risingwavelabs/risingwave · error · SchedulerError
{0}
Error message
{0} What it means
SchedulerError::TaskExecutionError(String) carries a free-form message describing a failure of a batch execution task running on a compute node and reported back to the frontend scheduler. The text is produced by the failing stage/task (e.g. a shard-level execution error) and forwarded verbatim.
Source
Thrown at src/frontend/src/scheduler/error.rs:36
use risingwave_rpc_client::error::RpcError;
use thiserror::Error;
use crate::error::{ErrorCode, RwError};
use crate::scheduler::plan_fragmenter::QueryId;
#[derive(Error, Debug)]
pub enum SchedulerError {
#[error("Pin snapshot error: {0} fails to get epoch {1}")]
PinSnapshot(QueryId, u64),
#[error(transparent)]
RpcError(
#[from]
#[backtrace]
RpcError,
),
#[error("{0}")]
TaskExecutionError(String),
#[error("Task got killed because compute node running out of memory")]
TaskRunningOutOfMemory,
/// Used when receive cancel request for some reason, such as user cancel or timeout.
#[error("Query cancelled: {0}")]
QueryCancelled(String),
#[error(
"Reject query: the {0} query number reaches the limit: {1}. Use `SHOW PROCESSLIST` to check for hanging queries and cancel them if needed."
)]
QueryReachLimit(QueryMode, u64),
#[error(transparent)]
BatchError(
#[from]
#[backtrace]View on GitHub (pinned to 6469eb736d)
Solutions
- Read the compute node logs around the failing query's task id for the root cause; the frontend message is only a relay.
- Retry the query if a node restarted transiently.
- If the root cause is a data/expression error, fix the query (e.g. casting, division by zero) accordingly.
- Ensure compute nodes have adequate resources (memory/disk) to run the stage.
Defensive patterns
Strategy: try-catch
Try / catch
// surface full message + check compute logs
catch (e) { log(e.message); fetchComputeNodeLogs(queryId); throw e; } Prevention
- Read compute node logs for the root cause behind the relayed message
- Retry after node restarts
- Fix query-level issues (casts, division by zero) the execution engine reports
When it happens
Trigger: A distributed batch execution stage reports failure to the frontend — e.g. an internal execution error on a compute node, a task RPC response carrying an error status, or task setup/teardown failures.
Common situations: Compute node errors during parallel scan/aggregation; a stage dying after a node restart; expression evaluation errors surfaced from the execution engine.
Understand the failure class
Background: "query failed", "%w: SQL error" — wrapped database query errors in Go libraries explained — this error's family across 3 libraries.
Related errors
- Task got killed because compute node running out of memory
- BatchError
- Receive shutdown msg: {msg:?}
- Pin snapshot error: {0} fails to get epoch {1}
- RpcError
AI-assisted analysis of risingwavelabs/risingwave@6469eb736d (2026-09-11).
Data as JSON: /api/errors/ee7abf1fd82024e1.
Report an issue: GitHub.