adbc-driver-oracle

README

adbc-driver-oracle

An Apache Arrow ADBC driver for Oracle Database — pure Go, no Oracle Client libraries required.

Speaks Oracle's native TNS/TTC wire protocol directly from Go and returns Apache Arrow RecordBatches straight from the result set — the way python-oracledb's "thin mode" does, but for the whole ADBC ecosystem. No Instant Client, no ORACLE_HOME, no LD_LIBRARY_PATH. Just pip install. Supports the standard ADBC bulk-ingest path (Statement.BindStream → array-bind INSERT) for fast Arrow → Oracle loads.

Distributed as:

• a Go module — github.com/gizmodata/adbc-driver-oracle
• a pip install adbc-driver-oracle wheel for Python (macOS / Linux / Windows × x64 / arm64)
• a c-shared library (libadbc_driver_oracle.{so,dylib,dll}) attached to each GitHub Release for C / C++ / Rust / R / driver-manifest consumers

Status: Alpha. Tested against Oracle Database 23ai Free; the wire protocol targets Oracle 12.1 and later (the same range as python-oracledb thin mode). See Limitations for what is not covered yet.

Quickstart

1. Have an Oracle Database handy

For local development the gvenzl/oracle-free container is the fastest route (x86_64 and arm64):

docker run --name oracle-adbc-test -d -p 1521:1521 \
  -e ORACLE_PASSWORD=tiger -e APP_USER=scott -e APP_USER_PASSWORD=tiger \
  gvenzl/oracle-free:23-slim-faststart

That gives you oracle://scott:tiger@localhost:1521/FREEPDB1.

2. Install the driver

Python:

pip install adbc-driver-oracle

Go:

go get github.com/gizmodata/adbc-driver-oracle@latest

3. Connect and query

import adbc_driver_oracle.dbapi as oracle
import pyarrow

with oracle.connect(
    uri="oracle://scott:tiger@localhost:1521/FREEPDB1",
) as conn, conn.cursor() as cur:
    cur.execute("SELECT 42 AS answer, 'hello oracle' AS greeting FROM DUAL")
    table: pyarrow.Table = cur.fetch_arrow_table()
    print(table)

The result is a real pyarrow.Table — pass it straight to Polars, Pandas, DuckDB, ibis, or anything else that consumes Arrow:

import polars as pl
df = pl.from_arrow(table)

Prefer to keep credentials out of the URI? Pass them as options:

with oracle.connect(
    uri="oracle://localhost:1521/FREEPDB1",
    db_kwargs={"username": "scott", "password": "tiger"},
) as conn:
    ...

Alternative: drive adbc_driver_manager directly

If you prefer the generic ADBC driver manager idiom — passing the driver to adbc_driver_manager.dbapi.connect rather than going through our wrapper — point at the bundled shared library via _driver_path():

from adbc_driver_manager import dbapi
import adbc_driver_oracle

with dbapi.connect(
    driver=adbc_driver_oracle._driver_path(),
    entrypoint="OracleDriverInit",
    db_kwargs={"uri": "oracle://scott:tiger@localhost:1521/FREEPDB1"},
) as conn, conn.cursor() as cur:
    cur.execute("SELECT 42 AS answer FROM DUAL")
    table = cur.fetch_arrow_table()

Streaming large result sets

Cursor.fetch_record_batch() returns a pyarrow.RecordBatchReader that pulls rows from the server one batch at a time. Memory stays bounded by adbc.oracle.batch_size even when the result is millions of rows:

with conn.cursor() as cur:
    cur.execute("SELECT * FROM sales.orders")  # arbitrary size
    reader = cur.fetch_record_batch()
    for batch in reader:
        process(batch)

Oracle → GizmoSQL (or any ADBC target), ADBC to ADBC

The reader above can be handed straight to another driver's bulk ingest, so a table moves from Oracle into GizmoSQL without ever being materialised on the client — no pandas, no ODBC, no Oracle Client:

import adbc_driver_oracle.dbapi as oracle
import adbc_driver_gizmosql.dbapi as gizmosql

with oracle.connect(uri=oracle_uri) as src, \
     gizmosql.connect(gizmosql_uri, username="token", password=token) as dst:
    with src.cursor() as s, dst.cursor() as d:
        s.execute("SELECT * FROM sales.orders")
        rows = d.adbc_ingest(table_name="orders", data=s.fetch_record_batch(), mode="replace")
        dst.commit()
        print(f"Loaded {rows:,} rows")

(python/tests/test_oracle_to_gizmosql.py runs exactly this against a live Oracle + GizmoSQL pair in CI; GizmoSQL is a test-only dependency — the driver itself has no GizmoSQL code.)

DuckDB / GizmoSQL ↔ Oracle via adbc_scanner

Because the driver is a plain ADBC c-shared library, DuckDB — and therefore GizmoSQL, which embeds DuckDB — can talk to Oracle live through the adbc_scanner community extension, in both directions:

INSTALL adbc_scanner FROM community;
LOAD adbc_scanner;

-- credentials once, in a DuckDB secret
CREATE SECRET ora_secret (
    TYPE adbc,
    SCOPE 'oracle://db.example.com:1521/PROD',
    driver 'oracle',                      -- by name after `python -m adbc_driver_oracle install-manifest`,
                                          -- or a path: '/path/to/libadbc_driver_oracle.so'
    uri 'oracle://db.example.com:1521/PROD',
    username 'app',
    password 's3cret'
);

-- pull: Oracle as an attached catalog (projection + filter pushdown)
ATTACH 'oracle://db.example.com:1521/PROD' AS ora (TYPE adbc);
SELECT * FROM ora.SALES.ORDERS WHERE AMT > 100;
SELECT o.ORDER_ID, c.name FROM ora.SALES.ORDERS o JOIN customers c ON c.id = o.CUST_ID;

-- arbitrary Oracle SQL, and push in the other direction, via the same secret
SET VARIABLE ora = adbc_connect({'secret': 'ora_secret'});
SELECT * FROM adbc_scan(getvariable('ora')::BIGINT, 'SELECT * FROM sales.orders WHERE ROWNUM <= 10');
SELECT * FROM adbc_insert(getvariable('ora')::BIGINT, 'ORDERS_COPY', (SELECT * FROM local_orders), mode := 'create');

python/tests/test_adbc_scanner.py covers both directions.

DuckDB via connection profiles (the adbc community extension)

DuckDB's adbc community extension (INSTALL adbc FROM community; see the GizmoSQL guide) resolves databases through ADBC connection profiles — no credentials in your SQL — and additionally supports writes (INSERT, COPY, CREATE TABLE AS) into the attached database through ADBC bulk ingest:

python -m adbc_driver_oracle install-manifest      # registers driver "oracle"
cat > ~/.config/adbc/profiles/prod.toml <<EOF        # macOS: ~/Library/Application Support/ADBC/Profiles/
profile_version = 1
driver = "oracle"

[Options]
uri = "oracle://db.example.com:1521/PROD"
username = "app"
password = "s3cret"
EOF

INSTALL adbc FROM community;
LOAD adbc;

SELECT * FROM read_adbc('profile://prod', 'SELECT * FROM sales.orders WHERE ROWNUM <= 10');

ATTACH 'profile://prod' AS ora (TYPE adbc);
USE ora.SALES;
SELECT COUNT(*) FROM ORDERS;
CREATE TABLE ORDERS_2024 AS SELECT * FROM memory.staged_orders;   -- bulk ingest into Oracle

python/tests/test_duckdb_adbc_client.py covers read_adbc, ATTACH, and CTAS/INSERT. (The adbc_scanner extension above is the one to use when you want predicate/projection pushdown on attached tables.)

Bulk ingest (Arrow → Oracle)

import pyarrow as pa
import adbc_driver_oracle.dbapi as oracle

table = pa.table({"id": [1, 2, 3], "name": ["alice", "bob", "carol"]})
with oracle.connect(
    uri="oracle://scott:tiger@localhost:1521/FREEPDB1",
    autocommit=True,  # ADBC connections are autocommit-OFF by default;
                      # opt in here so the ingest persists on close
) as conn, conn.cursor() as cur:
    # create_append: create CUSTOMERS from the Arrow schema if it
    # doesn't exist, then append via array-bind INSERT.
    cur.adbc_ingest(table_name="customers", data=table, mode="create_append")

Heads-up — autocommit is off by default. Per the Python DB-API, oracle.connect() opens connections inside a transaction. Without the autocommit=True above (or an explicit conn.commit()), the append is rolled back when the connection closes. (Oracle DDL — the CREATE TABLE in the create-family modes — always commits implicitly.)

mode accepts the four standard ADBC ingest modes:

mode	behavior
create	create the table (errors if it already exists), then append — this is the default when mode is omitted
append	append to an existing table (no DDL; errors if missing)
replace	drop the table if it exists, recreate it, then append
create_append	create the table if it doesn't exist, then append

Table DDL for the create-family modes is generated from the Arrow schema (see Type mapping); simple column names are upper-cased like unquoted Oracle identifiers, anything else is quoted verbatim. Pass db_schema_name=... to target another schema. Rows are sent as array-bound INSERTs, 5000 per round trip. Statement options (cur.adbc_statement.set_options(...) / stmt.SetOption in Go):

Statement option	Default	Notes
adbc.oracle.ingest.batch_rows	5000	Rows per array-bind INSERT round trip.
adbc.oracle.ingest.varchar_length	4000	VARCHAR2(n) length for Arrow string columns in generated DDL.
adbc.oracle.ingest.string_type	VARCHAR2	VARCHAR2, NVARCHAR2, CLOB or NCLOB for string columns.
adbc.oracle.ingest.raw_length	2000	RAW(n) length for Arrow binary columns.
adbc.oracle.ingest.binary_type	RAW	RAW or BLOB for binary columns.
adbc.oracle.ingest.struct_type	JSON	JSON (21c+), CLOB, VARCHAR2 or BLOB for list / struct / map columns (stored as JSON text).
adbc.oracle.ingest.tablespace	(default)	TABLESPACE clause for tables created by ingest.

Values larger than the server's maximum VARCHAR2/RAW size are bound as LONG / LONG RAW, so strings and blobs of any size load into CLOB / BLOB columns.

Transactions (autocommit off)

import adbc_driver_oracle.dbapi as oracle

with oracle.connect(
    uri="oracle://scott:tiger@localhost:1521/FREEPDB1",
    autocommit=False,
) as conn, conn.cursor() as cur:
    cur.execute("INSERT INTO orders VALUES (1, 'pending')")
    cur.execute("INSERT INTO order_items VALUES (1, 'widget', 2)")
    conn.commit()  # both inserts persist atomically

PL/SQL: OUT / IN OUT binds and implicit result sets

A PL/SQL block's OUT / IN OUT binds come back as a one-row result set (the Arrow C Data Interface can't mutate bound input); each field carries ORACLE:parameter_type = OUT / IN OUT metadata. Bind a typed placeholder to choose the return type — an untyped None returns text:

cur.execute(
    "BEGIN :doubled := :n * 2; :greeting := 'hello ' || :greeting; END;",
    pa.record_batch([pa.array([None], pa.int64()), pa.array([21], pa.int64()), pa.array(["world"])],
                    names=["doubled", "n", "greeting"]),
)
cur.fetch_arrow_table().to_pylist()   # [{'DOUBLED': 42, 'GREETING': 'hello world'}]

Cursors returned with DBMS_SQL.RETURN_RESULT stream back exactly like a query (the first cursor; further ones are closed):

cur.execute("""DECLARE c SYS_REFCURSOR; BEGIN
                 OPEN c FOR SELECT * FROM emp; DBMS_SQL.RETURN_RESULT(c); END;""")
table = cur.fetch_arrow_table()

Object types, collections, XMLType and SDO_GEOMETRY

User-defined object types, VARRAYs and nested tables come back as JSON text — attributes keyed by name, collections as arrays, LOB attributes inlined, dates as ISO-8601 — so any Arrow consumer can read them without Oracle-specific type knowledge. XMLType columns come back as XML text and MDSYS.SDO_GEOMETRY as GeoArrow WKB (points, lines, polygons incl. rectangles, multi-geometries and collections, 2D/3D/4D; circular arcs are not supported). With adbc.oracle.use_extension_types=true the fields are annotated with Arrow extension types (arrow.json, arrow.opaque for XMLType, geoarrow.wkb) — pyarrow materialises them automatically:

with oracle.connect(uri=uri, db_kwargs={"adbc.oracle.use_extension_types": "true"}) as conn, conn.cursor() as cur:
    cur.execute("SELECT name, address, boundary FROM sites")   # address is an object type, boundary SDO_GEOMETRY
    table = cur.fetch_arrow_table()
    table.schema.field("BOUNDARY").type   # binary with geoarrow.wkb metadata -> shapely.from_wkb(...)

Nested Arrow columns (list, struct, map) are ingested as JSON text into JSON columns (21c+; adbc.oracle.ingest.struct_type selects CLOB, VARCHAR2 or BLOB instead).

Native Network Encryption (NNE)

The driver speaks Oracle's Advanced Networking Option, so it works with servers that require Native Network Encryption and/or data integrity checksumming — no Oracle Client and no TLS certificate wrangling. After the connect handshake it runs the encryption / checksum negotiation (Diffie-Hellman key exchange) and then AES-encrypts and checksums every packet.

It is on by default at accepted: nothing changes for a server that doesn't ask for it, and a server that requires it is transparently negotiated (AES-256 / SHA-512 in the common case). Force it with adbc.oracle.nne=required to guarantee the session is encrypted, or turn it off with rejected:

# Just works against a server with SQLNET.ENCRYPTION_SERVER=REQUIRED:
with oracle.connect(uri="oracle://user:pw@exadata-scan:1521/PROD") as conn, conn.cursor() as cur:
    cur.execute("SELECT * FROM sales.orders")   # every packet AES-encrypted + checksummed

# Refuse to connect unless the channel is encrypted:
oracle.connect(uri=uri, db_kwargs={"adbc.oracle.nne": "required"})

Supported: AES-128/192/256 encryption and MD5 / SHA-1 / SHA-256 / SHA-384 / SHA-512 checksums (the driver offers only AES ciphers; legacy RC4/DES are never used). Kerberos / RADIUS network authentication is not supported — use password, TLS or token auth. Over a tcps (TLS) connection NNE stays off by default since the channel is already encrypted.

Cancellation

cursor.adbc_cancel() (or a cancelled/expired context.Context in Go) interrupts the running server call; the statement fails with ORA-01013 and the connection stays usable. Cancellation uses TCP out-of-band data on Linux/macOS (in-band markers on Windows and over TLS), the same mechanism as python-oracledb.

Parameter binding

Positional ? placeholders are rewritten to Oracle's :1, :2, … bind variables; native :name / :1 styles pass through untouched:

cur.execute("SELECT ename, sal FROM emp WHERE deptno = ? AND sal > ?", (10, 1500))

Connection URL

oracle://[user[:password]@]host[:port]/SERVICE_NAME[?option=value...]
oracle://[user[:password]@]host[:port]?sid=ORCL

Oracle Easy Connect strings (host:port/service) and full (DESCRIPTION=...) TNS connect descriptors are accepted in place of the oracle:// form.

Option	Default	Notes
adbc.uri	—	Pass as the uri= kwarg to oracle.connect.
username / password	(URI)	Standard ADBC credential options; override the URI's user:password.
adbc.oracle.host	(URI)	Database host.
adbc.oracle.port	1521	Listener port.
adbc.oracle.service_name	(URI)	Service name (e.g. FREEPDB1).
adbc.oracle.sid	(none)	SID, as an alternative to a service name.
adbc.oracle.tls	false	true → TLS (tcps) transport.
adbc.oracle.tls.ca_cert	(none)	PEM CA bundle for verifying the server certificate.
adbc.oracle.tls.skip_verify	false	true → skip server certificate verification.
adbc.oracle.tls.server_name	(host)	Host name for certificate verification / SNI.
adbc.oracle.wallet_location	(none)	Directory containing ewallet.pem (Autonomous Database wallet); implies TLS. mTLS works with an unencrypted key.
adbc.oracle.token	(none)	OAuth / IAM bearer token instead of a password (TLS only).
adbc.oracle.mode	(none)	sysdba, sysoper, sysasm, sysbackup, sysdg, syskm, sysrac.
adbc.oracle.connect_timeout	30	Dial timeout, as seconds or a Go duration like 1.5s.
adbc.oracle.batch_size	65536	Maximum rows per Arrow record batch.
adbc.oracle.prefetch_rows	(batch size, max 65536)	Rows the server returns per fetch round trip.
adbc.oracle.number_mode	auto	NUMBER → Arrow policy: auto, decimal, double, string (see Type mapping).
adbc.oracle.interval_mode	monthdaynano	INTERVAL → Arrow policy: monthdaynano, duration (DAY TO SECOND), string (ISO 8601).
adbc.oracle.date_mode	timestamp	DATE → timestamp[s] (keeps the time of day) or date32.
adbc.oracle.batch_bytes	0	Approximate upper bound on bytes per Arrow record batch (0 = only batch_size applies).
adbc.oracle.disable_oob	false	Disable out-of-band (TCP urgent) breaks used for cancellation; falls back to in-band markers.
adbc.oracle.nne	accepted	Native Network Encryption / data integrity: accepted, requested, required, rejected.
adbc.oracle.nne_checksum	(=nne)	Data-integrity level, if different from nne.
adbc.oracle.nne_encryption_algorithms	(all AES)	Comma-separated encryption preference, e.g. AES256,AES192.
adbc.oracle.nne_checksum_algorithms	(all)	Comma-separated checksum preference, e.g. SHA512,SHA256.
adbc.oracle.use_extension_types	false	Annotate JSON / object (arrow.json), XMLType (arrow.opaque) and SDO_GEOMETRY (geoarrow.wkb) columns with Arrow extension-type metadata.
adbc.oracle.session_time_zone	+00:00	Session TIME_ZONE; TIMESTAMP WITH LOCAL TIME ZONE values are returned in it.
adbc.oracle.sdu	(server)	Requested session data unit (packet size) in bytes.
adbc.oracle.application_name	(executable name)	Program name reported to the server (V$SESSION.PROGRAM, CLIENT_PROGRAM_NAME).
adbc.oracle.current_schema	(none)	Sets the session's current schema after connecting.
adbc.oracle.trace	false	true → hex-dump TNS packets to stderr.

All of these are also accepted as ?key=value URI query parameters (without the adbc.oracle. prefix, e.g. ?tls=true&number_mode=decimal). After connecting, adbc.oracle.batch_size, adbc.oracle.batch_bytes, adbc.oracle.prefetch_rows, adbc.oracle.number_mode, adbc.oracle.interval_mode, adbc.oracle.date_mode and the end-to-end tracing attributes adbc.oracle.module / .action / .client_info / .client_identifier can be changed per connection.

The URI is its own kwarg; everything else goes through db_kwargs:

import adbc_driver_oracle.dbapi as oracle

oracle.connect(
    uri="oracle://db.example.com:2484/PROD",
    db_kwargs={
        "username": "app",
        "password": "s3cret",
        "adbc.oracle.tls": "true",
        "adbc.oracle.tls.ca_cert": "/etc/ssl/certs/corp-ca.pem",
    },
)

Connection profiles & driver manifests

ADBC connection profiles (adbc-driver-manager ≥ 1.11) let you keep a connection's driver + options in a reusable TOML file instead of code. Profiles resolve the driver by name, which requires a driver manifest on the search path. Install ours once per environment:

$ python -m adbc_driver_oracle install-manifest
Wrote ADBC driver manifest: .../etc/adbc/drivers/oracle.toml

(Inside a virtualenv/conda env this targets the environment's auto-searched etc/adbc/drivers/; otherwise the per-user ADBC config directory. --user, --venv, and --dir PATH override; the same is available programmatically as adbc_driver_oracle.install_manifest().)

With the manifest in place, the driver manager finds the driver by name — no import of adbc_driver_oracle needed:

from adbc_driver_manager import dbapi

# Resolve by URI scheme alone:
conn = dbapi.connect(uri="oracle://scott:tiger@localhost:1521/FREEPDB1")

And a profile bundles the whole connection. Drop this in ~/.config/adbc/profiles/oracle_prod.toml (Linux; ~/Library/Application Support/ADBC/Profiles/ on macOS, or any directory named in ADBC_PROFILE_PATH):

profile_version = 1
driver = "oracle"

[Options]
uri = "oracle://db.example.com:2484/PROD"
username = "app"
password = "{{ env_var(ORACLE_PASSWORD) }}"
"adbc.oracle.tls" = true

then connect from any ADBC driver-manager binding:

conn = dbapi.connect(profile="oracle_prod")

The {{ env_var(...) }} substitution keeps secrets out of the file; options set explicitly in code still override profile values.

Using from Go

import (
    "context"

    "github.com/apache/arrow-go/v18/arrow/memory"
    "github.com/gizmodata/adbc-driver-oracle/driver/oracle"
)

drv := oracle.NewDriver(memory.DefaultAllocator)
db, _ := drv.NewDatabase(map[string]string{
    "uri": "oracle://scott:tiger@localhost:1521/FREEPDB1",
})
conn, _ := db.Open(context.Background())
stmt, _ := conn.NewStatement()
_ = stmt.SetSqlQuery("SELECT ename, sal FROM emp")
reader, _, _ := stmt.ExecuteQuery(context.Background())
defer reader.Release()
for reader.Next() {
    rec := reader.Record()
    // ...
}

Type mapping

Reads (adbc.oracle.number_mode=auto, the default):

Oracle type	Arrow type
NUMBER(p,0) with 1 ≤ p ≤ 18	int64
NUMBER(p,s) with 1 ≤ p ≤ 38	decimal128(p,s)
NUMBER (no precision), FLOAT, computed expressions (COUNT(*), 1/3, literals)	float64
BINARY_FLOAT / BINARY_DOUBLE	float32 / float64
CHAR, VARCHAR2, NCHAR, NVARCHAR2, LONG, CLOB, NCLOB	utf8
RAW, LONG RAW, BLOB	binary
DATE	timestamp[s] (date32 with date_mode=date32)
TIMESTAMP(n)	timestamp[s / ms / us / ns] by fractional-second precision n
TIMESTAMP WITH TIME ZONE / WITH LOCAL TIME ZONE	timestamp[…, tz=UTC] (the instant; the original offset is not kept)
INTERVAL DAY TO SECOND	month_day_nano_interval; duration[unit by precision] with interval_mode=duration; ISO-8601 utf8 (P1DT2H3M4.5S) with interval_mode=string
INTERVAL YEAR TO MONTH	month_day_nano_interval; ISO-8601 utf8 (P2Y3M) with interval_mode=string
ROWID / UROWID	utf8
JSON (21c+)	utf8 — native OSON decoded to JSON text client-side
BOOLEAN (23ai)	bool
Object types, VARRAY, nested table	utf8 JSON text (arrow.json extension with use_extension_types)
XMLTYPE	utf8 XML text (arrow.opaque extension)
MDSYS.SDO_GEOMETRY	binary WKB (geoarrow.wkb extension)

number_mode=decimal maps every NUMBER to decimal128 ((38,10) when the precision is unknown), double maps all of them to float64, and string returns the exact decimal text — useful when precision matters and a column's declared scale can't be trusted.

Writes (bind parameters and bulk-ingest DDL):

Arrow type	Bind type	Generated DDL
int8/16/32/64, uint*	NUMBER	NUMBER(3/5/10/19/20)
float16 / float32 / float64	BINARY_FLOAT / BINARY_FLOAT / BINARY_DOUBLE	same
decimal128/256(p,s)	NUMBER	NUMBER(p,s)
utf8, large_utf8, utf8_view	VARCHAR2 (LONG above the server max)	VARCHAR2(4000) (CLOB for large_utf8; see ingest options)
binary, fixed_size_binary, large_binary	RAW (LONG RAW above the max)	RAW(2000) / RAW(n) / BLOB
bool	BOOLEAN on 23ai, else NUMBER 0/1	BOOLEAN / NUMBER(1)
date32 / date64	DATE	DATE
timestamp[unit] (naive)	TIMESTAMP	TIMESTAMP(0/3/6/9)
timestamp[unit, tz]	TIMESTAMP WITH TIME ZONE (as UTC)	TIMESTAMP(n) WITH TIME ZONE
duration, month_day_nano_interval (no months)	INTERVAL DAY TO SECOND	INTERVAL DAY(9) TO SECOND(9)
list, struct, map	VARCHAR2 / LONG (JSON text)	JSON (21c+) — see ingest.struct_type

Empty strings are bound as NULL, matching Oracle's own '' semantics.

Limitations

• Kerberos / RADIUS network authentication is not supported (use password, TLS, wallet or token auth). Native Network Encryption is supported (see above).
• REF CURSOR bind/column values, BFILE, LOB-typed OUT binds, VECTOR, Advanced Queuing, objects stored in LOBs (degenerate images) and SDO_GEOMETRY circular arcs / compound elements are not supported yet (select VECTOR_SERIALIZE(...), SDO_UTIL.TO_WKBGEOMETRY(...) etc. to read those as text/binary). Object types are read-only: they cannot be bound as parameters or written by ingest.
• Strings inside object images are decoded as UTF-8 (AL32UTF8 databases; national-character attributes as UTF-16).
• Named time-zone regions in TIMESTAMP WITH TIME ZONE values are returned as UTC instants (offset-based zones are exact).
• Kerberos / RADIUS / external OS authentication, DRCP pooling and Oracle wallet private keys with a password are not supported.
• Cancellation is only honoured by the server at SQL execution checkpoints; a call blocked in e.g. DBMS_SESSION.SLEEP finishes before ORA-01013 is raised (python-oracledb behaves the same).

Repo layout

adbc-driver-oracle/
├── go.mod, go.sum
├── internal/
│   ├── tns/         — TNS packets (CONNECT/ACCEPT/REDIRECT/DATA/MARKER), TLS, SDU, Native Network Encryption (ANO)
│   ├── ttc/         — TTC message layer: protocol/data-type negotiation, O5LOGON auth, cursors, fetch
│   └── oratype/     — NUMBER / DATE / TIMESTAMP / INTERVAL / ROWID / OSON (JSON) codecs
├── driver/oracle/   — pure-Go ADBC Driver/Database/Connection/Statement impl
├── pkg/oracle/      — cgo c-shared wrapper (produces libadbc_driver_oracle.{so,dylib,dll})
├── python/          — Python wheel sources (adbc_driver_oracle)
└── .github/         — CI: go test, python tests (Oracle Free + GizmoSQL services), wheel matrix, PyPI publish

Credits

• Protocol reference: oracle/python-oracledb thin mode (Apache-2.0 / UPL) and sijms/go-ora (MIT)
• ADBC framework: Apache Arrow ADBC (Apache-2.0)

License

MIT. Protocol reference credits are listed above.