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Ordered from basic to advanced. 61 posts in total.

Spark

Top Apache Spark interview questions, with answers

Jun 11, 2026 207 min read

#Spark
#Interview
#Reference
#Scenarios

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Inside Apache Spark Architecture views
Apache Spark Cheat Sheet views
Hudi vs Iceberg vs Delta Lake views
Datalake Docker Demos views
Why Iceberg Exists views
Getting Started with Apache Hudi views
Iceberg Playground views
Parquet Command Line Tools views
Spark Submit Formatter views
Spark Configuration Generator views
Iceberg Three Tiers views
Apache Iceberg Cheat Sheet views
Inside the Catalyst Optimizer views
Spark Adaptive Query Execution views
Join Strategies in Apache Spark views
Spark Memory Management views
Shuffle Partition Generator views
Inside Apache Hudi Architecture views
Hudi Index Types views
Hudi Merge-on-Read views
Apache Hudi Cheat Sheet views
Inside Apache Iceberg Architecture views
Iceberg Catalogs views
Iceberg Write Path views
Iceberg Read Path views
Iceberg Format Versions views
Iceberg Schema Evolution views
Iceberg Partitioning views
Iceberg Ingestion views
XTable Incremental Sync views
Apache XTable Cheat Sheet views
Spark Shuffle Internals views
Fixing Data Skew views
Spark Performance Tuning views
DataFusion Comet views
Spark Release History views
Spark Connect views
Structured Streaming views
Streaming Into Iceberg views
Copy-on-Write vs Merge-on-Read views
CDC Into Iceberg views
Iceberg Time Travel views
Spark Connect with Apache Iceberg views
Spark Connect with Apache Hudi views
Iceberg on Polaris views
Hudi Key Generators views
Spark Submit for Iceberg views
Iceberg Branching and Tagging views
Table Maintenance views
Hudi Concurrency Control views
Lakehouse Interoperability views
Iceberg Views views
Hive To Iceberg views
Iceberg Sorting and Clustering views
Iceberg In Production views
Hudi Incremental Processing views
Spark and Hudi Logging views
Spark JVM Troubleshooting views
Streaming Query Logging views
Kerberos Setup on Linux views
Top Apache Spark Interview Questions views

Categories

Hudi 10
Iceberg 23
Lakehouse 6
Linux 1
Spark 20
Tools 1

Tags

AQE2 Architecture4 Arrow2 Branching1 CDC2 Catalog4 Catalogs1 Catalyst2 Checkpoints1 Cleaning1 Clustering1 Codegen1 Comet1 Commits1 Compaction5 Compatibility2 Concurrency3 Configuration1 DataFusion1 Defaults1 Deletes3 Delta5 Docker2 Evolution1 Generator1 Governance1 History1 Hive2 Hudi16 Iceberg30 Incremental1 Indexing3 Ingestion1 Internals9 Interoperability1 Interview1 Joins3 Kerberos1 KeyGenerator1 Lakehouse8 Lineage1 Linux1 Locking1 Log4j2 Logging3 Maintenance1 Manifests1 Memory1 Merge1 Metadata4 Migration2 MinIO2 Optimizer1 Overwrite1 Paimon1 Parquet2 Partitioning2 Performance6 Polaris1 Production3 Pruning2 PySpark2 Query1 REST1 Recovery1 Reference5 Releases1 SQL2 Scenarios1 Scheduling1 Schema1 Security1 Serialization1 Shuffle3 Skew1 Snapshots3 Sorting1 Spark27 SparkConnect3 State1 Storage1 Streaming7 Tagging1 Timeline3 Tools1 Transactions1 Transforms1 Trino1 Troubleshoot2 Tuning6 Upserts1 Utilities4 Views1 WAP1 Watermarks1 XTable3 gRPC1

Hands-on notes, production troubleshooting and interactive tools for Apache Hudi, Iceberg, Spark, Kafka and the lakehouse stack underneath them.

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