Mireo SpaceTime database connector
Project description
Mireo SpaceTime database remote connector
stdb-driver is a Python module for managing remote Mireo SpaceTime database.
Features
- Both blocking and asynchronous modes of operation are available.
- Supports listing nodes; listing, creating and droping tables; inserting rows; and performing range queries.
- Range query results are convertible to Python lists, NumPy arrays and Pandas dataframes.
- Requires CPython 3.10+.
- Available for Linux (glibc 2.17+ and musl 1.2+; x86-64) and Windows (x86-64).
Installation
pip install -U stdb-driver -i https://pypi.mireo.local
Conversions to NumPy and Pandas data types require those packages that can be installed as optional dependencies:
pip install -U stdb-driver[numpy]
pip install -U stdb-driver[pandas]
pip install -U stdb-driver[all]
Example
import stdb_driver
# Connect
session = stdb_driver.SessionConfig().zk_hosts(<address>).build()
print(session.status()) # SessionStatus.Connected
# List nodes and tables
print(session.list_nodes(), session.list_tables())
# Run range query
RALL = stdb_driver.RANGE_ALL
res = session.range_query('segment', [[(1, 10000), RALL, RALL, RALL, RALL, RALL, RALL, RALL, RALL]])
# Print column names and their MSQL data types
print(res.row_type.columns)
# Iterating over rows converts each lazily to a Python list of appropriate Python data types
for row in res:
print(row)
# Query result can be converted to:
rows = res.to_list() # Python list of appropriate Python data types
arr = res.to_numpy() # NumPy array of appropriate NumPy data types (requires numpy)
df = res.to_pandas() # Pandas dataframe of appropriate NumPy/Pandas data types (requires pandas)
# Disconnect
session.stop()
print(session.status()) # SessionStatus.Stopped
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