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What does HRESULT 0xC80003FC (hrOutOfFileHandles) mean?

 
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hrOutOfFileHandles

Locate the failure in the Jet call chain

For hrOutOfFileHandles, the diagnostic value comes from the specific ESE error family and the exact operation that returned it. The decisive boundary is the engine could not obtain another operating-system file handle for database work.

This result is the legacy Directory Service backup/restore HRESULT form of the ESE condition normally written as JET_errOutOfFileHandles. Preserve the original value 0xC80003FC when a wrapper also exposes a signed JET_ERR.

The key comparison for this HRESULT is this: hrTooManyOpenDatabases counts ESE database opens, while this result reaches the OS handle layer. The first useful observation is to measure process and system handle counts and identify leaked database, log, temporary, or backup files. This it evidence identifies the exhausted pool so a leak, long transaction, concurrency spike, and hard capacity limit are not confused.

The ESE objects in play

Diagnostic layerbounded engine, process, and storage resources
Typical API surfaceinstance system parameters, sessions, cursors, temporary tables, database attachment, and file growth
Code-specific boundarythe engine could not obtain another operating-system file handle for database work
First corrective directionclose leaked handles, reduce parallel file activity, and verify handle counts fall before retrying

A retry without closing owners or adding capacity often repeats the same failure and increases load., resource codes should be tied to the exact exhausted pool rather than treated as generic low memory.

Questions the logs must answer

A useful trace for this HRESULT should preserve the first failing operation and the state of the bounded engine, process, and storage resources.

Log lengths, hashes, IDs, flags, and redacted samples where appropriate.

Response and verification

  1. Freeze the failing request context and record it, 0xC80003FC, the Jet API name, and the current instance/session ownership.
  2. Verify the code-specific precondition: measure process and system handle counts and identify leaked database, log, temporary, or backup files.
  3. Apply the narrow correction: close leaked handles, reduce parallel file activity, and verify handle counts fall before retrying.
  4. Before retrying it, reconcile resource counts, owner cleanup, and capacity after the correction.
  5. confirm both the returned HRESULT and the resulting database, cursor, or file state; then add a regression test that forces the old boundary and proves cleanup leaves no stale handles.

Developer-facing acceptance test

Build a focused test that reproduces it at the bounded engine, process, and storage resources layer. Record the precondition, execute one API call, and assert the HRESULT plus the resulting handle and transaction state. The corrected it test should change only the decisive condition—the engine could not obtain another operating-system file handle for database work—and should prove that cleanup is safe if the call still fails.

Distinguishing signals

For this HRESULT, hrTooManyOpenDatabases counts ESE database opens, while it reaches the OS handle layer. The following neighboring results belong to the same broad subsystem but mark different boundaries:

hrOutOfDatabaseSpacethe database reached an engine-imposed growth ceiling rather than merely a full volume
hrOutOfMemoryESE or its caller could not reserve memory required for the operation
hrOutOfCursorsthe process exhausted table cursor resources because cursors were opened faster than they were closed

Keep it in the incident record; replacing it with “database error” hides whether the next step is handle renewal, schema correction, lock reconciliation, or file preservation.

Actions that can hide or worsen the problem

Technical references


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