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SQL pastebin for queries, schemas, and plans

Queries, schemas, and query plans. Pastebin.ai preserves the submitted source, adds a line-numbered reading view, and lets you choose retention and access before sharing.

SQL sharing decisions at a glance

Check the source, runtime context, and privacy risks that matter when you share SQL text.

Best use

Share one scoped SQL artifact: Query reviews.

Context to include

Name the source: Common inputs include .sql, DDL fragments, fixtures, and execution plans. State the tool or runtime that reads them.

Details to remove

Review before upload: Inspect each SQL value, comment, path, and identifier; the checklist below names the format-specific risks.

What to include in a reviewable SQL paste

Common inputs include .sql, DDL fragments, fixtures, and execution plans. Limit the artifact to the lines and context a recipient needs to understand its purpose.

01

Query reviews

Keep the SQL example limited to this review goal and its required inputs.

02

Minimal schema reproductions

For SQL review, Name the producing tool or runtime, preserve exact source text, and include only the context another person needs to understand the artifact.

03

Sanitized execution plans

Use representative placeholders so this SQL example preserves structure without exposing live values.

A small SQL paste example

The SQL sample below uses a small, representative form of .sql, DDL fragments, fixtures, and execution plans. Replace live values with clear placeholders while keeping the structure another reader needs.

SELECT status, COUNT(*) AS total
FROM example_jobs
WHERE created_at >= CURRENT_DATE
GROUP BY status
ORDER BY total DESC;

Add the context a reviewer needs

Name the database engine and version, relevant schema, representative row counts, expected result, and observed behavior. Dialects differ in quoting, functions, types, and planner output.

  • Name the tool or runtime that consumes this SQL text.
  • Show the command and the expected versus actual SQL result.
  • Keep only the smallest SQL artifact that preserves the issue.

Review the paste before it leaves

Replace production rows with synthetic fixtures and review connection strings, table names, tenant identifiers, emails, explain-plan infrastructure details, and comments.

  • Start a SQL review with unlisted visibility.
  • Match expiry to the window for query reviews.
  • Encrypt this SQL paste when readable server storage is outside the trust boundary.

Next SQL step: Share SQL queries adds this context: Add dialect, schema, fixtures, and expected behavior for review.

SQL paste questions

Short answers about SQL formatting, runtime context, and safer sharing.

Which SQL dialect should I choose?+

The display mode is general SQL, so state PostgreSQL, MySQL, SQLite, SQL Server, or another engine and its version in the paste context.

Should I include production data?+

No. Use synthetic rows that preserve relevant types, nulls, cardinality, and boundary cases.