To process BigQuery data with PySpark on Dataproc, you will need to follow these steps:…
Tag: PySpark
PySpark : Large dataset that does not fit into memory. How can you use PySpark to process this dataset
Processing large datasets that do not fit into memory can be challenging for traditional programming approaches. However, PySpark, a Python…
PySpark : RowMatrix in PySpark : Distributed matrix consisting of rows
RowMatrix is a class in PySpark’s MLLib library that represents a distributed matrix consisting of rows. Each row in the…
PySpark : cannot import name ‘RowMatrix’ from ‘pyspark.ml.linalg’
The RowMatrix class was actually part of the older version of PySpark (before version 3.0), which was under the pyspark.mllib.linalg…
PySpark : Py4JJavaError: An error occurred while calling o46.computeSVD.
The error message “Py4JJavaError: An error occurred while calling o46.computeSVD” usually occurs when there is an issue with the singular…
PySpark : TypeError: Cannot convert type into Vector
The error message “TypeError: Cannot convert type <class ‘pyspark.ml.linalg.DenseVector’> into Vector” usually occurs when you are trying to use an…
MapReduce vs. Spark – A Comprehensive Guide with example
MapReduce and Spark are two widely-used big data processing frameworks. MapReduce was introduced by Google in 2004, while Spark was…
PySpark : Dropping duplicate rows in Pyspark – A Comprehensive Guide with example
PySpark provides several methods to remove duplicate rows from a dataframe. In this article, we will go over the steps…
PySpark : Replacing null column in a PySpark dataframe to 0 or any value you wish.
To replace null values in a PySpark DataFrame column that contain null with a numeric value (e.g., 0), you can…
PySpark : unix_timestamp function – A comprehensive guide
One of the key functionalities of PySpark is the ability to transform data into the desired format. In some cases,…
PySpark : Reading parquet file stored on Amazon S3 using PySpark
To read a Parquet file stored on Amazon S3 using PySpark, you can use the following code: from pyspark.sql import…