both cache() and persist() store data in memory to speed up the retrieval of intermediate data used for computation. However, persist() is more flexible and allows users to specify storage…
Slowly Changing Dimensions (SCD) are used in data warehousing to manage historical changes in dimension tables. There are several types of SCDs, each handling data changes differently. Types of SCDs…
Set speculative execution configuration -> spark.speculation = True read more here
In this article, we are converting the SQL queries to Pyspark code Task SQL Command PySpark Command Selecting Data SELECT col1, col2 FROM table; df.select(“col1”, “col2”) Filtering Data SELECT *…
PySpark Interview Questions (lec 6) How to read files in spark? You are going to see how to read different file formats in pyspark. first, you need to create the…
Handling skewed data in PySpark is crucial for optimizing performance and ensuring efficient processing. Skewed data occurs when some partitions have significantly more data than others, leading to uneven workload…
Steps: 1. Iterate through the array nums from index 0 to len(nums) – k. 2. For each window of size k, find the maximum element. 3. Store the maximum value…
Given a string s containing just the characters '(', ')', '{', '}', '', determine if the input string is valid. An input string is valid if: Example 1: Input: s…
Given an array of intervals where intervals = , merge all overlapping intervals, and return an array of the non-overlapping intervals that cover all the intervals in the input. Example…
Programming/Algorithm Question:You are acting as a bank. You are given a list of customers’ transactions.The transactions can be either a deposit (positive value) or awithdrawal(negative value). The initial balance in…
Vishal Jadhav