Error cound not find all functions in the R program - r

This is the program however when I run it says cannot find function dbSendQuery or dbCoonect or any function in the program.I am not sure is it due to me not installing the right packages
install.packages("RMySQL")
library(RMySQL)
mydb <- dbConnect(MySQL(), dbname='W1547901_0', user='',password='',host='elephant.ecs.westminster.ac.uk')
dbSendQuery(mydb, "drop table if exists books")
# creating tables in bookstore:
dbSendQuery(mydb, "
CREATE TABLE books (
book_id INT,
title VARCHAR(50),
publisher VARCHAR(50));")
dbListTables(mydb)
dbSendQuery(mydb, "INSERT INTO books
(book_id, title, publisher)
VALUES(1, 'R and MySQL', 'Addison Wesley');")
try1 = fetch(dbSendQuery(mydb, "SELECT book_id, title, publisher
FROM books
WHERE book_id = 1 ;"))

Related

Join a data frame (or other R object) to a table in a read-only Postgresql database?

I have read-only access to a Postgres database. I can not write to the database.
Q. Is there a way to construct and run a SQL query where I join a data frame (or other R object) to a table in a read-only Postgres database?
This is for accessing data from WRDS, https://wrds-www.wharton.upenn.edu/
Here's an attempt at pseudocode
#establish a connection to a database
con <- dbConnect( Postgres(),
host = 'host.org',
port = 1234,
dbname = 'db_name',
sslmode = 'require',
user = 'username', password = 'password')
#create an R dataframe (or other object)
df <- data.frame( customer_id = c('a123', 'a-345', 'b0') )
#write a sql query we will run
sql_query <- "
SELECT t.customer_id, t.* FROM df t
LEFT JOIN table_name df
on t.customer_id = df.customer_id
"
my_query_results <- dbSendQuery(con, sql_query)
temp <- dbFetch(res, n = 1)
dbClearResult(res)
my_query_results
Note and edit: The example query I provided is intentionally super simple for example purposes.
In my actual queries, there might be 3 or more columns I want to join on, and millions of rows I want to join on.
Use the copy_inline function from the dbplyr package, which was added following an issue filed on this topic. See also the question here.
An example of its use is found here.
If your join is on a single condition, it can be rewritten using an in clause:
In SQL:
SELECT customer_id
FROM table_name
WHERE customer_id in ('a123', 'a-345', 'b0')
Programmatically from R:
sql_query = sprintf(
"SELECT customer_id
FROM table_name
WHERE customer_id in (%s)",
paste(sQuote(df$customer_id, q = FALSE), collapse = ", ")
)

SQL Server ALTER datetime to datetime2 does not work

I am trying to convert a "datetime" variable to "datetime2" format.
# Load libraries
library(DBI)
library(tidyverse)
# Create dataframe
df <- data.frame("myid" = stringi::stri_rand_strings(5, 5),
"mydate" = c(Sys.time(), Sys.time()-1, Sys.time()-2, Sys.time()-3, Sys.time()-4) )
# Create SQL table sschema.ttable
DBI::dbWriteTable(conn = connection,
name = DBI::Id(schema = "sschema", table = "ttable"),
value = df,
overwrite = TRUE,
append = FALSE)
# Query for variable type in the SQL table
query <- paste0("exec sp_columns ", "ttable")
query <- DBI::dbSendQuery(connection, query)
res <- NULL
res <- DBI::dbFetch(query)
DBI::dbClearResult(query)
view(res)
# Alter mydate to datetime2
query <- DBI::dbSendStatement(conn = connection,
statement = paste0("ALTER TABLE sschema.ttable ALTER COLUMN mydate datetime2"))
DBI::dbFetch(query)
DBI::dbClearResult(query)
but this leads to the error
Error: nanodbc/nanodbc.cpp:1617: 00000: [Microsoft][ODBC Driver 17 for SQL Server][SQL Server]The UPDATE permission was denied on the object 'ttable', database 'dbo', schema 'sschema'.
'ALTER TABLE sschema.ttablename ALTER COLUMN mydate datetime2'
However, converting another VARCHAR(10) variable in the same table to VARCHAR(100) works fine. Any idea what is the problem? How to get this working?
I am working with Microsoft SQL Azure version 12, by operating on an RStudio-server and the DBI library.
To change the data type of a column you must have both the ALTER permission and UPDATE permission on the table.
From the docs:
Adding a column that updates the rows of the table requires UPDATE permission on the table.
ALTER TABLE - permissions
This goes for ALTERing an existing column too, as you can verify like this:
use tempdb
go
revert
go
if exists(select * from sys.database_principals where name = 'fred')
drop user fred
go
drop table if exists tablename
go
create user fred without login
create table tablename(id int, variablename varchar(20))
go
grant select on tablename to fred
--grant update on tablename to fred --uncomment to clear error
grant alter on schema::dbo to fred
execute as user='fred'
ALTER TABLE dbo.tablename ALTER COLUMN variablename datetime2
revert

Writing a Teradata With Statement in RODBC in R

I have connected Teradata to my R session with RODBC.
Typically I use data <- sqlQuery(conn, "SELECT statement") however when I put the following WITH statement in place of the SELECT statement, there is an error.
data <- sqlQuery(conn,
"WITH zzz as (SELECT statement1),
yyy as (SELECT statement2)
SELECT statement3"
try correcting mismatched " and ) as below...
data <- sqlQuery(conn,
"WITH zzz as (SELECT statement1),
yyy as (SELECT statement2)
SELECT statement3")

Unknown error in sqldf package

What does this error mean?
Closing open result set, pending rowsError in result_create(conn#ptr, statement) : near "(": syntax error
This appears when i want to run the code
```{r}
library(sqldf)
first <- dbConnect(SQLite(), dbname= "DATA.sqlite")
dbSendQuery(conn = first,
"CREATE TABLE COMPANY_MASTER
(
CompId INTEGER,
CompName TEXT,
Address TEXT,
DirectorName TEXT,
EmployeeNo INTEGER,
PRIMARY KEY(CompName)
)")
dbSendQuery(conn = first, "INSERT INTO COMPANY_MASTER
VALUES(1001,'Infosys','ABC1927','Dr.Sandeep',128)")
dbSendQuery(conn = first, "INSERT INTO COMPANY_MASTER
VALUES(1002,'Cognizant','ERT654','Michael',156)")
dbSendQuery(conn = first, "INSERT INTO COMPANY_MASTER
VALUES(1003,'Tata','PCD531','Sancheti',113)")
*
dbSendQuery(conn = first,
"CREATE TABLE INCOME
(
CompName TEXT,
In(2016) INTEGER,
In(2017) INTEGER,
In(2018) INTEGER,
FOREIGN KEY(CompName)
*
)")
dbSendQuery(conn = first, "INSERT INTO INCOME
VALUES('518361','528464','538646')")
dbSendQuery(conn = first, "INSERT INTO INCOME
VALUES('218434','205314','225815')")
dbSendQuery(conn = first, "INSERT INTO INCOME
VALUES('1038434','1184344','128434')")
CompMAst <- dbGetQuery(conn = first, "SELECT * FROM COMPANY_MASTER")
Income <- dbGetQuery(conn = first, "SELECT * FROM INCOME")
```
While giving the above error in the
dbSendQuery(conn = first,
"CREATE TABLE INCOME
(
CompName TEXT,
In(2016) INTEGER,
In(2017) INTEGER,
In(2018) INTEGER,
FOREIGN KEY(CompName)
)")
region of the code. What does this error mean? Is it some specific format error? Or have i missed some chunk that had to be mentioned before executing. Or is some other package involved Please help.
According to #SatZ and the error of you giving four columns and entering three values your ideal code should be
```{r}
library(sqldf)
first <- dbConnect(SQLite(), dbname= "DATA.sqlite")
dbSendQuery(conn = first,
"CREATE TABLE COMPANY_MASTER
(
CompId INTEGER,
CompName TEXT,
Address TEXT,
DirectorName TEXT,
EmployeeNo INTEGER,
PRIMARY KEY(CompName)
)")
dbSendQuery(conn = first, "INSERT INTO COMPANY_MASTER
VALUES(1001,'Infosys','ABC1927','Dr.Sandeep',128)")
dbSendQuery(conn = first, "INSERT INTO COMPANY_MASTER
VALUES(1002,'Cognizant','ERT654','Michael',156)")
dbSendQuery(conn = first, "INSERT INTO COMPANY_MASTER
VALUES(1003,'Tata','PCD531','Sancheti',113)")
dbSendQuery(conn = first,
"CREATE TABLE INCOME
(
CompName TEXT,
IN_2016 TEXT,
IN_2017 TEXT,
IN_2018 TEXT)")
dbSendQuery(conn = first, "INSERT INTO INCOME
VALUES('Infosys','5183.61','5284.64','5386.46')")
dbSendQuery(conn = first, "INSERT INTO INCOME
VALUES('Cognizant','2184.34','2053.14','2258.15')")
dbSendQuery(conn = first, "INSERT INTO INCOME
VALUES('Tata','10384.34','11843.44','1284.34')")
CompMAst <- dbGetQuery(conn = first, "SELECT * FROM COMPANY_MASTER")
Income <- dbGetQuery(conn = first, "SELECT * FROM INCOME")
```
The dbSendQuery() method returns a "DBIResult" object, it's the caller's responsibility to clear it with dbClearResult(). For queries that don't return a result set, use dbExecute() instead of dbSendQuery() to avoid the warning. (dbExecute() is the equivalent of dbGetQuery() for queries that don't return a result set.)
See the help to dbBind() for use cases of the longer form dbSendQuery() + dbFetch() + dbClearResult().

R Multiline statement when using RSQLite

I am having a transaction that needs to run on sqlite. The Transaction includes several queries. If built separately (line by line) it works but it requires the call of dbSendQuery n-times. It slows down the code quite a bit.
The ideal code should look like this, but multiline query fails:
library("RSQLite")
con <- dbConnect(RSQLite::SQLite(), dbname="test.db")
dbSendQuery(con, paste("CREATE TABLE Variables (Name TEXT PRIMARY KEY, RealValue REAL, IntegerValue INTEGER, BlobValue BLOB, TextValue TEXT)"))
dbSendQuery(con, paste("INSERT INTO Variables (Name) VALUES ('newid');"))
dbSendQuery(con, paste("BEGIN IMMEDIATE TRANSACTION;",
"UPDATE Variables SET TextValue = '0' WHERE Name = 'newid';",
"UPDATE Variables SET RealValue = 0 WHERE Name = 'newid';",
"UPDATE Variables SET IntegerValue = 0 WHERE Name = 'newid';",
"COMMIT;",sep=" "))
a <- dbFetch(dbSendQuery(con, paste("SELECT * FROM _Variables;")))
dbSendQuery(con, paste("COMMIT;"))
Consider the RSQLite methods: dbBegin() and dbCommit() (w/ dbRollback for any errors) to handle transactions. Even consider combining all UPDATE statements into one:
library("RSQLite")
con <- dbConnect(RSQLite::SQLite(), dbname="test.db")
dbSendStatement(con, "CREATE TABLE [Variables] ([Name] TEXT PRIMARY KEY, [RealValue] REAL, [IntegerValue] INTEGER, [BlobValue] BLOB, [TextValue] TEXT)")
dbSendStatement(con, "INSERT INTO [Variables] ([Name]) VALUES ('newid')")
dbBegin(con)
tryCatch({
dbSendStatement(con, "UPDATE [Variables] SET TextValue = '0', RealValue = 0, IntegerValue = 0 WHERE [Name] = 'newid'")
}, error=function(e) dbRollback(con))
dbCommit(con)
a <- dbGetQuery(con, "SELECT * FROM [Variables]")
You can even combine UPDATE statement into one query:

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