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What are the performance considerations when using Auto Loader?

Spark/Big Dataeasy0.5 min readPremium
Frequency
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Asked at 1 company
Category
452
questions in Spark/Big Data
Difficulty Split
88E|81M|283H
in this category
Total Bank
1,863
across 7 categories
Asked at these companies
TCS
Expert AnswerPremium
103 wordsInterview-ready
**File Discovery**: Directory listing on S3/ADLS has latency and cost (LIST requests). Use **cloud file notifications** (S3 Events, EventGrid) when available—faster and cheaper at scale. **Schema Inference**: Inferring schema from files adds overhead. Provide explicit schema for static schemas. **Checkpoint**: Durable storage (S3, DBFS); avoid small-object problem....
The complete answer continues with detailed implementation patterns, architectural trade-offs, and production-grade considerations. It covers performance optimization strategies, common pitfalls to avoid, and real-world examples from companies like TCS. The answer also includes follow-up discussion points that interviewers commonly explore.

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