Introduce two new infos subcommands

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Kerollmops 2020-09-07 14:56:48 +02:00
parent bb1ab428db
commit ea605b499c
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@ -52,6 +52,12 @@ enum Command {
limit: usize, limit: usize,
}, },
/// Outputs the total size of all the docid-word-positions keys and values.
TotalDocidWordPositionsSize,
/// Outputs the average number of *different* words by document.
AverageNumberOfWordsByDoc,
/// Outputs the words FST to disk. /// Outputs the words FST to disk.
/// ///
/// One can use the FST binary helper to dissect and analyze it, /// One can use the FST binary helper to dissect and analyze it,
@ -84,6 +90,8 @@ fn main() -> anyhow::Result<()> {
match opt.command { match opt.command {
MostCommonWords { limit } => most_common_words(&index, &rtxn, limit), MostCommonWords { limit } => most_common_words(&index, &rtxn, limit),
BiggestValues { limit } => biggest_value_sizes(&index, &rtxn, limit), BiggestValues { limit } => biggest_value_sizes(&index, &rtxn, limit),
TotalDocidWordPositionsSize => total_docid_word_positions_size(&index, &rtxn),
AverageNumberOfWordsByDoc => average_number_of_words_by_doc(&index, &rtxn),
ExportWordsFst { output } => export_words_fst(&index, &rtxn, output), ExportWordsFst { output } => export_words_fst(&index, &rtxn, output),
} }
} }
@ -181,3 +189,64 @@ fn export_words_fst(index: &Index, rtxn: &heed::RoTxn, output: PathBuf) -> anyho
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<()> {
use heed::types::DecodeIgnore;
use milli::{DocumentId, BEU32StrCodec};
let mut words_counts = Vec::new();
let mut count = 0;
let mut prev = None as Option<(DocumentId, u32)>;
let iter = index.docid_word_positions.as_polymorph().iter::<_, BEU32StrCodec, DecodeIgnore>(rtxn)?;
for result in iter {
let ((docid, _word), ()) = result?;
match prev.as_mut() {
Some((prev_docid, prev_count)) if docid == *prev_docid => {
*prev_count += 1;
},
Some((prev_docid, prev_count)) => {
words_counts.push(*prev_count);
*prev_docid = docid;
*prev_count = 0;
count += 1;
},
None => prev = Some((docid, 1)),
}
}
if let Some((_, prev_count)) = prev.take() {
words_counts.push(prev_count);
count += 1;
}
let words_count = words_counts.into_iter().map(|c| c as usize).sum::<usize>() as f64;
let count = count as f64;
println!("average number of different words by document: {}", words_count / count);
Ok(())
}