Error 49: LOGICAL_ERROR
This error indicates an internal bug or assertion failure in ClickHouse that should not occur under normal circumstances. It represents a violation of internal invariants or unexpected conditions that point to a bug in ClickHouse itself rather than a user error.
Most common causes
-
Internal assertion failures
- Failed internal consistency checks
- Invariant violations in ClickHouse code
- Unexpected state transitions that should never happen
- Buffer or pointer validation failures
-
File system cache issues
- Inconsistent cache state in S3 or remote filesystem operations
- Buffer offset mismatches (e.g., "Expected X >= Y")
- File segment inconsistencies
-
Merge tree operations
- Part management issues (e.g., "Entry actual part isn't empty yet")
- Temporary part conflicts
- Part state inconsistencies during merges or mutations
-
Query optimizer or planner bugs
- Incorrect operand types in expressions
- Invalid query plan generation
- Column type mismatches in internal processing
-
Concurrency and synchronization issues
- Race conditions in multi-threaded operations
- Lock ordering violations
- State corruption from concurrent access
-
LLVM compilation errors
- Incorrect operand types in compiled expressions
- JIT compilation failures
What to do when you encounter this error
1. This is a bug - report it to ClickHouse
LOGICAL_ERROR always indicates a bug in ClickHouse, not a user error. The error message typically says "Report this error to https://github.com/ClickHouse/ClickHouse/issues"
2. Gather diagnostic information
Before reporting, collect:
3. Note your ClickHouse version
4. Try to create a minimal reproducible example
If possible, identify:
- The specific query that triggers the error
- Table schema and sample data
- Any recent operations (merges, mutations,
ALTERstatements)
5. Check if the issue is already fixed
Search existing issues on GitHub Consider upgrading to a newer version if available.
Temporary workarounds
While waiting for a fix, you may try:
1. Restart the server or retry the operation
2. Optimize or rebuild affected parts
3. Disable experimental features
4. Adjust settings that may trigger the bug
5. Use alternative query formulation
If a specific query pattern triggers the error, try rewriting the query differently.
Common specific scenarios
Scenario 1: Buffer offset mismatch
This typically occurs with S3 or remote filesystem cache. Try:
- Clearing the filesystem cache
- Disabling cache temporarily
- Upgrading to a newer version
Scenario 2: Part management errors
Related to merge tree part operations. Try:
OPTIMIZE TABLE FINAL- Checking for stuck merges in
system.merges - Checking mutations in
system.mutations
Scenario 3: LLVM compilation errors
Related to expression compilation. Try: