#
require("RPostgreSQL")
require(forecast)
require("tsoutliers")
require(ggplot2)
require("tsintermittent")
library("doParallel")
library("foreach")
drv <- dbDriver("PostgreSQL")
con <- dbConnect(drv, dbname = "Atotech",
host = "axialyzeproduction.c5drkcatbgmm.eu-central-1.rds.amazonaws.com", port = 8080,
user = "aXialyze", password = "aXialyze0000")
df <- dbGetQuery(con, "select * from (
select * , ROW_NUMBER () OVER () as rnum
from (SELECT distinct material,
left(planningkey,10) as mykey,
to_char(ss, 'YYYY-MM-DD') requested_deliv_date_to,
to_char(ss + '1 month' ::interval, 'MM.YYYY') fcperiod
FROM generate_series(
(select requested_deliv_date_to
FROM public.parameter_sets ps
where ps.fcrun = (SeLECT fcrun FROM current_run)),
(select todate
FROM public.parameter_sets ps
where ps.fcrun = (SeLECT fcrun FROM current_run)), '1 month') ss
left join public.material_planninglevel80 m on true
where not exists(select 1
from fcst_accuracy f
where f.fcrun = (SeLECT fcrun FROM current_run)
and m.material = f.material
and geography = left(planningkey,10)
and fcperiod = to_char(ss + '1 month' ::interval, 'MM.YYYY'))
)a)b
" )
#other option df <- dbGetQuery(con, "SELECT material, cluster, lpad(custdfomer_code,10,'0') customer_code, totalvolume, ts_categorie
#FROM public.sandop_selection
#where not material || lpad(customer_code,10,'0') in (select material || left(geography,10) from fcst_accuracy)
#order by totalvolume desc" )
# Calculate the number of cores
no_cores <- detectCores() - 1
run_mat_cust_mm <- function(df, no_cores) {
foreach(i=1:no_cores) %dopar%
{
require("RPostgreSQL")
require(forecast)
require("tsoutliers")
require(ggplot2)
require("tsintermittent")
require("uuid")
source('~/R/aXialyzefcstcontrol/R/main_functions.R')
source('~/R/aXialyzefcstcontrol/R/material_region multi 80.R')
drv <- dbDriver("PostgreSQL")
con <- dbConnect(drv, dbname = "Atotech",
host = "axialyzeproduction.c5drkcatbgmm.eu-central-1.rds.amazonaws.com", port = 8080,
user = "aXialyze", password = "aXialyze0000")
batchsize <- floor(nrow(df)/no_cores)
startnr <- batchsize*i - batchsize + 1
if(batchsize*(i+1) > nrow(df)){endnr <- nrow(df) }else {endnr <- batchsize*i}
dfall <- df[startnr:endnr, ]
level <- "material_region_multi"
apply(dfall, 1, f_mat_regi_multi, connection = con, ilevel = level, iYYYY = "YYYY-MM" ,ifreq = 12, TRUE)
}}
# Initiate cluster
cl <- makeCluster(no_cores)
doParallel::registerDoParallel(cl)
tryCatch(run_mat_cust_mm(df, no_cores), error = function(e) print(e))
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.