HintsToday
Hints and Answers for Everything
recent posts
- what APIs are, why they exist, and how we use them in Python?
- Python Strings- complete notes + interview Q&A
- Memory Management in PySpark- CPU Cores, executors, executor memory
- Memory Management in PySpark- Scenario 1, 2
- Develop and maintain CI/CD pipelines using GitHub for automated deployment, version control
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Author: lochan2014
For Better understanding on Spark SQL windows Function and Best Usecases do refer our post Window functions in Oracle Pl/Sql and Hive explained and compared with examples. Window functions in Spark SQL are powerful tools that allow you to perform calculations across a set of table rows that are somehow related to the current row.…
Here’s an enhanced Spark SQL cheatsheet with additional details, covering join types, union types, and set operations like EXCEPT and INTERSECT, along with options for table management (DDL operations like UPDATE, INSERT, DELETE, etc.). This comprehensive sheet is designed to help with quick Spark SQL reference. Category Concept Syntax / Example Description Basic Statements SELECT SELECT col1, col2 FROM table WHERE…
Comparative overview of partitions, bucketing, segmentation, and broadcasting in PySpark, Spark SQL, and Hive QL in tabular form, along with examples Here’s a comparative overview of partitions, bucketing, segmentation, and broadcasting in PySpark, Spark SQL, and Hive QL in tabular form, along with examples: Concept PySpark Spark SQL Hive QL Partitions df.repartition(numPartitions, “column”) creates partitions based on specified column. CREATE TABLE table_name PARTITIONED BY (col1 STRING) allows data to be organized by partition. ALTER TABLE…