SQLite Indexing

Overview

Glyph uses SQLite with FTS5 (Full-Text Search) to index all notes for fast searching. The index is stored in .glyph/index.db and includes:

Note content (full-text searchable)
Frontmatter properties (tags, custom fields)
Internal links (wikilinks + markdown links)
Task items (with due dates, scheduled dates)

The index is derived data. It can be rebuilt from source files at any time via index_rebuild command.

Schema

Notes Table (FTS5)

src-tauri/src/index/schema.rs

CREATE VIRTUAL TABLE notes_fts USING fts5(
  id UNINDEXED,          -- Note path (e.g., 'notes/example.md')
  title,                 -- Note title (from frontmatter or filename)
  content,               -- Full markdown content
  tokenize='porter'      -- Porter stemming ("running" matches "run")
);

Tags Table

CREATE TABLE tags (
  note_id TEXT NOT NULL,     -- Foreign key to note path
  tag TEXT NOT NULL,         -- Tag name (e.g., 'research')
  PRIMARY KEY (note_id, tag)
);

CREATE INDEX idx_tags_tag ON tags(tag);

Links Table

CREATE TABLE links (
  source_id TEXT NOT NULL,   -- Source note path
  target_id TEXT NOT NULL,   -- Target note path (resolved)
  link_type TEXT NOT NULL,   -- 'wikilink' or 'markdown'
  PRIMARY KEY (source_id, target_id)
);

CREATE INDEX idx_links_target ON links(target_id);

Tasks Table

CREATE TABLE tasks (
  task_id TEXT PRIMARY KEY,     -- Unique task ID
  note_id TEXT NOT NULL,        -- Parent note path
  line_start INTEGER NOT NULL,  -- Line number in note
  raw_text TEXT NOT NULL,       -- Full task markdown
  checked BOOLEAN NOT NULL,     -- Completion status
  status TEXT,                  -- Custom status (e.g., '> in progress')
  priority INTEGER,             -- Priority level (1-3)
  due_date TEXT,                -- ISO date (YYYY-MM-DD)
  scheduled_date TEXT,          -- ISO date (YYYY-MM-DD)
  section TEXT                  -- Parent heading
);

CREATE INDEX idx_tasks_note ON tasks(note_id);
CREATE INDEX idx_tasks_due ON tasks(due_date);
CREATE INDEX idx_tasks_scheduled ON tasks(scheduled_date);

Indexing Process

Initial Index Build

When a space is opened:

Create/open database

src-tauri/src/index/db.rs

pub fn open_db(glyph_dir: &Path) -> Result<Connection, rusqlite::Error> {
  let db_path = glyph_dir.join("index.db");
  let db = Connection::open(db_path)?;
  schema::ensure_schema(&db)?; // Create tables if missing
  Ok(db)
}

Scan notes directory

src-tauri/src/index/indexer.rs

pub fn rebuild_index(space_root: &Path, db: &Connection) -> Result<usize, String> {
  let notes_dir = space_root.join("notes");
  let mut indexed = 0;
  
  for entry in WalkDir::new(notes_dir) {
    let path = entry.path();
    if path.extension() == Some(OsStr::new("md")) {
      index_note(path, db)?;
      indexed += 1;
    }
  }
  
  Ok(indexed)
}

Parse each note

fn index_note(path: &Path, db: &Connection) -> Result<(), String> {
  let content = fs::read_to_string(path)?;
  let (frontmatter, body) = parse_frontmatter(&content)?;
  
  // Extract metadata
  let title = frontmatter.get("title")
    .or_else(|| extract_first_heading(&body))
    .unwrap_or_else(|| path.file_stem().to_string());
  
  let tags = frontmatter.get("tags")
    .map(|v| parse_tag_list(v))
    .unwrap_or_default();
  
  // Index content
  index_note_content(db, path, &title, &body)?;
  index_tags(db, path, &tags)?;
  index_links(db, path, &body)?;
  index_tasks(db, path, &body)?;
  
  Ok(())
}

Incremental Updates

The filesystem watcher triggers re-indexing on file changes:

src-tauri/src/space/watcher.rs

let watcher = notify::recommended_watcher(move |event| {
  match event {
    Ok(Event { kind: EventKind::Modify(_), paths, .. }) => {
      for path in paths {
        if path.extension() == Some(OsStr::new("md")) {
          // Re-index single file
          indexer::reindex_file(&path, &db)?;
        }
      }
    }
    Ok(Event { kind: EventKind::Remove(_), paths, .. }) => {
      for path in paths {
        // Remove from index
        indexer::delete_from_index(&path, &db)?;
      }
    }
    _ => {}
  }
})?;

Search Implementation

Basic Search

src-tauri/src/index/search_hybrid.rs

#[tauri::command]
pub fn search(
  query: String,
  state: State<SpaceState>,
) -> Result<Vec<SearchResult>, String> {
  let current = state.current.lock().unwrap();
  let space = current.as_ref().ok_or("No space open")?;
  
  let mut stmt = space.db.prepare("
    SELECT id, title, snippet(notes_fts, 2, '<mark>', '</mark>', '...', 32) as snippet
    FROM notes_fts
    WHERE notes_fts MATCH ?
    ORDER BY rank
    LIMIT 50
  ")?;
  
  let results = stmt.query_map([query], |row| {
    Ok(SearchResult {
      id: row.get(0)?,
      title: row.get(1)?,
      snippet: row.get(2)?,
      score: 1.0, // FTS5 rank is negative, normalize later
    })
  })?.collect()?;
  
  Ok(results)
}

Advanced Search

src-tauri/src/index/search_advanced.rs

pub fn search_advanced(
  request: SearchAdvancedRequest,
  db: &Connection,
) -> Result<Vec<SearchResult>, String> {
  let mut where_clauses = vec![];
  let mut params: Vec<Box<dyn ToSql>> = vec![];
  
  // Text query
  if let Some(query) = request.query {
    if request.title_only {
      where_clauses.push("title MATCH ?");
    } else {
      where_clauses.push("notes_fts MATCH ?");
    }
    params.push(Box::new(query));
  }
  
  // Tag filter
  if let Some(tags) = request.tags {
    where_clauses.push("
      id IN (
        SELECT note_id FROM tags
        WHERE tag IN (" + placeholders(&tags) + ")
        GROUP BY note_id
        HAVING COUNT(DISTINCT tag) = ?
      )
    ");
    for tag in &tags {
      params.push(Box::new(tag.clone()));
    }
    params.push(Box::new(tags.len()));
  }
  
  let sql = format!(
    "SELECT id, title, snippet(notes_fts, 2, '<mark>', '</mark>', '...', 32)
     FROM notes_fts
     WHERE {}
     ORDER BY rank
     LIMIT ?",
    where_clauses.join(" AND ")
  );
  
  params.push(Box::new(request.limit.unwrap_or(50)));
  
  // Execute query...
}

Tag Indexing

Extracting Tags

Tags come from two sources:

Frontmatter: tags: [research, ai]
Inline hashtags: #research #ai

src-tauri/src/index/tags.rs

pub fn extract_tags(frontmatter: &HashMap<String, Value>, body: &str) -> Vec<String> {
  let mut tags = HashSet::new();
  
  // Frontmatter tags
  if let Some(Value::Array(arr)) = frontmatter.get("tags") {
    for v in arr {
      if let Value::String(s) = v {
        tags.insert(s.clone());
      }
    }
  }
  
  // Inline hashtags
  let hashtag_re = Regex::new(r"#([\w-]+)").unwrap();
  for cap in hashtag_re.captures_iter(body) {
    tags.insert(cap[1].to_string());
  }
  
  tags.into_iter().collect()
}

pub fn index_tags(
  db: &Connection,
  note_id: &str,
  tags: &[String],
) -> Result<(), rusqlite::Error> {
  // Clear existing tags
  db.execute("DELETE FROM tags WHERE note_id = ?", [note_id])?;
  
  // Insert new tags
  let mut stmt = db.prepare("INSERT INTO tags (note_id, tag) VALUES (?, ?)")?;
  for tag in tags {
    stmt.execute([note_id, tag])?;
  }
  
  Ok(())
}

Tag Queries

src-tauri/src/index/tags.rs

#[tauri::command]
pub fn tags_list(
  limit: Option<usize>,
  state: State<SpaceState>,
) -> Result<Vec<TagCount>, String> {
  let current = state.current.lock().unwrap();
  let space = current.as_ref().ok_or("No space open")?;
  
  let mut stmt = space.db.prepare("
    SELECT tag, COUNT(*) as count
    FROM tags
    GROUP BY tag
    ORDER BY count DESC, tag ASC
    LIMIT ?
  ")?;
  
  let tags = stmt.query_map([limit.unwrap_or(100)], |row| {
    Ok(TagCount {
      tag: row.get(0)?,
      count: row.get(1)?,
    })
  })?.collect()?;
  
  Ok(tags)
}

Link Indexing

Extracting Links

src-tauri/src/index/links.rs

pub fn extract_links(note_id: &str, body: &str) -> Vec<Link> {
  let mut links = vec![];
  
  // Wikilinks: [[target]] or [[target|alias]]
  let wikilink_re = Regex::new(r"\[\[([^\]|]+)(?:\|[^\]]+)?\]\]").unwrap();
  for cap in wikilink_re.captures_iter(body) {
    links.push(Link {
      source: note_id.to_string(),
      target: cap[1].to_string(),
      link_type: "wikilink".to_string(),
    });
  }
  
  // Markdown links: [text](href)
  let md_link_re = Regex::new(r"\[([^\]]+)\]\(([^)]+)\)").unwrap();
  for cap in md_link_re.captures_iter(body) {
    let href = &cap[2];
    if !href.starts_with("http://") && !href.starts_with("https://") {
      links.push(Link {
        source: note_id.to_string(),
        target: href.to_string(),
        link_type: "markdown".to_string(),
      });
    }
  }
  
  links
}

Backlink Queries

#[tauri::command]
pub fn backlinks(
  note_id: String,
  state: State<SpaceState>,
) -> Result<Vec<BacklinkItem>, String> {
  let current = state.current.lock().unwrap();
  let space = current.as_ref().ok_or("No space open")?;
  
  let mut stmt = space.db.prepare("
    SELECT DISTINCT n.id, n.title, n.updated
    FROM links l
    JOIN notes_fts n ON l.source_id = n.id
    WHERE l.target_id = ?
    ORDER BY n.updated DESC
  ")?;
  
  let backlinks = stmt.query_map([note_id], |row| {
    Ok(BacklinkItem {
      id: row.get(0)?,
      title: row.get(1)?,
      updated: row.get(2)?,
    })
  })?.collect()?;
  
  Ok(backlinks)
}

Task Indexing

Parsing Tasks

src-tauri/src/index/tasks/parse.rs

pub fn parse_tasks(note_id: &str, markdown: &str) -> Vec<TaskItem> {
  let mut tasks = vec![];
  let mut current_section = None;
  
  for (line_num, line) in markdown.lines().enumerate() {
    // Track headings for section context
    if line.starts_with('#') {
      current_section = Some(line.trim_start_matches('#').trim().to_string());
      continue;
    }
    
    // Parse task: - [ ] or - [x]
    if let Some(task) = parse_task_line(line) {
      let (due_date, scheduled_date) = extract_dates(line);
      
      tasks.push(TaskItem {
        task_id: format!("{}-{}", note_id, line_num),
        note_id: note_id.to_string(),
        line_start: line_num,
        raw_text: line.to_string(),
        checked: task.checked,
        status: task.status,
        priority: task.priority,
        due_date,
        scheduled_date,
        section: current_section.clone(),
      });
    }
  }
  
  tasks
}

Task Queries

src-tauri/src/index/tasks/store.rs

pub fn query_tasks(
  bucket: &str,
  today: &str,
  folders: Option<&[String]>,
  db: &Connection,
) -> Result<Vec<TaskItem>, String> {
  let where_clause = match bucket {
    "inbox" => "scheduled_date IS NULL AND due_date IS NULL AND checked = 0",
    "today" => "(scheduled_date <= ? OR due_date = ?) AND checked = 0",
    "upcoming" => "scheduled_date > ? AND checked = 0",
    _ => return Err("Invalid bucket".to_string()),
  };
  
  let sql = if let Some(folders) = folders {
    format!(
      "SELECT * FROM tasks WHERE {} AND note_id LIKE ?",
      where_clause
    )
  } else {
    format!("SELECT * FROM tasks WHERE {}", where_clause)
  };
  
  // Execute query...
}

Performance Optimization

FTS5 Optimization

-- Use 'optimize' to merge segments
INSERT INTO notes_fts(notes_fts) VALUES('optimize');

pub fn optimize_index(db: &Connection) -> Result<(), rusqlite::Error> {
  db.execute("INSERT INTO notes_fts(notes_fts) VALUES('optimize')", [])?;
  Ok(())
}

Batch Inserts

pub fn index_notes_batch(
  notes: &[&Path],
  db: &Connection,
) -> Result<(), String> {
  let tx = db.transaction()?;
  
  for note in notes {
    index_note(note, &tx)?;
  }
  
  tx.commit()?;
  Ok(())
}

Architecture

Building

Backend

Frontend

SQLite Indexing

Overview

Schema

Notes Table (FTS5)

Tags Table

Links Table

Tasks Table

Indexing Process

Initial Index Build

Incremental Updates

Search Implementation

Basic Search

Advanced Search

Tag Indexing

Extracting Tags

Tag Queries

Link Indexing

Extracting Links

Backlink Queries

Task Indexing

Parsing Tasks

Task Queries

Performance Optimization

FTS5 Optimization

Batch Inserts

Next Steps

Storage

Commands

Architecture

Building

Backend

Frontend

​Overview

​Schema

​Notes Table (FTS5)

​Tags Table

​Links Table

​Tasks Table

​Indexing Process

​Initial Index Build

​Incremental Updates

​Search Implementation

​Basic Search

​Advanced Search

​Tag Indexing

​Extracting Tags

​Tag Queries

​Link Indexing

​Extracting Links

​Backlink Queries

​Task Indexing

​Parsing Tasks

​Task Queries

​Performance Optimization

​FTS5 Optimization

​Batch Inserts

​Next Steps

Storage

Commands

Overview

Schema

Notes Table (FTS5)

Tags Table

Links Table

Tasks Table

Indexing Process

Initial Index Build

Incremental Updates

Search Implementation

Basic Search

Advanced Search

Tag Indexing

Extracting Tags

Tag Queries

Link Indexing

Extracting Links

Backlink Queries

Task Indexing

Parsing Tasks

Task Queries

Performance Optimization

FTS5 Optimization

Batch Inserts

Next Steps