[FEAT] connect: add alias support

Cargo.toml

@@ -194,11 +194,14 @@ chrono-tz = "0.8.4"
 comfy-table = "7.1.1"
 common-daft-config = {path = "src/common/daft-config"}
 common-error = {path = "src/common/error", default-features = false}
+daft-core = {path = "src/daft-core"}
+daft-dsl = {path = "src/daft-dsl"}
 daft-hash = {path = "src/daft-hash"}
 daft-local-execution = {path = "src/daft-local-execution"}
 daft-local-plan = {path = "src/daft-local-plan"}
 daft-logical-plan = {path = "src/daft-logical-plan"}
 daft-scan = {path = "src/daft-scan"}
+daft-schema = {path = "src/daft-schema"}
 daft-table = {path = "src/daft-table"}
 derivative = "2.2.0"
 derive_builder = "0.20.2"

src/daft-connect/Cargo.toml

@@ -2,10 +2,13 @@
 arrow2 = {workspace = true}
 async-stream = "0.3.6"
 common-daft-config = {workspace = true}
+daft-core = {workspace = true}
+daft-dsl = {workspace = true}
 daft-local-execution = {workspace = true}
 daft-local-plan = {workspace = true}
 daft-logical-plan = {workspace = true}
 daft-scan = {workspace = true}
+daft-schema = {workspace = true}
 daft-table = {workspace = true}
 dashmap = "6.1.0"
 eyre = "0.6.12"
@@ -19,7 +22,7 @@ tracing = {workspace = true}
 uuid = {version = "1.10.0", features = ["v4"]}
 
 [features]
-python = ["dep:pyo3", "common-daft-config/python", "daft-local-execution/python", "daft-local-plan/python", "daft-logical-plan/python", "daft-scan/python", "daft-table/python"]
+python = ["dep:pyo3", "common-daft-config/python", "daft-local-execution/python", "daft-local-plan/python", "daft-logical-plan/python", "daft-scan/python", "daft-table/python", "daft-dsl/python", "daft-schema/python", "daft-core/python"]
 
 [lints]
 workspace = true

src/daft-connect/src/lib.rs

@@ -22,7 +22,7 @@ use spark_connect::{
     ReleaseExecuteResponse, ReleaseSessionRequest, ReleaseSessionResponse,
 };
 use tonic::{transport::Server, Request, Response, Status};
-use tracing::info;
+use tracing::{debug, info};
 use uuid::Uuid;
 
 use crate::session::Session;
@@ -309,22 +309,22 @@ impl SparkConnectService for DaftSparkConnectService {
                     Ok(schema) => schema,
                     Err(e) => {
                         return invalid_argument_err!(
-                            "Failed to translate relation to schema: {e}"
+                            "Failed to translate relation to schema: {e:?}"
                         );
                     }
                 };
 
-                let schema = analyze_plan_response::DdlParse {
-                    parsed: Some(result),
+                let schema = analyze_plan_response::Schema {
+                    schema: Some(result),
                 };
 
                 let response = AnalyzePlanResponse {
                     session_id,
                     server_side_session_id: String::new(),
-                    result: Some(analyze_plan_response::Result::DdlParse(schema)),
+                    result: Some(analyze_plan_response::Result::Schema(schema)),
                 };
 
-                println!("response: {response:#?}");
+                debug!("response: {response:#?}");
 
                 Ok(Response::new(response))
             }

src/daft-connect/src/translation.rs

@@ -1,7 +1,13 @@
 //! Translation between Spark Connect and Daft
 
+mod datatype;
+mod expr;
+mod literal;
 mod logical_plan;
 mod schema;
 
+pub use datatype::to_spark_datatype;
+pub use expr::to_daft_expr;
+pub use literal::to_daft_literal;
 pub use logical_plan::to_logical_plan;
 pub use schema::relation_to_schema;

src/daft-connect/src/translation/datatype.rs

@@ -0,0 +1,114 @@
+use daft_schema::dtype::DataType;
+use spark_connect::data_type::Kind;
+use tracing::warn;
+
+pub fn to_spark_datatype(datatype: &DataType) -> spark_connect::DataType {
+    match datatype {
+        DataType::Null => spark_connect::DataType {
+            kind: Some(Kind::Null(spark_connect::data_type::Null {
+                type_variation_reference: 0,
+            })),
+        },
+        DataType::Boolean => spark_connect::DataType {
+            kind: Some(Kind::Boolean(spark_connect::data_type::Boolean {
+                type_variation_reference: 0,
+            })),
+        },
+        DataType::Int8 => spark_connect::DataType {
+            kind: Some(Kind::Byte(spark_connect::data_type::Byte {
+                type_variation_reference: 0,
+            })),
+        },
+        DataType::Int16 => spark_connect::DataType {
+            kind: Some(Kind::Short(spark_connect::data_type::Short {
+                type_variation_reference: 0,
+            })),
+        },
+        DataType::Int32 => spark_connect::DataType {
+            kind: Some(Kind::Integer(spark_connect::data_type::Integer {
+                type_variation_reference: 0,
+            })),
+        },
+        DataType::Int64 => spark_connect::DataType {
+            kind: Some(Kind::Long(spark_connect::data_type::Long {
+                type_variation_reference: 0,
+            })),
+        },
+        DataType::UInt8 => spark_connect::DataType {
+            kind: Some(Kind::Byte(spark_connect::data_type::Byte {
+                type_variation_reference: 0,
+            })),
+        },
+        DataType::UInt16 => spark_connect::DataType {
+            kind: Some(Kind::Short(spark_connect::data_type::Short {
+                type_variation_reference: 0,
+            })),
+        },
+        DataType::UInt32 => spark_connect::DataType {
+            kind: Some(Kind::Integer(spark_connect::data_type::Integer {
+                type_variation_reference: 0,
+            })),
+        },
+        DataType::UInt64 => spark_connect::DataType {
+            kind: Some(Kind::Long(spark_connect::data_type::Long {
+                type_variation_reference: 0,
+            })),
+        },
+        DataType::Float32 => spark_connect::DataType {
+            kind: Some(Kind::Float(spark_connect::data_type::Float {
+                type_variation_reference: 0,
+            })),
+        },
+        DataType::Float64 => spark_connect::DataType {
+            kind: Some(Kind::Double(spark_connect::data_type::Double {
+                type_variation_reference: 0,
+            })),
+        },
+        DataType::Decimal128(precision, scale) => spark_connect::DataType {
+            kind: Some(Kind::Decimal(spark_connect::data_type::Decimal {
+                scale: Some(*scale as i32),
+                precision: Some(*precision as i32),
+                type_variation_reference: 0,
+            })),
+        },
+        DataType::Timestamp(unit, _) => {
+            warn!("Ignoring time unit {unit:?} for timestamp type");
+            spark_connect::DataType {
+                kind: Some(Kind::Timestamp(spark_connect::data_type::Timestamp {
+                    type_variation_reference: 0,
+                })),
+            }
+        }
+        DataType::Date => spark_connect::DataType {
+            kind: Some(Kind::Date(spark_connect::data_type::Date {
+                type_variation_reference: 0,
+            })),
+        },
+        DataType::Binary => spark_connect::DataType {
+            kind: Some(Kind::Binary(spark_connect::data_type::Binary {
+                type_variation_reference: 0,
+            })),
+        },
+        DataType::Utf8 => spark_connect::DataType {
+            kind: Some(Kind::String(spark_connect::data_type::String {
+                type_variation_reference: 0,
+                collation: String::new(), // todo(correctness): is this correct?
+            })),
+        },
+        DataType::Struct(fields) => spark_connect::DataType {
+            kind: Some(Kind::Struct(spark_connect::data_type::Struct {
+                fields: fields
+                    .iter()
+                    .map(|f| spark_connect::data_type::StructField {
+                        name: f.name.clone(),
+                        data_type: Some(to_spark_datatype(&f.dtype)),
+                        nullable: true, // todo(correctness): is this correct?
+                        metadata: None,
+                    })
+                    .collect(),
+                type_variation_reference: 0,
+            })),
+        },
+        _ => unimplemented!("Unsupported datatype: {datatype:?}"),
+    }
+}

src/daft-connect/src/translation/expr.rs

@@ -0,0 +1,105 @@
+use std::sync::Arc;
+
+use eyre::{bail, Context};
+use spark_connect::{expression as spark_expr, Expression};
+use tracing::warn;
+use unresolved_function::unresolved_to_daft_expr;
+
+use crate::translation::to_daft_literal;
+
+mod unresolved_function;
+
+pub fn to_daft_expr(expression: Expression) -> eyre::Result<daft_dsl::ExprRef> {
+    if let Some(common) = expression.common {
+        warn!("Ignoring common metadata for relation: {common:?}; not yet implemented");
+    };
+
+    let Some(expr) = expression.expr_type else {
+        bail!("Expression is required");
+    };
+
+    match expr {
+        spark_expr::ExprType::Literal(l) => to_daft_literal(l),
+        spark_expr::ExprType::UnresolvedAttribute(attr) => {
+            let spark_expr::UnresolvedAttribute {
+                unparsed_identifier,
+                plan_id,
+                is_metadata_column,
+            } = attr;
+
+            if let Some(plan_id) = plan_id {
+                warn!("Ignoring plan_id {plan_id} for attribute expressions; not yet implemented");
+            }
+
+            if let Some(is_metadata_column) = is_metadata_column {
+                warn!("Ignoring is_metadata_column {is_metadata_column} for attribute expressions; not yet implemented");
+            }
+
+            Ok(daft_dsl::col(unparsed_identifier))
+        }
+        spark_expr::ExprType::UnresolvedFunction(f) => {
+            unresolved_to_daft_expr(f).wrap_err("Failed to handle unresolved function")
+        }
+        spark_expr::ExprType::ExpressionString(_) => bail!("Expression string not yet supported"),
+        spark_expr::ExprType::UnresolvedStar(_) => {
+            bail!("Unresolved star expressions not yet supported")
+        }
+        spark_expr::ExprType::Alias(alias) => {
+            let spark_expr::Alias {
+                expr,
+                name,
+                metadata,
+            } = *alias;
+
+            let Some(expr) = expr else {
+                bail!("Alias expr is required");
+            };
+
+            let [name] = name.as_slice() else {
+                bail!("Alias name is required and currently only works with a single string; got {name:?}");
+            };
+
+            if let Some(metadata) = metadata {
+                bail!("Alias metadata is not yet supported; got {metadata:?}");
+            }
+
+            let child = to_daft_expr(*expr)?;
+
+            let name = Arc::from(name.as_str());
+
+            Ok(child.alias(name))
+        }
+        spark_expr::ExprType::Cast(_) => bail!("Cast expressions not yet supported"),
+        spark_expr::ExprType::UnresolvedRegex(_) => {
+            bail!("Unresolved regex expressions not yet supported")
+        }
+        spark_expr::ExprType::SortOrder(_) => bail!("Sort order expressions not yet supported"),
+        spark_expr::ExprType::LambdaFunction(_) => {
+            bail!("Lambda function expressions not yet supported")
+        }
+        spark_expr::ExprType::Window(_) => bail!("Window expressions not yet supported"),
+        spark_expr::ExprType::UnresolvedExtractValue(_) => {
+            bail!("Unresolved extract value expressions not yet supported")
+        }
+        spark_expr::ExprType::UpdateFields(_) => {
+            bail!("Update fields expressions not yet supported")
+        }
+        spark_expr::ExprType::UnresolvedNamedLambdaVariable(_) => {
+            bail!("Unresolved named lambda variable expressions not yet supported")
+        }
+        spark_expr::ExprType::CommonInlineUserDefinedFunction(_) => {
+            bail!("Common inline user defined function expressions not yet supported")
+        }
+        spark_expr::ExprType::CallFunction(_) => {
+            bail!("Call function expressions not yet supported")
+        }
+        spark_expr::ExprType::NamedArgumentExpression(_) => {
+            bail!("Named argument expressions not yet supported")
+        }
+        spark_expr::ExprType::MergeAction(_) => bail!("Merge action expressions not yet supported"),
+        spark_expr::ExprType::TypedAggregateExpression(_) => {
+            bail!("Typed aggregate expressions not yet supported")
+        }
+        spark_expr::ExprType::Extension(_) => bail!("Extension expressions not yet supported"),
+    }
+}

src/daft-connect/src/translation/expr/unresolved_function.rs

@@ -0,0 +1,44 @@
+use daft_core::count_mode::CountMode;
+use eyre::{bail, Context};
+use spark_connect::expression::UnresolvedFunction;
+
+use crate::translation::to_daft_expr;
+
+pub fn unresolved_to_daft_expr(f: UnresolvedFunction) -> eyre::Result<daft_dsl::ExprRef> {
+    let UnresolvedFunction {
+        function_name,
+        arguments,
+        is_distinct,
+        is_user_defined_function,
+    } = f;
+
+    let arguments: Vec<_> = arguments.into_iter().map(to_daft_expr).try_collect()?;
+
+    if is_distinct {
+        bail!("Distinct not yet supported");
+    }
+
+    if is_user_defined_function {
+        bail!("User-defined functions not yet supported");
+    }
+
+    match function_name.as_str() {
+        "count" => handle_count(arguments).wrap_err("Failed to handle count function"),
+        n => bail!("Unresolved function {n} not yet supported"),
+    }
+}
+
+pub fn handle_count(arguments: Vec<daft_dsl::ExprRef>) -> eyre::Result<daft_dsl::ExprRef> {
+    let arguments: [daft_dsl::ExprRef; 1] = match arguments.try_into() {
+        Ok(arguments) => arguments,
+        Err(arguments) => {
+            bail!("requires exactly one argument; got {arguments:?}");
+        }
+    };
+
+    let [arg] = arguments;
+
+    let count = arg.count(CountMode::All);
+
+    Ok(count)
+}