Split() split()sql function returns an array type after splitting the string column by delimiter. Below example split the name column by comma delimiter. frompyspark.sql.functionsimportsplit df.select(split(df.name,",").alias("nameAsArray")).show()+---+|nameAsArray|+---+|[James,,Smith...
from pyspark.sql.functions import udf from pyspark.sql.types import StringType def array_to_string(my_list): return '[' + ','.join([str(elem) for elem in my_list]) + ']' array_to_string_udf = udf(array_to_string, StringType()) df = df.withColumn('column_as_str', array_to_...
The split() function takes the DataFrame column of type String as the first argument and string delimiter as the second argument you want to split on. You can also use the pattern as a delimiter. This function returnspyspark.sql.Columnof type Array. Before we start with usage, first, let...
>>> sqlContext.createDataFrame([('ABC',)], ['a']).select(length('a').alias('length')).collect() [Row(length=3)] 1. 2. 77 pyspark.sql.functions.levenshtein(left, right) 计算两个给定字符串的Levenshtein距离。 >>> from pyspark.sql.functions import * >>> df0 = sqlContext.createDat...
27.split对固定模式的字符串进行分割 28.substring指定起始位置，以及长度进行字符串截取 29.udf 自定义...
I am trying to read a CSV file using Spark 1.6. However, when I add a delimiter with "$", it throws an error as only one delimiter is permitted. Solution 1: Once the DataFrame is created after reading from the source with the primary delimiter (in this case, "|" for better understa...
>>> df=sqlContext.createDataFrame([('abcd',)],['s',])>>> df.select(substring(df.s,1,2).alias('s')).collect()[Row(s=u'ab')] 9.138 pyspark.sql.functions.substring_index(str,delim,count):New in version 1.5. 在计数定界符delimiter之前,返回字符串str的子串。 如果count是正数,则返回最...
ltertable[`<架构名称>`.]`<表名>`addcolumn<字段名><类型>;2、删除列alterta ble[`<架构名称>`.]`<表名>`dropcolumn<字段名>;1、添加列ALTERTABLE[<架构名称> .]<表名>ADD<字段名><类型>;2、删除列ALTERTABLE[<架构名称>.]<表名>DROP<字段名>;1 ...
ltertable[`<架构名称>`.]`<表名>`addcolumn<字段名><类型>;2、删除列alterta ble[`<架构名称>`.]`<表名>`dropcolumn<字段名>;1、添加列ALTERTABLE[<架构名称> .]<表名>ADD<字段名><类型>;2、删除列ALTERTABLE[<架构名称>.]<表名>DROP<字段名>;1 ...
df = spark.createDataFrame(data, columns) # Use the split function to split the "full_name" column by comma split_columns = split(df["full_name"], ",") # Add the split columns to the DataFrame df_with_split = df.withColumn("first_name", split_columns[0]).withColumn("last_name",...