alamb commented on code in PR #5520:
URL: https://github.com/apache/arrow-datafusion/pull/5520#discussion_r1133071239
##########
datafusion/core/src/datasource/memory.rs:
##########
@@ -143,22 +147,95 @@ impl TableProvider for MemTable {
_filters: &[Expr],
_limit: Option<usize>,
) -> Result<Arc<dyn ExecutionPlan>> {
+ let batches = &self.batches.read().await;
Ok(Arc::new(MemoryExec::try_new(
- &self.batches.clone(),
+ batches,
self.schema(),
projection.cloned(),
)?))
}
+
+ /// Inserts the execution results of a given [LogicalPlan] into this
[MemTable].
+ /// The `LogicalPlan` must have the same schema as this `MemTable`.
+ ///
+ /// # Arguments
+ ///
+ /// * `state` - The [SessionState] containing the context for executing
the plan.
+ /// * `input` - The [LogicalPlan] to execute and insert.
+ ///
+ /// # Returns
+ ///
+ /// * A `Result` indicating success or failure.
+ async fn insert_into(&self, state: &SessionState, input: &LogicalPlan) ->
Result<()> {
+ // Create a physical plan from the logical plan.
+ let plan = state.create_physical_plan(input).await?;
+
+ // Check that the schema of the plan matches the schema of this table.
Review Comment:
I think whatever is creating the plan should ensure that the incoming rows
match the record batch (as in I prefer this error approach).
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