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* refactor: change traversal order during index construction Signed-off-by: Zhenchi <zhongzc_arch@outlook.com> * chain Co-authored-by: jeremyhi <jiachun_feng@proton.me> --------- Signed-off-by: Zhenchi <zhongzc_arch@outlook.com> Co-authored-by: jeremyhi <jiachun_feng@proton.me>
190 lines
6.5 KiB
Rust
190 lines
6.5 KiB
Rust
// Copyright 2023 Greptime Team
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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use std::collections::HashMap;
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use std::sync::Arc;
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use datatypes::data_type::ConcreteDataType;
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use datatypes::value::ValueRef;
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use memcomparable::Serializer;
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use snafu::{ensure, OptionExt, ResultExt};
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use store_api::codec::PrimaryKeyEncoding;
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use store_api::metadata::ColumnMetadata;
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use store_api::storage::ColumnId;
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use crate::error::{FieldTypeMismatchSnafu, IndexEncodeNullSnafu, Result};
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use crate::row_converter::{build_primary_key_codec_with_fields, PrimaryKeyCodec, SortField};
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/// Encodes index values according to their data types for sorting and storage use.
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pub struct IndexValueCodec;
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impl IndexValueCodec {
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/// Serializes a non-null `ValueRef` using the data type defined in `SortField` and writes
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/// the result into a buffer.
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///
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/// For `String` data types, we don't serialize it via memcomparable, but directly write the
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/// bytes into the buffer, since we have to keep the original string for searching with regex.
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///
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/// # Arguments
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/// * `value` - The value to be encoded.
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/// * `field` - Contains data type to guide serialization.
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/// * `buffer` - Destination buffer for the serialized value.
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pub fn encode_nonnull_value(
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value: ValueRef,
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field: &SortField,
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buffer: &mut Vec<u8>,
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) -> Result<()> {
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ensure!(!value.is_null(), IndexEncodeNullSnafu);
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if matches!(field.data_type, ConcreteDataType::String(_)) {
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let value = value
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.as_string()
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.context(FieldTypeMismatchSnafu)?
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.context(IndexEncodeNullSnafu)?;
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buffer.extend_from_slice(value.as_bytes());
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Ok(())
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} else {
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buffer.reserve(field.estimated_size());
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let mut serializer = Serializer::new(buffer);
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field.serialize(&mut serializer, &value)
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}
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}
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}
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pub struct PkColInfo {
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pub idx: usize,
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pub field: SortField,
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}
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impl PkColInfo {
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pub fn new(idx: usize, field: SortField) -> Self {
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Self { idx, field }
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}
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}
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/// Decodes primary key values into their corresponding column ids, data types and values.
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pub struct IndexValuesCodec {
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/// Column ids -> column info mapping.
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columns_mapping: HashMap<ColumnId, PkColInfo>,
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/// The decoder for the primary key.
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decoder: Arc<dyn PrimaryKeyCodec>,
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}
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impl IndexValuesCodec {
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/// Creates a new `IndexValuesCodec` from a list of `ColumnMetadata` of tag columns.
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pub fn from_tag_columns<'a>(
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primary_key_encoding: PrimaryKeyEncoding,
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tag_columns: impl Iterator<Item = &'a ColumnMetadata>,
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) -> Self {
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let (columns_mapping, fields): (HashMap<ColumnId, PkColInfo>, Vec<(ColumnId, SortField)>) =
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tag_columns
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.enumerate()
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.map(|(idx, column)| {
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let col_id = column.column_id;
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let field = SortField::new(column.column_schema.data_type.clone());
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let pk_col_info = PkColInfo::new(idx, field.clone());
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((col_id, pk_col_info), (col_id, field))
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})
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.unzip();
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let decoder = build_primary_key_codec_with_fields(primary_key_encoding, fields.into_iter());
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Self {
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columns_mapping,
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decoder,
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}
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}
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pub fn pk_col_info(&self, column_id: ColumnId) -> Option<&PkColInfo> {
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self.columns_mapping.get(&column_id)
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}
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pub fn decoder(&self) -> &dyn PrimaryKeyCodec {
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self.decoder.as_ref()
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}
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}
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#[cfg(test)]
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mod tests {
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use datatypes::data_type::ConcreteDataType;
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use datatypes::schema::ColumnSchema;
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use datatypes::value::Value;
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use store_api::metadata::ColumnMetadata;
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use super::*;
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use crate::error::Error;
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use crate::row_converter::{DensePrimaryKeyCodec, PrimaryKeyCodecExt, SortField};
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#[test]
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fn test_encode_value_basic() {
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let value = ValueRef::from("hello");
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let field = SortField::new(ConcreteDataType::string_datatype());
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let mut buffer = Vec::new();
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IndexValueCodec::encode_nonnull_value(value, &field, &mut buffer).unwrap();
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assert!(!buffer.is_empty());
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}
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#[test]
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fn test_encode_value_type_mismatch() {
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let value = ValueRef::from("hello");
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let field = SortField::new(ConcreteDataType::int64_datatype());
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let mut buffer = Vec::new();
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let res = IndexValueCodec::encode_nonnull_value(value, &field, &mut buffer);
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assert!(matches!(res, Err(Error::FieldTypeMismatch { .. })));
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}
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#[test]
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fn test_encode_null_value() {
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let value = ValueRef::Null;
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let field = SortField::new(ConcreteDataType::string_datatype());
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let mut buffer = Vec::new();
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let res = IndexValueCodec::encode_nonnull_value(value, &field, &mut buffer);
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assert!(matches!(res, Err(Error::IndexEncodeNull { .. })));
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}
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#[test]
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fn test_decode_primary_key_basic() {
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let tag_columns = vec![
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ColumnMetadata {
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column_schema: ColumnSchema::new("tag0", ConcreteDataType::string_datatype(), true),
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semantic_type: api::v1::SemanticType::Tag,
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column_id: 1,
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},
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ColumnMetadata {
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column_schema: ColumnSchema::new("tag1", ConcreteDataType::int64_datatype(), false),
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semantic_type: api::v1::SemanticType::Tag,
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column_id: 2,
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},
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];
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let primary_key = DensePrimaryKeyCodec::with_fields(vec![
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(0, SortField::new(ConcreteDataType::string_datatype())),
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(1, SortField::new(ConcreteDataType::int64_datatype())),
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])
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.encode([ValueRef::Null, ValueRef::Int64(10)].into_iter())
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.unwrap();
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let codec =
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IndexValuesCodec::from_tag_columns(PrimaryKeyEncoding::Dense, tag_columns.iter());
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let values = codec.decoder().decode(&primary_key).unwrap().into_dense();
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assert_eq!(values.len(), 2);
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assert_eq!(values[0], Value::Null);
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assert_eq!(values[1], Value::Int64(10));
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}
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}
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