Skip to main content

Deephaven Core+ Python Client

The Deephaven Core+ Python client allows you to connect to Persistent Queries using the Core+ engine in the Deephaven Enterprise system. You may connect to either a new temporary Persistent Query, or one of the existing persistent queries that you have access to on the server.

The Python client wheel is located on a Deephaven server in /usr/illumon/coreplus/latest/py/wheel/, with a name of the form deephaven_coreplus_client-1.20231218.039-py3-none-any.whl. To use the wheel, use pip (e.g., pip install deephaven_coreplus_client-1.20231218.039-py3-none-any.whl). pip automatically installs dependencies referenced by the wheel, including the underlying pydeephaven client from Deephaven Community Core.

The first step in either case is to create a SessionManager, the Deephaven installation exposes a connection.json file that is the simplest way to create a session. Simply specify the URL from your Deephaven installation. Alternatively, you may provide a JSON string, using the json= named parameter.

from deephaven_enterprise.client.session_manager import SessionManager

connection_info = "https://deephaven-host.int.illumon.com:8000/iris/connection.json"
session_mgr: SessionManager = SessionManager(connection_info)

After the session is created, you may authenticate with a password:

session_mgr.password("username", "password")

Or using a private key:

session_mgr.private_key("/path-to-private-key/priv-username.base64.txt")

At this point, you can then connect to an existing Persistent Query. The session object extends from the Deephaven Community pydeephaven.session.Session. The Deephaven Community Python API documentation provides more information on interacting with the worker session.

session = session_mgr.connect_to_persistent_query("Community Python")
qc = session.open_table("tt")
print("Table size: ", qc.size)
session.close()

Instead of connecting to an existing Persistent Query, you can instead make a new temporary persistent query to host your worker.

session = session_mgr.connect_to_new_worker(name=None, heap_size_gb=1.0)

# We can run arbitrary script code
session.run_script(
    'from deephaven import time_table\ntt = time_table("PT1s").update("Remote=false")'
)

table = session.time_table(period=1000_000_000).update("Remote=true")
session.bind_table("remote", table)

session.close()

You can interact with the session through the Community Python API and view tables with the Deephaven Web UI. By default, the temporary queries are stopped and deleted after you close the session object.

Metadata

Release files for deephaven-coreplus-client 2026.1.60

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for deephaven-coreplus-client 2026.1.60
File Size Uploaded
deephaven_coreplus_client-2026.1.60.tar.gz 4.3 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for deephaven-coreplus-client 2026.1.60
File Interpreter ABI Platform
deephaven_coreplus_client-2026.1.60-py3-none-any.whl Python 3 none any Details

Total release size: 113.7 kB

Release files / deephaven_coreplus_client-2026.1.60.tar.gz

Download URL deephaven_coreplus_client-2026.1.60.tar.gz
Size 4.3 kB
Tags Source
SHA-256 checksum
How to use checksums
f2ff77d58a59d532e877c186054937fa8ee23b3459943de0c7cc60b7659bc074
BLAKE2b-256 checksum
How to use checksums
5752cef260c795540ed1abbc564de63886a7825ebe18bc70621f128e3c0cd680
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.12.12

Release files / deephaven_coreplus_client-2026.1.60-py3-none-any.whl

Download URL deephaven_coreplus_client-2026.1.60-py3-none-any.whl
Size 109.4 kB
Tags Python 3
SHA-256 checksum
How to use checksums
19fd69cf45419958d0348830a5bb09b54909c3d455d4cd9cd4bd90e3ac53b6d9
BLAKE2b-256 checksum
How to use checksums
17086bda54c32a3e5efed3d61f7ff02da40dc897f7c28792747f328b99e1eac2
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.12.12
Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page