meilisearch/milli/src/documents/mod.rs

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Rust
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mod builder;
mod reader;
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use std::fmt::{self, Debug};
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use std::io;
use bimap::BiHashMap;
pub use builder::DocumentsBatchBuilder;
pub use reader::{DocumentsBatchCursor, DocumentsBatchReader};
use serde::{Deserialize, Serialize};
use crate::FieldId;
/// The key that is used to store the `DocumentsBatchIndex` datastructure,
/// it is the absolute last key of the list.
const DOCUMENTS_BATCH_INDEX_KEY: [u8; 8] = u64::MAX.to_be_bytes();
/// A bidirectional map that links field ids to their name in a document batch.
#[derive(Default, Clone, Debug, Serialize, Deserialize)]
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pub struct DocumentsBatchIndex(pub BiHashMap<FieldId, String>);
impl DocumentsBatchIndex {
/// Insert the field in the map, or return it's field id if it doesn't already exists.
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pub fn insert(&mut self, field: &str) -> FieldId {
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match self.0.get_by_right(field) {
Some(field_id) => *field_id,
None => {
let field_id = self.0.len() as FieldId;
self.0.insert(field_id, field.to_string());
field_id
}
}
}
pub fn is_empty(&self) -> bool {
self.0.is_empty()
}
pub fn len(&self) -> usize {
self.0.len()
}
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pub fn iter(&self) -> bimap::hash::Iter<FieldId, String> {
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self.0.iter()
}
pub fn name(&self, id: FieldId) -> Option<&str> {
self.0.get_by_left(&id).map(AsRef::as_ref)
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}
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pub fn recreate_json(
&self,
document: &obkv::KvReaderU16,
) -> Result<serde_json::Map<String, serde_json::Value>, crate::Error> {
let mut map = serde_json::Map::new();
for (k, v) in document.iter() {
// TODO: TAMO: update the error type
let key =
self.0.get_by_left(&k).ok_or(crate::error::InternalError::DatabaseClosing)?.clone();
let value = serde_json::from_slice::<serde_json::Value>(v)
.map_err(crate::error::InternalError::SerdeJson)?;
map.insert(key, value);
}
Ok(map)
}
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}
#[derive(Debug)]
pub enum Error {
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ParseFloat { error: std::num::ParseFloatError, line: usize, value: String },
InvalidDocumentFormat,
Csv(csv::Error),
Json(serde_json::Error),
Serialize(serde_json::Error),
Grenad(grenad::Error),
Io(io::Error),
}
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impl From<csv::Error> for Error {
fn from(e: csv::Error) -> Self {
Self::Csv(e)
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}
}
impl From<io::Error> for Error {
fn from(other: io::Error) -> Self {
Self::Io(other)
}
}
impl From<serde_json::Error> for Error {
fn from(other: serde_json::Error) -> Self {
Self::Json(other)
}
}
impl From<grenad::Error> for Error {
fn from(other: grenad::Error) -> Self {
Self::Grenad(other)
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}
}
impl fmt::Display for Error {
fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result {
match self {
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Error::ParseFloat { error, line, value } => {
write!(f, "Error parsing number {:?} at line {}: {}", value, line, error)
}
Error::InvalidDocumentFormat => {
f.write_str("Invalid document addition format, missing the documents batch index.")
}
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Error::Io(e) => write!(f, "{}", e),
Error::Serialize(e) => write!(f, "{}", e),
Error::Grenad(e) => write!(f, "{}", e),
Error::Csv(e) => write!(f, "{}", e),
Error::Json(e) => write!(f, "{}", e),
}
}
}
impl std::error::Error for Error {}
/// Macro used to generate documents, with the same syntax as `serde_json::json`
#[cfg(test)]
macro_rules! documents {
($data:tt) => {{
let documents = serde_json::json!($data);
let documents = match documents {
object @ serde_json::Value::Object(_) => vec![object],
serde_json::Value::Array(objects) => objects,
invalid => {
panic!("an array of objects must be specified, {:#?} is not an array", invalid)
}
};
let mut builder = crate::documents::DocumentsBatchBuilder::new(Vec::new());
for document in documents {
let object = match document {
serde_json::Value::Object(object) => object,
invalid => panic!("an object must be specified, {:#?} is not an object", invalid),
};
builder.append_json_object(&object).unwrap();
}
let vector = builder.into_inner().unwrap();
crate::documents::DocumentsBatchReader::from_reader(std::io::Cursor::new(vector)).unwrap()
}};
}
#[cfg(test)]
mod test {
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use std::io::Cursor;
use serde_json::{json, Value};
use super::*;
#[test]
fn create_documents_no_errors() {
let value = json!({
"number": 1,
"string": "this is a field",
"array": ["an", "array"],
"object": {
"key": "value",
},
"bool": true
});
let mut builder = DocumentsBatchBuilder::new(Vec::new());
builder.append_json_object(value.as_object().unwrap()).unwrap();
let vector = builder.into_inner().unwrap();
let mut documents =
DocumentsBatchReader::from_reader(Cursor::new(vector)).unwrap().into_cursor();
assert_eq!(documents.documents_batch_index().iter().count(), 5);
let reader = documents.next_document().unwrap().unwrap();
assert_eq!(reader.iter().count(), 5);
assert!(documents.next_document().unwrap().is_none());
}
#[test]
fn test_add_multiple_documents() {
let doc1 = json!({
"bool": true,
});
let doc2 = json!({
"toto": false,
});
let mut builder = DocumentsBatchBuilder::new(Vec::new());
builder.append_json_object(doc1.as_object().unwrap()).unwrap();
builder.append_json_object(doc2.as_object().unwrap()).unwrap();
let vector = builder.into_inner().unwrap();
let mut documents =
DocumentsBatchReader::from_reader(io::Cursor::new(vector)).unwrap().into_cursor();
assert_eq!(documents.documents_batch_index().iter().count(), 2);
let reader = documents.next_document().unwrap().unwrap();
assert_eq!(reader.iter().count(), 1);
assert!(documents.next_document().unwrap().is_some());
assert!(documents.next_document().unwrap().is_none());
}
#[test]
fn test_nested() {
let docs_reader = documents!([{
"hello": {
"toto": ["hello"]
}
}]);
let mut cursor = docs_reader.into_cursor();
let doc = cursor.next_document().unwrap().unwrap();
let nested: Value = serde_json::from_slice(doc.get(0).unwrap()).unwrap();
assert_eq!(nested, json!({ "toto": ["hello"] }));
}
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#[test]
fn out_of_order_json_fields() {
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let _documents = documents!([
{"id": 1,"b": 0},
{"id": 2,"a": 0,"b": 0},
]);
}
#[test]
fn out_of_order_csv_fields() {
let csv1_content = "id:number,b\n1,0";
let csv1 = csv::Reader::from_reader(Cursor::new(csv1_content));
let csv2_content = "id:number,a,b\n2,0,0";
let csv2 = csv::Reader::from_reader(Cursor::new(csv2_content));
let mut builder = DocumentsBatchBuilder::new(Vec::new());
builder.append_csv(csv1).unwrap();
builder.append_csv(csv2).unwrap();
let vector = builder.into_inner().unwrap();
DocumentsBatchReader::from_reader(Cursor::new(vector)).unwrap();
}
}