assisted-analyzerSensitive values are removed before analysis

SQL Error Explainer

Explain common SQL errors and turn the message into the next database checks.

A short guide to SQL Error Explainer

Turn a noisy failure into a shorter investigation.

Explain common SQL errors and turn the message into the next database checks. Here is the practical way to prepare the input, read the output, and decide what to check next.

01

When to reach for it

Redacts sensitive text, then matches the supplied message against a small deterministic set of SQL error signatures. It is most useful when you are dealing with deadlock or constraint violation. Start with the smallest example that still shows the behavior.

  • Look for deadlock, constraint violation, connection refused.
  • Reduce the example until one observation can change the result.

02

How to prepare the input

Paste a focused example in SQL error text and optional query. Leave out unrelated noise so the result stays easy to verify.

  • Use the accepted format: SQL error text and optional query.
  • Keep the facts that make the behavior reproducible.
  • Do not treat missing context as a reason to invent an answer.

Example input

Safe sample

ERROR: deadlock detected
DETAIL: Process 42 waits for ShareLock on transaction 7; blocked by process 43.

Run this first to see the shape of the result. Then change one meaningful fact and confirm that the output changes with it.

03

How to read the result

Returns the matched local heuristic and its next database checks. Read the finding beside the evidence that produced it. The result narrows the next check; it does not claim to have changed your system.

  • Separate the observed fact from the suggested next check.
  • Prefer the smallest reversible experiment that can confirm or reject the finding.
  • Save the output when it belongs in an incident note, review, or handoff.

04

Know the boundary

The analysis is redacted and bounded by the supplied evidence; it is not a security decision or a replacement for verification.

Use the tool

Run it against the evidence.

Paste a focused example below. The result is derived from your input and stays within the privacy boundary shown above.

Sensitive values are removed before analysis. Raw input is not sent to analytics.

At a glance

Accepts SQL error text and optional query. Sensitive values are removed before analysis. The result is evidence from your input, not a change to your systems.