Preview a PR Before Merging
rocky preview runs the models a PR’s diff actually changes against a per-PR branch, leaves everything else untouched (copied from the base ref), and produces a structural + sampled row-level diff and a cost delta vs. base. This guide walks you through running it locally on a feature branch.
For the design (how Rocky picks the prune set, why CTAS today and clones tomorrow, how the sampling window works), see the How Preview Works concept page. For the full output schemas, see the rocky preview CLI reference.
Preview surfaces the data and cost shape of a PR. For typed schema-level breaking-change detection on the same PR, pair preview with rocky ci-diff --semantic, and rely on the hard semantic gate that fires when the branch is promoted via rocky plan promote + rocky apply (or the legacy rocky branch promote alias). The full flow (PR-time detection → promote-time gate → audited override) is documented in the CI/CD integration guide.
Prerequisites
Section titled “Prerequisites”You’ll need:
- Rocky installed and on
$PATH(the Getting Started guide has install instructions). - A repo with a
rocky.tomland amodels/directory. - A git working tree on a feature branch with at least one model change vs. the base ref.
- The base schema’s tables already materialized:
preview createcopies them into the per-PR branch schema, so they need to exist. Runningrocky plan+rocky applyonce onmainis enough.
The walkthrough below uses --base main, but any git ref works.
Step 1: Create the preview branch
Section titled “Step 1: Create the preview branch”rocky preview create --base mainWhat this does:
- Runs
git diff --name-only main HEADagainst the models directory to find changed model files. - Scans the models directory into a DAG and computes the prune set: every changed model plus everything transitively downstream of it (via each model’s
depends_on). - Computes the copy set: every working-DAG model not in the prune set.
- Registers a branch in the state store (mirrors
rocky branch create). - Issues
CREATE TABLE <branch_schema>.<model> AS SELECT * FROM <base_schema>.<model>for each copy-set model.
preview create does not run the prune-set models itself — it emits run_status: "planned" with an empty run_id. Run rocky run --branch <name> (with a selector limited to the prune set) before preview diff / preview cost so there’s a branch run to compare against.
The output is a PreviewCreateOutput JSON document:
{ "version": "1.18.0", "command": "preview-create", "branch_name": "preview-fix-price", "branch_schema": "branch__preview-fix-price", "base_ref": "main", "head_ref": "HEAD", "prune_set": [ { "model_name": "fct_revenue", "reason": "changed", "changed_columns": [] }, { "model_name": "rev_by_region", "reason": "downstream_of_changed", "changed_columns": [] } ], "copy_set": [ { "model_name": "stg_orders", "source_schema": "main", "target_schema": "branch__preview-fix-price", "copy_strategy": "ctas" }, { "model_name": "stg_customers", "source_schema": "main", "target_schema": "branch__preview-fix-price", "copy_strategy": "ctas" } ], "skipped_set": [], "run_id": "", "run_status": "planned", "duration_ms": 4321}run_id comes back empty and run_status is "planned" because preview create only registers the branch and copies the base tables — it doesn’t run the prune-set models. preview diff and preview cost don’t key off this run_id; they pair the latest run tagged to the branch name against base over run history, so run rocky run --branch preview-fix-price before either.
Step 2: Diff the branch against base
Section titled “Step 2: Diff the branch against base”rocky preview diff --name preview-fix-price --output json | jq -r .markdownThis combines two layers into one report:
- Structural diff: a
structuralblock per model withadded_columns/removed_columns/type_changes. These arrays are placeholders today — theRunRecorddoesn’t persist column lists, so they’re always empty on the wire; typed schema-level detection lives inrocky ci-diff. - Row-level diff: per-model row delta surfaced through one of two algorithms (a discriminator on the JSON output picks which):
kind: "sampled"(default): a row-count / bytes delta computed off the twoRunRecords. It doesn’t read row content yet, so it always reportscoverage: "not_yet_sampled"andcoverage_warning: true, and--sample-sizeis currently ignored. Changes that don’t shift row counts won’t surface here.kind: "bisection": exhaustive checksum-bisection over a single-column integer / numericunique_key. Walks the chunk lattice, recurses into mismatched chunks, surfaces every row-level diff. See the How Preview Works page for the algorithm. Runs only on Merge-strategy models with a single integer PK; other models stay on sampled (logged viatracing::warnwith the skip reason).
The full PreviewDiffOutput shape (--output json) carries the rendered PR-comment-ready snippet in a top-level markdown field; pipe it through jq -r .markdown to print just that snippet to stdout. (There’s no --output markdown mode — the valid values are json, table, and md, and md only logs a one-line status; the Markdown lives in the JSON markdown field.)
Choosing the algorithm
Section titled “Choosing the algorithm”# Default — sampled (fast, may miss out-of-window changes)rocky preview diff --name preview-fix-price
# Exhaustive — checksum-bisection (covers the whole table)rocky preview diff --name preview-fix-price --algorithm bisection--algorithm is currently hidden from rocky preview diff --help, but it is accepted and stable.
Per-model output uses a tagged algorithm discriminator:
"models": [ { "model_name": "fct_revenue", "structural": { /* ... */ }, "algorithm": { "kind": "bisection", "diff": { "rows_added": 0, "rows_removed": 0, "rows_changed": 1, "samples": [...] }, "bisection_stats": { "chunks_examined": 64, "leaves_materialized": 1, "depth_max": 2, "depth_capped": false, "split_strategy": "int_range", "null_pk_rows_base": 0, "null_pk_rows_branch": 0 } } }]Direct JSON consumers should read model.algorithm.kind first, then unpack the matching variant. The Dagster typed-resource layer absorbs this automatically.
Step 3: Compare cost vs. base
Section titled “Step 3: Compare cost vs. base”rocky preview cost --name preview-fix-price --output json | jq -r .markdownThis is a diff layer over rocky cost latest. For each model in the prune set, Rocky looks up the latest base-schema RunRecord from the state store and the branch run’s RunRecord, then subtracts the per-model duration, bytes scanned, and USD cost.
The summary fields tell you:
delta_usd: total branch cost minus base cost. Positive means the PR will cost more to run onmainafter merge.total_branch_duration_msandtotal_branch_bytes_scanned: run-level totals used for budget projection (see below).savings_from_copy_usd: what the preview itself saved by copying instead of re-running. This is the empirical evidence that the prune-and-copy substrate is doing work.models_skipped_via_copy: count of models that didn’t run on the branch because they were copy-set.
Pre-merge budget projection
Section titled “Pre-merge budget projection”When the project declares a [budget] block in rocky.toml, preview cost projects breaches against the branch totals before merge so a reviewer (and the CI gate) sees this PR would breach max_usd / max_duration_ms / max_bytes_scanned if merged before the merge happens. Output field:
"projected_budget_breaches": [ { "limit_type": "max_usd", "limit": 2.5, "actual": 5.0 }, { "limit_type": "max_duration_ms", "limit": 60000, "actual": 90000 }]Empty when no budget is configured or the projected totals stay within every limit. Mirrors the RunOutput.budget_breaches shape so the same downstream consumers (PR-comment templates, JSON listeners) can process both with one code path.
The Markdown rendering surfaces a “Budget projection” section only when breaches exist; framing flips between advisory (“would breach”) and “would fail the run” based on [budget].on_breach.
What the prune set means
Section titled “What the prune set means”The prune set is the set of models that re-execute against the branch. Two reasons can put a model in the prune set:
reason: "changed": the model file itself changed in the diff. (changed_columnsis a placeholder that’s always empty on the wire today.)reason: "downstream_of_changed": the model didn’t change but sits transitively downstream of a changed model viadepends_on.
Models in neither bucket are either in the copy set (logically identical to base, so they get CTAS’d over) or the skipped set (reserved for removed-in-PR detection; always empty on the wire today). The skipped set is the empty-cost residue: nothing copies them, nothing runs them.
If the prune set is empty, your PR doesn’t change any model output (e.g. a whitespace-only edit). The branch run is a no-op and preview cost reports a zero delta.
What coverage_warning: true means
Section titled “What coverage_warning: true means”The default --algorithm sampled doesn’t read row content yet — it computes a row-count / bytes delta off the two RunRecords — so every model comes back flagged, with coverage: "not_yet_sampled" and coverage_warning: true:
"algorithm": { "kind": "sampled", "sampled": { /* ... */ }, "sampling_window": { "ordered_by": "", "limit": 0, "coverage": "not_yet_sampled", "coverage_warning": true }}The aggregate summary.any_coverage_warning widens to fire on either condition: a sampled diff with coverage_warning: true or a bisection diff with bisection_stats.depth_capped: true (the recursion bottomed out at the depth cap on a pathologically skewed PK distribution before reaching leaf size). Either signals the per-model findings might be incomplete.
When you see the warning on a sampled diff, your options are:
- Re-run with
--algorithm bisection: covers the whole table exhaustively. Works for any model with a single-column integer / numericunique_key. - Inspect the changed columns directly via
rocky compile --model <name>and reason about the change manually.
A clean sample with coverage_warning: true is not evidence the PR is no-op for that model.
Troubleshooting
Section titled “Troubleshooting”base ref not found. rocky preview create --base <ref> requires the ref to exist locally. Run git fetch origin <ref> first if you’re working against a remote-only ref like origin/main.
preview cost reports null deltas. Cost requires a prior RunRecord for each compared model on the base schema. If the base schema has never been run end-to-end, base_run_id is null and per-model delta_usd falls back to null. Run rocky plan + rocky apply once on main to populate the state store, then re-run preview cost.
preview cost reports null for the branch. The cost rollup uses the same adapter telemetry as rocky cost. DuckDB and unconfigured adapters report null USD by design; duration and bytes still surface. Configure [cost] in rocky.toml to get dollar amounts on Databricks / Snowflake.
Copy step is slow. The copy substrate dispatches per adapter via WarehouseAdapter::clone_table_for_branch. Databricks (SHALLOW CLONE), BigQuery (CREATE TABLE … COPY), and Snowflake (zero-copy CREATE TABLE … CLONE) all ship metadata-only overrides; the per-PR branch table is effectively zero-cost at create time. Only DuckDB falls through to the portable CTAS default, which physically copies bytes; on large tables this is the dominant cost of preview create.
The diff finds no changes but the model definitely changed. Check summary.any_coverage_warning in the JSON output. If it’s true, the sampling window missed the changed rows; see the section above.
Posting to a PR
Section titled “Posting to a PR”rocky preview ships a composite GitHub Action that runs all three commands on every push to a pull request and upserts a single Markdown comment with the prune/copy/skip plan, the structural diff, and the cost delta. The action lives at .github/actions/rocky-preview/ in the rocky-data repo and is drop-in for any repo with a rocky.toml and a models/ directory.
Setting up the GitHub Action
Section titled “Setting up the GitHub Action”Add the workflow below to .github/workflows/preview.yml in your own repo:
name: rocky-preview
on: pull_request: types: [opened, synchronize, reopened]
permissions: contents: read pull-requests: write
jobs: preview: runs-on: ubuntu-latest steps: - uses: actions/checkout@v6 with: fetch-depth: 0 # required for git diff against the base branch
- uses: rocky-data/rocky/.github/actions/rocky-preview@main with: base_ref: ${{ github.event.pull_request.base.ref }} branch_name: ${{ github.event.pull_request.head.ref }} github_token: ${{ github.token }} # working_directory: my-pipeline # if rocky.toml lives in a subdir # models_dir: models # default # rocky_version: latest # or 1.17.4 / engine-v1.17.4The first PR after wiring this in will install Rocky and post a comment with the plan, the diff, and the cost delta. Subsequent pushes update that same comment in place via the <!-- rocky-preview --> marker, with no PR-comment spam.
Action inputs
Section titled “Action inputs”| Input | Default | Description |
|---|---|---|
base_ref |
(required) | Git ref to compare against. Typically ${{ github.event.pull_request.base.ref }}. |
branch_name |
PR head ref, slugged | Preview branch name passed to rocky preview --name. Pre-slug if you pass it explicitly: only [A-Za-z0-9_-] are preserved. |
models_dir |
models |
Directory containing model files. Passed to rocky preview create --models. |
working_directory |
. |
Directory containing rocky.toml. The action cds here before each subcommand. |
rocky_version |
latest |
Engine version. latest resolves the highest engine-v* tag; otherwise pass 1.17.4 or engine-v1.17.4. |
comment_marker |
<!-- rocky-preview --> |
Magic-string marker used for comment upsert. Override only if you run multiple preview workflows on the same PR. |
fail_on_preview_error |
false |
When true, fail the PR check if any rocky preview subcommand errors. The default keeps preview advisory: failures still post a section in the comment. |
github_token |
(required) | Token used to read the PR and upsert the comment. Pass ${{ github.token }} from the workflow (or a PAT for cross-repo permissions). Required because composite actions cannot reference ${{ github.token }} in input defaults. |
Action outputs
Section titled “Action outputs”| Output | Description |
|---|---|
comment_url |
HTML URL of the upserted PR comment. |
prune_set_size |
Number of models in the prune set (changed + downstream-of-changed). |
delta_usd |
Total branch-vs-base USD cost delta. Empty when no paired runs exist yet (e.g. first preview against an unpopulated base). |
Failure modes
Section titled “Failure modes”The action is designed to never block a PR by default:
- A
rocky preview <subcommand>failure surfaces as an:x:section in the comment with the captured stderr. - A missing or unfetched base ref produces a hint to add
fetch-depth: 0toactions/checkout. - A PR that touches no model files renders a tight one-liner (
This PR does not change any pipeline models.) instead of empty diff/cost tables.
Set fail_on_preview_error: true to turn any of those into a hard PR-check failure.