datafusion_spark/function/aggregate/
mod.rs

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
18use datafusion_expr::AggregateUDF;
19use std::sync::Arc;
20
21pub mod avg;
22pub mod collect;
23pub mod try_sum;
24
25pub mod expr_fn {
26    use datafusion_functions::export_functions;
27
28    export_functions!((avg, "Returns the average value of a given column", arg1));
29    export_functions!((
30        try_sum,
31        "Returns the sum of values for a column, or NULL if overflow occurs",
32        arg1
33    ));
34    export_functions!((
35        collect_list,
36        "Returns a list created from the values in a column",
37        arg1
38    ));
39    export_functions!((
40        collect_set,
41        "Returns a set created from the values in a column",
42        arg1
43    ));
44}
45
46// TODO: try use something like datafusion_functions_aggregate::create_func!()
47pub fn avg() -> Arc<AggregateUDF> {
48    Arc::new(AggregateUDF::new_from_impl(avg::SparkAvg::new()))
49}
50pub fn try_sum() -> Arc<AggregateUDF> {
51    Arc::new(AggregateUDF::new_from_impl(try_sum::SparkTrySum::new()))
52}
53pub fn collect_list() -> Arc<AggregateUDF> {
54    Arc::new(AggregateUDF::new_from_impl(collect::SparkCollectList::new()))
55}
56pub fn collect_set() -> Arc<AggregateUDF> {
57    Arc::new(AggregateUDF::new_from_impl(collect::SparkCollectSet::new()))
58}
59
60pub fn functions() -> Vec<Arc<AggregateUDF>> {
61    vec![avg(), try_sum(), collect_list(), collect_set()]
62}
datafusion_spark/function/aggregate/mod.rs

datafusion_spark/function/aggregate/
mod.rs
