GCP - Cloud Firestore and Bigtable
You notice your Bigtable time-series data query is slow. Which of the following is a likely cause and fix?
You notice your Bigtable time-series data query is slow. Which of the following is a likely cause and fix?
medium📝 Debug Q14 of 15
Step-by-Step Solution
Solution:
Step 1: Identify hotspotting from row key design
If timestamp is first in the key, writes concentrate on a small range causing slow queries.Step 2: Fix by changing row key order
Placing deviceID first distributes writes and reads better, improving performance.Final Answer:
Cause: Row keys are timestamp first causing hotspotting. Fix: Reverse the key to deviceID#timestamp. -> Option BQuick Check:
Hotspotting fix = reorder row key [OK]
Quick Trick: Avoid timestamp-first keys to prevent hotspots [OK]
Common Mistakes:
- Thinking multiple clusters slow queries
- Adding column families improves speed
- Confusing data format impact on speed
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