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What is the usage of Optimize and REORG commands in Databricks?

Spark/Big Datamedium0.5 min readPremium

**OPTIMIZE**: Compacts small files in Delta table. Merges files; improves read performance. No Z-order. Run: `OPTIMIZE table_name`. **REORG**: OPTIMIZE + Z-order. Compacts and clusters by columns. Better predicate pushdown for filtered columns. Run: `REORG TABLE table_name...

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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
PWC
Key Concepts Tested
partitionwindow

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This medium-level Spark/Big Data question appears frequently in data engineering interviews at companies like PWC. While less common, it tests deeper understanding that distinguishes strong candidates. Mastering the underlying concepts (partition, window) will help you answer variations of this question confidently.

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Expert Answer
97 words

OPTIMIZE: Compacts small files in Delta table. Merges files; improves read performance. No Z-order. Run: OPTIMIZE table_name.

REORG: OPTIMIZE + Z-order. Compacts and clusters by columns. Better predicate pushdown for filtered columns. Run: REORG TABLE table_name APPLY (ZORDER BY (col1, col2)).

When: After many small writes. Before large reads. During maintenance window.

Trade-offs: REORG more expensive; Z-order helps reads on clustered columns. High cardinality column = low benefit.

Scalability Trade-offs: Both expensive on large tables. Run per partition or during low traffic.

Cost Implications: Run weekly or when small-file count exceeds threshold. Balance cost vs. read benefit.

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