andygrove commented on code in PR #469: URL: https://github.com/apache/datafusion-comet/pull/469#discussion_r1631706529
########## core/src/execution/datafusion/expressions/regexp.rs: ########## @@ -0,0 +1,144 @@ +/* + * 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::{errors::CometError, execution::datafusion::expressions::utils::down_cast_any_ref}; +use arrow_array::{builder::BooleanBuilder, Array, RecordBatch, StringArray}; +use arrow_schema::{DataType, Schema}; +use datafusion::logical_expr::ColumnarValue; +use datafusion_common::ScalarValue; +use datafusion_physical_expr::PhysicalExpr; +use regex::Regex; +use std::{ + any::Any, + fmt::{Display, Formatter}, + hash::Hasher, + sync::Arc, +}; + +#[derive(Debug, Hash)] +pub struct RLike { + child: Arc<dyn PhysicalExpr>, + pattern: Arc<dyn PhysicalExpr>, +} + +impl RLike { + pub fn new(child: Arc<dyn PhysicalExpr>, pattern: Arc<dyn PhysicalExpr>) -> Self { + Self { child, pattern } + } +} + +impl Display for RLike { + fn fmt(&self, f: &mut Formatter<'_>) -> std::fmt::Result { + write!( + f, + "RLike [child: {}, pattern: {}] ", + self.child, self.pattern + ) + } +} + +impl PartialEq<dyn Any> for RLike { + fn eq(&self, other: &dyn Any) -> bool { + down_cast_any_ref(other) + .downcast_ref::<Self>() + .map(|x| self.child.eq(&x.child) && self.pattern.eq(&x.pattern)) + .unwrap_or(false) + } +} + +impl PhysicalExpr for RLike { + fn as_any(&self) -> &dyn Any { + self + } + + fn data_type(&self, _input_schema: &Schema) -> datafusion_common::Result<DataType> { + Ok(DataType::Boolean) + } + + fn nullable(&self, input_schema: &Schema) -> datafusion_common::Result<bool> { + self.child.nullable(input_schema) + } + + fn evaluate(&self, batch: &RecordBatch) -> datafusion_common::Result<ColumnarValue> { + if let ColumnarValue::Array(v) = self.child.evaluate(batch)? { + if let ColumnarValue::Scalar(ScalarValue::Utf8(Some(pattern))) = + self.pattern.evaluate(batch)? + { + // TODO cache Regex across invocations of evaluate() or create it in constructor + match Regex::new(&pattern) { + Ok(re) => { + let inputs = v + .as_any() + .downcast_ref::<StringArray>() + .expect("string array"); + let mut builder = BooleanBuilder::with_capacity(inputs.len()); + if inputs.is_nullable() { + for i in 0..inputs.len() { + if inputs.is_null(i) { + builder.append_null(); + } else { + builder.append_value(re.is_match(inputs.value(i))); + } + } + } else { + for i in 0..inputs.len() { + builder.append_value(re.is_match(inputs.value(i))); + } + } + Ok(ColumnarValue::Array(Arc::new(builder.finish()))) + } + Err(e) => Err(CometError::Internal(format!( + "Failed to compile regular expression: {e:?}" + )) + .into()), + } + } else { + Err( + CometError::Internal("Only scalar regex patterns are supported".to_string()) + .into(), + ) + } + } else { + // this should be unreachable because Spark will evaluate regex expressions against + // literal strings as part of query planning + Err(CometError::Internal("Only columnar inputs are supported".to_string()).into()) Review Comment: Good point. Yes, it probably is. -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: github-unsubscr...@datafusion.apache.org For queries about this service, please contact Infrastructure at: us...@infra.apache.org --------------------------------------------------------------------- To unsubscribe, e-mail: github-unsubscr...@datafusion.apache.org For additional commands, e-mail: github-h...@datafusion.apache.org
