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| 1 | +// Licensed to the Apache Software Foundation (ASF) under one |
| 2 | +// or more contributor license agreements. See the NOTICE file |
| 3 | +// distributed with this work for additional information |
| 4 | +// regarding copyright ownership. The ASF licenses this file |
| 5 | +// to you under the Apache License, Version 2.0 (the |
| 6 | +// "License"); you may not use this file except in compliance |
| 7 | +// with the License. You may obtain a copy of the License at |
| 8 | +// |
| 9 | +// http://www.apache.org/licenses/LICENSE-2.0 |
| 10 | +// |
| 11 | +// Unless required by applicable law or agreed to in writing, |
| 12 | +// software distributed under the License is distributed on an |
| 13 | +// "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY |
| 14 | +// KIND, either express or implied. See the License for the |
| 15 | +// specific language governing permissions and limitations |
| 16 | +// under the License. |
| 17 | + |
| 18 | +use datafusion::{dataframe::DataFrameWriteOptions, prelude::*}; |
| 19 | +use datafusion_common::{parsers::CompressionTypeVariant, DataFusionError}; |
| 20 | + |
| 21 | +/// This example demonstrates the various methods to write out a DataFrame to local storage. |
| 22 | +/// See datafusion-examples/examples/external_dependency/dataframe-to-s3.rs for an example |
| 23 | +/// using a remote object store. |
| 24 | +#[tokio::main] |
| 25 | +async fn main() -> Result<(), DataFusionError> { |
| 26 | + let ctx = SessionContext::new(); |
| 27 | + |
| 28 | + let mut df = ctx.sql("values ('a'), ('b'), ('c')").await.unwrap(); |
| 29 | + |
| 30 | + // Ensure the column names and types match the target table |
| 31 | + df = df.with_column_renamed("column1", "tablecol1").unwrap(); |
| 32 | + |
| 33 | + ctx.sql( |
| 34 | + "create external table |
| 35 | + test(tablecol1 varchar) |
| 36 | + stored as parquet |
| 37 | + location './datafusion-examples/test_table/'", |
| 38 | + ) |
| 39 | + .await? |
| 40 | + .collect() |
| 41 | + .await?; |
| 42 | + |
| 43 | + // This is equivalent to INSERT INTO test VALUES ('a'), ('b'), ('c'). |
| 44 | + // The behavior of write_table depends on the TableProvider's implementation |
| 45 | + // of the insert_into method. |
| 46 | + df.clone() |
| 47 | + .write_table("test", DataFrameWriteOptions::new()) |
| 48 | + .await?; |
| 49 | + |
| 50 | + df.clone() |
| 51 | + .write_parquet( |
| 52 | + "./datafusion-examples/test_parquet/", |
| 53 | + DataFrameWriteOptions::new(), |
| 54 | + None, |
| 55 | + ) |
| 56 | + .await?; |
| 57 | + |
| 58 | + df.clone() |
| 59 | + .write_csv( |
| 60 | + "./datafusion-examples/test_csv/", |
| 61 | + // DataFrameWriteOptions contains options which control how data is written |
| 62 | + // such as compression codec |
| 63 | + DataFrameWriteOptions::new().with_compression(CompressionTypeVariant::GZIP), |
| 64 | + None, |
| 65 | + ) |
| 66 | + .await?; |
| 67 | + |
| 68 | + df.clone() |
| 69 | + .write_json( |
| 70 | + "./datafusion-examples/test_json/", |
| 71 | + DataFrameWriteOptions::new(), |
| 72 | + ) |
| 73 | + .await?; |
| 74 | + |
| 75 | + Ok(()) |
| 76 | +} |
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