Claudio Ortolina
265 lines
12 KiB
Plaintext
265 lines
12 KiB
Plaintext
╭─────────────────────────────────────────────────────────╮
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│ ✻ Welcome to Claude Code! │
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│ │
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│ /help for help, /status for your current setup │
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│ │
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│ cwd: /Users/cloud/github.com/cloud8421/music_library │
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╰─────────────────────────────────────────────────────────╯
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> Can you optimize this query?
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SELECT s0."scrobbled_at_uts", s0."musicbrainz_id", s0."title", s0."cover_url", s0."scrobbled_at_label", s0."artist", s0."album",
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s0."last_fm_data", s1."record_id", s2."record_id", s3."musicbrainz_id", coalesce(s1."cover_hash", s2."cover_hash") FROM
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"scrobbled_tracks" AS s0 LEFT OUTER JOIN (SELECT records.id AS "record_id", records.cover_hash AS "cover_hash", sf0."value" AS
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"release_id" FROM records, json_each(records.release_ids) AS sf0 WHERE (records.purchased_at IS NOT NULL)) AS s1 ON
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s1."release_id" = s0."album" ->> '$.musicbrainz_id' LEFT OUTER JOIN (SELECT records.id AS "record_id", records.cover_hash AS
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"cover_hash", sf0."value" AS "release_id" FROM records, json_each(records.release_ids) AS sf0 WHERE (records.purchased_at IS
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NULL)) AS s2 ON s2."release_id" = s0."album" ->> '$.musicbrainz_id' LEFT OUTER JOIN (SELECT DISTINCT sa0."musicbrainz_id" AS
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"musicbrainz_id", sa0."record_id" AS "record_id", sa0."artist" AS "artist" FROM "artist_records" AS sa0) AS s3 ON (s2."record_id"
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= s3."record_id") OR (s1."record_id" = s3."record_id") ORDER BY s0."scrobbled_at_uts" DESC LIMIT 100
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⏺ I'll analyze this query to identify optimization opportunities. Let me first examine the current database schema and understand
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the query structure.
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⎿ * LastFm.Album at lib/last_fm/album.ex:1
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* LastFm.Artist at lib/last_fm/artist.ex:1
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* LastFm.Track at lib/last_fm/track.ex:1
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… +11 lines (ctrl+o to expand)
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⏺ Search(pattern: "scrobbled_tracks")
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⎿ Found 11 files (ctrl+o to expand)
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⏺ Read(lib/last_fm/track.ex)
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⎿ Read 95 lines (ctrl+o to expand)
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⏺ Read(priv/repo/migrations/20250530203701_create_scrobbled_tracks.exs)
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⎿ Read 19 lines (ctrl+o to expand)
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⏺ Read(lib/music_library/records/record.ex)
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⎿ Read 276 lines (ctrl+o to expand)
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⏺ Now let me find where this query is being generated to understand the context:
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⏺ Search(pattern: "FROM.*scrobbled_tracks.*AS s0")
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⎿ Found 0 files
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⏺ Search(pattern: "scrobbled_tracks.*LEFT OUTER JOIN", output_mode: "content")
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⎿ Found 0 lines
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⏺ Search(pattern: "json_each.*release_ids")
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⎿ Found 3 files (ctrl+o to expand)
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⏺ Search(pattern: "scrobbled_tracks.*s0", output_mode: "content")
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⎿ Found 0 lines
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⏺ Let me search in the last_fm.ex file where this query might be generated:
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⏺ Read(lib/last_fm.ex)
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⎿ Read 87 lines (ctrl+o to expand)
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⏺ Let me search for more specific patterns to find where this query is generated:
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⏺ Search(pattern: "purchased_at IS NOT NULL")
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⎿ Found 2 files (ctrl+o to expand)
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⏺ Read(lib/music_library/collection.ex)
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⎿ Read 127 lines (ctrl+o to expand)
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⏺ Search(pattern: "coalesce.*cover_hash")
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⎿ Found 1 file (ctrl+o to expand)
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⏺ Read(lib/music_library/scrobble_activity.ex)
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⎿ Read 472 lines (ctrl+o to expand)
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⏺ Found it! The query comes from the recent_activity/2 function in MusicLibrary.ScrobbleActivity. Let me examine the database
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indexes to understand the current optimization opportunities:
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⏺ tidewave - execute_sql_query (MCP)(query: "SELECT name, sql FROM sqlite_master WHERE type='index' AND tbl_name IN
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('scrobbled_tracks', 'records') ORDER BY tbl_name, name")
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⎿ %Exqlite.Result{
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command: :execute,
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columns: ["name", "sql"],
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… +3 lines (ctrl+o to expand)
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⏺ tidewave - execute_sql_query (MCP)(query: "SELECT name, sql FROM sqlite_master WHERE type='index' ORDER BY name")
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⎿ %Exqlite.Result{
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command: :execute,
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columns: ["name", "sql"],
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… +7 lines (ctrl+o to expand)
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⏺ Let me check what indexes exist specifically for the tables we're working with:
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⏺ tidewave - execute_sql_query (MCP)(query: "PRAGMA index_list('scrobbled_tracks')")
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⎿ %Exqlite.Result{
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command: :execute,
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columns: ["seq", "name", "unique", "origin", "partial"],
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… +3 lines (ctrl+o to expand)
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⏺ tidewave - execute_sql_query (MCP)(query: "PRAGMA index_list('records')")
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⎿ %Exqlite.Result{
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command: :execute,
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columns: ["seq", "name", "unique", "origin", "partial"],
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… +3 lines (ctrl+o to expand)
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⏺ tidewave - execute_sql_query (MCP)(query: "SELECT name FROM sqlite_master WHERE type='table' ORDER BY name")
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⎿ %Exqlite.Result{
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command: :execute,
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columns: ["name"],
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… +3 lines (ctrl+o to expand)
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⏺ Let me check if the scrobbled_tracks table actually exists and examine its structure:
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⏺ tidewave - execute_sql_query (MCP)(query: ".tables")
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⎿ Error: Failed to execute query: %Exqlite.Error{message: "near \".\": syntax error", statement: ".tables"}
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⏺ Bash(mix ecto.migrate)
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⎿ 21:39:52.643 [info] Migrations already up
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21:39:52.646 [debug] Exqlite: loading extension `/Users/cloud/github.com/cloud8421/music_library/_build/dev/lib/music_library
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… +5 lines (ctrl+o to expand)
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⏺ tidewave - execute_sql_query (MCP)(query: "SELECT name FROM sqlite_master WHERE type='table' AND name LIKE '%scrobbled%' OR name
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LIKE '%records%'")
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⎿ %Exqlite.Result{command: :execute, columns: ["name"], rows: [], num_rows: 0}
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⏺ tidewave - execute_sql_query (MCP)(query: "SELECT name FROM sqlite_master WHERE type='table'", repo: "MusicLibrary.Repo")
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⎿ %Exqlite.Result{
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command: :execute,
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columns: ["name"],
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… +28 lines (ctrl+o to expand)
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⏺ Now let me check the existing indexes:
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⏺ tidewave - execute_sql_query (MCP)(query: "PRAGMA index_list('scrobbled_tracks')", repo: "MusicLibrary.Repo")
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⎿ %Exqlite.Result{
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command: :execute,
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columns: ["seq", "name", "unique", "origin", "partial"],
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… +3 lines (ctrl+o to expand)
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⏺ tidewave - execute_sql_query (MCP)(query: "PRAGMA index_list('records')", repo: "MusicLibrary.Repo")
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⎿ %Exqlite.Result{
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command: :execute,
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columns: ["seq", "name", "unique", "origin", "partial"],
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… +18 lines (ctrl+o to expand)
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⏺ tidewave - execute_sql_query (MCP)(query: "PRAGMA index_info('scrobbled_tracks_scrobbled_at_uts_title_index')", repo:
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"MusicLibrary.Repo")
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⎿ %Exqlite.Result{
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command: :execute,
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columns: ["seqno", "cid", "name"],
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… +3 lines (ctrl+o to expand)
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⏺ tidewave - execute_sql_query (MCP)(query: "PRAGMA index_info('records_release_ids_index')", repo: "MusicLibrary.Repo")
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⎿ %Exqlite.Result{
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command: :execute,
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columns: ["seqno", "cid", "name"],
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… +3 lines (ctrl+o to expand)
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⏺ Query Optimization Analysis
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The query from MusicLibrary.ScrobbleActivity.recent_activity/2 has several optimization opportunities:
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Current Issues:
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1. Complex subqueries with json_each(): The query uses json_each() on release_ids arrays for both collection and wishlist joins,
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which is expensive for each row.
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2. Multiple LEFT JOINs with subqueries: Three separate subqueries are executed and joined, creating a cartesian product that's
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then filtered.
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3. JSON extraction in WHERE clauses: Using fragment("? ->> '$.musicbrainz_id'", t.album) requires JSON parsing for every row.
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4. Missing indexes: No composite indexes for the JSON-based join conditions.
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Recommended Optimizations:
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1. Add Strategic Indexes
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-- Index for album musicbrainz_id JSON extraction (most critical)
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CREATE INDEX idx_scrobbled_tracks_album_mbid
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ON scrobbled_tracks((album ->> '$.musicbrainz_id'));
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-- Composite index for the main query
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CREATE INDEX idx_scrobbled_tracks_scrobbled_at_album_mbid
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ON scrobbled_tracks(scrobbled_at_uts DESC, (album ->> '$.musicbrainz_id'));
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2. Rewrite the Query Structure
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Instead of multiple subqueries, use CTEs and reduce the number of joins:
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def recent_activity_optimized(timezone, limit \\ 100) do
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# Single CTE for all releases with their collection/wishlist status
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releases_cte = """
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WITH releases AS (
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SELECT
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r.id as record_id,
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r.cover_hash,
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r.purchased_at IS NOT NULL as is_collected,
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sf.value as release_id
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FROM records r, json_each(r.release_ids) sf
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)
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"""
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query = from t in Track,
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left_join: r in fragment("""
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(SELECT record_id, cover_hash, release_id,
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CASE WHEN is_collected THEN record_id END as collected_record_id,
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CASE WHEN NOT is_collected THEN record_id END as wishlisted_record_id
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FROM releases)
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"""),
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on: r.release_id == fragment("? ->> '$.musicbrainz_id'", t.album),
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left_join: ar in ArtistRecord,
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on: ar.record_id == r.record_id,
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order_by: [desc: t.scrobbled_at_uts],
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limit: ^limit,
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select: %{
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track: t,
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collected_record_id: r.collected_record_id,
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wishlisted_record_id: r.wishlisted_record_id,
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artist_id: ar.musicbrainz_id,
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cover_hash: r.cover_hash
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}
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end
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3. Alternative: Materialized View Approach
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Create a materialized view that pre-joins release data:
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CREATE VIEW release_lookup AS
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SELECT
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r.id as record_id,
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r.cover_hash,
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r.purchased_at IS NOT NULL as is_collected,
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sf.value as release_id
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FROM records r, json_each(r.release_ids) sf;
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CREATE INDEX idx_release_lookup_release_id ON release_lookup(release_id);
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4. Denormalization Option
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Consider adding a release_musicbrainz_id field directly to scrobbled_tracks to avoid JSON extraction:
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# In migration
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add :album_musicbrainz_id, :string
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create index(:scrobbled_tracks, [:album_musicbrainz_id])
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create index(:scrobbled_tracks, [:scrobbled_at_uts, :album_musicbrainz_id])
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⏺ Immediate Impact Recommendations:
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High Impact, Low Risk:
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1. Add the JSON extraction index: CREATE INDEX idx_scrobbled_tracks_album_mbid ON scrobbled_tracks((album ->>
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'$.musicbrainz_id'))
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2. Add composite index: CREATE INDEX idx_scrobbled_tracks_scrobbled_at_album_mbid ON scrobbled_tracks(scrobbled_at_uts DESC,
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(album ->> '$.musicbrainz_id'))
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Medium Impact, Medium Risk:
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3. Rewrite query to use a single CTE instead of multiple subqueries
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4. Create the release_lookup view for better join performance
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High Impact, Higher Risk:
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5. Denormalize by adding album_musicbrainz_id column to eliminate JSON extraction entirely
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The most critical optimization is adding indexes for the JSON extraction operations, which should provide immediate performance
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improvements with no code changes required.
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