databricks-bundle-medic

Fix the deploy-time foot-guns of Databricks Asset Bundles (DAB) and the infrastructure operations around them: the bundle-bind gap for UC catalogs and external locations, the "unexpected EOF reading terraform.tfstate" redeploy failure, the schema-GRANT-ordering bug that fails the first deploy, customer-managed-key (CMK) rotation that requires draining the whole workspace, and the PrivateLink cost leak where S3/STS/Kinesis still traverse the NAT. Includes a PreToolUse hook that backs up and validates the bundle's terraform state before every deploy, and a PostToolUse hook that recognises the transient GRANT-ordering failure and recommends a single retry. Use when a databricks bundle deploy fails, before rotating a CMK, when a UC resource cannot be bound to a bundle, or when auditing PrivateLink networking cost. Trigger with "bundle deploy failed", "unexpected EOF terraform.tfstate", "bundle bind external location", "User does not have CREATE TABLE on Schema", "rotate CMK", "privatelink still using NAT".

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databricks-pack Plugin
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databricks-pack

5 live-detection Databricks skills — cost-leak-hunter, cluster-forensics, uc-migration-pilot, streaming-guardian, bundle-medic — backed by the databricks-workspace-mcp server.

saas packs v2.0.0
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Installation

This skill is included in the databricks-pack plugin:

/plugin install databricks-pack@claude-code-plugins-plus

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Instructions

Databricks Bundle Medic

The deploy + infrastructure spine of the pack. Databricks Asset Bundles (DAB) is

immature tooling — the replacement for the deprecated dbx, with a moving bug list

across CLI versions — and the infrastructure operations around a deploy (encryption

keys, networking, workspace config) bite production platform teams hardest. This skill

turns the five worst deploy-time foot-guns into deterministic, reversible operations.

Overview

Five pains, all from the pack's deploy-ops research:

Asset Bundles (DAB). D4 — databricks bundle bind does NOT yet support UC catalogs

or external locations (databricks/cli#4842), so existing UC resources cannot come under

bundle management without hand-editing terraform.tfstate (hostile) or

destroy-and-recreate (impossible with dependent tables). D5 — "unexpected EOF reading

terraform.tfstate" on every redeploy after the first (databricks/cli#4986), which bricks

the bundle until you switch to DATABRICKSBUNDLEENGINE=direct. D6 — the schema

GRANT-ordering bug (databricks/cli#4573): the first deploy to a fresh workspace fails

with "User does not have CREATE TABLE on Schema", but the second succeeds because the

first applied the grants before dying.

Deploy-time infrastructure. D8 — rotating a workspace's customer-managed key (CMK)

requires terminating every cluster, instance pool, and SQL warehouse first: a hard

maintenance window. D9 — the PrivateLink trap: enabling PrivateLink for the control

plane is mistaken for "all traffic is private," but the data plane's S3 / STS / Kinesis

calls still traverse the NAT, billing NAT-processing + cross-AZ transfer until each gets

its own VPC endpoint.

The two hooks (this is the pack's only two-hook skill). A PreToolUse hook

(hooks/bundle-deploy-guard.py) runs before every databricks bundle deploy: it

validates the bundle's local terraform state parses as JSON, caches a timestamped

known-good backup as a recovery escape hatch, and warns loudly if the state is corrupt

or has shrunk (the D5 signature). A PostToolUse hook (hooks/bundle-grant-retry.py)

watches a deploy's output and — ONLY on the exact D6 "does not have … on Schema"

signature — adds context recommending one retry, with the reason. Both are advisory:

the pre-hook never blocks a deploy, and the post-hook never masks a real error — it

surfaces the diagnosis and stops recommending retries if the same failure persists.

Deterministic work lives in scripts/; deep knowledge in references/. The

import-uc-resource-to-bundle.py D4 workaround is self-deprecating — it exists only

until #4842 closes and says so. Control-plane state comes from the

databricks-workspace-mcp server (externallocationslist, storagecredentialslist)

or the CLI; advisory-mode fallback accepts pasted input.

Prerequisites

  • Databricks CLI authenticated, plus terraform and jq on PATH — for the bundle,

import, and state operations.

  • databricks-workspace-mcp registered (optional) — for externallocationslist

and storagecredentialslist. Absent → the CLI (`databricks external-locations

list`) or advisory mode on pasted input.

  • Account-level OAuth M2M (service principal) for CMK rotation — the D8 operations

are account-scoped; a workspace PAT is insufficient. AWS/Azure/GCP CLI for the

cloud-side key + VPC-endpoint work.

  • The two hooks are plugin-level — installed with the pack. The pre-hook is silent

unless a state looks corrupt; the post-hook is silent unless the exact D6 error fires.

Instructions

Pick the flow by symptom. Always name the exact error string / issue id

unexpected EOF reading terraform.tfstate (#4986), `does not have CREATE TABLE on

Schema (#4573), the bundle bind` UC gap (#4842) — an operator greps for those.

Step 1: A bundle deploy that fails on state (D5)

"unexpected EOF reading terraform.tfstate" after the first deploy is #4986. The

bundle-deploy-guard PreToolUse hook already cached a known-good backup; restore it,

or switch engines:


DATABRICKS_BUNDLE_ENGINE=direct databricks bundle deploy -t "$TARGET"

Engine tradeoffs + the migration steps:

${CLAUDESKILLDIR}/references/bundle-engine-tradeoffs.md.

Step 2: First deploy fails "does not have CREATE TABLE on Schema" (D6)

This is the transient GRANT-ordering bug (#4573). The bundle-grant-retry PostToolUse

hook flags it; re-run the SAME deploy exactly once — the failed first pass already

applied the grants. If the identical error persists after one retry, it is NOT this

transient — treat it as a real missing privilege and stop retrying.

Step 3: A UC resource that will not bind (D4)

databricks bundle bind cannot take a UC catalog or external location yet (#4842).

Generate a review-first Terraform import plan (never hand-edit state):


python3 "${CLAUDE_SKILL_DIR}/scripts/import-uc-resource-to-bundle.py" \
  --type external_location --name raw_zone --resource-key raw_zone_loc

The three workarounds, ranked by risk:

${CLAUDESKILLDIR}/references/uc-resource-binding-workarounds.md.

Step 4: Rotate a customer-managed key (D8)

CMK rotation needs the whole workspace drained. Inventory the running compute (via

externallocationslist / the CLI), then plan the drain — dry-run by default:


databricks clusters list --output json > /tmp/inv-clusters.json   # + warehouses, pools
python3 "${CLAUDE_SKILL_DIR}/scripts/drain-workspace.py" --inventory inv.json          # dry-run
python3 "${CLAUDE_SKILL_DIR}/scripts/drain-workspace.py" --inventory inv.json --execute --manifest drain.json
# ... rotate the CMK per cloud, then:
python3 "${CLAUDE_SKILL_DIR}/scripts/drain-workspace.py" --resume drain.json

Per-cloud playbooks (AWS/Azure/GCP):

${CLAUDESKILLDIR}/references/cmk-rotation-by-cloud.md.

Step 5: Audit the PrivateLink cost leak (D9)

PrivateLink covers the control plane only. Audit the data-plane VPC for the S3/STS/Kinesis

endpoints and emit remediation Terraform for any that are missing:


python3 "${CLAUDE_SKILL_DIR}/scripts/audit-vpc-endpoints.py" \
  --present s3 --vpc-id vpc-abc --region us-east-1 --emit-terraform

The full per-service leak/fix map:

${CLAUDESKILLDIR}/references/cost-leak-map.md.

Output

  • A hook backup + advisory — before each deploy, a validated known-good state

backup and, if the state is corrupt/shrunk, the #4986 recovery message.

  • A retry recommendation — on the exact D6 signature, a one-retry recommendation

with the reason (never a masked error).

  • A UC import plan — the resources: YAML + Terraform import block/command to

adopt an existing UC resource, with the self-deprecation notice.

  • A drain / resume plan — the idempotent list of compute to terminate for CMK

rotation and the manifest to resume exactly what was drained.

  • A VPC-endpoint verdict — SAFE or a COST LEAK finding naming the missing

S3/STS/Kinesis endpoints, with remediation Terraform.

Error Handling

Error Cause Solution
unexpected EOF reading terraform.tfstate Terraform-engine state read bug on redeploy (D5, #4986) Restore the guard's cached backup, or DATABRICKSBUNDLEENGINE=direct.
User does not have CREATE TABLE on Schema '…' DAB GRANT-ordering (D6, #4573) Re-run the deploy once; grants were applied by the failed pass. Persists after one retry → real missing grant.
bundle bind rejects a UC catalog / external location Unsupported in the CLI (D4, #4842) Use import-uc-resource-to-bundle.py to generate a Terraform import plan; never hand-edit state.
CMK rotation rejected — compute still running CMK update requires a drained workspace (D8) drain-workspace.py --execute, rotate, then --resume.
High NAT / cross-AZ cost after PrivateLink S3/STS/Kinesis have no VPC endpoint (D9) audit-vpc-endpoints.py --emit-terraform; add Gateway (S3) + Interface (STS/Kinesis) endpoints.

Examples

Example 1: "My second bundle deploy fails with unexpected EOF reading terraform.tfstate."

D5 (#4986). The bundle-deploy-guard hook already cached a known-good state before the

deploy — restore it, then redeploy with DATABRICKSBUNDLEENGINE=direct (the direct

engine never reads the state file, so the EOF class cannot fire).

Example 2: "First deploy to a fresh workspace: User does not have CREATE TABLE on Schema."

D6 (#4573). The bundle-grant-retry hook recognises the exact signature and recommends

one retry — the failed first deploy applied the schema grants, so the second succeeds.

Example 3: "I need to bring an existing external location under my bundle."

D4 (#4842) — bundle bind can't. `import-uc-resource-to-bundle.py --type

external_location emits the resources: YAML plus a Terraform import` block to adopt

it without recreating it or hand-editing state. The script self-deprecates when #4842 closes.

Example 4: "We turned on PrivateLink but the NAT bill went up."

D9. audit-vpc-endpoints.py --present s3 finds STS and Kinesis have no Interface

endpoint, so credential-vending and log traffic still cross the NAT — it emits the

remediation Terraform for both.

Resources

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