forked from apache/datafusion
-
Notifications
You must be signed in to change notification settings - Fork 0
Expand file tree
/
Copy pathserver.rs
More file actions
215 lines (179 loc) · 8.14 KB
/
server.rs
File metadata and controls
215 lines (179 loc) · 8.14 KB
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
// 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.
//! See `main.rs` for how to run it.
use std::sync::Arc;
use arrow::ipc::writer::{CompressionContext, DictionaryTracker, IpcDataGenerator};
use arrow_flight::{
Action, ActionType, Criteria, Empty, FlightData, FlightDescriptor, FlightInfo,
HandshakeRequest, HandshakeResponse, PutResult, SchemaResult, Ticket,
flight_service_server::FlightService, flight_service_server::FlightServiceServer,
};
use arrow_flight::{PollInfo, SchemaAsIpc};
use datafusion::arrow::error::ArrowError;
use datafusion::datasource::file_format::parquet::ParquetFormat;
use datafusion::datasource::listing::{ListingOptions, ListingTableUrl};
use datafusion::prelude::*;
use datafusion_examples::utils::{datasets::ExampleDataset, write_csv_to_parquet};
use futures::stream::BoxStream;
use tonic::transport::Server;
use tonic::{Request, Response, Status, Streaming};
#[derive(Clone)]
pub struct FlightServiceImpl {}
#[tonic::async_trait]
impl FlightService for FlightServiceImpl {
type HandshakeStream = BoxStream<'static, Result<HandshakeResponse, Status>>;
type ListFlightsStream = BoxStream<'static, Result<FlightInfo, Status>>;
type DoGetStream = BoxStream<'static, Result<FlightData, Status>>;
type DoPutStream = BoxStream<'static, Result<PutResult, Status>>;
type DoActionStream = BoxStream<'static, Result<arrow_flight::Result, Status>>;
type ListActionsStream = BoxStream<'static, Result<ActionType, Status>>;
type DoExchangeStream = BoxStream<'static, Result<FlightData, Status>>;
async fn get_schema(
&self,
request: Request<FlightDescriptor>,
) -> Result<Response<SchemaResult>, Status> {
let request = request.into_inner();
let listing_options = ListingOptions::new(Arc::new(ParquetFormat::default()));
let table_path =
ListingTableUrl::parse(&request.path[0]).map_err(to_tonic_err)?;
let ctx = SessionContext::new();
let schema = listing_options
.infer_schema(&ctx.state(), &table_path)
.await
.unwrap();
let options = arrow::ipc::writer::IpcWriteOptions::default();
let schema_result = SchemaAsIpc::new(&schema, &options)
.try_into()
.map_err(|e: ArrowError| Status::internal(e.to_string()))?;
Ok(Response::new(schema_result))
}
async fn do_get(
&self,
request: Request<Ticket>,
) -> Result<Response<Self::DoGetStream>, Status> {
let ticket = request.into_inner();
match std::str::from_utf8(&ticket.ticket) {
Ok(sql) => {
println!("do_get: {sql}");
// create local execution context
let ctx = SessionContext::new();
// Convert the CSV input into a temporary Parquet directory for querying
let dataset = ExampleDataset::Cars;
let parquet_temp = write_csv_to_parquet(&ctx, &dataset.path())
.await
.map_err(|e| {
Status::internal(format!("Error writing csv to parquet: {e}"))
})?;
let parquet_path = parquet_temp.path_str().map_err(|e| {
Status::internal(format!("Error getting parquet path: {e}"))
})?;
// register parquet file with the execution context
ctx.register_parquet("cars", parquet_path, ParquetReadOptions::default())
.await
.map_err(to_tonic_err)?;
// create the DataFrame
let df = ctx.sql(sql).await.map_err(to_tonic_err)?;
// execute the query
let schema = Arc::clone(df.schema().inner());
let results = df.collect().await.map_err(to_tonic_err)?;
if results.is_empty() {
return Err(Status::internal("There were no results from ticket"));
}
// add an initial FlightData message that sends schema
let options = arrow::ipc::writer::IpcWriteOptions::default();
let mut compression_context = CompressionContext::default();
let schema_flight_data = SchemaAsIpc::new(&schema, &options);
let mut flights = vec![FlightData::from(schema_flight_data)];
let encoder = IpcDataGenerator::default();
let mut tracker = DictionaryTracker::new(false);
for batch in &results {
let (flight_dictionaries, flight_batch) = encoder
.encode(batch, &mut tracker, &options, &mut compression_context)
.map_err(|e: ArrowError| Status::internal(e.to_string()))?;
flights.extend(flight_dictionaries.into_iter().map(Into::into));
flights.push(flight_batch.into());
}
let output = futures::stream::iter(flights.into_iter().map(Ok));
Ok(Response::new(Box::pin(output) as Self::DoGetStream))
}
Err(e) => Err(Status::invalid_argument(format!("Invalid ticket: {e:?}"))),
}
}
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> {
Err(Status::unimplemented("Not yet implemented"))
}
async fn do_put(
&self,
_request: Request<Streaming<FlightData>>,
) -> Result<Response<Self::DoPutStream>, Status> {
Err(Status::unimplemented("Not yet implemented"))
}
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 poll_flight_info(
&self,
_request: Request<FlightDescriptor>,
) -> Result<Response<PollInfo>, Status> {
Err(Status::unimplemented("Not yet implemented"))
}
}
#[expect(clippy::needless_pass_by_value)]
fn to_tonic_err(e: datafusion::error::DataFusionError) -> Status {
Status::internal(format!("{e:?}"))
}
/// This example shows how to wrap DataFusion with `FlightService` to support looking up schema information for
/// Parquet files and executing SQL queries against them on a remote server.
/// This example is run along-side the example `flight_client`.
pub async fn server() -> Result<(), Box<dyn std::error::Error>> {
let addr = "0.0.0.0:50051".parse()?;
let service = FlightServiceImpl {};
let svc = FlightServiceServer::new(service);
println!("Listening on {addr:?}");
Server::builder().add_service(svc).serve(addr).await?;
Ok(())
}