--- /dev/null
+source("functions.r");
+
+
+available_nodes <- function (ns, from, to, type, fmt="%b")
+{
+ # find 'type' range of days
+ dates <-seq(as.Date(from), as.Date(to), type)
+ months <- format(dates, fmt)
+ hbreaks<-unclass(as.POSIXct(dates))
+
+ xx<-NULL;
+ yy<-NULL;
+
+ for ( i in seq(1,length(hbreaks)-1) )
+ {
+ # get range from ns
+ ns_sub <- ns[which(ns$date > hbreaks[i] & ns$date <= hbreaks[i+1] & ns$status == 'BOOT'),]
+ nodes <- length(ns_sub$date)
+
+ xx<- c(xx, hbreaks[i])
+ yy<- c(yy, nodes)
+
+ }
+ m<- months[1:length(months)-1]
+ return (rbind(xx,yy,m))
+}
+
+
+
+open_tickets <- function (t, from, to, type, fmt="%b")
+{
+ # find 'type' range of days
+ dates <-seq(as.Date(from), as.Date(to), type)
+ months <- format(dates, fmt)
+ hbreaks<-unclass(as.POSIXct(dates))
+
+ xx<-NULL;
+ yy<-NULL;
+
+ for ( i in seq(1,length(hbreaks)-1) )
+ {
+ # identify any tickets with a start time in range, lastreply in range
+ # or where both start is less and lastreply is greater than the range
+ t_sub <- t[which( (t$start < hbreaks[i] & t$lastreply > hbreaks[i+1]) |
+ (t$start > hbreaks[i] & t$start <= hbreaks[i+1]) |
+ (t$lastreply > hbreaks[i] & t$lastreply <= hbreaks[i+1]) ),]
+ tickets <- length(t_sub$start)
+ #if ( nrow(t_sub) > 0 ){
+ # for ( j in seq(1,nrow(t_sub)) )
+ # {
+ # #print(sprintf("id %s, date %s", t_sub[i,'ticket_id'], t_sub[i,'s1']))
+ # print(sprintf("id %s, date %s", t_sub[j,]$ticket_id, t_sub[j, 's1']))
+ # }
+ #}
+
+ xx<- c(xx, hbreaks[i])
+ yy<- c(yy, tickets)
+
+ }
+ m<- months[1:length(months)-1]
+ return (rbind(xx,yy,m))
+}
+
+online_nodes <- function (fb)
+{
+ breaks <- unique(fb$timestamp)
+ n<-NULL
+ o<-NULL
+ x<-NULL
+ for (i in seq(1,length(breaks)) )
+ {
+ ts <- breaks[i]
+ sub <- fb[which(fb$timestamp == ts),]
+ node_count <- length(unique(sub$hostname))
+ online_count <- length(unique(sub$hostname[which(sub$state=='BOOT')]))
+ x<-c(x,ts)
+ n<-c(n,node_count)
+ o<-c(o,online_count)
+ }
+ print(length(x))
+ print(length(n))
+ print(length(o))
+ return (rbind(x,n,o))
+}
+
+lowess_smooth <- function (x, y, delta=(60*60*24), f=0.02)
+{
+ a<-lowess(x, y, delta=delta, f=f)
+ return (a);
+}
+
+#####
+
+ns <- read.csv('node-status-jun09-feb10.csv', sep=',', header=TRUE)
+an <- available_nodes(ns, "2009-06-10", "2010-02-28", 'day')
+
+an_x<-an[1,][which(as.numeric(an[2,]) > 100)]
+an_y<-an[2,][which(as.numeric(an[2,]) > 100)]
+
+
+####
+#fb7 <- read.csv('findbad_raw_2007.csv', sep=',', header=TRUE)
+#fb8 <- read.csv('findbad_raw_2008.csv', sep=',', header=TRUE)
+#fb9 <- read.csv('findbad_raw_2009.csv', sep=',', header=TRUE)
+
+z7<- online_nodes(fb7)
+z8<- online_nodes(fb8)
+z9<- online_nodes(fb9)
+
+zx <- c(z7[1,],z8[1,],z9[1,])
+zy_reg <- c(z7[2,], z8[2,],z9[2,])
+zy_avail <- c(z7[3,], z8[3,],z9[3,])
+
+start_image("rt_aggregate_node_traffic.png")
+par(mfrow=c(2,1))
+par(mai=c(0,1,0.1,0.1))
+
+a_reg<-lowess_smooth(zx, zy_reg)
+plot(a_reg$x, a_reg$y,
+ ylim=c(0,700), xlim=c(min(x1), max(x1)), type='l', pch='.', axes=F,
+ ylab="Online Node Count", xlab="")
+
+sx <- zx[which(zy_avail > 330)]
+sy <- zy_avail[which(zy_avail > 330)]
+sx <- c(sx[1:2037],sx[2061:length(sx)])
+sy <- c(sy[1:2037],sy[2061:length(sy)])
+
+sx <- c(sx[1:1699],sx[1701:1707],sx[1709:length(sx)])
+sy <- c(sy[1:1699],sy[1701:1707],sy[1709:length(sy)])
+
+lines(sx, sy, col='grey80', pch='.')
+lines(an_x, an_y, col='grey80', pch='.')
+
+a_avail<-lowess_smooth(zx, zy_avail)
+lines(a_avail$x, a_avail$y, col='red', pch='.')
+
+a_avail_m3<-lowess_smooth(an_x, an_y)
+lines(a_avail_m3$x, a_avail_m3$y, col='red', pch='.')
+
+axis(2, las=1)
+
+x_online_node_list <- c(tstamp("2004-6-1"), tstamp("2005-6-1"), tstamp("2006-6-1"), tstamp("2007-11-1"))
+y_online_node_list <- c(330, 480, 500, 550)
+lines(x_online_node_list, y_online_node_list, col='grey80')
+
+#abline_at_date('2005-01-01', 'grey60')
+#abline_at_date('2006-01-01', 'grey60')
+#abline_at_date('2007-01-01', 'grey60')
+#abline_at_date('2008-01-01', 'grey60')
+#abline_at_date('2009-01-01', 'grey60')
+#abline_at_date('2010-01-01', 'grey60')
+
+tstamp_20041201 <-abline_at_date("2004-12-01", col='grey60', lty=2)
+tstamp_20050301 <-abline_at_date("2005-03-01", col='grey60', lty=2)
+tstamp_20050701 <-abline_at_date("2005-07-01", col='grey60', lty=2)
+tstamp_20051101 <-abline_at_date("2005-11-01", col='grey60', lty=2)
+tstamp_20051201 <-abline_at_date("2005-12-01", col='grey60', lty=2)
+tstamp_20070101 <-abline_at_date("2007-01-01", col='grey60', lty=2)
+tstamp_20070501 <-abline_at_date("2007-05-01", col='grey60', lty=2)
+tstamp_20080601 <-abline_at_date("2008-06-01", col='grey60', lty=2)
+tstamp_20080815 <-abline_at_date("2008-08-15", col='grey60', lty=2)
+tstamp_20090501 <-abline_at_date("2009-05-01", col='grey60', lty=2)
+tstamp_20100201 <-abline_at_date("2010-02-01", col='white', lty=2)
+
+
+text(x=c( tstamp_20041201+(tstamp_20050301-tstamp_20041201)/2,
+ tstamp_20050301+(tstamp_20050701-tstamp_20050301)/2,
+ tstamp_20050701+(tstamp_20051101-tstamp_20050701)/2,
+ tstamp_20051201+(tstamp_20070101-tstamp_20051201)/2,
+ tstamp_20070101+(tstamp_20070501-tstamp_20070101)/2,
+ tstamp_20080601+(tstamp_20080815-tstamp_20080601)/2,
+ tstamp_20090501+(tstamp_20100201-tstamp_20090501)/2 ),
+ y=c(700),
+ labels=c('3.0', '3.1', '3.1S', '3.2', '4.0', '4.2', '4.3'))
+
+par(mai=c(1,1,0.1,0.1))
+# system("parse_rt_data.py 3 > rt_data.csv");
+
+t <- read.csv('rt_data_2004-2010.csv', sep=',', header=TRUE)
+t2 <- t[which(t$complete == 1),]
+ot <- open_tickets(t2, '2004/1/1', '2010/2/28', 'day', "%b")
+x1<-as.numeric(ot[1,])
+y1<-as.numeric(ot[2,])
+
+a_ot<-lowess_smooth(x1, y1)
+
+plot(x1, y1, col='grey80', type='l', axes=F, ylab="Open Tickets", xlab="Date") # , ylim=c(0,260))
+lines(a_ot$x, round(a_ot$y), col='red')
+
+axis(1, labels=ot[3,], at=ot[1,], cex.axis=0.7)
+axis(2, las=1)
+mtext("2004 2005 2006 2007 2008 2009", 1,2)
+
+abline_at_date('2005-01-01', 'grey60')
+abline_at_date('2006-01-01', 'grey60')
+abline_at_date('2007-01-01', 'grey60')
+abline_at_date('2008-01-01', 'grey60')
+abline_at_date('2009-01-01', 'grey60')
+abline_at_date('2010-01-01', 'grey60')
+abline(h=25, lty=2, col='grey80')
+abline(h=40, lty=2, col='grey80')
+end_image()
+
+
+m <- read.csv('rt_monitor_data.csv', sep=',', header=TRUE)
+m2 <- m[which(m$complete == 1),]
+otm <- open_tickets(m2, '2004/1/1', '2010/2/28', 'day', "%b")
+xm<-as.numeric(otm[1,])
+ym<-as.numeric(otm[2,])
+
+a<-lowess(xm, ym, delta=(60*60*24), f=0.02)
+x<-a$x
+y<-a$y
+lines(x, round(y), col='blue')
+
+#end_image()
+#t_july08 <-unclass(as.POSIXct("2008-07-01", origin="1970-01-01"))[1]
+#breaks <- unique(fb8$timestamp[which(fb8$timestamp < t_july08)])
+#fb8_boot <- fb8$timestamp[which(fb8$state=="BOOT" & fb8$timestamp < t_july08)]
+#h8<-hist(fb8_boot, breaks=breaks[which(!is.na(breaks) & breaks!=0)])
+#
+#breaks <- unique(as.numeric(as.character(fb9$timestamp)))
+#fb9_boot <- as.numeric(as.character(fb9$timestamp[which(fb9$state=="BOOT")]))
+#hist(fb9_boot, breaks=breaks[which(!is.na(breaks) & breaks >= 1230775020)])
+
git://git.onelab.eu / monitor.git / blobdiff