Search Results

Search found 19871 results on 795 pages for 'commit log'.

Page 12/795 | < Previous Page | 8 9 10 11 12 13 14 15 16 17 18 19  | Next Page >

  • Exception Handling Frequency/Log Detail

    - by Cyborgx37
    I am working on a fairly complex .NET application that interacts with another application. Many single-line statements are possible culprits for throwing an Exception and there is often nothing I can do to check the state before executing them to prevent these Exceptions. The question is, based on best practices and seasoned experience, how frequently should I lace my code with try/catch blocks? I've listed three examples below, but I'm open to any advice. I'm really hoping to get some pros/cons of various approaches. I can certainly come up with some of my own (greater log granularity for the O-C approach, better performance for the Monolithic approach), so I'm looking for experience over opinion. EDIT: I should add that this application is a batch program. The only "recovery" necessary in most cases is to log the error, clean up gracefully, and quit. So this could be seen to be as much a question of log granularity as exception handling. In my mind's eye I can imagine good reasons for both, so I'm looking for some general advice to help me find an appropriate balance. Monolitich Approach class Program{ public static void Main(){ try{ Step1(); Step2(); Step3(); } catch (Exception e) { Log(e); } finally { CleanUp(); } } public static void Step1(){ ExternalApp.Dangerous1(); ExternalApp.Dangerous2(); } public static void Step2(){ ExternalApp.Dangerous3(); ExternalApp.Dangerous4(); } public static void Step3(){ ExternalApp.Dangerous5(); ExternalApp.Dangerous6(); } } Delegated Approach class Program{ public static void Main(){ try{ Step1(); Step2(); Step3(); } finally { CleanUp(); } } public static void Step1(){ try{ ExternalApp.Dangerous1(); ExternalApp.Dangerous2(); } catch (Exception e) { Log(e); throw; } } public static void Step2(){ try{ ExternalApp.Dangerous3(); ExternalApp.Dangerous4(); } catch (Exception e) { Log(e); throw; } } public static void Step3(){ try{ ExternalApp.Dangerous5(); ExternalApp.Dangerous6(); } catch (Exception e) { Log(e); throw; } } } Obsessive-Compulsive Approach class Program{ public static void Main(){ try{ Step1(); Step2(); Step3(); } finally { CleanUp(); } } public static void Step1(){ try{ ExternalApp.Dangerous1(); } catch (Exception e) { Log(e); throw; } try{ ExternalApp.Dangerous2(); } catch (Exception e) { Log(e); throw; } } public static void Step2(){ try{ ExternalApp.Dangerous3(); } catch (Exception e) { Log(e); throw; } try{ ExternalApp.Dangerous4(); } catch (Exception e) { Log(e); throw; } } public static void Step3(){ try{ ExternalApp.Dangerous5(); } catch (Exception e) { Log(e); throw; } try{ ExternalApp.Dangerous6(); } catch (Exception e) { Log(e); throw; } } } Other approaches welcomed and encouraged. Above are examples only.

    Read the article

  • How can I undo my last git add/commit ?

    - by dan
    I edited a file and did: git add file.py git commit -m 'fixed bug' I then edited another file and performed a minor bug fix. I don't want two commits, one after the other, showing 'bug fix'. I want one commit with 'bug fixes'. How can I undo the last add/commit and change the first commit message? I was looking at the git reset, git revert, git undo commands but I don't want to screw up my repo with a guess EDIT: Found out how to do it: http://www.gitready.com/advanced/2009/02/10/squashing-commits-with-rebase.html

    Read the article

  • Can a large transaction log cause cpu hikes to occur

    - by Simon Rigby
    Hello all, I have a client with a very large database on Sql Server 2005. The total space allocated to the db is 15Gb with roughly 5Gb to the db and 10 Gb to the transaction log. Just recently a web application that is connecting to that db is timing out. I have traced the actions on the web page and examined the queries that execute whilst these web operation are performed. There is nothing untoward in the execution plan. The query itself used multiple joins but completes very quickly. However, the db server's CPU hikes to 100% for a few seconds. The issue occurs when several simultaneous users are working on the system (when I say multiple .. read about 5). Under this timeouts start to occur. I suppose my question is, can a large transaction log cause issues with CPU performance? There is about 12Gb of free space on the disk currently. The configuration is a little out of my hands but the db and log are both on the same physical disk. I appreciate that the log file is massive and needs attending to, but I'm just looking for a heads up as to whether this may cause CPU spikes (ie trying to find the correlation). The timeouts are a recent thing and this app has been responsive for a few years (ie its a recent manifestation). Many Thanks,

    Read the article

  • Git: Stage into Commit, what is the right workflow?

    - by Lukasz Lew
    I just created a big piece of code I want to commit in several separate commits. So I can stage relevant parts, commit, stage, commit, ... and so on until I have all my changes commited. The missing part is how can I test whether I split the commit correcty. I.e. whether the part that is in staging area at least compiles? To do that I must somehow bring my work tree to be in sync with index (staging area) without losing the changes to be committed later. What is the right way to do it? What is the quickest way to do it? Update: How to do it with magit?

    Read the article

  • Unable to retrieve the complete description string of the event log record

    - by Santosh Pillai
    Hi All, I have an MFC application that reads and displays event log records using the ::ReadEventLog() API. The problem is with reading the "Description" message string of the event log record. The MFC application is unable to read the complete "Description" message string and displays only some part of it. However the Windows System Event Log Viewer reads and displays the complete "Description" message string correctly. I have ensured that my MFC application reads the entire "Description" message string by retrieving all the strings as provided by the "NumStrings" and "StringOffset" member variables of the EVENTLOGRECORD structure and merging all of them. Also as mentioned in MSDN my application loads the Source Name specific message library file (whose path is specified in the registry at HKEY_LOCAL_MACHINE\SYSTEM\CurrentControlSet\Services\EventLog\Application[SourceName]) that further contains additional message string information and merges it with the earlier read strings. I am still unable to get the entire "Description" message string. Please provide any help towards resolving the issue. Regards, Santosh.

    Read the article

  • Redirect Log output to sdcard on customer's phone

    - by Tom
    My customers are having a problem with my app, and I have been unable to reproduce the problem on my development phone. How to debug this problem? The android Log class is great, but my customers do not know how to use 'adb' or the USB debug cable. Is there some way to redirect Log output to a file on the phone's SD card? Then the customer could easily email the log file to me. Even if this redirection requires programming on my part, I could at least distribute a 'debug' version of the app. Thanks, Tom

    Read the article

  • Monitoring Log Shipped Databases

    - by Registered User
    I need a consistent way to monitor databases that are read-only log shipped copies of production databases. In the past I have relied on the following methods: Set the job that restores logs to the database kick off another job as its last step. Set the job that restores logs to the database to insert a record in a control table as its last step. Query the msdb database to check the status of the job that restores logs to the database. Query a control table inside the database itself that gets a value immediately before transaction logs are backed up. Query MAX values from tables inside the database to see if it has recent changes. Although the above methods work, they can't be implemented for every log shipped database that I query for various reasons. What is the best method for monitoring the "data as of" date for a log shipped database?

    Read the article

  • Batch & log files

    - by Mat
    Hi All, Please help!!! ;) I have a problem with this code in a batch file (Linux): Mil=`date +"%Y%m%d%H%M%S"` batch=`echo "${DatMusic}"` TabimportEnteteMusic="importentetemusic.dat" { grep '^ENTETE' ${IMPORT}/${DatMusic} > ${IMPORT}/$TabimportEnteteMusic mysql -u basemine --password="basemine" -D basemine -e "delete from importmusic;" mysql -u basemine --password="basemine" -D basemine -e "delete from importentetemusic;" } >> $TRACES/batch/$Mil.$batch.log 2>&1 When I run this batch, its answer is: /home/mmoine/sgbd_mysql/batch/importMusic.sh: line 51: /batch/20100319160018.afce01aa.cr.log: Aucun fichier ou répertoire de ce type (in english, I suppose: "No files or Directory found") So, please, how can I put all generated messages in this log file? Thanks for your answers. Sorry for my english ;)

    Read the article

  • Why not commit unresolved changes?

    - by Explosion Pills
    In a traditional VCS, I can understand why you would not commit unresolved files because you could break the build. However, I don't understand why you shouldn't commit unresolved files in a DVCS (some of them will actually prevent you from committing the files). Instead, I think that your repository should be locked from pushing and pulling, but not committing. Being able to commit during the merging process has several advantages (as I see it): The actual merge changes are in history. If the merge was very large, you could make periodic commits. If you made a mistake, it would be much easier to roll back (without having to redo the entire merge). The files could remain flagged as unresolved until they were marked as resolved. This would prevent pushing/pulling. You could also potentially have a set of changesets act as the merge instead of just a single one. This would allow you to still use tools such as git rerere. So why is committing with unresolved files frowned upon/prevented? Is there any reason other than tradition?

    Read the article

  • Did you know you can shrink a transaction log even when log shipping?

    - by simonsabin
    David's posted a great post on shrinking the transaction log and log shipping. Log shipping and shrinking transaction logs Unlike shrinking the data file shrinking the transaction log isn't a bad thing, IF you don't need the log to be that size. I've seen many systems that shrink the log because it has grown only for it to grow the next day to the same size becuase of an overnight operation. To reduce the growth of the transaction log you need to do one or more of the following, 1.Back it up more frequently2.Change to simple recovery model3.Use minimally logged operations4.Keep transactions short and small5.Break large transactions into smaller transactions6.If using replication ensure that your backup of the replication topology is frequent enough

    Read the article

  • Is there a log file analyzer for log4j files?

    - by Juha Syrjälä
    I am looking for some kind of analyzer tool for log files generated by log4j files. I am looking something more advanced than grep? What are you using for log file analysis? I am looking for following kinds of features: The tool should tell me how many time a given log statement or a stack trace has occurred, preferably with support for some kinds of patterns (eg. number of log statements matching 'User [a-z]* logged in'). Breakdowns by log level (how many INFO, DEBUG lines) and by class that initiated the log message would be nice. Breakdown by date (how many log statements in given time period) What log lines occur commonly together? Support for several files since I am using log rolling Hot spot analysis: find if there is a some time period when there is unusually high number of log statements Either command-line or GUI are fine Open Source is preferred but I am also interested in commercial offerings My log4j configuration uses org.apache.log4j.PatternLayout with pattern %d %p %c - %m%n but that could be adapted for analyzer tool.

    Read the article

  • egg git interface for emacs, commit message empty

    - by Gauthier
    I'm using egg (emacs got git) as git interface in emacs. Whenever I try to achieve a commit --amend, I receive a "GIT-COMMIT-AMEND> Aborting commit due to empty commit message". This is what i do: C-u C-x v c Then the commit buffer appears, with the message of my previous commit. Then upon C-c C-c I get the message stated above: empty commit message. I think I've had this behaviour with regular commits (as in not amend) before, but can't remember or find how I solved it. I tried editing the message (adding a space somewhere). No work. I tried saving the buffer before committing, that wouldn't work either (since C-c C-c is not active in another buffer than the commit buffer). Any clue?

    Read the article

  • Glassfish log files analysis

    - by Cem
    Can I get some recommendations for good log analysis software for Glassfish log files? Since it will not vary from application server to application server dramatically, I guess that there is a common solution for all servers. Thanks

    Read the article

  • What consequences to take from what i read in logfiles?

    - by Helene Bilbo
    Since some weeks i manage my first Webserver, a Seaside application behind an Apache proxy on Linode, and i installed logwatch to send me daily logs. Where can i get information on when i have to act as a consequence of what i read in these logwatch reports? For example i read that all kinds of people try to login on funny nonexisting accounts or all kinds of webcrawlers test for nonexisting cms login pages, some ip adresses get banned and unbanned by fail2ban... I assume that's normal? Is it? But how do i know that i probably have to do something? What do i look for in the logs?

    Read the article

  • nginx start failing, says error.log doesn't exist

    - by Blankman
    I structured my sites like: /home/www/domain.com/public,private, log, backup In the log folder, I created a blank error.log and access.log. My nginx file in sites-available for the domain looks like: server { access_log /home/www/domain1.com/log/access.log; error_log /home/www/domain1.com/log/error.log; } Trying to start nginx it says: starting nginx: the config file /etc/nginx/nginx/conf syntax is ok [emrg] open() ".../access.log" failed (2: no such file or directory) Is this a permission issue?

    Read the article

  • nginx start failing, says error.log doesn't exist

    - by sososo
    I structured my sites like: /home/www/domain.com/public,private, log, backup In the log folder, I created a blank error.log and access.log. My nginx file in sites-available for the domain looks like: server { access_log /home/www/domain1.com/log/access.log; error_log /home/www/domain1.com/log/error.log; } Trying to start nginx it says: starting nginx: the config file /etc/nginx/nginx/conf syntax is ok [emrg] open() ".../access.log" failed (2: no such file or directory) Is this a permission issue?

    Read the article

  • Log "date -s" command

    - by LinuxPenseur
    Hi, I know that the date -s <STRING> command sets the time described by the string STRING. What i want is to log the above command whenever it is used to set the time into the file /tmp/log/user.log. In my Linux distribution the logging is done by syslog-ng. I already have some logs going into /tmp/log/user.log. This is the content of /etc/syslog-ng/syslog-ng.conf in my system for logging into /tmp/log/user.log destination d_notice { file("/tmp/log/user.log");}; filter f_filter10 { level(notice) and not facility(mail,authpriv,cron); }; log { source(s_sys); filter(f_filter10); destination(d_notice); }; What should i do so that date -s command is also logged into /tmp/log/user.log

    Read the article

  • Python/Django: log to console under runserver, log to file under Apache

    - by Justin Grant
    How can I send trace messages to the console (like print) when I'm running my Django app under manage.py runserver, but have those messages sent to a log file when I'm running the app under Apache? I reviewed Django logging and although I was impressed with its flexibility and configurability for advanced uses, I'm still stumped with how to handle my simple use-case. My apologies for not being able to find the answer elsewhere-- this is a newbie question I know.

    Read the article

  • Optimizing Transaction Log Throughput

    As a DBA, it is vital to manage transaction log growth explicitly, rather than let SQL Server auto-growth events "manage" it for you. If you undersize the log, and then let SQL Server auto-grow it in small increments, you'll end up with a very fragmented log. Examples in the article, extracted from SQL Server Transaction Log Management by Tony Davis and Gail Shaw, demonstrate how this can have a significant impact on the performance of any SQL Server operations that need to read the log.

    Read the article

  • rails test.log is always empty

    - by Raiden
    All the log entries generated when running tests with 'rake' are written to my development.log instead of test.log file Do I have to explicitly enable logging for test in enviornments/test.config?? (I'm using 'turn' gem to format test output, Can that cause an issue?) I'm running rails 2.3.5, ruby 1.8.7 I've all these gems installed for RAILS_ENV=test. Any help is appreciated. -[I] less -[I] treetop = 1.4.2 - [I] polyglot = 0.2.5 - [I] mutter = 0.4.2 - [I] mysql - [I] authlogic - [R] activesupport - [I] turn - [I] ansi = 1.1.0 - [I] facets = 2.8.0 - [I] rspec = 1.2.0 - [I] rspec-rails = 1.2.0 - [I] rspec = 1.3.0 - [R] rack = 1.0.0 - [I] webrat = 0.4.3 - [I] nokogiri = 1.2.0 - [R] rack = 1.0 - [I] rack-test = 0.5.3 - [R] rack = 1.0 - [I] cucumber = 0.2.2 - [I] term-ansicolor = 1.0.4 - [I] treetop = 1.4.2 - [I] polyglot = 0.2.5 - [I] polyglot = 0.2.9 - [R] builder = 2.1.2 - [I] diff-lcs = 1.1.2 - [R] json_pure = 1.2.0 - [I] cucumber-rails - [I] cucumber = 0.6.2 - [I] term-ansicolor = 1.0.4 - [I] treetop = 1.4.2 - [I] polyglot = 0.2.5 - [I] polyglot = 0.2.9 - [R] builder = 2.1.2 - [I] diff-lcs = 1.1.2 - [R] json_pure = 1.2.0 - [I] database_cleaner = 0.2.3 - [I] launchy - [R] rake = 0.8.1 - [I] configuration = 0.0.5 - [I] faker - [I] populator - [R] flog = 2.1.0 - [R] flay - [I] rcov - [I] reek - [R] ruby_parser ~ 2.0 - [I] ruby2ruby ~ 1.2 - [R] sexp_processor ~ 3.0 - [R] ruby_parser ~ 2.0 - [R] sexp_processor ~ 3.0 - [I] roodi - [R] ruby_parser - [I] gruff - [I] rmagick - [I] ruby-prof - [R] jscruggs-metric_fu = 1.1.5 - [I] factory_girl - [I] notahat-machinist

    Read the article

< Previous Page | 8 9 10 11 12 13 14 15 16 17 18 19  | Next Page >