Classify rows
Named arguments use=>. Supply model coordinates inline, make the instruction
and output type constant strings, and label every input with named_struct.
Classify Linear issues
Arguments
Do not mix named and positional arguments. The named form is the documented
interface; Parable lowers it to the positional DataFusion function before
planning.
Choose an output type
Primitive output supportsUtf8, Int64, Float64, Boolean, Date32, and
Timestamp. A failed call produces NULL for a primitive cell while the rest
of the query continues.
Use Struct when downstream SQL needs more than one typed field:
Extract structured output
meta Struct; do not declare meta in the supplied schema.
partial means the response parsed but omitted at least one required field.
error means the model call failed. Struct output keeps the metadata alongside
the row so SQL can inspect either state.
Execution and limits
Interactive queries execute Ponder as an asynchronous DataFusion scalar function. Scheduled Plot runs split it into a separate inference stage, pin the output-affecting model and instruction content, and account provider calls and cost before completing the result. The service caps input rows and concurrency. A longer per-call timeout can lower the effective row cap because it consumes more of the query timeout budget. Runponder() with the same SDK query method as any other Parable SQL. See
Query with the SDKs.