databendlabs/databend · error
failed to infer billing_usage_daily schema
Error message
failed to infer billing_usage_daily schema
What it means
This panic occurs when infer_table_schema fails to build a valid schema from the hardcoded billing_usage_daily table function schema definition. Since the schema is static and expected to always be valid, the code uses expect and treats failure as an internal bug — the table function cannot be constructed without a schema.
Solutions
- Inspect the schema returned by billing_usage_daily_schema() for unsupported or malformed field types and fix the definition.
- Verify the binary matches a supported release; a corrupted/partially built binary can break internal schema inference.
- Report/fix upstream: the schema is static so the fix belongs in the source, not user configuration.
Example fix
// before let t = billing_usage_daily_type(); // (field type not supported by infer_table_schema, e.g. a custom variant) // after let t = TableDataType::String; // use a supported primitive type in billing_usage_daily_schema()
Defensive patterns
Strategy: try-catch
Try / catch
// calling the schema inference in Rust integration code
match infer_table_schema(&billing_usage_daily_schema()) {
Ok(schema) => { /* proceed */ }
Err(e) => log::error!("billing_usage_daily schema inference failed: {:?}", e),
} Prevention
- Keep the hardcoded schema limited to primitive supported TableDataTypes.
- Add a unit test that runs infer_table_schema on billing_usage_daily_schema().
- Avoid duplicate field names or custom type variants in static schemas.
- Pin tested binary releases; this panic indicates a build/source bug, not user error.
When it happens
Trigger: Creating or querying the billing_usage_daily(...) table function when infer_table_schema(&billing_usage_daily_schema()) returns Err, i.e. the DataSchema built by billing_usage_daily_schema() cannot be converted into a table schema.
Common situations: A code change to billing_usage_daily_schema() introducing an invalid/unsupported data type or duplicate field names; version mismatches where the schema definition no longer matches what infer_table_schema accepts; it should never fail in a correctly built release binary.
Understand the failure class
Background: Schema validation failed / invalid input schema: payload rejected because its shape doesn't match the expected schema — this error's family across 28 libraries.
Related errors
- {}
- Temp table id used up
- Invalid temp table desc
- expect tuple type
- DataType::Map should contain a struct field child
AI-assisted analysis of databendlabs/databend@288d84d76e (2026-09-11).
Data as JSON: /api/errors/e26ca9cff743c2a6.
Report an issue: GitHub.
Appendix: source
Thrown at src/query/service/src/table_functions/billing_usage_daily.rs:82
args_parsed: BillingUsageDailyArgsParsed,
table_args: TableArgs,
}
impl BillingUsageDailyTable {
pub fn create(
database_name: &str,
table_func_name: &str,
table_id: u64,
table_args: TableArgs,
) -> Result<Arc<dyn TableFunction>> {
let args_parsed = BillingUsageDailyArgsParsed::parse(&table_args)?;
let table_info = TableInfo {
ident: TableIdent::new(table_id, 0),
desc: format!("'{}'.'{}'", database_name, table_func_name),
name: String::from("billing_usage_daily"),
meta: TableMeta {
schema: infer_table_schema(&billing_usage_daily_schema())
.expect("failed to infer billing_usage_daily schema"),
engine: String::from(table_func_name),
created_on: DateTime::from_timestamp(0, 0).unwrap(),
updated_on: DateTime::from_timestamp(0, 0).unwrap(),
..Default::default()
},
..Default::default()
};
Ok(Arc::new(Self {
table_info,
args_parsed,
table_args,
}))
}
}
#[async_trait::async_trait]
impl Table for BillingUsageDailyTable {View on GitHub (pinned to 288d84d76e)