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A library to handle your databases: cassandra, mariadb, (mysql), sqlite3

Project description

MrlDB by Rémi "Mr e-RL" LANGDORPH

Copyright (c) 2019 Rémi LANGDORPH - (under MIT license)


pypi project

github repo

Install with pypi:

pip install mrldb

This package supports the followings database systems: mariadb, mysql, cassandra, sqlite3

Basic example script:

from mrldb import MrlDBCassandra, MrlDBCluster, mdbcl

# Create the cluster
# last cluster reated can be accessible with mdbcl

# we add a simple cassandra cluster as connection to the mrldb cluster, we set cc0 as an alias to the db
mdbcl.add("cassandracluster0", MrlDBCassandra(""), aliases=["cc0"])
# we can add other aliases to this connection:
mdbcl.addalias("cassandracluster0", ["cc0_", "cassandra0", "testcluster"])
# you can connect to your host with password and username
mdbcl.add("cassandracluster1", MrlDBCassandra("", username="admin", password="something"))
# you can specify the database too
mdbcl.add("cassandracluster2", MrlDBCassandra("", database="mydbtest", aliases=["cc3"]))
# and the best, you can provide database structure to have advanced features
mdbcl.add("cassandracluster3", MrlDBCassandra("", database="mydbtest",
structure={"table0": {"col1": "integer unique", "col2": "text"}, "table2": {"name": "text"}}), aliases=["cc3"])

# the following examples are working for all the differents database systems
# with the correct structure, the following command will give you for each records a dict with the col name and the value, (you can replace the columns by a "*")
mdbcl.get("cc3").select(table="table0", columns=["col1"], conds=None)
# result= [{"col1": 0}, {"col1": 1}...]

# you can use this without structure, it just return the results without dictionnarys
mdbcl.get("cc2").select(table="table0", columns=["col1"], conds=None)
# result= [(0, ), (1, )...]

# you can use conditions
mdbcl.get("cc3").select(table="table0", columns="*", conds="col2='test'")
# result= [{"col1": 0, "col2": "test"}, ...]

# data is a dict with all the values to insert
mdbcl.get("cc3").insert(table="table0", data={"col1": 5, "col2": "ok"})

# use data as the insert command, you can specify conditions with conds
mdbcl.get("cc3").update(table="table0", data={"col1": 5, "col2": "ok"}, conds="col2='test'")

# DB init
# will create the table (or ignore if exists) as the structure
# with structure={"table0": {"col1": "integer unique", "col2": "text"}, "table2": {"name": "text"}}
# will execute the following commands:
# ['CREATE TABLE IF NOT EXISTS table0(col1 integer unique, col2 text)',
#  'CREATE TABLE IF NOT EXISTS table2(name text)']

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