Access node and vault data for analytics using pandas DataFrames. Currently only works with H2 database. We'll be adding other DBs shortly and possibly support for queryable states.
Access docs on PyCorda.com (coming soon)
import pycorda as pyc url = 'jdbc:h2:tcp://localhost:52504/node' username = 'sa' password = '' node = pyc.Node(url, username, password) print(node.get_node_infos()) node.close()
To get started using the PyCorda library, install it with
pip install pycorda
If there is a H2 server running with tcp connections allowed, then you can connect to a database located at the JDBC url with:
from pycorda import Node node = Node(url, username, password)
An h2.jar file is required in your projects local folder. If your H2 jar file is elsewhere in your filesystem, try this. This needs to be done only once:
from pycorda import Node node = Node(url, username, password, path_to_jar)
Accepted JDBC urls are in the format jdbc:h2:tcp://hostname:portnumber/path_to_database.
Managing H2 Jars
An h2.jar file stored locally in the project folder is required. H2Tools allows you to pull a jar programmatically. You'll need to do this once, so either manually or programmatically is fine as long as the h2.jar file is there.
import pycorda as pyc h2 = pyc.H2Tools() ver = h2.get_latest_version() print(ver) h2.download_h2jar() # downloads latest h2 jar and stores in local folder as h2.jar
- Currently supports 64-bit versions of Python 3 and JVMs only
- Drop an H2 jar into your project file naming it h2.jar