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re-enable examples (#1860)
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219
examples/warmer.rs
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219
examples/warmer.rs
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use std::cmp::Reverse;
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use std::collections::{HashMap, HashSet};
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use std::sync::{Arc, RwLock, Weak};
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use tantivy::collector::TopDocs;
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use tantivy::query::QueryParser;
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use tantivy::schema::{Schema, FAST, TEXT};
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use tantivy::{
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doc, DocAddress, DocId, Index, IndexReader, Opstamp, Searcher, SearcherGeneration, SegmentId,
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SegmentReader, Warmer,
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};
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// This example shows how warmers can be used to
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// load a values from an external sources using the Warmer API.
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//
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// In this example, we assume an e-commerce search engine.
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type ProductId = u64;
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/// Price
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type Price = u32;
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pub trait PriceFetcher: Send + Sync + 'static {
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fn fetch_prices(&self, product_ids: &[ProductId]) -> Vec<Price>;
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}
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struct DynamicPriceColumn {
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field: String,
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price_cache: RwLock<HashMap<(SegmentId, Option<Opstamp>), Arc<Vec<Price>>>>,
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price_fetcher: Box<dyn PriceFetcher>,
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}
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impl DynamicPriceColumn {
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pub fn with_product_id_field<T: PriceFetcher>(field: String, price_fetcher: T) -> Self {
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DynamicPriceColumn {
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field,
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price_cache: Default::default(),
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price_fetcher: Box::new(price_fetcher),
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}
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}
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pub fn price_for_segment(&self, segment_reader: &SegmentReader) -> Option<Arc<Vec<Price>>> {
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let segment_key = (segment_reader.segment_id(), segment_reader.delete_opstamp());
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self.price_cache.read().unwrap().get(&segment_key).cloned()
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}
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}
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impl Warmer for DynamicPriceColumn {
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fn warm(&self, searcher: &Searcher) -> tantivy::Result<()> {
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for segment in searcher.segment_readers() {
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let key = (segment.segment_id(), segment.delete_opstamp());
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let product_id_reader = segment.fast_fields().u64(&self.field)?;
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let product_ids: Vec<ProductId> = segment
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.doc_ids_alive()
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.map(|doc| product_id_reader.get_val(doc))
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.collect();
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let mut prices_it = self.price_fetcher.fetch_prices(&product_ids).into_iter();
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let mut price_vals: Vec<Price> = Vec::new();
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for doc in 0..segment.max_doc() {
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if segment.is_deleted(doc) {
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price_vals.push(0);
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} else {
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price_vals.push(prices_it.next().unwrap())
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}
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}
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self.price_cache
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.write()
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.unwrap()
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.insert(key, Arc::new(price_vals));
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}
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Ok(())
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}
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fn garbage_collect(&self, live_generations: &[&SearcherGeneration]) {
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let live_segment_id_and_delete_ops: HashSet<(SegmentId, Option<Opstamp>)> =
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live_generations
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.iter()
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.flat_map(|gen| gen.segments())
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.map(|(&segment_id, &opstamp)| (segment_id, opstamp))
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.collect();
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let mut price_cache_wrt = self.price_cache.write().unwrap();
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// let price_cache = std::mem::take(&mut *price_cache_wrt);
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// Drain would be nicer here.
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*price_cache_wrt = std::mem::take(&mut *price_cache_wrt)
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.into_iter()
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.filter(|(seg_id_and_op, _)| !live_segment_id_and_delete_ops.contains(seg_id_and_op))
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.collect();
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}
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}
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/// For the sake of this example, the table is just an editable HashMap behind a RwLock.
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/// This map represents a map (ProductId -> Price)
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///
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/// In practise, it could be fetching things from an external service, like a SQL table.
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#[derive(Default, Clone)]
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pub struct ExternalPriceTable {
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prices: Arc<RwLock<HashMap<ProductId, Price>>>,
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}
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impl ExternalPriceTable {
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pub fn update_price(&self, product_id: ProductId, price: Price) {
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let mut prices_wrt = self.prices.write().unwrap();
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prices_wrt.insert(product_id, price);
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}
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}
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impl PriceFetcher for ExternalPriceTable {
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fn fetch_prices(&self, product_ids: &[ProductId]) -> Vec<Price> {
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let prices_read = self.prices.read().unwrap();
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product_ids
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.iter()
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.map(|product_id| prices_read.get(product_id).cloned().unwrap_or(0))
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.collect()
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}
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}
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fn main() -> tantivy::Result<()> {
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// Declaring our schema.
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let mut schema_builder = Schema::builder();
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// The product id is assumed to be a primary id for our external price source.
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let product_id = schema_builder.add_u64_field("product_id", FAST);
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let text = schema_builder.add_text_field("text", TEXT);
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let schema: Schema = schema_builder.build();
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let price_table = ExternalPriceTable::default();
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let price_dynamic_column = Arc::new(DynamicPriceColumn::with_product_id_field(
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"product_id".to_string(),
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price_table.clone(),
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));
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price_table.update_price(OLIVE_OIL, 12);
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price_table.update_price(GLOVES, 13);
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price_table.update_price(SNEAKERS, 80);
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const OLIVE_OIL: ProductId = 323423;
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const GLOVES: ProductId = 3966623;
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const SNEAKERS: ProductId = 23222;
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let index = Index::create_in_ram(schema);
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let mut writer = index.writer_with_num_threads(1, 10_000_000)?;
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writer.add_document(doc!(product_id=>OLIVE_OIL, text=>"cooking olive oil from greece"))?;
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writer.add_document(doc!(product_id=>GLOVES, text=>"kitchen gloves, perfect for cooking"))?;
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writer.add_document(doc!(product_id=>SNEAKERS, text=>"uber sweet sneakers"))?;
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writer.commit()?;
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let warmers: Vec<Weak<dyn Warmer>> = vec![Arc::downgrade(
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&(price_dynamic_column.clone() as Arc<dyn Warmer>),
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)];
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let reader: IndexReader = index.reader_builder().warmers(warmers).try_into()?;
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reader.reload()?;
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let query_parser = QueryParser::for_index(&index, vec![text]);
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let query = query_parser.parse_query("cooking")?;
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let searcher = reader.searcher();
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let score_by_price = move |segment_reader: &SegmentReader| {
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let price = price_dynamic_column
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.price_for_segment(segment_reader)
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.unwrap();
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move |doc_id: DocId| Reverse(price[doc_id as usize])
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};
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let most_expensive_first = TopDocs::with_limit(10).custom_score(score_by_price);
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let hits = searcher.search(&query, &most_expensive_first)?;
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assert_eq!(
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&hits,
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&[
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(
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Reverse(12u32),
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DocAddress {
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segment_ord: 0,
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doc_id: 0u32
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}
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),
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(
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Reverse(13u32),
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DocAddress {
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segment_ord: 0,
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doc_id: 1u32
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}
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),
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]
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);
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// Olive oil just got more expensive!
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price_table.update_price(OLIVE_OIL, 15);
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// The price update are directly reflected on `reload`.
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//
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// Be careful here though!...
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// You may have spotted that we are still using the same `Searcher`.
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//
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// It is up to the `Warmer` implementer to decide how
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// to control this behavior.
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reader.reload()?;
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let hits_with_new_prices = searcher.search(&query, &most_expensive_first)?;
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assert_eq!(
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&hits_with_new_prices,
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&[
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(
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Reverse(13u32),
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DocAddress {
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segment_ord: 0,
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doc_id: 1u32
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}
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),
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(
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Reverse(15u32),
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DocAddress {
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segment_ord: 0,
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doc_id: 0u32
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}
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),
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]
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);
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Ok(())
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}
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