DATA { string name string age // 初始为字符串 string salary // 初始为字符串 } CONVERTED_DATA { string name int age // 转换为整数 float salary // 转换为浮点数 } DATA ||--o{ CONVERTED_DATA : converts to 结论 通过上述步骤,我们详细讲解了如何在
def tax(salary): """ convert string to int and cut 15% tax from the salary :param salary: The salary of staff worker :return: """ return 0.15 * int(salary) 将tools文件夹压缩后上传至OSS中。本文示例为tools.tar.gz。 说明 如果依赖多个Python文件,建议您使用gz压缩包进行压缩。您可以在Pytho...
⚠️注意:以下需要在企业服务器上的jupyter上操作,本地jupyter是无法连接公司hive集群的 利用PySpark读写Hive数据 # 设置PySpark参数 from pyspark.sql...comment "id" ,dtype string comment "类型" ,cnt int comment "数量" ) ROW FORMAT SERDE...__len__()): # 插入的数据类型需要与数据库中字段类型...
from pyspark.sql.types import DoubleType, StringType, IntegerType, FloatType from pyspark.sql.types import StructField from pyspark.sql.types import StructType PYSPARK_SQL_TYPE_DICT = { int: IntegerType(), float: FloatType(), str: StringType() } # 生成RDD rdd = spark_session.sparkContext....
Convert String to Double Convert String to Integer Get the size of a DataFrame Get a DataFrame's number of partitions Get data types of a DataFrame's columns Convert an RDD to Data Frame Print the contents of an RDD Print the contents of a DataFrame Process each row of a DataFrame DataFra...
Convert String to Double Convert String to Integer Get the size of a DataFrame Get a DataFrame's number of partitions Get data types of a DataFrame's columns Convert an RDD to Data Frame Print the contents of an RDD Print the contents of a DataFrame Process each row of a DataFrame DataFra...
利用反射机制推断RDD 在利用反射机制推断RDD模式时,需要首先定义一个case class,因为,只有case class才能被Spark隐式地转换为DataFrame。...package cn.bx.spark import org.apache.spark.rdd.RDD import org.apache.spark.sql...{DataFrame, Encoder, SparkSession} case class People(name :String,age:Int) objec...
# Import the required functionfrom pyspark.sql.functions importround# Convert 'mile' to 'km' and drop 'mile' columnflights_km=flights.withColumn('km',round(flights.mile*1.60934,0))\.drop('mile')# Create 'label' column indicating whether flight delayed (1) or not (0)flights_km=flights_km...
方便之后进行管道处理,分类大于25的只进行stringindex转换,小于25的进行onehot变换 If any column has > 25 categories, add that column to drop list (line 24) or convert to continious variable if possible # 运行时间长 # Check if there are categorical vars with 25+ levels string_more_than32=[]...
#convert to a UDF Function by passing in the function and return type of function udfsomefunc = F.udf(somefunc, StringType()) ratings_with_high_low = ratings.withColumn("high_low", udfsomefunc("rating")) ratings_with_high_low.show() ...