Definitely doable and you are on the right path and maybe even close.
The error message you got showed your query as having the wrong info after
the 'FROM'
keyword
' SELECT * FROM c("BIODBX.MECCUNIQUE2", "BIODBX.QDATA_HTML_DUMMY",
"BIODBX.SET_ITEMS", "BIODBX.SET_NAMES", "dbo.sysdiagrams",
Hi Eric,
Thank you spent time to help me for this.
Here is the thing: I was requested to manage a sql server for my group. the
server has many schemas and the tables (>200). I use ODBC to connect the server
and get the schema name + table name into a data frame.
For each of schema + table on
Not all advice received on the Internet is safe.
https://xkcd.com/327
https://db.rstudio.com/best-practices/run-queries-safely
It is not that much more difficult to do it right.
On July 2, 2021 12:05:43 PM PDT, Eric Berger wrote:
>Modify the summ() function to start like this
>
>summ <-
Hard for me to tell without more details but it looks like the following
has several bugs
for (i in dbtable$Tot_table)
{
Tabname <- as.character(sqldf(sprintf("SELECT Tot_table FROM dbtable",
i)))
summ(Tabname)
}
Your sprintf() statement seems to use 'i' but actually does not.
You probably
Hello Eric,
Following your suggestion, I modified the code as:
summ <- function(Tabname){
query <- sprintf(" SELECT * FROM %s",Tabname)
res <- dbGetQuery(con, query)
view(dfSummary(res), file =
"W:/project/_Joe.B/MSSQL/try/summarytools.Tabname.html")
rm(res)
}
for (i in
Modify the summ() function to start like this
summ <- function(Tabname){
query <- sprintf(" SELECT * FROM %s",Tabname)
res <- dbGetQuery(con, query)
etc
HTH,
Eric
On Fri, Jul 2, 2021 at 9:39 PM Kai Yang via R-help
wrote:
> Hello List,
>
> The previous post look massy. I repost my
Hello List,
The previous post look massy. I repost my question. Sorry,
I need to generate summary report for many tables (>200 tables). For each
table, I can use the script to generate report:
res <- dbGetQuery(con, "SELECT * FROM BIODBX.MECCUNIQUE2")
view(dfSummary(res), file =
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