arrow_integration_testing/flight_server_scenarios/

integration_test.rs

// Licensed to the Apache Software Foundation (ASF) under one
// or more contributor license agreements.  See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership.  The ASF licenses this file
// to you 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.

//! Integration tests for the Flight server.

use core::str;
use std::collections::HashMap;
use std::pin::Pin;
use std::sync::Arc;

use arrow::{
    array::ArrayRef,
    buffer::Buffer,
    datatypes::Schema,
    datatypes::SchemaRef,
    ipc::{self, reader, writer},
    record_batch::RecordBatch,
};
use arrow_flight::{
    flight_descriptor::DescriptorType, flight_service_server::FlightService,
    flight_service_server::FlightServiceServer, Action, ActionType, Criteria, Empty, FlightData,
    FlightDescriptor, FlightEndpoint, FlightInfo, HandshakeRequest, HandshakeResponse, IpcMessage,
    PollInfo, PutResult, SchemaAsIpc, SchemaResult, Ticket,
};
use futures::{channel::mpsc, sink::SinkExt, Stream, StreamExt};
use tokio::sync::Mutex;
use tonic::{transport::Server, Request, Response, Status, Streaming};

type TonicStream<T> = Pin<Box<dyn Stream<Item = T> + Send + Sync + 'static>>;

type Error = Box<dyn std::error::Error + Send + Sync + 'static>;
type Result<T = (), E = Error> = std::result::Result<T, E>;

/// Run a scenario that tests integration testing.
pub async fn scenario_setup(port: u16) -> Result {
    let addr = super::listen_on(port).await?;
    let resolved_port = addr.port();

    let service = FlightServiceImpl {
        // See https://github.com/apache/arrow-rs/issues/6577
        // C# had trouble resolving addressed like 0.0.0.0:port
        // server_location: format!("grpc+tcp://{addr}"),
        server_location: format!("grpc+tcp://localhost:{resolved_port}"),
        ..Default::default()
    };
    let svc = FlightServiceServer::new(service);

    let server = Server::builder().add_service(svc).serve(addr);

    // NOTE: Log output used in tests to signal server is ready
    println!("Server listening on localhost:{}", addr.port());
    server.await?;
    Ok(())
}

#[derive(Debug, Clone)]
struct IntegrationDataset {
    schema: Schema,
    chunks: Vec<RecordBatch>,
}

/// Flight service implementation for integration testing
#[derive(Clone, Default)]
pub struct FlightServiceImpl {
    server_location: String,
    uploaded_chunks: Arc<Mutex<HashMap<String, IntegrationDataset>>>,
}

impl FlightServiceImpl {
    fn endpoint_from_path(&self, path: &str) -> FlightEndpoint {
        super::endpoint(path, &self.server_location)
    }
}

#[tonic::async_trait]
impl FlightService for FlightServiceImpl {
    type HandshakeStream = TonicStream<Result<HandshakeResponse, Status>>;
    type ListFlightsStream = TonicStream<Result<FlightInfo, Status>>;
    type DoGetStream = TonicStream<Result<FlightData, Status>>;
    type DoPutStream = TonicStream<Result<PutResult, Status>>;
    type DoActionStream = TonicStream<Result<arrow_flight::Result, Status>>;
    type ListActionsStream = TonicStream<Result<ActionType, Status>>;
    type DoExchangeStream = TonicStream<Result<FlightData, Status>>;

    async fn get_schema(
        &self,
        _request: Request<FlightDescriptor>,
    ) -> Result<Response<SchemaResult>, Status> {
        Err(Status::unimplemented("Not yet implemented"))
    }

    async fn do_get(
        &self,
        request: Request<Ticket>,
    ) -> Result<Response<Self::DoGetStream>, Status> {
        let ticket = request.into_inner();

        let key = str::from_utf8(&ticket.ticket)
            .map_err(|e| Status::invalid_argument(format!("Invalid ticket: {e:?}")))?;

        let uploaded_chunks = self.uploaded_chunks.lock().await;

        let flight = uploaded_chunks
            .get(key)
            .ok_or_else(|| Status::not_found(format!("Could not find flight. {key}")))?;

        let options = arrow::ipc::writer::IpcWriteOptions::default();
        let mut dictionary_tracker = writer::DictionaryTracker::new(false);
        let data_gen = writer::IpcDataGenerator::default();
        let data = IpcMessage(
            data_gen
                .schema_to_bytes_with_dictionary_tracker(
                    &flight.schema,
                    &mut dictionary_tracker,
                    &options,
                )
                .ipc_message
                .into(),
        );
        let schema_flight_data = FlightData {
            data_header: data.0,
            ..Default::default()
        };

        let schema = std::iter::once(Ok(schema_flight_data));

        let batches = flight
            .chunks
            .iter()
            .enumerate()
            .flat_map(|(counter, batch)| {
                let (encoded_dictionaries, encoded_batch) = data_gen
                    .encoded_batch(batch, &mut dictionary_tracker, &options)
                    .expect("DictionaryTracker configured above to not error on replacement");

                let dictionary_flight_data = encoded_dictionaries.into_iter().map(Into::into);
                let mut batch_flight_data: FlightData = encoded_batch.into();

                // Only the record batch's FlightData gets app_metadata
                let metadata = counter.to_string().into();
                batch_flight_data.app_metadata = metadata;

                dictionary_flight_data
                    .chain(std::iter::once(batch_flight_data))
                    .map(Ok)
            });

        let output = futures::stream::iter(schema.chain(batches).collect::<Vec<_>>());

        Ok(Response::new(Box::pin(output) as Self::DoGetStream))
    }

    async fn handshake(
        &self,
        _request: Request<Streaming<HandshakeRequest>>,
    ) -> Result<Response<Self::HandshakeStream>, Status> {
        Err(Status::unimplemented("Not yet implemented"))
    }

    async fn list_flights(
        &self,
        _request: Request<Criteria>,
    ) -> Result<Response<Self::ListFlightsStream>, Status> {
        Err(Status::unimplemented("Not yet implemented"))
    }

    async fn get_flight_info(
        &self,
        request: Request<FlightDescriptor>,
    ) -> Result<Response<FlightInfo>, Status> {
        let descriptor = request.into_inner();

        match descriptor.r#type {
            t if t == DescriptorType::Path as i32 => {
                let path = &descriptor.path;
                if path.is_empty() {
                    return Err(Status::invalid_argument("Invalid path"));
                }

                let uploaded_chunks = self.uploaded_chunks.lock().await;
                let flight = uploaded_chunks.get(&path[0]).ok_or_else(|| {
                    Status::not_found(format!("Could not find flight. {}", path[0]))
                })?;

                let endpoint = self.endpoint_from_path(&path[0]);

                let total_records: usize = flight.chunks.iter().map(|chunk| chunk.num_rows()).sum();

                let options = arrow::ipc::writer::IpcWriteOptions::default();
                let message = SchemaAsIpc::new(&flight.schema, &options)
                    .try_into()
                    .expect(
                        "Could not generate schema bytes from schema stored by a DoPut; \
                         this should be impossible",
                    );
                let IpcMessage(schema) = message;

                let info = FlightInfo {
                    schema,
                    flight_descriptor: Some(descriptor.clone()),
                    endpoint: vec![endpoint],
                    total_records: total_records as i64,
                    total_bytes: -1,
                    ordered: false,
                    app_metadata: vec![].into(),
                };

                Ok(Response::new(info))
            }
            other => Err(Status::unimplemented(format!("Request type: {other}"))),
        }
    }

    async fn poll_flight_info(
        &self,
        _request: Request<FlightDescriptor>,
    ) -> Result<Response<PollInfo>, Status> {
        Err(Status::unimplemented("Not yet implemented"))
    }

    async fn do_put(
        &self,
        request: Request<Streaming<FlightData>>,
    ) -> Result<Response<Self::DoPutStream>, Status> {
        let mut input_stream = request.into_inner();
        let flight_data = input_stream
            .message()
            .await?
            .ok_or_else(|| Status::invalid_argument("Must send some FlightData"))?;

        let descriptor = flight_data
            .flight_descriptor
            .clone()
            .ok_or_else(|| Status::invalid_argument("Must have a descriptor"))?;

        if descriptor.r#type != DescriptorType::Path as i32 || descriptor.path.is_empty() {
            return Err(Status::invalid_argument("Must specify a path"));
        }

        let key = descriptor.path[0].clone();

        let schema = Schema::try_from(&flight_data)
            .map_err(|e| Status::invalid_argument(format!("Invalid schema: {e:?}")))?;
        let schema_ref = Arc::new(schema.clone());

        let (response_tx, response_rx) = mpsc::channel(10);

        let uploaded_chunks = self.uploaded_chunks.clone();

        tokio::spawn(async {
            let mut error_tx = response_tx.clone();
            if let Err(e) = save_uploaded_chunks(
                uploaded_chunks,
                schema_ref,
                input_stream,
                response_tx,
                schema,
                key,
            )
            .await
            {
                error_tx.send(Err(e)).await.expect("Error sending error")
            }
        });

        Ok(Response::new(Box::pin(response_rx) as Self::DoPutStream))
    }

    async fn do_action(
        &self,
        _request: Request<Action>,
    ) -> Result<Response<Self::DoActionStream>, Status> {
        Err(Status::unimplemented("Not yet implemented"))
    }

    async fn list_actions(
        &self,
        _request: Request<Empty>,
    ) -> Result<Response<Self::ListActionsStream>, Status> {
        Err(Status::unimplemented("Not yet implemented"))
    }

    async fn do_exchange(
        &self,
        _request: Request<Streaming<FlightData>>,
    ) -> Result<Response<Self::DoExchangeStream>, Status> {
        Err(Status::unimplemented("Not yet implemented"))
    }
}

async fn send_app_metadata(
    tx: &mut mpsc::Sender<Result<PutResult, Status>>,
    app_metadata: &[u8],
) -> Result<(), Status> {
    tx.send(Ok(PutResult {
        app_metadata: app_metadata.to_vec().into(),
    }))
    .await
    .map_err(|e| Status::internal(format!("Could not send PutResult: {e:?}")))
}

async fn record_batch_from_message(
    message: ipc::Message<'_>,
    data_body: &Buffer,
    schema_ref: SchemaRef,
    dictionaries_by_id: &HashMap<i64, ArrayRef>,
) -> Result<RecordBatch, Status> {
    let ipc_batch = message
        .header_as_record_batch()
        .ok_or_else(|| Status::internal("Could not parse message header as record batch"))?;

    let arrow_batch_result = reader::read_record_batch(
        data_body,
        ipc_batch,
        schema_ref,
        dictionaries_by_id,
        None,
        &message.version(),
    );

    arrow_batch_result
        .map_err(|e| Status::internal(format!("Could not convert to RecordBatch: {e:?}")))
}

async fn dictionary_from_message(
    message: ipc::Message<'_>,
    data_body: &Buffer,
    schema_ref: SchemaRef,
    dictionaries_by_id: &mut HashMap<i64, ArrayRef>,
) -> Result<(), Status> {
    let ipc_batch = message
        .header_as_dictionary_batch()
        .ok_or_else(|| Status::internal("Could not parse message header as dictionary batch"))?;

    let dictionary_batch_result = reader::read_dictionary(
        data_body,
        ipc_batch,
        &schema_ref,
        dictionaries_by_id,
        &message.version(),
    );
    dictionary_batch_result
        .map_err(|e| Status::internal(format!("Could not convert to Dictionary: {e:?}")))
}

async fn save_uploaded_chunks(
    uploaded_chunks: Arc<Mutex<HashMap<String, IntegrationDataset>>>,
    schema_ref: Arc<Schema>,
    mut input_stream: Streaming<FlightData>,
    mut response_tx: mpsc::Sender<Result<PutResult, Status>>,
    schema: Schema,
    key: String,
) -> Result<(), Status> {
    let mut chunks = vec![];
    let mut uploaded_chunks = uploaded_chunks.lock().await;

    let mut dictionaries_by_id = HashMap::new();

    while let Some(Ok(data)) = input_stream.next().await {
        let message = arrow::ipc::root_as_message(&data.data_header[..])
            .map_err(|e| Status::internal(format!("Could not parse message: {e:?}")))?;

        match message.header_type() {
            ipc::MessageHeader::Schema => {
                return Err(Status::internal(
                    "Not expecting a schema when messages are read",
                ))
            }
            ipc::MessageHeader::RecordBatch => {
                send_app_metadata(&mut response_tx, &data.app_metadata).await?;

                let batch = record_batch_from_message(
                    message,
                    &Buffer::from(data.data_body.as_ref()),
                    schema_ref.clone(),
                    &dictionaries_by_id,
                )
                .await?;

                chunks.push(batch);
            }
            ipc::MessageHeader::DictionaryBatch => {
                dictionary_from_message(
                    message,
                    &Buffer::from(data.data_body.as_ref()),
                    schema_ref.clone(),
                    &mut dictionaries_by_id,
                )
                .await?;
            }
            t => {
                return Err(Status::internal(format!(
                    "Reading types other than record batches not yet supported, \
                                              unable to read {t:?}"
                )));
            }
        }
    }

    let dataset = IntegrationDataset { schema, chunks };
    uploaded_chunks.insert(key, dataset);

    Ok(())
}