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segment_writer.rs
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segment_writer.rs
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use super::doc_id_mapping::{get_doc_id_mapping_from_field, DocIdMapping};
use super::operation::AddOperation;
use crate::core::Segment;
use crate::fastfield::{FastFieldsWriter, FastValue as _};
use crate::fieldnorm::{FieldNormReaders, FieldNormsWriter};
use crate::indexer::json_term_writer::index_json_values;
use crate::indexer::segment_serializer::SegmentSerializer;
use crate::postings::{
compute_table_size, serialize_postings, IndexingContext, IndexingPosition,
PerFieldPostingsWriter, PostingsWriter,
};
use crate::schema::{FieldEntry, FieldType, FieldValue, Schema, Term, Value};
use crate::store::{StoreReader, StoreWriter};
use crate::tokenizer::{
BoxTokenStream, FacetTokenizer, PreTokenizedStream, TextAnalyzer, Tokenizer,
};
use crate::{DocId, Document, Opstamp, SegmentComponent};
/// Computes the initial size of the hash table.
///
/// Returns the recommended initial table size as a power of 2.
///
/// Note this is a very dumb way to compute log2, but it is easier to proofread that way.
fn compute_initial_table_size(per_thread_memory_budget: usize) -> crate::Result<usize> {
let table_memory_upper_bound = per_thread_memory_budget / 3;
(10..20) // We cap it at 2^19 = 512K capacity.
.map(|power| 1 << power)
.take_while(|capacity| compute_table_size(*capacity) < table_memory_upper_bound)
.last()
.ok_or_else(|| {
crate::TantivyError::InvalidArgument(format!(
"per thread memory budget (={per_thread_memory_budget}) is too small. Raise the \
memory budget or lower the number of threads."
))
})
}
fn remap_doc_opstamps(
opstamps: Vec<Opstamp>,
doc_id_mapping_opt: Option<&DocIdMapping>,
) -> Vec<Opstamp> {
if let Some(doc_id_mapping_opt) = doc_id_mapping_opt {
doc_id_mapping_opt
.iter_old_doc_ids()
.map(|doc| opstamps[doc as usize])
.collect()
} else {
opstamps
}
}
/// A `SegmentWriter` is in charge of creating segment index from a
/// set of documents.
///
/// They creates the postings list in anonymous memory.
/// The segment is layed on disk when the segment gets `finalized`.
pub struct SegmentWriter {
pub(crate) max_doc: DocId,
pub(crate) ctx: IndexingContext,
pub(crate) per_field_postings_writers: PerFieldPostingsWriter,
pub(crate) segment_serializer: SegmentSerializer,
pub(crate) fast_field_writers: FastFieldsWriter,
pub(crate) fieldnorms_writer: FieldNormsWriter,
pub(crate) doc_opstamps: Vec<Opstamp>,
per_field_text_analyzers: Vec<TextAnalyzer>,
term_buffer: Term,
schema: Schema,
}
impl SegmentWriter {
/// Creates a new `SegmentWriter`
///
/// The arguments are defined as follows
///
/// - memory_budget: most of the segment writer data (terms, and postings lists recorders)
/// is stored in a memory arena. This makes it possible for the user to define
/// the flushing behavior as a memory limit.
/// - segment: The segment being written
/// - schema
pub fn for_segment(
memory_budget_in_bytes: usize,
segment: Segment,
schema: Schema,
) -> crate::Result<SegmentWriter> {
let tokenizer_manager = segment.index().tokenizers().clone();
let table_size = compute_initial_table_size(memory_budget_in_bytes)?;
let segment_serializer = SegmentSerializer::for_segment(segment, false)?;
let per_field_postings_writers = PerFieldPostingsWriter::for_schema(&schema);
let per_field_text_analyzers = schema
.fields()
.map(|(_, field_entry): (_, &FieldEntry)| {
let text_options = match field_entry.field_type() {
FieldType::Str(ref text_options) => text_options.get_indexing_options(),
FieldType::JsonObject(ref json_object_options) => {
json_object_options.get_text_indexing_options()
}
_ => None,
};
text_options
.and_then(|text_index_option| {
let tokenizer_name = &text_index_option.tokenizer();
tokenizer_manager.get(tokenizer_name)
})
.unwrap_or_default()
})
.collect();
Ok(SegmentWriter {
max_doc: 0,
ctx: IndexingContext::new(table_size),
per_field_postings_writers,
fieldnorms_writer: FieldNormsWriter::for_schema(&schema),
segment_serializer,
fast_field_writers: FastFieldsWriter::from_schema(&schema),
doc_opstamps: Vec::with_capacity(1_000),
per_field_text_analyzers,
term_buffer: Term::new(),
schema,
})
}
/// Lay on disk the current content of the `SegmentWriter`
///
/// Finalize consumes the `SegmentWriter`, so that it cannot
/// be used afterwards.
pub fn finalize(mut self) -> crate::Result<Vec<u64>> {
self.fieldnorms_writer.fill_up_to_max_doc(self.max_doc);
let mapping: Option<DocIdMapping> = self
.segment_serializer
.segment()
.index()
.settings()
.sort_by_field
.clone()
.map(|sort_by_field| get_doc_id_mapping_from_field(sort_by_field, &self))
.transpose()?;
remap_and_write(
&self.per_field_postings_writers,
self.ctx,
&self.fast_field_writers,
&self.fieldnorms_writer,
&self.schema,
self.segment_serializer,
mapping.as_ref(),
)?;
let doc_opstamps = remap_doc_opstamps(self.doc_opstamps, mapping.as_ref());
Ok(doc_opstamps)
}
pub fn mem_usage(&self) -> usize {
self.ctx.mem_usage()
+ self.fieldnorms_writer.mem_usage()
+ self.fast_field_writers.mem_usage()
+ self.segment_serializer.mem_usage()
}
fn index_document(&mut self, doc: &Document) -> crate::Result<()> {
let doc_id = self.max_doc;
for (field, values) in doc.get_sorted_field_values() {
let field_entry = self.schema.get_field_entry(field);
let make_schema_error = || {
crate::TantivyError::SchemaError(format!(
"Expected a {:?} for field {:?}",
field_entry.field_type().value_type(),
field_entry.name()
))
};
if !field_entry.is_indexed() {
continue;
}
let (term_buffer, ctx) = (&mut self.term_buffer, &mut self.ctx);
let postings_writer: &mut dyn PostingsWriter =
self.per_field_postings_writers.get_for_field_mut(field);
term_buffer.set_field(field_entry.field_type().value_type(), field);
match *field_entry.field_type() {
FieldType::Facet(_) => {
for value in values {
let facet = value.as_facet().ok_or_else(make_schema_error)?;
let facet_str = facet.encoded_str();
let mut unordered_term_id_opt = None;
FacetTokenizer
.token_stream(facet_str)
.process(&mut |token| {
term_buffer.set_text(&token.text);
let unordered_term_id =
postings_writer.subscribe(doc_id, 0u32, term_buffer, ctx);
// TODO pass indexing context directly in subscribe function
unordered_term_id_opt = Some(unordered_term_id);
});
if let Some(unordered_term_id) = unordered_term_id_opt {
self.fast_field_writers
.get_term_id_writer_mut(field)
.expect("writer for facet missing")
.add_val(unordered_term_id);
}
}
}
FieldType::Str(_) => {
let mut token_streams: Vec<BoxTokenStream> = vec![];
let mut offsets = vec![];
let mut total_offset = 0;
for value in values {
match value {
Value::PreTokStr(tok_str) => {
offsets.push(total_offset);
if let Some(last_token) = tok_str.tokens.last() {
total_offset += last_token.offset_to;
}
token_streams
.push(PreTokenizedStream::from(tok_str.clone()).into());
}
Value::Str(ref text) => {
let text_analyzer =
&self.per_field_text_analyzers[field.field_id() as usize];
offsets.push(total_offset);
total_offset += text.len();
token_streams.push(text_analyzer.token_stream(text));
}
_ => (),
}
}
let mut indexing_position = IndexingPosition::default();
for mut token_stream in token_streams {
assert_eq!(term_buffer.as_slice().len(), 5);
postings_writer.index_text(
doc_id,
&mut *token_stream,
term_buffer,
ctx,
&mut indexing_position,
self.fast_field_writers.get_term_id_writer_mut(field),
);
}
if field_entry.has_fieldnorms() {
self.fieldnorms_writer
.record(doc_id, field, indexing_position.num_tokens);
}
}
FieldType::U64(_) => {
for value in values {
let u64_val = value.as_u64().ok_or_else(make_schema_error)?;
term_buffer.set_u64(u64_val);
postings_writer.subscribe(doc_id, 0u32, term_buffer, ctx);
}
}
FieldType::Date(_) => {
for value in values {
let date_val = value.as_date().ok_or_else(make_schema_error)?;
term_buffer.set_u64(date_val.to_u64());
postings_writer.subscribe(doc_id, 0u32, term_buffer, ctx);
}
}
FieldType::I64(_) => {
for value in values {
let i64_val = value.as_i64().ok_or_else(make_schema_error)?;
term_buffer.set_i64(i64_val);
postings_writer.subscribe(doc_id, 0u32, term_buffer, ctx);
}
}
FieldType::F64(_) => {
for value in values {
let f64_val = value.as_f64().ok_or_else(make_schema_error)?;
term_buffer.set_f64(f64_val);
postings_writer.subscribe(doc_id, 0u32, term_buffer, ctx);
}
}
FieldType::Bool(_) => {
for value in values {
let bool_val = value.as_bool().ok_or_else(make_schema_error)?;
term_buffer.set_bool(bool_val);
postings_writer.subscribe(doc_id, 0u32, term_buffer, ctx);
}
}
FieldType::Bytes(_) => {
for value in values {
let bytes = value.as_bytes().ok_or_else(make_schema_error)?;
term_buffer.set_bytes(bytes);
postings_writer.subscribe(doc_id, 0u32, term_buffer, ctx);
}
}
FieldType::JsonObject(_) => {
let text_analyzer = &self.per_field_text_analyzers[field.field_id() as usize];
let json_values_it = values
.iter()
.map(|value| value.as_json().ok_or_else(make_schema_error));
index_json_values(
doc_id,
json_values_it,
text_analyzer,
term_buffer,
postings_writer,
ctx,
)?;
}
}
}
Ok(())
}
/// Indexes a new document
///
/// As a user, you should rather use `IndexWriter`'s add_document.
pub fn add_document(&mut self, add_operation: AddOperation) -> crate::Result<()> {
let doc = add_operation.document;
self.doc_opstamps.push(add_operation.opstamp);
self.fast_field_writers.add_document(&doc);
self.index_document(&doc)?;
let prepared_doc = prepare_doc_for_store(doc, &self.schema);
let doc_writer = self.segment_serializer.get_store_writer();
doc_writer.store(&prepared_doc)?;
self.max_doc += 1;
Ok(())
}
/// Max doc is
/// - the number of documents in the segment assuming there is no deletes
/// - the maximum document id (including deleted documents) + 1
///
/// Currently, **tantivy** does not handle deletes anyway,
/// so `max_doc == num_docs`
pub fn max_doc(&self) -> u32 {
self.max_doc
}
/// Number of documents in the index.
/// Deleted documents are not counted.
///
/// Currently, **tantivy** does not handle deletes anyway,
/// so `max_doc == num_docs`
#[allow(dead_code)]
pub fn num_docs(&self) -> u32 {
self.max_doc
}
}
/// This method is used as a trick to workaround the borrow checker
/// Writes a view of a segment by pushing information
/// to the `SegmentSerializer`.
///
/// `doc_id_map` is used to map to the new doc_id order.
fn remap_and_write(
per_field_postings_writers: &PerFieldPostingsWriter,
ctx: IndexingContext,
fast_field_writers: &FastFieldsWriter,
fieldnorms_writer: &FieldNormsWriter,
schema: &Schema,
mut serializer: SegmentSerializer,
doc_id_map: Option<&DocIdMapping>,
) -> crate::Result<()> {
debug!("remap-and-write");
if let Some(fieldnorms_serializer) = serializer.extract_fieldnorms_serializer() {
fieldnorms_writer.serialize(fieldnorms_serializer, doc_id_map)?;
}
let fieldnorm_data = serializer
.segment()
.open_read(SegmentComponent::FieldNorms)?;
let fieldnorm_readers = FieldNormReaders::open(fieldnorm_data)?;
let term_ord_map = serialize_postings(
ctx,
per_field_postings_writers,
fieldnorm_readers,
doc_id_map,
schema,
serializer.get_postings_serializer(),
)?;
debug!("fastfield-serialize");
fast_field_writers.serialize(
serializer.get_fast_field_serializer(),
&term_ord_map,
doc_id_map,
)?;
debug!("resort-docstore");
// finalize temp docstore and create version, which reflects the doc_id_map
if let Some(doc_id_map) = doc_id_map {
let store_write = serializer
.segment_mut()
.open_write(SegmentComponent::Store)?;
let compressor = serializer.segment().index().settings().docstore_compression;
let block_size = serializer.segment().index().settings().docstore_blocksize;
let old_store_writer = std::mem::replace(
&mut serializer.store_writer,
StoreWriter::new(store_write, compressor, block_size)?,
);
old_store_writer.close()?;
let store_read = StoreReader::open(
serializer
.segment()
.open_read(SegmentComponent::TempStore)?,
50,
)?;
for old_doc_id in doc_id_map.iter_old_doc_ids() {
let doc_bytes = store_read.get_document_bytes(old_doc_id)?;
serializer.get_store_writer().store_bytes(&doc_bytes)?;
}
}
debug!("serializer-close");
serializer.close()?;
Ok(())
}
/// Prepares Document for being stored in the document store
///
/// Method transforms PreTokenizedString values into String
/// values.
pub fn prepare_doc_for_store(doc: Document, schema: &Schema) -> Document {
Document::from(
doc.into_iter()
.filter(|field_value| schema.get_field_entry(field_value.field()).is_stored())
.map(|field_value| match field_value {
FieldValue {
field,
value: Value::PreTokStr(pre_tokenized_text),
} => FieldValue {
field,
value: Value::Str(pre_tokenized_text.text),
},
field_value => field_value,
})
.collect::<Vec<_>>(),
)
}
#[cfg(test)]
mod tests {
use super::compute_initial_table_size;
use crate::collector::Count;
use crate::indexer::json_term_writer::JsonTermWriter;
use crate::postings::TermInfo;
use crate::query::PhraseQuery;
use crate::schema::{IndexRecordOption, Schema, Type, STORED, STRING, TEXT};
use crate::time::format_description::well_known::Rfc3339;
use crate::time::OffsetDateTime;
use crate::tokenizer::{PreTokenizedString, Token};
use crate::{DateTime, DocAddress, DocSet, Document, Index, Postings, Term, TERMINATED};
#[test]
fn test_hashmap_size() {
assert_eq!(compute_initial_table_size(100_000).unwrap(), 1 << 11);
assert_eq!(compute_initial_table_size(1_000_000).unwrap(), 1 << 14);
assert_eq!(compute_initial_table_size(10_000_000).unwrap(), 1 << 17);
assert_eq!(compute_initial_table_size(1_000_000_000).unwrap(), 1 << 19);
assert_eq!(compute_initial_table_size(4_000_000_000).unwrap(), 1 << 19);
}
#[test]
fn test_prepare_for_store() {
let mut schema_builder = Schema::builder();
let text_field = schema_builder.add_text_field("title", TEXT | STORED);
let schema = schema_builder.build();
let mut doc = Document::default();
let pre_tokenized_text = PreTokenizedString {
text: String::from("A"),
tokens: vec![Token {
offset_from: 0,
offset_to: 1,
position: 0,
text: String::from("A"),
position_length: 1,
}],
};
doc.add_pre_tokenized_text(text_field, pre_tokenized_text);
doc.add_text(text_field, "title");
let prepared_doc = super::prepare_doc_for_store(doc, &schema);
assert_eq!(prepared_doc.field_values().len(), 2);
assert_eq!(prepared_doc.field_values()[0].value().as_text(), Some("A"));
assert_eq!(
prepared_doc.field_values()[1].value().as_text(),
Some("title")
);
}
#[test]
fn test_json_indexing() {
let mut schema_builder = Schema::builder();
let json_field = schema_builder.add_json_field("json", STORED | TEXT);
let schema = schema_builder.build();
let json_val: serde_json::Map<String, serde_json::Value> = serde_json::from_str(
r#"{
"toto": "titi",
"float": -0.2,
"bool": true,
"unsigned": 1,
"signed": -2,
"complexobject": {
"field.with.dot": 1
},
"date": "1985-04-12T23:20:50.52Z",
"my_arr": [2, 3, {"my_key": "two tokens"}, 4]
}"#,
)
.unwrap();
let doc = doc!(json_field=>json_val.clone());
let index = Index::create_in_ram(schema.clone());
let mut writer = index.writer_for_tests().unwrap();
writer.add_document(doc).unwrap();
writer.commit().unwrap();
let reader = index.reader().unwrap();
let searcher = reader.searcher();
let doc = searcher
.doc(DocAddress {
segment_ord: 0u32,
doc_id: 0u32,
})
.unwrap();
let serdeser_json_val = serde_json::from_str::<serde_json::Map<String, serde_json::Value>>(
&schema.to_json(&doc),
)
.unwrap()
.get("json")
.unwrap()[0]
.as_object()
.unwrap()
.clone();
assert_eq!(json_val, serdeser_json_val);
let segment_reader = searcher.segment_reader(0u32);
let inv_idx = segment_reader.inverted_index(json_field).unwrap();
let term_dict = inv_idx.terms();
let mut term = Term::new();
term.set_field(Type::Json, json_field);
let mut term_stream = term_dict.stream().unwrap();
let mut json_term_writer = JsonTermWriter::wrap(&mut term);
json_term_writer.push_path_segment("bool");
json_term_writer.set_fast_value(true);
assert!(term_stream.advance());
assert_eq!(term_stream.key(), json_term_writer.term().value_bytes());
json_term_writer.pop_path_segment();
json_term_writer.push_path_segment("complexobject");
json_term_writer.push_path_segment("field.with.dot");
json_term_writer.set_fast_value(1u64);
assert!(term_stream.advance());
assert_eq!(term_stream.key(), json_term_writer.term().value_bytes());
json_term_writer.pop_path_segment();
json_term_writer.pop_path_segment();
json_term_writer.push_path_segment("date");
json_term_writer.set_fast_value(DateTime::from_utc(
OffsetDateTime::parse("1985-04-12T23:20:50.52Z", &Rfc3339).unwrap(),
));
assert!(term_stream.advance());
assert_eq!(term_stream.key(), json_term_writer.term().value_bytes());
json_term_writer.pop_path_segment();
json_term_writer.push_path_segment("float");
json_term_writer.set_fast_value(-0.2f64);
assert!(term_stream.advance());
assert_eq!(term_stream.key(), json_term_writer.term().value_bytes());
json_term_writer.pop_path_segment();
json_term_writer.push_path_segment("my_arr");
json_term_writer.set_fast_value(2u64);
assert!(term_stream.advance());
assert_eq!(term_stream.key(), json_term_writer.term().value_bytes());
json_term_writer.set_fast_value(3u64);
assert!(term_stream.advance());
assert_eq!(term_stream.key(), json_term_writer.term().value_bytes());
json_term_writer.set_fast_value(4u64);
assert!(term_stream.advance());
assert_eq!(term_stream.key(), json_term_writer.term().value_bytes());
json_term_writer.push_path_segment("my_key");
json_term_writer.set_str("tokens");
assert!(term_stream.advance());
assert_eq!(term_stream.key(), json_term_writer.term().value_bytes());
json_term_writer.set_str("two");
assert!(term_stream.advance());
assert_eq!(term_stream.key(), json_term_writer.term().value_bytes());
json_term_writer.pop_path_segment();
json_term_writer.pop_path_segment();
json_term_writer.push_path_segment("signed");
json_term_writer.set_fast_value(-2i64);
assert!(term_stream.advance());
assert_eq!(term_stream.key(), json_term_writer.term().value_bytes());
json_term_writer.pop_path_segment();
json_term_writer.push_path_segment("toto");
json_term_writer.set_str("titi");
assert!(term_stream.advance());
assert_eq!(term_stream.key(), json_term_writer.term().value_bytes());
json_term_writer.pop_path_segment();
json_term_writer.push_path_segment("unsigned");
json_term_writer.set_fast_value(1u64);
assert!(term_stream.advance());
assert_eq!(term_stream.key(), json_term_writer.term().value_bytes());
assert!(!term_stream.advance());
}
#[test]
fn test_json_tokenized_with_position() {
let mut schema_builder = Schema::builder();
let json_field = schema_builder.add_json_field("json", STORED | TEXT);
let schema = schema_builder.build();
let mut doc = Document::default();
let json_val: serde_json::Map<String, serde_json::Value> =
serde_json::from_str(r#"{"mykey": "repeated token token"}"#).unwrap();
doc.add_json_object(json_field, json_val);
let index = Index::create_in_ram(schema);
let mut writer = index.writer_for_tests().unwrap();
writer.add_document(doc).unwrap();
writer.commit().unwrap();
let reader = index.reader().unwrap();
let searcher = reader.searcher();
let segment_reader = searcher.segment_reader(0u32);
let inv_index = segment_reader.inverted_index(json_field).unwrap();
let mut term = Term::new();
term.set_field(Type::Json, json_field);
let mut json_term_writer = JsonTermWriter::wrap(&mut term);
json_term_writer.push_path_segment("mykey");
json_term_writer.set_str("token");
let term_info = inv_index
.get_term_info(json_term_writer.term())
.unwrap()
.unwrap();
assert_eq!(
term_info,
TermInfo {
doc_freq: 1,
postings_range: 2..4,
positions_range: 2..5
}
);
let mut postings = inv_index
.read_postings(&term, IndexRecordOption::WithFreqsAndPositions)
.unwrap()
.unwrap();
assert_eq!(postings.doc(), 0);
assert_eq!(postings.term_freq(), 2);
let mut positions = Vec::new();
postings.positions(&mut positions);
assert_eq!(&positions[..], &[1, 2]);
assert_eq!(postings.advance(), TERMINATED);
}
#[test]
fn test_json_raw_no_position() {
let mut schema_builder = Schema::builder();
let json_field = schema_builder.add_json_field("json", STRING);
let schema = schema_builder.build();
let json_val: serde_json::Map<String, serde_json::Value> =
serde_json::from_str(r#"{"mykey": "two tokens"}"#).unwrap();
let doc = doc!(json_field=>json_val);
let index = Index::create_in_ram(schema);
let mut writer = index.writer_for_tests().unwrap();
writer.add_document(doc).unwrap();
writer.commit().unwrap();
let reader = index.reader().unwrap();
let searcher = reader.searcher();
let segment_reader = searcher.segment_reader(0u32);
let inv_index = segment_reader.inverted_index(json_field).unwrap();
let mut term = Term::new();
term.set_field(Type::Json, json_field);
let mut json_term_writer = JsonTermWriter::wrap(&mut term);
json_term_writer.push_path_segment("mykey");
json_term_writer.set_str("two tokens");
let term_info = inv_index
.get_term_info(json_term_writer.term())
.unwrap()
.unwrap();
assert_eq!(
term_info,
TermInfo {
doc_freq: 1,
postings_range: 0..1,
positions_range: 0..0
}
);
let mut postings = inv_index
.read_postings(&term, IndexRecordOption::WithFreqs)
.unwrap()
.unwrap();
assert_eq!(postings.doc(), 0);
assert_eq!(postings.term_freq(), 1);
let mut positions = Vec::new();
postings.positions(&mut positions);
assert_eq!(postings.advance(), TERMINATED);
}
#[test]
fn test_position_overlapping_path() {
// This test checks that we do not end up detecting phrase query due
// to several string literal in the same json object being overlapping.
let mut schema_builder = Schema::builder();
let json_field = schema_builder.add_json_field("json", TEXT);
let schema = schema_builder.build();
let json_val: serde_json::Map<String, serde_json::Value> = serde_json::from_str(
r#"{"mykey": [{"field": "hello happy tax payer"}, {"field": "nothello"}]}"#,
)
.unwrap();
let doc = doc!(json_field=>json_val);
let index = Index::create_in_ram(schema);
let mut writer = index.writer_for_tests().unwrap();
writer.add_document(doc).unwrap();
writer.commit().unwrap();
let reader = index.reader().unwrap();
let searcher = reader.searcher();
let mut term = Term::new();
term.set_field(Type::Json, json_field);
let mut json_term_writer = JsonTermWriter::wrap(&mut term);
json_term_writer.push_path_segment("mykey");
json_term_writer.push_path_segment("field");
json_term_writer.set_str("hello");
let hello_term = json_term_writer.term().clone();
json_term_writer.set_str("nothello");
let nothello_term = json_term_writer.term().clone();
json_term_writer.set_str("happy");
let happy_term = json_term_writer.term().clone();
let phrase_query = PhraseQuery::new(vec![hello_term, happy_term.clone()]);
assert_eq!(searcher.search(&phrase_query, &Count).unwrap(), 1);
let phrase_query = PhraseQuery::new(vec![nothello_term, happy_term]);
assert_eq!(searcher.search(&phrase_query, &Count).unwrap(), 0);
}
}