Skip to main content

No project description provided

Project description

MySQL Database Utility Functions

A set of Python functions to interact with MySQL databases. These functions cover various database operations, including table manipulation, data insertion, selection, update, and deletion.

Function Definitions

from mysqldbutils import get_database_url, list_tables

get_database_url(host, port, database_name, username, password)

Returns a database_url which needs to pass for all the further functions

list_tables(database_url)

Returns a list of tables in the specified MySQL database.

create_table(database_url, table_name, columns)

Creates a new table in the database with the given name and columns.

insert(database_url, table_name, data)

Inserts a single row of data into the specified table.

insert_many(database_url, table_name, data_list)

Inserts multiple rows of data into the specified table.

select_all(database_url, table_name)

Selects all rows from the specified table.

select_with_pagination(database_url, table_name, from_index, to_index)

Selects a range of rows from the specified table with pagination.

select_by_column(database_url, table_name, column_name, column_value)

Selects rows from the specified table where a specific column matches a given value.

select(database_url, table_name, where_dict)

Selects rows from the specified table based on the provided conditions.

update(database_url, table_name, update_dict, where_dict)

Updates rows in the specified table based on the provided conditions with new values.

delete(database_url, table_name, where_dict)

Deletes rows from the specified table based on the provided conditions.

truncate(database_url, table_name)

Truncates (removes all rows from) the specified table.

delete_table(database_url, table_name)

Deletes the specified table from the database.

sql_query(database_url, raw_sql_query)

Executes a raw SQL query on the specified database and returns the result.

Example Usage

Below are examples illustrating the usage of some functions. Note that you need to replace the placeholder values with your actual database details.

```python # Example usage of get_database_url database_url = get_database_url(“localhost”, “5432”, “test”, “root”, “password”)

Example Usage of list_tables

list_of_tables = list_tables(database_url) print(“List of Tables:”, list_of_tables)

Example Usage of create_table

create_table(database_url, “new_table”, [“column1 INT”, “column2 VARCHAR(50)”])

Example Usage of insert

insert(database_url, “existing_table”, {“column1”: 123, “column2”: “example_data”})

Example Usage of insert_many

data_to_insert_many = [ {“column1”: 456, “column2”: “more_data”}, {“column1”: 789, “column2”: “additional_data”}] insert_many(database_url, “existing_table”, data_to_insert_many)

Example Usage of select_all

all_rows = select_all(database_url, “existing_table”) print(“All Rows:”, all_rows)

Example Usage of select_with_pagination

selected_rows = select_with_pagination(database_url, “existing_table”, 1, 5) print(“Selected Rows:”, selected_rows)

Example Usage of select_by_column

selected_rows_by_column = select_by_column(database_url, “existing_table”, “column1”, 456) print(“Selected Rows by Column:”, selected_rows_by_column)

Example Usage of select

conditions = {“column1”: 123} selected_rows_with_conditions = select(database_url, “existing_table”, conditions) print(“Selected Rows with Conditions:”, selected_rows_with_conditions)

Example Usage of update

update_conditions = {“column1”: 123} update_values = {“column2”: “updated_data”} update(database_url, “existing_table”, update_values, update_conditions)

Example Usage of delete

delete_conditions = {“column1”: 123} delete(database_url, “existing_table”, delete_conditions)

Example Usage of truncate

truncate(database_url, “existing_table”)

Example Usage of delete_table

delete_table(database_url, “existing_table”)

Example Usage of sql_query

raw_sql_query = “SELECT * FROM example_table WHERE age > 25” result = sql_query(database_url, raw_sql_query) print(result)

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

mysqldbutils-0.6.tar.gz (4.1 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

mysqldbutils-0.6-py3-none-any.whl (4.5 kB view details)

Uploaded Python 3

File details

Details for the file mysqldbutils-0.6.tar.gz.

File metadata

  • Download URL: mysqldbutils-0.6.tar.gz
  • Upload date:
  • Size: 4.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.12

File hashes

Hashes for mysqldbutils-0.6.tar.gz
Algorithm Hash digest
SHA256 3e93d86aa705232c9b33f5e451c0842e6dac74144574485bee3be94fc910fa3a
MD5 e99cc9f250361dc884c91eafb5050f46
BLAKE2b-256 01eaa280acc3f2bfe2d9ccb17be71054002377d9a94aeaa33399f847f1bc7921

See more details on using hashes here.

File details

Details for the file mysqldbutils-0.6-py3-none-any.whl.

File metadata

  • Download URL: mysqldbutils-0.6-py3-none-any.whl
  • Upload date:
  • Size: 4.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.12

File hashes

Hashes for mysqldbutils-0.6-py3-none-any.whl
Algorithm Hash digest
SHA256 b216d0e5b66dde0923649e60e30ab7ae27707f1cce7fbdc68e4bcf4690f0bb87
MD5 cab7dd8aaff95aa138e81a1d221c25c3
BLAKE2b-256 33757ad61a8bf6795d38d29665bd5dc194c658d535a753a995f484f44465b4d8

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page