| // 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 arrow::array::Date32Array; |
| use datafusion::arrow::array::StringArray; |
| use datafusion::arrow::datatypes::{DataType, Field, Schema}; |
| use datafusion::arrow::record_batch::RecordBatch; |
| use datafusion::assert_batches_eq; |
| use datafusion::error::Result; |
| use datafusion::prelude::*; |
| use std::sync::Arc; |
| |
| /// This example demonstrates how to use the to_char function via sql |
| /// |
| /// This function accepts date, time, timestamp and duration values |
| /// in the first argument and string values for the second |
| #[tokio::main] |
| async fn main() -> Result<()> { |
| let schema = Arc::new(Schema::new(vec![ |
| Field::new("values", DataType::Date32, false), |
| Field::new("patterns", DataType::Utf8, false), |
| ])); |
| |
| let batch = RecordBatch::try_new( |
| schema, |
| vec![ |
| Arc::new(Date32Array::from(vec![18506, 18507, 18508, 18509])), |
| Arc::new(StringArray::from(vec![ |
| "%Y-%m-%d", "%Y:%m:%d", "%Y%m%d", "%d-%m-%Y", |
| ])), |
| ], |
| )?; |
| |
| // declare a new context. In spark API, this corresponds to a new spark SQLsession |
| let ctx = SessionContext::new(); |
| |
| // declare a table in memory. In spark API, this corresponds to createDataFrame(...). |
| ctx.register_batch("t", batch)?; |
| let _ = ctx.table("t").await?; |
| |
| // use to_char function to convert col 'values' to timestamp type using |
| // patterns stored in col 'patterns' |
| let result = ctx |
| .sql("SELECT to_char(values, patterns) from t") |
| .await? |
| .collect() |
| .await?; |
| |
| assert_batches_eq!( |
| &[ |
| "+------------------------------+", |
| "| to_char(t.values,t.patterns) |", |
| "+------------------------------+", |
| "| 2020-09-01 |", |
| "| 2020:09:02 |", |
| "| 20200903 |", |
| "| 04-09-2020 |", |
| "+------------------------------+", |
| ], |
| &result |
| ); |
| |
| // the date_format alias for the to_char function can be used as well |
| let result = ctx |
| .sql("SELECT date_format(values, patterns) from t") |
| .await? |
| .collect() |
| .await?; |
| |
| assert_batches_eq!( |
| &[ |
| "+------------------------------+", |
| "| to_char(t.values,t.patterns) |", |
| "+------------------------------+", |
| "| 2020-09-01 |", |
| "| 2020:09:02 |", |
| "| 20200903 |", |
| "| 04-09-2020 |", |
| "+------------------------------+", |
| ], |
| &result |
| ); |
| |
| // use to_char function to convert col 'values' with a fixed format |
| let result = ctx |
| .sql("SELECT to_char(values, '%m-%d-%Y') FROM t") |
| .await? |
| .collect() |
| .await?; |
| |
| assert_batches_eq!( |
| &[ |
| "+------------------------------------+", |
| "| to_char(t.values,Utf8(\"%m-%d-%Y\")) |", |
| "+------------------------------------+", |
| "| 09-01-2020 |", |
| "| 09-02-2020 |", |
| "| 09-03-2020 |", |
| "| 09-04-2020 |", |
| "+------------------------------------+", |
| ], |
| &result |
| ); |
| |
| // if you want to just use the default format cast to a string |
| let result = ctx |
| .sql("SELECT arrow_cast(values, 'Utf8') from t") |
| .await? |
| .collect() |
| .await?; |
| |
| assert_batches_eq!( |
| &[ |
| "+-----------------------------------+", |
| "| arrow_cast(t.values,Utf8(\"Utf8\")) |", |
| "+-----------------------------------+", |
| "| 2020-09-01 |", |
| "| 2020-09-02 |", |
| "| 2020-09-03 |", |
| "| 2020-09-04 |", |
| "+-----------------------------------+", |
| ], |
| &result |
| ); |
| |
| // use can use literals as well (note the use of timestamp here) |
| let result = ctx |
| .sql("SELECT to_char(arrow_cast(TIMESTAMP '2023-08-03 14:38:50Z', 'Timestamp(Second, None)'), '%d-%m-%Y %H:%M:%S')") |
| .await? |
| .collect() |
| .await?; |
| |
| assert_batches_eq!( |
| &[ |
| "+-------------------------------------------------------------------------------------------------------------+", |
| "| to_char(arrow_cast(Utf8(\"2023-08-03 14:38:50Z\"),Utf8(\"Timestamp(Second, None)\")),Utf8(\"%d-%m-%Y %H:%M:%S\")) |", |
| "+-------------------------------------------------------------------------------------------------------------+", |
| "| 03-08-2023 14:38:50 |", |
| "+-------------------------------------------------------------------------------------------------------------+", |
| ], |
| &result |
| ); |
| |
| // durations are supported though the output format is limited to two formats |
| // 'pretty' and 'ISO8601' |
| let result = ctx |
| .sql("SELECT to_char(arrow_cast(123456, 'Duration(Second)'), 'pretty')") |
| .await? |
| .collect() |
| .await?; |
| |
| assert_batches_eq!( |
| &[ |
| "+----------------------------------------------------------------------------+", |
| "| to_char(arrow_cast(Int64(123456),Utf8(\"Duration(Second)\")),Utf8(\"pretty\")) |", |
| "+----------------------------------------------------------------------------+", |
| "| 1 days 10 hours 17 mins 36 secs |", |
| "+----------------------------------------------------------------------------+", |
| ], |
| &result |
| ); |
| |
| // durations are supported though the output format is limited to two formats |
| // 'pretty' and 'ISO8601' |
| let result = ctx |
| .sql("SELECT to_char(arrow_cast(123456, 'Duration(Second)'), 'iso8601')") |
| .await? |
| .collect() |
| .await?; |
| |
| assert_batches_eq!( |
| &[ |
| "+-----------------------------------------------------------------------------+", |
| "| to_char(arrow_cast(Int64(123456),Utf8(\"Duration(Second)\")),Utf8(\"iso8601\")) |", |
| "+-----------------------------------------------------------------------------+", |
| "| PT123456S |", |
| "+-----------------------------------------------------------------------------+", |
| ], |
| &result |
| ); |
| |
| // output format is null |
| |
| let result = ctx |
| .sql("SELECT to_char(arrow_cast(123456, 'Duration(Second)'), null) as result") |
| .await? |
| .collect() |
| .await?; |
| |
| assert_batches_eq!( |
| &[ |
| "+--------+", |
| "| result |", |
| "+--------+", |
| "| |", |
| "+--------+", |
| ], |
| &result |
| ); |
| |
| Ok(()) |
| } |