| // 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 crate::array_gen::StringArrayGenerator; | |
| use crate::stagger_batch; | |
| use arrow::record_batch::RecordBatch; | |
| use rand::rngs::StdRng; | |
| use rand::{Rng, SeedableRng, rng}; | |
| /// Randomly generate strings | |
| pub struct StringBatchGenerator(StringArrayGenerator); | |
| impl StringBatchGenerator { | |
| /// Make batches of random strings with a random length columns "a" and "b". | |
| /// | |
| /// * "a" is a StringArray | |
| /// * "b" is a LargeStringArray | |
| pub fn make_input_batches(&mut self) -> Vec<RecordBatch> { | |
| // use a random number generator to pick a random sized output | |
| let batch = RecordBatch::try_from_iter(vec![ | |
| ("a", self.0.gen_data::<i32>()), | |
| ("b", self.0.gen_data::<i64>()), | |
| ]) | |
| .unwrap(); | |
| stagger_batch(batch) | |
| } | |
| /// Return a column sorted array of random strings, sorted by a | |
| /// | |
| /// if large is false, the array is a StringArray | |
| /// if large is true, the array is a LargeStringArray | |
| pub fn make_sorted_input_batches(&mut self, large: bool) -> Vec<RecordBatch> { | |
| let array = if large { | |
| self.0.gen_data::<i32>() | |
| } else { | |
| self.0.gen_data::<i64>() | |
| }; | |
| let array = arrow::compute::sort(&array, None).unwrap(); | |
| let batch = RecordBatch::try_from_iter(vec![("a", array)]).unwrap(); | |
| stagger_batch(batch) | |
| } | |
| /// Return a set of `BatchGenerator`s that cover a range of interesting | |
| /// cases | |
| pub fn interesting_cases() -> Vec<Self> { | |
| let mut cases = vec![]; | |
| let mut rng = rng(); | |
| for null_pct in [0.0, 0.01, 0.1, 0.5] { | |
| for _ in 0..10 { | |
| // max length of generated strings | |
| let max_len = rng.random_range(1..50); | |
| let num_strings = rng.random_range(1..100); | |
| let num_distinct_strings = if num_strings > 1 { | |
| rng.random_range(1..num_strings) | |
| } else { | |
| num_strings | |
| }; | |
| cases.push(StringBatchGenerator(StringArrayGenerator { | |
| max_len, | |
| num_strings, | |
| num_distinct_strings, | |
| null_pct, | |
| rng: StdRng::from_seed(rng.random()), | |
| })) | |
| } | |
| } | |
| cases | |
| } | |
| } |