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59 changes: 59 additions & 0 deletions
59
query/src/pipelines/new/processors/transforms/hash_join/hash.rs
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// Copyright 2022 Datafuse Labs. | ||
// | ||
// Licensed 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. | ||
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use std::hash::Hasher; | ||
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use common_datavalues::ColumnRef; | ||
use common_datavalues::ColumnWithField; | ||
use common_datavalues::DataField; | ||
use common_datavalues::PrimitiveColumn; | ||
use common_datavalues::Series; | ||
use common_exception::Result; | ||
use common_functions::scalars::FunctionContext; | ||
use common_functions::scalars::FunctionFactory; | ||
use twox_hash::XxHash64; | ||
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pub type HashVector = Vec<u64>; | ||
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pub struct HashUtil; | ||
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impl HashUtil { | ||
pub fn compute_hash(column: &ColumnRef) -> Result<HashVector> { | ||
let hash_function = FunctionFactory::instance().get("xxhash64", &[&column.data_type()])?; | ||
let field = DataField::new("", column.data_type()); | ||
let result = hash_function.eval( | ||
FunctionContext::default(), | ||
&[ColumnWithField::new(column.clone(), field)], | ||
column.len(), | ||
)?; | ||
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let result = Series::remove_nullable(&result); | ||
let result = Series::check_get::<PrimitiveColumn<u64>>(&result)?; | ||
Ok(result.values().to_vec()) | ||
} | ||
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pub fn combine_hashes(inputs: &[HashVector], size: usize) -> HashVector { | ||
static XXHASH_SEED: u64 = 0; | ||
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let mut result = Vec::with_capacity(size); | ||
result.resize(size, XxHash64::with_seed(XXHASH_SEED)); | ||
for input in inputs.iter() { | ||
assert_eq!(input.len(), size); | ||
for i in 0..size { | ||
result[i].write_u64(input[i]); | ||
} | ||
} | ||
result.into_iter().map(|h| h.finish()).collect() | ||
} | ||
} |
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