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In pyspark what is the difference between Spark spark.table() and spark.read.table()
In PySpark, spark.table() is used to read a table from the Spark catalog, whereas spark.read.table()…
Spark : Advantages of Google's Serverless Spark
Google's Serverless Spark has several advantages compared to traditional Spark clusters: Cost-effective: Serverless Spark eliminates…
Installing Apache Spark standalone on Linux
Installing Spark on a Linux machine can be done in a few steps. The following…
How to merge multiple PDF files using Python?
Use case : If you have multiple files for example chapter wise question papers etc.…
Learn how to connect Hive with Apache Spark.
HiveContext is a Spark SQL module that allows you to work with Hive data in…
How to run dataframe as Spark SQL - PySpark
If you have a situation that you can easily get the result using SQL/ SQL…
PySpark : How do I read a parquet file in Spark
To read a Parquet file in Spark, you can use the spark.read.parquet() method, which returns…
When you should not use Apache Spark ? Explain with reason.
There are a few situations where it may not be appropriate to use Apache Spark,…
PySpark : How to write Scala code in spark shell ?
To write Scala code in the Spark shell, you can simply start the Spark shell…
Spark : Calculate the number of unique elements in a column using PySpark
pyspark.sql.functions.countDistinct In PySpark, the countDistinct function is used to calculate the number of unique elements…

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