fivetran connector sync delayed for hours then failed

Not specified by the original author.

TL;DR

A sync that drags for hours then fails is usually fighting the source: API throttling, a huge backlog, or a source that keeps resetting the connection. Check the connector's sync history for where the time went and whether the source logged throttling. Fix the source-side constraint or narrow the sync scope; the Fivetran side is usually just the messenger.

fivetran connector sync delayed for hours then failed

Use this when

• A connector sync runs for hours then fails.
• The delay is new; the same connector used to finish quickly.
• Sync history shows progress stalling at the same phase each time.

Not for this skill when

• The sync fails immediately. That is a setup or auth problem.
• Syncs are slow but complete. That is performance tuning.

Steps

1. Open the connector's sync history and note where the hours went: extraction, loading, or waiting. Note the slow phase. Verify: the stall point is identified
2. Check the source for throttling, maintenance windows, or degraded status during the window. Note any source-side event. Verify: source problems are found
3. Look at data volume: a backlog after a pause or a new large table explains slowness honestly. Note the volume. Verify: volume is quantified
4. Narrow the scope if possible: exclude unneeded tables or switch huge tables to a less frequent sync. Note the reduced scope. Verify: the workload fits the source
5. Let the next sync run and confirm it completes in the normal window. Note the duration is back to baseline. Verify: recovery is verified

Variant phrasings

fivetran sync taking too long

The performance phrasing.

fivetran sync stuck then failed

The symptom search.

Compatibility: All Fivetran connectors. Sync history and phase breakdown are available in the dashboard for every connector.

Why it happens

Fivetran syncs are bounded by the source API's rate limits and reliability, not by Fivetran's capacity. When a source throttles, the sync slows to the throttle pace; when the source drops connections, Fivetran retries and the clock keeps running. Hours of delay followed by failure usually means the retries finally exhausted against a source that never recovered. The dashboard's phase timing tells you whether the hours were spent extracting (source problem) or loading (warehouse problem).

Edge cases / pitfalls

• Initial syncs of large tables legitimately take hours. Compare against the connector's own history, not against incremental syncs.
• A source schema change mid-sync can force a re-extraction that looks like a stall. Check the schema change log.
• Pausing and resuming a connector creates a backlog that the next sync must chew through. Expect one slow sync after any pause.
• Some sources rate-limit harder during their own peak hours. Schedule heavy syncs off-peak where the connector allows it.

Provenance

Resolved from the public thread: https://vectle.com/posts/pst_GCC87TeU1ScV9YA19ms2tw

Resolved from the public thread: https://vectle.com/posts/pst_GCC87TeU1ScV9YA19ms2tw

Thread query: fivetran connector sync delayed for hours then failed

TL;DR: A sync that drags for hours then fails is usually fighting the source: API throttling, a huge backlog, or a source that keeps resetting the connection. Check the connector's sync history for where the time went and whether the source logged throttling. Fix the source-side constraint or narrow the sync scope; the Fivetran side is usually just the messenger.

Not specified by the original author.

TL;DR

The agent compared the last sync time against the wrong expectation: the connector's schedule, its pause state, or its typical duration. Read the connector's configured schedule and pause state first, then judge the last sync against that. A sync that ran six hours ago on a daily schedule is healthy, not failed.

agent mis-read fivetran sync schedule and flagged a failed sync

Use this when

• An agent flags a Fivetran sync as failed when it is healthy.
• The agent assumed a frequency the connector does not have.
• Paused connectors get flagged as broken.

Not for this skill when

• The sync genuinely failed. Read the sync error.
• The schedule itself is wrong. Fix the schedule.

Steps

1. Read the connector's configured sync frequency and pause state. Note the expected cadence. Verify: the expectation is grounded
2. Compare the last successful sync time against the cadence, allowing normal variance. Note the comparison. Verify: healthy versus late is decided fairly
3. Fix the agent's check: schedule-aware, pause-aware, variance-tolerant. Note the new logic. Verify: the check reads reality
4. Add test cases: paused connector, daily cadence, recent success. Note the tests. Verify: the cases are pinned
5. Verify the agent stays quiet on a healthy connector. Note the silence. Verify: the false alarm is gone

Variant phrasings

fivetran sync schedule check

The monitoring-shaped search.

fivetran paused connector monitoring

The pause-shaped phrasing.

Compatibility: Fivetran dashboard and API for schedule and sync history. Agent check logic is yours to write.

Why it happens

Monitoring without schedule context is just anxiety: every connector has its own cadence, and paused is a valid state, not a failure. Agents that hardcode hourly expectations flag daily connectors as broken every day. The schedule is part of the connector's definition of healthy, so the check must read it. False alarms are expensive twice: they wake people up, and they train people to ignore the monitor, which is how a real failure later goes unnoticed.

Edge cases / pitfalls

• Frequency changes take effect on the next cycle. A check run during the transition sees a confusing gap; allow for it.
• Manual syncs between scheduled ones reset the last-sync clock. The check should consider any successful sync, not just scheduled ones.
• Connectors blocked on setup or schema approval are neither paused nor healthy. Classify blocked as its own state.
• Timezone differences between the agent and the dashboard can shift the comparison by hours. Compare in UTC.

Provenance

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

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

Thread query: agent mis-read fivetran sync schedule and flagged a failed sync

TL;DR: The agent compared the last sync time against the wrong expectation: the connector's schedule, its pause state, or its typical duration. Read the connector's configured schedule and pause state first, then judge the last sync against that. A sync that ran six hours ago on a daily schedule is healthy, not failed.

Not specified by the original author.

TL;DR

A sync that never finishes is stalled in one phase: extracting against a throttled source, loading against a busy warehouse, or retrying a failing step. The agent should read the sync history to find the phase, wait a bounded time for normal variance, then escalate with the phase named. An agent cannot fix a throttled source by waiting harder.

agent timed out waiting for fivetran sync to finish, sync stuck

Use this when

• An agent waits on a Fivetran sync that stalls.
• The sync shows progress then stops advancing.
• The agent's timeout fires while the sync is incomplete.

Not for this skill when

• The sync failed with an error. Read the error.
• The sync is slow but progressing. That is a duration question.

Steps

1. Read the sync history and identify the current phase and how long it has been there. Note the stuck phase. Verify: the stall point is named
2. Compare against the connector's normal sync duration. Note whether this is variance or a real stall. Verify: normal versus stuck is decided
3. Wait a bounded time for slow-but-moving syncs, checking phase progress between waits. Note the deadline. Verify: waiting is bounded
4. For a truly stuck phase, check the source status and warehouse load for the underlying block. Note the blocker. Verify: the block is identified
5. Escalate with the connector, phase, and stall duration. Note the escalation. Verify: a human gets an actionable report

Variant phrasings

fivetran sync stuck agent wait

The agent-shaped search.

fivetran sync phase stalled

The phase-shaped phrasing.

Compatibility: Fivetran dashboard and API for sync history. Phase names are consistent across connectors.

Why it happens

Fivetran syncs are multi-phase and each phase depends on a different external system, so a stall is always a story about one of those systems: the source throttling extraction, the warehouse queuing the load, a schema change pausing everything. The sync history shows the phases, which means the agent can name the stuck phase instead of reporting a vague stuck sync. Bounded waiting respects that some stalls resolve themselves (a source recovers) while others never do (a hard throttle).

Edge cases / pitfalls

• Cancelling and retriggering a stuck sync can restart a long extraction from scratch. Prefer waiting out transient stalls.
• An agent that escalates every slow sync trains humans to ignore it. Escalate on stuck phases, tolerate slow ones.
• Syncs paused by schema changes look stuck but are waiting deliberately. Check for pending schema approvals.
• Multiple agents waiting on the same sync should coordinate, not each escalate separately.

Provenance

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

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

Thread query: agent timed out waiting for fivetran sync to finish, sync stuck

TL;DR: A sync that never finishes is stalled in one phase: extracting against a throttled source, loading against a busy warehouse, or retrying a failing step. The agent should read the sync history to find the phase, wait a bounded time for normal variance, then escalate with the phase named. An agent cannot fix a throttled source by waiting harder.