rpostgresql

I am using RPostgreSQL I have done number of process and I got a table in R. I wanted to put this table in PostgreSQL from R for further analysis that I will use PostgreSQL codes. The problem is that when I have a table in R which doesn't exist in PostgreSQL, I cannot perform SQL Codes on it. Sample Table s_2 the data format is not data frame and temp is float and DateeTIMEE is timestamps: temp DateeTIMEE 1 -1.64 2007-09-29 00:01:09 2 -1.76 2007-09-29 00:03:09 3 -1.83 2007-09-29 00:05:09 4 -1.86 2007-09-29 00:07:09 5 -1.94 2007-09-29 00:09:09 6 -1.87 2007-09-29 00:11:09 7 -1.87 2007-09-29 00

I need to update column values conditionnaly on other columns in some PostgreSQL database table. I managed to do it writing an SQL statement in R and executing it with dbExecute from DBI package. library(dplyr) library(DBI) # Establish connection with database con <- dbConnect(RPostgreSQL::PostgreSQL(), dbname = "myDb", host="localhost", port= 5432, user="me",password = myPwd) # Write SQL update statement request <- paste("UPDATE table_to_update", "SET var_to_change = 'new value' ", "WHERE filter_var = 'filter' ") # Back-end execution con %>% dbExecute(request) Is it possible to do so using

I'm trying to pull data from a PostgreSQL database and the results for a timestamp field are inconsistent. I'm not sure if I'm handling POSIXct results properly. Otherwise, I think I found a bug in the RPostgreSQL package. Here is the way to replicate the issue: Suppose there is a table in a postgres database with one field (run this in PostgreSQL): CREATE DATABASE mydb; CREATE TABLE test_table ( "DateTime" timestamp without time zone NOT NULL, CONSTRAINT "pk_test_table" PRIMARY KEY ("DateTime") ) WITH ( OIDS=FALSE ); ALTER TABLE test_table OWNER TO postgres; And let’s say there are a few

Im trying to connect postgres with dplyr functions my_db <- src_postgres(dbname = 'mdb1252', user = "diego", password = "pass") my_db src: postgres 9.2.5 [postgres@localhost:5432/mdb1252] tbls: alf, alturas, asociad, atenmed, base, bfa_boys_p_exp, bfa_boys_z_exp, bfa_girls_p_exp, bfa_girls_z_exp, bres, c21200012012, c212000392011, c212000532011, c21200062012, c212006222012, c212007352012, c212012112013, c212012242012, c212012452012, c2222012242012, calles, cap, cap0110, casos_tbc_tr09, casos_tbctr09, casosvadela, catpo, cbcvl, cie09, cie10, cie103d, cie103dantigua, cie10c, cie9a, cie9mc,

My R workflow now involves dealing with a lot of queries ( RPostgreSQL library). I really want to make code easy to maintain and manage in the future. I started loading large queries from separate .SQL files ( this helped) and it worked great. Then I started using interpolated values ( that helped) which means that I can write SELECT * FROM table WHERE value = ?my_value; and (after loading it into R) interpolate it using sqlInterpolate(ANSI(), query, value = "stackoverflow") . What happens now is I want to use something like this SELECT count(*) FROM ?my_table; but how can I make it work?

I am trying to connect to a remote PostgreSQL database from within R using the RPostgreSQL package, and I am getting errors that appear to be related to the SSL settings for the connection. I have verified that I can connect from the command line using psql , so I know the connection is valid and accessible from my computer. My first attempt at connecting in R was the following (where <MyHost> and <MyPass> were filled out appropriately for my connection): library(RPostgreSQL) pg <- dbDriver( 'PostgreSQL' ) con = dbConnect( pg, host=<MyHost>, dbname='warehouse', user='warehouse', password=