analyzing-schema-change-storage-risk

name: analyzing-schema-change-storage-risk description: Estimates storage requirements for CockroachDB online schema change backfills using SHOW RANGES WITH DETAILS, KEYS, INDEXES. Use before CREATE INDEX, ADD COLUMN with INDEX/UNIQUE, ALTER PRIMARY KEY, CREATE MATERIALIZED VIEW, CREATE TABLE AS, REFRESH, or SET LOCALITY on tables with large per-index footprints, to avoid mid-backfill disk exhaustion. compatibility: Requires SQL access. SHOW RANGES WITH DETAILS computes span_stats on demand and is expensive on tables with many ranges; target specific tables. Mirrors official guidance at https://www.cockroachlabs.com/docs/stable/online-schema-changes#estimate-your-storage-capacity-before-performing-online-schema-changes. metadata: author: cockroachdb version: "2.0"

Analyzing Schema Change Storage Risk

Estimates the storage headroom needed to safely run online schema changes. Mirrors the official guidance: some operations may temporarily require up to 3× the size of the affected table or index while the schema change is in flight.

For ongoing range-distribution monitoring, see analyzing-range-distribution.

When to Use This Skill

Run a quick estimate before issuing any of these operations on a table whose indexes are large (multiple GB per index, or many ranges per index):

• CREATE INDEX
• ADD COLUMN with INDEX or UNIQUE
• ALTER PRIMARY KEY
• CREATE MATERIALIZED VIEW
• CREATE TABLE AS
• REFRESH MATERIALIZED VIEW
• ALTER TABLE ... SET LOCALITY (when the locality change rewrites data)

Tables whose indexes are small (kilobytes to a few megabytes) carry trivial storage risk; estimation is unnecessary.

Background

How much temporary space does a backfill actually need?

The honest answer depends on the operation:

• CREATE INDEX / ADD COLUMN ... UNIQUE: needs roughly 1× the size of the new index — the indexed columns plus the primary key columns, written into a fresh index span. This is typically a small fraction of the table. Worst-case headroom is bounded by the size of that one index.
• ALTER PRIMARY KEY: rewrites the primary index and any secondary indexes whose definitions depend on the old PK. Old data sticks around until GC, so peak on-disk usage during the change can approach the size of the table again.
• All bulk-ingest backfills: extra MVCC versions and pre-compaction SSTs add overhead until Pebble compacts and GC runs.

The official docs round these up into a single conservative recommendation: plan for up to 3× the size of the affected table or index as free space. That figure is a safety bound, not a precise prediction. For most CREATE INDEX operations the real cost is much smaller; for ALTER PRIMARY KEY on a large table it is the right ballpark.

What happens if the cluster runs out of disk mid-backfill?

Backfills bulk-ingest data via AddSSTable, which checks the per-store remaining capacity before each ingestion. If the remaining fraction falls below kv.bulk_io_write.min_capacity_remaining_fraction (default 0.05, i.e. 5%), the ingest is rejected with InsufficientSpaceError. Both the legacy and declarative schema changers translate that error into a job pause request, so the schema change halts rather than wedging the cluster. To resume, free space (e.g. drop unused indexes, expand storage) and resume the paused job.

This is a reactive safety net, not a planning tool — by the time it fires, foreground writes on the affected store may already be unhealthy.

Estimating Capacity

Step 1 — Check free space per store

The minimum free space across stores is what bounds the schema change, not the total cluster free space (replicas are spread across nodes).

No production-safe SQL view exposes per-store capacity. Use the DB Console Overview → Storage page (sorts per-store usage), or scrape the per-node Prometheus endpoint and look at the smallest capacity_available:

curl -ks https://<node>:8080/_status/vars | grep -E '^capacity( |_used|_available)'

Step 2 — Estimate the affected table/index size

Use the docs-recommended form of SHOW RANGES:

SHOW RANGES FROM TABLE <table> WITH DETAILS, KEYS, INDEXES;

The output includes one row per range, with range_size_mb and index_name. Aggregate by index for the per-index totals that matter for capacity planning:

WITH r AS (SHOW RANGES FROM TABLE <table> WITH DETAILS, KEYS, INDEXES)
SELECT
  index_name,
  COUNT(*)                              AS range_count,
  ROUND(SUM(range_size_mb), 2)          AS index_size_mb,
  ROUND(SUM(range_size_mb) / 1024, 2)   AS index_size_gb
FROM r
GROUP BY index_name
ORDER BY index_size_mb DESC;

Step 3 — Compare against the operation

The new index does not exist yet, so estimate it from a comparable existing index (e.g. one on similarly typed columns) or from the source columns' contribution to the primary index.

If the smallest free-space figure from step 1 is well above the target, the operation is safe to run. If it is close, free space first (drop unused indexes, expand storage) before issuing the DDL.

Operational Notes

• SHOW RANGES ... WITH DETAILS is expensive. It computes span statistics on demand. Always target a specific table, never run it cluster-wide, and prefer maintenance windows on tables with thousands of ranges.
• Watch the job, not just disk. If a backfill pauses with InsufficientSpaceError, free disk on the affected store and resume the paused schema change job. Check with:

  WITH j AS (SHOW JOBS)
  SELECT job_id, status, error
  FROM j
  WHERE job_type = 'SCHEMA CHANGE' AND status = 'paused';
  

• Drop unused indexes first. Often the cheapest way to free headroom before a large backfill is to drop indexes that crdb_internal.index_usage_statistics shows are unused (this is one of the 12 production-safe crdb_internal views, per the docs).
• Statistics lag. range_size_mb is approximate and can lag actual disk usage; treat estimates as conservative ballparks, not exact figures.

References

• Online Schema Changes — Estimate your storage capacity
• SHOW RANGES

Related Skills

• analyzing-range-distribution — range count, leaseholder placement, fragmentation