Hello; I have a simple file of mobile IDFA. they look like gregconv = ['00013FEE-7561-47F3-95BC-CA18D20BCF78', '000D9B97-2B54-4B80-AAA1-C1CB42CFBF3A', '000F9E1F-BC7E-47E1-BF68-C68F6D987B96'] I am trying to make this RDD into a data frame
ConvRecord = Row("IDFA") gregconvdf = gregconv.map(lambda x: ConvRecord(*x)).toDF() i get the following error Traceback (most recent call last): File "<stdin>", line 1, in <module> File "/homes/afarahat/aofspark/share/spark/python/pyspark/sql/context.py", line 60, in toDF return sqlContext.createDataFrame(self, schema, sampleRatio) File "/homes/afarahat/aofspark/share/spark/python/pyspark/sql/context.py", line 351, in createDataFrame _verify_type(row, schema) File "/homes/afarahat/aofspark/share/spark/python/pyspark/sql/types.py", line 1027, in _verify_type "length of fields (%d)" % (len(obj), len(dataType.fields))) ValueError: Length of object (36) does not match with length of fields (1) -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/How-do-i-specify-the-data-types-in-a-DF-tp24090.html Sent from the Apache Spark User List mailing list archive at Nabble.com. --------------------------------------------------------------------- To unsubscribe, e-mail: user-unsubscr...@spark.apache.org For additional commands, e-mail: user-h...@spark.apache.org