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// 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. | ||
|
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use datafusion::common::test_util::datafusion_test_data; | ||
use datafusion::error::Result; | ||
use datafusion::prelude::*; | ||
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/// This example demonstrates executing a simple query against an Arrow data source (CSV) and | ||
/// fetching results with streaming aggregation and streaming window | ||
#[tokio::main] | ||
async fn main() -> Result<()> { | ||
// create local execution context | ||
let ctx = SessionContext::new(); | ||
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let testdata = datafusion_test_data(); | ||
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// Register a table source and tell DataFusion the file is ordered by `ts ASC`. | ||
// Note it is the responsibility of the user to make sure | ||
// that file indeed satisfies this condition or else incorrect answers may be produced. | ||
let asc = true; | ||
let nulls_first = true; | ||
let sort_expr = vec![col("ts").sort(asc, nulls_first)]; | ||
// register csv file with the execution context | ||
ctx.register_csv( | ||
"ordered_table", | ||
&format!("{testdata}/window_1.csv"), | ||
CsvReadOptions::new().file_sort_order(vec![sort_expr]), | ||
) | ||
.await?; | ||
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// execute the query | ||
// Following query can be executed with unbounded sources because group by expressions (e.g ts) is | ||
// already ordered at the source. | ||
// | ||
// Unbounded sources means that if the input came from a "never ending" source (such as a FIFO | ||
// file on unix) the query could produce results incrementally as data was read. | ||
let df = ctx | ||
.sql( | ||
"SELECT ts, MIN(inc_col), MAX(inc_col) \ | ||
FROM ordered_table \ | ||
GROUP BY ts", | ||
) | ||
.await?; | ||
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df.show().await?; | ||
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// execute the query | ||
// Following query can be executed with unbounded sources because window executor can calculate | ||
// its result in streaming fashion, because its required ordering is already satisfied at the source. | ||
let df = ctx | ||
.sql( | ||
"SELECT ts, SUM(inc_col) OVER(ORDER BY ts ASC) \ | ||
FROM ordered_table", | ||
) | ||
.await?; | ||
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df.show().await?; | ||
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Ok(()) | ||
} |
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