* Update README to be more concise and accurate

* Added an extra line in top level README to direct users to language-specific READMEs
This commit is contained in:
Jonathan Zhu 2020-02-03 14:16:29 -08:00 коммит произвёл GitHub
Родитель 660ac7bc48
Коммит 07cb8a335d
Не найден ключ, соответствующий данной подписи
Идентификатор ключа GPG: 4AEE18F83AFDEB23
3 изменённых файлов: 5 добавлений и 8 удалений

Просмотреть файл

@ -201,8 +201,7 @@ assert not sqlpy.check_sproc(sp_name)
### Package Management
##### In SQL Server 2017, only R package management in Windows is supported.
##### R and Python package management on both Windows and Linux platforms is supported in SQL Server 2019 CTP 2.4 and later.
##### Package management with sqlmlutils is supported in SQL Server 2019 CTP 2.4 and later.
##### Install and remove packages from SQL Server
@ -226,7 +225,6 @@ val = sqlpy.execute_function_in_sql(import_astor)
pkgmanager.uninstall("astor")
```
# Notes for Developers
### Running the tests

Просмотреть файл

@ -120,9 +120,7 @@ dropSproc(connectionString = connection, name = name)
### Package Management
##### In SQL Server 2017, only R package management in Windows is supported.
##### R and Python package management on both Windows and Linux platforms is supported in SQL Server 2019 CTP 2.4 and later.
##### Package management with sqlmlutils is supported in SQL Server 2019 CTP 2.4 and later.
##### Install and remove packages from the SQL database

Просмотреть файл

@ -5,6 +5,8 @@
sqlmlutils is a package designed to help users interact with SQL databases (SQL Server and Azure SQL Database) and execute R or Python code in SQL from an R/Python client.
Currently, only the R version of sqlmlutils is supported in Azure SQL Database. Python support will be added later.
### Check out the README in each language folder for language-specific details and code examples!
# Installation
To install sqlmlutils, follow the instructions below for Python and R, respectively.
@ -42,7 +44,6 @@ The goal of this utility is to allow users to create and execute stored procedur
## Package Management
##### In SQL Server 2017, only R package management in Windows is supported.
##### R and Python package management on both Windows and Linux platforms is supported in SQL Server 2019 CTP 2.4 and later.
##### Package management with sqlmlutils is supported in SQL Server 2019 CTP 2.4 and later.
With package management users can install packages to a remote SQL database from a client machine. The packages are downloaded on the client and then sent over to SQL databases where they will be installed into library folders. The folders are per-database so packages will always be installed and made available for a specific database. The package management APIs provided a PUBLIC and PRIVATE folders. Packages in the PUBLIC folder are accessible to all database users. Packages in the PRIVATE folder are only accessible by the user who installed the package.