similar to: Double work at Model.rebuild_index

Gents, I installed ferret successfully in my MacOS (rails development) using the gem install. I did some tests and everything worked fine. Then I tried to install it on the same way on my production environment at TextDrive? running OpenSolaris? (container). This time ''gem install ferret'' seems to be completed: [92140-AA:~/web/labs/blogblogs/trunk] root# gem install ferret

There is serious memory leak bug in ferret. I''m having this error on TextDrive Container (aka. Joyent Accelerators) OpenSolaris with Ferret 0.11.4 It happens while searching for some terms with accented or special characters. This makes ferret to allocate lots of memory (usually reaching 3+ GB) and failing if another query like this is executed. Any ideas on that, could this be locale

Hi, I use ruby console to experiment acts_as_ferret, but I ran into file rename error when I try to rebuild index after doing a search. is this normal? I am using Ferret 0.10.9 in windows XP. Loading development environment. >> Address.rebuild_index => {} >> Address.find_by_contents(''US'') => #<ActsAsFerret::SearchResults:0x4f2ffcc @total_hits=2,

Is there any way for the automatic ''rebuild_index'' of ''acts_as_ferret'' from exclude certain records from being included in the index? -- Posted via http://www.ruby-forum.com/.

I''ve been running the super latest AAF plugin with a mongrel cluster/ferret_server combo smoothly for a few days in production mode, indexing 4 models with no surprises. Only now when I try including some new Models to be indexed, the ferret_server fails to index with ferret server error undefined method `_'' for Summary:Class (it creates the dir on index/production, tho) and

I''m switching all my fulltext searching over to ferret using the acts_as_ferret plugin on windows (for development, will be deployed on linux). In my tests I have a setup method as follows to ensure the index is reset for each test: def setup Item.rebuild_index end This works fine for the initial few tests but then suddenly fails for the last few tests when it seems to be

Previously when I used to build index i used to get false in return. >> Event.rebuild_index => false Now I get this. >> Event.rebuild_index => {} Following changes took place. 1) I moved my app from FCGI to mongrel. 2) I moved my app to capistrano. Before moving to capistrano the code was acts_as_ferret :fields => [ "name", "desc_uf" ] Now the code

I''m switching all my fulltext searching over to ferret using the acts_as_ferret plugin on windows (for development, will be deployed on linux). In my tests I have a setup method as follows to ensure the index is reset for each test: def setup Item.rebuild_index end This works fine for the initial few tests but then suddenly fails for the last few tests when it seems to be failing

Hi, I''m running the edge Typo and the latest acts_as_ferret plugin and ferret gems (as of 11 April). In my Content model I put acts_as_ferret :fields => [:title, :body] In the console, I call Content.rebuild_index to index all of my existing content. All the directories get created etc, but I get the following error back: Loading development environment. >>

Hi I use Ferret 0.11.4 and the latest stabel version of the acts_as_ferret plugin. To the issue. if I do Model.rebuild_index and after that try to update one of my objects of that Model I get: File Not Found Error occured at <except.c>:117 in xpop_context Error occured in fs_store.c:329 - fs_open_input tried to open

I have a server with 4 nics. Two are using different internet connections, both with static IP's, and two are connected to our private network. The two internet facing nics seem to be battling over the gateway designation. Which ever I designate as the gateway the other stops responding to incoming traffic. I need both to listen to inbound traffic. One for our main web page and the other

Dear All: I am trying to calculate four columns' means in a dataframe like this: FID MID IID EW_INCU EW_17.5 EMW EEratio 1 4621 TWF2H5 45.26 NA 15.61 NA 1 4621 TWF2H6 48.02 44.09 13.41 0.3041506 2 4630 TWF2H19 51.44 47.81 NA NA 2 4631 TWF2H21 NA 52.72 16.70

Hi All, I am attempting to work with some data from loggers. I have read in a .csv exported from MS Access that already has my dates and times (in 24 clock format), (with StringsAsFactors=FALSE). > head(tdata) LogData date time 1 77.16 2008/04/24 02:00 2 61.78 2008/04/24 04:00 3 75.44 2008/04/24 06:00 4 89.43 2008/04/24

Hi [macOSX 10.4.6; R-2.3.0] I have encountered a difference in behaviour between R-2.2.1 and R-2.3.0 when performing a linear model. Transcript follows for R-2.3.0 (R-2.2.1 worked as expected). How to make R-2.3.0 perform as R-2.2.1 did? > dput(x) c(29.13, 29.88, 30.09, 29.99, 29.74, 29.64, 29.65, 29.7, 30.04, 29.89, 29.96, 29.65, 28.76, 28.41, 28.38, 29.55, 29.76, 29.75, 29.84,

Gents, I successfully installed AAF on my TextDrive OpenSolaris Container, but I''m having some issues with indexing. I have a model called Blogs which has AAF enabled. The first time I tried to find_by_contents for a ''word'' I know was on the Database I got now results. Apparently the index was not ready yet. Then I waited a few hours and checked that the /index

R Help - I'm trying to run a correlation matrix with a covariate of "age" and will at some point will also want to covary other variables concurrently. I'm using the "psych" package and have tried other methods such as writing a loop to extract semi-partial correlations, but it does not seem to be working. How can I accomplish this? library(psych) > set.cor(y =

Hello, Using the following lines of code, I created the following graph:

Hello, Using the following lines of code, I created the following graph:

Hello, Darik Horn sent a pull request adding support for LZ4. LZ4 is supposed to be a very fast compression algorithm, especially when it comes to decompression. I did a quick benchmark with zlib, LZO and LZ4. Now, there are many benchmarks you can find online, but most of them deal with compressing large files. Tinc on the other hand has to compress small packets individually. So I did the

Dear R community, The next release of package ff is available on CRAN. With kind help of Brian Ripley it now supports the Win64 and Sun versions of R. It has three major functional enhancements: a) new fast in-memory sorting and ordering functions (single-threaded) b) ff now supports on-disk sorting and ordering of ff vectors and ffdf dataframes c) ff integer vectors now can be used as