Tag: Big Data
Coping files from Hadoop’s HDFS (Hadoop Distributed File System) to your local machine
To copy files from Hadoop’s HDFS (Hadoop Distributed File System) to your local machine, you can use the hadoop fs…
Optimizing PySpark queries with adaptive query execution – (AQE) – Example included
Spark 3+ brought numerous enhancements and features, and one of the notable ones is Adaptive Query Execution (AQE). AQE is…
PySpark : Calculate the Euclidean distance or the square root of the sum of the squares of its arguments using PySpark.
In PySpark, the hypot function is a mathematical function used to calculate the Euclidean distance or the square root of…
PySpark : How to perform compute covariance using covar_pop and covar_samp with PySpark
Covariance is a statistical measure that indicates the extent to which two variables change together. If the variables increase and…
Navigating job dependencies in AWS glue – Managing ETL workflows
AWS Glue manages dependencies between jobs using triggers. Triggers can start jobs based on the completion status of other jobs,…
Spark repartition() vs coalesce() – A complete information
In PySpark, managing data across different partitions is crucial for optimizing performance, especially for large-scale data processing tasks. Two methods…
Grouping and aggregating multi-column data with PySpark – Complete example included
The groupBy function is widely used in PySpark SQL to group the DataFrame based on one or multiple columns, apply…
Aggregating Insights: A deep dive into the fold function in PySpark with practical examples
Understanding spark RDDs RDDs are immutable, distributed collections of objects, and are the backbone of Spark. RDDs enable fault-tolerant parallel…
Converting delimiter-separated strings to array columns using PySpark
PySpark allows for a seamless and efficient way to handle big data processing and manipulation tasks. In this article, we…
Spark’s cluster connectivity issues – AppClient$ClientActor – SparkDeploySchedulerBackend – TaskSchedulerImpl
Apache Spark, a powerful tool for distributed computing, occasionally confronts users with connectivity and cluster health issues. Among them, the…
