schema = "orderID INTEGER, customerID INTEGER, productID INTEGER, state STRING, 支付方式 STRING, totalAmt DOUBLE, invoiceTime TIMESTAMP" first_row_is_header = "True" delimiter = "," #将 CSV 文件读入 DataFrame df = spark.read.format(file_type) \ .schema(schema) \ .option("header", fi...
#方式1 df = spark.read.option("header","true") \ .option("inferSchema","true") \ .option("delimiter", ",") \ .csv("test.csv") #方式2 df = spark.read.format("com.databricks.spark.csv") \ .option("header", "true") \ .option("inferSchema", "true") \ .option("delimiter",...
Let’s import thepyspark.sql.functions import splitand use thesplit()function with select() to split the string columnnameby comma delimiter and create an array. The select() method just returns the array column. # Import from pyspark.sql.functions import split, col # using split() df2 = ...
For instance, when breaking a comma-separated string into separate columns for first and last names, the code snippet utilizessplit(full_name, ",")and assigns the resulting array elements to new columns. This approach is versatile, allowing customization based on delimiter or pattern, providing a...
35. 0, length, new String[0])); 36. } 37. } 38. // Save the number of input files for metrics/loadgen 39. job.getConfiguration().setLong(NUM_INPUT_FILES, files.size()); 40. "Total # of splits: " + splits.size()); ...
split(",") return (items[0], items[1], items[2]) if __name__ == "__main__": sc = SparkContext(appName="CSV2Parquet") sqlContext = SQLContext(sc) schema = StructType([ StructField("identity_line_item_id", StringType(), True), StructField("identity_time_interval", StringType...
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...
sql_context=SQLContext(spark)gzfile=main_dir+'\\*.gz'%base_weeksc_file=spark.textFile(gzfile)csv=sc_file.map(lambdax:x.split("\t"))rows=csv.map(lambdap:Row(ID=p[0],Category=p[1],FIPS=p[2],date_idx=p[3]))All_device_list=sql_context.createDataFrame(rows) ...
# Give regex expression to split your string based on anticipated delimiters (this could be dangerous # if those delimiter occur as part of value. e.g.: 2021-12-31 is a single value in reality. # But this a price we have to pay for not having good data). ...
9.131 pyspark.sql.functions.split(str,pattern):New in version 1.5. 将模式分割(模式是正则表达式)。 注:pattern是一个字符串表示正则表达式。 >>> df=sqlContext.createDataFrame([('ab12cd',)],['s',]) >>> df.select(split(df.s,'[0-9]+').alias('s')).collect()[Row(s=[u'ab', u'cd...