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// Copyright 2018 Grove Enterprises LLC
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
use std::cell::RefCell;
use std::collections::HashMap;
use std::rc::Rc;
use std::sync::Arc;
use arrow::datatypes::{Field, Schema};
use super::super::dfparser::{DFASTNode, DFParser};
use super::super::logicalplan::*;
use super::super::sqlplanner::{SchemaProvider, SqlToRel};
use super::datasource::DataSource;
use super::error::{ExecutionError, Result};
use super::expression::*;
use super::filter::FilterRelation;
use super::projection::ProjectRelation;
use super::relation::{DataSourceRelation, Relation};
pub struct ExecutionContext {
datasources: Rc<RefCell<HashMap<String, Rc<RefCell<DataSource>>>>>,
}
impl ExecutionContext {
pub fn new() -> Self {
Self {
datasources: Rc::new(RefCell::new(HashMap::new())),
}
}
pub fn sql(&mut self, sql: &str) -> Result<Rc<RefCell<Relation>>> {
let ast = DFParser::parse_sql(String::from(sql))?;
match ast {
// DFASTNode::CreateExternalTable {
// name,
// columns,
// file_type,
// header_row,
// location,
// } => {
// let fields: Vec<Field> = columns
// .iter()
// .map(|c| Field::new(&c.name, convert_data_type(&c.data_type), c.allow_null))
// .collect();
// let schema = Schema::new(fields);
//
// let df = match file_type {
// FileType::CSV => self.load_csv(&location, &schema, header_row, None)?,
// FileType::NdJson => self.load_ndjson(&location, &schema, None)?,
// FileType::Parquet => self.load_parquet(&location, None)?,
// };
//
// self.register(&name, df);
//
// //TODO: not sure what to return here
// Ok(Rc::new(DF::new(
// self.clone(),
// Rc::new(LogicalPlan::EmptyRelation {
// schema: Rc::new(Schema::empty()),
// }),
// )))
// }
DFASTNode::ANSI(ansi) => {
let schema_provider: Rc<SchemaProvider> = Rc::new(ExecutionContextSchemaProvider {
datasources: self.datasources.clone(),
});
// create a query planner
let query_planner = SqlToRel::new(schema_provider);
// plan the query (create a logical relational plan)
let plan = query_planner.sql_to_rel(&ansi)?;
//println!("Logical plan: {:?}", plan);
let optimized_plan = plan; //push_down_projection(&plan, &HashSet::new());
//println!("Optimized logical plan: {:?}", new_plan);
let relation = self.execute(&optimized_plan)?;
Ok(relation)
}
_ => unimplemented!(),
}
}
pub fn register_datasource(&mut self, name: &str, ds: Rc<RefCell<DataSource>>) {
self.datasources.borrow_mut().insert(name.to_string(), ds);
}
pub fn execute(&mut self, plan: &LogicalPlan) -> Result<Rc<RefCell<Relation>>> {
println!("Logical plan: {:?}", plan);
match *plan {
// LogicalPlan::EmptyRelation { .. } => Ok(Box::new(DataSourceRelation {
// schema: Schema::new(vec![]),
// ds: Rc::new(RefCell::new(EmptyRelation::new())),
// })),
//
// LogicalPlan::Sort { .. } => unimplemented!(),
LogicalPlan::TableScan { ref table_name, .. } => {
match self.datasources.borrow().get(table_name) {
Some(ds) => {
//TODO: projection
Ok(Rc::new(RefCell::new(DataSourceRelation::new(ds.clone()))))
}
_ => Err(ExecutionError::General(format!(
"No table registered as '{}'",
table_name
))),
}
//println!("TableScan: {}", table_name);
// match self.tables.borrow().get(table_name) {
// Some(df) => match projection {
// Some(p) => {
//// let mut h: HashSet<usize> = HashSet::new();
//// p.iter().for_each(|i| {
//// h.insert(*i);
//// });
//// self.create_execution_plan(&push_down_projection(df.plan(), &h))
// unimplemented!()
// }
// None => self.create_execution_plan(df.plan()),
// },
// _ => Err(ExecutionError::General(format!(
// "No table registered as '{}'",
// table_name
// ))),
// }
}
// LogicalPlan::CsvFile {
// ref filename,
// ref schema,
// ref has_header,
// ref projection,
// } => {
// let file = File::open(filename)?;
// let ds = Rc::new(RefCell::new(CsvFile::open(
// file,
// schema.clone(),
// *has_header,
// projection.clone(),
// )?)) as Rc<RefCell<DataSource>>;
// Ok(Box::new(DataSourceRelation {
// schema: schema.as_ref().clone(),
// ds,
// }))
// }
//
// LogicalPlan::NdJsonFile {
// ref filename,
// ref schema,
// ref projection,
// } => {
// let file = File::open(filename)?;
// let ds = Rc::new(RefCell::new(NdJsonFile::open(
// file,
// schema.clone(),
// projection.clone(),
// )?)) as Rc<RefCell<DataSource>>;
// Ok(Box::new(DataSourceRelation {
// schema: schema.as_ref().clone(),
// ds,
// }))
// }
//
// LogicalPlan::ParquetFile {
// ref filename,
// ref schema,
// ref projection,
// } => {
// let file = File::open(filename)?;
// let ds = Rc::new(RefCell::new(ParquetFile::open(file, projection.clone())?))
// as Rc<RefCell<DataSource>>;
// Ok(Box::new(DataSourceRelation {
// schema: schema.as_ref().clone(),
// ds,
// }))
// }
//
LogicalPlan::Selection {
ref expr,
ref input,
} => {
let input_rel = self.execute(input)?;
let input_schema = input_rel.as_ref().borrow().schema().clone();
let runtime_expr = compile_scalar_expr(&self, expr, &input_schema)?;
let rel = FilterRelation::new(
input_rel,
runtime_expr, /*.get_func().clone()*/
input_schema,
);
Ok(Rc::new(RefCell::new(rel)))
}
LogicalPlan::Projection {
ref expr,
ref input,
..
} => {
let input_rel = self.execute(input)?;
let input_schema = input_rel.as_ref().borrow().schema().clone();
let project_columns: Vec<Field> = exprlist_to_fields(&expr, &input_schema);
let project_schema = Arc::new(Schema::new(project_columns));
let compiled_expr: Result<Vec<RuntimeExpr>> = expr
.iter()
.map(|e| compile_scalar_expr(&self, e, &input_schema))
.collect();
let rel = ProjectRelation::new(input_rel, compiled_expr?, project_schema);
Ok(Rc::new(RefCell::new(rel)))
}
// LogicalPlan::Aggregate {
// ref input,
// ref group_expr,
// ref aggr_expr,
// ..
// } => {
// let input_rel = self.create_execution_plan(&input)?;
//
// let compiled_group_expr_result: Result<Vec<RuntimeExpr>> = group_expr
// .iter()
// .map(|e| compile_scalar_expr(&self, e, input_rel.schema()))
// .collect();
// let compiled_group_expr = compiled_group_expr_result?;
//
// let compiled_aggr_expr_result: Result<Vec<RuntimeExpr>> = aggr_expr
// .iter()
// .map(|e| compile_expr(&self, e, input.schema()))
// .collect();
// let compiled_aggr_expr = compiled_aggr_expr_result?;
//
// let rel = AggregateRelation::new(
// Rc::new(Schema::empty()), //(expr_to_field(&compiled_group_expr, &input_schema))),
// input_rel,
// compiled_group_expr,
// compiled_aggr_expr,
// );
//
// Ok(Box::new(rel))
// }
//LogicalPlan::Sort { .. /*ref expr, ref input, ref schema*/ } => {
// let input_rel = self.create_execution_plan(data_dir, input)?;
//
// let compiled_expr : Result<Vec<CompiledExpr>> = expr.iter()
// .map(|e| compile_expr(&self,e))
// .collect();
//
// let sort_asc : Vec<bool> = expr.iter()
// .map(|e| match e {
// &Expr::Sort { asc, .. } => asc,
// _ => panic!()
// })
// .collect();
//
// let rel = SortRelation {
// input: input_rel,
// sort_expr: compiled_expr?,
// sort_asc: sort_asc,
// schema: schema.clone()
// };
// Ok(Box::new(rel))
// },
//}
// LogicalPlan::Limit {
// limit,
// ref input,
// ref schema,
// ..
// } => {
// let input_rel = self.create_execution_plan(input)?;
// let rel = LimitRelation::new(schema.clone(), input_rel, limit);
// Ok(Box::new(rel))
// }
_ => unimplemented!(),
}
}
}
#[derive(Debug, Clone)]
pub enum ExecutionResult {
Unit,
Count(usize),
Str(String),
}
pub fn expr_to_field(e: &Expr, input_schema: &Schema) -> Field {
match e {
Expr::Column(i) => input_schema.fields()[*i].clone(),
Expr::Literal(ref lit) => Field::new("lit", lit.get_datatype(), true),
Expr::ScalarFunction {
ref name,
ref return_type,
..
} => Field::new(&name, return_type.clone(), true),
Expr::AggregateFunction {
ref name,
ref return_type,
..
} => Field::new(&name, return_type.clone(), true),
Expr::Cast { ref data_type, .. } => Field::new("cast", data_type.clone(), true),
Expr::BinaryExpr {
ref left,
ref right,
..
} => {
let left_type = left.get_type(input_schema);
let right_type = right.get_type(input_schema);
Field::new(
"binary_expr",
get_supertype(&left_type, &right_type).unwrap(),
true,
)
}
_ => unimplemented!("Cannot determine schema type for expression {:?}", e),
}
}
pub fn exprlist_to_fields(expr: &Vec<Expr>, input_schema: &Schema) -> Vec<Field> {
expr.iter()
.map(|e| expr_to_field(e, input_schema))
.collect()
}
struct ExecutionContextSchemaProvider {
datasources: Rc<RefCell<HashMap<String, Rc<RefCell<DataSource>>>>>,
}
impl SchemaProvider for ExecutionContextSchemaProvider {
fn get_table_meta(&self, name: &str) -> Option<Arc<Schema>> {
match self.datasources.borrow().get(name) {
Some(ds) => Some(ds.borrow().schema().clone()),
None => None,
}
}
fn get_function_meta(&self, _name: &str) -> Option<Arc<FunctionMeta>> {
unimplemented!()
}
}