![]() ![]() sicatest2 = dbGetQuery (pconn_r, 'select * from sicatest' ) This happens because the numeric integer is automatically converted to a floating point numeric, which loses precision with big numbers.Īlso unfortunately, it has returned dates and booleans as strings, which is incorrect, but we can work around that. ![]() Well, that didn't go as expected, right? If you look closely, the table has the number 9223372036854775807, but the query has returned 9223372036854775808 □. install.packages ( 'RPostgres' ) library (RPostgres ) Check out the official docs for installing instructions if you run into issues. This is another PostgreSQL library, that has much better support using the libpq library, you'll probably need to install the postgresql development header libraries locally for this one to be installed succesfully. "The RPostgreSQL driver doesn't support SSL-secured Redshift clusters." The good thing is this driver works fine with dbplyr. In my humble opinion this is not a good option, even if you don't use SSL now, if your company requires it in the future you may need to change all your code to switch drivers. There are two major problems with this driver though: It lacks SSL support, and you don't have transactions like you do with the official driver. RPostgreSQL is configured like this: install.packages ( 'RPostgreSQL' ) library (RPostgreSQL ) RPostgreSQLĪmazon Redshift is mostly PostgreSQL compatible, so most PostgreSQL drivers work well. This package has some big problems though, which I'll explain later on this post. Until a few days ago since the writing of this blogpost, this was the recommended package for uploading data and inserting/deleting data, since you usually want be able to unite your operations which modify data into a single transaction. This package was the only one I found which supported transactions on Redshift ( BEGIN, COMMIT, ROLLBACK) until recently, otherwise on other packages DDL operations will autocommit. The first 3 lines you only need to run them once, they download Redshift's official JDBC driver and install the RJDBC package. Of course you can change the url with the options you need for your particular setup. Jconn <- dbConnect (driver, url, user, password ) ![]() Url <- sprintf ( "jdbc:redshift://%s:%s/%s?tcpKeepAlive=true&ssl=true&sslfactory=.NonValidatingFactory", host, port, dbname ) Install.packages ( 'RJDBC' ) suppressPackageStartupMessages (library (RJDBC ) ) # Use Redshift driverĭriver <- JDBC ( "41.Driver", "~/.redshiftTools/redshift-driver.jar", identifier.quote = "`" ) # Create connection This is the "official" way to use Amazon Redshift with R, using the JDBC driver on SQL Workbench/J is the official way to connect to it according to the documentation, and this driver can be loaded like this: # Save the driver into a directoryĭownload.file ( '', '~/.redshiftTools/redshift-driver.jar' ) For all of the connections, we'll define these variables for connecting: dbname = "dbname" This operation gets tables from a database.First of all, let's go through the 3 options we have for connecting to Amazon Redshift. For more information, please see the Connectors overview for canvas apps - Power Apps | Microsoft Docs NameĪuthentication type to connect to your database If the power app is shared with another user, connection is shared as well. The connector supports the following authentication types: This connector is available in the following products and regions: ServiceĪll Logic Apps regions except the following:Īll Power Automate regions except the following:Īll Power Apps regions except the following: Connect to Amazon Redshift database to read data from tables. Amazon Redshift is a fast, fully managed, petabyte-scale data warehouse service from Amazon. ![]()
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