feat: Add support for pgvector's vector data type

docker-compose.yml

@@ -3,7 +3,7 @@
 version: "2.1"
 services:
   postgres:
-    image: docker.io/postgres:latest
+    image: ankane/pgvector:latest
     command: postgres -c ssl=on -c ssl_cert_file=/var/lib/postgresql/server.crt -c ssl_key_file=/var/lib/postgresql/server.key -c ssl_ca_file=/var/lib/postgresql/ca.crt -c hba_file=/var/lib/postgresql/pg_hba.conf
     environment:
       POSTGRES_USER: postgres
@@ -13,16 +13,19 @@ services:
       POSTGRES_INITDB_ARGS: --auth-host=cert
     # Not placed in the data directory (/var/lib/postgresql/data) because of https://gist.github.com/mrw34/c97bb03ea1054afb551886ffc8b63c3b?permalink_comment_id=2678568#gistcomment-2678568
     volumes:
+      - ./target_postgres/tests/init.sql:/docker-entrypoint-initdb.d/init.sql
       - ./ssl/server.crt:/var/lib/postgresql/server.crt # Certificate verifying the server's identity to the client.
       - ./ssl/server.key:/var/lib/postgresql/server.key # Private key to verify the server's certificate is legitimate.
       - ./ssl/ca.crt:/var/lib/postgresql/ca.crt # Certificate authority to use when verifying the client's identity to the server.
       - ./ssl/pg_hba.conf:/var/lib/postgresql/pg_hba.conf # Configuration file to allow connection over SSL.
     ports:
       - "5432:5432"
   postgres_no_ssl: # Borrowed from https://github.com/MeltanoLabs/tap-postgres/blob/main/.github/workflows/test.yml#L13-L23
-    image: docker.io/postgres:latest
+    image: ankane/pgvector:latest
     environment:
       POSTGRES_PASSWORD: postgres
+    volumes:
+      - ./target_postgres/tests/init.sql:/docker-entrypoint-initdb.d/init.sql
     ports:
       - 5433:5432
   ssh:
@@ -37,17 +40,20 @@ services:
       - PASSWORD_ACCESS=false
       - USER_NAME=melty
     volumes:
+      - ./target_postgres/tests/init.sql:/docker-entrypoint-initdb.d/init.sql
       - ./ssh_tunnel/ssh-server-config:/config/ssh_host_keys:ro
     ports:
       - "127.0.0.1:2223:2222"
     networks:
       - inner
   postgresdb:
-    image: postgres:13.0
+    image: ankane/pgvector:latest
     environment:
       POSTGRES_USER: postgres
       POSTGRES_PASSWORD: postgres
       POSTGRES_DB: main
+    volumes:
+      - ./target_postgres/tests/init.sql:/docker-entrypoint-initdb.d/init.sql
     networks:
       inner:
         ipv4_address: 10.5.0.5

pyproject.toml

@@ -33,6 +33,7 @@ packages = [
 python = "<3.12,>=3.8.1"
 requests = "^2.25.1"
 singer-sdk = ">=0.28,<0.34"
+pgvector = { version="^0.2.4", optional = true }
 psycopg2-binary = "2.9.9"
 sqlalchemy = ">=2.0,<3.0"
 sshtunnel = "0.4.0"
@@ -50,6 +51,9 @@ types-simplejson = "^3.19.0.2"
 types-sqlalchemy = "^1.4.53.38"
 types-jsonschema = "^4.19.0.3"
 
+[tool.poetry.extras]
+pgvector = ["pgvector"]
+
 [tool.mypy]
 exclude = "tests"
 

target_postgres/connector.py

@@ -277,6 +277,19 @@ def pick_individual_type(jsonschema_type: dict):
         if "object" in jsonschema_type["type"]:
             return JSONB()
         if "array" in jsonschema_type["type"]:
+            # FIXME: This currently uses a non-conformant
+            #        definition for the Singer SCHEMA. Example:
+            #        {"type": "array",
+            #         "items": {"type": "number"},
+            #         "storage": {"type": "vector", "dim": 4}}
+            if (
+                "storage" in jsonschema_type
+                and "type" in jsonschema_type["storage"]
+                and jsonschema_type["storage"]["type"] == "vector"
+            ):
+                from pgvector.sqlalchemy import Vector
+
+                return Vector(jsonschema_type["storage"]["dim"])
             return ARRAY(JSONB())
         if jsonschema_type.get("format") == "date-time":
             return TIMESTAMP()
@@ -310,6 +323,13 @@ def pick_best_sql_type(sql_type_array: list):
             NOTYPE,
         ]
 
+        try:
+            from pgvector.sqlalchemy import Vector
+
+            precedence_order.append(Vector)
+        except ImportError:
+            pass
+
         for sql_type in precedence_order:
             for obj in sql_type_array:
                 if isinstance(obj, sql_type):

target_postgres/tests/data_files/array_float_vector.singer

@@ -0,0 +1,5 @@
+{"type": "SCHEMA", "stream": "array_float_vector", "key_properties": ["id"], "schema": {"required": ["id"], "type": "object", "properties": {"id": {"type": "integer"}, "value": {"type": "array", "items": {"type": "number"}, "storage": {"type": "vector", "dim": 4}}}}}
+{"type": "RECORD", "stream": "array_float_vector", "record": {"id": 1, "value": [ 1.1, 2.1, 1.1, 1.3 ]}}
+{"type": "RECORD", "stream": "array_float_vector", "record": {"id": 2, "value": [ 1.0, 1.0, 1.0, 2.3 ]}}
+{"type": "RECORD", "stream": "array_float_vector", "record": {"id": 3, "value": [ 2.0, 1.2, 1.0, 0.9 ]}}
+{"type": "STATE", "value": {"array_float_vector": 3}}

target_postgres/tests/init.sql

@@ -0,0 +1 @@
+CREATE EXTENSION IF NOT EXISTS vector;

target_postgres/tests/test_target_postgres.py

@@ -458,6 +458,25 @@ def test_array_boolean(postgres_target):
     )
 
 
+def test_array_float_vector(postgres_target):
+    pgvector_sa = pytest.importorskip("pgvector.sqlalchemy")
+    file_name = "array_float_vector.singer"
+    singer_file_to_target(file_name, postgres_target)
+    row = {
+        "id": 1,
+        "value": "[1.1,2.1,1.1,1.3]",
+    }
+    verify_data(postgres_target, "array_float_vector", 3, "id", row)
+    verify_schema(
+        postgres_target,
+        "array_float_vector",
+        check_columns={
+            "id": {"type": BIGINT},
+            "value": {"type": pgvector_sa.Vector},
+        },
+    )
+
+
 def test_array_number(postgres_target):
     file_name = "array_number.singer"
     singer_file_to_target(file_name, postgres_target)