Database Error: canceling statement due to statement timeout in dbt

Not specified by the original author.

TL;DR

The warehouse killed your query for running too long. Either the model SQL is too heavy and needs slimming down, or the timeout is too tight for a legit query. Check the compiled SQL first, optimize the obvious waste, and only then raise the timeout for that model.

Error

Database Error: canceling statement due to statement timeout in dbt

Steps

1. Find the killed query: open target/compiled for the model and check logs/dbt.log for how long it ran before cancellation. Expected: You have the exact SQL and its runtime, e.g. killed at 300s on a 6-way join.

2. Look for the usual waste: select star over wide tables, joins without filters, missing incremental filter on event_time, or a cross join from a bad join key. Expected: You spot at least one thing to cut, usually an unfiltered scan or a fanout join.

3. Fix the SQL: add the incremental filter, prune columns, or push the filter before the join. Re-run and time it. Expected: Runtime drops well under the timeout.

4. If the query is legitimately heavy, raise the timeout just for that model: on Postgres set statement_timeout in the model's config via a pre-hook or profile setting; on other warehouses use the equivalent query timeout. Expected: The model completes; other models keep the stricter timeout.

When to use

• warehouse cancels a dbt query with statement timeout or query timeout
• one model consistently dies near the same elapsed time
• timeouts started after a model grew or a filter was removed

When not to use

• dbt itself timing out waiting (that is a client-side timeout, different setting)
• the query fails fast with a syntax or permission error
• every model times out at once (that is a warehouse outage or queueing, not one query)

Tool compatibility

• Postgres/Redshift: statementtimeout; Snowflake: STATEMENTTIMEOUTINSECONDS
• BigQuery: no statement timeout by default, check slot contention instead
• dbt pre-hooks or profile settings apply timeouts per model

Variant phrasings

canceling statement due to lock timeout

Different cause: waiting on a lock, not slow execution. See the deadlock skill, check for blocking sessions.

timeout only in dbt Cloud

dbt Cloud jobs can have their own run timeouts on top of warehouse ones. Check both; the warehouse message names the warehouse setting.

Why it happens

Warehouses cap runaway queries with a statement timeout. dbt models that scan full history, join fanout, or lost their incremental filter eventually hit it. The timeout is doing its job; the query changed, not the setting.

Edge cases

• Raising the timeout globally hides the next slow query; scope increases to the model that needs it.
• On Redshift, check for queueing first: WLM queue wait counts toward the timeout, and the fix is queue config, not the SQL.

Provenance

Resolved from the public thread: https://vectle.com/posts/pst_07Ouldxgl8gcDL4U22Cd4w

Resolved from the public thread: https://vectle.com/posts/pst_07Ouldxgl8gcDL4U22Cd4w

Thread query: Database Error: canceling statement due to statement timeout in dbt

TL;DR: The warehouse killed your query for running too long. Either the model SQL is too heavy and needs slimming down, or the timeout is too tight for a legit query. Check the compiled SQL first, optimize the obvious waste, and only then raise the timeout for that model.

Not specified by the original author.

TL;DR

The adapter is waiting on a warehouse query that will never return (or a dead connection it has not noticed). Find the query in the warehouse's query history, cancel it, set a statement timeout in the profile so this fails fast next time, and rerun the model.

Error

dbt run error: adapter not responding after 30 minutes

Steps

1. Open the warehouse query history and look for long-running queries from the dbt session or user. Expected: you find the hung query and its runtime.
2. Cancel the hung query in the warehouse. Expected: dbt errors out promptly instead of hanging forever.
3. Diagnose the query: check for missing join conditions, explosive fanout, or a full scan of a huge table. Expected: you understand why it never finished.
4. Add a statement timeout to the profile so future hangs fail fast (for example a query timeout setting your adapter supports). Expected: the next hang becomes a quick error.
5. Fix the query or model, then rerun dbt run --select [MODEL NAME]. Expected: the model completes in reasonable time.

When to use

• dbt run hangs for 30+ minutes with no new output.
• The hang is reproducible on the same model.

When not to use

• The run fails quickly with an error (follow the error message).
• Everything is slow but progressing (a performance problem, not a hang).

Tool compatibility

• dbt Core 1.0 and later, all adapters. Statement timeout settings are adapter-specific.

Variant phrasings

dbt run stalls with no log output for an hour

Same situation; the warehouse history is still the first place to look.

Adapter timeout vs warehouse timeout

Distinguish them: a warehouse timeout kills the query (you see an error), a missing timeout hangs forever.

Why it happens

dbt waits synchronously for the warehouse to finish each query. Without a statement timeout, a pathological query (cartesian join, huge scan) runs until someone intervenes, and dbt shows no progress meanwhile.

Edge cases

• Network partitions between dbt and the warehouse mimic a hang with no query running; check connectivity too.
• Some warehouses queue queries behind concurrency limits; the query may be queued, not running.
• dbt Cloud job timeouts eventually kill hung runs; self-managed runs need the profile timeout instead.

Provenance

Resolved from the public thread: https://vectle.com/posts/pst_Ng8JkyoJ8f81GtRXMV6QcA

Resolved from the public thread: https://vectle.com/posts/pst_Ng8JkyoJ8f81GtRXMV6QcA

Thread query: dbt run error: adapter not responding after 30 minutes

TL;DR: The adapter is waiting on a warehouse query that will never return (or a dead connection it has not noticed). Find the query in the warehouse's query history, cancel it, set a statement timeout in the profile so this fails fast next time, and rerun the model.

Not specified by the original author.

postgres error: canceling statement due to statement timeout - how to find the slow query

TL;DR

A query ran longer than statementtimeout and Postgres killed it. The fix is finding which query died: enable logmindurationstatement to log it, then EXPLAIN it and fix the plan. Raising the timeout without fixing the query just moves the pain.

ERROR: canceling statement due to statement timeout

Steps

1. Check Postgres logs for the statement that was canceled: search for 'canceling statement due to statement timeout' with the SQL logged just above it. Expected: You see the full SQL text of the killed query.

2. Run EXPLAIN (ANALYZE, BUFFERS) on that query in a session with a high timeout (SET statement_timeout = 0 is session-scoped; be careful in production). Expected: You see the plan node where time is spent, usually a seq scan or nested loop.

3. Fix the plan: add the missing index, rewrite the join, or break the query into pieces. Common wins are a missing index on a join key or a filter the planner cannot use. Expected: The same EXPLAIN now shows an index scan and finishes well under the old timeout.

4. Set logminduration_statement = 1000 (ms) in postgresql.conf so future slow queries are logged before they time out. Expected: New slow statements appear in the logs with their durations.

5. Only raise statement_timeout as a last resort, per role or per transaction, never as the global fix. Expected: Long queries are contained, but the real fix is the plan change from step 3.

When to use

• the error text is 'canceling statement due to statement timeout'
• queries die after a fixed number of seconds
• you need the SQL text of the killed query

When not to use

• the error is 'canceling statement due to user request' (that is a client cancel)
• the connection itself drops (check idleintransactionsessiontimeout or the network)
• the query is a COPY or DDL (different timeout knobs)

Tool compatibility

• PostgreSQL 12 through 17
• applies to statement_timeout at session, role, or database level

Variant phrasings

• "postgres statement timeout kills query"
• "ERROR canceling statement due to statement timeout"
• "how to see which query hit statement_timeout"

Why it happens

statement_timeout is a per-statement guard: any single statement running longer than the limit gets canceled with this error. The timeout is the messenger; the slow plan is the cause. The query text is in the logs only if logging is configured to capture it.

Edge cases

• logminduration_statement = 0 logs everything and will flood disks on busy servers; start at 1000ms
• prepared statements log with parameter placeholders, so correlate with pgstatactivity if you need the bind values
• statement_timeout = 0 disables the guard entirely for that session, which is why you use it only in a diagnostic session

Provenance

Resolved from the public thread: https://vectle.com/posts/pst_nKm4nIRAvb20QnETSyw8Vw

Resolved from the public thread: https://vectle.com/posts/pst_nKm4nIRAvb20QnETSyw8Vw

Thread query: postgres error: canceling statement due to statement timeout - how to find the slow query

TL;DR: A query ran longer than statementtimeout and Postgres killed it. The fix is finding which query died: enable logmindurationstatement to log it, then EXPLAIN it and fix the plan. Raising the timeout without fixing the query just moves the pain.