Performance Tuning in Delta Lake

Delta Lake is an open source data lake that supports ACID transactions and provides reliable data versioning and schema evolution capabilities. This chapter covers several techniques to optimize query performance in Delta Lake, including optimizing table partitioning, caching tables for fast query response, organizing data with Z-ordering, skipping data for faster query execution, reducing table size and I/O cost with compression, and boosting query performance.

We will cover the following recipes in this chapter:

• Optimizing Delta Lake table partitioning for query performance
• Organizing data with Z-ordering for efficient query execution
• Skipping data for faster query execution
• Reducing Delta Lake table size and I/O cost with compression

By the end of this chapter, you will have a solid understanding of how to tune Delta Lake tables for optimal performance and how to avoid or solve performance problems. You will also learn...