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Google Cloud Spanner into Apache Arrow with ADBC

Google Cloud Spanner (emulator + PGAdapter 0.55), 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

Linux✓ pass

PASS

macOS arm64✓ pass

PASS (Spanner emulator + PGAdapter, PostgreSQL wire 14.1; 300/2,000 rows as on Linux)

Windows x64✓ pass

PASS (Spanner emulator + PGAdapter 0.55.2, PostgreSQL wire 14.1.0; compat only — the Python bench is not run against the emulator, see the Windows benchmark file)

Driver and connection string

ODBC driver
psqlodbc 16 (PG wire)
Wire
PostgreSQL wire
adbcBridge
0.1.1 (release)

The connection string the matrix used, as the connection strings reference records it (PostgreSQL wire); {drv} is the driver library or its name from odbcinst.ini, and the host, port and credentials are the test server's.

Driver={drv};Server=127.0.0.1;Port=15442;Database=test-database;Uid=adbc;

Python

import adbcbridge

# {drv}: the ODBC driver library (path), or its name from odbcinst.ini
conn = adbcbridge.connect(uri="Driver={drv};Server=127.0.0.1;Port=15442;Database=test-database;Uid=adbc;")
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 Google Cloud Spanner 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

two driver quirks, both keyed on a PGAdapter-only setting because version() just says PostgreSQL 14.1: psqlodbc inlines a parameter array's timestamps as '...'::timestamp, a type Spanner does not have, so a batch binding a timestamp goes row-at-a-time (no_timestamp_param_arrays); and every Spanner table needs a PRIMARY KEY, so generated ingest DDL adds a surrogate GENERATED BY DEFAULT AS IDENTITY column (ingest_key_column).

What this stack needed

Native ADBC driver, compared

Google Cloud Spanner speaks the PostgreSQL wire protocol, so Apache Arrow's native PostgreSQL ADBC driver (adbc-driver-postgresql 1.12.0) can be pointed at it too. On 2026-09-05 the same seven-step ADBC workload (connect, SELECT 1, DDL and inserts and a read, a 1,000-row adbc_ingest, table schema, catalog listing, read back) ran through both:

PathResultFirst error
Native ADBC driverfails at ingestINVALID_ARGUMENT: [libpq] Failed to create table: ERROR: Primary key must be defined for table "adbc_ing_np".
adbcBridge over ODBC✓ all seven steps

Where the native driver stops it is by design of that driver, not a defect of Google Cloud Spanner; the full table for all 28 wire-compatible databases, with each first error, is in the note.

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