magical-sqlserver 0.1.0

Microsoft SQL Server for applications, like magic

Magical SQL Server

Microsoft SQL Server integration for applications, like magic.

What is this?

Do you have some application that needs to consume data stored on SQL Server Database, or needs to post data into this database? Magical SQL Server will handle that for you easily.

Requirements

To use this module, you have to install python3 and pymssql:

pip3 install pymssql

Bulk insert method uses BCP to copy multiple rows efficiently. See Microsoft Documentation to install it on your machine.

Usage

Let's say that you have some table called my_database.dbo.users:

id	name	team
1	example	example
2	new_user	users

To retrieve all data from table:

from magical_sqlserver import SQLServer
sql = SQLServer (
    user,
    password,
    host,
    my_database,
    port=1433,
)

data = sql.select("users")

This will return:

[
  {
    "id": 1,
    "name": "example",
    "team": "example"
  },
  {
    "id": 2,
    "name": "new_user",
    "team": "users"
  }
]

You can filter columns and get specific columns:

data = sql.select("users", condition={"id":1}, columns=["name"])

With result {"name":"example"}.

With Context

You may use with statement so Magical SQL Server will open and closes a connection for you as your statement ends:

with SQLServer(user, host, password, my_database) as sql:
    sql.select("users")

You can close your connection manually with sql.close() method too.

Writing data

Single records

To create new record:

data = {"id":3, "name":"bar"}

sql.insert("users", data)

To update existing records:

sql.update("users", data={"name":"new_name"}, contition={"id":1})

You can delete records too:

sql.delete("users", {"id":2, "name":"new_user"})

It's relevant to say that all conditions are additive. For example, if your update has condition {"id": 1, "name": "new_user"}, this module will build an sql query that has id = 1 and name = 'new_user' and will try this against the database. In the table above, no data will be updated.

Bulk Insert

Simply pass an list of dicts to bulk_insert method. It will transform it to csv temporary files and copy it to table with BCP method. See requirements for more details.

data = [{"id":4, "name":"me"},{"id":5, "name":"you"}]

sql.bulk_insert("users", data)

Other Stuff

You can run generic queries with method query:

data = sql.query("select top(10) * from my_table join users on my_table.id = users.id")

And retrieve all tables from Sql Server Schema:

tables_list = sql.tables()