[FEAT] connect: createDataFrame

Cargo.toml

@@ -200,6 +200,7 @@ daft-dsl = {path = "src/daft-dsl"}
 daft-hash = {path = "src/daft-hash"}
 daft-local-execution = {path = "src/daft-local-execution"}
 daft-logical-plan = {path = "src/daft-logical-plan"}
+daft-micropartition = {path = "src/daft-micropartition"}
 daft-scan = {path = "src/daft-scan"}
 daft-schema = {path = "src/daft-schema"}
 daft-table = {path = "src/daft-table"}

daft/dataframe/dataframe.py

@@ -63,6 +63,34 @@
 ManyColumnsInputType = Union[ColumnInputType, Iterable[ColumnInputType]]
 
 
+def to_logical_plan_builder(*parts: MicroPartition) -> LogicalPlanBuilder:
+    """Creates a Daft DataFrame from a single Table.
+
+    Args:
+        parts: The Tables that we wish to convert into a Daft DataFrame.
+
+    Returns:
+        DataFrame: Daft DataFrame created from the provided Table.
+    """
+    if not parts:
+        raise ValueError("Can't create a DataFrame from an empty list of tables.")
+
+    result_pset = LocalPartitionSet()
+
+    for i, part in enumerate(parts):
+        result_pset.set_partition_from_table(i, part)
+
+    context = get_context()
+    cache_entry = context.get_or_create_runner().put_partition_set_into_cache(result_pset)
+    size_bytes = result_pset.size_bytes()
+    num_rows = len(result_pset)
+
+    assert size_bytes is not None, "In-memory data should always have non-None size in bytes"
+    return LogicalPlanBuilder.from_in_memory_scan(
+        cache_entry, parts[0].schema(), result_pset.num_partitions(), size_bytes, num_rows=num_rows
+    )
+
+
 class DataFrame:
     """A Daft DataFrame is a table of data. It has columns, where each column has a type and the same
     number of items (rows) as all other columns.

src/arrow2/src/io/ipc/read/common.rs

@@ -87,7 +87,7 @@ pub fn read_record_batch<R: Read + Seek>(
     file_size: u64,
     scratch: &mut Vec<u8>,
 ) -> Result<Chunk<Box<dyn Array>>> {
-    assert_eq!(fields.len(), ipc_schema.fields.len());
+    assert_eq!(fields.len(), ipc_schema.fields.len(), "IPC schema fields and Arrow schema fields must be the same length");
     let buffers = batch
         .buffers()
         .map_err(|err| Error::from(OutOfSpecKind::InvalidFlatbufferBuffers(err)))?

src/arrow2/src/io/ipc/read/mod.rs

@@ -42,4 +42,4 @@ pub type Dictionaries = AHashMap<i64, Box<dyn Array>>;
 pub(crate) type Node<'a> = arrow_format::ipc::FieldNodeRef<'a>;
 pub(crate) type IpcBuffer<'a> = arrow_format::ipc::BufferRef<'a>;
 pub(crate) type Compression<'a> = arrow_format::ipc::BodyCompressionRef<'a>;
-pub(crate) type Version = arrow_format::ipc::MetadataVersion;
+pub type Version = arrow_format::ipc::MetadataVersion;

src/daft-connect/Cargo.toml

@@ -1,26 +1,31 @@
 [dependencies]
-arrow2 = {workspace = true}
+arrow2 = {workspace = true, features = ["io_json_integration"]}
 async-stream = "0.3.6"
+color-eyre = "0.6.3"
 common-daft-config = {workspace = true}
 daft-core = {workspace = true}
 daft-dsl = {workspace = true}
 daft-local-execution = {workspace = true}
 daft-logical-plan = {workspace = true}
+daft-micropartition = {workspace = true}
 daft-scan = {workspace = true}
 daft-schema = {workspace = true}
 daft-table = {workspace = true}
 dashmap = "6.1.0"
+derive_more = {workspace = true}
 eyre = "0.6.12"
 futures = "0.3.31"
+itertools = {workspace = true}
 pyo3 = {workspace = true, optional = true}
+serde_json = {workspace = true}
 spark-connect = {workspace = true}
 tokio = {version = "1.40.0", features = ["full"]}
 tonic = "0.12.3"
 tracing = {workspace = true}
 uuid = {version = "1.10.0", features = ["v4"]}
 
 [features]
-python = ["dep:pyo3", "common-daft-config/python", "daft-local-execution/python", "daft-logical-plan/python", "daft-scan/python", "daft-table/python", "daft-dsl/python", "daft-schema/python", "daft-core/python"]
+python = ["dep:pyo3", "common-daft-config/python", "daft-local-execution/python", "daft-logical-plan/python", "daft-scan/python", "daft-table/python", "daft-dsl/python", "daft-schema/python", "daft-core/python", "daft-micropartition/python"]
 
 [lints]
 workspace = true

src/daft-connect/src/lib.rs

@@ -5,7 +5,6 @@
 #![feature(iter_from_coroutine)]
 #![feature(stmt_expr_attributes)]
 #![feature(try_trait_v2_residual)]
-#![deny(clippy::print_stdout)]
 
 use dashmap::DashMap;
 use eyre::Context;
@@ -23,7 +22,7 @@ use spark_connect::{
     ReleaseExecuteResponse, ReleaseSessionRequest, ReleaseSessionResponse,
 };
 use tonic::{transport::Server, Request, Response, Status};
-use tracing::{debug, info};
+use tracing::info;
 use uuid::Uuid;
 
 use crate::session::Session;
@@ -325,8 +324,6 @@ impl SparkConnectService for DaftSparkConnectService {
                     result: Some(analyze_plan_response::Result::Schema(schema)),
                 };
 
-                debug!("response: {response:#?}");
-
                 Ok(Response::new(response))
             }
             _ => unimplemented_err!("Analyze plan operation is not yet implemented"),
@@ -346,7 +343,6 @@ impl SparkConnectService for DaftSparkConnectService {
         &self,
         _request: Request<InterruptRequest>,
     ) -> Result<Response<InterruptResponse>, Status> {
-        println!("got interrupt");
         unimplemented_err!("interrupt operation is not yet implemented")
     }
 
@@ -361,17 +357,26 @@ impl SparkConnectService for DaftSparkConnectService {
     #[tracing::instrument(skip_all)]
     async fn release_execute(
         &self,
-        _request: Request<ReleaseExecuteRequest>,
+        request: Request<ReleaseExecuteRequest>,
     ) -> Result<Response<ReleaseExecuteResponse>, Status> {
-        unimplemented_err!("release_execute operation is not yet implemented")
+        let request = request.into_inner();
+
+        let session = self.get_session(&request.session_id)?;
+
+        let response = ReleaseExecuteResponse {
+            session_id: session.client_side_session_id().to_string(),
+            server_side_session_id: session.server_side_session_id().to_string(),
+            operation_id: None, // todo: set but not strictly required
+        };
+
+        Ok(Response::new(response))
     }
 
     #[tracing::instrument(skip_all)]
     async fn release_session(
         &self,
         _request: Request<ReleaseSessionRequest>,
     ) -> Result<Response<ReleaseSessionResponse>, Status> {
-        println!("got release session");
         unimplemented_err!("release_session operation is not yet implemented")
     }
 
@@ -380,7 +385,6 @@ impl SparkConnectService for DaftSparkConnectService {
         &self,
         _request: Request<FetchErrorDetailsRequest>,
     ) -> Result<Response<FetchErrorDetailsResponse>, Status> {
-        println!("got fetch error details");
         unimplemented_err!("fetch_error_details operation is not yet implemented")
     }
 }

src/daft-connect/src/op/execute/root.rs

@@ -1,4 +1,4 @@
-use std::{collections::HashMap, future::ready, sync::Arc};
+use std::{future::ready, sync::Arc};
 
 use common_daft_config::DaftExecutionConfig;
 use daft_local_execution::NativeExecutor;
@@ -10,6 +10,7 @@ use crate::{
     op::execute::{ExecuteStream, PlanIds},
     session::Session,
     translation,
+    translation::Plan,
 };
 
 impl Session {
@@ -31,13 +32,11 @@ impl Session {
         let (tx, rx) = tokio::sync::mpsc::channel::<eyre::Result<ExecutePlanResponse>>(1);
         tokio::spawn(async move {
             let execution_fut = async {
-                let plan = translation::to_logical_plan(command)?;
-                let optimized_plan = plan.optimize()?;
+                let Plan { builder, psets } = translation::to_logical_plan(command)?;
+                let optimized_plan = builder.optimize()?;
                 let cfg = Arc::new(DaftExecutionConfig::default());
                 let native_executor = NativeExecutor::from_logical_plan_builder(&optimized_plan)?;
-                let mut result_stream = native_executor
-                    .run(HashMap::new(), cfg, None)?
-                    .into_stream();
+                let mut result_stream = native_executor.run(psets, cfg, None)?.into_stream();
 
                 while let Some(result) = result_stream.next().await {
                     let result = result?;

src/daft-connect/src/translation.rs

@@ -6,8 +6,8 @@ mod literal;
 mod logical_plan;
 mod schema;
 
-pub use datatype::{to_daft_datatype, to_spark_datatype};
+pub use datatype::{deser_spark_datatype, to_daft_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 logical_plan::{to_logical_plan, Plan};
 pub use schema::relation_to_schema;

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

@@ -3,6 +3,9 @@ use eyre::{bail, ensure, WrapErr};
 use spark_connect::data_type::Kind;
 use tracing::warn;
 
+mod codec;
+pub use codec::deser as deser_spark_datatype;
+
 pub fn to_spark_datatype(datatype: &DataType) -> spark_connect::DataType {
     match datatype {
         DataType::Null => spark_connect::DataType {