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3 Commits

Author SHA1 Message Date
Paul Masurel
b91c37ab2b bumping columnar version 2024-06-11 16:38:10 +09:00
Paul Masurel
ec7379477c low hanging fruit in optimization 2024-06-11 16:25:20 +09:00
Paul Masurel
31b78b59dd DONOTMERGE: Hack placing a optional index in front of multivalued indexes.
The point is to avoid the large overhead added to computing the start
offset index when a column is for the most part sparse.
2024-06-11 16:22:49 +09:00
31 changed files with 1058 additions and 998 deletions

View File

@@ -22,7 +22,7 @@ impl Display for Card {
}
}
const NUM_DOCS: u32 = 1_000_000;
const NUM_DOCS: u32 = 100_000;
fn generate_columnar(card: Card, num_docs: u32) -> ColumnarReader {
use tantivy_columnar::ColumnarWriter;
@@ -88,8 +88,12 @@ fn main() {
let columnar_readers = columnar_readers.iter().collect::<Vec<_>>();
let merge_row_order = StackMergeOrder::stack(&columnar_readers[..]);
merge_columnar(&columnar_readers, &[], merge_row_order.into(), &mut out).unwrap();
black_box(out);
let _ = black_box(merge_columnar(
&columnar_readers,
&[],
merge_row_order.into(),
&mut out,
));
},
);
}

View File

@@ -73,18 +73,14 @@ fn detect_cardinality(
pub fn merge_column_index<'a>(
columns: &'a [ColumnIndex],
merge_row_order: &'a MergeRowOrder,
num_values: u32,
) -> SerializableColumnIndex<'a> {
// For simplification, we do not try to detect whether the cardinality could be
// downgraded thanks to deletes.
let cardinality_after_merge = detect_cardinality(columns, merge_row_order);
match merge_row_order {
MergeRowOrder::Stack(stack_merge_order) => merge_column_index_stacked(
columns,
cardinality_after_merge,
stack_merge_order,
num_values,
),
MergeRowOrder::Stack(stack_merge_order) => {
merge_column_index_stacked(columns, cardinality_after_merge, stack_merge_order)
}
MergeRowOrder::Shuffled(complex_merge_order) => {
merge_column_index_shuffled(columns, cardinality_after_merge, complex_merge_order)
}
@@ -154,69 +150,62 @@ mod tests {
);
}
#[test]
fn test_merge_index_multivalued_sorted() {
let column_indexes: Vec<ColumnIndex> = vec![MultiValueIndex::for_test(&[0, 2, 5]).into()];
let merge_row_order: MergeRowOrder = ShuffleMergeOrder::for_test(
&[2],
vec![
RowAddr {
segment_ord: 0u32,
row_id: 1u32,
},
RowAddr {
segment_ord: 0u32,
row_id: 0u32,
},
],
)
.into();
let merged_column_index = merge_column_index(&column_indexes[..], &merge_row_order, 3);
let SerializableColumnIndex::Multivalued {
indices: start_index_iterable,
..
} = merged_column_index
else {
panic!("Excpected a multivalued index")
};
let start_indexes: Vec<RowId> = start_index_iterable.boxed_iter().collect();
assert_eq!(&start_indexes, &[0, 3, 5]);
}
// #[test]
// fn test_merge_index_multivalued_sorted() {
// let column_indexes: Vec<ColumnIndex> = vec![MultiValueIndex::for_test(&[0, 2,
// 5]).into()]; let merge_row_order: MergeRowOrder = ShuffleMergeOrder::for_test(
// &[2],
// vec![
// RowAddr {
// segment_ord: 0u32,
// row_id: 1u32,
// },
// RowAddr {
// segment_ord: 0u32,
// row_id: 0u32,
// },
// ],
// )
// .into();
// let merged_column_index = merge_column_index(&column_indexes[..], &merge_row_order);
// let SerializableColumnIndex::Multivalued(serializable_multivalue_index) =
// merged_column_index else { panic!("Excpected a multivalued index")
// };
// serializable_multivalue_index.doc_ids_with_values_opt.
// let start_indexes: Vec<RowId> = start_index_iterable.boxed_iter().collect();
// assert_eq!(&start_indexes, &[0, 3, 5]);
// }
#[test]
fn test_merge_index_multivalued_sorted_several_segment() {
let column_indexes: Vec<ColumnIndex> = vec![
MultiValueIndex::for_test(&[0, 2, 5]).into(),
ColumnIndex::Empty { num_docs: 0 },
MultiValueIndex::for_test(&[0, 1, 4]).into(),
];
let merge_row_order: MergeRowOrder = ShuffleMergeOrder::for_test(
&[2, 0, 2],
vec![
RowAddr {
segment_ord: 2u32,
row_id: 1u32,
},
RowAddr {
segment_ord: 0u32,
row_id: 0u32,
},
RowAddr {
segment_ord: 2u32,
row_id: 0u32,
},
],
)
.into();
let merged_column_index = merge_column_index(&column_indexes[..], &merge_row_order, 6);
let SerializableColumnIndex::Multivalued {
indices: start_index_iterable,
..
} = merged_column_index
else {
panic!("Excpected a multivalued index")
};
let start_indexes: Vec<RowId> = start_index_iterable.boxed_iter().collect();
assert_eq!(&start_indexes, &[0, 3, 5, 6]);
}
// #[test]
// fn test_merge_index_multivalued_sorted_several_segment() {
// let column_indexes: Vec<ColumnIndex> = vec![
// MultiValueIndex::for_test(&[0, 2, 5]).into(),
// ColumnIndex::Empty { num_docs: 0 },
// MultiValueIndex::for_test(&[0, 1, 4]).into(),
// ];
// let merge_row_order: MergeRowOrder = ShuffleMergeOrder::for_test(
// &[2, 0, 2],
// vec![
// RowAddr {
// segment_ord: 2u32,
// row_id: 1u32,
// },
// RowAddr {
// segment_ord: 0u32,
// row_id: 0u32,
// },
// RowAddr {
// segment_ord: 2u32,
// row_id: 0u32,
// },
// ],
// )
// .into();
// let merged_column_index = merge_column_index(&column_indexes[..], &merge_row_order);
// let SerializableColumnIndex::Multivalued(serializable_multivalue_index) =
// merged_column_index else { panic!("Excpected a multivalued index")
// };
// let start_indexes: Vec<RowId> = start_index_iterable.boxed_iter().collect();
// assert_eq!(&start_indexes, &[0, 3, 5, 6]);
// }
}

View File

@@ -9,25 +9,23 @@ pub fn merge_column_index_shuffled<'a>(
cardinality_after_merge: Cardinality,
shuffle_merge_order: &'a ShuffleMergeOrder,
) -> SerializableColumnIndex<'a> {
match cardinality_after_merge {
Cardinality::Full => SerializableColumnIndex::Full,
Cardinality::Optional => {
let non_null_row_ids =
merge_column_index_shuffled_optional(column_indexes, shuffle_merge_order);
SerializableColumnIndex::Optional {
non_null_row_ids,
num_rows: shuffle_merge_order.num_rows(),
}
}
Cardinality::Multivalued => {
let multivalue_start_index =
merge_column_index_shuffled_multivalued(column_indexes, shuffle_merge_order);
SerializableColumnIndex::Multivalued {
indices: multivalue_start_index,
stats: None,
}
}
}
todo!();
// match cardinality_after_merge {
// Cardinality::Full => SerializableColumnIndex::Full,
// Cardinality::Optional => {
// let non_null_row_ids =
// merge_column_index_shuffled_optional(column_indexes, shuffle_merge_order);
// SerializableColumnIndex::Optional {
// non_null_row_ids,
// num_rows: shuffle_merge_order.num_rows(),
// }
// }
// Cardinality::Multivalued => {
// let multivalue_start_index =
// merge_column_index_shuffled_multivalued(column_indexes, shuffle_merge_order);
// SerializableColumnIndex::Multivalued(multivalue_start_index)
// }
// }
}
/// Merge several column indexes into one, ordering rows according to the merge_order passed as
@@ -140,35 +138,35 @@ mod tests {
assert!(integrate_num_vals([3, 0, 10, 20].into_iter()).eq([0, 3, 3, 13, 33].into_iter()));
}
#[test]
fn test_merge_column_index_optional_shuffle() {
let optional_index: ColumnIndex = OptionalIndex::for_test(2, &[0]).into();
let column_indexes = [optional_index, ColumnIndex::Full];
let row_addrs = vec![
RowAddr {
segment_ord: 0u32,
row_id: 1u32,
},
RowAddr {
segment_ord: 1u32,
row_id: 0u32,
},
];
let shuffle_merge_order = ShuffleMergeOrder::for_test(&[2, 1], row_addrs);
let serializable_index = merge_column_index_shuffled(
&column_indexes[..],
Cardinality::Optional,
&shuffle_merge_order,
);
let SerializableColumnIndex::Optional {
non_null_row_ids,
num_rows,
} = serializable_index
else {
panic!()
};
assert_eq!(num_rows, 2);
let non_null_rows: Vec<RowId> = non_null_row_ids.boxed_iter().collect();
assert_eq!(&non_null_rows, &[1]);
}
// #[test]
// fn test_merge_column_index_optional_shuffle() {
// let optional_index: ColumnIndex = OptionalIndex::for_test(2, &[0]).into();
// let column_indexes = [optional_index, ColumnIndex::Full];
// let row_addrs = vec![
// RowAddr {
// segment_ord: 0u32,
// row_id: 1u32,
// },
// RowAddr {
// segment_ord: 1u32,
// row_id: 0u32,
// },
// ];
// let shuffle_merge_order = ShuffleMergeOrder::for_test(&[2, 1], row_addrs);
// let serializable_index = merge_column_index_shuffled(
// &column_indexes[..],
// Cardinality::Optional,
// &shuffle_merge_order,
// );
// let SerializableColumnIndex::Optional {
// non_null_row_ids,
// num_rows,
// } = serializable_index
// else {
// panic!()
// };
// assert_eq!(num_rows, 2);
// let non_null_rows: Vec<RowId> = non_null_row_ids.boxed_iter().collect();
// assert_eq!(&non_null_rows, &[1]);
// }
}

View File

@@ -1,8 +1,8 @@
use std::iter;
use std::num::NonZeroU64;
use std::ops::Range;
use crate::column_index::{SerializableColumnIndex, Set};
use crate::column_values::ColumnStats;
use crate::column_index::multivalued_index::SerializableMultivalueIndex;
use crate::column_index::serialize::SerializableOptionalIndex;
use crate::column_index::SerializableColumnIndex;
use crate::iterable::Iterable;
use crate::{Cardinality, ColumnIndex, RowId, StackMergeOrder};
@@ -14,37 +14,143 @@ pub fn merge_column_index_stacked<'a>(
columns: &'a [ColumnIndex],
cardinality_after_merge: Cardinality,
stack_merge_order: &'a StackMergeOrder,
num_values: u32,
) -> SerializableColumnIndex<'a> {
match cardinality_after_merge {
Cardinality::Full => SerializableColumnIndex::Full,
Cardinality::Optional => SerializableColumnIndex::Optional {
Cardinality::Optional => SerializableColumnIndex::Optional(SerializableOptionalIndex {
non_null_row_ids: Box::new(StackedOptionalIndex {
columns,
stack_merge_order,
}),
num_rows: stack_merge_order.num_rows(),
},
}),
Cardinality::Multivalued => {
let stacked_multivalued_index = StackedMultivaluedIndex {
columns,
stack_merge_order,
};
SerializableColumnIndex::Multivalued {
indices: Box::new(stacked_multivalued_index),
stats: Some(ColumnStats {
gcd: NonZeroU64::new(1).unwrap(),
// The values in the multivalue index are the positions of the values
min_value: 0,
max_value: num_values as u64,
// This is num docs, but it starts at 0 so we need +1
num_rows: stack_merge_order.num_rows() + 1,
}),
}
let serializable_multivalue_index =
make_serializable_multivalued_index(columns, stack_merge_order);
SerializableColumnIndex::Multivalued(serializable_multivalue_index)
}
}
}
struct StackedDocIdsWithValues<'a> {
column_indexes: &'a [ColumnIndex],
stack_merge_order: &'a StackMergeOrder,
}
impl Iterable<u32> for StackedDocIdsWithValues<'_> {
fn boxed_iter(&self) -> Box<dyn Iterator<Item = u32> + '_> {
Box::new((0..self.column_indexes.len()).flat_map(|i| {
let column_index = &self.column_indexes[i];
let doc_range = self.stack_merge_order.columnar_range(i);
get_doc_ids_with_values(column_index, doc_range)
}))
}
}
fn get_doc_ids_with_values<'a>(
column_index: &'a ColumnIndex,
doc_range: Range<u32>,
) -> Box<dyn Iterator<Item = u32> + 'a> {
match column_index {
ColumnIndex::Empty { .. } => Box::new(0..0),
ColumnIndex::Full => Box::new(doc_range),
ColumnIndex::Optional(optional_index) => Box::new(
optional_index
.iter_rows()
.map(move |row| row + doc_range.start),
),
ColumnIndex::Multivalued(multivalued_index) => Box::new(
multivalued_index
.optional_index
.iter_rows()
.map(move |row| row + doc_range.start),
),
}
}
fn stack_doc_ids_with_values<'a>(
column_indexes: &'a [ColumnIndex],
stack_merge_order: &'a StackMergeOrder,
) -> SerializableOptionalIndex<'a> {
let num_rows = stack_merge_order.num_rows();
SerializableOptionalIndex {
non_null_row_ids: Box::new(StackedDocIdsWithValues {
column_indexes,
stack_merge_order,
}),
num_rows,
}
}
struct StackedStartOffsets<'a> {
column_indexes: &'a [ColumnIndex],
stack_merge_order: &'a StackMergeOrder,
}
fn get_num_values_iterator<'a>(
column_index: &'a ColumnIndex,
num_docs: u32,
) -> Box<dyn Iterator<Item = u32> + 'a> {
match column_index {
ColumnIndex::Empty { .. } => Box::new(std::iter::empty()),
ColumnIndex::Full => Box::new(std::iter::repeat(1u32).take(num_docs as usize)),
ColumnIndex::Optional(optional_index) => {
Box::new(std::iter::repeat(1u32).take(optional_index.num_non_nulls() as usize))
}
ColumnIndex::Multivalued(multivalued_index) => {
let vals: Vec<u32> = multivalued_index.start_index_column.iter().collect();
Box::new(
multivalued_index
.start_index_column
.iter()
.scan(0u32, |previous_start_offset, current_start_offset| {
let num_vals = current_start_offset - *previous_start_offset;
*previous_start_offset = current_start_offset;
Some(num_vals)
})
.skip(1),
)
}
}
}
impl<'a> Iterable for StackedStartOffsets<'a> {
fn boxed_iter(&self) -> Box<dyn Iterator<Item = u64> + '_> {
let num_values_it = (0..self.column_indexes.len()).flat_map(|columnar_id| {
let num_docs = self.stack_merge_order.columnar_range(columnar_id).len() as u32;
let column_index = &self.column_indexes[columnar_id];
get_num_values_iterator(column_index, num_docs)
});
Box::new(std::iter::once(0u64).chain(num_values_it.into_iter().scan(
0u64,
|cumulated, el| {
*cumulated += el as u64;
Some(*cumulated)
},
)))
}
}
fn stack_start_offsets<'a>(
column_indexes: &'a [ColumnIndex],
stack_merge_order: &'a StackMergeOrder,
) -> Box<dyn Iterable + 'a> {
Box::new(StackedStartOffsets {
column_indexes,
stack_merge_order,
})
}
fn make_serializable_multivalued_index<'a>(
columns: &'a [ColumnIndex],
stack_merge_order: &'a StackMergeOrder,
) -> SerializableMultivalueIndex<'a> {
SerializableMultivalueIndex {
doc_ids_with_values: stack_doc_ids_with_values(columns, stack_merge_order),
start_offsets: stack_start_offsets(columns, stack_merge_order),
}
}
struct StackedOptionalIndex<'a> {
columns: &'a [ColumnIndex],
stack_merge_order: &'a StackMergeOrder,
@@ -75,87 +181,3 @@ impl<'a> Iterable<RowId> for StackedOptionalIndex<'a> {
)
}
}
#[derive(Clone, Copy)]
struct StackedMultivaluedIndex<'a> {
columns: &'a [ColumnIndex],
stack_merge_order: &'a StackMergeOrder,
}
fn convert_column_opt_to_multivalued_index<'a>(
column_index_opt: &'a ColumnIndex,
num_rows: RowId,
) -> Box<dyn Iterator<Item = RowId> + 'a> {
match column_index_opt {
ColumnIndex::Empty { .. } => Box::new(iter::repeat(0u32).take(num_rows as usize + 1)),
ColumnIndex::Full => Box::new(0..num_rows + 1),
ColumnIndex::Optional(optional_index) => {
Box::new(
(0..num_rows)
// TODO optimize
.map(|row_id| optional_index.rank(row_id))
.chain(std::iter::once(optional_index.num_non_nulls())),
)
}
ColumnIndex::Multivalued(multivalued_index) => multivalued_index.start_index_column.iter(),
}
}
impl<'a> Iterable<RowId> for StackedMultivaluedIndex<'a> {
fn boxed_iter(&self) -> Box<dyn Iterator<Item = RowId> + '_> {
let multivalued_indexes =
self.columns
.iter()
.enumerate()
.map(|(columnar_id, column_opt)| {
let num_rows =
self.stack_merge_order.columnar_range(columnar_id).len() as RowId;
convert_column_opt_to_multivalued_index(column_opt, num_rows)
});
stack_multivalued_indexes(multivalued_indexes)
}
}
// Refactor me
fn stack_multivalued_indexes<'a>(
mut multivalued_indexes: impl Iterator<Item = Box<dyn Iterator<Item = RowId> + 'a>> + 'a,
) -> Box<dyn Iterator<Item = RowId> + 'a> {
let mut offset = 0;
let mut last_row_id = 0;
let mut current_it = multivalued_indexes.next();
Box::new(std::iter::from_fn(move || loop {
if let Some(row_id) = current_it.as_mut()?.next() {
last_row_id = offset + row_id;
return Some(last_row_id);
}
offset = last_row_id;
loop {
current_it = multivalued_indexes.next();
if current_it.as_mut()?.next().is_some() {
break;
}
}
}))
}
#[cfg(test)]
mod tests {
use crate::RowId;
fn it<'a>(row_ids: &'a [RowId]) -> Box<dyn Iterator<Item = RowId> + 'a> {
Box::new(row_ids.iter().copied())
}
#[test]
fn test_stack() {
let columns = [
it(&[0u32, 0u32]),
it(&[0u32, 1u32, 1u32, 4u32]),
it(&[0u32, 3u32, 5u32]),
it(&[0u32, 4u32]),
]
.into_iter();
let start_offsets: Vec<RowId> = super::stack_multivalued_indexes(columns).collect();
assert_eq!(start_offsets, &[0, 0, 1, 1, 4, 7, 9, 13]);
}
}

View File

@@ -11,8 +11,11 @@ mod serialize;
use std::ops::Range;
pub use merge::merge_column_index;
pub(crate) use multivalued_index::SerializableMultivalueIndex;
pub use optional_index::{OptionalIndex, Set};
pub use serialize::{open_column_index, serialize_column_index, SerializableColumnIndex};
pub use serialize::{
open_column_index, serialize_column_index, SerializableColumnIndex, SerializableOptionalIndex,
};
use crate::column_index::multivalued_index::MultiValueIndex;
use crate::{Cardinality, DocId, RowId};

View File

@@ -3,44 +3,64 @@ use std::io::Write;
use std::ops::Range;
use std::sync::Arc;
use common::OwnedBytes;
use common::{CountingWriter, OwnedBytes};
use super::optional_index::{open_optional_index, serialize_optional_index};
use super::{OptionalIndex, SerializableOptionalIndex, Set};
use crate::column_values::{
load_u64_based_column_values, serialize_u64_based_column_values,
serialize_u64_with_codec_and_stats, CodecType, ColumnStats, ColumnValues,
load_u64_based_column_values, serialize_u64_based_column_values, CodecType, ColumnValues,
};
use crate::iterable::Iterable;
use crate::{DocId, RowId};
pub fn serialize_multivalued_index(
multivalued_index: &dyn Iterable<RowId>,
stats: Option<ColumnStats>,
pub struct SerializableMultivalueIndex<'a> {
pub doc_ids_with_values: SerializableOptionalIndex<'a>,
pub start_offsets: Box<dyn Iterable<u64> + 'a>,
}
pub fn serialize_multivalued_index<'a>(
multivalued_index: &SerializableMultivalueIndex<'a>,
output: &mut impl Write,
) -> io::Result<()> {
if let Some(stats) = stats {
// TODO: Add something with higher compression that doesn't require a full scan upfront
let estimator = CodecType::Bitpacked.estimator();
assert!(!estimator.requires_full_scan());
serialize_u64_with_codec_and_stats(multivalued_index, estimator, stats, output)?;
} else {
serialize_u64_based_column_values(
multivalued_index,
&[CodecType::Bitpacked, CodecType::Linear],
output,
)?;
}
let SerializableMultivalueIndex {
doc_ids_with_values,
start_offsets,
} = multivalued_index;
let mut count_writer = CountingWriter::wrap(output);
let SerializableOptionalIndex {
non_null_row_ids,
num_rows,
} = doc_ids_with_values;
serialize_optional_index(&**non_null_row_ids, *num_rows, &mut count_writer)?;
let optional_len = count_writer.written_bytes() as u32;
let output = count_writer.finish();
serialize_u64_based_column_values(
&**start_offsets,
&[CodecType::Bitpacked, CodecType::Linear],
output,
)?;
output.write_all(&optional_len.to_le_bytes())?;
Ok(())
}
pub fn open_multivalued_index(bytes: OwnedBytes) -> io::Result<MultiValueIndex> {
let start_index_column: Arc<dyn ColumnValues<RowId>> = load_u64_based_column_values(bytes)?;
Ok(MultiValueIndex { start_index_column })
let (body_bytes, optional_index_len) = bytes.rsplit(4);
let optional_index_len = u32::from_le_bytes(optional_index_len.as_slice().try_into().unwrap());
let (optional_index_bytes, start_index_bytes) = body_bytes.split(optional_index_len as usize);
let optional_index = open_optional_index(optional_index_bytes)?;
let start_index_column: Arc<dyn ColumnValues<RowId>> =
load_u64_based_column_values(start_index_bytes)?;
Ok(MultiValueIndex {
optional_index,
start_index_column,
})
}
#[derive(Clone)]
/// Index to resolve value range for given doc_id.
/// Starts at 0.
pub struct MultiValueIndex {
pub optional_index: OptionalIndex,
pub start_index_column: Arc<dyn crate::ColumnValues<RowId>>,
}
@@ -52,16 +72,27 @@ impl std::fmt::Debug for MultiValueIndex {
}
}
impl From<Arc<dyn ColumnValues<RowId>>> for MultiValueIndex {
fn from(start_index_column: Arc<dyn ColumnValues<RowId>>) -> Self {
MultiValueIndex { start_index_column }
}
}
impl MultiValueIndex {
pub fn for_test(start_offsets: &[RowId]) -> MultiValueIndex {
assert!(start_offsets.len() > 0);
assert_eq!(start_offsets[0], 0);
let mut doc_with_values = Vec::new();
let mut compact_start_offsets: Vec<u64> = vec![0];
for doc in 0..start_offsets.len() - 1 {
if start_offsets[doc] < start_offsets[doc + 1] {
doc_with_values.push(doc as RowId);
compact_start_offsets.push(start_offsets[doc + 1] as u64);
}
}
let serializable_multivalued_index = SerializableMultivalueIndex {
doc_ids_with_values: SerializableOptionalIndex {
non_null_row_ids: Box::new(&doc_with_values[..]),
num_rows: start_offsets.len() as u32 - 1,
},
start_offsets: Box::new(&compact_start_offsets[..]),
};
let mut buffer = Vec::new();
serialize_multivalued_index(&start_offsets, None, &mut buffer).unwrap();
serialize_multivalued_index(&serializable_multivalued_index, &mut buffer).unwrap();
let bytes = OwnedBytes::new(buffer);
open_multivalued_index(bytes).unwrap()
}
@@ -70,15 +101,19 @@ impl MultiValueIndex {
/// the given document are `start..end`.
#[inline]
pub(crate) fn range(&self, doc_id: DocId) -> Range<RowId> {
let start = self.start_index_column.get_val(doc_id);
let end = self.start_index_column.get_val(doc_id + 1);
let Some(rank) = self.optional_index.rank_if_exists(doc_id) else {
return 0..0;
};
let start = self.start_index_column.get_val(rank);
let end = self.start_index_column.get_val(rank + 1);
start..end
}
/// Returns the number of documents in the index.
#[inline]
pub fn num_docs(&self) -> u32 {
self.start_index_column.num_vals() - 1
self.optional_index.num_docs()
// self.start_index_column.num_vals() - 1
}
/// Converts a list of ranks (row ids of values) in a 1:n index to the corresponding list of
@@ -117,6 +152,10 @@ impl MultiValueIndex {
}
}
ranks.truncate(write_doc_pos);
for rank in ranks.iter_mut() {
*rank = self.optional_index.select(*rank);
}
}
}
@@ -143,6 +182,7 @@ mod tests {
let positions = &[10u32, 11, 15, 20, 21, 22];
assert_eq!(index_to_pos_helper(&index, 0..5, positions), vec![1, 3, 4]);
assert_eq!(index_to_pos_helper(&index, 1..5, positions), vec![1, 3, 4]);
assert_eq!(index_to_pos_helper(&index, 0..5, &[9]), vec![0]);
assert_eq!(index_to_pos_helper(&index, 1..5, &[10]), vec![1]);
assert_eq!(index_to_pos_helper(&index, 1..5, &[11]), vec![1]);

View File

@@ -86,8 +86,14 @@ pub struct OptionalIndex {
block_metas: Arc<[BlockMeta]>,
}
impl<'a> Iterable<u32> for &'a OptionalIndex {
fn boxed_iter(&self) -> Box<dyn Iterator<Item = u32> + '_> {
Box::new(self.iter_rows())
}
}
impl std::fmt::Debug for OptionalIndex {
fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result {
fn fmt(&self, f: &mut std::fmt::Formatter) -> std::fmt::Result {
f.debug_struct("OptionalIndex")
.field("num_rows", &self.num_rows)
.field("num_non_null_rows", &self.num_non_null_rows)
@@ -250,6 +256,10 @@ impl Set<RowId> for OptionalIndex {
}
impl OptionalIndex {
pub fn new_empty(num_rows: RowId) -> OptionalIndex {
Self::for_test(num_rows, &[])
}
pub fn for_test(num_rows: RowId, row_ids: &[RowId]) -> OptionalIndex {
assert!(row_ids
.last()

View File

@@ -3,33 +3,42 @@ use std::io::Write;
use common::{CountingWriter, OwnedBytes};
use super::multivalued_index::SerializableMultivalueIndex;
use super::OptionalIndex;
use crate::column_index::multivalued_index::serialize_multivalued_index;
use crate::column_index::optional_index::serialize_optional_index;
use crate::column_index::ColumnIndex;
use crate::column_values::ColumnStats;
use crate::iterable::Iterable;
use crate::{Cardinality, RowId};
pub struct SerializableOptionalIndex<'a> {
pub non_null_row_ids: Box<dyn Iterable<RowId> + 'a>,
pub num_rows: RowId,
}
impl<'a> From<&'a OptionalIndex> for SerializableOptionalIndex<'a> {
fn from(optional_index: &'a OptionalIndex) -> Self {
SerializableOptionalIndex {
non_null_row_ids: Box::new(optional_index),
num_rows: optional_index.num_docs(),
}
}
}
pub enum SerializableColumnIndex<'a> {
Full,
Optional {
non_null_row_ids: Box<dyn Iterable<RowId> + 'a>,
num_rows: RowId,
},
Multivalued {
/// Iterator emitting the indices for the index
indices: Box<dyn Iterable<RowId> + 'a>,
/// In the merge case we can precompute the column stats
stats: Option<ColumnStats>,
},
Optional(SerializableOptionalIndex<'a>),
// TODO remove the Arc<dyn> apart from serialization this is not
// dynamic at all.
Multivalued(SerializableMultivalueIndex<'a>),
}
impl<'a> SerializableColumnIndex<'a> {
pub fn get_cardinality(&self) -> Cardinality {
match self {
SerializableColumnIndex::Full => Cardinality::Full,
SerializableColumnIndex::Optional { .. } => Cardinality::Optional,
SerializableColumnIndex::Multivalued { .. } => Cardinality::Multivalued,
SerializableColumnIndex::Optional(_) => Cardinality::Optional,
SerializableColumnIndex::Multivalued(_) => Cardinality::Multivalued,
}
}
}
@@ -44,14 +53,13 @@ pub fn serialize_column_index(
output.write_all(&[cardinality])?;
match column_index {
SerializableColumnIndex::Full => {}
SerializableColumnIndex::Optional {
SerializableColumnIndex::Optional(SerializableOptionalIndex {
non_null_row_ids,
num_rows,
} => serialize_optional_index(non_null_row_ids.as_ref(), num_rows, &mut output)?,
SerializableColumnIndex::Multivalued {
indices: multivalued_index,
stats,
} => serialize_multivalued_index(&*multivalued_index, stats, &mut output)?,
}) => serialize_optional_index(non_null_row_ids.as_ref(), num_rows, &mut output)?,
SerializableColumnIndex::Multivalued(multivalued_index) => {
serialize_multivalued_index(&multivalued_index, &mut output)?
}
}
let column_index_num_bytes = output.written_bytes() as u32;
Ok(column_index_num_bytes)

View File

@@ -32,8 +32,7 @@ pub use u128_based::{
};
pub use u64_based::{
load_u64_based_column_values, serialize_and_load_u64_based_column_values,
serialize_u64_based_column_values, serialize_u64_with_codec_and_stats, CodecType,
ALL_U64_CODEC_TYPES,
serialize_u64_based_column_values, CodecType, ALL_U64_CODEC_TYPES,
};
pub use vec_column::VecColumn;

View File

@@ -128,9 +128,6 @@ impl ColumnCodecEstimator for BitpackedCodecEstimator {
bit_packer.close(wrt)?;
Ok(())
}
fn codec_type(&self) -> super::CodecType {
super::CodecType::Bitpacked
}
}
pub struct BitpackedCodec;

View File

@@ -163,10 +163,6 @@ impl ColumnCodecEstimator for BlockwiseLinearEstimator {
Ok(())
}
fn codec_type(&self) -> super::CodecType {
super::CodecType::BlockwiseLinear
}
}
pub struct BlockwiseLinearCodec;

View File

@@ -153,12 +153,6 @@ impl ColumnCodecEstimator for LinearCodecEstimator {
self.collect_before_line_estimation(value);
}
}
fn requires_full_scan(&self) -> bool {
true
}
fn codec_type(&self) -> super::CodecType {
super::CodecType::Linear
}
}
impl LinearCodecEstimator {

View File

@@ -37,11 +37,7 @@ pub trait ColumnCodecEstimator<T = u64>: 'static {
/// This method will be called for each element of the column during
/// `estimation`.
fn collect(&mut self, value: u64);
/// Returns true if the estimator needs a full pass over the column before serialization
fn requires_full_scan(&self) -> bool {
false
}
fn codec_type(&self) -> CodecType;
/// Finalizes the first pass phase.
fn finalize(&mut self) {}
/// Returns an accurate estimation of the number of bytes that will
/// be used to represent this column.
@@ -154,45 +150,34 @@ pub fn serialize_u64_based_column_values<T: MonotonicallyMappableToU64>(
wrt: &mut dyn Write,
) -> io::Result<()> {
let mut stats_collector = StatsCollector::default();
let mut estimators: Vec<Box<dyn ColumnCodecEstimator>> = Vec::with_capacity(codec_types.len());
let mut estimators: Vec<(CodecType, Box<dyn ColumnCodecEstimator>)> =
Vec::with_capacity(codec_types.len());
for &codec_type in codec_types {
estimators.push(codec_type.estimator());
estimators.push((codec_type, codec_type.estimator()));
}
for val in vals.boxed_iter() {
let val_u64 = val.to_u64();
stats_collector.collect(val_u64);
for estimator in &mut estimators {
for (_, estimator) in &mut estimators {
estimator.collect(val_u64);
}
}
for estimator in &mut estimators {
for (_, estimator) in &mut estimators {
estimator.finalize();
}
let stats = stats_collector.stats();
let (_, best_codec) = estimators
let (_, best_codec, best_codec_estimator) = estimators
.into_iter()
.flat_map(|estimator| {
.flat_map(|(codec_type, estimator)| {
let num_bytes = estimator.estimate(&stats)?;
Some((num_bytes, estimator))
Some((num_bytes, codec_type, estimator))
})
.min_by_key(|(num_bytes, _)| *num_bytes)
.min_by_key(|(num_bytes, _, _)| *num_bytes)
.ok_or_else(|| {
io::Error::new(io::ErrorKind::InvalidData, "No available applicable codec.")
})?;
serialize_u64_with_codec_and_stats(vals, best_codec, stats, wrt)?;
Ok(())
}
/// Serializes a given column of u64-mapped values.
/// The codec estimator needs to be collected fully for the Line codec before calling this.
pub fn serialize_u64_with_codec_and_stats<T: MonotonicallyMappableToU64>(
vals: &dyn Iterable<T>,
codec: Box<dyn ColumnCodecEstimator>,
stats: ColumnStats,
wrt: &mut dyn Write,
) -> io::Result<()> {
codec.codec_type().to_code().serialize(wrt)?;
codec.serialize(
best_codec.to_code().serialize(wrt)?;
best_codec_estimator.serialize(
&stats,
&mut vals.boxed_iter().map(MonotonicallyMappableToU64::to_u64),
wrt,

View File

@@ -8,7 +8,7 @@ const MAGIC_BYTES: [u8; 4] = [2, 113, 119, 66];
pub fn footer() -> [u8; VERSION_FOOTER_NUM_BYTES] {
let mut footer_bytes = [0u8; VERSION_FOOTER_NUM_BYTES];
footer_bytes[0..4].copy_from_slice(&Version::V1.to_bytes());
footer_bytes[0..4].copy_from_slice(&Version::V2.to_bytes());
footer_bytes[4..8].copy_from_slice(&MAGIC_BYTES[..]);
footer_bytes
}
@@ -24,6 +24,7 @@ pub fn parse_footer(footer_bytes: [u8; VERSION_FOOTER_NUM_BYTES]) -> Result<Vers
#[repr(u32)]
pub enum Version {
V1 = 1u32,
V2 = 2u32,
}
impl Version {
@@ -34,7 +35,7 @@ impl Version {
fn try_from_bytes(bytes: [u8; 4]) -> Result<Version, InvalidData> {
let code = u32::from_le_bytes(bytes);
match code {
1u32 => Ok(Version::V1),
2u32 => Ok(Version::V2),
_ => Err(InvalidData),
}
}
@@ -49,7 +50,7 @@ mod tests {
#[test]
fn test_footer_dserialization() {
let parsed_version: Version = parse_footer(footer()).unwrap();
assert_eq!(Version::V1, parsed_version);
assert_eq!(Version::V2, parsed_version);
}
#[test]
@@ -63,7 +64,7 @@ mod tests {
for &i in &version_to_tests {
let version_res = Version::try_from_bytes(i.to_le_bytes());
if let Ok(version) = version_res {
assert_eq!(version, Version::V1);
assert_eq!(version, Version::V2);
assert_eq!(version.to_bytes(), i.to_le_bytes());
valid_versions.insert(i);
}

View File

@@ -3,7 +3,7 @@ mod merge_mapping;
mod term_merger;
use std::collections::{BTreeMap, HashSet};
use std::io::{self};
use std::io;
use std::net::Ipv6Addr;
use std::sync::Arc;
@@ -156,15 +156,8 @@ fn merge_column(
column_values.push(None);
}
}
let num_values: u32 = column_values
.iter()
.map(|vals| vals.as_ref().map(|idx| idx.num_vals()).unwrap_or(0))
.sum();
let merged_column_index = crate::column_index::merge_column_index(
&column_indexes[..],
merge_row_order,
num_values,
);
let merged_column_index =
crate::column_index::merge_column_index(&column_indexes[..], merge_row_order);
let merge_column_values = MergedColumnValues {
column_indexes: &column_indexes[..],
column_values: &column_values[..],
@@ -190,15 +183,8 @@ fn merge_column(
}
}
let num_values: u32 = column_values
.iter()
.map(|vals| vals.as_ref().map(|idx| idx.num_vals()).unwrap_or(0))
.sum();
let merged_column_index = crate::column_index::merge_column_index(
&column_indexes[..],
merge_row_order,
num_values,
);
let merged_column_index =
crate::column_index::merge_column_index(&column_indexes[..], merge_row_order);
let merge_column_values = MergedColumnValues {
column_indexes: &column_indexes[..],
column_values: &column_values,
@@ -228,19 +214,8 @@ fn merge_column(
}
}
}
let num_values: u32 = bytes_columns
.iter()
.map(|vals| {
vals.as_ref()
.map(|idx| idx.term_ord_column.values.num_vals())
.unwrap_or(0)
})
.sum();
let merged_column_index = crate::column_index::merge_column_index(
&column_indexes[..],
merge_row_order,
num_values,
);
let merged_column_index =
crate::column_index::merge_column_index(&column_indexes[..], merge_row_order);
merge_bytes_or_str_column(merged_column_index, &bytes_columns, merge_row_order, wrt)?;
}
}

View File

@@ -12,7 +12,7 @@ use common::CountingWriter;
pub(crate) use serializer::ColumnarSerializer;
use stacker::{Addr, ArenaHashMap, MemoryArena};
use crate::column_index::SerializableColumnIndex;
use crate::column_index::{SerializableColumnIndex, SerializableOptionalIndex};
use crate::column_values::{MonotonicallyMappableToU128, MonotonicallyMappableToU64};
use crate::columnar::column_type::ColumnType;
use crate::columnar::writer::column_writers::{
@@ -20,6 +20,7 @@ use crate::columnar::writer::column_writers::{
};
use crate::columnar::writer::value_index::{IndexBuilder, PreallocatedIndexBuilders};
use crate::dictionary::{DictionaryBuilder, TermIdMapping, UnorderedId};
use crate::iterable::Iterable;
use crate::value::{Coerce, NumericalType, NumericalValue};
use crate::{Cardinality, RowId};
@@ -635,19 +636,16 @@ fn send_to_serialize_column_mappable_to_u128<
let optional_index_builder = value_index_builders.borrow_optional_index_builder();
consume_operation_iterator(op_iterator, optional_index_builder, values);
let optional_index = optional_index_builder.finish(num_rows);
SerializableColumnIndex::Optional {
SerializableColumnIndex::Optional(SerializableOptionalIndex {
num_rows,
non_null_row_ids: Box::new(optional_index),
}
})
}
Cardinality::Multivalued => {
let multivalued_index_builder = value_index_builders.borrow_multivalued_index_builder();
consume_operation_iterator(op_iterator, multivalued_index_builder, values);
let multivalued_index = multivalued_index_builder.finish(num_rows);
SerializableColumnIndex::Multivalued {
indices: Box::new(multivalued_index),
stats: Default::default(), // TODO: implement stats for u128
}
let serializable_multivalued_index = multivalued_index_builder.finish(num_rows);
SerializableColumnIndex::Multivalued(serializable_multivalued_index)
}
};
crate::column::serialize_column_mappable_to_u128(
@@ -690,22 +688,21 @@ fn send_to_serialize_column_mappable_to_u64(
let optional_index_builder = value_index_builders.borrow_optional_index_builder();
consume_operation_iterator(op_iterator, optional_index_builder, values);
let optional_index = optional_index_builder.finish(num_rows);
SerializableColumnIndex::Optional {
SerializableColumnIndex::Optional(SerializableOptionalIndex {
non_null_row_ids: Box::new(optional_index),
num_rows,
}
})
}
Cardinality::Multivalued => {
let multivalued_index_builder = value_index_builders.borrow_multivalued_index_builder();
consume_operation_iterator(op_iterator, multivalued_index_builder, values);
let multivalued_index = multivalued_index_builder.finish(num_rows);
if sort_values_within_row {
sort_values_within_row_in_place(multivalued_index, values);
}
SerializableColumnIndex::Multivalued {
indices: Box::new(multivalued_index),
stats: None,
// not supported in this hack
todo!()
// sort_values_within_row_in_place(multivalued_index, values);
}
let serializable_multivalued_index = multivalued_index_builder.finish(num_rows);
SerializableColumnIndex::Multivalued(serializable_multivalued_index)
}
};
crate::column::serialize_column_mappable_to_u64(

View File

@@ -1,3 +1,4 @@
use crate::column_index::{SerializableMultivalueIndex, SerializableOptionalIndex};
use crate::iterable::Iterable;
use crate::RowId;
@@ -59,32 +60,50 @@ impl IndexBuilder for OptionalIndexBuilder {
#[derive(Default)]
pub struct MultivaluedIndexBuilder {
start_offsets: Vec<RowId>,
total_num_vals_seen: u32,
doc_with_values: Vec<RowId>,
start_offsets: Vec<u64>,
total_num_vals_seen: u64,
current_row: RowId,
current_row_has_value: bool,
}
impl MultivaluedIndexBuilder {
pub fn finish(&mut self, num_docs: RowId) -> &[u32] {
self.start_offsets
.resize(num_docs as usize + 1, self.total_num_vals_seen);
&self.start_offsets[..]
pub fn finish(&mut self, num_docs: RowId) -> SerializableMultivalueIndex<'_> {
self.start_offsets.push(self.total_num_vals_seen as u64);
let non_null_row_ids: Box<dyn Iterable<RowId>> = Box::new(&self.doc_with_values[..]);
SerializableMultivalueIndex {
doc_ids_with_values: SerializableOptionalIndex {
non_null_row_ids,
num_rows: num_docs,
},
start_offsets: Box::new(&self.start_offsets[..]),
}
}
fn reset(&mut self) {
self.doc_with_values.clear();
self.start_offsets.clear();
self.start_offsets.push(0u32);
self.total_num_vals_seen = 0;
self.current_row = 0;
self.current_row_has_value = false;
}
}
impl IndexBuilder for MultivaluedIndexBuilder {
fn record_row(&mut self, row_id: RowId) {
self.start_offsets
.resize(row_id as usize + 1, self.total_num_vals_seen);
self.current_row = row_id;
self.current_row_has_value = false;
// self.start_offsets
// .resize(row_id as usize + 1, self.total_num_vals_seen);
}
fn record_value(&mut self) {
self.total_num_vals_seen += 1;
if !self.current_row_has_value {
self.current_row_has_value = true;
self.doc_with_values.push(self.current_row);
self.start_offsets.push(self.total_num_vals_seen as u64);
}
self.total_num_vals_seen += 1u64;
}
}
@@ -141,6 +160,32 @@ mod tests {
);
}
#[test]
fn test_multivalued_value_index_builder_simple() {
let mut multivalued_value_index_builder = MultivaluedIndexBuilder::default();
{
multivalued_value_index_builder.record_row(0u32);
multivalued_value_index_builder.record_value();
multivalued_value_index_builder.record_value();
let serialized_multivalue_index = multivalued_value_index_builder.finish(1u32);
let start_offsets: Vec<u64> = serialized_multivalue_index
.start_offsets
.boxed_iter()
.collect();
assert_eq!(&start_offsets, &[0, 2]);
}
multivalued_value_index_builder.reset();
multivalued_value_index_builder.record_row(0u32);
multivalued_value_index_builder.record_value();
multivalued_value_index_builder.record_value();
let serialized_multivalue_index = multivalued_value_index_builder.finish(1u32);
let start_offsets: Vec<u64> = serialized_multivalue_index
.start_offsets
.boxed_iter()
.collect();
assert_eq!(&start_offsets, &[0, 2]);
}
#[test]
fn test_multivalued_value_index_builder() {
let mut multivalued_value_index_builder = MultivaluedIndexBuilder::default();
@@ -149,17 +194,30 @@ mod tests {
multivalued_value_index_builder.record_value();
multivalued_value_index_builder.record_row(2u32);
multivalued_value_index_builder.record_value();
assert_eq!(
multivalued_value_index_builder.finish(4u32).to_vec(),
vec![0, 0, 2, 3, 3]
);
multivalued_value_index_builder.reset();
multivalued_value_index_builder.record_row(2u32);
multivalued_value_index_builder.record_value();
multivalued_value_index_builder.record_value();
assert_eq!(
multivalued_value_index_builder.finish(4u32).to_vec(),
vec![0, 0, 0, 2, 2]
);
let SerializableMultivalueIndex {
doc_ids_with_values,
start_offsets,
} = multivalued_value_index_builder.finish(4u32);
assert_eq!(doc_ids_with_values.num_rows, 4u32);
let doc_ids_with_values: Vec<u32> =
doc_ids_with_values.non_null_row_ids.boxed_iter().collect();
assert_eq!(&doc_ids_with_values, &[1u32, 2u32]);
let start_offsets: Vec<u64> = start_offsets.boxed_iter().collect::<Vec<u64>>();
assert_eq!(&start_offsets[..], &[0, 2, 3]);
// assert!(doc_ids_with_values_opt.is_some());
// assert!(doc_ids_with_values_opt.is_some());
// assert_eq!(
// multivalued_value_index_builder.finish(4u32).to_vec(),
// vec![0, 0, 2, 3, 3]
// );
// multivalued_value_index_builder.reset();
// multivalued_value_index_builder.record_row(2u32);
// multivalued_value_index_builder.record_value();
// multivalued_value_index_builder.record_value();
// assert_eq!(
// multivalued_value_index_builder.finish(4u32).to_vec(),
// vec![0, 0, 0, 2, 2]
// );
}
}

View File

@@ -1,4 +1,7 @@
use std::ops::Range;
use std::sync::Arc;
use crate::{ColumnValues, RowId};
pub trait Iterable<T = u64> {
fn boxed_iter(&self) -> Box<dyn Iterator<Item = T> + '_>;
@@ -17,3 +20,9 @@ where Range<T>: Iterator<Item = T>
Box::new(self.clone())
}
}
impl Iterable for Arc<dyn crate::ColumnValues<RowId>> {
fn boxed_iter(&self) -> Box<dyn Iterator<Item = u64> + '_> {
Box::new(self.iter().map(|row_id| row_id as u64))
}
}

View File

@@ -11,7 +11,7 @@ use crate::columnar::{ColumnType, ColumnTypeCategory};
use crate::dynamic_column::{DynamicColumn, DynamicColumnHandle};
use crate::value::{Coerce, NumericalValue};
use crate::{
BytesColumn, Cardinality, Column, ColumnarReader, ColumnarWriter, RowAddr, RowId,
BytesColumn, Cardinality, Column, ColumnIndex, ColumnarReader, ColumnarWriter, RowAddr, RowId,
ShuffleMergeOrder, StackMergeOrder,
};
@@ -79,7 +79,7 @@ fn test_dataframe_writer_u64_multivalued() {
assert_eq!(columnar.num_columns(), 1);
let cols: Vec<DynamicColumnHandle> = columnar.read_columns("divisor").unwrap();
assert_eq!(cols.len(), 1);
assert_eq!(cols[0].num_bytes(), 29);
assert_eq!(cols[0].num_bytes(), 50);
let dyn_i64_col = cols[0].open().unwrap();
let DynamicColumn::I64(divisor_col) = dyn_i64_col else {
panic!();
@@ -448,6 +448,7 @@ fn assert_columnar_eq(
}
}
#[track_caller]
fn assert_column_eq<T: Copy + PartialOrd + Debug + Send + Sync + 'static>(
left: &Column<T>,
right: &Column<T>,
@@ -738,22 +739,35 @@ proptest! {
#![proptest_config(ProptestConfig::with_cases(1000))]
#[test]
fn test_columnar_merge_proptest(columnar_docs in proptest::collection::vec(columnar_docs_strategy(), 2..=3)) {
test_columnar_docs(columnar_docs);
let columnar_readers: Vec<ColumnarReader> = columnar_docs.iter()
.map(|docs| build_columnar(&docs[..]))
.collect::<Vec<_>>();
let columnar_readers_arr: Vec<&ColumnarReader> = columnar_readers.iter().collect();
let mut output: Vec<u8> = Vec::new();
let stack_merge_order = StackMergeOrder::stack(&columnar_readers_arr[..]).into();
crate::merge_columnar(&columnar_readers_arr[..], &[], stack_merge_order, &mut output).unwrap();
let merged_columnar = ColumnarReader::open(output).unwrap();
let concat_rows: Vec<Vec<(&'static str, ColumnValue)>> = columnar_docs.iter().flatten().cloned().collect();
let expected_merged_columnar = build_columnar(&concat_rows[..]);
assert_columnar_eq_strict(&merged_columnar, &expected_merged_columnar);
}
}
fn test_columnar_docs(columnar_docs: Vec<Vec<Vec<(&'static str, ColumnValue)>>>) {
#[test]
fn test_columnar_merging_empty_columnar() {
let columnar_docs: Vec<Vec<Vec<(&str, ColumnValue)>>> =
vec![vec![], vec![vec![("c1", ColumnValue::Str("a"))]]];
let columnar_readers: Vec<ColumnarReader> = columnar_docs
.iter()
.map(|docs| build_columnar(&docs[..]))
.collect::<Vec<_>>();
let columnar_readers_arr: Vec<&ColumnarReader> = columnar_readers.iter().collect();
let mut output: Vec<u8> = Vec::new();
let stack_merge_order = StackMergeOrder::stack(&columnar_readers_arr[..]).into();
let stack_merge_order = StackMergeOrder::stack(&columnar_readers_arr[..]);
crate::merge_columnar(
&columnar_readers_arr[..],
&[],
stack_merge_order,
crate::MergeRowOrder::Stack(stack_merge_order),
&mut output,
)
.unwrap();
@@ -764,24 +778,6 @@ fn test_columnar_docs(columnar_docs: Vec<Vec<Vec<(&'static str, ColumnValue)>>>)
assert_columnar_eq_strict(&merged_columnar, &expected_merged_columnar);
}
#[test]
fn test_columnar_merging_empty_columnar() {
let columnar_docs: Vec<Vec<Vec<(&str, ColumnValue)>>> =
vec![vec![], vec![vec![("c1", ColumnValue::Str("a"))]]];
test_columnar_docs(columnar_docs);
}
#[test]
fn test_columnar_merging_simple() {
let columnar_docs: Vec<Vec<Vec<(&str, ColumnValue)>>> = vec![
vec![],
vec![vec![
("c1", ColumnValue::Numerical(0u64.into())),
("c1", ColumnValue::Numerical(0u64.into())),
]],
];
test_columnar_docs(columnar_docs);
}
#[test]
fn test_columnar_merging_number_columns() {
let columnar_docs: Vec<Vec<Vec<(&str, ColumnValue)>>> = vec![
@@ -798,7 +794,25 @@ fn test_columnar_merging_number_columns() {
vec![("c2", ColumnValue::Numerical(u64::MAX.into()))],
],
];
test_columnar_docs(columnar_docs);
let columnar_readers: Vec<ColumnarReader> = columnar_docs
.iter()
.map(|docs| build_columnar(&docs[..]))
.collect::<Vec<_>>();
let columnar_readers_arr: Vec<&ColumnarReader> = columnar_readers.iter().collect();
let mut output: Vec<u8> = Vec::new();
let stack_merge_order = StackMergeOrder::stack(&columnar_readers_arr[..]);
crate::merge_columnar(
&columnar_readers_arr[..],
&[],
crate::MergeRowOrder::Stack(stack_merge_order),
&mut output,
)
.unwrap();
let merged_columnar = ColumnarReader::open(output).unwrap();
let concat_rows: Vec<Vec<(&'static str, ColumnValue)>> =
columnar_docs.iter().flatten().cloned().collect();
let expected_merged_columnar = build_columnar(&concat_rows[..]);
assert_columnar_eq_strict(&merged_columnar, &expected_merged_columnar);
}
// TODO add non trivial remap and merge
@@ -828,26 +842,27 @@ fn columnar_docs_and_remap(
)
}
proptest! {
#![proptest_config(ProptestConfig::with_cases(1000))]
#[test]
fn test_columnar_merge_and_remap_proptest((columnar_docs, shuffle_merge_order) in columnar_docs_and_remap()) {
let shuffled_rows: Vec<Vec<(&'static str, ColumnValue)>> = shuffle_merge_order.iter()
.map(|row_addr| columnar_docs[row_addr.segment_ord as usize][row_addr.row_id as usize].clone())
.collect();
let expected_merged_columnar = build_columnar(&shuffled_rows[..]);
let columnar_readers: Vec<ColumnarReader> = columnar_docs.iter()
.map(|docs| build_columnar(&docs[..]))
.collect::<Vec<_>>();
let columnar_readers_arr: Vec<&ColumnarReader> = columnar_readers.iter().collect();
let mut output: Vec<u8> = Vec::new();
let segment_num_rows: Vec<RowId> = columnar_docs.iter().map(|docs| docs.len() as RowId).collect();
let shuffle_merge_order = ShuffleMergeOrder::for_test(&segment_num_rows, shuffle_merge_order);
crate::merge_columnar(&columnar_readers_arr[..], &[], shuffle_merge_order.into(), &mut output).unwrap();
let merged_columnar = ColumnarReader::open(output).unwrap();
assert_columnar_eq(&merged_columnar, &expected_merged_columnar, true);
}
}
// proptest! {
// #![proptest_config(ProptestConfig::with_cases(1000))]
// #[test]
// fn test_columnar_merge_and_remap_proptest((columnar_docs, shuffle_merge_order) in
// columnar_docs_and_remap()) { let shuffled_rows: Vec<Vec<(&'static str, ColumnValue)>> =
// shuffle_merge_order.iter() .map(|row_addr| columnar_docs[row_addr.segment_ord as
// usize][row_addr.row_id as usize].clone()) .collect();
// let expected_merged_columnar = build_columnar(&shuffled_rows[..]);
// let columnar_readers: Vec<ColumnarReader> = columnar_docs.iter()
// .map(|docs| build_columnar(&docs[..]))
// .collect::<Vec<_>>();
// let columnar_readers_arr: Vec<&ColumnarReader> = columnar_readers.iter().collect();
// let mut output: Vec<u8> = Vec::new();
// let segment_num_rows: Vec<RowId> = columnar_docs.iter().map(|docs| docs.len() as
// RowId).collect(); let shuffle_merge_order =
// ShuffleMergeOrder::for_test(&segment_num_rows, shuffle_merge_order);
// crate::merge_columnar(&columnar_readers_arr[..], &[], shuffle_merge_order.into(), &mut
// output).unwrap(); let merged_columnar = ColumnarReader::open(output).unwrap();
// assert_columnar_eq(&merged_columnar, &expected_merged_columnar, true);
// }
// }
#[test]
fn test_columnar_merge_empty() {
@@ -869,64 +884,64 @@ fn test_columnar_merge_empty() {
assert_eq!(merged_columnar.num_columns(), 0);
}
#[test]
fn test_columnar_merge_single_str_column() {
let columnar_reader_1 = build_columnar(&[]);
let rows: &[Vec<_>] = &[vec![("c1", ColumnValue::Str("a"))]][..];
let columnar_reader_2 = build_columnar(rows);
let mut output: Vec<u8> = Vec::new();
let segment_num_rows: Vec<RowId> = vec![0, 1];
let shuffle_merge_order = ShuffleMergeOrder::for_test(
&segment_num_rows,
vec![RowAddr {
segment_ord: 1u32,
row_id: 0u32,
}],
);
crate::merge_columnar(
&[&columnar_reader_1, &columnar_reader_2],
&[],
shuffle_merge_order.into(),
&mut output,
)
.unwrap();
let merged_columnar = ColumnarReader::open(output).unwrap();
assert_eq!(merged_columnar.num_rows(), 1);
assert_eq!(merged_columnar.num_columns(), 1);
}
// #[test]
// fn test_columnar_merge_single_str_column() {
// let columnar_reader_1 = build_columnar(&[]);
// let rows: &[Vec<_>] = &[vec![("c1", ColumnValue::Str("a"))]][..];
// let columnar_reader_2 = build_columnar(rows);
// let mut output: Vec<u8> = Vec::new();
// let segment_num_rows: Vec<RowId> = vec![0, 1];
// let shuffle_merge_order = ShuffleMergeOrder::for_test(
// &segment_num_rows,
// vec![RowAddr {
// segment_ord: 1u32,
// row_id: 0u32,
// }],
// );
// crate::merge_columnar(
// &[&columnar_reader_1, &columnar_reader_2],
// &[],
// shuffle_merge_order.into(),
// &mut output,
// )
// .unwrap();
// let merged_columnar = ColumnarReader::open(output).unwrap();
// assert_eq!(merged_columnar.num_rows(), 1);
// assert_eq!(merged_columnar.num_columns(), 1);
// }
#[test]
fn test_delete_decrease_cardinality() {
let columnar_reader_1 = build_columnar(&[]);
let rows: &[Vec<_>] = &[
vec![
("c", ColumnValue::from(0i64)),
("c", ColumnValue::from(0i64)),
],
vec![("c", ColumnValue::from(0i64))],
][..];
// c is multivalued here
let columnar_reader_2 = build_columnar(rows);
let mut output: Vec<u8> = Vec::new();
let shuffle_merge_order = ShuffleMergeOrder::for_test(
&[0, 2],
vec![RowAddr {
segment_ord: 1u32,
row_id: 1u32,
}],
);
crate::merge_columnar(
&[&columnar_reader_1, &columnar_reader_2],
&[],
shuffle_merge_order.into(),
&mut output,
)
.unwrap();
let merged_columnar = ColumnarReader::open(output).unwrap();
assert_eq!(merged_columnar.num_rows(), 1);
assert_eq!(merged_columnar.num_columns(), 1);
let cols = merged_columnar.read_columns("c").unwrap();
assert_eq!(cols.len(), 1);
assert_eq!(cols[0].column_type(), ColumnType::I64);
assert_eq!(cols[0].open().unwrap().get_cardinality(), Cardinality::Full);
}
// #[test]
// fn test_delete_decrease_cardinality() {
// let columnar_reader_1 = build_columnar(&[]);
// let rows: &[Vec<_>] = &[
// vec![
// ("c", ColumnValue::from(0i64)),
// ("c", ColumnValue::from(0i64)),
// ],
// vec![("c", ColumnValue::from(0i64))],
// ][..];
// // c is multivalued here
// let columnar_reader_2 = build_columnar(rows);
// let mut output: Vec<u8> = Vec::new();
// let shuffle_merge_order = ShuffleMergeOrder::for_test(
// &[0, 2],
// vec![RowAddr {
// segment_ord: 1u32,
// row_id: 1u32,
// }],
// );
// crate::merge_columnar(
// &[&columnar_reader_1, &columnar_reader_2],
// &[],
// shuffle_merge_order.into(),
// &mut output,
// )
// .unwrap();
// let merged_columnar = ColumnarReader::open(output).unwrap();
// assert_eq!(merged_columnar.num_rows(), 1);
// assert_eq!(merged_columnar.num_columns(), 1);
// let cols = merged_columnar.read_columns("c").unwrap();
// assert_eq!(cols.len(), 1);
// assert_eq!(cols[0].column_type(), ColumnType::I64);
// assert_eq!(cols[0].open().unwrap().get_cardinality(), Cardinality::Full);
// }

View File

@@ -22,6 +22,3 @@ serde = { version = "1.0.136", features = ["derive"] }
[dev-dependencies]
proptest = "1.0.0"
rand = "0.8.4"
[features]
unstable = [] # useful for benches.

View File

@@ -643,30 +643,30 @@ mod tests {
facet_collector.add_facet(Facet::from("/country/europe"));
}
#[test]
fn test_doc_unsorted_multifacet() -> crate::Result<()> {
let mut schema_builder = Schema::builder();
let facet_field = schema_builder.add_facet_field("facets", FacetOptions::default());
let schema = schema_builder.build();
let index = Index::create_in_ram(schema);
let mut index_writer = index.writer_for_tests()?;
index_writer.add_document(doc!(
facet_field => Facet::from_text(&"/subjects/A/a").unwrap(),
facet_field => Facet::from_text(&"/subjects/B/a").unwrap(),
facet_field => Facet::from_text(&"/subjects/A/b").unwrap(),
facet_field => Facet::from_text(&"/subjects/B/b").unwrap(),
))?;
index_writer.commit()?;
let reader = index.reader()?;
let searcher = reader.searcher();
assert_eq!(searcher.num_docs(), 1);
let mut facet_collector = FacetCollector::for_field("facets");
facet_collector.add_facet("/subjects");
let counts = searcher.search(&AllQuery, &facet_collector)?;
let facets: Vec<(&Facet, u64)> = counts.get("/subjects").collect();
assert_eq!(facets[0].1, 1);
Ok(())
}
// #[test]
// fn test_doc_unsorted_multifacet() -> crate::Result<()> {
// let mut schema_builder = Schema::builder();
// let facet_field = schema_builder.add_facet_field("facets", FacetOptions::default());
// let schema = schema_builder.build();
// let index = Index::create_in_ram(schema);
// let mut index_writer = index.writer_for_tests()?;
// index_writer.add_document(doc!(
// facet_field => Facet::from_text(&"/subjects/A/a").unwrap(),
// facet_field => Facet::from_text(&"/subjects/B/a").unwrap(),
// facet_field => Facet::from_text(&"/subjects/A/b").unwrap(),
// facet_field => Facet::from_text(&"/subjects/B/b").unwrap(),
// ))?;
// index_writer.commit()?;
// let reader = index.reader()?;
// let searcher = reader.searcher();
// assert_eq!(searcher.num_docs(), 1);
// let mut facet_collector = FacetCollector::for_field("facets");
// facet_collector.add_facet("/subjects");
// let counts = searcher.search(&AllQuery, &facet_collector)?;
// let facets: Vec<(&Facet, u64)> = counts.get("/subjects").collect();
// assert_eq!(facets[0].1, 1);
// Ok(())
// }
#[test]
fn test_doc_search_by_facet() -> crate::Result<()> {
@@ -725,99 +725,99 @@ mod tests {
facet_collector.add_facet(Facet::from("/countryeurope"));
}
#[test]
fn test_facet_collector_topk() {
let mut schema_builder = Schema::builder();
let facet_field = schema_builder.add_facet_field("facet", FacetOptions::default());
let schema = schema_builder.build();
let index = Index::create_in_ram(schema);
// #[test]
// fn test_facet_collector_topk() {
// let mut schema_builder = Schema::builder();
// let facet_field = schema_builder.add_facet_field("facet", FacetOptions::default());
// let schema = schema_builder.build();
// let index = Index::create_in_ram(schema);
let uniform = Uniform::new_inclusive(1, 100_000);
let mut docs: Vec<TantivyDocument> =
vec![("a", 10), ("b", 100), ("c", 7), ("d", 12), ("e", 21)]
.into_iter()
.flat_map(|(c, count)| {
let facet = Facet::from(&format!("/facet/{c}"));
let doc = doc!(facet_field => facet);
iter::repeat(doc).take(count)
})
.map(|mut doc| {
doc.add_facet(
facet_field,
&format!("/facet/{}", thread_rng().sample(uniform)),
);
doc
})
.collect();
docs[..].shuffle(&mut thread_rng());
// let uniform = Uniform::new_inclusive(1, 100_000);
// let mut docs: Vec<TantivyDocument> =
// vec![("a", 10), ("b", 100), ("c", 7), ("d", 12), ("e", 21)]
// .into_iter()
// .flat_map(|(c, count)| {
// let facet = Facet::from(&format!("/facet/{c}"));
// let doc = doc!(facet_field => facet);
// iter::repeat(doc).take(count)
// })
// .map(|mut doc| {
// doc.add_facet(
// facet_field,
// &format!("/facet/{}", thread_rng().sample(uniform)),
// );
// doc
// })
// .collect();
// docs[..].shuffle(&mut thread_rng());
let mut index_writer: IndexWriter = index.writer_for_tests().unwrap();
for doc in docs {
index_writer.add_document(doc).unwrap();
}
index_writer.commit().unwrap();
let searcher = index.reader().unwrap().searcher();
// let mut index_writer: IndexWriter = index.writer_for_tests().unwrap();
// for doc in docs {
// index_writer.add_document(doc).unwrap();
// }
// index_writer.commit().unwrap();
// let searcher = index.reader().unwrap().searcher();
let mut facet_collector = FacetCollector::for_field("facet");
facet_collector.add_facet("/facet");
let counts: FacetCounts = searcher.search(&AllQuery, &facet_collector).unwrap();
// let mut facet_collector = FacetCollector::for_field("facet");
// facet_collector.add_facet("/facet");
// let counts: FacetCounts = searcher.search(&AllQuery, &facet_collector).unwrap();
{
let facets: Vec<(&Facet, u64)> = counts.top_k("/facet", 3);
assert_eq!(
facets,
vec![
(&Facet::from("/facet/b"), 100),
(&Facet::from("/facet/e"), 21),
(&Facet::from("/facet/d"), 12),
]
);
}
}
// {
// let facets: Vec<(&Facet, u64)> = counts.top_k("/facet", 3);
// assert_eq!(
// facets,
// vec![
// (&Facet::from("/facet/b"), 100),
// (&Facet::from("/facet/e"), 21),
// (&Facet::from("/facet/d"), 12),
// ]
// );
// }
// }
#[test]
fn test_facet_collector_topk_tie_break() -> crate::Result<()> {
let mut schema_builder = Schema::builder();
let facet_field = schema_builder.add_facet_field("facet", FacetOptions::default());
let schema = schema_builder.build();
let index = Index::create_in_ram(schema);
// #[test]
// fn test_facet_collector_topk_tie_break() -> crate::Result<()> {
// let mut schema_builder = Schema::builder();
// let facet_field = schema_builder.add_facet_field("facet", FacetOptions::default());
// let schema = schema_builder.build();
// let index = Index::create_in_ram(schema);
let docs: Vec<TantivyDocument> = vec![("b", 2), ("a", 2), ("c", 4)]
.into_iter()
.flat_map(|(c, count)| {
let facet = Facet::from(&format!("/facet/{c}"));
let doc = doc!(facet_field => facet);
iter::repeat(doc).take(count)
})
.collect();
// let docs: Vec<TantivyDocument> = vec![("b", 2), ("a", 2), ("c", 4)]
// .into_iter()
// .flat_map(|(c, count)| {
// let facet = Facet::from(&format!("/facet/{c}"));
// let doc = doc!(facet_field => facet);
// iter::repeat(doc).take(count)
// })
// .collect();
let mut index_writer = index.writer_for_tests()?;
for doc in docs {
index_writer.add_document(doc)?;
}
index_writer.commit()?;
// let mut index_writer = index.writer_for_tests()?;
// for doc in docs {
// index_writer.add_document(doc)?;
// }
// index_writer.commit()?;
let searcher = index.reader()?.searcher();
let mut facet_collector = FacetCollector::for_field("facet");
facet_collector.add_facet("/facet");
let counts: FacetCounts = searcher.search(&AllQuery, &facet_collector)?;
// let searcher = index.reader()?.searcher();
// let mut facet_collector = FacetCollector::for_field("facet");
// facet_collector.add_facet("/facet");
// let counts: FacetCounts = searcher.search(&AllQuery, &facet_collector)?;
let facets: Vec<(&Facet, u64)> = counts.top_k("/facet", 2);
assert_eq!(
facets,
vec![(&Facet::from("/facet/c"), 4), (&Facet::from("/facet/a"), 2)]
);
Ok(())
}
// let facets: Vec<(&Facet, u64)> = counts.top_k("/facet", 2);
// assert_eq!(
// facets,
// vec![(&Facet::from("/facet/c"), 4), (&Facet::from("/facet/a"), 2)]
// );
// Ok(())
// }
#[test]
fn is_child_facet() {
assert!(super::is_child_facet(&b"foo"[..], &b"foo\0bar"[..]));
assert!(super::is_child_facet(&b""[..], &b"foo\0bar"[..]));
assert!(super::is_child_facet(&b""[..], &b"foo"[..]));
assert!(!super::is_child_facet(&b"foo\0bar"[..], &b"foo"[..]));
assert!(!super::is_child_facet(&b"foo"[..], &b"foobar\0baz"[..]));
}
// #[test]
// fn is_child_facet() {
// assert!(super::is_child_facet(&b"foo"[..], &b"foo\0bar"[..]));
// assert!(super::is_child_facet(&b""[..], &b"foo\0bar"[..]));
// assert!(super::is_child_facet(&b""[..], &b"foo"[..]));
// assert!(!super::is_child_facet(&b"foo\0bar"[..], &b"foo"[..]));
// assert!(!super::is_child_facet(&b"foo"[..], &b"foobar\0baz"[..]));
// }
}
#[cfg(all(test, feature = "unstable"))]

View File

@@ -94,102 +94,102 @@ mod tests {
assert_eq!(value, None);
}
#[test]
fn test_facet_several_facets_sorted() {
let mut schema_builder = SchemaBuilder::default();
let facet_field = schema_builder.add_facet_field("facet", FacetOptions::default());
let schema = schema_builder.build();
let index = Index::create_in_ram(schema);
let mut index_writer: IndexWriter = index.writer_for_tests().unwrap();
index_writer
.add_document(doc!(facet_field=>Facet::from_text("/parent/child1").unwrap()))
.unwrap();
index_writer
.add_document(doc!(
facet_field=>Facet::from_text("/parent/child2").unwrap(),
facet_field=>Facet::from_text("/parent/child1/blop").unwrap(),
))
.unwrap();
index_writer.commit().unwrap();
let searcher = index.reader().unwrap().searcher();
let facet_reader = searcher.segment_reader(0u32).facet_reader("facet").unwrap();
let mut facet_ords = Vec::new();
// #[test]
// fn test_facet_several_facets_sorted() {
// let mut schema_builder = SchemaBuilder::default();
// let facet_field = schema_builder.add_facet_field("facet", FacetOptions::default());
// let schema = schema_builder.build();
// let index = Index::create_in_ram(schema);
// let mut index_writer: IndexWriter = index.writer_for_tests().unwrap();
// index_writer
// .add_document(doc!(facet_field=>Facet::from_text("/parent/child1").unwrap()))
// .unwrap();
// index_writer
// .add_document(doc!(
// facet_field=>Facet::from_text("/parent/child2").unwrap(),
// facet_field=>Facet::from_text("/parent/child1/blop").unwrap(),
// ))
// .unwrap();
// index_writer.commit().unwrap();
// let searcher = index.reader().unwrap().searcher();
// let facet_reader = searcher.segment_reader(0u32).facet_reader("facet").unwrap();
// let mut facet_ords = Vec::new();
facet_ords.extend(facet_reader.facet_ords(0u32));
assert_eq!(&facet_ords, &[0u64]);
// facet_ords.extend(facet_reader.facet_ords(0u32));
// assert_eq!(&facet_ords, &[0u64]);
facet_ords.clear();
facet_ords.extend(facet_reader.facet_ords(1u32));
assert_eq!(&facet_ords, &[1u64, 2u64]);
// facet_ords.clear();
// facet_ords.extend(facet_reader.facet_ords(1u32));
// assert_eq!(&facet_ords, &[1u64, 2u64]);
assert_eq!(facet_reader.num_facets(), 3);
let mut facet = Facet::default();
facet_reader.facet_from_ord(0, &mut facet).unwrap();
assert_eq!(facet.to_path_string(), "/parent/child1");
facet_reader.facet_from_ord(1, &mut facet).unwrap();
assert_eq!(facet.to_path_string(), "/parent/child1/blop");
facet_reader.facet_from_ord(2, &mut facet).unwrap();
assert_eq!(facet.to_path_string(), "/parent/child2");
}
// assert_eq!(facet_reader.num_facets(), 3);
// let mut facet = Facet::default();
// facet_reader.facet_from_ord(0, &mut facet).unwrap();
// assert_eq!(facet.to_path_string(), "/parent/child1");
// facet_reader.facet_from_ord(1, &mut facet).unwrap();
// assert_eq!(facet.to_path_string(), "/parent/child1/blop");
// facet_reader.facet_from_ord(2, &mut facet).unwrap();
// assert_eq!(facet.to_path_string(), "/parent/child2");
// }
#[test]
fn test_facet_stored_and_indexed() -> crate::Result<()> {
let mut schema_builder = SchemaBuilder::default();
let facet_field = schema_builder.add_facet_field("facet", STORED);
let schema = schema_builder.build();
let index = Index::create_in_ram(schema);
let mut index_writer = index.writer_for_tests()?;
index_writer.add_document(doc!(facet_field=>Facet::from_text("/a/b").unwrap()))?;
index_writer.commit()?;
let searcher = index.reader()?.searcher();
let facet_reader = searcher.segment_reader(0u32).facet_reader("facet").unwrap();
let mut facet_ords = Vec::new();
facet_ords.extend(facet_reader.facet_ords(0u32));
assert_eq!(&facet_ords, &[0u64]);
let doc = searcher.doc::<TantivyDocument>(DocAddress::new(0u32, 0u32))?;
let value: Option<Facet> = doc
.get_first(facet_field)
.and_then(|v| v.as_facet())
.map(|facet| Facet::from_encoded_string(facet.to_string()));
assert_eq!(value, Facet::from_text("/a/b").ok());
Ok(())
}
// #[test]
// fn test_facet_stored_and_indexed() -> crate::Result<()> {
// let mut schema_builder = SchemaBuilder::default();
// let facet_field = schema_builder.add_facet_field("facet", STORED);
// let schema = schema_builder.build();
// let index = Index::create_in_ram(schema);
// let mut index_writer = index.writer_for_tests()?;
// index_writer.add_document(doc!(facet_field=>Facet::from_text("/a/b").unwrap()))?;
// index_writer.commit()?;
// let searcher = index.reader()?.searcher();
// let facet_reader = searcher.segment_reader(0u32).facet_reader("facet").unwrap();
// let mut facet_ords = Vec::new();
// facet_ords.extend(facet_reader.facet_ords(0u32));
// assert_eq!(&facet_ords, &[0u64]);
// let doc = searcher.doc::<TantivyDocument>(DocAddress::new(0u32, 0u32))?;
// let value: Option<Facet> = doc
// .get_first(facet_field)
// .and_then(|v| v.as_facet())
// .map(|facet| Facet::from_encoded_string(facet.to_string()));
// assert_eq!(value, Facet::from_text("/a/b").ok());
// Ok(())
// }
#[test]
fn test_facet_not_populated_for_all_docs() -> crate::Result<()> {
let mut schema_builder = SchemaBuilder::default();
let facet_field = schema_builder.add_facet_field("facet", FacetOptions::default());
let schema = schema_builder.build();
let index = Index::create_in_ram(schema);
let mut index_writer = index.writer_for_tests()?;
index_writer.add_document(doc!(facet_field=>Facet::from_text("/a/b").unwrap()))?;
index_writer.add_document(TantivyDocument::default())?;
index_writer.commit()?;
let searcher = index.reader()?.searcher();
let facet_reader = searcher.segment_reader(0u32).facet_reader("facet").unwrap();
let mut facet_ords = Vec::new();
facet_ords.extend(facet_reader.facet_ords(0u32));
assert_eq!(&facet_ords, &[0u64]);
facet_ords.clear();
facet_ords.extend(facet_reader.facet_ords(1u32));
assert!(facet_ords.is_empty());
Ok(())
}
// #[test]
// fn test_facet_not_populated_for_all_docs() -> crate::Result<()> {
// let mut schema_builder = SchemaBuilder::default();
// let facet_field = schema_builder.add_facet_field("facet", FacetOptions::default());
// let schema = schema_builder.build();
// let index = Index::create_in_ram(schema);
// let mut index_writer = index.writer_for_tests()?;
// index_writer.add_document(doc!(facet_field=>Facet::from_text("/a/b").unwrap()))?;
// index_writer.add_document(TantivyDocument::default())?;
// index_writer.commit()?;
// let searcher = index.reader()?.searcher();
// let facet_reader = searcher.segment_reader(0u32).facet_reader("facet").unwrap();
// let mut facet_ords = Vec::new();
// facet_ords.extend(facet_reader.facet_ords(0u32));
// assert_eq!(&facet_ords, &[0u64]);
// facet_ords.clear();
// facet_ords.extend(facet_reader.facet_ords(1u32));
// assert!(facet_ords.is_empty());
// Ok(())
// }
#[test]
fn test_facet_not_populated_for_any_docs() -> crate::Result<()> {
let mut schema_builder = SchemaBuilder::default();
schema_builder.add_facet_field("facet", FacetOptions::default());
let schema = schema_builder.build();
let index = Index::create_in_ram(schema);
let mut index_writer = index.writer_for_tests()?;
index_writer.add_document(TantivyDocument::default())?;
index_writer.add_document(TantivyDocument::default())?;
index_writer.commit()?;
let searcher = index.reader()?.searcher();
let facet_reader = searcher.segment_reader(0u32).facet_reader("facet").unwrap();
assert!(facet_reader.facet_ords(0u32).next().is_none());
assert!(facet_reader.facet_ords(1u32).next().is_none());
Ok(())
}
// #[test]
// fn test_facet_not_populated_for_any_docs() -> crate::Result<()> {
// let mut schema_builder = SchemaBuilder::default();
// schema_builder.add_facet_field("facet", FacetOptions::default());
// let schema = schema_builder.build();
// let index = Index::create_in_ram(schema);
// let mut index_writer = index.writer_for_tests()?;
// index_writer.add_document(TantivyDocument::default())?;
// index_writer.add_document(TantivyDocument::default())?;
// index_writer.commit()?;
// let searcher = index.reader()?.searcher();
// let facet_reader = searcher.segment_reader(0u32).facet_reader("facet").unwrap();
// assert!(facet_reader.facet_ords(0u32).next().is_none());
// assert!(facet_reader.facet_ords(1u32).next().is_none());
// Ok(())
// }
}

View File

@@ -808,7 +808,7 @@ mod tests {
use proptest::prop_oneof;
use super::super::operation::UserOperation;
use crate::collector::{Count, TopDocs};
use crate::collector::TopDocs;
use crate::directory::error::LockError;
use crate::error::*;
use crate::indexer::index_writer::MEMORY_BUDGET_NUM_BYTES_MIN;
@@ -1572,74 +1572,20 @@ mod tests {
Ok(())
}
#[derive(Debug, Clone)]
#[derive(Debug, Clone, Copy)]
enum IndexingOp {
AddMultipleDoc {
id: u64,
num_docs: u64,
value: IndexValue,
},
AddDoc {
id: u64,
value: IndexValue,
},
DeleteDoc {
id: u64,
},
DeleteDocQuery {
id: u64,
},
AddDoc { id: u64 },
DeleteDoc { id: u64 },
DeleteDocQuery { id: u64 },
Commit,
Merge,
}
impl IndexingOp {
fn add(id: u64) -> Self {
IndexingOp::AddDoc {
id,
value: IndexValue::F64(id as f64),
}
}
}
use serde::Serialize;
#[derive(Debug, Clone, Serialize)]
#[serde(untagged)]
enum IndexValue {
Str(String),
F64(f64),
U64(u64),
I64(i64),
}
impl Default for IndexValue {
fn default() -> Self {
IndexValue::F64(0.0)
}
}
fn value_strategy() -> impl Strategy<Value = IndexValue> {
prop_oneof![
any::<f64>().prop_map(IndexValue::F64),
any::<u64>().prop_map(IndexValue::U64),
any::<i64>().prop_map(IndexValue::I64),
any::<String>().prop_map(IndexValue::Str),
]
}
fn balanced_operation_strategy() -> impl Strategy<Value = IndexingOp> {
prop_oneof![
(0u64..20u64).prop_map(|id| IndexingOp::DeleteDoc { id }),
(0u64..20u64).prop_map(|id| IndexingOp::DeleteDocQuery { id }),
(0u64..20u64, value_strategy())
.prop_map(move |(id, value)| IndexingOp::AddDoc { id, value }),
((0u64..20u64), (1u64..100), value_strategy()).prop_map(
move |(id, num_docs, value)| {
IndexingOp::AddMultipleDoc {
id,
num_docs,
value,
}
}
),
(0u64..20u64).prop_map(|id| IndexingOp::AddDoc { id }),
(0u64..1u64).prop_map(|_| IndexingOp::Commit),
(0u64..1u64).prop_map(|_| IndexingOp::Merge),
]
@@ -1649,17 +1595,7 @@ mod tests {
prop_oneof![
5 => (0u64..100u64).prop_map(|id| IndexingOp::DeleteDoc { id }),
5 => (0u64..100u64).prop_map(|id| IndexingOp::DeleteDocQuery { id }),
50 => (0u64..100u64, value_strategy())
.prop_map(move |(id, value)| IndexingOp::AddDoc { id, value }),
50 => (0u64..100u64, (1u64..100), value_strategy()).prop_map(
move |(id, num_docs, value)| {
IndexingOp::AddMultipleDoc {
id,
num_docs,
value,
}
}
),
50 => (0u64..100u64).prop_map(|id| IndexingOp::AddDoc { id }),
2 => (0u64..1u64).prop_map(|_| IndexingOp::Commit),
1 => (0u64..1u64).prop_map(|_| IndexingOp::Merge),
]
@@ -1668,27 +1604,19 @@ mod tests {
fn expected_ids(ops: &[IndexingOp]) -> (HashMap<u64, u64>, HashSet<u64>) {
let mut existing_ids = HashMap::new();
let mut deleted_ids = HashSet::new();
for op in ops {
for &op in ops {
match op {
IndexingOp::AddDoc { id, value: _ } => {
*existing_ids.entry(*id).or_insert(0) += 1;
deleted_ids.remove(id);
}
IndexingOp::AddMultipleDoc {
id,
num_docs,
value: _,
} => {
*existing_ids.entry(*id).or_insert(0) += num_docs;
deleted_ids.remove(id);
IndexingOp::AddDoc { id } => {
*existing_ids.entry(id).or_insert(0) += 1;
deleted_ids.remove(&id);
}
IndexingOp::DeleteDoc { id } => {
existing_ids.remove(&id);
deleted_ids.insert(*id);
deleted_ids.insert(id);
}
IndexingOp::DeleteDocQuery { id } => {
existing_ids.remove(&id);
deleted_ids.insert(*id);
deleted_ids.insert(id);
}
_ => {}
}
@@ -1698,19 +1626,16 @@ mod tests {
fn get_id_list(ops: &[IndexingOp]) -> Vec<u64> {
let mut id_list = Vec::new();
for op in ops {
for &op in ops {
match op {
IndexingOp::AddDoc { id, value: _ } => {
id_list.push(*id);
}
IndexingOp::AddMultipleDoc { id, .. } => {
id_list.push(*id);
IndexingOp::AddDoc { id } => {
id_list.push(id);
}
IndexingOp::DeleteDoc { id } => {
id_list.retain(|el| el != id);
id_list.retain(|el| *el != id);
}
IndexingOp::DeleteDocQuery { id } => {
id_list.retain(|el| el != id);
id_list.retain(|el| *el != id);
}
_ => {}
}
@@ -1791,59 +1716,42 @@ mod tests {
let ip_from_id = |id| Ipv6Addr::from_u128(id as u128);
let add_docs = |index_writer: &mut IndexWriter,
id: u64,
value: IndexValue,
num: u64|
-> crate::Result<()> {
let facet = Facet::from(&("/cola/".to_string() + &id.to_string()));
let ip = ip_from_id(id);
let doc = if !id_is_full_doc(id) {
// every 3rd doc has no ip field
doc!(
id_field=>id,
)
} else {
let json = json!({"date1": format!("2022-{id}-01T00:00:01Z"), "date2": format!("{id}-05-01T00:00:01Z"), "id": id, "ip": ip.to_string(), "val": value});
doc!(id_field=>id,
json_field=>json,
bytes_field => id.to_le_bytes().as_slice(),
id_opt_field => id,
ip_field => ip,
ips_field => ip,
ips_field => ip,
multi_numbers=> id,
multi_numbers => id,
bool_field => (id % 2u64) != 0,
i64_field => id as i64,
f64_field => id as f64,
date_field => DateTime::from_timestamp_secs(id as i64),
multi_bools => (id % 2u64) != 0,
multi_bools => (id % 2u64) == 0,
text_field => id.to_string(),
facet_field => facet,
large_text_field => LOREM,
multi_text_fields => multi_text_field_text1,
multi_text_fields => multi_text_field_text2,
multi_text_fields => multi_text_field_text3,
)
};
for _ in 0..num {
index_writer.add_document(doc.clone())?;
}
Ok(())
};
for op in ops {
match op.clone() {
IndexingOp::AddMultipleDoc {
id,
num_docs,
value,
} => {
add_docs(&mut index_writer, id, value, num_docs)?;
}
IndexingOp::AddDoc { id, value } => {
add_docs(&mut index_writer, id, value, 1)?;
for &op in ops {
match op {
IndexingOp::AddDoc { id } => {
let facet = Facet::from(&("/cola/".to_string() + &id.to_string()));
let ip = ip_from_id(id);
if !id_is_full_doc(id) {
// every 3rd doc has no ip field
index_writer.add_document(doc!(
id_field=>id,
))?;
} else {
let json = json!({"date1": format!("2022-{id}-01T00:00:01Z"), "date2": format!("{id}-05-01T00:00:01Z"), "id": id, "ip": ip.to_string()});
index_writer.add_document(doc!(id_field=>id,
json_field=>json,
bytes_field => id.to_le_bytes().as_slice(),
id_opt_field => id,
ip_field => ip,
ips_field => ip,
ips_field => ip,
multi_numbers=> id,
multi_numbers => id,
bool_field => (id % 2u64) != 0,
i64_field => id as i64,
f64_field => id as f64,
date_field => DateTime::from_timestamp_secs(id as i64),
multi_bools => (id % 2u64) != 0,
multi_bools => (id % 2u64) == 0,
text_field => id.to_string(),
facet_field => facet,
large_text_field => LOREM,
multi_text_fields => multi_text_field_text1,
multi_text_fields => multi_text_field_text2,
multi_text_fields => multi_text_field_text3,
))?;
}
}
IndexingOp::DeleteDoc { id } => {
index_writer.delete_term(Term::from_field_u64(id_field, id));
@@ -2124,22 +2032,18 @@ mod tests {
top_docs.iter().map(|el| el.1).collect::<Vec<_>>()
};
let count_search = |term: &str, field| {
let query = QueryParser::for_index(&index, vec![field])
.parse_query(term)
.unwrap();
searcher.search(&query, &Count).unwrap()
};
let count_search2 = |term: Term| {
let do_search2 = |term: Term| {
let query = TermQuery::new(term, IndexRecordOption::Basic);
searcher.search(&query, &Count).unwrap()
let top_docs: Vec<(f32, DocAddress)> =
searcher.search(&query, &TopDocs::with_limit(1000)).unwrap();
top_docs.iter().map(|el| el.1).collect::<Vec<_>>()
};
for (id, count) in &expected_ids_and_num_occurrences {
// skip expensive queries
let (existing_id, count) = (*id, *count);
let get_num_hits = |field| count_search(&existing_id.to_string(), field) as u64;
let get_num_hits = |field| do_search(&existing_id.to_string(), field).len() as u64;
assert_eq!(get_num_hits(id_field), count);
if !id_is_full_doc(existing_id) {
continue;
@@ -2149,31 +2053,29 @@ mod tests {
assert_eq!(get_num_hits(f64_field), count);
// Test multi text
if num_docs_with_values < 1000 {
assert_eq!(
do_search("\"test1 test2\"", multi_text_fields).len(),
num_docs_with_values
);
assert_eq!(
do_search("\"test2 test3\"", multi_text_fields).len(),
num_docs_with_values
);
}
assert_eq!(
do_search("\"test1 test2\"", multi_text_fields).len(),
num_docs_with_values
);
assert_eq!(
do_search("\"test2 test3\"", multi_text_fields).len(),
num_docs_with_values
);
// Test bytes
let term = Term::from_field_bytes(bytes_field, existing_id.to_le_bytes().as_slice());
assert_eq!(count_search2(term) as u64, count);
assert_eq!(do_search2(term).len() as u64, count);
// Test date
let term = Term::from_field_date(
date_field,
DateTime::from_timestamp_secs(existing_id as i64),
);
assert_eq!(count_search2(term) as u64, count);
assert_eq!(do_search2(term).len() as u64, count);
}
for deleted_id in deleted_ids {
let assert_field = |field| {
assert_eq!(count_search(&deleted_id.to_string(), field) as u64, 0);
assert_eq!(do_search(&deleted_id.to_string(), field).len() as u64, 0);
};
assert_field(text_field);
assert_field(f64_field);
@@ -2182,12 +2084,12 @@ mod tests {
// Test bytes
let term = Term::from_field_bytes(bytes_field, deleted_id.to_le_bytes().as_slice());
assert_eq!(count_search2(term), 0);
assert_eq!(do_search2(term).len() as u64, 0);
// Test date
let term =
Term::from_field_date(date_field, DateTime::from_timestamp_secs(deleted_id as i64));
assert_eq!(count_search2(term), 0);
assert_eq!(do_search2(term).len() as u64, 0);
}
// search ip address
//
@@ -2196,13 +2098,13 @@ mod tests {
if !id_is_full_doc(existing_id) {
continue;
}
let do_search_ip_field = |term: &str| count_search(term, ip_field) as u64;
let do_search_ip_field = |term: &str| do_search(term, ip_field).len() as u64;
let ip_addr = Ipv6Addr::from_u128(existing_id as u128);
// Test incoming ip as ipv6
assert_eq!(do_search_ip_field(&format!("\"{ip_addr}\"")), count);
let term = Term::from_field_ip_addr(ip_field, ip_addr);
assert_eq!(count_search2(term) as u64, count);
assert_eq!(do_search2(term).len() as u64, count);
// Test incoming ip as ipv4
if let Some(ip_addr) = ip_addr.to_ipv4_mapped() {
@@ -2219,7 +2121,7 @@ mod tests {
if !sample.is_empty() {
let (left_sample, right_sample) = sample.split_at(sample.len() / 2);
let calc_expected_count = |sample: &[(&u64, &u64)]| {
let expected_count = |sample: &[(&u64, &u64)]| {
sample
.iter()
.filter(|(id, _)| id_is_full_doc(**id))
@@ -2235,17 +2137,18 @@ mod tests {
}
// Query first half
let expected_count = calc_expected_count(left_sample);
if !left_sample.is_empty() && expected_count < 1000 {
if !left_sample.is_empty() {
let expected_count = expected_count(left_sample);
let start_range = *left_sample[0].0;
let end_range = *left_sample.last().unwrap().0;
let query = gen_query_inclusive("id_opt", start_range, end_range);
assert_eq!(count_search(&query, id_opt_field) as u64, expected_count);
assert_eq!(do_search(&query, id_opt_field).len() as u64, expected_count);
// Range query on ip field
let ip1 = ip_from_id(start_range);
let ip2 = ip_from_id(end_range);
let do_search_ip_field = |term: &str| count_search(term, ip_field) as u64;
let do_search_ip_field = |term: &str| do_search(term, ip_field).len() as u64;
let query = gen_query_inclusive("ip", ip1, ip2);
assert_eq!(do_search_ip_field(&query), expected_count);
let query = gen_query_inclusive("ip", "*", ip2);
@@ -2257,19 +2160,19 @@ mod tests {
assert_eq!(do_search_ip_field(&query), expected_count);
}
// Query second half
let expected_count = calc_expected_count(right_sample);
if !right_sample.is_empty() && expected_count < 1000 {
if !right_sample.is_empty() {
let expected_count = expected_count(right_sample);
let start_range = *right_sample[0].0;
let end_range = *right_sample.last().unwrap().0;
// Range query on id opt field
let query =
gen_query_inclusive("id_opt", start_range.to_string(), end_range.to_string());
assert_eq!(count_search(&query, id_opt_field) as u64, expected_count);
assert_eq!(do_search(&query, id_opt_field).len() as u64, expected_count);
// Range query on ip field
let ip1 = ip_from_id(start_range);
let ip2 = ip_from_id(end_range);
let do_search_ip_field = |term: &str| count_search(term, ip_field) as u64;
let do_search_ip_field = |term: &str| do_search(term, ip_field).len() as u64;
let query = gen_query_inclusive("ip", ip1, ip2);
assert_eq!(do_search_ip_field(&query), expected_count);
let query = gen_query_inclusive("ip", ip1, "*");
@@ -2294,7 +2197,7 @@ mod tests {
};
let ip = ip_from_id(existing_id);
let do_search_ip_field = |term: &str| count_search(term, ip_field) as u64;
let do_search_ip_field = |term: &str| do_search(term, ip_field).len() as u64;
// Range query on single value field
let query = gen_query_inclusive("ip", ip, ip);
assert_eq!(do_search_ip_field(&query), count);
@@ -2354,7 +2257,7 @@ mod tests {
#[test]
fn test_fast_field_range() {
let ops: Vec<_> = (0..1000).map(|id| IndexingOp::add(id)).collect();
let ops: Vec<_> = (0..1000).map(|id| IndexingOp::AddDoc { id }).collect();
assert!(test_operation_strategy(&ops, false, true).is_ok());
}
@@ -2362,8 +2265,8 @@ mod tests {
fn test_sort_index_on_opt_field_regression() {
assert!(test_operation_strategy(
&[
IndexingOp::add(81),
IndexingOp::add(70),
IndexingOp::AddDoc { id: 81 },
IndexingOp::AddDoc { id: 70 },
IndexingOp::DeleteDoc { id: 70 }
],
true,
@@ -2372,45 +2275,14 @@ mod tests {
.is_ok());
}
#[test]
fn test_simple_multiple_doc() {
assert!(test_operation_strategy(
&[
IndexingOp::AddMultipleDoc {
id: 7,
num_docs: 800,
value: IndexValue::U64(0),
},
IndexingOp::AddMultipleDoc {
id: 92,
num_docs: 800,
value: IndexValue::U64(0),
},
IndexingOp::AddMultipleDoc {
id: 30,
num_docs: 800,
value: IndexValue::U64(0),
},
IndexingOp::AddMultipleDoc {
id: 33,
num_docs: 800,
value: IndexValue::U64(0),
},
],
true,
false
)
.is_ok());
}
#[test]
fn test_ip_range_query_multivalue_bug() {
assert!(test_operation_strategy(
&[
IndexingOp::add(2),
IndexingOp::AddDoc { id: 2 },
IndexingOp::Commit,
IndexingOp::add(1),
IndexingOp::add(1),
IndexingOp::AddDoc { id: 1 },
IndexingOp::AddDoc { id: 1 },
IndexingOp::Commit,
IndexingOp::Merge
],
@@ -2424,11 +2296,11 @@ mod tests {
fn test_ff_num_ips_regression() {
assert!(test_operation_strategy(
&[
IndexingOp::add(13),
IndexingOp::add(1),
IndexingOp::AddDoc { id: 13 },
IndexingOp::AddDoc { id: 1 },
IndexingOp::Commit,
IndexingOp::DeleteDocQuery { id: 13 },
IndexingOp::add(1),
IndexingOp::AddDoc { id: 1 },
IndexingOp::Commit,
],
false,
@@ -2440,7 +2312,7 @@ mod tests {
#[test]
fn test_minimal_sort_force_end_merge() {
assert!(test_operation_strategy(
&[IndexingOp::add(23), IndexingOp::add(13),],
&[IndexingOp::AddDoc { id: 23 }, IndexingOp::AddDoc { id: 13 },],
false,
false
)
@@ -2501,8 +2373,8 @@ mod tests {
fn test_minimal_sort_force_end_merge_with_delete() {
assert!(test_operation_strategy(
&[
IndexingOp::add(23),
IndexingOp::add(13),
IndexingOp::AddDoc { id: 23 },
IndexingOp::AddDoc { id: 13 },
IndexingOp::DeleteDoc { id: 13 }
],
true,
@@ -2515,8 +2387,8 @@ mod tests {
fn test_minimal_no_sort_no_force_end_merge() {
assert!(test_operation_strategy(
&[
IndexingOp::add(23),
IndexingOp::add(13),
IndexingOp::AddDoc { id: 23 },
IndexingOp::AddDoc { id: 13 },
IndexingOp::DeleteDoc { id: 13 }
],
false,
@@ -2527,7 +2399,7 @@ mod tests {
#[test]
fn test_minimal_sort_merge() {
assert!(test_operation_strategy(&[IndexingOp::add(3),], true, true).is_ok());
assert!(test_operation_strategy(&[IndexingOp::AddDoc { id: 3 },], true, true).is_ok());
}
use proptest::prelude::*;
@@ -2623,14 +2495,14 @@ mod tests {
fn test_delete_bug_reproduction_ip_addr() {
use IndexingOp::*;
let ops = &[
IndexingOp::add(1),
IndexingOp::add(2),
AddDoc { id: 1 },
AddDoc { id: 2 },
Commit,
IndexingOp::add(3),
AddDoc { id: 3 },
DeleteDoc { id: 1 },
Commit,
Merge,
IndexingOp::add(4),
AddDoc { id: 4 },
Commit,
];
test_operation_strategy(&ops[..], false, true).unwrap();
@@ -2639,13 +2511,7 @@ mod tests {
#[test]
fn test_merge_regression_1() {
use IndexingOp::*;
let ops = &[
IndexingOp::add(15),
Commit,
IndexingOp::add(9),
Commit,
Merge,
];
let ops = &[AddDoc { id: 15 }, Commit, AddDoc { id: 9 }, Commit, Merge];
test_operation_strategy(&ops[..], false, true).unwrap();
}
@@ -2653,9 +2519,9 @@ mod tests {
fn test_range_query_bug_1() {
use IndexingOp::*;
let ops = &[
IndexingOp::add(9),
IndexingOp::add(0),
IndexingOp::add(13),
AddDoc { id: 9 },
AddDoc { id: 0 },
AddDoc { id: 13 },
Commit,
];
test_operation_strategy(&ops[..], false, true).unwrap();
@@ -2663,11 +2529,12 @@ mod tests {
#[test]
fn test_range_query_bug_2() {
use IndexingOp::*;
let ops = &[
IndexingOp::add(3),
IndexingOp::add(6),
IndexingOp::add(9),
IndexingOp::add(10),
AddDoc { id: 3 },
AddDoc { id: 6 },
AddDoc { id: 9 },
AddDoc { id: 10 },
];
test_operation_strategy(&ops[..], false, false).unwrap();
}
@@ -2689,7 +2556,7 @@ mod tests {
assert!(test_operation_strategy(
&[
IndexingOp::DeleteDoc { id: 0 },
IndexingOp::add(6),
IndexingOp::AddDoc { id: 6 },
IndexingOp::DeleteDocQuery { id: 11 },
IndexingOp::Commit,
IndexingOp::Merge,
@@ -2706,13 +2573,10 @@ mod tests {
fn test_bug_1617_2() {
assert!(test_operation_strategy(
&[
IndexingOp::AddDoc {
id: 13,
value: Default::default()
},
IndexingOp::AddDoc { id: 13 },
IndexingOp::DeleteDoc { id: 13 },
IndexingOp::Commit,
IndexingOp::add(30),
IndexingOp::AddDoc { id: 30 },
IndexingOp::Commit,
IndexingOp::Merge,
],

View File

@@ -202,8 +202,9 @@ impl SegmentWriter {
match field_entry.field_type() {
FieldType::Facet(_) => {
let mut facet_tokenizer = FacetTokenizer::default(); // this can be global
for value in values {
let value = value.as_value();
for value_access in values {
// Used to help with linting and type checking.
let value = value_access as D::Value<'_>;
let facet_str = value.as_facet().ok_or_else(make_schema_error)?;
let mut facet_tokenizer = facet_tokenizer.token_stream(facet_str);
@@ -219,14 +220,15 @@ impl SegmentWriter {
}
FieldType::Str(_) => {
let mut indexing_position = IndexingPosition::default();
for value in values {
let value = value.as_value();
for value_access in values {
// Used to help with linting and type checking.
let value = value_access as D::Value<'_>;
let mut token_stream = if let Some(text) = value.as_str() {
let text_analyzer =
&mut self.per_field_text_analyzers[field.field_id() as usize];
text_analyzer.token_stream(text)
} else if let Some(tok_str) = value.into_pre_tokenized_text() {
} else if let Some(tok_str) = value.as_pre_tokenized_text() {
BoxTokenStream::new(PreTokenizedStream::from(*tok_str.clone()))
} else {
continue;
@@ -248,8 +250,9 @@ impl SegmentWriter {
}
FieldType::U64(_) => {
let mut num_vals = 0;
for value in values {
let value = value.as_value();
for value_access in values {
// Used to help with linting and type checking.
let value = value_access as D::Value<'_>;
num_vals += 1;
let u64_val = value.as_u64().ok_or_else(make_schema_error)?;
@@ -262,8 +265,10 @@ impl SegmentWriter {
}
FieldType::Date(_) => {
let mut num_vals = 0;
for value in values {
let value = value.as_value();
for value_access in values {
// Used to help with linting and type checking.
let value_access = value_access as D::Value<'_>;
let value = value_access.as_value();
num_vals += 1;
let date_val = value.as_datetime().ok_or_else(make_schema_error)?;
@@ -277,8 +282,9 @@ impl SegmentWriter {
}
FieldType::I64(_) => {
let mut num_vals = 0;
for value in values {
let value = value.as_value();
for value_access in values {
// Used to help with linting and type checking.
let value = value_access as D::Value<'_>;
num_vals += 1;
let i64_val = value.as_i64().ok_or_else(make_schema_error)?;
@@ -291,8 +297,10 @@ impl SegmentWriter {
}
FieldType::F64(_) => {
let mut num_vals = 0;
for value in values {
let value = value.as_value();
for value_access in values {
// Used to help with linting and type checking.
let value = value_access as D::Value<'_>;
num_vals += 1;
let f64_val = value.as_f64().ok_or_else(make_schema_error)?;
term_buffer.set_f64(f64_val);
@@ -304,8 +312,10 @@ impl SegmentWriter {
}
FieldType::Bool(_) => {
let mut num_vals = 0;
for value in values {
let value = value.as_value();
for value_access in values {
// Used to help with linting and type checking.
let value = value_access as D::Value<'_>;
num_vals += 1;
let bool_val = value.as_bool().ok_or_else(make_schema_error)?;
term_buffer.set_bool(bool_val);
@@ -317,8 +327,10 @@ impl SegmentWriter {
}
FieldType::Bytes(_) => {
let mut num_vals = 0;
for value in values {
let value = value.as_value();
for value_access in values {
// Used to help with linting and type checking.
let value = value_access as D::Value<'_>;
num_vals += 1;
let bytes = value.as_bytes().ok_or_else(make_schema_error)?;
term_buffer.set_bytes(bytes);
@@ -352,8 +364,9 @@ impl SegmentWriter {
}
FieldType::IpAddr(_) => {
let mut num_vals = 0;
for value in values {
let value = value.as_value();
for value_access in values {
// Used to help with linting and type checking.
let value = value_access as D::Value<'_>;
num_vals += 1;
let ip_addr = value.as_ip_addr().ok_or_else(make_schema_error)?;

View File

@@ -2,7 +2,7 @@ use crate::docset::{DocSet, TERMINATED};
use crate::fieldnorm::FieldNormReader;
use crate::postings::Postings;
use crate::query::bm25::Bm25Weight;
use crate::query::phrase_query::{intersection_count, PhraseScorer};
use crate::query::phrase_query::{intersection_count, intersection_exists, PhraseScorer};
use crate::query::Scorer;
use crate::{DocId, Score};
@@ -92,14 +92,17 @@ impl<TPostings: Postings> Scorer for PhraseKind<TPostings> {
}
}
pub struct PhrasePrefixScorer<TPostings: Postings> {
pub struct PhrasePrefixScorer<TPostings: Postings, const SCORING_ENABLED: bool> {
phrase_scorer: PhraseKind<TPostings>,
suffixes: Vec<TPostings>,
suffix_offset: u32,
phrase_count: u32,
suffix_position_buffer: Vec<u32>,
}
impl<TPostings: Postings> PhrasePrefixScorer<TPostings> {
impl<TPostings: Postings, const SCORING_ENABLED: bool>
PhrasePrefixScorer<TPostings, SCORING_ENABLED>
{
// If similarity_weight is None, then scoring is disabled.
pub fn new(
mut term_postings: Vec<(usize, TPostings)>,
@@ -107,7 +110,7 @@ impl<TPostings: Postings> PhrasePrefixScorer<TPostings> {
fieldnorm_reader: FieldNormReader,
suffixes: Vec<TPostings>,
suffix_pos: usize,
) -> PhrasePrefixScorer<TPostings> {
) -> PhrasePrefixScorer<TPostings, SCORING_ENABLED> {
// correct indices so we can merge with our suffix term the PhraseScorer doesn't know about
let max_offset = term_postings
.iter()
@@ -140,6 +143,7 @@ impl<TPostings: Postings> PhrasePrefixScorer<TPostings> {
suffixes,
suffix_offset: (max_offset - suffix_pos) as u32,
phrase_count: 0,
suffix_position_buffer: Vec::with_capacity(100),
};
if phrase_prefix_scorer.doc() != TERMINATED && !phrase_prefix_scorer.matches_prefix() {
phrase_prefix_scorer.advance();
@@ -153,7 +157,6 @@ impl<TPostings: Postings> PhrasePrefixScorer<TPostings> {
fn matches_prefix(&mut self) -> bool {
let mut count = 0;
let mut positions = Vec::new();
let current_doc = self.doc();
let pos_matching = self.phrase_scorer.get_intersection();
for suffix in &mut self.suffixes {
@@ -162,16 +165,27 @@ impl<TPostings: Postings> PhrasePrefixScorer<TPostings> {
}
let doc = suffix.seek(current_doc);
if doc == current_doc {
suffix.positions_with_offset(self.suffix_offset, &mut positions);
count += intersection_count(pos_matching, &positions);
suffix.positions_with_offset(self.suffix_offset, &mut self.suffix_position_buffer);
if SCORING_ENABLED {
count += intersection_count(pos_matching, &self.suffix_position_buffer);
} else {
if intersection_exists(pos_matching, &self.suffix_position_buffer) {
return true;
}
}
}
}
if !SCORING_ENABLED {
return false;
}
self.phrase_count = count as u32;
count != 0
}
}
impl<TPostings: Postings> DocSet for PhrasePrefixScorer<TPostings> {
impl<TPostings: Postings, const SCORING_ENABLED: bool> DocSet
for PhrasePrefixScorer<TPostings, SCORING_ENABLED>
{
fn advance(&mut self) -> DocId {
loop {
let doc = self.phrase_scorer.advance();
@@ -198,9 +212,15 @@ impl<TPostings: Postings> DocSet for PhrasePrefixScorer<TPostings> {
}
}
impl<TPostings: Postings> Scorer for PhrasePrefixScorer<TPostings> {
impl<TPostings: Postings, const SCORING_ENABLED: bool> Scorer
for PhrasePrefixScorer<TPostings, SCORING_ENABLED>
{
fn score(&mut self) -> Score {
if SCORING_ENABLED {
self.phrase_scorer.score()
} else {
1.0f32
}
// TODO modify score??
self.phrase_scorer.score()
}
}

View File

@@ -42,11 +42,11 @@ impl PhrasePrefixWeight {
Ok(FieldNormReader::constant(reader.max_doc(), 1))
}
pub(crate) fn phrase_scorer(
pub(crate) fn phrase_prefix_scorer<const SCORING_ENABLED: bool>(
&self,
reader: &SegmentReader,
boost: Score,
) -> crate::Result<Option<PhrasePrefixScorer<SegmentPostings>>> {
) -> crate::Result<Option<PhrasePrefixScorer<SegmentPostings, SCORING_ENABLED>>> {
let similarity_weight_opt = self
.similarity_weight_opt
.as_ref()
@@ -128,15 +128,20 @@ impl PhrasePrefixWeight {
impl Weight for PhrasePrefixWeight {
fn scorer(&self, reader: &SegmentReader, boost: Score) -> crate::Result<Box<dyn Scorer>> {
if let Some(scorer) = self.phrase_scorer(reader, boost)? {
Ok(Box::new(scorer))
if self.similarity_weight_opt.is_some() {
if let Some(scorer) = self.phrase_prefix_scorer::<true>(reader, boost)? {
return Ok(Box::new(scorer));
}
} else {
Ok(Box::new(EmptyScorer))
if let Some(scorer) = self.phrase_prefix_scorer::<false>(reader, boost)? {
return Ok(Box::new(scorer));
}
}
Ok(Box::new(EmptyScorer))
}
fn explain(&self, reader: &SegmentReader, doc: DocId) -> crate::Result<Explanation> {
let scorer_opt = self.phrase_scorer(reader, 1.0)?;
let scorer_opt = self.phrase_prefix_scorer::<true>(reader, 1.0)?;
if scorer_opt.is_none() {
return Err(does_not_match(doc));
}
@@ -200,7 +205,7 @@ mod tests {
.unwrap()
.unwrap();
let mut phrase_scorer = phrase_weight
.phrase_scorer(searcher.segment_reader(0u32), 1.0)?
.phrase_prefix_scorer::<true>(searcher.segment_reader(0u32), 1.0)?
.unwrap();
assert_eq!(phrase_scorer.doc(), 1);
assert_eq!(phrase_scorer.phrase_count(), 2);
@@ -211,6 +216,38 @@ mod tests {
Ok(())
}
#[test]
pub fn test_phrase_no_count() -> crate::Result<()> {
let index = create_index(&[
"aa bb dd cc",
"aa aa bb c dd aa bb cc aa bb dc",
" aa bb cd",
])?;
let schema = index.schema();
let text_field = schema.get_field("text").unwrap();
let searcher = index.reader()?.searcher();
let phrase_query = PhrasePrefixQuery::new(vec![
Term::from_field_text(text_field, "aa"),
Term::from_field_text(text_field, "bb"),
Term::from_field_text(text_field, "c"),
]);
let enable_scoring = EnableScoring::enabled_from_searcher(&searcher);
let phrase_weight = phrase_query
.phrase_prefix_query_weight(enable_scoring)
.unwrap()
.unwrap();
let mut phrase_scorer = phrase_weight
.phrase_prefix_scorer::<false>(searcher.segment_reader(0u32), 1.0)?
.unwrap();
assert_eq!(phrase_scorer.doc(), 1);
assert_eq!(phrase_scorer.phrase_count(), 0);
assert_eq!(phrase_scorer.advance(), 2);
assert_eq!(phrase_scorer.doc(), 2);
assert_eq!(phrase_scorer.phrase_count(), 0);
assert_eq!(phrase_scorer.advance(), TERMINATED);
Ok(())
}
#[test]
pub fn test_phrase_count_mid() -> crate::Result<()> {
let index = create_index(&["aa dd cc", "aa aa bb c dd aa bb cc aa dc", " aa bb cd"])?;
@@ -227,7 +264,7 @@ mod tests {
.unwrap()
.unwrap();
let mut phrase_scorer = phrase_weight
.phrase_scorer(searcher.segment_reader(0u32), 1.0)?
.phrase_prefix_scorer::<true>(searcher.segment_reader(0u32), 1.0)?
.unwrap();
assert_eq!(phrase_scorer.doc(), 1);
assert_eq!(phrase_scorer.phrase_count(), 2);

View File

@@ -3,8 +3,8 @@ mod phrase_scorer;
mod phrase_weight;
pub use self::phrase_query::PhraseQuery;
pub(crate) use self::phrase_scorer::intersection_count;
pub use self::phrase_scorer::PhraseScorer;
pub(crate) use self::phrase_scorer::{intersection_count, intersection_exists};
pub use self::phrase_weight::PhraseWeight;
#[cfg(test)]

View File

@@ -58,7 +58,7 @@ pub struct PhraseScorer<TPostings: Postings> {
}
/// Returns true if and only if the two sorted arrays contain a common element
fn intersection_exists(left: &[u32], right: &[u32]) -> bool {
pub(crate) fn intersection_exists(left: &[u32], right: &[u32]) -> bool {
let mut left_index = 0;
let mut right_index = 0;
while left_index < left.len() && right_index < right.len() {

View File

@@ -2,7 +2,7 @@ use std::fmt;
use std::ops::Bound;
use crate::query::Occur;
use crate::schema::{Term, Type};
use crate::schema::{Field, Term, Type};
use crate::Score;
#[derive(Clone)]
@@ -20,6 +20,8 @@ pub enum LogicalLiteral {
upper: Bound<Term>,
},
Set {
field: Field,
value_type: Type,
elements: Vec<Term>,
},
All,

View File

@@ -832,11 +832,17 @@ impl QueryParser {
let (field, json_path) = try_tuple!(self
.split_full_path(&full_path)
.ok_or_else(|| QueryParserError::FieldDoesNotExist(full_path.clone())));
let field_entry = self.schema.get_field_entry(field);
let value_type = field_entry.field_type().value_type();
let (elements, errors) = elements
.into_iter()
.map(|element| self.compute_boundary_term(field, json_path, &element))
.partition_result();
let logical_ast = LogicalAst::Leaf(Box::new(LogicalLiteral::Set { elements }));
let logical_ast = LogicalAst::Leaf(Box::new(LogicalLiteral::Set {
elements,
field,
value_type,
}));
(Some(logical_ast), errors)
}
UserInputLeaf::Exists { .. } => (

View File

@@ -17,6 +17,15 @@ pub trait Value<'a>: Send + Sync + Debug {
/// Returns the field value represented by an enum which borrows it's data.
fn as_value(&self) -> ReferenceValue<'a, Self>;
#[inline]
/// Returns if the value is `null` or not.
fn is_null(&self) -> bool {
matches!(
self.as_value(),
ReferenceValue::Leaf(ReferenceValueLeaf::Null)
)
}
#[inline]
/// If the Value is a leaf, returns the associated leaf. Returns None otherwise.
fn as_leaf(&self) -> Option<ReferenceValueLeaf<'a>> {
@@ -108,6 +117,18 @@ pub trait Value<'a>: Send + Sync + Debug {
None
}
}
#[inline]
/// Returns true if the Value is an array.
fn is_array(&self) -> bool {
matches!(self.as_value(), ReferenceValue::Object(_))
}
#[inline]
/// Returns true if the Value is an object.
fn is_object(&self) -> bool {
matches!(self.as_value(), ReferenceValue::Object(_))
}
}
/// A enum representing a leaf value for tantivy to index.