StructField--定义DataFrame列的元数据 PySpark 提供pyspark.sql.types import StructField类来定义列,包括列名(String)、列类型(DataType)、可空列(Boolean)和元数据(MetaData)。 将PySpark StructType & StructField 与 DataFrame 一起使用 在创建 PySpark DataFrame 时,我们可以使用 StructType 和 StructField 类指定...
The StructType and StructField classes in PySpark are used to specify the custom schema to the DataFrame and create complex columns like nested struct, array, and map columns. StructType is a collection of StructField objects that define column name, column data type, boolean to specify if the ...
我在PySpark中遇到了同样的问题，我通过在阅读不兼容的 Dataframe 时提供模式来解决它
Pyspark - Flatten Nested Spark Dataframe, Is there a way to flatten an arbitrarily nested Spark Dataframe? Most of the work I'm seeing is written for specific schema, and I'd like to be able to generically flatten a Dataframe with different nested types (e.g. StructType, ArrayType, MapTy...
scala 如何将两个spark Dataframe 与一个可以不同的struct类型的字段结合起来？但我想补充的是，为了让...
b))#左右根据列拼接 a_b_row = np.row_stack((a,b))#上下按照行拼接 print ...
df=self.spark.createDataFrame([{'a':1}], ["b"]) self.assertEqual(df.columns, ['b']) Expand Down 26 changes: 17 additions & 9 deletions26python/pyspark/sql/types.py Original file line numberDiff line numberDiff line change Expand Up@@ -1003,7 +1003,7 @@ def _int_size_to_type...
Spark SQL - createDataFrame错误的struct schema尝试使用Spark SQL创建DataFrame时，通过传递一个行列表，...
pyspark.sql.functions as F但我知道这个错误: pyspark.sql.utils.AnalysisException: Parquet数据源不支持空数据类型。 浏览23提问于2022-10-18得票数3 回答已采纳 1回答 用电火花将DataFrame写入TextFile 、、 df2.write.format('text').mode('overwrite').save('/tmp/hive/save_text') 代码:org.apach...