Danil Kirsanov created SPARK-20563: -------------------------------------- Summary: going to DataFrame to RDD and back changes the schema, if the schema is not explicitly provided Key: SPARK-20563 URL: https://issues.apache.org/jira/browse/SPARK-20563 Project: Spark Issue Type: Bug Components: PySpark Affects Versions: 2.1.0 Reporter: Danil Kirsanov Priority: Minor
df.rdd.toDF() converts the DataFrame of IntegerType to the LongType if the schema is not explicitly provided in toDF(). Below is a full reproduction code ------------------------------------- from pyspark.sql.types import IntegerType, StructType, StructField schema = StructType([StructField("a",IntegerType(),True), StructField("b",IntegerType(),True)]) df_test = spark.createDataFrame([(1,2)], schema) df_test.printSchema() df_test.rdd.toDF().printSchema() -- This message was sent by Atlassian JIRA (v6.3.15#6346) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org