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R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)
R is free software and comes with ABSOLUTELY NO WARRANTY.
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> ## dbWriteTable test
> ##
> ## Assumes that
> ## a) PostgreSQL is running, and
> ## b) the current user can connect
> ## both of which are not viable for release but suitable while we test
> ##
> ## Dirk Eddelbuettel, 10 Sep 2009
>
> ## only run this if this env.var is set correctly
> if (Sys.getenv("POSTGRES_USER") != "" & Sys.getenv("POSTGRES_HOST") != "" & Sys.getenv("POSTGRES_DATABASE") != "") {
+
+ ## try to load our module and abort if this fails
+ stopifnot(require(RPostgreSQL))
+
+ ## load the PostgresSQL driver
+ drv <- dbDriver("PostgreSQL")
+
+ ## connect to the default db
+ con <- dbConnect(drv,
+ user=Sys.getenv("POSTGRES_USER"),
+ password=Sys.getenv("POSTGRES_PASSWD"),
+ host=Sys.getenv("POSTGRES_HOST"),
+ dbname=Sys.getenv("POSTGRES_DATABASE"),
+ port=ifelse((p<-Sys.getenv("POSTGRES_PORT"))!="", p, 5432))
+
+
+ if (dbExistsTable(con, "rockdata")) {
+ print("Removing rockdata\n")
+ dbRemoveTable(con, "rockdata")
+ }
+
+ dbGetQuery(con, "set client_encoding to 'UTF-8'")
+ difficultstrings <- c("normal", "t\tab", "v\vertical tab", "n\newline", "r carriage \retern", "back \\ slash", "f\form feed")
+ df <- data.frame(strings=difficultstrings)
+
+ dbWriteTable(con, "rockdata", df)
+
+ ## run a simple query and show the query result
+ res <- dbGetQuery(con, "select * from rockdata")
+ print(res)
+ print("Removing rockdata\n")
+ dbRemoveTable(con, "rockdata")
+
+ difficultstringe <- c("normal", "m\u00fc\u00df")
+ df <- data.frame(strings=difficultstringe)
+ tryres <- try({dbWriteTable(con, "rockdata", df)
+ res <- dbGetQuery(con, "select * from rockdata")
+ for(n in 1:2){
+ cat(paste(as.character(n), "\t"))
+ cat(res[n,2])
+ cat("\n")
+ }
+ print("Removing rockdata\n")
+ dbRemoveTable(con, "rockdata")
+ })
+ if(tryres != TRUE){
+ cat("FAIL: could not write small umlaut u and ligature sz.\n")
+ cat(" This might be no problem for you if you don't use those special characters.\n")
+ cat(" Otherwise, please check for the server encoding.\n")
+ cat(" Database encoding is usually set at the time of createdb.\n")
+ cat(" You can see for more information on how to setup at \n")
+ cat(" http://www.postgresql.org/docs/9.1/static/multibyte.html\n\n")
+ }else{
+ cat("PASS: could write small umlaut u and ligature sz\n")
+ }
+
+ difficultstringk <- c("normal", "kanji\u6f22\u5b57")
+ df <- data.frame(strings=difficultstringk)
+ tryres <- try({dbWriteTable(con, "rockdata", df)
+ res <- dbGetQuery(con, "select * from rockdata")
+ for(n in 1:2){
+ cat(paste(as.character(n), "\t"))
+ cat(res[n,2])
+ cat("\n")
+ }
+ print("Removing rockdata\n")
+ dbRemoveTable(con, "rockdata")
+ })
+ if(tryres != TRUE){
+ cat("FAIL: could not write kanji.\n")
+ cat(" This might be no problem for you if you don't use multibyte characters.\n")
+ cat(" Otherwise, please check for the server encoding.\n")
+ cat(" Database encoding is usually set at the time of createdb.\n")
+ cat(" You can see for more information on how to setup at \n")
+ cat(" http://www.postgresql.org/docs/9.1/static/multibyte.html\n\n")
+ }else{
+ cat("PASS: could write kanji\n")
+ }
+
+ ## cleanup
+ if (dbExistsTable(con, "rockdata")) {
+ print("Removing rockdata\n")
+ dbRemoveTable(con, "rockdata")
+ }
+
+ if (dbExistsTable(con, "tempostgrestable"))
+ dbRemoveTable(con, "tempostgrestable")
+
+ ## Test the numeric mapping
+ dbGetQuery(con, "create table tempostgrestable (intcolumn integer, floatcolumn float);")
+
+ i <- as.integer(10)
+ j <- as.numeric(56.6)
+
+ sql <- paste("insert into tempostgrestable ",
+ "values (",i, "," ,j ,") ", sep="")
+ res <- dbGetQuery(con, sql)
+
+ dat <- dbReadTable(con, "tempostgrestable")
+ dbRemoveTable(con, "tempostgrestable")
+ res <- dbWriteTable(con, "numerictable", dat)
+ dat <- dbReadTable(con, "numerictable")
+ dbRemoveTable(con, "numerictable")
+ cat("Read Numeric values\n")
+
+ ## now test the types of the colums we got
+ if( class(dat[,1]) == "integer" ) {
+ cat("PASS -- all integer is as expected\n")
+ }else{
+ cat(paste("FAIL -- an integer became ", class(dat[,1]), "\n"))
+ }
+ stopifnot( class(dat[,2]) == "numeric" )
+
+ ## and test the values
+ if( identical( dat[1,1], i)){
+ cat("PASS integer value is preserved")
+ }else{
+ cat(paste("FAIL:", i, "changed to", dat[1,1], "\n"))
+ }
+ stopifnot( identical( dat[1,2], j))
+ cat("GOOD -- all numeric values are as expected\n")
+
+ ## Test the logical mapping
+ if (dbExistsTable(con, "testlogical"))
+ dbRemoveTable(con, "testlogical")
+ dbGetQuery(con,"create table testlogical (col1 boolean, col2 boolean)")
+
+ i <- as.logical(TRUE)
+ j <- as.logical(FALSE)
+
+ sql <- paste("insert into testlogical ",
+ "values (",i, "," ,j ,") ", sep="")
+ res <- dbGetQuery(con, sql);
+
+ dat <- dbReadTable(con, "testlogical")
+ res <- dbWriteTable(con, "logicaltable", dat)
+ dbRemoveTable(con, "testlogical")
+ dat2 <- dbReadTable(con,"logicaltable")
+ dbRemoveTable(con, "logicaltable")
+ cat("Read Logical values\n")
+
+ ## now test the types of the colums we got
+ stopifnot( class(dat2[,1]) == "logical" )
+ stopifnot( class(dat2[,2]) == "logical" )
+ cat("GOOD -- all logical types are as expected\n")
+
+ ## and test the values
+ stopifnot( identical( dat2[1,1], i))
+ stopifnot( identical( dat2[1,2], j))
+ cat("GOOD -- all logical values are as expected\n")
+
+ ## Test the character mapping
+ if (dbExistsTable(con, "testchar"))
+ dbRemoveTable(con, "testchar")
+ dbGetQuery(con,"create table testchar (code char(3),city varchar(20),country text);")
+
+ i <- as.character("IN")
+ j <- as.character("Hyderabad")
+ k <- as.character("India")
+
+ sql <- paste("insert into testchar ",
+ "values ('",i,"' , '",j ,"' , '",k,"') ", sep="")
+ res <- dbGetQuery(con, sql);
+
+ dat <- dbReadTable(con, "testchar")
+ dbRemoveTable(con, "testchar")
+ dbWriteTable(con, "testchar", dat)
+ dat <- dbReadTable(con, "testchar")
+ cat("Read Character values\n")
+
+ ## now test the types of the colums we got
+ stopifnot( class(dat[,1]) == "character" )
+ stopifnot( class(dat[,2]) == "character" )
+ stopifnot( class(dat[,3]) == "character" )
+ cat("GOOD -- all character types are as expected\n")
+
+ ## and test the values
+ ##stopifnot( identical( dat[1,1], i))
+ stopifnot( identical( dat[1,2], j))
+ stopifnot( identical( dat[1,3], k))
+ cat("GOOD -- all character values are as expected\n")
+
+ dbRemoveTable(con, "testchar")
+ dbRemoveTable(con, "tempostgrestable")
+
+ ## Test the numeric mapping
+ dbGetQuery(con, "create table tempostgrestable (intcolumn date, floatcolumn timestamp with time zone);")
+
+ sql <- paste("insert into tempostgrestable ",
+ "values ('2011-03-07', '2011-03-07 16:30:39') ")
+ res <- dbGetQuery(con, sql)
+
+ dat <- dbReadTable(con, "tempostgrestable")
+ dbRemoveTable(con, "tempostgrestable")
+ dbWriteTable(con, "tempostgrestable2", dat)
+ dat2 <- dbReadTable(con, "tempostgrestable2")
+ dbRemoveTable(con, "tempostgrestable2")
+ cat("Check that read after write gets the same data types\n")
+
+ ## now test the types of the colums we got
+ if( class(dat2[1,1]) == "Date" ){
+ cat("PASS -- Date type is as expected\n")
+ }else{
+ cat("FAIL -- Date type is other than Date: ")
+ cat(class(dat2[1,1]))
+ cat("\n")
+ }
+ if( class(dat2[1,2])[1] == "POSIXct" ){
+ cat("PASS -- TIMESTAMP is received as POSIXct\n")
+ }else{
+ cat("FAIL -- TIMESTAMP is other than POSIXct: ")
+ cat(class(dat2[1,2]))
+ cat("\n")
+ }
+
+
+ dbDisconnect(con)
+ dbUnloadDriver(drv)
+
+ cat("DONE\n")
+ }
Loading required package: RPostgreSQL
Loading required package: DBI
row.names strings
1 1 normal
2 2 t\tab
3 3 v\vertical tab
4 4 n\newline
5 5 r carriage \retern
6 6 back \\ slash
7 7 f\form feed
[1] "Removing rockdata\n"
1 normal
2 müß
[1] "Removing rockdata\n"
PASS: could write small umlaut u and ligature sz
1 normal
2 kanji漢字
[1] "Removing rockdata\n"
PASS: could write kanji
Read Numeric values
PASS -- all integer is as expected
PASS integer value is preservedGOOD -- all numeric values are as expected
Read Logical values
GOOD -- all logical types are as expected
GOOD -- all logical values are as expected
Read Character values
GOOD -- all character types are as expected
GOOD -- all character values are as expected
Check that read after write gets the same data types
PASS -- Date type is as expected
PASS -- TIMESTAMP is received as POSIXct
DONE
>
>
> proc.time()
user system elapsed
1.014 0.042 1.524
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