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Explain how spark.read.format("delta").load() works

Spark/Big Datahard0.5 min readPremium
Frequency
Low
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
Meesho
Key Concepts Tested
optimizationpartitionspark
Expert AnswerPremium
108 wordsInterview-ready
**Why it matters**: At scale, design choices directly impact reliability, latency, and cost. Wrong decisions compound across jobs and teams. spark.read.format('delta').load(path) reads a Delta table. Format delta uses the Delta Lake connector to (1) read the transaction log (_delta_log) to get current version; (2) determine which Parquet files are current; (3) read only those files (no full scan). Supports time travel: .option('versionAsOf', 5) or .option('timestampAsOf', 'timestamp')....
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 Meesho. The answer also includes follow-up discussion points that interviewers commonly explore.

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