可以选择性地使用 PythonStructType或 SQL DDL 字符串指定表架构。 如果使用 DDL 字符串指定了表架构,则定义可以包括生成的列。 以下示例使用一个通过 PythonStructType指定的架构创建名为sales的表: Python复制 sales_schema = StructType([ StructField("customer_id",
return None parse_log_udf = udf(parse_log, StructType([ StructField("timestamp", StringType(), True), StructField("level", StringType(), True), StructField("message", StringType(), True) ])) log_df = log_df.withColumn("parsed", parse_log_udf(log_df.value)) log_df = log_df....
frompyspark.sqlimportSparkSessionfrompyspark.sql.typesimportStructType,StructField,IntegerType,StringTypei...
$example off:init_session$ $example on:schema_inferring$ from pyspark.sql import Row $example off:schema_inferring$ $example on:programmatic_schema$ Import data types from pyspark.sql.types import * $example off:programmatic_schema$ def basic_df_example(spark): $example on:create_df$ # spark...
struct1 = StructType([ StructField("user", StringType(), True), StructField("vedios", StringType(), True), StructField("id", IntegerType(), True) ]) df = spark.read.csv(path, schema=struct1, sep="\t", header=True) df.createOrReplaceTempView("users1") ...
from pyspark.sql.types import StructField, StructType, BinaryType, StringType, ArrayType, ByteType from sklearn.naive_bayes import GaussianNB import os from sklearn.externals import joblib import pickle import scipy.sparse as sp from sklearn.svm import SVC ...
schema = StructType([StructField("name", StringType(), True),StructField("gender", StringType(), True),StructField("age",IntegerType(), True)]) rowRDD = studentRDD.map(lambda p : Row(p[1].strip(), p[2].strip(),int(p[3]))) ...
schema = StructType([StructField("id", IntegerType(), True), StructField("name", StringType(), True), StructField("gender", StringType(), True), StructField("age", IntegerType(), True)]) rowRDD = studentRDD.map(lambda p: Row(int(p[0]), p[1].strip(), p[2].strip(), int...
AnalyzeResult class fieldDescription schema The schema of the result table as a StructType. withSinglePartition Whether to send all input rows to the same UDTF class instance as a BooleanType. partitionBy If set to non-empty, all rows with each unique combination of values of the partitioning ...
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