import findspark findspark.init() import os import sys spark_name = os.environ.get('SPARK_HOME',None) if not spark_name: raise ValueErrorError('spark环境没有配置好') sys.path.insert(0,os.path.join(spark_name,'python')) sys.path.insert(0,os.path.join(spark_name,'D:\spark-3.0.0-p...
substring(str, pos, len): Substring starts at pos and is of length len when str is String type or returns the slice of byte array that starts at pos in byte and is of length len when str is Binary type. substring_index(str, delim, count): Returns the substring from string str befor...
schema.add_table( - 'employee', - { - 'employee_id': 'INT', - 'fname': 'STRING', - 'lname': 'STRING', - 'age': 'INT', - }, - dialect=dialect, -) # Register the table structure prior to reading from the table - -spark = SparkSession.builder.config("sqlframe.dialect", ...
Filter a Dataframe based on a custom substring search from pyspark.sql.functions import col df = auto_df.where(col("carname").like("%custom%")) # Code snippet result: +---+---+---+---+---+---+---+---+---+ | mpg|cylinders|displacement|horsepower|weight|acceleration|modelyear|...
from pyspark.sql.functions import substring df = spark.createDataFrame([('abcd',)], ['s']) df.select(substring(df.s, 1, 2).alias('s')).show() #1与2表示开始与截取长度 6.正则表达式替换 from pyspark.sql.functions import regexp_replace ...
String Functions # Substring - col.substr(startPos, length)df=df.withColumn('short_id',df.id.substr(0,10))# Trim - F.trim(col)df=df.withColumn('name',F.trim(df.name))# Left Pad - F.lpad(col, len, pad)# Right Pad - F.rpad(col, len, pad)df=df.withColumn('id',F.lpad('id...
Filter a Dataframe based on a custom substring search from pyspark.sql.functions import col df = auto_df.where(col("carname").like("%custom%")) # Code snippet result: +---+---+---+---+---+---+---+---+---+ | mpg|cylinders|displacement|horsepower|weight|acceleration|modelyear|...
StringType(), False), - types.StructField('age', types.IntegerType(), False), -]) - -sql_statements = ( - SparkSession - .builder - .config("sqlframe.dialect", "bigquery") - .getOrCreate() - .createDataFrame(data, schema) - .groupBy(F.col("age")) - .agg(F.countDistinct(F...