forked from apache/datafusion
-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathavro_sql.rs
51 lines (43 loc) · 1.74 KB
/
avro_sql.rs
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
// 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.
use datafusion::arrow::util::pretty;
use datafusion::error::Result;
use datafusion::prelude::*;
/// This example demonstrates executing a simple query against an Arrow data source (Avro) and
/// fetching results
#[tokio::main]
async fn main() -> Result<()> {
// create local execution context
let ctx = SessionContext::new();
let testdata = datafusion::test_util::arrow_test_data();
// register avro file with the execution context
let avro_file = &format!("{testdata}/avro/alltypes_plain.avro");
ctx.register_avro("alltypes_plain", avro_file, AvroReadOptions::default())
.await?;
// execute the query
let df = ctx
.sql(
"SELECT int_col, double_col, CAST(date_string_col as VARCHAR) \
FROM alltypes_plain \
WHERE id > 1 AND tinyint_col < double_col",
)
.await?;
let results = df.collect().await?;
// print the results
pretty::print_batches(&results)?;
Ok(())
}