Browse other questions tagged, Where developers & technologists share private knowledge with coworkers, Reach developers & technologists worldwide, @desertnaut: this is a pretty faster, takes only decim seconds :D, This works for the case when all values in the column are null. asc Returns a sort expression based on the ascending order of the column. Content Discovery initiative April 13 update: Related questions using a Review our technical responses for the 2023 Developer Survey, How to check if spark dataframe is empty in pyspark. Presence of NULL values can hamper further processes. Using df.first() and df.head() will both return the java.util.NoSuchElementException if the DataFrame is empty. Could a subterranean river or aquifer generate enough continuous momentum to power a waterwheel for the purpose of producing electricity? The following code snippet uses isnull function to check is the value/column is null. Compute bitwise OR of this expression with another expression. PySpark - Find Count of null, None, NaN Values - Spark by {Examples} Spark Find Count of Null, Empty String of a DataFrame Column To find null or empty on a single column, simply use Spark DataFrame filter () with multiple conditions and apply count () action. Content Discovery initiative April 13 update: Related questions using a Review our technical responses for the 2023 Developer Survey, Sparksql filtering (selecting with where clause) with multiple conditions. This take a while when you are dealing with millions of rows. If you convert it will convert whole DF to RDD and check if its empty. Finding the most frequent value by row among n columns in a Spark dataframe. Writing Beautiful Spark Code outlines all of the advanced tactics for making null your best friend when you work . pyspark - check if a row value is null in spark dataframe - Stack Overflow PySpark Replace Empty Value With None/null on DataFrame
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