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Dynamic Partition Pruning Before Optimization
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Classroom Contents
How Apache Spark 3.0 and Delta Lake Enhance Data Lake Reliability
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- 1 Introduction
- 2 Who is Danny
- 3 Free Download
- 4 Databricks
- 5 Download the book
- 6 Adaptive Query Execution
- 7 Apache Spark 30
- 8 Performance
- 9 Spark Catalyst Optimizer
- 10 Logical Physical Planning
- 11 Aqe Fundamentals
- 12 Broadcast Hash Joins
- 13 Why not always broadcast join
- 14 Dynamically switch join strategies
- 15 Flipping the switch
- 16 Off script partitioning
- 17 Coalescence
- 18 Table Size
- 19 Coalescing
- 20 Traditional Data Warehousing Problem
- 21 Split Partitioning
- 22 QA Questions
- 23 Dynamic Partition Pruning
- 24 Dynamic Partition Pruning Before Optimization
- 25 Filter Scan
- 26 Results
- 27 Pseudo Rush
- 28 Building Ecosystem
- 29 Data Lake Reliability
- 30 Catalog API
- 31 SQL Statement Support
- 32 Partial Rights
- 33 Delete
- 34 Delete from Events
- 35 History Retention
- 36 Data Source v2 Catalog API
- 37 Data Quality Framework
- 38 Improved Performance
- 39 More About Delta
