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11
CHANGELOG.md
11
CHANGELOG.md
@@ -1,3 +1,14 @@
|
||||
Tantivy 0.5.2
|
||||
===========================
|
||||
- bugfix #274
|
||||
- bugfix #280
|
||||
- bugfix #289
|
||||
|
||||
Tantivy 0.5.1
|
||||
==========================
|
||||
- bugfix #254 : tantivy failed if no documents in a segment contained a specific field.
|
||||
|
||||
|
||||
Tantivy 0.5
|
||||
==========================
|
||||
- Faceting
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
[package]
|
||||
name = "tantivy"
|
||||
version = "0.5.0"
|
||||
version = "0.5.2"
|
||||
authors = ["Paul Masurel <paul.masurel@gmail.com>"]
|
||||
build = "build.rs"
|
||||
license = "MIT"
|
||||
@@ -32,7 +32,7 @@ itertools = "0.5.9"
|
||||
lz4 = "1.20"
|
||||
bit-set = "0.4.0"
|
||||
time = "0.1"
|
||||
uuid = { version = "0.5", features = ["v4", "serde"] }
|
||||
uuid = { version = "0.6", features = ["v4", "serde"] }
|
||||
chan = "0.1"
|
||||
crossbeam = "0.3"
|
||||
futures = "0.1"
|
||||
|
||||
@@ -60,7 +60,7 @@ impl TopCollector {
|
||||
panic!("Limit must be strictly greater than 0.");
|
||||
}
|
||||
TopCollector {
|
||||
limit: limit,
|
||||
limit,
|
||||
heap: BinaryHeap::with_capacity(limit),
|
||||
segment_id: 0,
|
||||
}
|
||||
@@ -119,7 +119,7 @@ impl Collector for TopCollector {
|
||||
}
|
||||
} else {
|
||||
let wrapped_doc = GlobalScoredDoc {
|
||||
score: score,
|
||||
score,
|
||||
doc_address: DocAddress(self.segment_id, doc),
|
||||
};
|
||||
self.heap.push(wrapped_doc);
|
||||
|
||||
@@ -16,10 +16,7 @@ pub struct FileAddr {
|
||||
|
||||
impl FileAddr {
|
||||
fn new(field: Field, idx: usize) -> FileAddr {
|
||||
FileAddr {
|
||||
field: field,
|
||||
idx: idx,
|
||||
}
|
||||
FileAddr { field, idx }
|
||||
}
|
||||
}
|
||||
|
||||
@@ -34,8 +31,8 @@ impl BinarySerializable for FileAddr {
|
||||
let field = Field::deserialize(reader)?;
|
||||
let idx = VInt::deserialize(reader)?.0 as usize;
|
||||
Ok(FileAddr {
|
||||
field: field,
|
||||
idx: idx,
|
||||
field,
|
||||
idx,
|
||||
})
|
||||
}
|
||||
}
|
||||
@@ -169,10 +166,7 @@ impl CompositeFile {
|
||||
/// to a given `Field` and stored in a `CompositeFile`.
|
||||
pub fn open_read_with_idx(&self, field: Field, idx: usize) -> Option<ReadOnlySource> {
|
||||
self.offsets_index
|
||||
.get(&FileAddr {
|
||||
field: field,
|
||||
idx: idx,
|
||||
})
|
||||
.get(&FileAddr { field, idx, })
|
||||
.map(|&(from, to)| self.data.slice(from, to))
|
||||
}
|
||||
}
|
||||
|
||||
@@ -14,7 +14,7 @@ impl<'a> OpenTimer<'a> {
|
||||
/// when the `OpenTimer` is dropped.
|
||||
pub fn open(&mut self, name: &'static str) -> OpenTimer {
|
||||
OpenTimer {
|
||||
name: name,
|
||||
name,
|
||||
timer_tree: self.timer_tree,
|
||||
start: PreciseTime::now(),
|
||||
depth: self.depth + 1,
|
||||
@@ -58,7 +58,7 @@ impl TimerTree {
|
||||
/// Open a new named subtask
|
||||
pub fn open(&mut self, name: &'static str) -> OpenTimer {
|
||||
OpenTimer {
|
||||
name: name,
|
||||
name,
|
||||
timer_tree: self,
|
||||
start: PreciseTime::now(),
|
||||
depth: 0,
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
use common::bitpacker::compute_num_bits;
|
||||
use common::compute_num_bits;
|
||||
use common::bitpacker::{BitPacker, BitUnpacker};
|
||||
use common::CountingWriter;
|
||||
use std::cmp;
|
||||
@@ -30,7 +30,7 @@ pub fn compress_sorted(vals: &mut [u32], output: &mut [u8], offset: u32) -> usiz
|
||||
.unwrap();
|
||||
}
|
||||
let compressed_size = counting_writer.written_bytes();
|
||||
assert_eq!(compressed_size, compute_block_size(num_bits));
|
||||
assert_eq!(compressed_size, compressed_block_size(num_bits));
|
||||
compressed_size
|
||||
}
|
||||
|
||||
@@ -112,14 +112,14 @@ impl BlockDecoder {
|
||||
) -> usize {
|
||||
let consumed_size = {
|
||||
let num_bits = compressed_data[0];
|
||||
let bit_unpacker = BitUnpacker::new(&compressed_data[1..], num_bits as usize);
|
||||
let bit_unpacker = BitUnpacker::new(&compressed_data[1..], num_bits);
|
||||
for i in 0..COMPRESSION_BLOCK_SIZE {
|
||||
let delta = bit_unpacker.get(i);
|
||||
let val = offset + delta as u32;
|
||||
self.output[i] = val;
|
||||
offset = val;
|
||||
}
|
||||
compute_block_size(num_bits)
|
||||
compressed_block_size(num_bits)
|
||||
};
|
||||
self.output_len = COMPRESSION_BLOCK_SIZE;
|
||||
consumed_size
|
||||
@@ -127,7 +127,7 @@ impl BlockDecoder {
|
||||
|
||||
pub fn uncompress_block_unsorted<'a>(&mut self, compressed_data: &'a [u8]) -> usize {
|
||||
let num_bits = compressed_data[0];
|
||||
let bit_unpacker = BitUnpacker::new(&compressed_data[1..], num_bits as usize);
|
||||
let bit_unpacker = BitUnpacker::new(&compressed_data[1..], num_bits);
|
||||
for i in 0..COMPRESSION_BLOCK_SIZE {
|
||||
self.output[i] = bit_unpacker.get(i) as u32;
|
||||
}
|
||||
|
||||
@@ -33,7 +33,12 @@ impl IndexMeta {
|
||||
|
||||
impl fmt::Debug for IndexMeta {
|
||||
fn fmt(&self, f: &mut fmt::Formatter) -> fmt::Result {
|
||||
write!(f, "{}", serde_json::ser::to_string(self).expect("JSON serialization for IndexMeta should never fail."))
|
||||
write!(
|
||||
f,
|
||||
"{}",
|
||||
serde_json::ser::to_string(self)
|
||||
.expect("JSON serialization for IndexMeta should never fail.")
|
||||
)
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
@@ -7,6 +7,7 @@ use schema::Term;
|
||||
use fastfield::DeleteBitSet;
|
||||
use compression::CompressedIntStream;
|
||||
use postings::FreqReadingOption;
|
||||
use schema::FieldType;
|
||||
|
||||
/// The inverted index reader is in charge of accessing
|
||||
/// the inverted index associated to a specific field.
|
||||
@@ -31,14 +32,14 @@ pub struct InvertedIndexReader {
|
||||
|
||||
impl InvertedIndexReader {
|
||||
pub(crate) fn new(
|
||||
termdict_source: ReadOnlySource,
|
||||
termdict: TermDictionaryImpl,
|
||||
postings_source: ReadOnlySource,
|
||||
positions_source: ReadOnlySource,
|
||||
delete_bitset: DeleteBitSet,
|
||||
record_option: IndexRecordOption,
|
||||
) -> InvertedIndexReader {
|
||||
InvertedIndexReader {
|
||||
termdict: TermDictionaryImpl::from_source(termdict_source),
|
||||
termdict,
|
||||
postings_source,
|
||||
positions_source,
|
||||
delete_bitset,
|
||||
@@ -46,6 +47,21 @@ impl InvertedIndexReader {
|
||||
}
|
||||
}
|
||||
|
||||
/// Creates an empty `InvertedIndexReader` object, which
|
||||
/// contains no terms at all.
|
||||
pub fn empty(field_type: FieldType) -> InvertedIndexReader {
|
||||
let record_option = field_type
|
||||
.get_index_record_option()
|
||||
.unwrap_or(IndexRecordOption::Basic);
|
||||
InvertedIndexReader::new(
|
||||
TermDictionaryImpl::empty(field_type),
|
||||
ReadOnlySource::empty(),
|
||||
ReadOnlySource::empty(),
|
||||
DeleteBitSet::empty(),
|
||||
record_option,
|
||||
)
|
||||
}
|
||||
|
||||
/// Returns the term info associated with the term.
|
||||
pub fn get_term_info(&self, term: &Term) -> Option<TermInfo> {
|
||||
self.termdict.get(term.value_bytes())
|
||||
|
||||
@@ -8,7 +8,6 @@ use core::SegmentMeta;
|
||||
use fastfield::{self, FastFieldNotAvailableError};
|
||||
use fastfield::DeleteBitSet;
|
||||
use store::StoreReader;
|
||||
use directory::ReadOnlySource;
|
||||
use schema::Document;
|
||||
use DocId;
|
||||
use std::sync::Arc;
|
||||
@@ -97,7 +96,8 @@ impl SegmentReader {
|
||||
field: Field,
|
||||
) -> fastfield::Result<FastFieldReader<Item>> {
|
||||
let field_entry = self.schema.get_field_entry(field);
|
||||
if Item::fast_field_cardinality(field_entry.field_type()) == Some(Cardinality::SingleValue) {
|
||||
if Item::fast_field_cardinality(field_entry.field_type()) == Some(Cardinality::SingleValue)
|
||||
{
|
||||
self.fast_fields_composite
|
||||
.open_read(field)
|
||||
.ok_or_else(|| FastFieldNotAvailableError::new(field_entry))
|
||||
@@ -107,19 +107,30 @@ impl SegmentReader {
|
||||
}
|
||||
}
|
||||
|
||||
pub(crate) fn fast_field_reader_with_idx<Item: FastValue>(
|
||||
&self,
|
||||
field: Field,
|
||||
idx: usize
|
||||
) -> fastfield::Result<FastFieldReader<Item>> {
|
||||
if let Some(ff_source) = self.fast_fields_composite.open_read_with_idx(field, idx) {
|
||||
Ok(FastFieldReader::open(ff_source))
|
||||
} else {
|
||||
let field_entry = self.schema.get_field_entry(field);
|
||||
Err(FastFieldNotAvailableError::new(field_entry))
|
||||
}
|
||||
}
|
||||
|
||||
/// Accessor to the `MultiValueIntFastFieldReader` associated to a given `Field`.
|
||||
/// May panick if the field is not a multivalued fastfield of the type `Item`.
|
||||
pub fn multi_fast_field_reader<Item: FastValue>(&self, field: Field) -> fastfield::Result<MultiValueIntFastFieldReader<Item>> {
|
||||
pub fn multi_fast_field_reader<Item: FastValue>(
|
||||
&self,
|
||||
field: Field,
|
||||
) -> fastfield::Result<MultiValueIntFastFieldReader<Item>> {
|
||||
let field_entry = self.schema.get_field_entry(field);
|
||||
if Item::fast_field_cardinality(field_entry.field_type()) == Some(Cardinality::MultiValues) {
|
||||
let idx_reader = self.fast_fields_composite
|
||||
.open_read_with_idx(field, 0)
|
||||
.ok_or_else(|| FastFieldNotAvailableError::new(field_entry))
|
||||
.map(FastFieldReader::open)?;
|
||||
let vals_reader = self.fast_fields_composite
|
||||
.open_read_with_idx(field, 1)
|
||||
.ok_or_else(|| FastFieldNotAvailableError::new(field_entry))
|
||||
.map(FastFieldReader::open)?;
|
||||
if Item::fast_field_cardinality(field_entry.field_type()) == Some(Cardinality::MultiValues)
|
||||
{
|
||||
let idx_reader = self.fast_field_reader_with_idx(field, 0)?;
|
||||
let vals_reader = self.fast_field_reader_with_idx(field, 1)?;
|
||||
Ok(MultiValueIntFastFieldReader::open(idx_reader, vals_reader))
|
||||
} else {
|
||||
Err(FastFieldNotAvailableError::new(field_entry))
|
||||
@@ -218,6 +229,8 @@ impl SegmentReader {
|
||||
}
|
||||
|
||||
/// Returns a field reader associated to the field given in argument.
|
||||
/// If the field was not present in the index during indexing time,
|
||||
/// the InvertedIndexReader is empty.
|
||||
///
|
||||
/// The field reader is in charge of iterating through the
|
||||
/// term dictionary associated to a specific field,
|
||||
@@ -230,27 +243,38 @@ impl SegmentReader {
|
||||
{
|
||||
return Arc::clone(inv_idx_reader);
|
||||
}
|
||||
let field_entry = self.schema.get_field_entry(field);
|
||||
let field_type = field_entry.field_type();
|
||||
let record_option_opt = field_type.get_index_record_option();
|
||||
|
||||
let record_option = self.schema
|
||||
.get_field_entry(field)
|
||||
.field_type()
|
||||
.get_index_record_option()
|
||||
.expect("Field does not seem indexed.");
|
||||
if record_option_opt.is_none() {
|
||||
panic!("Field {:?} does not seem indexed.", field_entry.name());
|
||||
}
|
||||
|
||||
let termdict_source: ReadOnlySource = self.termdict_composite
|
||||
let record_option = record_option_opt.unwrap();
|
||||
|
||||
let postings_source_opt = self.postings_composite.open_read(field);
|
||||
|
||||
if postings_source_opt.is_none() {
|
||||
// no documents in the segment contained this field.
|
||||
// As a result, no data is associated to the inverted index.
|
||||
//
|
||||
// Returns an empty inverted index.
|
||||
return Arc::new(InvertedIndexReader::empty(field_type.clone()));
|
||||
}
|
||||
|
||||
let postings_source = postings_source_opt.unwrap();
|
||||
|
||||
let termdict_source = self.termdict_composite
|
||||
.open_read(field)
|
||||
.expect("Failed to open field term dictionary in composite file. Is the field indexed");
|
||||
|
||||
let postings_source = self.postings_composite
|
||||
.open_read(field)
|
||||
.expect("Index corrupted. Failed to open field postings in composite file.");
|
||||
|
||||
let positions_source = self.positions_composite
|
||||
.open_read(field)
|
||||
.expect("Index corrupted. Failed to open field positions in composite file.");
|
||||
|
||||
let inv_idx_reader = Arc::new(InvertedIndexReader::new(
|
||||
termdict_source,
|
||||
TermDictionaryImpl::from_source(termdict_source),
|
||||
postings_source,
|
||||
positions_source,
|
||||
self.delete_bitset.clone(),
|
||||
|
||||
@@ -118,9 +118,9 @@ struct QuadraticProbing {
|
||||
impl QuadraticProbing {
|
||||
fn compute(hash: usize, mask: usize) -> QuadraticProbing {
|
||||
QuadraticProbing {
|
||||
hash: hash,
|
||||
hash,
|
||||
i: 0,
|
||||
mask: mask,
|
||||
mask,
|
||||
}
|
||||
}
|
||||
|
||||
@@ -137,7 +137,7 @@ impl<'a> TermHashMap<'a> {
|
||||
let table: Vec<KeyValue> = iter::repeat(KeyValue::default()).take(table_size).collect();
|
||||
TermHashMap {
|
||||
table: table.into_boxed_slice(),
|
||||
heap: heap,
|
||||
heap,
|
||||
mask: table_size - 1,
|
||||
occupied: Vec::with_capacity(table_size / 2),
|
||||
}
|
||||
@@ -158,11 +158,10 @@ impl<'a> TermHashMap<'a> {
|
||||
(key_bytes, expull_addr)
|
||||
}
|
||||
|
||||
pub fn set_bucket(&mut self, hash: u32, key_bytes_ref: BytesRef, bucket: usize) {
|
||||
pub fn set_bucket(&mut self, hash: u32, key_value_addr: BytesRef, bucket: usize) {
|
||||
self.occupied.push(bucket);
|
||||
self.table[bucket] = KeyValue {
|
||||
key_value_addr: key_bytes_ref,
|
||||
hash: hash,
|
||||
key_value_addr, hash
|
||||
};
|
||||
}
|
||||
|
||||
@@ -193,7 +192,10 @@ impl<'a> TermHashMap<'a> {
|
||||
} else if kv.hash == hash {
|
||||
let (stored_key, expull_addr): (&[u8], u32) = self.get_key_value(kv.key_value_addr);
|
||||
if stored_key == key_bytes {
|
||||
return (bucket as UnorderedTermId, self.heap.get_mut_ref(expull_addr));
|
||||
return (
|
||||
bucket as UnorderedTermId,
|
||||
self.heap.get_mut_ref(expull_addr),
|
||||
);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
@@ -106,7 +106,6 @@ pub trait DocSet {
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
impl<TDocSet: DocSet + ?Sized> DocSet for Box<TDocSet> {
|
||||
fn advance(&mut self) -> bool {
|
||||
let unboxed: &mut TDocSet = self.borrow_mut();
|
||||
@@ -133,11 +132,8 @@ impl<TDocSet: DocSet + ?Sized> DocSet for Box<TDocSet> {
|
||||
unboxed.count()
|
||||
}
|
||||
|
||||
|
||||
fn append_to_bitset(&mut self, bitset: &mut BitSet) {
|
||||
let unboxed: &mut TDocSet = self.borrow_mut();
|
||||
unboxed.append_to_bitset(bitset);
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
|
||||
@@ -36,7 +36,7 @@ impl FacetReader {
|
||||
) -> FacetReader {
|
||||
FacetReader {
|
||||
term_ords,
|
||||
term_dict
|
||||
term_dict,
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
@@ -67,7 +67,6 @@ pub trait FastValue: Default + Clone + Copy {
|
||||
fn as_u64(&self) -> u64;
|
||||
}
|
||||
|
||||
|
||||
impl FastValue for u64 {
|
||||
fn from_u64(val: u64) -> Self {
|
||||
val
|
||||
@@ -83,10 +82,8 @@ impl FastValue for u64 {
|
||||
|
||||
fn fast_field_cardinality(field_type: &FieldType) -> Option<Cardinality> {
|
||||
match *field_type {
|
||||
FieldType::U64(ref integer_options) =>
|
||||
integer_options.get_fastfield_cardinality(),
|
||||
FieldType::HierarchicalFacet =>
|
||||
Some(Cardinality::MultiValues),
|
||||
FieldType::U64(ref integer_options) => integer_options.get_fastfield_cardinality(),
|
||||
FieldType::HierarchicalFacet => Some(Cardinality::MultiValues),
|
||||
_ => None,
|
||||
}
|
||||
}
|
||||
@@ -101,11 +98,9 @@ impl FastValue for i64 {
|
||||
common::i64_to_u64(*self)
|
||||
}
|
||||
|
||||
|
||||
fn fast_field_cardinality(field_type: &FieldType) -> Option<Cardinality> {
|
||||
match *field_type {
|
||||
FieldType::I64(ref integer_options) =>
|
||||
integer_options.get_fastfield_cardinality(),
|
||||
FieldType::I64(ref integer_options) => integer_options.get_fastfield_cardinality(),
|
||||
_ => None,
|
||||
}
|
||||
}
|
||||
@@ -123,7 +118,6 @@ fn value_to_u64(value: &Value) -> u64 {
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
#[cfg(test)]
|
||||
mod tests {
|
||||
|
||||
|
||||
@@ -17,7 +17,7 @@ mod tests {
|
||||
let mut schema_builder = SchemaBuilder::default();
|
||||
let field = schema_builder.add_u64_field(
|
||||
"multifield",
|
||||
IntOptions::default().set_fast(Cardinality::MultiValues)
|
||||
IntOptions::default().set_fast(Cardinality::MultiValues),
|
||||
);
|
||||
let schema = schema_builder.build();
|
||||
let index = Index::create_in_ram(schema);
|
||||
@@ -47,13 +47,12 @@ mod tests {
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
#[test]
|
||||
fn test_multivalued_i64() {
|
||||
let mut schema_builder = SchemaBuilder::default();
|
||||
let field = schema_builder.add_i64_field(
|
||||
"multifield",
|
||||
IntOptions::default().set_fast(Cardinality::MultiValues)
|
||||
IntOptions::default().set_fast(Cardinality::MultiValues),
|
||||
);
|
||||
let schema = schema_builder.build();
|
||||
let index = Index::create_in_ram(schema);
|
||||
@@ -86,4 +85,4 @@ mod tests {
|
||||
assert_eq!(&vals, &[-5i64, -20i64, 1i64]);
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
@@ -1,7 +1,6 @@
|
||||
use DocId;
|
||||
use fastfield::{FastFieldReader, FastValue};
|
||||
|
||||
|
||||
/// Reader for a multivalued `u64` fast field.
|
||||
///
|
||||
/// The reader is implemented as two `u64` fast field.
|
||||
@@ -13,7 +12,7 @@ use fastfield::{FastFieldReader, FastValue};
|
||||
#[derive(Clone)]
|
||||
pub struct MultiValueIntFastFieldReader<Item: FastValue> {
|
||||
idx_reader: FastFieldReader<u64>,
|
||||
vals_reader: FastFieldReader<Item>
|
||||
vals_reader: FastFieldReader<Item>,
|
||||
}
|
||||
|
||||
impl<Item: FastValue> MultiValueIntFastFieldReader<Item> {
|
||||
@@ -23,17 +22,35 @@ impl<Item: FastValue> MultiValueIntFastFieldReader<Item> {
|
||||
) -> MultiValueIntFastFieldReader<Item> {
|
||||
MultiValueIntFastFieldReader {
|
||||
idx_reader,
|
||||
vals_reader
|
||||
vals_reader,
|
||||
}
|
||||
}
|
||||
|
||||
/// Returns `(start, stop)`, such that the values associated
|
||||
/// to the given document are `start..stop`.
|
||||
fn range(&self, doc: DocId) -> (u64, u64) {
|
||||
let start = self.idx_reader.get(doc);
|
||||
let stop = self.idx_reader.get(doc + 1);
|
||||
(start, stop)
|
||||
}
|
||||
|
||||
/// Returns the number of values associated to a given document.
|
||||
pub fn num_vals(&self, doc: DocId) -> usize {
|
||||
let (start, stop) = self.range(doc);
|
||||
(stop - start) as usize
|
||||
}
|
||||
|
||||
/// Returns the overall number of values associated to documents.
|
||||
pub(crate) fn total_num_vals(&self) -> u64 {
|
||||
self.idx_reader.max_value()
|
||||
}
|
||||
|
||||
/// Returns the array of values associated to the given `doc`.
|
||||
pub fn get_vals(&self, doc: DocId, vals: &mut Vec<Item>) {
|
||||
let start = self.idx_reader.get(doc) as u32;
|
||||
let stop = self.idx_reader.get(doc + 1) as u32;
|
||||
let (start, stop) = self.range(doc);
|
||||
let len = (stop - start) as usize;
|
||||
vals.resize(len, Item::default());
|
||||
self.vals_reader.get_range(start, &mut vals[..]);
|
||||
self.vals_reader.get_range(start as u32, &mut vals[..]);
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
@@ -6,13 +6,13 @@ use postings::UnorderedTermId;
|
||||
use schema::{Document, Field};
|
||||
use std::io;
|
||||
use itertools::Itertools;
|
||||
|
||||
use termdict::TermOrdinal;
|
||||
|
||||
pub struct MultiValueIntFastFieldWriter {
|
||||
field: Field,
|
||||
vals: Vec<u64>,
|
||||
doc_index: Vec<u64>,
|
||||
is_facet: bool
|
||||
is_facet: bool,
|
||||
}
|
||||
|
||||
impl MultiValueIntFastFieldWriter {
|
||||
@@ -22,7 +22,7 @@ impl MultiValueIntFastFieldWriter {
|
||||
field,
|
||||
vals: Vec::new(),
|
||||
doc_index: Vec::new(),
|
||||
is_facet
|
||||
is_facet,
|
||||
}
|
||||
}
|
||||
|
||||
@@ -51,7 +51,6 @@ impl MultiValueIntFastFieldWriter {
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
}
|
||||
|
||||
/// Serializes fast field values by pushing them to the `FastFieldSerializer`.
|
||||
@@ -68,7 +67,7 @@ impl MultiValueIntFastFieldWriter {
|
||||
pub fn serialize(
|
||||
&self,
|
||||
serializer: &mut FastFieldSerializer,
|
||||
mapping_opt: Option<&HashMap<UnorderedTermId, usize>>,
|
||||
mapping_opt: Option<&HashMap<UnorderedTermId, TermOrdinal>>,
|
||||
) -> io::Result<()> {
|
||||
{
|
||||
// writing the offset index
|
||||
@@ -85,16 +84,20 @@ impl MultiValueIntFastFieldWriter {
|
||||
let mut value_serializer: FastSingleFieldSerializer<_>;
|
||||
match mapping_opt {
|
||||
Some(mapping) => {
|
||||
value_serializer =
|
||||
serializer.new_u64_fast_field_with_idx(self.field, 0u64, mapping.len() as u64, 1)?;
|
||||
value_serializer = serializer.new_u64_fast_field_with_idx(
|
||||
self.field,
|
||||
0u64,
|
||||
mapping.len() as u64,
|
||||
1,
|
||||
)?;
|
||||
for val in &self.vals {
|
||||
let remapped_val = *mapping.get(val).expect("Missing term ordinal") as u64;
|
||||
let remapped_val = *mapping.get(val).expect("Missing term ordinal");
|
||||
value_serializer.add_val(remapped_val)?;
|
||||
}
|
||||
}
|
||||
None => {
|
||||
let val_min_max = self.vals.iter().cloned().minmax();
|
||||
let (val_min, val_max) = val_min_max.into_option().unwrap_or((0u64, 0));
|
||||
let (val_min, val_max) = val_min_max.into_option().unwrap_or((0u64, 0u64));
|
||||
value_serializer =
|
||||
serializer.new_u64_fast_field_with_idx(self.field, val_min, val_max, 1)?;
|
||||
for &val in &self.vals {
|
||||
|
||||
@@ -24,11 +24,10 @@ pub struct FastFieldReader<Item: FastValue> {
|
||||
bit_unpacker: BitUnpacker<OwningRef<ReadOnlySource, [u8]>>,
|
||||
min_value_u64: u64,
|
||||
max_value_u64: u64,
|
||||
_phantom: PhantomData<Item>
|
||||
_phantom: PhantomData<Item>,
|
||||
}
|
||||
|
||||
impl<Item: FastValue> FastFieldReader<Item> {
|
||||
|
||||
/// Opens a fast field given a source.
|
||||
pub fn open(data: ReadOnlySource) -> Self {
|
||||
let min_value: u64;
|
||||
@@ -48,11 +47,10 @@ impl<Item: FastValue> FastFieldReader<Item> {
|
||||
min_value_u64: min_value,
|
||||
max_value_u64: max_value,
|
||||
bit_unpacker,
|
||||
_phantom: PhantomData
|
||||
_phantom: PhantomData,
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
/// Return the value associated to the given document.
|
||||
///
|
||||
/// This accessor should return as fast as possible.
|
||||
@@ -73,7 +71,10 @@ impl<Item: FastValue> FastFieldReader<Item> {
|
||||
///
|
||||
/// May panic if `start + output.len()` is greater than
|
||||
/// the segment's `maxdoc`.
|
||||
pub fn get_range(&self, start: u32, output: &mut [Item]) {
|
||||
///
|
||||
// TODO change start to `u64`.
|
||||
// For multifastfield, start is an index in a second fastfield, not a `DocId`
|
||||
pub fn get_range(&self, start: u32, output: &mut [Item]) {
|
||||
let output_u64: &mut [u64] = unsafe { mem::transmute(output) };
|
||||
self.bit_unpacker.get_range(start, output_u64);
|
||||
for out in output_u64.iter_mut() {
|
||||
@@ -137,4 +138,3 @@ impl<Item: FastValue> From<Vec<Item>> for FastFieldReader<Item> {
|
||||
FastFieldReader::open(field_source)
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
@@ -36,9 +36,7 @@ impl FastFieldSerializer {
|
||||
pub fn from_write(write: WritePtr) -> io::Result<FastFieldSerializer> {
|
||||
// just making room for the pointer to header.
|
||||
let composite_write = CompositeWrite::wrap(write);
|
||||
Ok(FastFieldSerializer {
|
||||
composite_write
|
||||
})
|
||||
Ok(FastFieldSerializer { composite_write })
|
||||
}
|
||||
|
||||
/// Start serializing a new u64 fast field
|
||||
@@ -79,11 +77,21 @@ pub struct FastSingleFieldSerializer<'a, W: Write + 'a> {
|
||||
}
|
||||
|
||||
impl<'a, W: Write> FastSingleFieldSerializer<'a, W> {
|
||||
|
||||
/// Creates a new fast field serializer.
|
||||
///
|
||||
/// The serializer in fact encode the values by bitpacking
|
||||
/// `(val - min_value)`.
|
||||
///
|
||||
/// It requires a `min_value` and a `max_value` to compute
|
||||
/// compute the minimum number of bits required to encode
|
||||
/// values.
|
||||
fn open(
|
||||
write: &'a mut W,
|
||||
min_value: u64,
|
||||
max_value: u64,
|
||||
) -> io::Result<FastSingleFieldSerializer<'a, W>> {
|
||||
assert!(min_value <= max_value);
|
||||
min_value.serialize(write)?;
|
||||
let amplitude = max_value - min_value;
|
||||
amplitude.serialize(write)?;
|
||||
|
||||
@@ -9,6 +9,7 @@ use std::collections::HashMap;
|
||||
use postings::UnorderedTermId;
|
||||
use super::multivalued::MultiValueIntFastFieldWriter;
|
||||
use common::BinarySerializable;
|
||||
use termdict::TermOrdinal;
|
||||
|
||||
/// The fastfieldswriter regroup all of the fast field writers.
|
||||
pub struct FastFieldsWriter {
|
||||
@@ -53,7 +54,7 @@ impl FastFieldsWriter {
|
||||
}
|
||||
FastFieldsWriter {
|
||||
single_value_writers,
|
||||
multi_values_writers
|
||||
multi_values_writers,
|
||||
}
|
||||
}
|
||||
|
||||
@@ -105,7 +106,7 @@ impl FastFieldsWriter {
|
||||
pub fn serialize(
|
||||
&self,
|
||||
serializer: &mut FastFieldSerializer,
|
||||
mapping: &HashMap<Field, HashMap<UnorderedTermId, usize>>,
|
||||
mapping: &HashMap<Field, HashMap<UnorderedTermId, TermOrdinal>>,
|
||||
) -> io::Result<()> {
|
||||
for field_writer in &self.single_value_writers {
|
||||
field_writer.serialize(serializer)?;
|
||||
|
||||
@@ -200,7 +200,6 @@ pub fn advance_deletes(
|
||||
target_opstamp: u64,
|
||||
) -> Result<Option<FileProtection>> {
|
||||
let mut file_protect: Option<FileProtection> = None;
|
||||
|
||||
{
|
||||
if let Some(previous_opstamp) = segment_entry.meta().delete_opstamp() {
|
||||
// We are already up-to-date here.
|
||||
@@ -241,7 +240,6 @@ pub fn advance_deletes(
|
||||
}
|
||||
}
|
||||
segment_entry.set_meta(segment.meta().clone());
|
||||
|
||||
Ok(file_protect)
|
||||
}
|
||||
|
||||
|
||||
@@ -14,9 +14,14 @@ use termdict::TermMerger;
|
||||
use fastfield::FastFieldSerializer;
|
||||
use fastfield::FastFieldReader;
|
||||
use store::StoreWriter;
|
||||
use std::cmp::{max, min};
|
||||
use termdict::TermDictionary;
|
||||
use termdict::TermStreamer;
|
||||
use schema::FieldType;
|
||||
use termdict::TermOrdinal;
|
||||
use schema::Cardinality;
|
||||
use std::collections::HashMap;
|
||||
use fastfield::MultiValueIntFastFieldReader;
|
||||
use std::cmp;
|
||||
|
||||
pub struct IndexMerger {
|
||||
schema: Schema,
|
||||
@@ -60,6 +65,43 @@ fn extract_fast_field_reader(
|
||||
segment_reader.fast_field_reader(field).ok()
|
||||
}
|
||||
|
||||
|
||||
struct TermOrdinalMapping {
|
||||
per_segment_new_term_ordinals: Vec<Vec<TermOrdinal>>
|
||||
}
|
||||
|
||||
impl TermOrdinalMapping {
|
||||
fn new(max_term_ords: Vec<TermOrdinal>) -> TermOrdinalMapping {
|
||||
TermOrdinalMapping {
|
||||
per_segment_new_term_ordinals: max_term_ords
|
||||
.into_iter()
|
||||
.map(|max_term_ord| vec![TermOrdinal::default(); max_term_ord as usize])
|
||||
.collect()
|
||||
}
|
||||
}
|
||||
|
||||
fn register_from_to(&mut self,
|
||||
segment_ord: usize,
|
||||
from_ord: TermOrdinal,
|
||||
to_ord: TermOrdinal) {
|
||||
self.per_segment_new_term_ordinals[segment_ord][from_ord as usize] = to_ord;
|
||||
}
|
||||
|
||||
fn get_segment(&self, segment_ord: usize) -> &[TermOrdinal] {
|
||||
&(self.per_segment_new_term_ordinals[segment_ord])[..]
|
||||
}
|
||||
|
||||
fn max_term_ord(&self) -> TermOrdinal {
|
||||
self.per_segment_new_term_ordinals
|
||||
.iter()
|
||||
.flat_map(|term_ordinals| {
|
||||
term_ordinals.iter().cloned().max()
|
||||
})
|
||||
.max()
|
||||
.unwrap_or(TermOrdinal::default())
|
||||
}
|
||||
}
|
||||
|
||||
struct DeltaComputer {
|
||||
buffer: Vec<u32>,
|
||||
}
|
||||
@@ -103,204 +145,384 @@ impl IndexMerger {
|
||||
}
|
||||
|
||||
fn write_fieldnorms(&self, fast_field_serializer: &mut FastFieldSerializer) -> Result<()> {
|
||||
let fieldnorm_fastfields: Vec<Field> = self.schema
|
||||
.fields()
|
||||
.iter()
|
||||
.enumerate()
|
||||
.filter(|&(_, field_entry)| field_entry.is_indexed())
|
||||
.map(|(field_id, _)| Field(field_id as u32))
|
||||
.collect();
|
||||
self.generic_write_fast_field(
|
||||
fieldnorm_fastfields,
|
||||
&extract_fieldnorm_reader,
|
||||
fast_field_serializer,
|
||||
)
|
||||
}
|
||||
|
||||
fn write_fast_fields(&self, fast_field_serializer: &mut FastFieldSerializer) -> Result<()> {
|
||||
let fast_fields: Vec<Field> = self.schema
|
||||
.fields()
|
||||
.iter()
|
||||
.enumerate()
|
||||
.filter(|&(_, field_entry)| field_entry.is_int_fast())
|
||||
.map(|(field_id, _)| Field(field_id as u32))
|
||||
.collect();
|
||||
self.generic_write_fast_field(
|
||||
fast_fields,
|
||||
&extract_fast_field_reader,
|
||||
fast_field_serializer,
|
||||
)
|
||||
}
|
||||
|
||||
// used both to merge field norms and regular u64 fast fields.
|
||||
fn generic_write_fast_field(
|
||||
&self,
|
||||
fields: Vec<Field>,
|
||||
field_reader_extractor: &Fn(&SegmentReader, Field) -> Option<FastFieldReader<u64>>,
|
||||
fast_field_serializer: &mut FastFieldSerializer,
|
||||
) -> Result<()> {
|
||||
for field in fields {
|
||||
let mut u64_readers = vec![];
|
||||
let mut min_val = u64::max_value();
|
||||
let mut max_val = u64::min_value();
|
||||
|
||||
for reader in &self.readers {
|
||||
match field_reader_extractor(reader, field) {
|
||||
Some(u64_reader) => {
|
||||
if let Some((seg_min_val, seg_max_val)) = compute_min_max_val(
|
||||
&u64_reader,
|
||||
reader.max_doc(),
|
||||
reader.delete_bitset(),
|
||||
) {
|
||||
// the segment has some non-deleted documents
|
||||
min_val = min(min_val, seg_min_val);
|
||||
max_val = max(max_val, seg_max_val);
|
||||
u64_readers.push((
|
||||
reader.max_doc(),
|
||||
u64_reader,
|
||||
reader.delete_bitset(),
|
||||
));
|
||||
}
|
||||
}
|
||||
None => {
|
||||
let error_msg =
|
||||
format!("Failed to find a u64_reader for field {:?}", field);
|
||||
error!("{}", error_msg);
|
||||
bail!(ErrorKind::SchemaError(error_msg));
|
||||
}
|
||||
for (field_id, field_entry) in self.schema.fields().iter().enumerate() {
|
||||
let field = Field(field_id as u32);
|
||||
if let FieldType::Str(ref text_options) = *field_entry.field_type() {
|
||||
if text_options.get_indexing_options().is_some() {
|
||||
self.write_single_fast_field(
|
||||
field,
|
||||
&extract_fieldnorm_reader,
|
||||
fast_field_serializer,
|
||||
)?;
|
||||
}
|
||||
}
|
||||
|
||||
if u64_readers.is_empty() {
|
||||
// we have actually zero documents.
|
||||
min_val = 0;
|
||||
max_val = 0;
|
||||
}
|
||||
|
||||
assert!(min_val <= max_val);
|
||||
|
||||
let mut fast_single_field_serializer =
|
||||
fast_field_serializer.new_u64_fast_field(field, min_val, max_val)?;
|
||||
for (max_doc, u64_reader, delete_bitset) in u64_readers {
|
||||
for doc_id in 0..max_doc {
|
||||
if !delete_bitset.is_deleted(doc_id) {
|
||||
let val = u64_reader.get(doc_id);
|
||||
fast_single_field_serializer.add_val(val)?;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
fast_single_field_serializer.close_field()?;
|
||||
}
|
||||
Ok(())
|
||||
}
|
||||
|
||||
fn write_postings(&self, serializer: &mut InvertedIndexSerializer) -> Result<()> {
|
||||
let mut delta_computer = DeltaComputer::new();
|
||||
fn write_fast_fields(&self,
|
||||
fast_field_serializer: &mut FastFieldSerializer,
|
||||
mut term_ord_mappings: HashMap<Field, TermOrdinalMapping>) -> Result<()> {
|
||||
for (field_id, field_entry) in self.schema.fields().iter().enumerate() {
|
||||
let field = Field(field_id as u32);
|
||||
let field_type = field_entry.field_type();
|
||||
match *field_type {
|
||||
FieldType::HierarchicalFacet => {
|
||||
let term_ordinal_mapping = term_ord_mappings
|
||||
.remove(&field)
|
||||
.expect("Logic Error in Tantivy (Please report). HierarchicalFact field should have required a\
|
||||
`term_ordinal_mapping`.");
|
||||
self.write_hierarchical_facet_field(
|
||||
field,
|
||||
term_ordinal_mapping,
|
||||
fast_field_serializer)?;
|
||||
}
|
||||
FieldType::U64(ref options) | FieldType::I64(ref options) => {
|
||||
match options.get_fastfield_cardinality() {
|
||||
Some(Cardinality::SingleValue) => {
|
||||
self.write_single_fast_field(
|
||||
field,
|
||||
&extract_fast_field_reader,
|
||||
fast_field_serializer
|
||||
)?;
|
||||
}
|
||||
Some(Cardinality::MultiValues) => {
|
||||
self.write_multi_fast_field(field, fast_field_serializer)?;
|
||||
}
|
||||
None => {}
|
||||
}
|
||||
}
|
||||
FieldType::Str(_) => {
|
||||
// We don't handle str fast field for the moment
|
||||
// They can be implemented using what is done
|
||||
// for facets in the future.
|
||||
}
|
||||
}
|
||||
}
|
||||
Ok(())
|
||||
}
|
||||
|
||||
let mut indexed_fields = vec![];
|
||||
for (field_ord, field_entry) in self.schema.fields().iter().enumerate() {
|
||||
if field_entry.is_indexed() {
|
||||
indexed_fields.push(Field(field_ord as u32));
|
||||
|
||||
// used both to merge field norms, `u64/i64` single fast fields.
|
||||
fn write_single_fast_field(
|
||||
&self,
|
||||
field: Field,
|
||||
field_reader_extractor: &Fn(&SegmentReader, Field) -> Option<FastFieldReader<u64>>,
|
||||
fast_field_serializer: &mut FastFieldSerializer,
|
||||
) -> Result<()> {
|
||||
|
||||
let mut u64_readers = vec![];
|
||||
let mut min_value = u64::max_value();
|
||||
let mut max_value = u64::min_value();
|
||||
|
||||
for reader in &self.readers {
|
||||
match field_reader_extractor(reader, field) {
|
||||
Some(u64_reader) => {
|
||||
if let Some((seg_min_val, seg_max_val)) = compute_min_max_val(
|
||||
&u64_reader,
|
||||
reader.max_doc(),
|
||||
reader.delete_bitset(),
|
||||
) {
|
||||
// the segment has some non-deleted documents
|
||||
min_value = cmp::min(min_value, seg_min_val);
|
||||
max_value = cmp::max(max_value, seg_max_val);
|
||||
u64_readers.push((
|
||||
reader.max_doc(),
|
||||
u64_reader,
|
||||
reader.delete_bitset(),
|
||||
));
|
||||
} else {
|
||||
// all documents have been deleted.
|
||||
}
|
||||
}
|
||||
None => {
|
||||
let error_msg =
|
||||
format!("Failed to find a u64_reader for field {:?}", field);
|
||||
bail!(ErrorKind::SchemaError(error_msg));
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
if min_value > max_value {
|
||||
// There is not a single document remaining in the index.
|
||||
min_value = 0;
|
||||
max_value = 0;
|
||||
}
|
||||
|
||||
let mut fast_single_field_serializer =
|
||||
fast_field_serializer.new_u64_fast_field(field, min_value, max_value)?;
|
||||
for (max_doc, u64_reader, delete_bitset) in u64_readers {
|
||||
for doc_id in 0u32..max_doc {
|
||||
if !delete_bitset.is_deleted(doc_id) {
|
||||
let val = u64_reader.get(doc_id);
|
||||
fast_single_field_serializer.add_val(val)?;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
for indexed_field in indexed_fields {
|
||||
let field_readers = self.readers
|
||||
.iter()
|
||||
.map(|reader| reader.inverted_index(indexed_field))
|
||||
.collect::<Vec<_>>();
|
||||
fast_single_field_serializer.close_field()?;
|
||||
Ok(())
|
||||
}
|
||||
|
||||
let field_term_streams = field_readers
|
||||
.iter()
|
||||
.map(|field_reader| field_reader.terms().stream())
|
||||
.collect();
|
||||
fn write_multi_fast_field_idx(&self,
|
||||
field: Field,
|
||||
fast_field_serializer: &mut FastFieldSerializer) -> Result<()> {
|
||||
let mut total_num_vals = 0u64;
|
||||
|
||||
let mut merged_terms = TermMerger::new(field_term_streams);
|
||||
let mut max_doc = 0;
|
||||
|
||||
// map from segment doc ids to the resulting merged segment doc id.
|
||||
let mut merged_doc_id_map: Vec<Vec<Option<DocId>>> =
|
||||
Vec::with_capacity(self.readers.len());
|
||||
|
||||
for reader in &self.readers {
|
||||
let mut segment_local_map = Vec::with_capacity(reader.max_doc() as usize);
|
||||
for doc_id in 0..reader.max_doc() {
|
||||
if reader.is_deleted(doc_id) {
|
||||
segment_local_map.push(None);
|
||||
} else {
|
||||
segment_local_map.push(Some(max_doc));
|
||||
max_doc += 1u32;
|
||||
// In the first pass, we compute the total number of vals.
|
||||
//
|
||||
// This is required by the bitpacker, as it needs to know
|
||||
// what should be the bit length use for bitpacking.
|
||||
for reader in &self.readers {
|
||||
let multi_ff_reader = reader.multi_fast_field_reader::<u64>(field)?;
|
||||
let delete_bitset = reader.delete_bitset();
|
||||
if delete_bitset.has_deletes() {
|
||||
for doc in 0u32..reader.max_doc() {
|
||||
if !delete_bitset.is_deleted(doc) {
|
||||
total_num_vals += multi_ff_reader.num_vals(doc) as u64;
|
||||
}
|
||||
}
|
||||
merged_doc_id_map.push(segment_local_map);
|
||||
} else {
|
||||
total_num_vals += multi_ff_reader.total_num_vals();
|
||||
}
|
||||
}
|
||||
|
||||
// Create the total list of doc ids
|
||||
// by stacking the doc ids from the different segment.
|
||||
//
|
||||
// In the new segments, the doc id from the different
|
||||
// segment are stacked so that :
|
||||
// - Segment 0's doc ids become doc id [0, seg.max_doc]
|
||||
// - Segment 1's doc ids become [seg0.max_doc, seg0.max_doc + seg.max_doc]
|
||||
// - Segment 2's doc ids become [seg0.max_doc + seg1.max_doc,
|
||||
// seg0.max_doc + seg1.max_doc + seg2.max_doc]
|
||||
// ...
|
||||
// We can now create our `idx` serializer, and in a second pass,
|
||||
// can effectively push the different indexes.
|
||||
let mut serialize_idx = fast_field_serializer.new_u64_fast_field_with_idx(field, 0, total_num_vals, 0)?;
|
||||
let mut idx = 0;
|
||||
for reader in &self.readers {
|
||||
let multi_ff_reader = reader.multi_fast_field_reader::<u64>(field)?;
|
||||
let delete_bitset = reader.delete_bitset();
|
||||
for doc in 0u32..reader.max_doc() {
|
||||
if !delete_bitset.is_deleted(doc) {
|
||||
serialize_idx.add_val(idx)?;
|
||||
idx += multi_ff_reader.num_vals(doc) as u64;
|
||||
}
|
||||
}
|
||||
}
|
||||
serialize_idx.add_val(idx)?;
|
||||
serialize_idx.close_field()?;
|
||||
Ok(())
|
||||
}
|
||||
|
||||
let mut field_serializer = serializer.new_field(indexed_field)?;
|
||||
fn write_hierarchical_facet_field(&self,
|
||||
field: Field,
|
||||
term_ordinal_mappings: TermOrdinalMapping,
|
||||
fast_field_serializer: &mut FastFieldSerializer) -> Result<()> {
|
||||
|
||||
let field_entry = self.schema.get_field_entry(indexed_field);
|
||||
// Multifastfield consists in 2 fastfields.
|
||||
// The first serves as an index into the second one and is stricly increasing.
|
||||
// The second contains the actual values.
|
||||
|
||||
// ... set segment postings option the new field.
|
||||
let segment_postings_option =
|
||||
field_entry.field_type().get_index_record_option().expect(
|
||||
"Encountered a field that is not supposed to be
|
||||
indexed. Have you modified the schema?",
|
||||
);
|
||||
// First we merge the idx fast field.
|
||||
self.write_multi_fast_field_idx(field, fast_field_serializer)?;
|
||||
|
||||
while merged_terms.advance() {
|
||||
let term_bytes: &[u8] = merged_terms.key();
|
||||
|
||||
// Let's compute the list of non-empty posting lists
|
||||
let segment_postings: Vec<_> = merged_terms
|
||||
.current_kvs()
|
||||
.iter()
|
||||
.flat_map(|heap_item| {
|
||||
let segment_ord = heap_item.segment_ord;
|
||||
let term_info = heap_item.streamer.value();
|
||||
let segment_reader = &self.readers[heap_item.segment_ord];
|
||||
let inverted_index = segment_reader.inverted_index(indexed_field);
|
||||
let mut segment_postings = inverted_index
|
||||
.read_postings_from_terminfo(term_info, segment_postings_option);
|
||||
if segment_postings.advance() {
|
||||
Some((segment_ord, segment_postings))
|
||||
} else {
|
||||
None
|
||||
// We can now write the actual fast field values.
|
||||
// In the case of hierarchical facets, they are actually term ordinals.
|
||||
let max_term_ord = term_ordinal_mappings.max_term_ord();
|
||||
{
|
||||
let mut serialize_vals = fast_field_serializer.new_u64_fast_field_with_idx(field, 0u64, max_term_ord, 1)?;
|
||||
let mut vals = Vec::with_capacity(100);
|
||||
for (segment_ord, segment_reader) in self.readers.iter().enumerate() {
|
||||
let delete_bitset = segment_reader.delete_bitset();
|
||||
let term_ordinal_mapping: &[TermOrdinal] = term_ordinal_mappings.get_segment(segment_ord);
|
||||
let ff_reader: MultiValueIntFastFieldReader<u64> = segment_reader.multi_fast_field_reader(field)?;
|
||||
// TODO optimize if no deletes
|
||||
for doc in 0..segment_reader.max_doc() {
|
||||
if !delete_bitset.is_deleted(doc) {
|
||||
ff_reader.get_vals(doc, &mut vals);
|
||||
for &prev_term_ord in &vals {
|
||||
let new_term_ord = term_ordinal_mapping[prev_term_ord as usize];
|
||||
serialize_vals.add_val(new_term_ord)?;
|
||||
}
|
||||
})
|
||||
.collect();
|
||||
}
|
||||
}
|
||||
}
|
||||
serialize_vals.close_field()?;
|
||||
}
|
||||
Ok(())
|
||||
}
|
||||
|
||||
// At this point, `segment_postings` contains the posting list
|
||||
// of all of the segments containing the given term.
|
||||
//
|
||||
// These segments are non-empty and advance has already been called.
|
||||
fn write_multi_fast_field(&self, field: Field, fast_field_serializer: &mut FastFieldSerializer) -> Result<()> {
|
||||
|
||||
if !segment_postings.is_empty() {
|
||||
// If not, the `term` will be entirely removed.
|
||||
// Multifastfield consists in 2 fastfields.
|
||||
// The first serves as an index into the second one and is stricly increasing.
|
||||
// The second contains the actual values.
|
||||
|
||||
// We know that there is at least one document containing
|
||||
// the term, so we add it.
|
||||
field_serializer.new_term(term_bytes)?;
|
||||
// First we merge the idx fast field.
|
||||
self.write_multi_fast_field_idx(field, fast_field_serializer)?;
|
||||
|
||||
// We can now serialize this postings, by pushing each document to the
|
||||
// postings serializer.
|
||||
for (segment_ord, mut segment_postings) in segment_postings {
|
||||
let old_to_new_doc_id = &merged_doc_id_map[segment_ord];
|
||||
loop {
|
||||
// `.advance()` has been called once before the loop.
|
||||
// Hence we cannot use a `while segment_postings.advance()` loop.
|
||||
if let Some(remapped_doc_id) =
|
||||
old_to_new_doc_id[segment_postings.doc() as usize]
|
||||
let mut min_value = u64::max_value();
|
||||
let mut max_value = u64::min_value();
|
||||
|
||||
let mut vals = Vec::with_capacity(100);
|
||||
|
||||
|
||||
// Our values are bitpacked and we need to know what should be
|
||||
// our bitwidth and our minimum value before serializing any values.
|
||||
//
|
||||
// Computing those is non-trivial if some documents are deleted.
|
||||
// We go through a complete first pass to compute the minimum and the
|
||||
// maximum value and initialize our Serializer.
|
||||
for reader in &self.readers {
|
||||
let ff_reader: MultiValueIntFastFieldReader<u64> = reader.multi_fast_field_reader(field)?;
|
||||
let delete_bitset = reader.delete_bitset();
|
||||
for doc in 0u32..reader.max_doc() {
|
||||
if !delete_bitset.is_deleted(doc) {
|
||||
ff_reader.get_vals(doc, &mut vals);
|
||||
for &val in &vals {
|
||||
min_value = cmp::min(val, min_value);
|
||||
max_value = cmp::max(val, max_value);
|
||||
}
|
||||
}
|
||||
}
|
||||
// TODO optimize when no deletes
|
||||
}
|
||||
|
||||
if min_value > max_value {
|
||||
min_value = 0;
|
||||
max_value = 0;
|
||||
}
|
||||
|
||||
// We can now initialize our serializer, and push it the different values
|
||||
{
|
||||
let mut serialize_vals = fast_field_serializer.new_u64_fast_field_with_idx(field, min_value, max_value, 1)?;
|
||||
for reader in &self.readers {
|
||||
let delete_bitset = reader.delete_bitset();
|
||||
let ff_reader: MultiValueIntFastFieldReader<u64> = reader.multi_fast_field_reader(field)?;
|
||||
// TODO optimize if no deletes
|
||||
for doc in 0..reader.max_doc() {
|
||||
if !delete_bitset.is_deleted(doc) {
|
||||
ff_reader.get_vals(doc, &mut vals);
|
||||
for &val in &vals {
|
||||
serialize_vals.add_val(val)?;
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
serialize_vals.close_field()?;
|
||||
}
|
||||
Ok(())
|
||||
}
|
||||
|
||||
fn write_postings_for_field(&self,
|
||||
indexed_field: Field,
|
||||
field_type: &FieldType,
|
||||
serializer: &mut InvertedIndexSerializer) -> Result<Option<TermOrdinalMapping>> {
|
||||
let mut delta_computer= DeltaComputer::new();
|
||||
let field_readers = self.readers
|
||||
.iter()
|
||||
.map(|reader| reader.inverted_index(indexed_field))
|
||||
.collect::<Vec<_>>();
|
||||
|
||||
let mut field_term_streams = Vec::new();
|
||||
let mut max_term_ords: Vec<TermOrdinal> = Vec::new();
|
||||
|
||||
for field_reader in &field_readers {
|
||||
let terms = field_reader.terms();
|
||||
field_term_streams.push(terms.stream());
|
||||
max_term_ords.push(terms.num_terms() as u64);
|
||||
}
|
||||
|
||||
let mut term_ord_mapping_opt =
|
||||
if *field_type == FieldType::HierarchicalFacet {
|
||||
Some(TermOrdinalMapping::new(max_term_ords))
|
||||
} else {
|
||||
None
|
||||
};
|
||||
|
||||
|
||||
let mut merged_terms = TermMerger::new(field_term_streams);
|
||||
let mut max_doc = 0;
|
||||
|
||||
// map from segment doc ids to the resulting merged segment doc id.
|
||||
let mut merged_doc_id_map: Vec<Vec<Option<DocId>>> =
|
||||
Vec::with_capacity(self.readers.len());
|
||||
|
||||
for reader in &self.readers {
|
||||
let mut segment_local_map = Vec::with_capacity(reader.max_doc() as usize);
|
||||
for doc_id in 0..reader.max_doc() {
|
||||
if reader.is_deleted(doc_id) {
|
||||
segment_local_map.push(None);
|
||||
} else {
|
||||
segment_local_map.push(Some(max_doc));
|
||||
max_doc += 1u32;
|
||||
}
|
||||
}
|
||||
merged_doc_id_map.push(segment_local_map);
|
||||
}
|
||||
|
||||
// Create the total list of doc ids
|
||||
// by stacking the doc ids from the different segment.
|
||||
//
|
||||
// In the new segments, the doc id from the different
|
||||
// segment are stacked so that :
|
||||
// - Segment 0's doc ids become doc id [0, seg.max_doc]
|
||||
// - Segment 1's doc ids become [seg0.max_doc, seg0.max_doc + seg.max_doc]
|
||||
// - Segment 2's doc ids become [seg0.max_doc + seg1.max_doc,
|
||||
// seg0.max_doc + seg1.max_doc + seg2.max_doc]
|
||||
// ...
|
||||
let mut field_serializer = serializer.new_field(indexed_field)?;
|
||||
|
||||
let field_entry = self.schema.get_field_entry(indexed_field);
|
||||
|
||||
// ... set segment postings option the new field.
|
||||
let segment_postings_option =
|
||||
field_entry.field_type().get_index_record_option().expect(
|
||||
"Encountered a field that is not supposed to be
|
||||
indexed. Have you modified the schema?",
|
||||
);
|
||||
|
||||
while merged_terms.advance() {
|
||||
let term_bytes: &[u8] = merged_terms.key();
|
||||
|
||||
// Let's compute the list of non-empty posting lists
|
||||
let segment_postings: Vec<_> = merged_terms
|
||||
.current_kvs()
|
||||
.iter()
|
||||
.flat_map(|heap_item| {
|
||||
let segment_ord = heap_item.segment_ord;
|
||||
let term_info = heap_item.streamer.value();
|
||||
let segment_reader = &self.readers[heap_item.segment_ord];
|
||||
let inverted_index = segment_reader.inverted_index(indexed_field);
|
||||
let mut segment_postings = inverted_index
|
||||
.read_postings_from_terminfo(term_info, segment_postings_option);
|
||||
if segment_postings.advance() {
|
||||
Some((segment_ord, segment_postings))
|
||||
} else {
|
||||
None
|
||||
}
|
||||
})
|
||||
.collect();
|
||||
|
||||
// At this point, `segment_postings` contains the posting list
|
||||
// of all of the segments containing the given term.
|
||||
//
|
||||
// These segments are non-empty and advance has already been called.
|
||||
|
||||
if !segment_postings.is_empty() {
|
||||
// If not, the `term` will be entirely removed.
|
||||
|
||||
// We know that there is at least one document containing
|
||||
// the term, so we add it.
|
||||
let to_term_ord = field_serializer.new_term(term_bytes)?;
|
||||
|
||||
if let Some(ref mut term_ord_mapping) = term_ord_mapping_opt {
|
||||
for (segment_ord, from_term_ord) in merged_terms.matching_segments() {
|
||||
term_ord_mapping.register_from_to(segment_ord,from_term_ord, to_term_ord);
|
||||
}
|
||||
}
|
||||
|
||||
// We can now serialize this postings, by pushing each document to the
|
||||
// postings serializer.
|
||||
for (segment_ord, mut segment_postings) in segment_postings {
|
||||
let old_to_new_doc_id = &merged_doc_id_map[segment_ord];
|
||||
loop {
|
||||
// `.advance()` has been called once before the loop.
|
||||
// Hence we cannot use a `while segment_postings.advance()` loop.
|
||||
if let Some(remapped_doc_id) =
|
||||
old_to_new_doc_id[segment_postings.doc() as usize]
|
||||
{
|
||||
// we make sure to only write the term iff
|
||||
// there is at least one document.
|
||||
@@ -313,20 +535,31 @@ impl IndexMerger {
|
||||
delta_positions,
|
||||
)?;
|
||||
}
|
||||
if !segment_postings.advance() {
|
||||
break;
|
||||
}
|
||||
if !segment_postings.advance() {
|
||||
break;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// closing the term.
|
||||
field_serializer.close_term()?;
|
||||
// closing the term.
|
||||
field_serializer.close_term()?;
|
||||
}
|
||||
}
|
||||
field_serializer.close()?;
|
||||
Ok(term_ord_mapping_opt)
|
||||
}
|
||||
|
||||
fn write_postings(&self, serializer: &mut InvertedIndexSerializer) -> Result<HashMap<Field, TermOrdinalMapping>> {
|
||||
let mut term_ordinal_mappings = HashMap::new();
|
||||
for (field_ord, field_entry) in self.schema.fields().iter().enumerate() {
|
||||
if field_entry.is_indexed() {
|
||||
let indexed_field = Field(field_ord as u32);
|
||||
if let Some(term_ordinal_mapping) = self.write_postings_for_field(indexed_field, field_entry.field_type(), serializer)? {
|
||||
term_ordinal_mappings.insert(indexed_field, term_ordinal_mapping);
|
||||
}
|
||||
}
|
||||
|
||||
field_serializer.close()?;
|
||||
}
|
||||
Ok(())
|
||||
Ok(term_ordinal_mappings)
|
||||
}
|
||||
|
||||
fn write_storable_fields(&self, store_writer: &mut StoreWriter) -> Result<()> {
|
||||
@@ -349,9 +582,9 @@ impl IndexMerger {
|
||||
|
||||
impl SerializableSegment for IndexMerger {
|
||||
fn write(&self, mut serializer: SegmentSerializer) -> Result<u32> {
|
||||
self.write_postings(serializer.get_postings_serializer())?;
|
||||
let term_ord_mappings = self.write_postings(serializer.get_postings_serializer())?;
|
||||
self.write_fieldnorms(serializer.get_fieldnorms_serializer())?;
|
||||
self.write_fast_fields(serializer.get_fast_field_serializer())?;
|
||||
self.write_fast_fields(serializer.get_fast_field_serializer(), term_ord_mappings)?;
|
||||
self.write_storable_fields(serializer.get_store_writer())?;
|
||||
serializer.close()?;
|
||||
Ok(self.max_doc)
|
||||
@@ -375,6 +608,10 @@ mod tests {
|
||||
use schema::IndexRecordOption;
|
||||
use schema::Cardinality;
|
||||
use futures::Future;
|
||||
use IndexWriter;
|
||||
use query::AllQuery;
|
||||
use collector::FacetCollector;
|
||||
use schema::IntOptions;
|
||||
|
||||
#[test]
|
||||
fn test_index_merger_no_deletes() {
|
||||
@@ -805,4 +1042,297 @@ mod tests {
|
||||
assert_eq!(searcher.num_docs(), 0);
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
#[test]
|
||||
fn test_merge_facets() {
|
||||
let mut schema_builder = schema::SchemaBuilder::default();
|
||||
let facet_field = schema_builder.add_facet_field("facet");
|
||||
let index = Index::create_in_ram(schema_builder.build());
|
||||
use schema::Facet;
|
||||
{
|
||||
let mut index_writer = index.writer_with_num_threads(1, 40_000_000).unwrap();
|
||||
let index_doc = |index_writer: &mut IndexWriter, doc_facets: &[&str]| {
|
||||
let mut doc = Document::default();
|
||||
for facet in doc_facets {
|
||||
doc.add_facet(facet_field, Facet::from(facet));
|
||||
}
|
||||
index_writer.add_document(doc);
|
||||
};
|
||||
|
||||
index_doc(&mut index_writer, &["/top/a/firstdoc", "/top/b"]);
|
||||
index_doc(&mut index_writer, &["/top/a/firstdoc", "/top/b", "/top/c"]);
|
||||
index_doc(&mut index_writer, &["/top/a", "/top/b"]);
|
||||
index_doc(&mut index_writer, &["/top/a"]);
|
||||
|
||||
index_doc(&mut index_writer, &["/top/b", "/top/d"]);
|
||||
index_doc(&mut index_writer, &["/top/d"]);
|
||||
index_doc(&mut index_writer, &["/top/e"]);
|
||||
index_writer.commit().expect("committed");
|
||||
|
||||
index_doc(&mut index_writer, &["/top/a"]);
|
||||
index_doc(&mut index_writer, &["/top/b"]);
|
||||
index_doc(&mut index_writer, &["/top/c"]);
|
||||
index_writer.commit().expect("committed");
|
||||
|
||||
index_doc(&mut index_writer, &["/top/e", "/top/f"]);
|
||||
index_writer.commit().expect("committed");
|
||||
}
|
||||
index.load_searchers().unwrap();
|
||||
let test_searcher = |expected_num_docs: usize, expected: &[(&str, u64)]| {
|
||||
let searcher = index.searcher();
|
||||
let mut facet_collector = FacetCollector::for_field(facet_field);
|
||||
facet_collector.add_facet(Facet::from("/top"));
|
||||
use collector::{MultiCollector, CountCollector};
|
||||
let mut count_collector = CountCollector::default();
|
||||
{
|
||||
let mut multi_collectors = MultiCollector::from(vec![&mut count_collector, &mut facet_collector]);
|
||||
searcher.search(&AllQuery, &mut multi_collectors).unwrap();
|
||||
}
|
||||
assert_eq!(count_collector.count(), expected_num_docs);
|
||||
let facet_counts = facet_collector.harvest();
|
||||
let facets: Vec<(String, u64)> = facet_counts.get("/top")
|
||||
.map(|(facet, count)| (facet.to_string(), count))
|
||||
.collect();
|
||||
assert_eq!(
|
||||
facets,
|
||||
expected
|
||||
.iter()
|
||||
.map(|&(facet_str, count)| (String::from(facet_str), count))
|
||||
.collect::<Vec<_>>()
|
||||
);
|
||||
};
|
||||
test_searcher(11, &[
|
||||
("/top/a", 5),
|
||||
("/top/b", 5),
|
||||
("/top/c", 2),
|
||||
("/top/d", 2),
|
||||
("/top/e", 2),
|
||||
("/top/f", 1)
|
||||
]);
|
||||
|
||||
// Merging the segments
|
||||
{
|
||||
let segment_ids = index
|
||||
.searchable_segment_ids()
|
||||
.expect("Searchable segments failed.");
|
||||
let mut index_writer = index.writer_with_num_threads(1, 40_000_000).unwrap();
|
||||
index_writer
|
||||
.merge(&segment_ids)
|
||||
.wait()
|
||||
.expect("Merging failed");
|
||||
index_writer.wait_merging_threads().unwrap();
|
||||
|
||||
index.load_searchers().unwrap();
|
||||
test_searcher(11, &[
|
||||
("/top/a", 5),
|
||||
("/top/b", 5),
|
||||
("/top/c", 2),
|
||||
("/top/d", 2),
|
||||
("/top/e", 2),
|
||||
("/top/f", 1)
|
||||
]);
|
||||
}
|
||||
|
||||
// Deleting one term
|
||||
{
|
||||
let mut index_writer = index.writer_with_num_threads(1, 40_000_000).unwrap();
|
||||
let facet = Facet::from_path(vec!["top", "a", "firstdoc"]);
|
||||
let facet_term = Term::from_facet(facet_field, &facet);
|
||||
index_writer.delete_term(facet_term);
|
||||
index_writer.commit().unwrap();
|
||||
index.load_searchers().unwrap();
|
||||
test_searcher(9, &[
|
||||
("/top/a", 3),
|
||||
("/top/b", 3),
|
||||
("/top/c", 1),
|
||||
("/top/d", 2),
|
||||
("/top/e", 2),
|
||||
("/top/f", 1)
|
||||
]);
|
||||
}
|
||||
|
||||
}
|
||||
|
||||
|
||||
#[test]
|
||||
fn test_merge_multivalued_int_fields_all_deleted() {
|
||||
let mut schema_builder = schema::SchemaBuilder::default();
|
||||
let int_options = IntOptions::default()
|
||||
.set_fast(Cardinality::MultiValues)
|
||||
.set_indexed();
|
||||
let int_field = schema_builder.add_u64_field("intvals", int_options);
|
||||
let index = Index::create_in_ram(schema_builder.build());
|
||||
|
||||
{
|
||||
let mut index_writer = index.writer_with_num_threads(1, 40_000_000).unwrap();
|
||||
let mut doc = Document::default();
|
||||
doc.add_u64(int_field, 1);
|
||||
index_writer.add_document(doc.clone());
|
||||
index_writer.commit().expect("commit failed");
|
||||
index_writer.add_document(doc);
|
||||
index_writer.commit().expect("commit failed");
|
||||
index_writer.delete_term(Term::from_field_u64(int_field, 1));
|
||||
index_writer.commit().expect("commit failed");
|
||||
}
|
||||
index.load_searchers().unwrap();
|
||||
let searcher = index.searcher();
|
||||
assert_eq!(searcher.num_docs(), 0);
|
||||
// Merging the segments
|
||||
{
|
||||
let segment_ids = index
|
||||
.searchable_segment_ids()
|
||||
.expect("Searchable segments failed.");
|
||||
let mut index_writer = index.writer_with_num_threads(1, 40_000_000).unwrap();
|
||||
index_writer
|
||||
.merge(&segment_ids)
|
||||
.wait()
|
||||
.expect("Merging failed");
|
||||
index_writer.wait_merging_threads().unwrap();
|
||||
}
|
||||
index.load_searchers().unwrap();
|
||||
let searcher = index.searcher();
|
||||
assert_eq!(searcher.num_docs(), 0);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_merge_multivalued_int_fields() {
|
||||
let mut schema_builder = schema::SchemaBuilder::default();
|
||||
let int_options = IntOptions::default()
|
||||
.set_fast(Cardinality::MultiValues)
|
||||
.set_indexed();
|
||||
let int_field = schema_builder.add_u64_field("intvals", int_options);
|
||||
let index = Index::create_in_ram(schema_builder.build());
|
||||
|
||||
|
||||
{
|
||||
let mut index_writer = index.writer_with_num_threads(1, 40_000_000).unwrap();
|
||||
let index_doc = |index_writer: &mut IndexWriter, int_vals: &[u64]| {
|
||||
let mut doc = Document::default();
|
||||
for &val in int_vals {
|
||||
doc.add_u64(int_field, val);
|
||||
}
|
||||
index_writer.add_document(doc);
|
||||
};
|
||||
|
||||
index_doc(&mut index_writer, &[1, 2]);
|
||||
index_doc(&mut index_writer, &[1, 2, 3]);
|
||||
index_doc(&mut index_writer, &[4, 5]);
|
||||
index_doc(&mut index_writer, &[1, 2]);
|
||||
index_doc(&mut index_writer, &[1, 5]);
|
||||
index_doc(&mut index_writer, &[3]);
|
||||
index_doc(&mut index_writer, &[17]);
|
||||
index_writer.commit().expect("committed");
|
||||
|
||||
index_doc(&mut index_writer, &[20]);
|
||||
index_writer.commit().expect("committed");
|
||||
|
||||
index_doc(&mut index_writer, &[28, 27]);
|
||||
index_doc(&mut index_writer, &[1_000]);
|
||||
|
||||
index_writer.commit().expect("committed");
|
||||
}
|
||||
index.load_searchers().unwrap();
|
||||
|
||||
let searcher = index.searcher();
|
||||
|
||||
let mut vals: Vec<u64> = Vec::new();
|
||||
|
||||
{
|
||||
let segment = searcher.segment_reader(0u32);
|
||||
let ff_reader = segment.multi_fast_field_reader(int_field).unwrap();
|
||||
|
||||
ff_reader.get_vals(0, &mut vals);
|
||||
assert_eq!(&vals, &[1, 2]);
|
||||
|
||||
ff_reader.get_vals(1, &mut vals);
|
||||
assert_eq!(&vals, &[1, 2, 3]);
|
||||
|
||||
ff_reader.get_vals(2, &mut vals);
|
||||
assert_eq!(&vals, &[4, 5]);
|
||||
|
||||
ff_reader.get_vals(3, &mut vals);
|
||||
assert_eq!(&vals, &[1, 2]);
|
||||
|
||||
ff_reader.get_vals(4, &mut vals);
|
||||
assert_eq!(&vals, &[1, 5]);
|
||||
|
||||
ff_reader.get_vals(5, &mut vals);
|
||||
assert_eq!(&vals, &[3]);
|
||||
|
||||
ff_reader.get_vals(6, &mut vals);
|
||||
assert_eq!(&vals, &[17]);
|
||||
}
|
||||
|
||||
|
||||
{
|
||||
let segment = searcher.segment_reader(1u32);
|
||||
let ff_reader = segment.multi_fast_field_reader(int_field).unwrap();
|
||||
ff_reader.get_vals(0, &mut vals);
|
||||
assert_eq!(&vals, &[20]);
|
||||
}
|
||||
|
||||
{
|
||||
let segment = searcher.segment_reader(2u32);
|
||||
let ff_reader = segment.multi_fast_field_reader(int_field).unwrap();
|
||||
ff_reader.get_vals(0, &mut vals);
|
||||
assert_eq!(&vals, &[28, 27]);
|
||||
|
||||
ff_reader.get_vals(1, &mut vals);
|
||||
assert_eq!(&vals, &[1_000]);
|
||||
}
|
||||
|
||||
// Merging the segments
|
||||
{
|
||||
let segment_ids = index
|
||||
.searchable_segment_ids()
|
||||
.expect("Searchable segments failed.");
|
||||
let mut index_writer = index.writer_with_num_threads(1, 40_000_000).unwrap();
|
||||
index_writer
|
||||
.merge(&segment_ids)
|
||||
.wait()
|
||||
.expect("Merging failed");
|
||||
index_writer.wait_merging_threads().unwrap();
|
||||
}
|
||||
|
||||
index.load_searchers().unwrap();
|
||||
|
||||
{
|
||||
let searcher = index.searcher();
|
||||
let segment = searcher.segment_reader(0u32);
|
||||
let ff_reader = segment.multi_fast_field_reader(int_field).unwrap();
|
||||
|
||||
ff_reader.get_vals(0, &mut vals);
|
||||
assert_eq!(&vals, &[1, 2]);
|
||||
|
||||
ff_reader.get_vals(1, &mut vals);
|
||||
assert_eq!(&vals, &[1, 2, 3]);
|
||||
|
||||
ff_reader.get_vals(2, &mut vals);
|
||||
assert_eq!(&vals, &[4, 5]);
|
||||
|
||||
ff_reader.get_vals(3, &mut vals);
|
||||
assert_eq!(&vals, &[1, 2]);
|
||||
|
||||
ff_reader.get_vals(4, &mut vals);
|
||||
assert_eq!(&vals, &[1, 5]);
|
||||
|
||||
ff_reader.get_vals(5, &mut vals);
|
||||
assert_eq!(&vals, &[3]);
|
||||
|
||||
ff_reader.get_vals(6, &mut vals);
|
||||
assert_eq!(&vals, &[17]);
|
||||
|
||||
ff_reader.get_vals(7, &mut vals);
|
||||
assert_eq!(&vals, &[20]);
|
||||
|
||||
ff_reader.get_vals(8, &mut vals);
|
||||
assert_eq!(&vals, &[28, 27]);
|
||||
|
||||
ff_reader.get_vals(9, &mut vals);
|
||||
assert_eq!(&vals, &[1_000]);
|
||||
}
|
||||
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
@@ -11,9 +11,9 @@ pub struct PreparedCommit<'a> {
|
||||
impl<'a> PreparedCommit<'a> {
|
||||
pub(crate) fn new(index_writer: &'a mut IndexWriter, opstamp: u64) -> PreparedCommit {
|
||||
PreparedCommit {
|
||||
index_writer: index_writer,
|
||||
index_writer,
|
||||
payload: None,
|
||||
opstamp: opstamp,
|
||||
opstamp
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
31
src/lib.rs
31
src/lib.rs
@@ -645,6 +645,22 @@ mod tests {
|
||||
assert!(!postings.advance());
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_indexedfield_not_in_documents() {
|
||||
let mut schema_builder = SchemaBuilder::default();
|
||||
let text_field = schema_builder.add_text_field("text", TEXT);
|
||||
let absent_field = schema_builder.add_text_field("text", TEXT);
|
||||
let schema = schema_builder.build();
|
||||
let index = Index::create_in_ram(schema);
|
||||
let mut index_writer = index.writer_with_num_threads(2, 40_000_000).unwrap();
|
||||
index_writer.add_document(doc!(text_field=>"a"));
|
||||
assert!(index_writer.commit().is_ok());
|
||||
assert!(index.load_searchers().is_ok());
|
||||
let searcher = index.searcher();
|
||||
let segment_reader = searcher.segment_reader(0);
|
||||
segment_reader.inverted_index(absent_field); //< should not panic
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_delete_postings2() {
|
||||
let mut schema_builder = SchemaBuilder::default();
|
||||
@@ -859,31 +875,26 @@ mod tests {
|
||||
let searcher = index.searcher();
|
||||
let segment_reader: &SegmentReader = searcher.segment_reader(0);
|
||||
{
|
||||
let fast_field_reader_res =
|
||||
segment_reader.fast_field_reader::<u64>(text_field);
|
||||
let fast_field_reader_res = segment_reader.fast_field_reader::<u64>(text_field);
|
||||
assert!(fast_field_reader_res.is_err());
|
||||
}
|
||||
{
|
||||
let fast_field_reader_res =
|
||||
segment_reader.fast_field_reader::<u64>(stored_int_field);
|
||||
let fast_field_reader_res = segment_reader.fast_field_reader::<u64>(stored_int_field);
|
||||
assert!(fast_field_reader_res.is_err());
|
||||
}
|
||||
{
|
||||
let fast_field_reader_res =
|
||||
segment_reader.fast_field_reader::<u64>(fast_field_signed);
|
||||
let fast_field_reader_res = segment_reader.fast_field_reader::<u64>(fast_field_signed);
|
||||
assert!(fast_field_reader_res.is_err());
|
||||
}
|
||||
{
|
||||
let fast_field_reader_res =
|
||||
segment_reader.fast_field_reader::<i64>(fast_field_signed);
|
||||
let fast_field_reader_res = segment_reader.fast_field_reader::<i64>(fast_field_signed);
|
||||
assert!(fast_field_reader_res.is_ok());
|
||||
let fast_field_reader = fast_field_reader_res.unwrap();
|
||||
assert_eq!(fast_field_reader.get(0), 4i64)
|
||||
}
|
||||
|
||||
{
|
||||
let fast_field_reader_res =
|
||||
segment_reader.fast_field_reader::<i64>(fast_field_signed);
|
||||
let fast_field_reader_res = segment_reader.fast_field_reader::<i64>(fast_field_signed);
|
||||
assert!(fast_field_reader_res.is_ok());
|
||||
let fast_field_reader = fast_field_reader_res.unwrap();
|
||||
assert_eq!(fast_field_reader.get(0), 4i64)
|
||||
|
||||
@@ -63,4 +63,41 @@ macro_rules! doc(
|
||||
document
|
||||
}
|
||||
};
|
||||
// if there is a trailing comma retry with the trailing comma stripped.
|
||||
($($field:expr => $value:expr),+ ,) => {
|
||||
doc!( $( $field => $value ), *);
|
||||
};
|
||||
);
|
||||
|
||||
#[cfg(test)]
|
||||
mod test {
|
||||
use schema::{SchemaBuilder, FAST, TEXT};
|
||||
|
||||
#[test]
|
||||
fn test_doc_basic() {
|
||||
let mut schema_builder = SchemaBuilder::new();
|
||||
let title = schema_builder.add_text_field("title", TEXT);
|
||||
let author = schema_builder.add_text_field("text", TEXT);
|
||||
let likes = schema_builder.add_u64_field("num_u64", FAST);
|
||||
let _schema = schema_builder.build();
|
||||
let _doc = doc!(
|
||||
title => "Life Aquatic",
|
||||
author => "Wes Anderson",
|
||||
likes => 4u64
|
||||
);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_doc_trailing_comma() {
|
||||
let mut schema_builder = SchemaBuilder::new();
|
||||
let title = schema_builder.add_text_field("title", TEXT);
|
||||
let author = schema_builder.add_text_field("text", TEXT);
|
||||
let likes = schema_builder.add_u64_field("num_u64", FAST);
|
||||
let _schema = schema_builder.build();
|
||||
let _doc = doc!(
|
||||
title => "Life Aquatic",
|
||||
author => "Wes Anderson",
|
||||
likes => 4u64,
|
||||
);
|
||||
}
|
||||
}
|
||||
|
||||
@@ -16,6 +16,7 @@ use tokenizer::Token;
|
||||
use tokenizer::TokenStream;
|
||||
use schema::IndexRecordOption;
|
||||
use postings::UnorderedTermId;
|
||||
use termdict::TermOrdinal;
|
||||
|
||||
fn posting_from_field_entry<'a>(
|
||||
field_entry: &FieldEntry,
|
||||
@@ -44,6 +45,7 @@ fn posting_from_field_entry<'a>(
|
||||
|
||||
pub struct MultiFieldPostingsWriter<'a> {
|
||||
heap: &'a Heap,
|
||||
schema: Schema,
|
||||
term_index: TermHashMap<'a>,
|
||||
per_field_postings_writers: Vec<Box<PostingsWriter + 'a>>,
|
||||
}
|
||||
@@ -58,8 +60,8 @@ impl<'a> MultiFieldPostingsWriter<'a> {
|
||||
.iter()
|
||||
.map(|field_entry| posting_from_field_entry(field_entry, heap))
|
||||
.collect();
|
||||
|
||||
MultiFieldPostingsWriter {
|
||||
schema: schema.clone(),
|
||||
heap,
|
||||
term_index,
|
||||
per_field_postings_writers,
|
||||
@@ -83,7 +85,7 @@ impl<'a> MultiFieldPostingsWriter<'a> {
|
||||
pub fn serialize(
|
||||
&self,
|
||||
serializer: &mut InvertedIndexSerializer,
|
||||
) -> Result<HashMap<Field, HashMap<UnorderedTermId, usize>>> {
|
||||
) -> Result<HashMap<Field, HashMap<UnorderedTermId, TermOrdinal>>> {
|
||||
let mut term_offsets: Vec<(&[u8], u32, UnorderedTermId)> = self.term_index.iter().collect();
|
||||
term_offsets.sort_by_key(|&(k, _, _)| k);
|
||||
|
||||
@@ -94,7 +96,7 @@ impl<'a> MultiFieldPostingsWriter<'a> {
|
||||
.map(|(key, _, _)| Term::wrap(key).field())
|
||||
.enumerate();
|
||||
|
||||
let mut unordered_term_mappings: HashMap<Field, HashMap<UnorderedTermId, usize>> =
|
||||
let mut unordered_term_mappings: HashMap<Field, HashMap<UnorderedTermId, TermOrdinal>> =
|
||||
HashMap::new();
|
||||
|
||||
let mut prev_field = Field(u32::max_value());
|
||||
@@ -110,17 +112,23 @@ impl<'a> MultiFieldPostingsWriter<'a> {
|
||||
let (field, start) = offsets[i];
|
||||
let (_, stop) = offsets[i + 1];
|
||||
|
||||
// populating the unordered term ord -> ordered term ord mapping
|
||||
// for the field.
|
||||
let mut mapping = HashMap::new();
|
||||
for (term_ord, term_unord_id) in term_offsets[start..stop]
|
||||
.iter()
|
||||
.map(|&(_, _, bucket)| bucket)
|
||||
.enumerate()
|
||||
{
|
||||
mapping.insert(term_unord_id, term_ord);
|
||||
let field_entry = self.schema.get_field_entry(field);
|
||||
|
||||
match field_entry.field_type() {
|
||||
FieldType::Str(_) | FieldType::HierarchicalFacet => {
|
||||
// populating the (unordered term ord) -> (ordered term ord) mapping
|
||||
// for the field.
|
||||
let mut unordered_term_ids = term_offsets[start..stop]
|
||||
.iter()
|
||||
.map(|&(_, _, bucket)| bucket);
|
||||
let mut mapping: HashMap<UnorderedTermId, TermOrdinal> = unordered_term_ids
|
||||
.enumerate()
|
||||
.map(|(term_ord, unord_term_id)| (unord_term_id as UnorderedTermId, term_ord as TermOrdinal))
|
||||
.collect();
|
||||
unordered_term_mappings.insert(field, mapping);
|
||||
}
|
||||
FieldType::U64(_) | FieldType::I64(_) => {}
|
||||
}
|
||||
unordered_term_mappings.insert(field, mapping);
|
||||
|
||||
let postings_writer = &self.per_field_postings_writers[field.0 as usize];
|
||||
let mut field_serializer = serializer.new_field(field)?;
|
||||
|
||||
@@ -13,7 +13,7 @@ use std::io::{self, Write};
|
||||
use compression::VIntEncoder;
|
||||
use common::CountingWriter;
|
||||
use common::CompositeWrite;
|
||||
use termdict::TermDictionaryBuilder;
|
||||
use termdict::{TermOrdinal, TermDictionaryBuilder};
|
||||
|
||||
/// `PostingsSerializer` is in charge of serializing
|
||||
/// postings on disk, in the
|
||||
@@ -114,6 +114,7 @@ pub struct FieldSerializer<'a> {
|
||||
positions_serializer_opt: Option<PositionSerializer<&'a mut CountingWriter<WritePtr>>>,
|
||||
current_term_info: TermInfo,
|
||||
term_open: bool,
|
||||
num_terms: TermOrdinal,
|
||||
}
|
||||
|
||||
impl<'a> FieldSerializer<'a> {
|
||||
@@ -152,6 +153,7 @@ impl<'a> FieldSerializer<'a> {
|
||||
positions_serializer_opt,
|
||||
current_term_info: TermInfo::default(),
|
||||
term_open: false,
|
||||
num_terms: TermOrdinal::default(),
|
||||
})
|
||||
}
|
||||
|
||||
@@ -172,7 +174,7 @@ impl<'a> FieldSerializer<'a> {
|
||||
/// * term - the term. It needs to come after the previous term according
|
||||
/// to the lexicographical order.
|
||||
/// * doc_freq - return the number of document containing the term.
|
||||
pub fn new_term(&mut self, term: &[u8]) -> io::Result<()> {
|
||||
pub fn new_term(&mut self, term: &[u8]) -> io::Result<TermOrdinal> {
|
||||
assert!(
|
||||
!self.term_open,
|
||||
"Called new_term, while the previous term was not closed."
|
||||
@@ -180,7 +182,10 @@ impl<'a> FieldSerializer<'a> {
|
||||
self.term_open = true;
|
||||
self.postings_serializer.clear();
|
||||
self.current_term_info = self.current_term_info();
|
||||
self.term_dictionary_builder.insert_key(term)
|
||||
self.term_dictionary_builder.insert_key(term)?;
|
||||
let term_ordinal = self.num_terms;
|
||||
self.num_terms += 1;
|
||||
Ok(term_ordinal)
|
||||
}
|
||||
|
||||
/// Serialize the information that a document contains the current term,
|
||||
|
||||
@@ -7,6 +7,7 @@ use Result;
|
||||
use Score;
|
||||
use DocId;
|
||||
use core::Searcher;
|
||||
use fastfield::DeleteBitSet;
|
||||
|
||||
/// Query that matches all of the documents.
|
||||
///
|
||||
@@ -26,28 +27,52 @@ pub struct AllWeight;
|
||||
impl Weight for AllWeight {
|
||||
fn scorer(&self, reader: &SegmentReader) -> Result<Box<Scorer>> {
|
||||
Ok(box AllScorer {
|
||||
started: false,
|
||||
state: State::NotStarted,
|
||||
doc: 0u32,
|
||||
max_doc: reader.max_doc(),
|
||||
deleted_bitset: reader.delete_bitset().clone()
|
||||
})
|
||||
}
|
||||
}
|
||||
|
||||
enum State {
|
||||
NotStarted,
|
||||
Started,
|
||||
Finished
|
||||
}
|
||||
|
||||
/// Scorer associated to the `AllQuery` query.
|
||||
pub struct AllScorer {
|
||||
started: bool,
|
||||
state: State,
|
||||
doc: DocId,
|
||||
max_doc: DocId,
|
||||
deleted_bitset: DeleteBitSet
|
||||
}
|
||||
|
||||
impl DocSet for AllScorer {
|
||||
fn advance(&mut self) -> bool {
|
||||
if self.started {
|
||||
self.doc += 1u32;
|
||||
} else {
|
||||
self.started = true;
|
||||
loop {
|
||||
match self.state {
|
||||
State::NotStarted => {
|
||||
self.state = State::Started;
|
||||
self.doc = 0;
|
||||
}
|
||||
State::Started => {
|
||||
self.doc += 1u32;
|
||||
}
|
||||
State::Finished => {
|
||||
return false;
|
||||
}
|
||||
}
|
||||
if self.doc < self.max_doc {
|
||||
if !self.deleted_bitset.is_deleted(self.doc) {
|
||||
return true;
|
||||
}
|
||||
} else {
|
||||
self.state = State::Finished;
|
||||
return false;
|
||||
}
|
||||
}
|
||||
self.doc < self.max_doc
|
||||
}
|
||||
|
||||
fn doc(&self) -> DocId {
|
||||
|
||||
@@ -21,8 +21,6 @@ mod tests {
|
||||
use query::RequiredOptionalScorer;
|
||||
use query::score_combiner::SumWithCoordsCombiner;
|
||||
|
||||
|
||||
|
||||
fn aux_test_helper() -> (Index, Field) {
|
||||
let mut schema_builder = SchemaBuilder::default();
|
||||
let text_field = schema_builder.add_text_field("text", TEXT);
|
||||
@@ -104,7 +102,9 @@ mod tests {
|
||||
let query = query_parser.parse_query("+a b").unwrap();
|
||||
let weight = query.weight(&*searcher, true).unwrap();
|
||||
let scorer = weight.scorer(searcher.segment_reader(0u32)).unwrap();
|
||||
assert!(Downcast::<RequiredOptionalScorer<Box<Scorer>, Box<Scorer>, SumWithCoordsCombiner>>::is_type(&*scorer));
|
||||
assert!(Downcast::<
|
||||
RequiredOptionalScorer<Box<Scorer>, Box<Scorer>, SumWithCoordsCombiner>,
|
||||
>::is_type(&*scorer));
|
||||
}
|
||||
{
|
||||
let query = query_parser.parse_query("+a b").unwrap();
|
||||
@@ -116,7 +116,6 @@ mod tests {
|
||||
|
||||
#[test]
|
||||
pub fn test_boolean_query() {
|
||||
|
||||
let (index, text_field) = aux_test_helper();
|
||||
|
||||
let make_term_query = |text: &str| {
|
||||
|
||||
@@ -41,7 +41,8 @@ fn leaf<I>(input: I) -> ParseResult<UserInputAST, I>
|
||||
where
|
||||
I: Stream<Item = char>,
|
||||
{
|
||||
(char('-'), parser(leaf)).map(|(_, expr)| UserInputAST::Not(box expr))
|
||||
(char('-'), parser(leaf))
|
||||
.map(|(_, expr)| UserInputAST::Not(box expr))
|
||||
.or((char('+'), parser(leaf)).map(|(_, expr)| UserInputAST::Must(box expr)))
|
||||
.or((char('('), parser(parse_to_ast), char(')')).map(|(_, expr, _)| expr))
|
||||
.or(parser(literal))
|
||||
|
||||
@@ -155,7 +155,7 @@ impl QueryParser {
|
||||
fn compute_logical_ast_for_leaf(
|
||||
&self,
|
||||
field: Field,
|
||||
phrase: &str
|
||||
phrase: &str,
|
||||
) -> Result<Option<LogicalLiteral>, QueryParserError> {
|
||||
let field_entry = self.schema.get_field_entry(field);
|
||||
let field_type = field_entry.field_type();
|
||||
@@ -328,7 +328,7 @@ mod test {
|
||||
use tokenizer::TokenizerManager;
|
||||
use query::Query;
|
||||
use schema::Field;
|
||||
use schema::{TextOptions, TextFieldIndexing, IndexRecordOption};
|
||||
use schema::{IndexRecordOption, TextFieldIndexing, TextOptions};
|
||||
use super::QueryParser;
|
||||
use super::QueryParserError;
|
||||
use Index;
|
||||
@@ -538,7 +538,9 @@ mod test {
|
||||
let title = schema_builder.add_text_field("title", text_options);
|
||||
let schema = schema_builder.build();
|
||||
let index = Index::create_in_ram(schema);
|
||||
index.tokenizers().register("customtokenizer", SimpleTokenizer);
|
||||
index
|
||||
.tokenizers()
|
||||
.register("customtokenizer", SimpleTokenizer);
|
||||
let query_parser = QueryParser::for_index(&index, vec![title]);
|
||||
assert!(query_parser.parse_query("title:\"happy tax\"").is_ok());
|
||||
}
|
||||
|
||||
@@ -51,8 +51,10 @@ impl DocSet for EmptyScorer {
|
||||
}
|
||||
|
||||
fn doc(&self) -> DocId {
|
||||
panic!("You may not call .doc() on a scorer \
|
||||
where the last call to advance() did not return true.");
|
||||
panic!(
|
||||
"You may not call .doc() on a scorer \
|
||||
where the last call to advance() did not return true."
|
||||
);
|
||||
}
|
||||
|
||||
fn size_hint(&self) -> u32 {
|
||||
|
||||
@@ -110,7 +110,9 @@ impl<TScorer: Scorer, TScoreCombiner: ScoreCombiner> Union<TScorer, TScoreCombin
|
||||
}
|
||||
|
||||
impl<TScorer, TScoreCombiner> DocSet for Union<TScorer, TScoreCombiner>
|
||||
where TScorer: Scorer, TScoreCombiner: ScoreCombiner
|
||||
where
|
||||
TScorer: Scorer,
|
||||
TScoreCombiner: ScoreCombiner,
|
||||
{
|
||||
fn advance(&mut self) -> bool {
|
||||
if self.advance_buffered() {
|
||||
|
||||
@@ -212,6 +212,14 @@ mod tests {
|
||||
assert!(Facet::root().is_root());
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_from_path() {
|
||||
assert_eq!(
|
||||
Facet::from_path(vec!["top", "a", "firstdoc"]),
|
||||
Facet::from("/top/a/firstdoc")
|
||||
);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_facet_display() {
|
||||
{
|
||||
|
||||
@@ -123,7 +123,6 @@ impl Default for SchemaBuilder {
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
struct InnerSchema {
|
||||
fields: Vec<FieldEntry>,
|
||||
fields_map: HashMap<String, Field>, // transient
|
||||
@@ -243,7 +242,6 @@ impl Schema {
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
impl Serialize for Schema {
|
||||
fn serialize<S>(&self, serializer: S) -> Result<S::Ok, S::Error>
|
||||
where
|
||||
@@ -292,7 +290,6 @@ impl<'de> Deserialize<'de> for Schema {
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
/// Error that may happen when deserializing
|
||||
/// a document from JSON.
|
||||
#[derive(Debug)]
|
||||
@@ -467,7 +464,10 @@ mod tests {
|
||||
"jambon": "bayonne"
|
||||
}"#,
|
||||
);
|
||||
assert_matches!(json_err, Err(DocParsingError::ValueError(_, ValueParsingError::TypeError(_))));
|
||||
assert_matches!(
|
||||
json_err,
|
||||
Err(DocParsingError::ValueError(_, ValueParsingError::TypeError(_)))
|
||||
);
|
||||
}
|
||||
{
|
||||
let json_err = schema.parse_document(
|
||||
@@ -478,7 +478,10 @@ mod tests {
|
||||
"popularity": 10
|
||||
}"#,
|
||||
);
|
||||
assert_matches!(json_err, Err(DocParsingError::ValueError(_, ValueParsingError::OverflowError(_))));
|
||||
assert_matches!(
|
||||
json_err,
|
||||
Err(DocParsingError::ValueError(_, ValueParsingError::OverflowError(_)))
|
||||
);
|
||||
}
|
||||
{
|
||||
let json_err = schema.parse_document(
|
||||
@@ -489,7 +492,10 @@ mod tests {
|
||||
"popularity": 10
|
||||
}"#,
|
||||
);
|
||||
assert!(!matches!(json_err, Err(DocParsingError::ValueError(_, ValueParsingError::OverflowError(_)))));
|
||||
assert!(!matches!(
|
||||
json_err,
|
||||
Err(DocParsingError::ValueError(_, ValueParsingError::OverflowError(_)))
|
||||
));
|
||||
}
|
||||
{
|
||||
let json_err = schema.parse_document(
|
||||
@@ -500,7 +506,10 @@ mod tests {
|
||||
"popularity": 9223372036854775808
|
||||
}"#,
|
||||
);
|
||||
assert_matches!(json_err, Err(DocParsingError::ValueError(_, ValueParsingError::OverflowError(_))));
|
||||
assert_matches!(
|
||||
json_err,
|
||||
Err(DocParsingError::ValueError(_, ValueParsingError::OverflowError(_)))
|
||||
);
|
||||
}
|
||||
{
|
||||
let json_err = schema.parse_document(
|
||||
|
||||
@@ -4,6 +4,7 @@ use common;
|
||||
use byteorder::{BigEndian, ByteOrder};
|
||||
use super::Field;
|
||||
use std::str;
|
||||
use schema::Facet;
|
||||
|
||||
/// Size (in bytes) of the buffer of a int field.
|
||||
const INT_TERM_LEN: usize = 4 + 8;
|
||||
@@ -29,6 +30,16 @@ impl Term {
|
||||
Term::from_field_u64(field, val_u64)
|
||||
}
|
||||
|
||||
/// Creates a `Term` given a facet.
|
||||
pub fn from_facet(field: Field, facet: &Facet) -> Term {
|
||||
let bytes = facet.encoded_bytes();
|
||||
let buffer = Vec::with_capacity(4 + bytes.len());
|
||||
let mut term = Term(buffer);
|
||||
term.set_field(field);
|
||||
term.set_bytes(bytes);
|
||||
term
|
||||
}
|
||||
|
||||
/// Builds a term given a field, and a string value
|
||||
///
|
||||
/// Assuming the term has a field id of 2, and a text value of "abc",
|
||||
@@ -91,10 +102,14 @@ impl Term {
|
||||
self.set_u64(common::i64_to_u64(val));
|
||||
}
|
||||
|
||||
fn set_bytes(&mut self, bytes: &[u8]) {
|
||||
self.0.resize(4, 0u8);
|
||||
self.0.extend(bytes);
|
||||
}
|
||||
|
||||
/// Set the texts only, keeping the field untouched.
|
||||
pub fn set_text(&mut self, text: &str) {
|
||||
self.0.resize(4, 0u8);
|
||||
self.0.extend(text.as_bytes());
|
||||
self.set_bytes(text.as_bytes());
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
@@ -13,8 +13,8 @@ pub struct TermStreamerBuilderImpl<'a> {
|
||||
impl<'a> TermStreamerBuilderImpl<'a> {
|
||||
pub(crate) fn new(fst_map: &'a TermDictionaryImpl, stream_builder: StreamBuilder<'a>) -> Self {
|
||||
TermStreamerBuilderImpl {
|
||||
fst_map: fst_map,
|
||||
stream_builder: stream_builder,
|
||||
fst_map,
|
||||
stream_builder,
|
||||
}
|
||||
}
|
||||
}
|
||||
@@ -86,4 +86,8 @@ impl<'a> TermStreamer for TermStreamerImpl<'a> {
|
||||
fn value(&self) -> &TermInfo {
|
||||
&self.current_value
|
||||
}
|
||||
|
||||
fn max_term_ord(&self) -> TermOrdinal {
|
||||
self.fst_map.num_terms() as TermOrdinal
|
||||
}
|
||||
}
|
||||
|
||||
@@ -1,4 +1,3 @@
|
||||
|
||||
use std::io;
|
||||
use std::cmp;
|
||||
use std::io::{Read, Write};
|
||||
|
||||
@@ -120,6 +120,16 @@ impl<'a> TermDictionary<'a> for TermDictionaryImpl {
|
||||
}
|
||||
}
|
||||
|
||||
fn empty(field_type: FieldType) -> Self {
|
||||
let term_dictionary_data: Vec<u8> =
|
||||
TermDictionaryBuilderImpl::new(Vec::<u8>::new(), field_type)
|
||||
.expect("Creating a TermDictionaryBuilder in a Vec<u8> should never fail")
|
||||
.finish()
|
||||
.expect("Writing in a Vec<u8> should never fail");
|
||||
let source = ReadOnlySource::from(term_dictionary_data);
|
||||
Self::from_source(source)
|
||||
}
|
||||
|
||||
fn num_terms(&self) -> usize {
|
||||
self.term_info_store.num_terms()
|
||||
}
|
||||
|
||||
@@ -2,6 +2,7 @@ use std::collections::BinaryHeap;
|
||||
use termdict::TermStreamerImpl;
|
||||
use std::cmp::Ordering;
|
||||
use termdict::TermStreamer;
|
||||
use termdict::TermOrdinal;
|
||||
use schema::Term;
|
||||
|
||||
pub struct HeapItem<'a> {
|
||||
@@ -29,6 +30,7 @@ impl<'a> Ord for HeapItem<'a> {
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
/// Given a list of sorted term streams,
|
||||
/// returns an iterator over sorted unique terms.
|
||||
///
|
||||
@@ -43,8 +45,6 @@ pub struct TermMerger<'a> {
|
||||
|
||||
impl<'a> TermMerger<'a> {
|
||||
/// Stream of merged term dictionary
|
||||
///
|
||||
///
|
||||
pub fn new(streams: Vec<TermStreamerImpl<'a>>) -> TermMerger<'a> {
|
||||
TermMerger {
|
||||
heap: BinaryHeap::new(),
|
||||
@@ -59,6 +59,14 @@ impl<'a> TermMerger<'a> {
|
||||
}
|
||||
}
|
||||
|
||||
pub(crate) fn matching_segments<'b: 'a>(&'b self) -> Box<'b + Iterator<Item=(usize, TermOrdinal)>> {
|
||||
Box::new(self.current_streamers
|
||||
.iter()
|
||||
.map(|heap_item| {
|
||||
(heap_item.segment_ord, heap_item.streamer.term_ord())
|
||||
}))
|
||||
}
|
||||
|
||||
fn advance_segments(&mut self) {
|
||||
let streamers = &mut self.current_streamers;
|
||||
let heap = &mut self.heap;
|
||||
|
||||
@@ -127,6 +127,9 @@ where
|
||||
.lt(stop_term.as_slice())
|
||||
.into_stream()
|
||||
}
|
||||
|
||||
/// Creates an empty term dictionary which contains no terms.
|
||||
fn empty(field_type: FieldType) -> Self;
|
||||
}
|
||||
|
||||
/// Builder for the new term dictionary.
|
||||
@@ -194,6 +197,13 @@ pub trait TermStreamer: Sized {
|
||||
None
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
/// Returns an upperbound for term ordinals in this stream.
|
||||
///
|
||||
/// All term ordinals are guaranteed to be stricly smaller
|
||||
/// than the result of `.max_term_ord()`
|
||||
fn max_term_ord(&self) -> TermOrdinal;
|
||||
}
|
||||
|
||||
/// `TermStreamerBuilder` is an helper object used to define
|
||||
|
||||
@@ -31,7 +31,7 @@ impl<'a> Tokenizer<'a> for FacetTokenizer {
|
||||
|
||||
fn token_stream(&self, text: &'a str) -> Self::TokenStreamImpl {
|
||||
FacetTokenStream {
|
||||
text: text,
|
||||
text,
|
||||
state: State::RootFacetNotEmitted, //< pos is the first char that has not been processed yet.
|
||||
token: Token::default(),
|
||||
}
|
||||
|
||||
@@ -6,21 +6,21 @@ use tokenizer::TokenStreamChain;
|
||||
|
||||
/// Token
|
||||
pub struct Token {
|
||||
/// Offset (byte index) of the first character of the token.
|
||||
/// Offsets shall not be modified by token filters.
|
||||
pub offset_from: usize,
|
||||
/// Offset (byte index) of the last character of the token + 1.
|
||||
/// The text that generated the token should be obtained by
|
||||
/// &text[token.offset_from..token.offset_to]
|
||||
pub offset_to: usize,
|
||||
/// Position, expressed in number of tokens.
|
||||
pub position: usize,
|
||||
/// Actual text content of the token.
|
||||
pub text: String,
|
||||
/// Offset (byte index) of the first character of the token.
|
||||
/// Offsets shall not be modified by token filters.
|
||||
pub offset_from: usize,
|
||||
/// Offset (byte index) of the last character of the token + 1.
|
||||
/// The text that generated the token should be obtained by
|
||||
/// &text[token.offset_from..token.offset_to]
|
||||
pub offset_to: usize,
|
||||
/// Position, expressed in number of tokens.
|
||||
pub position: usize,
|
||||
/// Actual text content of the token.
|
||||
pub text: String,
|
||||
}
|
||||
|
||||
impl Default for Token {
|
||||
fn default() -> Token {
|
||||
fn default() -> Token {
|
||||
Token {
|
||||
offset_from: 0,
|
||||
offset_to: 0,
|
||||
|
||||
Reference in New Issue
Block a user