the library that is being developed by ourselves, which is subject to a lot of daily changes)

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  • Tracking a fragment of a file in two places with git

    - by mabraham
    Hi, I have code such as void myfunc() { introduction(); while(condition()) { complex(); loop(); interior(); code(); } cleanup(); } which I wish to duplicate into two versions, viz: void myfuncA() { introduction(); minorchangeA(); while(condition()) { complex(); loop(); interior(); code(); } cleanup(); } void myfuncB() { introduction(); minorchangeB(); while(condition()) { complex(); modifiedB(); loop(); interior(); code(); } cleanup(); extracleanupB(); } git claims to track content rather than files, so do I need to tell it that there are chunks here that are common to both myfuncA and myfuncB so that when merging with upstream changes to myfunc that those changes should propagate to both myfuncA and myfuncB? If so, how? The code could be written so that myfuncAB did the correct thing at each point by testing for condition A or B, but that could seriously hinder readability or performance.

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  • Can I keep git from pushing the master branch to all remotes by default?

    - by Curtis
    I have a local git repository with two remotes ('origin' is for internal development, and 'other' is for an external contractor to use). The master branch in my local repository tracks the master in 'origin', which is correct. I also have a branch 'external' which tracks the master in 'other'. The problem I have now is that my master brach ALSO wants to push to the master in 'other' as well, which is an issue. Is there any way I can specify that the local master should NOT push to other/master? I've already tried updating my .git/config file to include: [branch "master"] remote = origin merge = refs/heads/master [branch "external"] remote = other merge = refs/heads/master [push] default = upstream But remote show still shows that my master is pushing to both remotes: toko:engine cmlacy$ git remote show origin Password: * remote origin Fetch URL: <REPO LOCATION> Push URL: <REPO LOCATION> HEAD branch: master Remote branches: master tracked refresh-hook tracked Local branch configured for 'git pull': master merges with remote master Local ref configured for 'git push': master pushes to master (up to date) Those are all correct. toko:engine cmlacy$ git remote show other Password: * remote other Fetch URL: <REPO LOCATION> Push URL: <REPO LOCATION> HEAD branch: master Remote branch: master tracked Local branch configured for 'git pull': external merges with remote master Local ref configured for 'git push': master pushes to master (local out of date) That last section is the problem. 'external' should merge with other/master, but master should NEVER push to other/master. It's never gong to work.

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  • How to ensure nginx serves a request from an external IP?

    - by Matt
    I have a strange situation, where my nginx setup stopped handling external requests. I'm pretty stuck. If I hit the domain without a subdomain, I properly get redirected, however, if I request the full url, that fails and doesn't log anything, anywhere. I am able to curl localhost on the server itself, however when I attempt to curl from an external machine, it fails with: curl: (7) couldn't connect to host I've also noticed that bots can get through, I've seen Google hit the log every now and then. My nginx.conf file: upstream mongrels { server 127.0.0.1:5000; } server { listen 80; server_name culini.com; rewrite ^/(.*) http://www.culini.com/$1 permanent; } # the server directive is nginx's virtual host directive. server { # port to listen on. Can also be set to an IP:PORT listen 80; # Set the max size for file uploads to 50Mb client_max_body_size 50M; # sets the domain[s] that this vhost server requests for server_name www.culini.com; # doc root root /var/www/culini/current/public; log_format app '$remote_addr - $remote_user [$time_local] ' '"$request" $status $body_bytes_sent "$http_referer" ' '"$http_user_agent" "$http_x_forwarded_for" [$upstream_addr $upstream_response_time $upstream_status]'; # vhost specific access log access_log /var/www/culini/current/log/nginx.access.log app; error_log /var/www/culini/current/log/nginx.error.log debug; location / { proxy_set_header X-Real-IP $remote_addr; proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for; proxy_set_header Host $http_host; proxy_redirect false; proxy_max_temp_file_size 0; proxy_intercept_errors on; proxy_ignore_client_abort on; if (-f $request_filename) { break; } if (!-f $request_filename) { proxy_pass http://mongrels; break; } } } Please, please, any help would be greatly appreciated.

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  • SQL Server 2008, Books Online, and old documentation...

    - by Chris J
    [I have no idea if stackoverflow really is right right place for this, but don't know how many devs on here run into msi issues with SQL Server; suggest SuperUser or ServerFault if folk think it's better on either of those] About a year ago, when we were looking at moving our codebase forward and migrating to SQL Server 2008, I pulled down a copy of Books Online from the MSDN. Reviewed, did background research, fed results upstream, grabbed Express and tinkered with that. Then we got the nod to move forward (hurrah!) this past couple of weeks. So armed with Developer Edition, and running through the install, I've since found out I've zapped the Books Online MSI, no-ones got a copy of it, and Microsoft only have a later version (Oct 2009) available, so damned if I can update my SQL Server fully and properly... {mutter grumble}. Does anyone know if old versions of Books Online are available for download anywhere? Poking around the Microsoft download centre can't find it, neither is my google-fu finding it. For reference, I'm looking for SQLServer2008_BOL_August2008_ENU.msi ... This may just be a case of good ol' manual delete the files and (try) and clean up the registry :-(

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  • can upstart expect/respawn be used on processes that fork more than twice?

    - by johnjamesmiller
    I am using upstart to start/stop/automatically restart daemons. One of the daemons forks 4 times. The upstart cookbook states that it only supports forking twice. Is there a workaround? how it fails If I try to use expect daemon or expect fork upstart uses the pid of the second fork. When I try to stop the job nobody responds to upstarts SIGKILL signal and it hangs until you exhaust the pid space and loop back around. It gets worse if you add respawn. Upstart thinks the job died and immediately starts another one. bug acknowledged by upstream A bug has been entered for upstart. The solutions presented are stick with the old sysvinit, rewrite your daemon, or wait for a re-write. rhel is close to 2 years behind the latest upstart package so by the time the rewrite is released and we get updated the wait will probably be 4 years. The daemon is written by a subcontractor of a subcontractor of a contractor so it will not be fixed any time soon either.

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