PostgreSQL Identity Columns
An identity column can generate a value for a new row. It does not automatically define a primary key or promise a gap-free sequence.
How it works
The inspection queue uses a generated-always identity column plus an explicit primary key. Two inserts omit the generated value, allowing PostgreSQL to allocate it. In this freshly created private table the resulting IDs begin at one. Real sequences can advance across rolled-back attempts and concurrent sessions, so an application should not infer a business count from the largest ID.
Run in a separate PostgreSQL lab
Use PostgreSQL 18; the reviewed server and client tools are 18.6. PostgreSQL is separate from XAMPP MySQL/MariaDB and Bhylu’s SQLite playground. No PostgreSQL browser runner is available. These lessons do not change PHP, Apache or your normal database services.
- On your own private learning instance, have its administrator create an empty bhylu_pg_lab database. This administrative step runs outside a transaction. Stop if the database already exists; do not replace it.
- Connect explicitly to that database with its lab host, port and role. Save this download as identity.sql. With the matching client run
psql -X -h 127.0.0.1 -p YOUR_LAB_PORT -U YOUR_LAB_ROLE -d bhylu_pg_lab -v ON_ERROR_STOP=1 -f identity.sql. Replace the two uppercase placeholders; never paste a password into the lesson or a committed command. - The complete SQL checks the database name, creates a fresh bhylu_lesson schema, sets UTC, ISO dates and bounded timeouts, and seeds all four tables. It refuses an existing schema instead of overwriting it. It then runs the lesson and rolls everything back. In pgAdmin, run the complete SQL through Query Tool; if a statement fails, issue ROLLBACK before retrying.
Download the complete identity.sql script. Each script is independent; do not import one lesson’s seed into another lesson’s transaction. Cost values are exact numeric fixtures; measurement totals are not claims about real water usage.
Example
-- Bhylu PostgreSQL 18.6 lab: Identity Columns
-- Use only your separate disposable database named bhylu_pg_lab.
-- Each example creates a fresh schema inside a transaction, then rolls back.
BEGIN ISOLATION LEVEL READ COMMITTED;
DO $$ BEGIN
IF current_database() <> 'bhylu_pg_lab' THEN
RAISE EXCEPTION 'Choose the disposable bhylu_pg_lab database';
END IF;
END $$;
CREATE SCHEMA bhylu_lesson;
SET LOCAL search_path = bhylu_lesson, pg_catalog;
SET LOCAL timezone = 'UTC';
SET LOCAL datestyle = 'ISO, YMD';
SET LOCAL statement_timeout = '10s';
SET LOCAL lock_timeout = '2s';
CREATE TABLE tanks (
id integer PRIMARY KEY,
label text NOT NULL UNIQUE,
capacity_l integer NOT NULL CHECK (capacity_l > 0),
zone text
);
CREATE TABLE readings (
id integer PRIMARY KEY,
tank_id integer NOT NULL REFERENCES tanks(id),
measured_at timestamptz NOT NULL,
litres integer NOT NULL CHECK (litres >= 0)
);
CREATE TABLE technicians (id integer PRIMARY KEY, name text NOT NULL);
CREATE TABLE inspections (
id integer PRIMARY KEY,
tank_id integer NOT NULL REFERENCES tanks(id),
technician_id integer REFERENCES technicians(id),
status text NOT NULL CHECK (status IN ('planned','pending','done')),
cost numeric(8,2) CHECK (cost >= 0)
);
INSERT INTO tanks VALUES
(1,'North roof',1000,'North'),
(2,'Library',600,'Central'),
(3,'Workshop',800,'North'),
(4,'Garden',400,NULL);
INSERT INTO readings VALUES
(1,1,'2026-01-10 06:00:00+00',300),
(2,1,'2026-01-11 06:00:00+00',450),
(3,2,'2026-01-10 06:00:00+00',200),
(4,3,'2026-01-10 06:00:00+00',0),
(5,2,'2026-01-11 06:00:00+00',350);
INSERT INTO technicians VALUES (1,'Mira'),(2,'Dev'),(3,'Noor');
INSERT INTO inspections VALUES
(11,1,1,'done',12.50),
(12,2,2,'pending',NULL),
(13,3,1,'done',20.00),
(14,1,NULL,'planned',0.00);
-- Lesson commands begin here.
CREATE TABLE queue_entries (
id bigint GENERATED ALWAYS AS IDENTITY PRIMARY KEY,
note text NOT NULL
);
INSERT INTO queue_entries(note) VALUES ('Check inlet'),('Check outlet');
SELECT id,note FROM queue_entries ORDER BY id;
-- No changes from this lesson are kept.
ROLLBACK;
Focus on the lesson query
This excerpt omits the guarded transaction, schema and dataset. Use the complete download to run it.
CREATE TABLE queue_entries (
id bigint GENERATED ALWAYS AS IDENTITY PRIMARY KEY,
note text NOT NULL
);
INSERT INTO queue_entries(note) VALUES ('Check inlet'),('Check outlet');
SELECT id,note FROM queue_entries ORDER BY id;
Expected result
1|Check inlet 2|Check outlet
Expected rows use a pipe between columns and <NULL> for a missing value. A normal client may display headings, spacing and NULL differently. Use the script’s explicit ORDER BY when comparing results.
Identity handles value generation while the primary key enforces uniqueness and non-null identity. Use RETURNING when the application needs the generated key from its own insert, rather than racing to read a global maximum.