SQLAlchemy Migration Guides

How to wrap raw SQL strings in text() for SQLAlchemy 2.0

Raw SQL strings now need explicit text() wrapping in SQLAlchemy 2.0 execute calls.

Start here

The safe first move

Wrap any raw SQL string passed to execute() in text() from sqlalchemy.

Stop before automation when: Dynamic SQL construction that mixes strings and expressions. Helpers that reshape SQL arguments before execution.

Target shape

from sqlalchemy import text

result = conn.execute(text("SELECT * FROM users WHERE id = :id"), {"id": 1})

Repo fit check

Want to know if your repo has this pattern?

Run the matching scanner locally first. Read the free findings and manual alternatives; consider paid cleanup only if supported patterns repeat enough to justify the price.

  • Local scan; no repository upload.
  • Supported findings are separated from manual-review findings.
  • Buy only when the repeated pattern is worth automating.
Run the SQLAlchemy scan first View example report See when to buy
Example scan summary
supported_findings: 38
manual_review_findings: 6
files_uploaded: 0
confidence: reviewable

Why this page exists

How to wrap raw SQL strings in text() for SQLAlchemy 2.0

SQLAlchemy 2.0 no longer auto-coerces string SQL. Use text() explicitly.

Direct answer

What changes

Wrap any raw SQL string passed to execute() in text() from sqlalchemy.

Example

Before and after

Before

result = conn.execute("SELECT * FROM users WHERE id = :id", {"id": 1})

After

from sqlalchemy import text

result = conn.execute(text("SELECT * FROM users WHERE id = :id"), {"id": 1})

Decision path

If this repeats across the repo, open the evaluation pages next.

Start with the free scan, inspect the report, and only move to the cleanup pack if the repo has repeated supported patterns that are still expensive to fix by hand.

  • The free scan shows repeated Query.get, select([..]), string join, string loader, declarative import, or DML constructor findings.
  • The remaining supported cleanup is still expensive enough to justify a controlled local migration workflow.
  • If the scan output is ambiguous, review its findings and upstream guidance. Do not buy expecting unsupported cases to be resolved.

Typical symptoms

  • ArgumentError about expected executable but got string.
  • Old helpers pass raw SQL to execute() calls.
  • Teams want the easy text() wrapping handled automatically.

What the product covers

  • Detection of raw string SQL passed to execute().
  • text() import injection and wrapping.
  • Report entries for where raw SQL still appears.

Manual-review boundary

  • Dynamic SQL construction that mixes strings and expressions.
  • Helpers that reshape SQL arguments before execution.
  • Files bundled with engine.execute() removal.

FAQ

Fast answers before you decide

What is the safest fix for text() raw sql sqlalchemy 2.0?

Wrap any raw SQL string passed to execute() in text() from sqlalchemy.

Can text() raw sql sqlalchemy 2.0 be automated?

Automate only the supported subset: Detection of raw string SQL passed to execute(). text() import injection and wrapping. Report entries for where raw SQL still appears. Keep these cases in manual review: Dynamic SQL construction that mixes strings and expressions. Helpers that reshape SQL arguments before execution. Files bundled with engine.execute() removal.

When should I buy SQLAlchemy 1.4 to 2.0 Migration Cleanup Pack?

Use SQLAlchemy 1.4 to 2.0 Migration Cleanup Pack only when this pattern repeats across enough files that manual cleanup is still costly. Use the free report and upstream guide to evaluate fit. Buy only if repeated supported edits justify the price; no paid assessment is required.

Purchase fit

Choose the lowest-risk next step.

One matching page is not enough by itself. Run the local scan, then buy only when the same supported pattern appears often enough to matter.

Buy if

  • The free scan shows repeated Query.get, select([..]), string join, string loader, declarative import, or DML constructor findings.
  • The remaining supported cleanup is still expensive enough to justify a controlled local migration workflow.
  • The team can run the migration on a branch and validate locally before merge.

What the workflow includes

  • Installable local CLI workflow, not a hosted black box.
  • Preview/apply modes, diff output, and JSON migration report.
  • Coverage notes, rollback checklist, manager summary, and buyer terms.

Before checkout

  • Stripe Checkout handles secure payment and receipts.
  • Download your purchased ZIP after payment.
  • Runs locally; no hosted API, repo upload, or production credentials needed.
  • The free report includes the evidence needed to evaluate fit. Paid summary and template add-ons are optional.
  • 14-day refund review for published-scope or delivery mismatches.