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  • How do I get all the calendar entries for a particular time range using Google Calendar API

    - by BeWarned
    I want to view events over specific time range for a specific calendar, but am having trouble using the API, It is a generic API, and it reminds me of using the DOM. The problem is that it seems difficult to work with because much of the information is in generic base classes. How do I get the events for a calendar using Groovy or Java? Does anybody have an example of passing credentials using curl? Example code would be appreciated.

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  • What tools do people use to make programming tutorial videos?

    - by Pure.Krome
    Hi folks, I'm wanting to make some yee-run-o-the-mill tutorial video's about some programming concepts and stuff i've been doing. Nothing special ... lots of peeps been doing it. What tools are people using to record and edit these videos? What resolutions / fonts / sizes do people generally use/set? The only tool I've had experience with is Camtasia - and i didn't mind it. But i've seen vid's (or live demo's) where people zoom in to code sections.. how do they do that? For final editing, do most people just do some simple power point presentation with some video snippets mashed in. cheers!

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  • Monit won't run

    - by Yaniro
    I have two identical EC2 instances (the second is a replica of the first), running Gentoo. The first instance has monit running which monitors a single process and some system resources and functions great. In the second instance, monit runs but quits right away. The configuration is similar on both instances so are the versions of monit. monit.log shows: [GMT Oct 3 08:36:41] info : monit daemon with PID 5 awakened Final lines on strace monit show: write(2, "monit daemon with PID 5 awakened"..., 33monit daemon with PID 5 awakened ) = 33 time(NULL) = 1349252827 open("/etc/localtime", O_RDONLY) = 4 fstat64(4, {st_mode=S_IFREG|0644, st_size=118, ...}) = 0 fstat64(4, {st_mode=S_IFREG|0644, st_size=118, ...}) = 0 mmap2(NULL, 4096, PROT_READ|PROT_WRITE, MAP_PRIVATE|MAP_ANONYMOUS, -1, 0) = 0xb773a000 read(4, "TZif2\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0\1\0\0\0\1\0\0\0\0"..., 4096) = 118 _llseek(4, -6, [112], SEEK_CUR) = 0 read(4, "\nGMT0\n", 4096) = 6 close(4) = 0 munmap(0xb773a000, 4096) = 0 write(3, "[GMT Oct 3 08:27:07] info :"..., 33) = 33 write(3, "monit daemon with PID 5 awakened"..., 33) = 33 waitpid(-1, NULL, WNOHANG) = -1 ECHILD (No child processes) close(3) = 0 exit_group(0) = ? No core dumps (ulimit -c shows unlimited) monit -v shows: monit: Debug: Adding host allow 'localhost' monit: Debug: Skipping redundant host 'localhost' monit: Debug: Skipping redundant host 'localhost' monit: Debug: Adding credentials for user 'xxxx'. Runtime constants: Control file = /etc/monitrc Log file = /var/log/monit/monit.log Pid file = /var/run/monit.pid Id file = /var/run/monit.pid Debug = True Log = True Use syslog = False Is Daemon = True Use process engine = True Poll time = 30 seconds with start delay 0 seconds Expect buffer = 256 bytes Event queue = base directory /var/monit with 100 slots Mail server(s) = xx.xxx.xx.xxx with timeout 30 seconds Mail from = (not defined) Mail subject = (not defined) Mail message = (not defined) Start monit httpd = True httpd bind address = Any/All httpd portnumber = 2812 httpd signature = True Use ssl encryption = False httpd auth. style = Basic Authentication and Host/Net allow list Alert mail to = [email protected] Alert on = All events The service list contains the following entries: System Name = xxxx Monitoring mode = active CPU wait limit = if greater than 20.0% 1 times within 1 cycle(s) then alert else if succeeded 1 times within 1 cycle(s) then alert CPU system limit = if greater than 30.0% 1 times within 1 cycle(s) then alert else if succeeded 1 times within 1 cycle(s) then alert CPU user limit = if greater than 70.0% 1 times within 1 cycle(s) then alert else if succeeded 1 times within 1 cycle(s) then alert Swap usage limit = if greater than 25.0% 1 times within 1 cycle(s) then alert else if succeeded 1 times within 1 cycle(s) then alert Memory usage limit = if greater than 75.0% 1 times within 1 cycle(s) then alert else if succeeded 1 times within 1 cycle(s) then alert Load avg. (5min) = if greater than 2.0 1 times within 1 cycle(s) then alert else if succeeded 1 times within 1 cycle(s) then alert Load avg. (1min) = if greater than 4.0 1 times within 1 cycle(s) then alert else if succeeded 1 times within 1 cycle(s) then alert Process Name = xxxx Group = server Pid file = /var/run/xxxx.pid Monitoring mode = active Start program = '/etc/init.d/xxxx restart' timeout 20 second(s) Stop program = '/etc/init.d/xxxx stop' timeout 30 second(s) Existence = if does not exist 1 times within 1 cycle(s) then restart else if succeeded 1 times within 1 cycle(s) then alert Pid = if changed 1 times within 1 cycle(s) then alert Ppid = if changed 1 times within 1 cycle(s) then alert Timeout = If restarted 3 times within 5 cycle(s) then unmonitor Alert mail to = [email protected] Alert on = All events Alert mail to = [email protected] Alert on = All events ------------------------------------------------------------------------------- monit daemon with PID 5 awakened Ran emerge --sync before emerge -va monit which installed monit v5.3.2. When that didn't work i've downloaded v5.5 from their website and compiled from source which did not work either.

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  • Where's the Swap File/Partition?

    - by chrisbunney
    I'm investigating the virtual memory configuration of a Debian based Amazon EC2 instance, and as my background isn't in system admin, I'm slightly confused by what I'm seeing. We're using MongoDB, and the monitoring server we have indicates that the Mongo process is using about 20GB of swap space, however I can't figure out where this is located on the server. As far as I can tell from using the various suggested methods from Google, there is either a much smaller amount, or none at all. top indicates that there is 1.8GB of swap memory: top - 15:35:21 up 6 days, 3:23, 1 user, load average: 1.60, 1.43, 1.37 Tasks: 47 total, 2 running, 45 sleeping, 0 stopped, 0 zombie Cpu(s): 0.0%us, 1.3%sy, 0.0%ni, 14.7%id, 83.8%wa, 0.0%hi, 0.0%si, 0.1%st Mem: 3928924k total, 2855572k used, 1073352k free, 640564k buffers Swap: 0k total, 0k used, 0k free, 1887788k cached swapon -s doesn't seem to think there's any swap space: Filename Type Size Used Priority free -m doesn't think there's any swap either: total used free shared buffers cached Mem: 3836 3663 172 0 626 2701 -/+ buffers/cache: 336 3500 Swap: 0 0 0 And neither does vmstat: procs -----------memory---------- ---swap-- -----io---- -system-- ----cpu---- r b swpd free buff cache si so bi bo in cs us sy id wa 0 3 0 66224 641372 2874744 0 0 21 5012 21 33 2 2 76 19 But cat /etc/fstab thinks there is a swap partition: /dev/xvda1 / ext3 defaults 1 1 /dev/xvda2 /mnt ext3 defaults 0 0 /dev/xvda3 swap swap defaults 0 0 none /proc proc defaults 0 0 none /sys sysfs defaults 0 0 However df -k gives no indication of the xvda3 partition: Filesystem 1K-blocks Used Available Use% Mounted on /dev/xvda1 16513960 15675324 0 100% / tmpfs 1964460 8 1964452 1% /lib/init/rw udev 1914148 28 1914120 1% /dev tmpfs 1964460 4 1964456 1% /dev/shm So I really don't know what to make of this, because I appear to have a process using about 10 times more virtual memory than what might be available, and I have no idea where this virtual memory is on the system. I'm probably misinterpreting the output of the tools, so I'd be grateful if someone would be able to set me straight: What have I got wrong, what's the right interpretation, and how do you reach that interpretation? EDIT0: We use 10gen's MMS for monitoring the database, the relevant section for memory from the last data point is: "mem": { "virtual": 20749, "bits": 64, "supported": true, "mappedWithJournal": 20376, "mapped": 10188, "resident": 1219 }, This JSON is specific to the database process (I believe) rather than the system as a whole. fdisk -l /dev/xvda outputs... nothing? I tried each of the 3 xvda entries in /etc/fstab as well: root@ip:~# fdisk -l /dev/xvda1 Disk /dev/xvda1: 34.4 GB, 34359738368 bytes 255 heads, 63 sectors/track, 4177 cylinders Units = cylinders of 16065 * 512 = 8225280 bytes Sector size (logical/physical): 512 bytes / 512 bytes I/O size (minimum/optimal): 512 bytes / 512 bytes Disk identifier: 0x00000000 Disk /dev/xvda1 doesn't contain a valid partition table root@ip:~# fdisk -l /dev/xvda2 root@ip:~# fdisk -l /dev/xvda3 root@ip:~# Edit1: Output of cat /proc/meminfo for the sake of completeness: MemTotal: 3928924 kB MemFree: 726600 kB Buffers: 648368 kB Cached: 2216556 kB SwapCached: 0 kB Active: 1945100 kB Inactive: 994016 kB Active(anon): 60476 kB Inactive(anon): 12952 kB Active(file): 1884624 kB Inactive(file): 981064 kB Unevictable: 0 kB Mlocked: 0 kB SwapTotal: 0 kB SwapFree: 0 kB Dirty: 387180 kB Writeback: 0 kB AnonPages: 73380 kB Mapped: 1188260 kB Shmem: 48 kB Slab: 149768 kB SReclaimable: 146076 kB SUnreclaim: 3692 kB KernelStack: 1104 kB PageTables: 16096 kB NFS_Unstable: 0 kB Bounce: 0 kB WritebackTmp: 0 kB CommitLimit: 1964460 kB Committed_AS: 305572 kB VmallocTotal: 34359738367 kB VmallocUsed: 16760 kB VmallocChunk: 34359721448 kB HardwareCorrupted: 0 kB HugePages_Total: 0 HugePages_Free: 0 HugePages_Rsvd: 0 HugePages_Surp: 0 Hugepagesize: 2048 kB DirectMap4k: 3932160 kB DirectMap2M: 0 kB

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  • Performance Tuning a High-Load Apache Server

    - by futureal
    I am looking to understand some server performance problems I am seeing with a (for us) heavily loaded web server. The environment is as follows: Debian Lenny (all stable packages + patched to security updates) Apache 2.2.9 PHP 5.2.6 Amazon EC2 large instance The behavior we're seeing is that the web typically feels responsive, but with a slight delay to begin handling a request -- sometimes a fraction of a second, sometimes 2-3 seconds in our peak usage times. The actual load on the server is being reported as very high -- often 10.xx or 20.xx as reported by top. Further, running other things on the server during these times (even vi) is very slow, so the load is definitely up there. Oddly enough Apache remains very responsive, other than that initial delay. We have Apache configured as follows, using prefork: StartServers 5 MinSpareServers 5 MaxSpareServers 10 MaxClients 150 MaxRequestsPerChild 0 And KeepAlive as: KeepAlive On MaxKeepAliveRequests 100 KeepAliveTimeout 5 Looking at the server-status page, even at these times of heavy load we are rarely hitting the client cap, usually serving between 80-100 requests and many of those in the keepalive state. That tells me to rule out the initial request slowness as "waiting for a handler" but I may be wrong. Amazon's CloudWatch monitoring tells me that even when our OS is reporting a load of 15, our instance CPU utilization is between 75-80%. Example output from top: top - 15:47:06 up 31 days, 1:38, 8 users, load average: 11.46, 7.10, 6.56 Tasks: 221 total, 28 running, 193 sleeping, 0 stopped, 0 zombie Cpu(s): 66.9%us, 22.1%sy, 0.0%ni, 2.6%id, 3.1%wa, 0.0%hi, 0.7%si, 4.5%st Mem: 7871900k total, 7850624k used, 21276k free, 68728k buffers Swap: 0k total, 0k used, 0k free, 3750664k cached The majority of the processes look like: 24720 www-data 15 0 202m 26m 4412 S 9 0.3 0:02.97 apache2 24530 www-data 15 0 212m 35m 4544 S 7 0.5 0:03.05 apache2 24846 www-data 15 0 209m 33m 4420 S 7 0.4 0:01.03 apache2 24083 www-data 15 0 211m 35m 4484 S 7 0.5 0:07.14 apache2 24615 www-data 15 0 212m 35m 4404 S 7 0.5 0:02.89 apache2 Example output from vmstat at the same time as the above: procs -----------memory---------- ---swap-- -----io---- -system-- ----cpu---- r b swpd free buff cache si so bi bo in cs us sy id wa 8 0 0 215084 68908 3774864 0 0 154 228 5 7 32 12 42 9 6 21 0 198948 68936 3775740 0 0 676 2363 4022 1047 56 16 9 15 23 0 0 169460 68936 3776356 0 0 432 1372 3762 835 76 21 0 0 23 1 0 140412 68936 3776648 0 0 280 0 3157 827 70 25 0 0 20 1 0 115892 68936 3776792 0 0 188 8 2802 532 68 24 0 0 6 1 0 133368 68936 3777780 0 0 752 71 3501 878 67 29 0 1 0 1 0 146656 68944 3778064 0 0 308 2052 3312 850 38 17 19 24 2 0 0 202104 68952 3778140 0 0 28 90 2617 700 44 13 33 5 9 0 0 188960 68956 3778200 0 0 8 0 2226 475 59 17 6 2 3 0 0 166364 68956 3778252 0 0 0 21 2288 386 65 19 1 0 And finally, output from Apache's server-status: Server uptime: 31 days 2 hours 18 minutes 31 seconds Total accesses: 60102946 - Total Traffic: 974.5 GB CPU Usage: u209.62 s75.19 cu0 cs0 - .0106% CPU load 22.4 requests/sec - 380.3 kB/second - 17.0 kB/request 107 requests currently being processed, 6 idle workers C.KKKW..KWWKKWKW.KKKCKK..KKK.KKKK.KK._WK.K.K.KKKKK.K.R.KK..C.C.K K.C.K..WK_K..KKW_CK.WK..W.KKKWKCKCKW.W_KKKKK.KKWKKKW._KKK.CKK... KK_KWKKKWKCKCWKK.KKKCK.......................................... ................................................................ From my limited experience I draw the following conclusions/questions: We may be allowing far too many KeepAlive requests I do see some time spent waiting for IO in the vmstat although not consistently and not a lot (I think?) so I am not sure this is a big concern or not, I am less experienced with vmstat Also in vmstat, I see in some iterations a number of processes waiting to be served, which is what I am attributing the initial page load delay on our web server to, possibly erroneously We serve a mixture of static content (75% or higher) and script content, and the script content is often fairly processor intensive, so finding the right balance between the two is important; long term we want to move statics elsewhere to optimize both servers but our software is not ready for that today I am happy to provide additional information if anybody has any ideas, the other note is that this is a high-availability production installation so I am wary of making tweak after tweak, and is why I haven't played with things like the KeepAlive value myself yet.

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  • Windows 2008 Server in Amazon EC2 stops responding when SSTP/VPN connection is closed

    - by user38349
    All, I have a single Windows 2008 server running in Amazon's EC2 cloud. It's running a web application that is running fine and is accessible to the outside world. I need 3-5 developers to be able to work on database on the server, and was intending to accomplish this by setting up SSTP/RRAS on the server and letting them VPN in. This has been a bit of an ordeal due to the amount of server roles and messing with certificates that has been needed, but my VPN connection works now (all clients will be Windows 7). My problem is that when I drop my VPN connection (from the client side) the server hangs. The only way that I've found to get it back is to reboot it from the Amazon management console. Thanks for any guidance. Duncan

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  • Windows 2008 Server in Amazon EC2 stops responding when SSTP/VPN connection is closed

    - by user38349
    All, I have a single Windows 2008 server running in Amazon's EC2 cloud. It's running a web application that is running fine and is accessible to the outside world. I need 3-5 developers to be able to work on database on the server, and was intending to accomplish this by setting up SSTP/RRAS on the server and letting them VPN in. This has been a bit of an ordeal due to the amount of server roles and messing with certificates that has been needed, but my VPN connection works now (all clients will be Windows 7). My problem is that when I use my VPN connection (from the client side) the server hangs - although not at any any consistent place, sometimes it's when I close the connection, some times when I'm making the connection). The only way that I've found to get it back is to reboot it from the Amazon management console. Thanks for any guidance. Duncan

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  • Serve WordPress from root of site on Bitnami EC2 Ubuntu image

    - by user57087
    Running Bitnami's Ubuntu Wordpress Image on Amazon EC2. By default the WordPress install is at /wordpress and there is a static index.html file in the root. How do I configure Apache and WordPress to serve from the root instead of /wordpress? I have tried the instructions on this page: http://digitivity.org/10/how-to-serve-your-wordpress-blog-from-the-root-directory-if-its-installed-in-a-subdirectory without success. I have tried changing the document root to the folder serving the wordpress content, but that just breaks WordPress. I know I am missing something simple, but not sure what. Any help would be appreciated.

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  • Sendmail relay out of Amazon EC2?

    - by Stephen Belanger
    I have a site running on CentOS 5.4 through Amazon EC2. Unfortunately, Amazon has had nothing but trouble with their entire IP range getting black listed from spam tracking services regularly. I need a mail server, so I setup an smtp server elsewhere that I want to send to, but I can't just send directly to it through PHP because the direct smtp request is way too slow. What I want to do is relay through sendmail, but I've never used sendmail before, so I have no idea how to configure it. All I want is for all emails sent from localhost to be relayed to one specific external server, but I don't know how to do that. I tried to find a tutorial online, but couldn't find anything that was particularly clear as to how I go about doing that. Can anyone help me out?

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  • Start jade via batch script as service on windows server 2012 amazon ec2 instance

    - by E. Lüders
    I would like to start the Jade agent platform with a batch script on an windows server ec2 instance as a service. The reason for this is, that I want to start jade automatically at system startup. For creating the service I use nssm. However so far its working fine and the service is created. When I want to start the service I get an error message: Windows could not start the NAME service on Local Computer. The service did not return an error... My batch file contains only one line: java jade.Boot -platform-id P%random% If i execute the script via cmd it works fine. Anybody got an idea why this is not working if I start the batch script as a service?

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  • EC2 Apache Server not reflecting changes to PHP files

    - by Josef van Niekerk
    We're running a Laravel application on an Amazon EC2 server with Apache installed. I've noticed on multiple occasions, that the server doesn't respond to changes in PHP files, even after restarting Apache. For example, if I edit a file that I'm accessing through a URL, and I break the syntax, I don't even get a PHP exception thrown. This is really strange, and has been sticking its head out more frequently these days. Is it possible Apache is caching the PHP files somewhere? Opcode caching perhaps?

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  • ec2 ami device mapping

    - by hortitude
    I have large ec2 Ubuntu image and I'm just looking through the devices. I noticed from the metadata that % curl http://169.254.169.254/latest/meta-data/block-device-mapping/ami sda1 % curl http://169.254.169.254/latest/meta-data/block-device-mapping/ephemeral0 sdb However when I look what is actually mounted there is /dev/xvda1 and /dev/xvdb (and there is no /dev/sd* ) I know that both names look somewhat valid from the AWS documentation, but it looks to me from this like there is a mismatch in the instance metadata and what is actually on the machine. Why don't they match?

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  • How to add a second domain to an EC2 instance with Elastic & Route 53

    - by memeLab
    I've got my domain site.com running on EC2, using Elastic IP and Route 53. I want to park site.net so that it resolves to the same site.. I've looked up Migrating an Existing Domain to Route 53 in the docs, but can't find mention of how to add a second domain! I figured I'd have to create an A record, but when I do so, the record is created site.net.site.com .. not quite what I'm after! I've also done searches for mixes of 'route 53', 'park domain', 'addon domain', 'second domain', but no dice... My prior experience is with cPanel and Plesk, so I'm a bit lost! Any pointers would be appreciated! TIA

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  • Amazon EC2 as load balanced/failover solution

    - by sugiggs
    Hi All, I'm thinking of an idea but not sure the pros/cons of it. At the moment, we are hosting our website on a dedicated server. As a failover/load balanced solution, I'm thinking to use Amazon EC2+EBS. The files can be rsync and mysql can be setup as master-master replication When the load is high, I can up the machine, given sometime to "sync" and load balanced the traffic there. is it do-able? any link I can read more on this?

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  • Java Logger API

    - by Koppar
    This is a more like a tip rather than technical write up and serves as a quick intro for newbies. The logger API helps to diagnose application level or JDK level issues at runtime. There are 7 levels which decide the detailing in logging (SEVERE, WARNING, INFO, CONFIG, FINE, FINER, FINEST). Its best to start with highest level and as we narrow down, use more detailed logging for a specific area. SEVERE is the highest and FINEST is the lowest. This may not make sense until we understand some jargon. The Logger class provides the ability to stream messages to an output stream in a format that can be controlled by the user. What this translates to is, I can create a logger with this simple invocation and use it add debug messages in my class: import java.util.logging.*; private static final Logger focusLog = Logger.getLogger("java.awt.focus.KeyboardFocusManager"); if (focusLog.isLoggable(Level.FINEST)) { focusLog.log(Level.FINEST, "Calling peer setCurrentFocusOwner}); LogManager acts like a book keeper and all the getLogger calls are forwarded to LogManager. The LogManager itself is a singleton class object which gets statically initialized on JVM start up. More on this later. If there is no existing logger with the given name, a new one is created. If there is one (and not yet GC’ed), then the existing Logger object is returned. By default, a root logger is created on JVM start up. All anonymous loggers are made as the children of the root logger. Named loggers have the hierarchy as per their name resolutions. Eg: java.awt.focus is the parent logger for java.awt.focus.KeyboardFocusManager etc. Before logging any message, the logger checks for the log level specified. If null is specified, the log level of the parent logger will be set. However, if the log level is off, no log messages would be written, irrespective of the parent’s log level. All the messages that are posted to the Logger are handled as a LogRecord object.i.e. FocusLog.log would create a new LogRecord object with the log level and message as its data members). The level of logging and thread number are also tracked. LogRecord is passed on to all the registered Handlers. Handler is basically a means to output the messages. The output may be redirected to either a log file or console or a network logging service. The Handler classes use the LogManager properties to set filters and formatters. During initialization or JVM start up, LogManager looks for logging.properties file in jre/lib and sets the properties if the file is provided. An alternate location for properties file can also be specified by setting java.util.logging.config.file system property. This can be set in Java Control Panel ? Java ? Runtime parameters as -Djava.util.logging.config.file = <mylogfile> or passed as a command line parameter java -Djava.util.logging.config.file = C:/Sunita/myLog The redirection of logging depends on what is specified rather registered as a handler with JVM in the properties file. java.util.logging.ConsoleHandler sends the output to system.err and java.util.logging.FileHandler sends the output to file. File name of the log file can also be specified. If you prefer XML format output, in the configuration file, set java.util.logging.FileHandler.formatter = java.util.logging.XMLFormatter and if you prefer simple text, set set java.util.logging.FileHandler.formatter =java.util.logging.SimpleFormatter Below is the default logging Configuration file: ############################################################ # Default Logging Configuration File # You can use a different file by specifying a filename # with the java.util.logging.config.file system property. # For example java -Djava.util.logging.config.file=myfile ############################################################ ############################################################ # Global properties ############################################################ # "handlers" specifies a comma separated list of log Handler # classes. These handlers will be installed during VM startup. # Note that these classes must be on the system classpath. # By default we only configure a ConsoleHandler, which will only # show messages at the INFO and above levels. handlers= java.util.logging.ConsoleHandler # To also add the FileHandler, use the following line instead. #handlers= java.util.logging.FileHandler, java.util.logging.ConsoleHandler # Default global logging level. # This specifies which kinds of events are logged across # all loggers. For any given facility this global level # can be overriden by a facility specific level # Note that the ConsoleHandler also has a separate level # setting to limit messages printed to the console. .level= INFO ############################################################ # Handler specific properties. # Describes specific configuration info for Handlers. ############################################################ # default file output is in user's home directory. java.util.logging.FileHandler.pattern = %h/java%u.log java.util.logging.FileHandler.limit = 50000 java.util.logging.FileHandler.count = 1 java.util.logging.FileHandler.formatter = java.util.logging.XMLFormatter # Limit the message that are printed on the console to INFO and above. java.util.logging.ConsoleHandler.level = INFO java.util.logging.ConsoleHandler.formatter = java.util.logging.SimpleFormatter ############################################################ # Facility specific properties. # Provides extra control for each logger. ############################################################ # For example, set the com.xyz.foo logger to only log SEVERE # messages: com.xyz.foo.level = SEVERE Since I primarily use this method to track focus issues, here is how I get detailed awt focus related logging. Just set the logger name to java.awt.focus.level=FINEST and change the default log level to FINEST. Below is a basic sample program. The sample programs are from http://www2.cs.uic.edu/~sloan/CLASSES/java/ and have been modified to illustrate the logging API. By changing the .level property in the logging.properties file, one can control the output written to the logs. To play around with the example, try changing the levels in the logging.properties file and notice the difference in messages going to the log file. Example --------KeyboardReader.java------------------------------------------------------------------------------------- import java.io.*; import java.util.*; import java.util.logging.*; public class KeyboardReader { private static final Logger mylog = Logger.getLogger("samples.input"); public static void main (String[] args) throws java.io.IOException { String s1; String s2; double num1, num2, product; // set up the buffered reader to read from the keyboard BufferedReader br = new BufferedReader (new InputStreamReader (System.in)); System.out.println ("Enter a line of input"); s1 = br.readLine(); if (mylog.isLoggable(Level.SEVERE)) { mylog.log (Level.SEVERE,"The line entered is " + s1); } if (mylog.isLoggable(Level.INFO)) { mylog.log (Level.INFO,"The line has " + s1.length() + " characters"); } if (mylog.isLoggable(Level.FINE)) { mylog.log (Level.FINE,"Breaking the line into tokens we get:"); } int numTokens = 0; StringTokenizer st = new StringTokenizer (s1); while (st.hasMoreTokens()) { s2 = st.nextToken(); numTokens++; if (mylog.isLoggable(Level.FINEST)) { mylog.log (Level.FINEST, " Token " + numTokens + " is: " + s2); } } } } ----------MyFileReader.java---------------------------------------------------------------------------------------- import java.io.*; import java.util.*; import java.util.logging.*; public class MyFileReader extends KeyboardReader { private static final Logger mylog = Logger.getLogger("samples.input.file"); public static void main (String[] args) throws java.io.IOException { String s1; String s2; // set up the buffered reader to read from the keyboard BufferedReader br = new BufferedReader (new FileReader ("MyFileReader.txt")); s1 = br.readLine(); if (mylog.isLoggable(Level.SEVERE)) { mylog.log (Level.SEVERE,"ATTN The line is " + s1); } if (mylog.isLoggable(Level.INFO)) { mylog.log (Level.INFO, "The line has " + s1.length() + " characters"); } if (mylog.isLoggable(Level.FINE)) { mylog.log (Level.FINE,"Breaking the line into tokens we get:"); } int numTokens = 0; StringTokenizer st = new StringTokenizer (s1); while (st.hasMoreTokens()) { s2 = st.nextToken(); numTokens++; if (mylog.isLoggable(Level.FINEST)) { mylog.log (Level.FINEST,"Breaking the line into tokens we get:"); mylog.log (Level.FINEST," Token " + numTokens + " is: " + s2); } } //end of while } // end of main } // end of class ----------MyFileReader.txt------------------------------------------------------------------------------------------ My first logging example -------logging.properties------------------------------------------------------------------------------------------- handlers= java.util.logging.ConsoleHandler, java.util.logging.FileHandler .level= FINEST java.util.logging.FileHandler.pattern = java%u.log java.util.logging.FileHandler.limit = 50000 java.util.logging.FileHandler.count = 1 java.util.logging.FileHandler.formatter = java.util.logging.SimpleFormatter java.util.logging.ConsoleHandler.level = FINEST java.util.logging.ConsoleHandler.formatter = java.util.logging.SimpleFormatter java.awt.focus.level=ALL ------Output log------------------------------------------------------------------------------------------- May 21, 2012 11:44:55 AM MyFileReader main SEVERE: ATTN The line is My first logging example May 21, 2012 11:44:55 AM MyFileReader main INFO: The line has 24 characters May 21, 2012 11:44:55 AM MyFileReader main FINE: Breaking the line into tokens we get: May 21, 2012 11:44:55 AM MyFileReader main FINEST: Breaking the line into tokens we get: May 21, 2012 11:44:55 AM MyFileReader main FINEST: Token 1 is: My May 21, 2012 11:44:55 AM MyFileReader main FINEST: Breaking the line into tokens we get: May 21, 2012 11:44:55 AM MyFileReader main FINEST: Token 2 is: first May 21, 2012 11:44:55 AM MyFileReader main FINEST: Breaking the line into tokens we get: May 21, 2012 11:44:55 AM MyFileReader main FINEST: Token 3 is: logging May 21, 2012 11:44:55 AM MyFileReader main FINEST: Breaking the line into tokens we get: May 21, 2012 11:44:55 AM MyFileReader main FINEST: Token 4 is: example Invocation command: "C:\Program Files (x86)\Java\jdk1.6.0_29\bin\java.exe" -Djava.util.logging.config.file=logging.properties MyFileReader References Further technical details are available here: http://docs.oracle.com/javase/1.4.2/docs/guide/util/logging/overview.html#1.0 http://docs.oracle.com/javase/1.4.2/docs/api/java/util/logging/package-summary.html http://www2.cs.uic.edu/~sloan/CLASSES/java/

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  • Oracle HRMS API – Create Employee Element Entry

    - by PRajkumar
    API - pay_element_entry_api.create_element_entry Example -- Lets Try to Create Element Entry "Bonus" for Employee   DECLARE    ln_element_link_id                  PAY_ELEMENT_LINKS_F.ELEMENT_LINK_ID%TYPE;    ld_effective_start_date            DATE;    ld_effective_end_date             DATE;    ln_element_entry_id                PAY_ELEMENT_ENTRIES_F.ELEMENT_ENTRY_ID%TYPE;    ln_object_version_number     PAY_ELEMENT_ENTRIES_F.OBJECT_VERSION_NUMBER %TYPE;    lb_create_warning                    BOOLEAN;    ln_input_value_id                    PAY_INPUT_VALUES_F.INPUT_VALUE_ID%TYPE;    ln_screen_entry_value            PAY_ELEMENT_ENTRY_VALUES_F.SCREEN_ENTRY_VALUE%TYPE;    ln_element_type_id                  PAY_ELEMENT_TYPES_F.ELEMENT_TYPE_ID%TYPE; BEGIN         -- Get Element Link Id         -- ------------------------------           ln_element_link_id :=      hr_entry_api.get_link                                                           (       p_assignment_id      => 33561,                                                                   p_element_type_id   => 50417,                                                                   p_session_date          => TO_DATE('23-JUN-2011')                                                           );          dbms_output.put_line( '  API: Element Link Id: ' || ln_element_link_id );          -- Create Element Entry        -- ------------------------------        pay_element_entry_api.create_element_entry          (     -- Input data elements                -- -----------------------------                p_effective_date                     => TO_DATE('22-JUN-2011'),                p_business_group_id          => fnd_profile.value('PER_BUSINESS_GROUP_ID'),                p_assignment_id                   => 33561,                p_element_link_id                => ln_element_link_id,                p_entry_type                           => 'E',                p_input_value_id1               => 53726,                p_entry_value1                      => 2500,                -- Output data elements                -- --------------------------------                p_effective_start_date          => ld_effective_start_date,                p_effective_end_date           => ld_effective_end_date,                p_element_entry_id             => ln_element_entry_id,                p_object_version_number  => ln_object_version_number,                p_create_warning                 => lb_create_warning          );        dbms_output.put_line( '  API: pay_element_entry_api.create_element_entry successfull - Element Entry Id: ' || ln_element_entry_id );    COMMIT; EXCEPTION           WHEN OTHERS THEN                             ROLLBACK;                             dbms_output.put_line(SQLERRM); END; / SHOW ERR;  

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  • Tutorial: Getting Started with the NoSQL JavaScript / Node.js API for MySQL Cluster

    - by Mat Keep
    Tutorial authored by Craig Russell and JD Duncan  The MySQL Cluster team are working on a new NoSQL JavaScript connector for MySQL. The objectives are simplicity and high performance for JavaScript users: - allows end-to-end JavaScript development, from the browser to the server and now to the world's most popular open source database - native "NoSQL" access to the storage layer without going first through SQL transformations and parsing. Node.js is a complete web platform built around JavaScript designed to deliver millions of client connections on commodity hardware. With the MySQL NoSQL Connector for JavaScript, Node.js users can easily add data access and persistence to their web, cloud, social and mobile applications. While the initial implementation is designed to plug and play with Node.js, the actual implementation doesn't depend heavily on Node, potentially enabling wider platform support in the future. Implementation The architecture and user interface of this connector are very different from other MySQL connectors in a major way: it is an asynchronous interface that follows the event model built into Node.js. To make it as easy as possible, we decided to use a domain object model to store the data. This allows for users to query data from the database and have a fully-instantiated object to work with, instead of having to deal with rows and columns of the database. The domain object model can have any user behavior that is desired, with the NoSQL connector providing the data from the database. To make it as fast as possible, we use a direct connection from the user's address space to the database. This approach means that no SQL (pun intended) is needed to get to the data, and no SQL server is between the user and the data. The connector is being developed to be extensible to multiple underlying database technologies, including direct, native access to both the MySQL Cluster "ndb" and InnoDB storage engines. The connector integrates the MySQL Cluster native API library directly within the Node.js platform itself, enabling developers to seamlessly couple their high performance, distributed applications with a high performance, distributed, persistence layer delivering 99.999% availability. The following sections take you through how to connect to MySQL, query the data and how to get started. Connecting to the database A Session is the main user access path to the database. You can get a Session object directly from the connector using the openSession function: var nosql = require("mysql-js"); var dbProperties = {     "implementation" : "ndb",     "database" : "test" }; nosql.openSession(dbProperties, null, onSession); The openSession function calls back into the application upon creating a Session. The Session is then used to create, delete, update, and read objects. Reading data The Session can read data from the database in a number of ways. If you simply want the data from the database, you provide a table name and the key of the row that you want. For example, consider this schema: create table employee (   id int not null primary key,   name varchar(32),   salary float ) ENGINE=ndbcluster; Since the primary key is a number, you can provide the key as a number to the find function. function onSession = function(err, session) {   if (err) {     console.log(err);     ... error handling   }   session.find('employee', 0, onData); }; function onData = function(err, data) {   if (err) {     console.log(err);     ... error handling   }   console.log('Found: ', JSON.stringify(data));   ... use data in application }; If you want to have the data stored in your own domain model, you tell the connector which table your domain model uses, by specifying an annotation, and pass your domain model to the find function. var annotations = new nosql.Annotations(); function Employee = function(id, name, salary) {   this.id = id;   this.name = name;   this.salary = salary;   this.giveRaise = function(percent) {     this.salary *= percent;   } }; annotations.mapClass(Employee, {'table' : 'employee'}); function onSession = function(err, session) {   if (err) {     console.log(err);     ... error handling   }   session.find(Employee, 0, onData); }; Updating data You can update the emp instance in memory, but to make the raise persistent, you need to write it back to the database, using the update function. function onData = function(err, emp) {   if (err) {     console.log(err);     ... error handling   }   console.log('Found: ', JSON.stringify(emp));   emp.giveRaise(0.12); // gee, thanks!   session.update(emp); // oops, session is out of scope here }; Using JavaScript can be tricky because it does not have the concept of block scope for variables. You can create a closure to handle these variables, or use a feature of the connector to remember your variables. The connector api takes a fixed number of parameters and returns a fixed number of result parameters to the callback function. But the connector will keep track of variables for you and return them to the callback. So in the above example, change the onSession function to remember the session variable, and you can refer to it in the onData function: function onSession = function(err, session) {   if (err) {     console.log(err);     ... error handling   }   session.find(Employee, 0, onData, session); }; function onData = function(err, emp, session) {   if (err) {     console.log(err);     ... error handling   }   console.log('Found: ', JSON.stringify(emp));   emp.giveRaise(0.12); // gee, thanks!   session.update(emp, onUpdate); // session is now in scope }; function onUpdate = function(err, emp) {   if (err) {     console.log(err);     ... error handling   } Inserting data Inserting data requires a mapped JavaScript user function (constructor) and a session. Create a variable and persist it: function onSession = function(err, session) {   var data = new Employee(999, 'Mat Keep', 20000000);   session.persist(data, onInsert);   } }; Deleting data To remove data from the database, use the session remove function. You use an instance of the domain object to identify the row you want to remove. Only the key field is relevant. function onSession = function(err, session) {   var key = new Employee(999);   session.remove(Employee, onDelete);   } }; More extensive queries We are working on the implementation of more extensive queries along the lines of the criteria query api. Stay tuned. How to evaluate The MySQL Connector for JavaScript is available for download from labs.mysql.com. Select the build: MySQL-Cluster-NoSQL-Connector-for-Node-js You can also clone the project on GitHub Since it is still early in development, feedback is especially valuable (so don't hesitate to leave comments on this blog, or head to the MySQL Cluster forum). Try it out and see how easy (and fast) it is to integrate MySQL Cluster into your Node.js platforms. You can learn more about other previewed functionality of MySQL Cluster 7.3 here

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  • Arch Linux with an nginx/django setup refuses to display ANYTHING

    - by Holland
    I'm on Amazon Ec2, with an Arch Linux server. While I truly am loving it, I'm having the issue of actually getting nginx to display anything. Everytime I try to throw my hostname into the browser, the browser states that it's not available for some reason - almost as if the host doesn't even exist. One thing I'd like to know is, how can I get this up and running? Is there a specific arch linux configuration I have to do to make it web accessible? I have port 80 open, as well as port 22. I've tried using gunicorn, python-flup, and nginx. Nginx Config user http; worker_processes 1; #error_log logs/error.log; #error_log logs/error.log notice; #error_log logs/error.log info; pid logs/nginx.pid; events { worker_connections 1024; } http { include mime.types; default_type application/octet-stream; log_format main '$remote_addr - $remote_user [$time_local] "$request" ' '$status $body_bytes_sent "$http_referer" ' '"$http_user_agent" "$http_x_forwarded_for"'; access_log logs/access.log main; sendfile on; #tcp_nopush on; #keepalive_timeout 0; keepalive_timeout 65; #gzip on; server { listen 80; server_name _; access_log /var/log/nginx/access.log; error_log /var/log/nginx/error.log; #charset koi8-r; location ^~ /media/ { root /path/to/media; } location ^~ /admin-media/ { root /usr/lib/python2.7/site-packages/django/contrib/admin/media; } location / { root /path/to/root/; fastcgi_pass 127.0.0.1:8080; fastcgi_param SERVER_NAME $server_name; fastcgi_param SERVER_PORT $server_port; fastcgi_param SERVER_PROTOCOL $server_protocol; fastcgi_param PATH_INFO $fastcgi_script_name; fastcgi_param REQUEST_METHOD $request_method; fastcgi_param QUERY_STRING $query_string; fastcgi_param CONTENT_TYPE $content_type; fastcgi_param CONTENT_LENGTH $content_length; fastcgi_pass_header Authorization; fastcgi_intercept_errors off; fastcgi_index index.html; index index.htm index.html; } error_page 500 502 503 504 /50x.html; location = /50x.html { root /etc/nginx/html/50x.html; } } # server { # listen 80; # server_name localhost; #charset koi8-r; #access_log logs/host.access.log main; # location / { # root html; # index index.html index.htm; # } #error_page 404 /404.html; # redirect server error pages to the static page /50x.html # #error_page 500 502 503 504 /50x.html; #location = /50x.html { root html; #} # proxy the PHP scripts to Apache listening on 127.0.0.1:80 # #location ~ \.php$ { # proxy_pass http://127.0.0.1; #} # pass the PHP scripts to FastCGI server listening on 127.0.0.1:9000 # #location ~ \.php$ { # root html; # fastcgi_pass 127.0.0.1:9000; # fastcgi_index index.php; # fastcgi_param SCRIPT_FILENAME /scripts$fastcgi_script_name; # include fastcgi_params; #} # deny access to .htaccess files, if Apache's document root # concurs with nginx's one # #location ~ /\.ht { # deny all; #} #} # another virtual host using mix of IP-, name-, and port-based configuration # #server { # listen 8000; # listen somename:8080; # server_name somename alias another.alias; # location / { # root html; # index index.html index.htm; # } #} # HTTPS server # #server { # listen 443; # server_name localhost; # ssl on; # ssl_certificate cert.pem; # ssl_certificate_key cert.key; # ssl_session_timeout 5m; # ssl_protocols SSLv2 SSLv3 TLSv1; # ssl_ciphers HIGH:!aNULL:!MD5; # ssl_prefer_server_ciphers on; # location / { # root html; # index index.html index.htm; # } #} } I can't quite tell if it's a server issue or a configuration issue: I've followed so many guides now I can't even count them all. The thing is that Django itself is working fine, and my permissions to the document root of the where the site files are stored is 777. Ontop of that, I have a git repo which works perfectly fine, and django, python, and runfcgi all start without issues. The same goes for gunicorn, when I do a gunicorn_django -b 0.0.0.0:8000 in my document root. Here is my output from that: 2012-04-15 05:17:37 [3124] [INFO] Starting gunicorn 0.14.2 2012-04-15 05:17:37 [3124] [INFO] Listening at: http://0.0.0.0:8081 (3124) 2012-04-15 05:17:37 [3124] [INFO] Using worker: sync 2012-04-15 05:17:37 [3127] [INFO] Booting worker with pid: 3127 As far as I know, everything seems fine, as well as error.log and access.log for nginx. The access log is completely blank, for that matter. I just feel lost here; what would be a step in the right direction to bebugging an issue such as this?

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