pyspark.sql.functions.from_unixtime The "from_unixtime()" function is a PySpark function that allows you to convert a Unix…
Tag: Spark_Interview
PySpark : Date Formatting : Converts a date, timestamp, or string to a string value with specified format in PySpark
pyspark.sql.functions.date_format In PySpark, dates and timestamps are stored as timestamp type. However, while working with timestamps in PySpark, sometimes it…
PySpark : Adding a specified number of days to a date column in PySpark
pyspark.sql.functions.date_add The date_add function in PySpark is used to add a specified number of days to a date column. It’s…
PySpark : How to Compute the cumulative distribution of a column in a DataFrame
pyspark.sql.functions.cume_dist The cumulative distribution is a method used in probability and statistics to determine the distribution of a random variable,…
PySpark : How to convert a sequence of key-value pairs into a dictionary in PySpark
pyspark.sql.functions.create_map create_map is a function in PySpark that is used to convert a sequence of key-value pairs into a dictionary….
PySpark : Truncate date and timestamp in PySpark [date_trunc and trunc]
pyspark.sql.functions.date_trunc(format, timestamp) Truncation function offered by Spark Dateframe SQL functions is date_trunc(), which returns Date in the format “yyyy-MM-dd HH:mm:ss.SSSS”…
PySpark : Explain map in Python or PySpark ? How it can be used.
‘map’ in PySpark is a transformation operation that allows you to apply a function to each element in an RDD…
PySpark : Explanation of MapType in PySpark with Example
MapType in PySpark is a data type used to represent a value that maps keys to values. It is similar…
PySpark : Explain in detail whether Apache Spark SQL lazy or not ?
Yes, Apache Spark SQL is lazy. In Spark, the concept of “laziness” refers to the fact that computations are not…
PySpark : Generate a sequence number based on a specific order of the DataFrame
You can also use the row_number() function with over() clause to generate a sequence number based on a specific order…
PySpark : Generates a unique and increasing 64-bit integer ID for each row in a DataFrame
pyspark.sql.functions.monotonically_increasing_id A column that produces 64-bit integers with a monotonic increase. The created ID is assured to be both singular…