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https://github.com/meilisearch/MeiliSearch
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Merge #493
493: Use smartstring to store the external id in our hashmap r=Kerollmops a=irevoire We need to store all the external id (primary key) in a hashmap associated to their internal id. The smartstring remove heap allocation / memory usage and should improve the cache locality. I ran the benchmarks to measure the impact of this PR on the indexing time. I think we should merge it whatever happens thought because it'll decrease the memory consumption. --------- This improve really sliiiiiightly the performances but improve the memory usage thus it should be merged. ``` group indexing_main_6b073738 indexing_use-smartsring_3f343511 ----- ---------------------- -------------------------------- indexing/Indexing geo_point 1.02 25.2±0.20s ? ?/sec 1.00 24.8±0.13s ? ?/sec indexing/Indexing movies in three batches 1.00 18.2±0.10s ? ?/sec 1.00 18.2±0.23s ? ?/sec indexing/Indexing movies with default settings 1.00 17.5±0.09s ? ?/sec 1.01 17.7±0.11s ? ?/sec indexing/Indexing songs in three batches with default settings 1.00 68.3±1.01s ? ?/sec 1.00 68.0±0.95s ? ?/sec indexing/Indexing songs with default settings 1.00 63.2±0.78s ? ?/sec 1.00 63.0±0.58s ? ?/sec indexing/Indexing songs without any facets 1.02 59.6±1.00s ? ?/sec 1.00 58.5±1.03s ? ?/sec indexing/Indexing songs without faceted numbers 1.00 62.8±0.38s ? ?/sec 1.00 62.6±1.02s ? ?/sec indexing/Indexing wiki 1.01 1009.2±25.25s ? ?/sec 1.00 998.1±11.27s ? ?/sec indexing/Indexing wiki in three batches 1.01 1142.0±9.97s ? ?/sec 1.00 1134.4±11.21s ? ?/sec ``` Co-authored-by: Tamo <tamo@meilisearch.com>
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commit
7791ef90e7
@ -32,6 +32,7 @@ serde_json = { version = "1.0.79", features = ["preserve_order"] }
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slice-group-by = "0.3.0"
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smallstr = { version = "0.3.0", features = ["serde"] }
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smallvec = "1.8.0"
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smartstring = "1.0.1"
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tempfile = "3.3.0"
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time = { version = "0.3.7", features = ["serde-well-known", "formatting", "parsing", "macros"] }
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uuid = { version = "0.8.2", features = ["v4"] }
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@ -1109,8 +1109,11 @@ mod tests {
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let mut big_object = HashMap::new();
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big_object.insert(S("id"), "wow");
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let content: String =
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(0..=u16::MAX).into_iter().map(|p| p.to_string()).reduce(|a, b| a + " " + &b).unwrap();
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let content: String = (0..=u16::MAX)
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.into_iter()
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.map(|p| p.to_string())
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.reduce(|a, b| a + " " + b.as_ref())
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.unwrap();
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big_object.insert("content".to_string(), &content);
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let mut cursor = Cursor::new(Vec::new());
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@ -11,6 +11,7 @@ use itertools::Itertools;
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use obkv::{KvReader, KvWriter};
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use roaring::RoaringBitmap;
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use serde_json::{Map, Value};
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use smartstring::SmartString;
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use super::helpers::{create_sorter, create_writer, keep_latest_obkv, merge_obkvs, MergeFn};
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use super::{IndexDocumentsMethod, IndexerConfig};
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@ -55,7 +56,8 @@ pub struct Transform<'a, 'i> {
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flattened_sorter: grenad::Sorter<MergeFn>,
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replaced_documents_ids: RoaringBitmap,
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new_documents_ids: RoaringBitmap,
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new_external_documents_ids_builder: FxHashMap<Vec<u8>, u64>,
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// To increase the cache locality and the heap usage we use smartstring.
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new_external_documents_ids_builder: FxHashMap<SmartString<smartstring::Compact>, u64>,
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documents_count: usize,
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}
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@ -254,10 +256,7 @@ impl<'a, 'i> Transform<'a, 'i> {
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None => {
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// if the document has already been inserted in this
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// batch we need to get its docid
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match self
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.new_external_documents_ids_builder
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.entry(external_id.as_bytes().to_vec())
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{
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match self.new_external_documents_ids_builder.entry(external_id.into()) {
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Entry::Occupied(entry) => (*entry.get() as u32, false),
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// if the document has never been encountered we give it a new docid
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// and push this new docid to the external documents ids builder
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