mito2/memtable/bulk/
context.rs

1// Copyright 2023 Greptime Team
2//
3// Licensed under the Apache License, Version 2.0 (the "License");
4// you may not use this file except in compliance with the License.
5// You may obtain a copy of the License at
6//
7//     http://www.apache.org/licenses/LICENSE-2.0
8//
9// Unless required by applicable law or agreed to in writing, software
10// distributed under the License is distributed on an "AS IS" BASIS,
11// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
12// See the License for the specific language governing permissions and
13// limitations under the License.
14
15//! Context for iterating bulk memtable.
16
17use std::collections::VecDeque;
18use std::sync::Arc;
19
20use mito_codec::row_converter::{DensePrimaryKeyCodec, build_primary_key_codec};
21use parquet::file::metadata::ParquetMetaData;
22use store_api::metadata::RegionMetadataRef;
23use store_api::storage::ColumnId;
24use table::predicate::Predicate;
25
26use crate::error::Result;
27use crate::sst::parquet::file_range::RangeBase;
28use crate::sst::parquet::flat_format::FlatReadFormat;
29use crate::sst::parquet::format::ReadFormat;
30use crate::sst::parquet::reader::SimpleFilterContext;
31use crate::sst::parquet::stats::RowGroupPruningStats;
32
33pub(crate) type BulkIterContextRef = Arc<BulkIterContext>;
34
35pub struct BulkIterContext {
36    pub(crate) base: RangeBase,
37    pub(crate) predicate: Option<Predicate>,
38}
39
40impl BulkIterContext {
41    pub fn new(
42        region_metadata: RegionMetadataRef,
43        projection: Option<&[ColumnId]>,
44        predicate: Option<Predicate>,
45        skip_auto_convert: bool,
46    ) -> Result<Self> {
47        let codec = build_primary_key_codec(&region_metadata);
48
49        let simple_filters = predicate
50            .as_ref()
51            .iter()
52            .flat_map(|predicate| {
53                predicate
54                    .exprs()
55                    .iter()
56                    .filter_map(|expr| SimpleFilterContext::new_opt(&region_metadata, None, expr))
57            })
58            .collect();
59
60        let read_format = ReadFormat::new(
61            region_metadata,
62            projection,
63            true,
64            None,
65            "memtable",
66            skip_auto_convert,
67        )?;
68
69        Ok(Self {
70            base: RangeBase {
71                filters: simple_filters,
72                read_format,
73                codec,
74                // we don't need to compat batch since all batch in memtable have the same schema.
75                compat_batch: None,
76            },
77            predicate,
78        })
79    }
80
81    /// Prunes row groups by stats.
82    pub(crate) fn row_groups_to_read(&self, file_meta: &Arc<ParquetMetaData>) -> VecDeque<usize> {
83        let region_meta = self.base.read_format.metadata();
84        let row_groups = file_meta.row_groups();
85        // expected_metadata is set to None since we always expect region metadata of memtable is up-to-date.
86        let stats = RowGroupPruningStats::new(row_groups, &self.base.read_format, None);
87        if let Some(predicate) = self.predicate.as_ref() {
88            predicate
89                .prune_with_stats(&stats, region_meta.schema.arrow_schema())
90                .iter()
91                .zip(0..file_meta.num_row_groups())
92                .filter_map(|(selected, row_group)| {
93                    if !*selected {
94                        return None;
95                    }
96                    Some(row_group)
97                })
98                .collect::<VecDeque<_>>()
99        } else {
100            (0..file_meta.num_row_groups()).collect()
101        }
102    }
103
104    pub(crate) fn read_format(&self) -> &ReadFormat {
105        &self.base.read_format
106    }
107}
mito2/memtable/bulk/context.rs

mito2/memtable/bulk/
context.rs
