Merge pull request #99 from meilisearch/infos-missing-db-names

Add missing databases to the infos subcommand
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Clément Renault 2021-03-08 18:52:08 +01:00 committed by GitHub
commit 22f20f0c29
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@ -19,6 +19,8 @@ const WORD_DOCIDS_DB_NAME: &str = "word-docids";
const WORD_PREFIX_DOCIDS_DB_NAME: &str = "word-prefix-docids"; const WORD_PREFIX_DOCIDS_DB_NAME: &str = "word-prefix-docids";
const DOCID_WORD_POSITIONS_DB_NAME: &str = "docid-word-positions"; const DOCID_WORD_POSITIONS_DB_NAME: &str = "docid-word-positions";
const WORD_PAIR_PROXIMITY_DOCIDS_DB_NAME: &str = "word-pair-proximity-docids"; const WORD_PAIR_PROXIMITY_DOCIDS_DB_NAME: &str = "word-pair-proximity-docids";
const FACET_FIELD_ID_VALUE_DOCIDS_NAME: &str = "facet-field-id-value-docids";
const FIELD_ID_DOCID_FACET_VALUES_NAME: &str = "field-id-docid-facet-values";
const WORD_PREFIX_PAIR_PROXIMITY_DOCIDS_DB_NAME: &str = "word-prefix-pair-proximity-docids"; const WORD_PREFIX_PAIR_PROXIMITY_DOCIDS_DB_NAME: &str = "word-prefix-pair-proximity-docids";
const DOCUMENTS_DB_NAME: &str = "documents"; const DOCUMENTS_DB_NAME: &str = "documents";
@ -29,6 +31,8 @@ const ALL_DATABASE_NAMES: &[&str] = &[
DOCID_WORD_POSITIONS_DB_NAME, DOCID_WORD_POSITIONS_DB_NAME,
WORD_PAIR_PROXIMITY_DOCIDS_DB_NAME, WORD_PAIR_PROXIMITY_DOCIDS_DB_NAME,
WORD_PREFIX_PAIR_PROXIMITY_DOCIDS_DB_NAME, WORD_PREFIX_PAIR_PROXIMITY_DOCIDS_DB_NAME,
FACET_FIELD_ID_VALUE_DOCIDS_NAME,
FIELD_ID_DOCID_FACET_VALUES_NAME,
DOCUMENTS_DB_NAME, DOCUMENTS_DB_NAME,
]; ];
@ -110,15 +114,22 @@ enum Command {
field_name: String, field_name: String,
}, },
/// Outputs a CSV with the documents ids, words and the positions where this word appears.
DocidsWordsPositions {
/// Display the whole positions in detail.
#[structopt(long)]
full_display: bool,
/// If defined, only retrieve the documents that corresponds to these internal ids.
internal_documents_ids: Vec<u32>,
},
/// Outputs some facets statistics for the given facet name. /// Outputs some facets statistics for the given facet name.
FacetStats { FacetStats {
/// The field name in the document. /// The field name in the document.
field_name: String, field_name: String,
}, },
/// Outputs the total size of all the docid-word-positions keys and values.
TotalDocidWordPositionsSize,
/// Outputs the average number of *different* words by document. /// Outputs the average number of *different* words by document.
AverageNumberOfWordsByDoc, AverageNumberOfWordsByDoc,
@ -132,10 +143,12 @@ enum Command {
database: String, database: String,
}, },
/// Outputs the size in bytes of the specified database. /// Outputs the size in bytes of the specified databases names.
SizeOfDatabase { SizeOfDatabase {
/// The name of the database to measure the size of, if not specified it's equivalent
/// to specifying all the databases names.
#[structopt(possible_values = ALL_DATABASE_NAMES)] #[structopt(possible_values = ALL_DATABASE_NAMES)]
database: String, databases: Vec<String>,
}, },
/// Outputs a CSV with the proximities for the two specidied words and /// Outputs a CSV with the proximities for the two specidied words and
@ -208,13 +221,15 @@ fn main() -> anyhow::Result<()> {
FacetValuesDocids { full_display, field_name } => { FacetValuesDocids { full_display, field_name } => {
facet_values_docids(&index, &rtxn, !full_display, field_name) facet_values_docids(&index, &rtxn, !full_display, field_name)
}, },
DocidsWordsPositions { full_display, internal_documents_ids } => {
docids_words_positions(&index, &rtxn, !full_display, internal_documents_ids)
},
FacetStats { field_name } => facet_stats(&index, &rtxn, field_name), FacetStats { field_name } => facet_stats(&index, &rtxn, field_name),
TotalDocidWordPositionsSize => total_docid_word_positions_size(&index, &rtxn),
AverageNumberOfWordsByDoc => average_number_of_words_by_doc(&index, &rtxn), AverageNumberOfWordsByDoc => average_number_of_words_by_doc(&index, &rtxn),
AverageNumberOfPositionsByWord => { AverageNumberOfPositionsByWord => {
average_number_of_positions_by_word(&index, &rtxn) average_number_of_positions_by_word(&index, &rtxn)
}, },
SizeOfDatabase { database } => size_of_database(&index, &rtxn, &database), SizeOfDatabase { databases } => size_of_databases(&index, &rtxn, databases),
DatabaseStats { database } => database_stats(&index, &rtxn, &database), DatabaseStats { database } => database_stats(&index, &rtxn, &database),
WordPairProximitiesDocids { full_display, word1, word2 } => { WordPairProximitiesDocids { full_display, word1, word2 } => {
word_pair_proximities_docids(&index, &rtxn, !full_display, word1, word2) word_pair_proximities_docids(&index, &rtxn, !full_display, word1, word2)
@ -525,6 +540,39 @@ fn facet_values_docids(index: &Index, rtxn: &heed::RoTxn, debug: bool, field_nam
Ok(wtr.flush()?) Ok(wtr.flush()?)
} }
fn docids_words_positions(
index: &Index,
rtxn: &heed::RoTxn,
debug: bool,
internal_ids: Vec<u32>,
) -> anyhow::Result<()>
{
let stdout = io::stdout();
let mut wtr = csv::Writer::from_writer(stdout.lock());
wtr.write_record(&["document_id", "word", "positions"])?;
let iter: Box<dyn Iterator<Item = _>> = if internal_ids.is_empty() {
Box::new(index.docid_word_positions.iter(rtxn)?)
} else {
let vec: heed::Result<Vec<_>> = internal_ids.into_iter().map(|id| {
index.docid_word_positions.prefix_iter(rtxn, &(id, ""))
}).collect();
Box::new(vec?.into_iter().flatten())
};
for result in iter {
let ((id, word), positions) = result?;
let positions = if debug {
format!("{:?}", positions)
} else {
format!("{:?}", positions.iter().collect::<Vec<_>>())
};
wtr.write_record(&[&id.to_string(), word, &positions])?;
}
Ok(wtr.flush()?)
}
fn facet_stats(index: &Index, rtxn: &heed::RoTxn, field_name: String) -> anyhow::Result<()> { fn facet_stats(index: &Index, rtxn: &heed::RoTxn, field_name: String) -> anyhow::Result<()> {
let fields_ids_map = index.fields_ids_map(&rtxn)?; let fields_ids_map = index.fields_ids_map(&rtxn)?;
let faceted_fields = index.faceted_fields_ids(&rtxn)?; let faceted_fields = index.faceted_fields_ids(&rtxn)?;
@ -620,28 +668,6 @@ fn export_documents(index: &Index, rtxn: &heed::RoTxn, internal_ids: Vec<u32>) -
Ok(()) Ok(())
} }
fn total_docid_word_positions_size(index: &Index, rtxn: &heed::RoTxn) -> anyhow::Result<()> {
use heed::types::ByteSlice;
let mut total_key_size = 0;
let mut total_val_size = 0;
let mut count = 0;
let iter = index.docid_word_positions.as_polymorph().iter::<_, ByteSlice, ByteSlice>(rtxn)?;
for result in iter {
let (key, val) = result?;
total_key_size += key.len();
total_val_size += val.len();
count += 1;
}
println!("number of keys: {}", count);
println!("total key size: {}", total_key_size);
println!("total value size: {}", total_val_size);
Ok(())
}
fn average_number_of_words_by_doc(index: &Index, rtxn: &heed::RoTxn) -> anyhow::Result<()> { fn average_number_of_words_by_doc(index: &Index, rtxn: &heed::RoTxn) -> anyhow::Result<()> {
use heed::types::DecodeIgnore; use heed::types::DecodeIgnore;
use milli::{DocumentId, BEU32StrCodec}; use milli::{DocumentId, BEU32StrCodec};
@ -703,16 +729,25 @@ fn average_number_of_positions_by_word(index: &Index, rtxn: &heed::RoTxn) -> any
Ok(()) Ok(())
} }
fn size_of_database(index: &Index, rtxn: &heed::RoTxn, name: &str) -> anyhow::Result<()> { fn size_of_databases(index: &Index, rtxn: &heed::RoTxn, names: Vec<String>) -> anyhow::Result<()> {
use heed::types::ByteSlice; use heed::types::ByteSlice;
let database = match name { let names = if names.is_empty() {
ALL_DATABASE_NAMES.iter().map(|s| s.to_string()).collect()
} else {
names
};
for name in names {
let database = match name.as_str() {
MAIN_DB_NAME => &index.main, MAIN_DB_NAME => &index.main,
WORD_PREFIX_DOCIDS_DB_NAME => index.word_prefix_docids.as_polymorph(), WORD_PREFIX_DOCIDS_DB_NAME => index.word_prefix_docids.as_polymorph(),
WORD_DOCIDS_DB_NAME => index.word_docids.as_polymorph(), WORD_DOCIDS_DB_NAME => index.word_docids.as_polymorph(),
DOCID_WORD_POSITIONS_DB_NAME => index.docid_word_positions.as_polymorph(), DOCID_WORD_POSITIONS_DB_NAME => index.docid_word_positions.as_polymorph(),
WORD_PAIR_PROXIMITY_DOCIDS_DB_NAME => index.word_pair_proximity_docids.as_polymorph(), WORD_PAIR_PROXIMITY_DOCIDS_DB_NAME => index.word_pair_proximity_docids.as_polymorph(),
WORD_PREFIX_PAIR_PROXIMITY_DOCIDS_DB_NAME => index.word_prefix_pair_proximity_docids.as_polymorph(), WORD_PREFIX_PAIR_PROXIMITY_DOCIDS_DB_NAME => index.word_prefix_pair_proximity_docids.as_polymorph(),
FACET_FIELD_ID_VALUE_DOCIDS_NAME => index.facet_field_id_value_docids.as_polymorph(),
FIELD_ID_DOCID_FACET_VALUES_NAME => index.field_id_docid_facet_values.as_polymorph(),
DOCUMENTS_DB_NAME => index.documents.as_polymorph(), DOCUMENTS_DB_NAME => index.documents.as_polymorph(),
unknown => anyhow::bail!("unknown database {:?}", unknown), unknown => anyhow::bail!("unknown database {:?}", unknown),
}; };
@ -726,9 +761,10 @@ fn size_of_database(index: &Index, rtxn: &heed::RoTxn, name: &str) -> anyhow::Re
} }
println!("The {} database weigh:", name); println!("The {} database weigh:", name);
println!("\ttotal key size: {} bytes", key_size); println!("\ttotal key size: {}", Byte::from(key_size).get_appropriate_unit(true));
println!("\ttotal val size: {} bytes", val_size); println!("\ttotal val size: {}", Byte::from(val_size).get_appropriate_unit(true));
println!("\ttotal size: {} bytes", key_size + val_size); println!("\ttotal size: {}", Byte::from(key_size + val_size).get_appropriate_unit(true));
}
Ok(()) Ok(())
} }
@ -782,9 +818,9 @@ fn database_stats(index: &Index, rtxn: &heed::RoTxn, name: &str) -> anyhow::Resu
println!("\tminimum: {}", minimum); println!("\tminimum: {}", minimum);
println!("\tmaximum: {}", maximum); println!("\tmaximum: {}", maximum);
println!("\taverage: {}", sum as f64 / count as f64); println!("\taverage: {}", sum as f64 / count as f64);
println!("\ttotal key size: {} bytes", key_size); println!("\ttotal key size: {}", Byte::from(key_size).get_appropriate_unit(true));
println!("\ttotal val size: {} bytes", val_size); println!("\ttotal val size: {}", Byte::from(val_size).get_appropriate_unit(true));
println!("\ttotal size: {} bytes", key_size + val_size); println!("\ttotal size: {}", Byte::from(key_size + val_size).get_appropriate_unit(true));
Ok(()) Ok(())
} }