DataEngPrep.tech
QuestionsPracticeAI CoachDashboardPacksBlog
ProLogin
Home/Questions/SQL/Explain Dynamic Partition Pruning error and how to fix it.

Explain Dynamic Partition Pruning error and how to fix it.

SQLmedium0.5 min read

**Architectural Logic**: DPP in Spark pushes dimension filters to fact table to skip partitions—type mismatch or missing broadcast breaks it. **Mechanism**: When dimension is filtered and broadcast, Spark pushes partition filter to fact. **Error Causes**: Partition column type...

🤖 Analyze Your Answer
Frequency
Low
Asked at 1 company
Category
487
questions in SQL
Difficulty Split
130E|271M|86H
in this category
Total Bank
1,863
across 7 categories
Asked at these companies
Globant
Key Concepts Tested
joinpartitionsparksql

Why This Question Matters

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

How to Approach This

Break this problem into components. Identify the core trade-offs involved, then walk the interviewer through your reasoning step by step. Demonstrate awareness of edge cases and production considerations - this is what separates good answers from great ones.

Expert Answer
97 words

Architectural Logic: DPP in Spark pushes dimension filters to fact table to skip partitions—type mismatch or missing broadcast breaks it. Mechanism: When dimension is filtered and broadcast, Spark pushes partition filter to fact. Error Causes: Partition column type mismatch (e.g., INT vs STRING); filter not pushed; broadcast hint missing. Fix: (1) Align join key types with partition column. (2) broadcast(dim_df) for small dimension. (3) Enable spark.sql.optimizer.dynamicPartitionPruning.enabled (default true). (4) Ensure partition column in join condition. Scalability: DPP reduces I/O significantly; failure = full scan. Best Practice: Check query plan for DPP; align types; use broadcast for dimensions.

dataengprep.techdataengprep.techdataengprep.techdataengprep.tech
dataengprep.techdataengprep.techdataengprep.techdataengprep.tech
dataengprep.techdataengprep.techdataengprep.techdataengprep.tech
dataengprep.techdataengprep.techdataengprep.techdataengprep.tech
dataengprep.techdataengprep.techdataengprep.techdataengprep.tech
dataengprep.techdataengprep.techdataengprep.techdataengprep.tech

Want feedback on your answer?

Paste your answer to this question and our AI Coach scores it, finds gaps, and shows you the FAANG-level version.

Try Answer Analyzer →
Want all answers as a PDF for offline study?
1,863 questions across 7 categories — Interview Packs →

Free: Top 20 SQL Interview Questions (PDF)

Get the most asked SQL questions with expert answers. Instant download.

No spam. Unsubscribe anytime.

Related SQL Questions

mediumWrite an SQL query to find the second-highest salary from an employee table.FreemediumDemonstrate the difference between DENSE_RANK() and RANK()FreemediumDiscuss differences between ROW_NUMBER(), RANK(), and DENSE_RANK(), and provide examples from your projects.FreemediumExplain the differences between Data Warehouse, Data Lake, and Delta LakeFreemediumExplain the differences between Repartition and Coalesce. When would you use each?Free

Companies that ask this SQL question

Globant interview questions →

Want to know if YOUR answer is good enough?

Paste your answer and get instant AI feedback with a FAANG-level improved version.

Analyze My Answer — Free

According to DataEngPrep.tech, this is one of the most frequently asked SQL interview questions, reported at 1 company. DataEngPrep.tech maintains a curated database of 1,863+ real data engineering interview questions across 7 categories, verified by industry professionals.

← Back to all questionsMore SQL questions →