houqp commented on a change in pull request #55:
URL: https://github.com/apache/arrow-datafusion/pull/55#discussion_r622398455
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File path: datafusion/src/logical_plan/plan.rs
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@@ -141,7 +137,7 @@ pub enum LogicalPlan {
/// Produces rows from a table provider by reference or from the context
TableScan {
/// The name of the table
- table_name: String,
+ table_name: Option<String>,
Review comment:
In SQL this would never happen. It's more of a thing in spark land where
for simple queries, people usually just load a csv or parquet partition into a
dataframe without any table registration. So for example, for dataframe users,
they could start with a `Context.read_csv` call and only reference columns by
unqualified names in subsequent transformations.
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