Spark RDD to DataFrame python

Question

I am trying to convert the Spark RDD to a DataFrame  I have seen the documentation and example where the scheme is passed to  sqlContext CreateDataFrame rdd schema  function    But I have 38 columns or fields and this will increase further  If I manually give the schema specifying each field information  that it going to be so tedious job   Is there any other way to specify the schema without knowing the information of the columns prior

User · Answer

Try if that works  sc   spark sparkContext    Infer the schema  and register the DataFrame as a table  schemaPeople   spark createDataFrame RddName  schemaPeople createOrReplaceTempView  RddName

User · Answer

I liked Arun s answer better but there is a tiny problem and I could not comment or edit the answer  sparkContext does not have createDeataFrame  sqlContext does  as Thiago mentioned   So   from pyspark sql import SQLContext    assuming the spark environemnt is set and sc is spark sparkContext  sqlContext   SQLContext sc  schemaPeople   sqlContext createDataFrame RDDName  schemaPeople createOrReplaceTempView  RDDName

User · Answer

See   There are two ways to convert an RDD to DF in Spark   toDF   and createDataFrame rdd  schema   I will show you how you can do that dynamically   toDF    The toDF   command gives you the way to convert an RDD Row  to a Dataframe  The point is  the object Row   can receive a   kwargs argument  So  there is an easy way to do that   from pyspark sql types import Row   here you are going to create a function def f x       d          for i in range len x            d str i     x i      return d   Now populate that df   rdd map lambda x  Row   f x    toDF     This way you are going to be able to create a dataframe dynamically   createDataFrame rdd  schema   Other way to do that is creating a dynamic schema  How   This way   from pyspark sql types import StructType from pyspark sql types import StructField from pyspark sql types import StringType  schema   StructType  StructField str i   StringType    True  for i in range 32     df   sqlContext createDataFrame rdd  schema    This second way is cleaner to do that     So this is how you can create dataframes dynamically

[python] Spark RDD to DataFrame python

Examples related to python

Examples related to apache-spark

Examples related to pyspark

Examples related to spark-dataframe