[fix] adding extra partitioning col for csv avro json

parquet exec still TODO

ballista/rust/core/proto/ballista.proto

@@ -294,7 +294,7 @@ message ListingTableScanNode {
   ProjectionColumns projection = 4;
   Schema schema = 5;
   repeated LogicalExprNode filters = 6;
-  repeated string partitions = 7;
+  repeated string table_partition_dims = 7;
   bool collect_stat = 8;
   uint32 target_partitions = 9;
   oneof FileFormatType {
@@ -613,6 +613,7 @@ message ParquetScanExecNode {
   repeated uint32 projection = 6;
   ScanLimit limit = 7;
   Statistics statistics = 8;
+  repeated string table_partition_dims = 9;
 }
 
 message CsvScanExecNode {
@@ -624,6 +625,7 @@ message CsvScanExecNode {
   repeated uint32 projection = 6;
   ScanLimit limit = 7;
   Statistics statistics = 8;
+  repeated string table_partition_dims = 9;
 }
 
 message AvroScanExecNode {
@@ -633,6 +635,7 @@ message AvroScanExecNode {
   repeated uint32 projection = 6;
   ScanLimit limit = 7;
   Statistics statistics = 8;
+  repeated string table_partition_dims = 9;
 }
 
 enum PartitionMode {

ballista/rust/core/src/serde/logical_plan/from_proto.rs

@@ -166,7 +166,7 @@ impl TryInto<LogicalPlan> for &protobuf::LogicalPlanNode {
                 let options = ListingOptions {
                     file_extension: scan.file_extension.clone(),
                     format: file_format,
-                    partitions: scan.partitions.clone(),
+                    table_partition_dims: scan.table_partition_dims.clone(),
                     collect_stat: scan.collect_stat,
                     target_partitions: scan.target_partitions as usize,
                 };

ballista/rust/core/src/serde/logical_plan/to_proto.rs

@@ -735,7 +735,10 @@ impl TryInto<protobuf::LogicalPlanNode> for &LogicalPlan {
                                     .options()
                                     .file_extension
                                     .clone(),
-                                partitions: listing_table.options().partitions.clone(),
+                                table_partition_dims: listing_table
+                                    .options()
+                                    .table_partition_dims
+                                    .clone(),
                                 path: listing_table.table_path().to_owned(),
                                 schema: Some(schema),
                                 projection,

ballista/rust/core/src/serde/physical_plan/from_proto.rs

@@ -35,6 +35,7 @@ use datafusion::arrow::datatypes::{DataType, Schema, SchemaRef};
 use datafusion::catalog::catalog::{
     CatalogList, CatalogProvider, MemoryCatalogList, MemoryCatalogProvider,
 };
+use datafusion::datasource::file_format::PhysicalPlanConfig;
 use datafusion::datasource::object_store::local::LocalFileSystem;
 use datafusion::datasource::object_store::{FileMeta, ObjectStoreRegistry, SizedFile};
 use datafusion::datasource::PartitionedFile;
@@ -124,18 +125,22 @@ impl TryInto<Arc<dyn ExecutionPlan>> for &protobuf::PhysicalPlanNode {
                 let statistics = convert_required!(scan.statistics)?;
 
                 Ok(Arc::new(CsvExec::new(
-                    Arc::new(LocalFileSystem {}),
-                    scan.file_groups
-                        .iter()
-                        .map(|f| f.try_into())
-                        .collect::<Result<Vec<_>, _>>()?,
-                    statistics,
-                    schema,
+                    PhysicalPlanConfig {
+                        object_store: Arc::new(LocalFileSystem {}),
+                        file_schema: schema,
+                        file_groups: scan
+                            .file_groups
+                            .iter()
+                            .map(|f| f.try_into())
+                            .collect::<Result<Vec<_>, _>>()?,
+                        statistics,
+                        projection: Some(projection),
+                        batch_size: scan.batch_size as usize,
+                        limit: scan.limit.as_ref().map(|sl| sl.limit as usize),
+                        table_partition_dims: vec![],
+                    },
                     scan.has_header,
                     str_to_byte(&scan.delimiter)?,
-                    Some(projection),
-                    scan.batch_size as usize,
-                    scan.limit.as_ref().map(|sl| sl.limit as usize),
                 )))
             }
             PhysicalPlanType::ParquetScan(scan) => {
@@ -144,37 +149,43 @@ impl TryInto<Arc<dyn ExecutionPlan>> for &protobuf::PhysicalPlanNode {
                 let statistics = convert_required!(scan.statistics)?;
 
                 Ok(Arc::new(ParquetExec::new(
-                    Arc::new(LocalFileSystem {}),
-                    scan.file_groups
-                        .iter()
-                        .map(|p| p.try_into())
-                        .collect::<Result<Vec<_>, _>>()?,
-                    statistics,
-                    schema,
-                    Some(projection),
+                    PhysicalPlanConfig {
+                        object_store: Arc::new(LocalFileSystem {}),
+                        file_schema: schema,
+                        file_groups: scan
+                            .file_groups
+                            .iter()
+                            .map(|f| f.try_into())
+                            .collect::<Result<Vec<_>, _>>()?,
+                        statistics,
+                        projection: Some(projection),
+                        batch_size: scan.batch_size as usize,
+                        limit: scan.limit.as_ref().map(|sl| sl.limit as usize),
+                        table_partition_dims: scan.table_partition_dims.clone(),
+                    },
                     // TODO predicate should be de-serialized
                     None,
-                    scan.batch_size as usize,
-                    scan.limit.as_ref().map(|sl| sl.limit as usize),
                 )))
             }
             PhysicalPlanType::AvroScan(scan) => {
                 let schema = Arc::new(convert_required!(scan.schema)?);
                 let projection = scan.projection.iter().map(|i| *i as usize).collect();
                 let statistics = convert_required!(scan.statistics)?;
 
-                Ok(Arc::new(AvroExec::new(
-                    Arc::new(LocalFileSystem {}),
-                    scan.file_groups
+                Ok(Arc::new(AvroExec::new(PhysicalPlanConfig {
+                    object_store: Arc::new(LocalFileSystem {}),
+                    file_schema: schema,
+                    file_groups: scan
+                        .file_groups
                         .iter()
                         .map(|f| f.try_into())
                         .collect::<Result<Vec<_>, _>>()?,
                     statistics,
-                    schema,
-                    Some(projection),
-                    scan.batch_size as usize,
-                    scan.limit.as_ref().map(|sl| sl.limit as usize),
-                )))
+                    projection: Some(projection),
+                    batch_size: scan.batch_size as usize,
+                    limit: scan.limit.as_ref().map(|sl| sl.limit as usize),
+                    table_partition_dims: vec![],
+                })))
             }
             PhysicalPlanType::CoalesceBatches(coalesce_batches) => {
                 let input: Arc<dyn ExecutionPlan> =

ballista/rust/core/src/serde/physical_plan/to_proto.rs

@@ -272,6 +272,7 @@ impl TryInto<protobuf::PhysicalPlanNode> for Arc<dyn ExecutionPlan> {
                         has_header: exec.has_header(),
                         delimiter: byte_to_string(exec.delimiter())?,
                         batch_size: exec.batch_size() as u32,
+                        table_partition_dims: exec.table_partition_dims().to_vec(),
                     },
                 )),
             })
@@ -298,6 +299,7 @@ impl TryInto<protobuf::PhysicalPlanNode> for Arc<dyn ExecutionPlan> {
                             .map(|n| *n as u32)
                             .collect(),
                         batch_size: exec.batch_size() as u32,
+                        table_partition_dims: exec.table_partition_dims().to_vec(),
                     },
                 )),
             })
@@ -328,6 +330,7 @@ impl TryInto<protobuf::PhysicalPlanNode> for Arc<dyn ExecutionPlan> {
                             .collect(),
                         schema: Some(exec.file_schema().as_ref().into()),
                         batch_size: exec.batch_size() as u32,
+                        table_partition_dims: exec.table_partition_dims().to_vec(),
                     },
                 )),
             })

benchmarks/src/bin/tpch.rs

@@ -496,7 +496,7 @@ fn get_table(
         file_extension: extension.to_owned(),
         target_partitions,
         collect_stat: true,
-        partitions: vec![],
+        table_partition_dims: vec![],
     };
 
     Ok(Arc::new(ListingTable::new(

datafusion/src/datasource/file_format/avro.rs

@@ -29,6 +29,7 @@ use super::{FileFormat, PhysicalPlanConfig};
 use crate::avro_to_arrow::read_avro_schema_from_reader;
 use crate::datasource::object_store::{ObjectReader, ObjectReaderStream};
 use crate::error::Result;
+use crate::logical_plan::Expr;
 use crate::physical_plan::file_format::AvroExec;
 use crate::physical_plan::ExecutionPlan;
 use crate::physical_plan::Statistics;
@@ -61,16 +62,9 @@ impl FileFormat for AvroFormat {
     async fn create_physical_plan(
         &self,
         conf: PhysicalPlanConfig,
+        _filters: &[Expr],
     ) -> Result<Arc<dyn ExecutionPlan>> {
-        let exec = AvroExec::new(
-            conf.object_store,
-            conf.files,
-            conf.statistics,
-            conf.schema,
-            conf.projection,
-            conf.batch_size,
-            conf.limit,
-        );
+        let exec = AvroExec::new(conf);
         Ok(Arc::new(exec))
     }
 }
@@ -346,26 +340,29 @@ mod tests {
         let testdata = crate::test_util::arrow_test_data();
         let filename = format!("{}/avro/{}", testdata, file_name);
         let format = AvroFormat {};
-        let schema = format
+        let file_schema = format
             .infer_schema(local_object_reader_stream(vec![filename.clone()]))
             .await
             .expect("Schema inference");
         let statistics = format
             .infer_stats(local_object_reader(filename.clone()))
             .await
             .expect("Stats inference");
-        let files = vec![vec![local_unpartitioned_file(filename.to_owned())]];
+        let file_groups = vec![vec![local_unpartitioned_file(filename.to_owned())]];
         let exec = format
-            .create_physical_plan(PhysicalPlanConfig {
-                object_store: Arc::new(LocalFileSystem {}),
-                schema,
-                files,
-                statistics,
-                projection: projection.clone(),
-                batch_size,
-                filters: vec![],
-                limit,
-            })
+            .create_physical_plan(
+                PhysicalPlanConfig {
+                    object_store: Arc::new(LocalFileSystem {}),
+                    file_schema,
+                    file_groups,
+                    statistics,
+                    projection: projection.clone(),
+                    batch_size,
+                    limit,
+                    table_partition_dims: vec![],
+                },
+                &[],
+            )
             .await?;
         Ok(exec)
     }

datafusion/src/datasource/file_format/csv.rs

@@ -28,6 +28,7 @@ use futures::StreamExt;
 use super::{FileFormat, PhysicalPlanConfig};
 use crate::datasource::object_store::{ObjectReader, ObjectReaderStream};
 use crate::error::Result;
+use crate::logical_plan::Expr;
 use crate::physical_plan::file_format::CsvExec;
 use crate::physical_plan::ExecutionPlan;
 use crate::physical_plan::Statistics;
@@ -123,18 +124,9 @@ impl FileFormat for CsvFormat {
     async fn create_physical_plan(
         &self,
         conf: PhysicalPlanConfig,
+        _filters: &[Expr],
     ) -> Result<Arc<dyn ExecutionPlan>> {
-        let exec = CsvExec::new(
-            conf.object_store,
-            conf.files,
-            conf.statistics,
-            conf.schema,
-            self.has_header,
-            self.delimiter,
-            conf.projection,
-            conf.batch_size,
-            conf.limit,
-        );
+        let exec = CsvExec::new(conf, self.has_header, self.delimiter);
         Ok(Arc::new(exec))
     }
 }
@@ -260,26 +252,29 @@ mod tests {
         let testdata = crate::test_util::arrow_test_data();
         let filename = format!("{}/csv/{}", testdata, file_name);
         let format = CsvFormat::default();
-        let schema = format
+        let file_schema = format
             .infer_schema(local_object_reader_stream(vec![filename.clone()]))
             .await
             .expect("Schema inference");
         let statistics = format
             .infer_stats(local_object_reader(filename.clone()))
             .await
             .expect("Stats inference");
-        let files = vec![vec![local_unpartitioned_file(filename.to_owned())]];
+        let file_groups = vec![vec![local_unpartitioned_file(filename.to_owned())]];
         let exec = format
-            .create_physical_plan(PhysicalPlanConfig {
-                object_store: Arc::new(LocalFileSystem {}),
-                schema,
-                files,
-                statistics,
-                projection: projection.clone(),
-                batch_size,
-                filters: vec![],
-                limit,
-            })
+            .create_physical_plan(
+                PhysicalPlanConfig {
+                    object_store: Arc::new(LocalFileSystem {}),
+                    file_schema,
+                    file_groups,
+                    statistics,
+                    projection: projection.clone(),
+                    batch_size,
+                    limit,
+                    table_partition_dims: vec![],
+                },
+                &[],
+            )
             .await?;
         Ok(exec)
     }

datafusion/src/datasource/file_format/json.rs

@@ -32,6 +32,7 @@ use super::FileFormat;
 use super::PhysicalPlanConfig;
 use crate::datasource::object_store::{ObjectReader, ObjectReaderStream};
 use crate::error::Result;
+use crate::logical_plan::Expr;
 use crate::physical_plan::file_format::NdJsonExec;
 use crate::physical_plan::ExecutionPlan;
 use crate::physical_plan::Statistics;
@@ -93,16 +94,9 @@ impl FileFormat for JsonFormat {
     async fn create_physical_plan(
         &self,
         conf: PhysicalPlanConfig,
+        _filters: &[Expr],
     ) -> Result<Arc<dyn ExecutionPlan>> {
-        let exec = NdJsonExec::new(
-            conf.object_store,
-            conf.files,
-            conf.statistics,
-            conf.schema,
-            conf.projection,
-            conf.batch_size,
-            conf.limit,
-        );
+        let exec = NdJsonExec::new(conf);
         Ok(Arc::new(exec))
     }
 }
@@ -211,26 +205,29 @@ mod tests {
     ) -> Result<Arc<dyn ExecutionPlan>> {
         let filename = "tests/jsons/2.json";
         let format = JsonFormat::default();
-        let schema = format
+        let file_schema = format
             .infer_schema(local_object_reader_stream(vec![filename.to_owned()]))
             .await
             .expect("Schema inference");
         let statistics = format
             .infer_stats(local_object_reader(filename.to_owned()))
             .await
             .expect("Stats inference");
-        let files = vec![vec![local_unpartitioned_file(filename.to_owned())]];
+        let file_groups = vec![vec![local_unpartitioned_file(filename.to_owned())]];
         let exec = format
-            .create_physical_plan(PhysicalPlanConfig {
-                object_store: Arc::new(LocalFileSystem {}),
-                schema,
-                files,
-                statistics,
-                projection: projection.clone(),
-                batch_size,
-                filters: vec![],
-                limit,
-            })
+            .create_physical_plan(
+                PhysicalPlanConfig {
+                    object_store: Arc::new(LocalFileSystem {}),
+                    file_schema,
+                    file_groups,
+                    statistics,
+                    projection: projection.clone(),
+                    batch_size,
+                    limit,
+                    table_partition_dims: vec![],
+                },
+                &[],
+            )
             .await?;
         Ok(exec)
     }