Deephaven Core+ Python Documentation

Deephaven Core+ workers build upon the Deephaven Community Core engine and environment, but are integrated into the Deephaven Enterprise system. For most operations, the Deephaven Community documentation should be your starting point. These documents provide information on how to use Enterprise-only features such as Persistent Queries, spawning workers and persistent storage.

• deephaven_enterprise.acl_generator and deephaven_enterprise.edge_acl enable query writers to control access to the work product of a Persistent Query.

• deephaven_enterprise.auth_context provides tools for getting the current context’s authenticated and effective user

• deephaven_enterprise.checkpoint_control reports on and repairs table location checkpoint records from a Core+ worker

• deephaven_enterprise.controller_import allows the import of Python modules from the Persistent Query Controller Repository.

• deephaven_enterprise.data_ingestion supports ingesting external data into Deephaven by creating in-worker DISs in Python.

• deephaven_enterprise.database provides access to persistent Deephaven live and historical tables.

• deephaven_enterprise.iceberg provides tools for discovering and interacting with Iceberg tables

• deephaven_enterprise.intraday_control manages intraday data from a Core+ worker

• deephaven_enterprise.input_tables allows you to create input table specifications

• deephaven_enterprise.notebook allows you to import Deephaven Web notebooks as Python modules.

• deephaven_enterprise.performance_overview enables analyzing the performance of Community queries.

• deephaven_enterprise.pivot allows you to create a pivot table from a Deephaven table.

• deephaven_enterprise.remote_table allows you to subscribe to tables from other Core+ workers.

• deephaven_enterprise.system_table_logger provides facilities for logging a Table to Intraday storage.

• deephaven_enterprise.table_tools enables the read/write of tables in the Deephaven Enterprise format

• deephaven_enterprise.venv provides tools for managing a worker’s Python virtual environment