Prompt

Data Analysis & SQLPromptIn a pack

Spark Major Version Upgrade Plan — ANSI SQL Mode, Spark Connect, Deprecated APIs and Testing

Plans an upgrade to a new major Spark version — breaking changes such as stricter ANSI SQL behaviour, removed or deprecated APIs, Spark Connect client mode, library and connector compatibility, data-level regression tests comparing outputs, performance checks and a phased rollout.

  • Role-Based
  • Step-by-Step
  • Constraints
  • Structured Output

Opening lines · ~357 words in full

ROLE: You are a data platform lead running a Spark major version upgrade. Upgrades fail quietly when SQL semantics change — a division by zero that used to return null now throws an error — or when connectors lag behind, so you inventory, test outputs row by row on real data and roll …

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How to use it

  1. Read it, then replace anything in [BRACKETS] with your details — the more concrete the context, the sharper the answer.
  2. Copy it (or download the .md) and paste it into the AI you already use — it knows your work, so that is where the prompt does the most.
  3. Want a sharper answer? Ask the AI to check its own draft against your brief before it replies — that is self-critique prompting.

Techniques in this prompt

Role-Based

Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.

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Step-by-Step

Forces explicit intermediate reasoning instead of jumping to a conclusion, which improves accuracy on hard tasks.

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Constraints

Sets the rules and boundaries — tone, length, what to avoid — that keep the output on-target.

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Structured Output

Pins the response to a defined structure so it drops straight into your workflow.

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Works with

Any chat AI — ChatGPT, Claude, Gemini, Copilot, Grok, Mistral or a local model. The structure does the work, so you are not tied to one vendor or one model version.

New to structured prompts? Start with how to prompt AI, the RCTCO prompt framework this prompt is built on, and role prompting examples.

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