similar to: ID Mapping

I'm pretty sure you need to clear your winbind cache after modifying the range. I can't find any official documentation on it anywhere, but I think the process goes like: systemctl stop winbind systemctl stop smbd net cache flush systemctl start winbind systemctl start smbd If that doesn't work you could try clearing the tdb files and the group mapping ldb file in /var/lib/samba (

Your 'range' in your 4.6.2 config is different than the one in your 4.4.4 config. Try setting it to: 'idmap config *:range = 30000-40000' , to see if the issue no longer occurs. On Tue, 2020-11-24 at 09:17 +0800, ??? via samba wrote: > Hi, > > ????I'm using samba for login in Linux via Active Directory (win > 2008). > > ????In my Active Directory, there is

I followed your steps, my smb.service is inactive [root at localhost samba]# systemctl stop winbind [root at localhost samba]# net cache flush [root at localhost samba]# ll total 460 drwxrwxr-x. 10 root printadmin 4096 Oct 29 07:17 drivers drwxr-xr-x. 4 root root 38 Oct 29 07:17 DriverStore -rw-------. 1 root root 696 Nov 23 23:39 group_mapping.tdb drwxr-xr-x. 4 root root

I have updated samba to 4.10.4: # rpm -qa | grep samba-4 samba-4.10.4-11.el7_8.x86_64 And update the conf: # cat /etc/samba/smb.conf | grep "config" idmap config *:backend = tdb idmap config *:range = 30000-40000 And reload config, restart winbind: # smbcontrol all reload-config # systemctl restart winbind But it did not work: # id jin uid=30000(jin) gid=30000(domain users)

Hi Jin-Gu, > I made a patch for dragonegg. This patch is for dragonegg to generate arm > assembly code. thanks for working on this. > > Dragonegg is compiled with this patch after building gcc-4.6 as cross compiler > for arm and > > then dragonegg can generate arm assembly code. > > It currently makes errors to build dragonegg and llvm from svn. so I made a > patch

Hi Duncan, I made a patch for dragonegg. This patch is for dragonegg to generate arm assembly code. Dragonegg is compiled with this patch after building gcc-4.6 as cross compiler for arm and then dragonegg can generate arm assembly code. It currently makes errors to build dragonegg and llvm from svn. so I made a patch using dragonegg-3.0 source code. (This patch doesn't support

Dear UseRs, I'm making box plots from a data set that looks like this: Chr Start End GeneDensity ReadCount_Explant ReadCount_Callus ReadCount_Regen 1 1 1 10000 107.82 1.243 1.047 1.496 2 1 10001 20000 202.50 0.835 0.869 0.456 3 1 20001 30000 158.80 1.813 1.529 1.131

Hello, I apologize that I am cross posting here after getting no answer from my initial question on stack overflow <http://stackoverflow.com/questions/33492601/r-setoldclass-only-if-needed>. I should certainly have posted it first here.. I am using 3 packages: - xts - quantmod - 'myPackage' quantmod is creating a union class by doing: setOldClass("xts");

I have two data frames, with two columns each, the first being a Date variable. I would like to convert them to xts objects, indexed by the Date column. I would like to use as.Date and not as.POSIXct as the dateformat. The puzzling fact is that it works for the first one but not the other. Here is a screenshot of the error: > str(DF1) 'data.frame': 367 obs. of 2 variables: $

Given the following snippet.... m.nf.xts <- xts(rep(0, length(index(m.xts))), order.by=index(m.xts)) Does R know to cache the index(m.xts) or is it more efficient to say... m.i <- index(m.xts) m.nf.xts <- xts(rep(0, length(m.i)), order.by=index(m.i)) ? cheers Worik [[alternative HTML version deleted]]

Hi R programmers, I have stumbled across what seems a very simple problem. My goal is to create a xts time series object which contains vectors as values. In other words, I try to create something like this: 2009-01-01 => c('aa', 'bb', 'dd') ... 2010-02-01 => c('mm') I have figured out parts of separately. Here's what works (new xts time-series with

I read enourmous comment about this questions stating that it was answered before.? I?have been looking for the answer for a week without luck !!!? I searched the archives the xts. vignitte , googled for an answer but couldn't find one so her it is: ? the Vignette states that xts "doesn't inforce the duplicate row requirement" but yet when I try to bring in tick stock data from

Hello, I noticed something odd when working with data frames and xts objects. If I read in a CSV file, R creates a nice data.frame. This works well. If I then convert to an XTS object, I see that all the values in the data are now quoted. My data is a mix of numeric and character. This is usually seen when converting a data.frame to a matrix, as R will treat all the data as the same class.

Hi, Please can you tell me what I am doing wrong. When trying to merge two xts objects, one of which has multiple character vectors for columns...I am just getting NAs. > str(t) POSIXct[1:1], format: "2011-01-04 11:45:37" > y2 = xts(matrix(c(letters[1:10]),5), order.by=as.POSIXct(c(t + 1:5))) > names(y2) = c(1,2) > y2 1 2 2011-01-04 11:45:38

Using the following bit of R, I'm wondering if there is a way to override/manipulate/replace the date in one xts time series with the date of another xts time series while not affecting/changing the times of the xts time series? library(xts) x.Date <- rep("1/1/2004",times=5) x.Times<- c("00:00:00", "00:15:00", "00:30:00",

Dear R-users I am new to R and struggling not to bother the list with silly questions. I read the documentation on xts and searched for some examples over the internet on how to use plot.xts. The xts object is as follows dataxts : An 'xts' object from 2010-06-27 to 2010-08-05 containing: Data: num [1:56161, 1:14] 74 74.2 74.2 74.1 73.9 ... Indexed by objects of

You can just use the same code that I provided before but now use your dataset. Like this df <- read.csv(file="data2.csv",header=TRUE) dates <- as.Date(paste(df$year,"-01-01",sep="")) myXts <- xts(df,order.by=dates) head(myXts) #The last command "head(myXts)" shows you the first few rows of the xts object year cnsm incm wlth

The following is internally consistent, but not intuitive: R : Copyright 2002, The R Development Core Team Version 1.4.1 (2002-01-30) [...] > library(ts) > x<-rnorm(100) # white noise > xTS<-ts(x,start=1) # as time series > xTSl<-lag(xTS,lag=-1) # lagged once > cor(xTS,xTSl) # Big surprise [1] 1 > cor(cbind(xTS,xTSl),use="pairwise") # what was really

Hi, I'd like to make a time series at an annual frequency. > a<-xts(x=c(2,4,5), order.by=c("1991","1992","1993")) Error in xts(x = c(2, 4, 5), order.by = c("1991", "1992", "1993")) : order.by requires an appropriate time-based object > a<-xts(x=c(2,4,5), order.by=1991:1993) Error in xts(x = c(2, 4, 5), order.by =

> On 15 Sep 2017, at 11:38, yadav neog <yadavneog at gmail.com> wrote: > > hello to all. I am working on macroeconomic data series of India, which in > a yearly basis. I am unable to convert my data frame into time series. > kindly help me. > also using zoo and xts packages. but they take only monthly observations. > > 'data.frame': 30 obs. of 4 variables: