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How do I manipulate the read.table function to read in only the 2nd column??? [[alternative HTML version deleted]]

...+extern int move_files; /** @@ -184,6 +185,7 @@ rprintf(FERROR,"send_files failed to open %s: %s\n", fname,strerror(errno)); free_sums(s); + file->flags |= FLAG_NO_DELETE; continue; } @@ -265,6 +267,7 @@ rprintf (FINFO,"readbatch & checksums don't match\n"); rprintf (FINFO,"filename=%s is being skipped\n", fname); + file->flags |= FLAG_NO_DELETE; continue; } } else { @@ -281,6 +284,28 @@ if...

...+ for (n = 0; n < flist->count; n++ ) { + send_file_entry(flist->files[n], f, 0); + } + send_file_entry(NULL, f, 0); + if (f != -1 && remote_version >= 15) { + send_uid_list(f); + } + if (f != -1 && remote_version >= 17 && !read_batch) { /* dw-added readbatch */ + extern int module_id; + write_int(f, lp_ignore_errors(module_id) ? 0 : io_error); + } + } struct file_list *recv_file_list(int f) { diff -E -B -c -r rsync-2.5.6/main.c rsync-2.5.6-remotebatch/main.c *** rsync-2.5.6/main.c Tue Jan 28 05:05:53 2003 --- rsync-2.5.6-remotebatch/main.c...

Hello, I read the thesis about rsync and I would like to know if we can do something different with rsync. Imagine that I have one server that contains a set of data. This server is not very strong compare to the number of client that want to sync there data with the server. If we say that there s 1000 clients, each client, when sync, will send a list of keys to the server and the server must

> Just curious: what about the rsync+ patch? Thanks for the reminder. I've just committed Jos's rsync+ patch onto the "branch_mbp_rsyncplus_merge" branch. If it works OK and nobody screams I will move it across onto the main tree tomorrow or Wednesday. I see the patch doesn't add documentation about the new options to the man page, so we should fix that in the future.

...a frame. Try that first. Perhaps there is a nicer way to do this that I don't know about, but recently I coded up the following to allow for a "streamy" read.table. I've adjusted a few things, but haven't tested. May not work as is, but it should give you an idea. + seth readBatch <- function(con, batch.size) { colClasses <- rep("character", 20) ## fix for your data ## adjust to pick out the columns that you want read.csv(con, colClasses=colClasses, as.is=TRUE, nrows=batch.size, header=FALSE)[, 1:2] } readTableStreamily <- functio...