Tetap teratur dengan koleksi
Simpan dan kategorikan konten berdasarkan preferensi Anda.
Halaman ini menampilkan contoh pola yang mungkin Anda lihat dalam peta panas Key Visualizer. Pola ini dapat membantu Anda memecahkan masalah performa tertentu.
Penggunaan yang didistribusikan secara merata
Jika peta panas menampilkan campuran warna gelap dan terang yang terperinci, maka operasi baca dan tulis didistribusikan secara merata di seluruh database. Peta panas ini kemungkinan merepresentasikan pola penggunaan yang efektif untuk mode Datastore.
Kunci berurutan
Peta panas dengan satu garis diagonal terang dapat menunjukkan database yang menggunakan
kunci yang meningkat atau menurun secara ketat. Kunci berurutan
adalah anti-pola yang dapat membuat hotspot.
Untuk mempelajari lebih lanjut hotspot, lihat
halaman praktik terbaik.
Saat melakukan hotspotting, Anda mungkin mengamati latensi yang meningkat sesuai saat Anda membandingkan metrik Ops/s dengan metrik latensi.
Peningkatan traffic mendadak
Peta panas dengan rentang utama yang tiba-tiba berubah dari gelap menjadi terang menunjukkan lonjakan beban yang tiba-tiba. Jika traffic Ops meningkat lebih cepat daripada
kemampuan mode Datastore untuk melakukan penskalaan otomatis resource, Anda mungkin melihat
metrik latency yang meningkat.
[[["Mudah dipahami","easyToUnderstand","thumb-up"],["Memecahkan masalah saya","solvedMyProblem","thumb-up"],["Lainnya","otherUp","thumb-up"]],[["Sulit dipahami","hardToUnderstand","thumb-down"],["Informasi atau kode contoh salah","incorrectInformationOrSampleCode","thumb-down"],["Informasi/contoh yang saya butuhkan tidak ada","missingTheInformationSamplesINeed","thumb-down"],["Masalah terjemahan","translationIssue","thumb-down"],["Lainnya","otherDown","thumb-down"]],["Terakhir diperbarui pada 2025-09-08 UTC."],[[["\u003cp\u003eKey Visualizer heatmaps display patterns that can help identify performance issues in your database.\u003c/p\u003e\n"],["\u003cp\u003eEvenly distributed usage, shown by a mix of dark and bright colors, indicates effective Datastore mode usage.\u003c/p\u003e\n"],["\u003cp\u003eSequential keys, shown as a bright diagonal line, are an anti-pattern that can cause hotspots and increased latencies.\u003c/p\u003e\n"],["\u003cp\u003eA sudden shift from dark to bright on a heatmap shows a spike in load, which may cause increased latency if it outpaces Datastore's auto-scaling.\u003c/p\u003e\n"]]],[],null,["# Heatmap patterns for entity keys\n\nThis page shows examples of patterns that you might see in a Key Visualizer\nheatmap. These patterns can help you troubleshoot specific performance\nissues.\n\nEvenly distributed usage\n------------------------\n\nIf a heatmap shows a fine-grained mix of dark and bright colors, then reads and\nwrites are evenly distributed throughout the database. This heatmap\nlikely represents an effective usage pattern for Datastore mode. \n\nSequential keys\n---------------\n\nA heatmap with a single bright diagonal line can indicate a database that uses\nstrictly increasing or decreasing keys. Sequential keys\nare an anti-pattern that can create hotspots.\nTo learn more about hotspots, see the\n[best practices page](/datastore/docs/best-practices#high_readwrite_rates_to_a_narrow_key_range).\n\nWhen hotspotting, you might observe corresponding elevated latencies\nwhen you compare a `Ops/s` metric with a latency metric. \n\nSudden traffic increase\n-----------------------\n\nA heatmap with a key range that suddenly changes from dark to bright indicates\na sudden spike in load. If `Ops` traffic increases faster than\nDatastore mode can auto-scale resources, you might see\ncorresponding elevated `latency` metrics. \n\nWhat's next\n-----------\n\n- Learn how to [get started with Key Visualizer](./keyvis-getting-started).\n- Find out how to [explore a heatmap in detail](./keyvis-exploring-heatmaps).\n- Read about the [metrics you can view in a heatmap](./key-visualizer#metrics).\n- Learn about [index key patterns](/firestore/docs/keyvis-patterns-index)"]]
