similar to: Indexing fails -- _ntc6.tmp exceeds 2 gigabyte maximum

I was optimizing a 650MB using ferret (0.11.3) and I received the following error. I''ve seen some people have similar issues but I haven''t seen any resolutions. The contents of the index directory follow the error. Has anyone seen anything like this and found a resolution? Many thanks. /mnt/apps/search/releases/20070622175637/script/../config/../vendor/

I am indexing over 10,000 rows of data, it is very slow when it is indexing the 100,1000,10000 row, and now it is over 1 hour passed on the row 10,000. how to make it faster? here is my code: ================== doc = Document.new doc << Field.new("id", t.id, Field::Store::YES, Field::Index::UNTOKENIZED) doc << Field.new("title", t.title,

The following exception occurred while trying optimize a large index: vendor/gems/rdig-0.3.4/lib/rdig/index.rb:46:in `optimize'': End-of- File Error occured at <except.c>:93 in xraise (EOFError) Error occured in store.c:216 - is_refill current pos = 0, file length = 0 Now, I get the following error any time I try to create a new index on the directory that I was trying

Hello, I''m usin gferret and I''ve just attempted to build an index that contains 15,968,046 documents. I''ve rebuild the index from scratch, but when I try to search for some items I get this error: IOError: IO Error occured at <except.c>:79 in xraise Error occured in fs_store.c:289 - fsi_seek_i seeking pos -1284143798: <Invalid argument> This is

Hello, Ferret created a 4.5GB> index file. $ 4534029210 2007-02-26 12:46 _el.cfs The creation of the index went smoothly. Searching through this index also works fine. However whenever I try to get the contents of an indexed document I get an error when the document number is above 621108: irb(main):080:0> searcher[621108].load IOError: IO Error occured at <except.c>:79 in xraise

I have a large index (~6GB, ~1 million docs) that was built by RDig. I wrote a script to iterate through the index to clear out some duplicate information to try to reduce the size of the index. clients.each {|client| docs = RDig.searcher.search("+supplier_id:#{client.id}") docs.each {|doc| data = doc[:data].dup #the contents of the web page new_results = {}

Is there any way to do this (test for the existence of a file) in R? In Splus (3.4) I can do unix(paste("test -r", fnm), output = F) where ``fnm'' is a character string giving the pathname of the file. This returns 0 if the file exists and 256 if it doesn't. I thought in R to do something like system(paste("test -r", fnm), intern =T) but this

Hi Olly, I tried to reach you through Github notifications(email) about this issue but with no reply, so I thought we could discuss this issue here, I saw three critical problems in the last patch. 1. Adding code to wrong '#if', i added it to else branch 2. Figuring out 'fd', holding the lock and 'fnm' as in windows 'fnm' differs Help me out here, and Mention

Dear all I would like to ask you if an assignment can be done inside a lapply statement. For example I would like to covert a double nested for loop for (i in c(1:dimx)){ for (j in c(1:dimy)){ Powermap[i,j] <- Pr(c(i,j),c(PRX,PRY),f) } } to something like that: ij<-expand.grid(i=seq(1:dimx),j=(1:dimy)) unlist(lapply(1:nrow(ij),function(rowId) { return

Hi All, Just hoping some one can give me a hand with a problem... I have a dataframe (DF) with about 5 million entries that looks something like the following: >DF ID Cl Co Brd Ind A AB AB 1 S-3 IND A BR_F BR_F01 1 0 0 2 S-3 IND A BR_F BR_F01 1 0 0 3 S-3 IND A BR_F BR_F01 1 0 0 4 S-3 IND A BR_F BR_F01 1 0 0 5 S-3 IND A BR_F BR_F01 1 0 0 6 S-3 IND A BR_F

I can output two histograms of variables AXFILTERED and AZPTOP as follows: win.metafile(filename="C:/AXFILTERED.emf",pointsize=12) hist(AXFILTERED,breaks=40) dev.off() win.metafile(filename="C:/AZPTOP.emf",pointsize=12) hist(AZPTOP,breaks=40) dev.off() But, I actually have a dataframe of 120 variables that I would like histograms of. Any solutions that would save me from

Hi all I have a large dataframe with (among others) a categorical variable of 52 levels and would like to create a barplot with the bars ordered in decreasing frequency of the levels. I belive it is referred to as a pareto plot. Consider a subset where I keep only the categorical variable in question. # Example: v1 = c("aa", "cc", "bb", "bb",

Is someone working on the infamous high frequency boost effect ? S.Gesemann published an interesting paper three months ago: http://www.xiph.org/archives/vorbis-dev/200403/att-0005/01-sq.pdf <p> -- Giuliano. --- >8 ---- List archives: http://www.xiph.org/archives/ Ogg project homepage: http://www.xiph.org/ogg/ To unsubscribe from this list, send a message to

Estimados Soy un nuevo usario de R, y estoy usando como base de datos el European Social Survey, que tiene datos de 40,000 individuos, y alrededor de 23 países europeos. Lo que he seleccionado es la útima ola, el round 7, para el año 2014. He leido los datos, desde SPSS y aquí tienen la base de datos y que tipo de objetos se han generado, y tambíen la distribución por pais de la muestra. No he

Gracias. Alguna idea de que usar para calcular los porcentajes y almacenarlos. Se puede usar flat table? El 18/06/2017 4:50 p. m., "Carlos J. Gil Bellosta" <cgb en datanalytics.com> escribió: > Los porcentajes que obtienes con tu código son sobre todas las facetas, no > país a país. > > Calcula los porcentajes previamente a por país y representa esa columna en >

*Or do you mean that it's one number per document whereas the other stats are per database, so it's harder to store it?* yes, I mean this. It's a huge data. If a new doclength list(contains all the doclength in a list, like chert) is added by myself, I am concern about: 1. This doclength list may be the bottlenect in this backend, http://trac.xapian.org/ticket/326 2. Change too much

Dear All, While trying to run kvm VM using vmdk disk on 6.4 , I got into the following error, error: Failed to create domain from vmdkvm.xml error: internal error process exited while connecting to monitor: qemu-kvm: -drive file=/mnt/vmdkTOKVM/vmdkTOKVM.vmdk,if=none,id=drive-ide0-0-0,format=vmdk,cache=none: 'vmdk' invalid format upon further digging I came across this thread (

#Simple table con frecuencias absolutas y crear relativas count =table(ess$stflife) percent = 100* (count)/sum(count) Carlos he creado a esto a nivel general en vez de usar prop.table. Según lo que dices o entiendo, debo de usar la función ddply para hacerlo a nivel de todos los paises, y entiendo que ddply (, c(""), debo de indicar los paises? Saludos 2017-06-18 17:37 GMT-05:00

I need a bigger DIF. Please advise. rick -- Rickey C. Weisner Software Development and Performance Specialist Sun Microsystems, INC cell phone: 615-308-1147 email: rick.weisner at sun.com

Hello, I get the following message when I try to load a time series of 128 stock returns. Error in modwt(stock, wf = "la8", n.levels = 8, boundary = "periodic") : wavelet transform exceeds sample size in modwt I thought that MODWT had no restrictions on the sample size? Any help? -- View this message in context: