from pyspark.sql.functions import explode, first, col, monotonically_increasing_id from pyspark.sql import Row df = spark.createDataFrame([ Row(dataCells=[Row(posx=0, posy=1, posz=.5, value=1.5, shape=[Row(_type='square', _len=1)]), Row(posx=1, posy=3, posz=.5, value=4.5,...
pyspark.sql.types.ArrayType() pyspark.sql.types.IntegerType() pyspark.sql.types.LongType() pyspark.sql.types.StructField() pyspark.sql.types.StructType() pyspark.sql.types.StringType() pyspark.sql.types.DoubleType() prometheus_client.Counter() prometheus_client.Summary() prometheus_...
Solution: PySpark explode function can be used to explode an Array of Array (nested Array)ArrayType(ArrayType(StringType))columns to rows on PySpark DataFrame using python example. Before we start, let’s create a DataFrame with a nested array column. From below example column “subjects” is...