对于json对象中包含不同的key值,需要先获取所有key, 将json字符串转为struct对象, 然后再转为多列 from pyspark import SparkConf,SparkContext,SparkContext,SQLContext from pyspark.sql import SparkSession,SQLContext,functions,types,DataFrame,SQLContext,HiveContext,SparkSession from pyspark.sql.functions import ...
schema=StructType([StructField('A',BinaryType()), StructField('B',ArrayType(elementType=IntegerType())), StructField('C', DecimalType())]) spark=SparkSession.builder.appName("jsonRDD").getOrCreate() df=spark.createDataFrame(data,schema) 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12...
If you want to flatten the arrays, use flatten function which converts array of array columns to a single array on DataFrame. from pyspark.sql.functions import flatten df.select(df.name,flatten(df.subjects)).show(truncate=False) Outputs: +---+---+ |name |flatten(subjects) | +---+--...
def flatten(df: DataFrame, delimiter="_") -> DataFrame: ''' Flatten nested struct columns in `df` by one level separated by `delimiter`, i.e.: df = [ {'a': {'b': 1, 'c': 2} } ] df = flatten(df, '_') -> [ {'a_b': 1, 'a_c': 2} ] ''' flat_cols = [nam...
pyspark Pyspak - flatten json文件+---+---+---+---
Convert an ISO 8601 formatted date string to date type Convert a custom formatted date string to date type Get the last day of the current month Convert UNIX (seconds since epoch) timestamp to date Load a CSV file with complex dates into a DataFrame Unstructured Analytics Flatten top level...
PySpark: Flatten Struct Question: Can PySpark be used to flatten an object marked asstruct? root |-- key: struct (nullable = true) | |-- id: string (nullable = true) | |-- type: string (nullable = true) | |-- date: string (nullable = true) ...
Performing Grouping and Aggregation on a PySpark Column Containing an Array, Order-specific concatenation of string columns using groupby in PySpark, Merge Multiple ArrayType Fields in PySpark DataFrames into a Single ArrayType Field
PySpark DataFrame StructType similar to when using createDataFrame. - - Ex: StructType([StructField('cola', StringType()), StructField('colb', IntegerType())]) - - A string of names and types similar to what is supported in createDataFrame. - - Ex: cola: STRING, colb: INT - - [Not...
infer_signature from mlflow.types.schema import * from pyspark.sql import functions as F from pyspark.sql.functions import struct,col, pandas_udf, PandasUDFType, struct import pickle from tensorflow.python.util import lazy_loader import tensorflow as tf from tensorflow.estimator import Estimator from...