Arc partition values in TableSchema#19137
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alamb
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alamb
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Looks good to me -- I recommend Fields but otherwise 👍
| /// These columns are NOT present in the data files but are appended to each | ||
| /// row during query execution based on the file's location. | ||
| table_partition_cols: Vec<FieldRef>, | ||
| table_partition_cols: Arc<Vec<FieldRef>>, |
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I recommend we use https://docs.rs/arrow/latest/arrow/datatypes/struct.Fields.html (which is already basically Arc<Vec>) but can be constructed zero copy potentially from existing schemas
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I tried this but it:
- Is incompatible with your recommendation in https://github.com/apache/datafusion/pull/19137/files/fd79a3ba89e9c5d45796aa8fbb7782bf1413bde4#r2598642330 because we can't do
Arc::make_mut(&mut Fields)andFieldsdoesn't expose mutablility. - It would require changing the public API of
TableSchema::partition_fields()
I also am not that worried about construction cost (that happens once in FileSource, it's the mutliple copies for each FIleOpener that worry me.
In any case since the current change is fully backwards compatible API wise and is internally contained we can always come back and use Fields later, so I will leave that as a followup.
| @@ -140,7 +140,18 @@ impl TableSchema { | |||
| /// into [`TableSchema::with_table_partition_cols`] if you have partition columns at construction time | |||
| /// since it avoids re-computing the table schema. | |||
| pub fn with_table_partition_cols(mut self, partition_cols: Vec<FieldRef>) -> Self { | |||
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if you used Fields you could also pass in impl Into<Fields>
| self.table_partition_cols = Arc::new(partition_cols); | ||
| } else { | ||
| // Append to existing partition columns | ||
| self.table_partition_cols = Arc::new( |
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I recommend Arc::make_mut here to avoid the allocation if possible
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This should avoid some clones.
I also fixed a bug when
with_partition_valuesis called multiple times on the same instance; it now appends the partition values.