loadit

A blazing fast database for FEM loads.

Requirements

• python 3.6 (or later)
• numpy
• pyarrow
• numba
• pandas
• pyjwt
• wxpython

Installation

Run the following command:

pip install loadit

Usage example

Launch the database manager:

client = loadit.Client()

Create a new database:

database = client.create_database('example_local_database')

Load an existing database:

database = client.load_database('example_local_database')

Connect to a remote server (you will be asked to login):

client.connect('192.168.0.154:8080')

Create a new remote database:

database = client.create_remote_database('example_remote_database')

Load an existing remote database:

database = client.load_remote_database('example_remote_database')

Database management

Check database integrity:

database.check()

Display database info:

database.header.info()

Perform a query:

dataframe = database.query_from_file(query_file)

Append new result files to an existing database (this action is reversible):

files = ['/Users/Alvaro/FEM_results/file03.pch', '/Users/Alvaro/FEM_results/file04.pch']
batch_name = 'new_batch'
database.new_batch(files, batch_name)

Restore database to a previous state (this action is NOT reversible!):

database.restore('Initial batch')

Add an attachment:

database.add_attachment('/Users/Alvaro/Desktop/nastran_model_input/BulkData.zip')

Download an attachment:

database.download_attachment('BulkData.zip', '/Users/Alvaro/Desktop/nastran_model_input/BulkData.zip'')

Remove an attachment:

database.remove_attachment('BulkData.zip')

Cluster management

Show remote cluster info:

client.info()

Sync databases between cluster nodes:

client.sync_databases()

Shutdown the cluster:

client.shutdown()

Contact

Alvaro Sanz Oriz – alvaro.sanz.oriz@gmail.com