SQLite into Apache Arrow with ADBC
SQLite 3.45, read and written through adbcBridge — the ADBC driver that loads the database's ODBC driver — verified on Linux, macOS arm64 and Windows x64. Everything below is the compatibility matrix's record for this row.
Status
PASS
PASS (SQLite 3.51.0)
PASS (SQLite 3.43.2, SQLite3 ODBC Driver)
Driver and connection string
- ODBC driver
- sqliteodbc 0.99991
- Wire
- native ODBC
- adbcBridge
- 0.1.1 (release)
The connection string the matrix used, as the connection strings reference records it (File-based (no server)); {drv} is the driver library or its name from odbcinst.ini, and the host, port and credentials are the test server's.
Driver={drv};Database=<path>/m.db;
Python
import adbcbridge
# {drv}: the ODBC driver library (path), or its name from odbcinst.ini
conn = adbcbridge.connect(uri="Driver={drv};Database=<path>/m.db;")
with conn.cursor() as cur:
cur.execute("SELECT * FROM my_table")
table = cur.fetch_arrow_table() # pyarrow.Table
Polars and pandas
import polars as pl, pandas as pd
df = pl.read_database("SELECT * FROM my_table", connection=conn) # Polars, Arrow-native
pdf = pd.read_sql("SELECT * FROM my_table", conn) # pandas 2.2+, ADBC connection
pip install adbcbridge brings the driver library; the SQLite ODBC driver is installed the way its vendor documents, then named in Driver=. Rust, Go, C# and Java use the same connection string through their ADBC driver managers — see the docs.
What the matrix recorded
native delegation to adbc_driver_sqlite when installed