Package for fast interactive work with SQL Server

Usage is:

• pulling data from SQL Server
• pushing data into SQL Server
• retrieving basic info about SQL table
• retrieving basic info about SQL database
• allows user to create table, drop table, delere rows in table or create new table on SQL Server

Install package directly from github:

library(devtools)
install_github("martinkabe/RSQLS")

Install package from folder content:

• download zip file RSQLS -> Clone or download -> Download ZIP

library(devtools)
install('/RSQLS/package/diR')
library(RSQLS)
?RSQLS # for basic Help

• Windows OS
• .NET Framework 4.5.1 or newer. How do I check it: link
• R Version R-3.4.2 or newer. Available at: RProject

push_data

• Pushing data into SQL Server.
• Table on SQL Server is automatically created if doesn't exist.
• Data types are automatically estimated (functionality is able to recognize scientific format and convert to appropriate sql data type - int, float, decimal, ... It is also able to distinguish date, datetime format and datetime in ISO format).

push_data(connString, df, sqltabname, append = TRUE, showprogress = FALSE, quotes = "auto", separator = '|')
# If append == TRUE then appending new rows into existing SQL table. If append == FALSE then deletes rows in existing SQL table and appends new records.
# Additional parameters such as quotes ("auto", TRUE or FALSE) and separator (e.g. '|', '~', ',') can be defined before StreamReader reads csv generated by data.table::fwrite method.

pull_data

• Pulling data from SQL Server.

pull_data(connString, sqltask, showprogress = FALSE)
dpull_data(connString, sqltask, showprogress = FALSE) # pulling data from SQL Server directly into flat file via StreamReader class

send_SQL_task

• Allows user to create table, drop table, delere rows in table or create new table on SQL Server.

send_SQL_task(connectionString, sqltask)

get_DB_info

• Retrieving basic info about SQL database. Be sure you have a permissions for access to sys.dm_db_index_usage_stats: check it with SELECT * FROM sys.dm_db_index_usage_stats. If not, contact your SQL Server admin.

get_DB_info(connectionString)

get_table_info

• Retrieving basic info about SQL table.

get_table_info(connectionString, sqltabname)

• push_data

push_data(connectionString, dataFrame, "dbo.TableName")

• pull_data

pull_data(connectionString, "SELECT * FROM dbo.TableName")

• send_SQL_task

send_SQL_task(connectionString, "CREATE TABLE dbo.TableName (ID int not null, Name varchar(100))")
send_SQL_task(connectionString, "DELETE FROM dbo.TableName WHERE ColumnName = 'SomeValue'")
send_SQL_task(connectionString, "DROP TABLE dbo.TableName")

• get_DB_info

get_DB_info(connectionString)

• get_table_info

get_table_info(connectionString, "dbo.tableName")

• How to set up connection string

# set_connString(datasource, database, usr, pwd)
# If username and password missing or empty Integrated Security=True is used in connection string instead.
connectionString <- set_connString(datasource = "LAPTOP-USER\\SQLEXPRESS", database = "Database_Name")
# Connection string with username and password:
connectionString <- set_connString(datasource = "LAPTOP-USER\\SQLEXPRESS", database = "Database_Name", usr = "username", pwd = "password")

All connections are closed automatically.

Tested on Intel(R) Core(TM) i7-7500 CPU, 2.70GHz 2.90GHz, 12GB RAM, x64 Operating System Windows, SQL Server 2014 Express.

• Pushing data from data.frame/data.table to table on SQL Server (average time in seconds after 3 replications) with mixed data types such as int (mixed with scientific notation), varchar, float, date, datetime in ISO format:

DBI::dbWriteTable and RODBC::sqlSave incorrectly classified scientific notation (1e5, 1.45e2, ...) as varchar type. The same situation with datetime in ISO format was classified as varchar in both cases. RSQLS::push_data correctly classified scientific notation as int or float and datetime in ISO format is correctly datetime data type.

Source code for benchmark is available at link

• Pulling data from table on SQL Server into data.frame/data.table:

Approximately the same like DBI::dbFetch and many time faster than RODBC::sqlQuery

• Martin Kovarik

This project is licensed under the GPL-2 | GPL-3.