Input parameter is a csv file nameĮxport the staging tables back to a csv file. Import the two csv files into staging tables in. We will do the following for this import / export requirements: I will load these two files to my local SQL Server 2016 instance, i.e. These two files are pretty typical in feature, the Demographic_Statistics_By_Zip_Code.csv are all pure numeric values, and another file has big number of columns, 122 columns to be exact. In my case, I created a folder C:\RData and put them there as shown below We will download the first two dataset CSV files, “College Scorecard” and “Demographic Statistics By Zip Code”, just click the arrow-pointed two links as shown below, and two CSV files will be downloaded.Īfter downloading the two files, we can move the “Consumer_complain.csv” and “Most-Recent-Cohorts-Scorecard-Elements.csv” to a designated folder. Let’s first prepare some real-world CSV files, I recommend to download CSV files from 193,992 datasets found. What is more interesting here is SQL Server R service is installed with an enhanced and tailored for SQL Server 2016 R package RevoScaleR package, which contains some handy functions. However, since any data analysis work naturally needs to deal with external data sources, among which is CSV file, we can use this capability to our advantage. The main purpose of R language is for data analysis, especially, in statistics way. T-SQL integrates R via a new stored procedure: sp_execute_external_script. For detailed installation, please see Set up SQL Server R Services (In-Database) To use R inside SQL Server 2016, we should first install the R Service in-Database. In this article, we will demonstrate how to use R embedded inside T-SQL to do import / export work. This dilemma is changed since the release of SQL Server 2016, which has R integrated. Writing a CLR stored procedure or using PowerShellįor export, we can use the following methodsīut to do both import and export inside T-SQL, currently, the only way is via a custom CLR stored procedure. Importing and exporting CSV files is a common task to DBAs from time to time.įor import, we can use the following methods
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