1. Spark's components
2. Spark SQL Architecture
3. SQL Data Types
4. Spark's context objects
5. File Formats Supported By Spark
6. SQL Workflow
7. Catalyst Optimizer
Below steps explain the workflow of the catalyst optimizer: 1. Analyzing a logical plan with the metadata 2. Optimizing the logical plan 3. Creating multiple physical plans 4. Analyzing the plans and finding the most optimal physical plan 5. Converting the physical plan to RDDs
Pages
- Index of Lessons in Technology
- Index of Book Summaries
- Index of Book Lists And Downloads
- Index For Job Interviews Preparation
- Index of "Algorithms: Design and Analysis"
- Python Course (Index)
- Data Analytics Course (Index)
- Index of Machine Learning
- Postings Index
- Index of BITS WILP Exam Papers and Content
- Lessons in Investing
- Index of Math Lessons
- Downloads
- Index of Management Lessons
- Book Requests
- Index of English Lessons
- Index of Medicines
- Index of Quizzes (Educational)
Wednesday, February 8, 2023
Spark SQL in Images
Labels:
Spark,
Technology
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