query-cost-guard 0.1.1

Per-query cost guard for cloud databases. Set dollar or byte limits before any query runs.

query-cost-guard

Per-query cost guard for BigQuery. Set dollar or byte limits before any query runs.

Why

BigQuery charges per byte scanned. A single bad query can burn through your daily quota. The native maximum_bytes_billed only speaks in bytes — this package lets you think in dollars.

Install

pip install query-cost-guard

# With CLI
pip install query-cost-guard[cli]

Usage

Dollar-based guard

from google.cloud.bigquery import Client
from query_cost_guard import QueryCostGuard, QueryParams

guard = QueryCostGuard(client=Client())

result = guard.query(
    sql="SELECT * FROM `project.dataset.table` WHERE date > '2026-01-01'",
    params=QueryParams(max_cost_usd=0.50),
)

result.rows              # list[dict]
result.actual_cost_usd   # 0.03
result.bytes_billed      # 4_831_838_208
result.duration_seconds  # 2.41

Byte-based guard

result = guard.query(
    sql="SELECT * FROM `project.dataset.table`",
    params=QueryParams(max_bytes=5 * 1024**4),  # 5 TiB
)

max_cost_usd and max_bytes are mutually exclusive.

When cost exceeds the limit

BigQuery rejects the query before execution — no bytes are billed.

from query_cost_guard import QueryCostExceededError, QueryParams

try:
    result = guard.query(sql=huge_query, params=QueryParams(max_cost_usd=0.10))
except QueryCostExceededError as e:
    e.context.estimated_cost_usd  # 2.34
    e.context.max_cost_usd        # 0.10
    e.context.bytes_estimated     # 374_000_000_000

With existing job config

from google.cloud.bigquery import QueryJobConfig, ScalarQueryParameter

result = guard.query(
    sql=sql,
    params=QueryParams(max_cost_usd=1.00, query_tag="observation_troubleshooting"),
    job_config=QueryJobConfig(
        query_parameters=[ScalarQueryParameter("account_id", "INT64", 115)]
    ),
    location="US",
)

Pricing

Live pricing is fetched from the Cloud Billing Catalog API and cached for 24 hours. If the API is unavailable, falls back to the static rate of $6.25/TiB.

from query_cost_guard import QueryCostGuard, OnPricingFailure

# Fail hard if pricing can't be resolved
guard = QueryCostGuard(client=client, on_pricing_failure=OnPricingFailure.RAISE)

# Or pin a known price
guard = QueryCostGuard(client=client, price_per_tib_override=6.25)

Dry-run estimation

estimate = guard.estimate(sql="SELECT * FROM `project.dataset.big_table`")
estimate.estimated_bytes       # 4_831_838_208
estimate.estimated_cost_usd    # 0.0275
estimate.price_per_tib_usd     # 6.25

CLI

Estimate query cost without executing:

query-cost-guard --project my-gcp-project estimate \
  --query "SELECT * FROM \`project.dataset.table\`"

# Estimated bytes:  4,831,838,208
# Estimated cost:   $0.0275 (at $6.25/TiB)

With a cost threshold:

query-cost-guard --project my-gcp-project estimate \
  --query "SELECT * FROM big_table" \
  --max-cost 0.50

# Guard:  ✓ PASS (limit $0.50)

JSON output, file input, stdin:

query-cost-guard --project my-proj estimate --query "SELECT 1" --json
query-cost-guard --project my-proj estimate --file query.sql
cat query.sql | query-cost-guard --project my-proj estimate

Credentials default to Application Default Credentials. Override with --credentials /path/to/sa.json.

How it works

Uses BigQuery's maximum_bytes_billed on the QueryJobConfig. Single API call, no race condition, enforced server-side. Both estimate() and the CLI use dry_run=True for zero-cost estimation.

License

MIT