rodbc

I'm getting a new error which I've never gotten before when connecting from R to a GreenPlum PostgreSQL database using RODBC. I've gotten the error using both EMACS/ESS and RStudio, and the RODBC call has worked as is in the past. library(RODBC) gp <- odbcConnect("greenplum", believeNRows = FALSE) data <- sqlQuery(gp, "select * from mytable") > data [1] "22P05 7 ERROR: character 0xc280 of encoding \"UTF8\" has no equivalent in "WIN1252\";\nError while executing the query" [2] "[RODBC] ERROR: Could not SQLExecDirect 'select * from mytable'" EDIT: Just tried querying another table and did get

I am creating some graphs which I want to update into a database table. The procedure I am following is: create the graphs as a png/jpeg file. Read that file as a binary vector sqlUpdate My code for steps 2 & 3: pngfile <- file(<filename>, "rb") N <- 1e6 repeat{ pngfilecontents <- readBin(pngfile, what="raw", n=N) if(length(pngfilecontents) == N) N <- 5 * N else break } close(pngfile) There is a table df_DemandPatternMaster in the database with primary key DemandPatternID, with appropriate record in place with NULL value in pngFile field. update.query <- "update df_DemandPatternMaster set "

I have a data frame with 10 million rows and 5 columns that I want to insert to an existing sql table. Note that I do not have permission to create a table, I can only insert values into an existing table. I'm currently using RODBCext query_ch <- "insert into [blah].[dbo].[blahblah] (col1, col2, col3, col4, col5) values (?,?,?,?,?)" sqlExecute(channel, query_ch, my_data) This takes way too long (more than 10 hours). Is there a way accomplish this faster? TL;DR: LOAD DATA INFILE is one order of magnitude faster than multiple INSERT statements, which are themselves one order of magnitude faster

I've looked at the ' Pass R variable to RODBC's sqlQuery with multiple entries? ' already but can't seem to get it to work. I'm trying to do an sqlQuery() from R on a SQL Server 2008 R2 db. I'm trying to get a sample from a large db based on row numbers. First I created a list of random numbers: sampRowNum <- sample(seq(1,100000,1), 5000) Then I try to use those numbers in a query using: query1 <- sqlQuery(channel, paste("select * FROM db where row_id in (", sampRowNum,")", sep="")) I get just the results from the db where the row_id is equal to the first number in sampRowNum . Any suggestions

I know I can create a temporary table in SQL from R with, for example: require(RODBC) X<- odbcDriverConnect('driver={SQL Server}; server=s001000;database=X1;trusted_connection=true') sqlQuery(X, "create table #temptable (test int)" ) sqlQuery(X, "insert into #temptable(test) values(201508)") doesItWork <- sqlQuery(X, "select * from #temptable") But I would like to create a temporary table in sql server from an R object (I have a table that has the result of previous R calculations and I need to query it against another table in SQL. I don't want to export it as txt and upload it to SQL server.

I'm having some difficulty inserting a data frame into a mySql database using RODBC. Below is the code I'm using: data <- data.frame(analysedDataID=c(1,2,3), plateWell=c("a","b","c"), screenPlateOrder=c(1,2,3), wellData=c("A","B","C")) con <- odbcConnect(DSN, uid="user_id", pwd="some_password") query <- sqlSave(con, data, tablename = 'wellAnalysedDataTable', rownames=FALSE, append=TRUE) When I try to execute this I get the following error message: Error in odbcUpdate(channel, query, mydata, coldata[m, ], test = test, : missing columns in 'data' Here is the specific table I'm trying to insert