Initial MemoryManager and DiskManager APIs for query execution + External Sort implementation

ballista/rust/core/src/execution_plans/distributed_query.rs

@@ -39,6 +39,7 @@ use datafusion::physical_plan::{
 };
 
 use async_trait::async_trait;
+use datafusion::execution::runtime_env::RuntimeEnv;
 use futures::future;
 use futures::StreamExt;
 use log::{error, info};
@@ -99,7 +100,8 @@ impl ExecutionPlan for DistributedQueryExec {
     async fn execute(
         &self,
         partition: usize,
-    ) -> datafusion::error::Result<SendableRecordBatchStream> {
+        _runtime: Arc<RuntimeEnv>,
+    ) -> Result<SendableRecordBatchStream> {
         assert_eq!(0, partition);
 
         info!("Connecting to Ballista scheduler at {}", self.scheduler_url);

ballista/rust/core/src/execution_plans/shuffle_reader.rs

@@ -28,11 +28,13 @@ use async_trait::async_trait;
 use datafusion::arrow::datatypes::SchemaRef;
 use datafusion::arrow::error::Result as ArrowResult;
 use datafusion::arrow::record_batch::RecordBatch;
+use datafusion::execution::runtime_env::RuntimeEnv;
 use datafusion::physical_plan::metrics::{
     ExecutionPlanMetricsSet, MetricBuilder, MetricsSet,
 };
 use datafusion::physical_plan::{
-    DisplayFormatType, ExecutionPlan, Metric, Partitioning, Statistics,
+    DisplayFormatType, ExecutionPlan, Metric, Partitioning, SendableRecordBatchStream,
+    Statistics,
 };
 use datafusion::{
     error::{DataFusionError, Result},
@@ -100,7 +102,8 @@ impl ExecutionPlan for ShuffleReaderExec {
     async fn execute(
         &self,
         partition: usize,
-    ) -> Result<Pin<Box<dyn RecordBatchStream + Send + Sync>>> {
+        _runtime: Arc<RuntimeEnv>,
+    ) -> Result<SendableRecordBatchStream> {
         info!("ShuffleReaderExec::execute({})", partition);
 
         let fetch_time =

ballista/rust/core/src/execution_plans/shuffle_writer.rs

@@ -44,14 +44,17 @@ use datafusion::arrow::ipc::reader::FileReader;
 use datafusion::arrow::ipc::writer::FileWriter;
 use datafusion::arrow::record_batch::RecordBatch;
 use datafusion::error::{DataFusionError, Result};
+use datafusion::execution::runtime_env::RuntimeEnv;
+use datafusion::physical_plan::common::IPCWriter;
 use datafusion::physical_plan::hash_utils::create_hashes;
 use datafusion::physical_plan::metrics::{
     self, ExecutionPlanMetricsSet, MetricBuilder, MetricsSet,
 };
 use datafusion::physical_plan::repartition::RepartitionExec;
 use datafusion::physical_plan::Partitioning::RoundRobinBatch;
 use datafusion::physical_plan::{
-    DisplayFormatType, ExecutionPlan, Metric, Partitioning, RecordBatchStream, Statistics,
+    DisplayFormatType, ExecutionPlan, Metric, Partitioning, RecordBatchStream,
+    SendableRecordBatchStream, Statistics,
 };
 use futures::StreamExt;
 use hashbrown::HashMap;
@@ -139,10 +142,11 @@ impl ShuffleWriterExec {
     pub async fn execute_shuffle_write(
         &self,
         input_partition: usize,
+        runtime: Arc<RuntimeEnv>,
     ) -> Result<Vec<ShuffleWritePartition>> {
         let now = Instant::now();
 
-        let mut stream = self.plan.execute(input_partition).await?;
+        let mut stream = self.plan.execute(input_partition, runtime).await?;
 
         let mut path = PathBuf::from(&self.work_dir);
         path.push(&self.job_id);
@@ -197,7 +201,7 @@ impl ShuffleWriterExec {
 
                 // we won't necessary produce output for every possible partition, so we
                 // create writers on demand
-                let mut writers: Vec<Option<ShuffleWriter>> = vec![];
+                let mut writers: Vec<Option<IPCWriter>> = vec![];
                 for _ in 0..num_output_partitions {
                     writers.push(None);
                 }
@@ -265,7 +269,7 @@ impl ShuffleWriterExec {
                                 info!("Writing results to {}", path);
 
                                 let mut writer =
-                                    ShuffleWriter::new(path, stream.schema().as_ref())?;
+                                    IPCWriter::new(path, stream.schema().as_ref())?;
 
                                 writer.write(&output_batch)?;
                                 writers[output_partition] = Some(writer);
@@ -350,9 +354,10 @@ impl ExecutionPlan for ShuffleWriterExec {
 
     async fn execute(
         &self,
-        input_partition: usize,
-    ) -> Result<Pin<Box<dyn RecordBatchStream + Send + Sync>>> {
-        let part_loc = self.execute_shuffle_write(input_partition).await?;
+        partition: usize,
+        runtime: Arc<RuntimeEnv>,
+    ) -> Result<SendableRecordBatchStream> {
+        let part_loc = self.execute_shuffle_write(partition, runtime).await?;
 
         // build metadata result batch
         let num_writers = part_loc.len();
@@ -432,55 +437,6 @@ fn result_schema() -> SchemaRef {
     ]))
 }
 
-struct ShuffleWriter {
-    path: String,
-    writer: FileWriter<File>,
-    num_batches: u64,
-    num_rows: u64,
-    num_bytes: u64,
-}
-
-impl ShuffleWriter {
-    fn new(path: &str, schema: &Schema) -> Result<Self> {
-        let file = File::create(path)
-            .map_err(|e| {
-                BallistaError::General(format!(
-                    "Failed to create partition file at {}: {:?}",
-                    path, e
-                ))
-            })
-            .map_err(|e| DataFusionError::Execution(format!("{:?}", e)))?;
-        Ok(Self {
-            num_batches: 0,
-            num_rows: 0,
-            num_bytes: 0,
-            path: path.to_owned(),
-            writer: FileWriter::try_new(file, schema)?,
-        })
-    }
-
-    fn write(&mut self, batch: &RecordBatch) -> Result<()> {
-        self.writer.write(batch)?;
-        self.num_batches += 1;
-        self.num_rows += batch.num_rows() as u64;
-        let num_bytes: usize = batch
-            .columns()
-            .iter()
-            .map(|array| array.get_array_memory_size())
-            .sum();
-        self.num_bytes += num_bytes as u64;
-        Ok(())
-    }
-
-    fn finish(&mut self) -> Result<()> {
-        self.writer.finish().map_err(DataFusionError::ArrowError)
-    }
-
-    fn path(&self) -> &str {
-        &self.path
-    }
-}
-
 #[cfg(test)]
 mod tests {
     use super::*;
@@ -493,6 +449,8 @@ mod tests {
 
     #[tokio::test]
     async fn test() -> Result<()> {
+        let runtime = Arc::new(RuntimeEnv::default());
+
         let input_plan = Arc::new(CoalescePartitionsExec::new(create_input_plan()?));
         let work_dir = TempDir::new()?;
         let query_stage = ShuffleWriterExec::try_new(
@@ -502,7 +460,7 @@ mod tests {
             work_dir.into_path().to_str().unwrap().to_owned(),
             Some(Partitioning::Hash(vec![Arc::new(Column::new("a", 0))], 2)),
         )?;
-        let mut stream = query_stage.execute(0).await?;
+        let mut stream = query_stage.execute(0, runtime).await?;
         let batches = utils::collect_stream(&mut stream)
             .await
             .map_err(|e| DataFusionError::Execution(format!("{:?}", e)))?;
@@ -545,6 +503,8 @@ mod tests {
 
     #[tokio::test]
     async fn test_partitioned() -> Result<()> {
+        let runtime = Arc::new(RuntimeEnv::default());
+
         let input_plan = create_input_plan()?;
         let work_dir = TempDir::new()?;
         let query_stage = ShuffleWriterExec::try_new(
@@ -554,7 +514,7 @@ mod tests {
             work_dir.into_path().to_str().unwrap().to_owned(),
             Some(Partitioning::Hash(vec![Arc::new(Column::new("a", 0))], 2)),
         )?;
-        let mut stream = query_stage.execute(0).await?;
+        let mut stream = query_stage.execute(0, runtime).await?;
         let batches = utils::collect_stream(&mut stream)
             .await
             .map_err(|e| DataFusionError::Execution(format!("{:?}", e)))?;

ballista/rust/core/src/execution_plans/unresolved_shuffle.rs

@@ -23,8 +23,9 @@ use crate::serde::scheduler::PartitionLocation;
 
 use async_trait::async_trait;
 use datafusion::arrow::datatypes::SchemaRef;
+use datafusion::execution::runtime_env::RuntimeEnv;
 use datafusion::physical_plan::{
-    DisplayFormatType, ExecutionPlan, Partitioning, Statistics,
+    DisplayFormatType, ExecutionPlan, Partitioning, SendableRecordBatchStream, Statistics,
 };
 use datafusion::{
     error::{DataFusionError, Result},
@@ -102,7 +103,8 @@ impl ExecutionPlan for UnresolvedShuffleExec {
     async fn execute(
         &self,
         _partition: usize,
-    ) -> Result<Pin<Box<dyn RecordBatchStream + Send + Sync>>> {
+        _runtime: Arc<RuntimeEnv>,
+    ) -> Result<SendableRecordBatchStream> {
         Err(DataFusionError::Plan(
             "Ballista UnresolvedShuffleExec does not support execution".to_owned(),
         ))

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

@@ -41,6 +41,7 @@ use datafusion::datasource::PartitionedFile;
 use datafusion::execution::context::{
     ExecutionConfig, ExecutionContextState, ExecutionProps,
 };
+use datafusion::execution::runtime_env::RuntimeEnv;
 use datafusion::logical_plan::{
     window_frames::WindowFrame, DFSchema, Expr, JoinConstraint, JoinType,
 };
@@ -53,6 +54,7 @@ use datafusion::physical_plan::hash_aggregate::{AggregateMode, HashAggregateExec
 use datafusion::physical_plan::hash_join::PartitionMode;
 use datafusion::physical_plan::metrics::ExecutionPlanMetricsSet;
 use datafusion::physical_plan::planner::DefaultPhysicalPlanner;
+use datafusion::physical_plan::sorts::sort::{SortExec, SortOptions};
 use datafusion::physical_plan::window_functions::{
     BuiltInWindowFunction, WindowFunction,
 };
@@ -72,7 +74,6 @@ use datafusion::physical_plan::{
     limit::{GlobalLimitExec, LocalLimitExec},
     projection::ProjectionExec,
     repartition::RepartitionExec,
-    sort::{SortExec, SortOptions},
     Partitioning,
 };
 use datafusion::physical_plan::{
@@ -626,6 +627,7 @@ impl TryFrom<&protobuf::PhysicalExprNode> for Arc<dyn PhysicalExpr> {
                     config: ExecutionConfig::new(),
                     execution_props: ExecutionProps::new(),
                     object_store_registry: Arc::new(ObjectStoreRegistry::new()),
+                    runtime_env: Arc::new(RuntimeEnv::default()),
                 };
 
                 let fun_expr = functions::create_physical_fun(

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

@@ -22,6 +22,7 @@ pub mod to_proto;
 mod roundtrip_tests {
     use std::{convert::TryInto, sync::Arc};
 
+    use datafusion::physical_plan::sorts::sort::SortExec;
     use datafusion::{
         arrow::{
             compute::kernels::sort::SortOptions,
@@ -36,7 +37,6 @@ mod roundtrip_tests {
             hash_aggregate::{AggregateMode, HashAggregateExec},
             hash_join::{HashJoinExec, PartitionMode},
             limit::{GlobalLimitExec, LocalLimitExec},
-            sort::SortExec,
             AggregateExpr, ColumnarValue, Distribution, ExecutionPlan, Partitioning,
             PhysicalExpr,
         },

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

@@ -29,7 +29,7 @@ use std::{
 use datafusion::physical_plan::hash_join::{HashJoinExec, PartitionMode};
 use datafusion::physical_plan::limit::{GlobalLimitExec, LocalLimitExec};
 use datafusion::physical_plan::projection::ProjectionExec;
-use datafusion::physical_plan::sort::SortExec;
+use datafusion::physical_plan::sorts::sort::SortExec;
 use datafusion::physical_plan::{cross_join::CrossJoinExec, ColumnStatistics};
 use datafusion::physical_plan::{
     expressions::{

ballista/rust/core/src/utils.rs

@@ -52,14 +52,15 @@ use datafusion::physical_optimizer::merge_exec::AddCoalescePartitionsExec;
 use datafusion::physical_optimizer::optimizer::PhysicalOptimizerRule;
 use datafusion::physical_plan::coalesce_batches::CoalesceBatchesExec;
 use datafusion::physical_plan::coalesce_partitions::CoalescePartitionsExec;
+use datafusion::physical_plan::common::batch_byte_size;
 use datafusion::physical_plan::empty::EmptyExec;
 use datafusion::physical_plan::expressions::{BinaryExpr, Column, Literal};
 use datafusion::physical_plan::file_format::{CsvExec, ParquetExec};
 use datafusion::physical_plan::filter::FilterExec;
 use datafusion::physical_plan::hash_aggregate::HashAggregateExec;
 use datafusion::physical_plan::hash_join::HashJoinExec;
 use datafusion::physical_plan::projection::ProjectionExec;
-use datafusion::physical_plan::sort::SortExec;
+use datafusion::physical_plan::sorts::sort::SortExec;
 use datafusion::physical_plan::{
     metrics, AggregateExpr, ExecutionPlan, Metric, PhysicalExpr, RecordBatchStream,
 };
@@ -88,11 +89,7 @@ pub async fn write_stream_to_disk(
     while let Some(result) = stream.next().await {
         let batch = result?;
 
-        let batch_size_bytes: usize = batch
-            .columns()
-            .iter()
-            .map(|array| array.get_array_memory_size())
-            .sum();
+        let batch_size_bytes: usize = batch_byte_size(&batch);
         num_batches += 1;
         num_rows += batch.num_rows();
         num_bytes += batch_size_bytes;

ballista/rust/executor/src/collect.rs

@@ -27,6 +27,7 @@ use datafusion::arrow::{
     datatypes::SchemaRef, error::Result as ArrowResult, record_batch::RecordBatch,
 };
 use datafusion::error::DataFusionError;
+use datafusion::execution::runtime_env::RuntimeEnv;
 use datafusion::physical_plan::{
     DisplayFormatType, ExecutionPlan, Partitioning, SendableRecordBatchStream, Statistics,
 };
@@ -75,11 +76,12 @@ impl ExecutionPlan for CollectExec {
     async fn execute(
         &self,
         partition: usize,
-    ) -> Result<Pin<Box<dyn RecordBatchStream + Send + Sync>>> {
+        runtime: Arc<RuntimeEnv>,
+    ) -> Result<SendableRecordBatchStream> {
         assert_eq!(0, partition);
         let num_partitions = self.plan.output_partitioning().partition_count();
 
-        let futures = (0..num_partitions).map(|i| self.plan.execute(i));
+        let futures = (0..num_partitions).map(|i| self.plan.execute(i, runtime.clone()));
         let streams = futures::future::join_all(futures)
             .await
             .into_iter()

ballista/rust/executor/src/executor.rs

@@ -23,6 +23,7 @@ use ballista_core::error::BallistaError;
 use ballista_core::execution_plans::ShuffleWriterExec;
 use ballista_core::serde::protobuf;
 use datafusion::error::DataFusionError;
+use datafusion::execution::runtime_env::{RuntimeConfig, RuntimeEnv};
 use datafusion::physical_plan::display::DisplayableExecutionPlan;
 use datafusion::physical_plan::{ExecutionPlan, Partitioning};
 
@@ -71,7 +72,11 @@ impl Executor {
             ))
         }?;
 
-        let partitions = exec.execute_shuffle_write(part).await?;
+        let runtime_config =
+            RuntimeConfig::new().with_local_dirs(vec![self.work_dir.clone()]);
+        let runtime = Arc::new(RuntimeEnv::new(runtime_config)?);
+
+        let partitions = exec.execute_shuffle_write(part, runtime).await?;
 
         println!(
             "=== [{}/{}/{}] Physical plan with metrics ===\n{}\n",

ballista/rust/scheduler/src/planner.rs

@@ -254,7 +254,7 @@ mod test {
     use datafusion::physical_plan::coalesce_batches::CoalesceBatchesExec;
     use datafusion::physical_plan::hash_aggregate::{AggregateMode, HashAggregateExec};
     use datafusion::physical_plan::hash_join::HashJoinExec;
-    use datafusion::physical_plan::sort::SortExec;
+    use datafusion::physical_plan::sorts::sort::SortExec;
     use datafusion::physical_plan::{
         coalesce_partitions::CoalescePartitionsExec, projection::ProjectionExec,
     };

benchmarks/src/bin/nyctaxi.rs

@@ -116,13 +116,14 @@ async fn datafusion_sql_benchmarks(
 }
 
 async fn execute_sql(ctx: &mut ExecutionContext, sql: &str, debug: bool) -> Result<()> {
+    let runtime = ctx.state.lock().unwrap().runtime_env.clone();
     let plan = ctx.create_logical_plan(sql)?;
     let plan = ctx.optimize(&plan)?;
     if debug {
         println!("Optimized logical plan:\n{:?}", plan);
     }
     let physical_plan = ctx.create_physical_plan(&plan).await?;
-    let result = collect(physical_plan).await?;
+    let result = collect(physical_plan, runtime).await?;
     if debug {
         pretty::print_batches(&result)?;
     }