mirror of
https://github.com/quickwit-oss/tantivy.git
synced 2026-01-10 11:02:55 +00:00
Removed the sorting logic that forced column type to be sorted like (#1816)
* Removed the sorting logic that forced column type to be sorted like ColumnTypes. * add comments Co-authored-by: PSeitz <PSeitz@users.noreply.github.com>
This commit is contained in:
@@ -3,24 +3,22 @@ use std::net::Ipv6Addr;
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use crate::value::NumericalType;
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use crate::InvalidData;
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/// The column type represents the column type and can fit on 6-bits.
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///
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/// - bits[0..3]: Column category type.
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/// - bits[3..6]: Numerical type if necessary.
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#[derive(Hash, Eq, PartialEq, Debug, Clone, Copy)]
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/// The column type represents the column type.
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/// Any changes need to be propagated to `COLUMN_TYPES`.
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#[derive(Hash, Eq, PartialEq, Debug, Clone, Copy, Ord, PartialOrd)]
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#[repr(u8)]
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pub enum ColumnType {
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I64 = 0u8,
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U64 = 1u8,
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F64 = 2u8,
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Bytes = 10u8,
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Str = 14u8,
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Bool = 18u8,
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IpAddr = 22u8,
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DateTime = 26u8,
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Bytes = 3u8,
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Str = 4u8,
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Bool = 5u8,
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IpAddr = 6u8,
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DateTime = 7u8,
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}
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#[cfg(test)]
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// The order needs to match _exactly_ the order in the enum
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const COLUMN_TYPES: [ColumnType; 8] = [
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ColumnType::I64,
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ColumnType::U64,
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@@ -38,18 +36,7 @@ impl ColumnType {
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}
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pub(crate) fn try_from_code(code: u8) -> Result<ColumnType, InvalidData> {
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use ColumnType::*;
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match code {
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0u8 => Ok(I64),
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1u8 => Ok(U64),
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2u8 => Ok(F64),
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10u8 => Ok(Bytes),
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14u8 => Ok(Str),
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18u8 => Ok(Bool),
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22u8 => Ok(IpAddr),
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26u8 => Ok(Self::DateTime),
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_ => Err(InvalidData),
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}
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COLUMN_TYPES.get(code as usize).copied().ok_or(InvalidData)
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}
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}
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@@ -64,18 +51,6 @@ impl From<NumericalType> for ColumnType {
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}
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impl ColumnType {
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/// get column type category
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pub(crate) fn column_type_category(self) -> ColumnTypeCategory {
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match self {
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ColumnType::I64 | ColumnType::U64 | ColumnType::F64 => ColumnTypeCategory::Numerical,
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ColumnType::Bytes => ColumnTypeCategory::Bytes,
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ColumnType::Str => ColumnTypeCategory::Str,
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ColumnType::Bool => ColumnTypeCategory::Bool,
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ColumnType::IpAddr => ColumnTypeCategory::IpAddr,
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ColumnType::DateTime => ColumnTypeCategory::DateTime,
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}
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}
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pub fn numerical_type(&self) -> Option<NumericalType> {
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match self {
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ColumnType::I64 => Some(NumericalType::I64),
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@@ -154,70 +129,20 @@ impl HasAssociatedColumnType for Ipv6Addr {
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}
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}
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/// Column types are grouped into different categories that
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/// corresponds to the different types of `JsonValue` types.
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///
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/// The columnar writer will apply coercion rules to make sure that
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/// at most one column exist per `ColumnTypeCategory`.
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///
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/// See also [README.md].
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#[derive(Copy, Clone, Ord, PartialOrd, Eq, PartialEq, Hash, Debug)]
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#[repr(u8)]
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pub enum ColumnTypeCategory {
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Bool,
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Str,
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Numerical,
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DateTime,
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Bytes,
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IpAddr,
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}
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impl From<ColumnType> for ColumnTypeCategory {
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fn from(column_type: ColumnType) -> Self {
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match column_type {
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ColumnType::I64 => ColumnTypeCategory::Numerical,
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ColumnType::U64 => ColumnTypeCategory::Numerical,
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ColumnType::F64 => ColumnTypeCategory::Numerical,
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ColumnType::Bytes => ColumnTypeCategory::Bytes,
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ColumnType::Str => ColumnTypeCategory::Str,
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ColumnType::Bool => ColumnTypeCategory::Bool,
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ColumnType::IpAddr => ColumnTypeCategory::IpAddr,
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ColumnType::DateTime => ColumnTypeCategory::DateTime,
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}
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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 std::collections::HashSet;
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use super::*;
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use crate::Cardinality;
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#[test]
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fn test_column_type_to_code() {
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let mut column_type_set: HashSet<ColumnType> = HashSet::new();
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for code in u8::MIN..=u8::MAX {
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if let Ok(column_type) = ColumnType::try_from_code(code) {
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assert_eq!(column_type.to_code(), code);
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assert!(column_type_set.insert(column_type));
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for (code, expected_column_type) in super::COLUMN_TYPES.iter().copied().enumerate() {
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if let Ok(column_type) = ColumnType::try_from_code(code as u8) {
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assert_eq!(column_type, expected_column_type);
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}
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}
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assert_eq!(column_type_set.len(), super::COLUMN_TYPES.len());
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}
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#[test]
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fn test_column_category_sort_consistent_with_column_type_sort() {
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// This is a very important property because we
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// we need to serialize colunmn in the right order.
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let mut column_types: Vec<ColumnType> = super::COLUMN_TYPES.iter().copied().collect();
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column_types.sort_by_key(|col| col.to_code());
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let column_categories: Vec<ColumnTypeCategory> = column_types
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.into_iter()
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.map(ColumnTypeCategory::from)
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.collect();
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for (prev, next) in column_categories.iter().zip(column_categories.iter()) {
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assert!(prev <= next);
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for code in COLUMN_TYPES.len() as u8..=u8::MAX {
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assert!(ColumnType::try_from_code(code as u8).is_err());
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}
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}
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@@ -1,9 +1,9 @@
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use std::collections::HashMap;
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use std::io;
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use super::column_type::ColumnTypeCategory;
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use crate::columnar::ColumnarReader;
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use crate::dynamic_column::DynamicColumn;
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use crate::ColumnType;
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pub enum MergeDocOrder {
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/// Columnar tables are simply stacked one above the other.
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@@ -35,7 +35,40 @@ pub fn merge_columnar(
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}
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}
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pub fn collect_columns(
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/// Column types are grouped into different categories.
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/// After merge, all columns belonging to the same category are coerced to
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/// the same column type.
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///
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/// In practise, today, only Numerical colummns are coerced into one type today.
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///
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/// See also [README.md].
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#[derive(Copy, Clone, Eq, PartialEq, Hash, Debug)]
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#[repr(u8)]
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enum ColumnTypeCategory {
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Bool,
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Str,
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Numerical,
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DateTime,
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Bytes,
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IpAddr,
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}
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impl From<ColumnType> for ColumnTypeCategory {
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fn from(column_type: ColumnType) -> Self {
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match column_type {
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ColumnType::I64 => ColumnTypeCategory::Numerical,
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ColumnType::U64 => ColumnTypeCategory::Numerical,
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ColumnType::F64 => ColumnTypeCategory::Numerical,
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ColumnType::Bytes => ColumnTypeCategory::Bytes,
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ColumnType::Str => ColumnTypeCategory::Str,
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ColumnType::Bool => ColumnTypeCategory::Bool,
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ColumnType::IpAddr => ColumnTypeCategory::IpAddr,
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ColumnType::DateTime => ColumnTypeCategory::DateTime,
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}
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}
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}
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fn collect_columns(
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columnar_readers: &[&ColumnarReader],
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) -> io::Result<HashMap<String, HashMap<ColumnTypeCategory, Vec<DynamicColumn>>>> {
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// Each column name may have multiple types of column associated.
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@@ -51,7 +84,7 @@ pub fn collect_columns(
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.or_default();
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let columns = column_type_to_handles
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.entry(handle.column_type().column_type_category())
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.entry(handle.column_type().into())
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.or_default();
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columns.push(handle.open()?);
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}
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@@ -62,10 +95,9 @@ pub fn collect_columns(
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Ok(field_name_to_group)
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}
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/// Cast numerical type columns to the same type
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pub(crate) fn normalize_columns(
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map: &mut HashMap<String, HashMap<ColumnTypeCategory, Vec<DynamicColumn>>>,
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) {
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/// Coerce numerical type columns to the same type
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/// TODO rename to `coerce_columns`
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fn normalize_columns(map: &mut HashMap<String, HashMap<ColumnTypeCategory, Vec<DynamicColumn>>>) {
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for (_field_name, type_category_to_columns) in map.iter_mut() {
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for (type_category, columns) in type_category_to_columns {
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if type_category == &ColumnTypeCategory::Numerical {
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@@ -184,10 +184,12 @@ impl CompatibleNumericalTypes {
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}
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impl NumericalColumnWriter {
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pub fn column_type_and_cardinality(&self, num_docs: RowId) -> (NumericalType, Cardinality) {
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let numerical_type = self.compatible_numerical_types.to_numerical_type();
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let cardinality = self.column_writer.get_cardinality(num_docs);
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(numerical_type, cardinality)
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pub fn numerical_type(&self) -> NumericalType {
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self.compatible_numerical_types.to_numerical_type()
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}
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pub fn cardinality(&self, num_docs: RowId) -> Cardinality {
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self.column_writer.get_cardinality(num_docs)
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}
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pub fn record_numerical_value(
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@@ -15,7 +15,7 @@ use crate::column_index::SerializableColumnIndex;
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use crate::column_values::{
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ColumnValues, MonotonicallyMappableToU128, MonotonicallyMappableToU64, VecColumn,
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};
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use crate::columnar::column_type::{ColumnType, ColumnTypeCategory};
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use crate::columnar::column_type::ColumnType;
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use crate::columnar::writer::column_writers::{
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ColumnWriter, NumericalColumnWriter, StrOrBytesColumnWriter,
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};
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@@ -276,35 +276,40 @@ impl ColumnarWriter {
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}
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pub fn serialize(&mut self, num_docs: RowId, wrt: &mut dyn io::Write) -> io::Result<()> {
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let mut serializer = ColumnarSerializer::new(wrt);
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let mut columns: Vec<(&[u8], ColumnTypeCategory, Addr)> = self
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let mut columns: Vec<(&[u8], ColumnType, Addr)> = self
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.numerical_field_hash_map
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.iter()
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.map(|(column_name, addr, _)| (column_name, ColumnTypeCategory::Numerical, addr))
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.map(|(column_name, addr, _)| {
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let numerical_column_writer: NumericalColumnWriter =
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self.numerical_field_hash_map.read(addr);
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let column_type = numerical_column_writer.numerical_type().into();
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(column_name, column_type, addr)
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})
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.collect();
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columns.extend(
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self.bytes_field_hash_map
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.iter()
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.map(|(term, addr, _)| (term, ColumnTypeCategory::Bytes, addr)),
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.map(|(term, addr, _)| (term, ColumnType::Bytes, addr)),
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);
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columns.extend(
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self.str_field_hash_map
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.iter()
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.map(|(column_name, addr, _)| (column_name, ColumnTypeCategory::Str, addr)),
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.map(|(column_name, addr, _)| (column_name, ColumnType::Str, addr)),
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);
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columns.extend(
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self.bool_field_hash_map
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.iter()
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.map(|(column_name, addr, _)| (column_name, ColumnTypeCategory::Bool, addr)),
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.map(|(column_name, addr, _)| (column_name, ColumnType::Bool, addr)),
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);
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columns.extend(
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self.ip_addr_field_hash_map
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.iter()
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.map(|(column_name, addr, _)| (column_name, ColumnTypeCategory::IpAddr, addr)),
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.map(|(column_name, addr, _)| (column_name, ColumnType::IpAddr, addr)),
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);
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columns.extend(
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self.datetime_field_hash_map
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.iter()
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.map(|(column_name, addr, _)| (column_name, ColumnTypeCategory::DateTime, addr)),
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.map(|(column_name, addr, _)| (column_name, ColumnType::DateTime, addr)),
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);
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columns.sort_unstable_by_key(|(column_name, col_type, _)| (*column_name, *col_type));
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@@ -312,8 +317,12 @@ impl ColumnarWriter {
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let mut symbol_byte_buffer: Vec<u8> = Vec::new();
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for (column_name, column_type, addr) in columns {
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match column_type {
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ColumnTypeCategory::Bool => {
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let column_writer: ColumnWriter = self.bool_field_hash_map.read(addr);
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ColumnType::Bool | ColumnType::DateTime => {
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let column_writer: ColumnWriter = if column_type == ColumnType::Bool {
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self.bool_field_hash_map.read(addr)
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} else {
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self.datetime_field_hash_map.read(addr)
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};
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let cardinality = column_writer.get_cardinality(num_docs);
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let mut column_serializer =
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serializer.serialize_column(column_name, ColumnType::Bool);
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@@ -325,7 +334,7 @@ impl ColumnarWriter {
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&mut column_serializer,
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)?;
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}
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ColumnTypeCategory::IpAddr => {
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ColumnType::IpAddr => {
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let column_writer: ColumnWriter = self.ip_addr_field_hash_map.read(addr);
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let cardinality = column_writer.get_cardinality(num_docs);
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let mut column_serializer =
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@@ -338,32 +347,35 @@ impl ColumnarWriter {
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&mut column_serializer,
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)?;
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}
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ColumnTypeCategory::Bytes | ColumnTypeCategory::Str => {
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let (column_type, str_column_writer): (ColumnType, StrOrBytesColumnWriter) =
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if column_type == ColumnTypeCategory::Bytes {
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(ColumnType::Bytes, self.bytes_field_hash_map.read(addr))
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ColumnType::Bytes | ColumnType::Str => {
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let str_or_bytes_column_writer: StrOrBytesColumnWriter =
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if column_type == ColumnType::Bytes {
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self.bytes_field_hash_map.read(addr)
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} else {
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(ColumnType::Str, self.str_field_hash_map.read(addr))
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self.str_field_hash_map.read(addr)
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};
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let dictionary_builder =
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&dictionaries[str_column_writer.dictionary_id as usize];
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let cardinality = str_column_writer.column_writer.get_cardinality(num_docs);
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&dictionaries[str_or_bytes_column_writer.dictionary_id as usize];
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let cardinality = str_or_bytes_column_writer
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.column_writer
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.get_cardinality(num_docs);
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let mut column_serializer =
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serializer.serialize_column(column_name, column_type);
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serialize_bytes_or_str_column(
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cardinality,
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num_docs,
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dictionary_builder,
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str_column_writer.operation_iterator(arena, &mut symbol_byte_buffer),
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str_or_bytes_column_writer
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.operation_iterator(arena, &mut symbol_byte_buffer),
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buffers,
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&mut column_serializer,
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)?;
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}
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ColumnTypeCategory::Numerical => {
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ColumnType::I64 | ColumnType::F64 | ColumnType::U64 => {
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let numerical_column_writer: NumericalColumnWriter =
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self.numerical_field_hash_map.read(addr);
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let (numerical_type, cardinality) =
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numerical_column_writer.column_type_and_cardinality(num_docs);
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let numerical_type = column_type.numerical_type().unwrap();
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let cardinality = numerical_column_writer.cardinality(num_docs);
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let mut column_serializer =
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serializer.serialize_column(column_name, ColumnType::from(numerical_type));
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serialize_numerical_column(
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@@ -375,20 +387,6 @@ impl ColumnarWriter {
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&mut column_serializer,
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)?;
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}
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ColumnTypeCategory::DateTime => {
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let column_writer: ColumnWriter = self.datetime_field_hash_map.read(addr);
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let cardinality = column_writer.get_cardinality(num_docs);
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let mut column_serializer =
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serializer.serialize_column(column_name, ColumnType::DateTime);
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serialize_numerical_column(
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cardinality,
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num_docs,
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NumericalType::I64,
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column_writer.operation_iterator(arena, &mut symbol_byte_buffer),
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buffers,
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&mut column_serializer,
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)?;
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}
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};
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}
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serializer.finalize()?;
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