How to Fix PostgreSQL 'Syntax Error at or Near FROM' in Complex CTEs

Threat/Impact Level: HIGH | Downtime Risk: HIGH | Time to Fix: 5–15 mins

TL;DR

• What broke: PostgreSQL cannot parse your CTE chain — a missing comma, omitted SELECT, or misplaced RECURSIVE keyword causes the parser to hit FROM with no valid preceding token.
• How to fix it: Audit every WITH block boundary for a trailing comma, confirm each CTE body opens with SELECT, and verify RECURSIVE appears only once directly after WITH.
• Fast path: Use our Client-Side Sandbox above to auto-refactor this — paste your query and get corrected SQL without sending your schema to a third-party server.

The Incident (What Does the Error Mean?)

Raw error output from psql or your application log:

ERROR:  syntax error at or near "FROM"
LINE 14:   FROM orders o
           ^

PostgreSQL's parser is a strict top-down parser. When it reaches FROM and cannot associate it with a valid SELECT projection list, it hard-stops. The entire transaction is aborted. No partial results. No fallback. Any application relying on this query — reporting pipeline, API endpoint, background job — gets a 500 or a dead queue worker.

The Attack Vector / Blast Radius

This is a deployment-time or migration-time bomb. The three most common triggers in production:

1. Missing comma between CTE definitions. A developer adds a new CTE block at 2 AM during a hotfix. The comma separating it from the previous block is omitted. The query ran fine in a local Postgres 13 dev container (it didn't — you just didn't test it), blows up in prod on the first execution.

2. Subquery aliasing without a wrapping SELECT. A CTE body that starts directly with FROM instead of SELECT ... FROM — common when copy-pasting subquery fragments.

3. Misplaced RECURSIVE keyword. Writing WITH CTE1 AS (...), RECURSIVE CTE2 AS (...) is illegal. RECURSIVE is a modifier on the entire WITH clause, not on individual members.

Blast radius: Any ORM, BI tool (Metabase, Looker), or microservice that executes this query is dead until the fix is deployed. If this query lives inside a stored function called by a trigger, you've just broken writes to that table.

How to Fix It (The Solution)

Root Cause 1: Missing Comma Between CTE Blocks

WITH
  regional_sales AS (
    SELECT region, SUM(amount) AS total
    FROM orders
    GROUP BY region
  )
- top_regions AS (
+ , top_regions AS (
    SELECT region
    FROM regional_sales
    WHERE total > (SELECT SUM(total)/10 FROM regional_sales)
  )
SELECT *
FROM top_regions;

Root Cause 2: CTE Body Missing SELECT Before FROM

WITH
  order_summary AS (
-   FROM orders
-   WHERE status = 'complete'
+   SELECT order_id, customer_id, amount
+   FROM orders
+   WHERE status = 'complete'
  )
SELECT * FROM order_summary;

Root Cause 3: RECURSIVE Misplaced on Individual CTE

WITH
  base AS (
    SELECT id, parent_id, name FROM categories WHERE parent_id IS NULL
  ),
- RECURSIVE tree AS (
+ tree AS (
    SELECT c.id, c.parent_id, c.name
    FROM categories c
    INNER JOIN base b ON c.parent_id = b.id
  )
SELECT * FROM tree;

Correct form:

- WITH base AS (...), RECURSIVE tree AS (...)
+ WITH RECURSIVE base AS (...), tree AS (...)

Enterprise Best Practice

• Lint queries at CI time using pgsanity or pg_query (Ruby/Go/Python bindings to the actual PostgreSQL parser). This catches syntax errors before they reach a migration runner.
• Decompose mega-CTEs. If your WITH block has more than 5 members, refactor into temporary tables or materialized views with explicit CREATE TEMP TABLE statements. Easier to debug, easier to EXPLAIN ANALYZE individually.
• Use named migration files with pre-flight EXPLAIN checks — wrap every new complex query in a DO $$ BEGIN EXPLAIN ... block inside your migration to validate parse before execution.

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Prevention in CI/CD

Gate this at the pipeline level. Do not rely on human review alone.

1. Static SQL linting with pgsanity:

# .github/workflows/sql-lint.yml
- name: Lint SQL migrations
  run: |
    pip install pgsanity
    find ./migrations -name '*.sql' | xargs pgsanity

2. Parse-level validation using pg_query (Python):

import pg_query

with open('query.sql') as f:
    sql = f.read()

try:
    pg_query.parse(sql)
except pg_query.ParseError as e:
    print(f"PARSE FAILURE: {e}")
    exit(1)

This uses the actual PostgreSQL parser compiled to WebAssembly/C — not a regex heuristic. It will catch this exact error class before your migration runner ever touches the database.

3. Checkov / SQLFluff for policy enforcement:

sqlfluff lint migrations/ --dialect postgres

SQLFluff rule L045 flags CTEs with structural issues. Add it to your pre-commit hooks:

# .pre-commit-config.yaml
- repo: https://github.com/sqlfluff/sqlfluff
  rev: 2.3.5
  hooks:
    - id: sqlfluff-lint
      args: [--dialect, postgres]

Bottom line: A syntax error this mechanical should never reach a code review, let alone production. Automate the parser check. It takes 10 minutes to set up and eliminates the entire error class.