8639/how-can-i-convert-spark-dataframe-to-spark-rdd
To convert Spark Dataframe to Spark RDD use .rdd method.
val rows: RDD[row] = df.rdd
You can use PySpark like this:
rdd = df.rdd.map(tuple)
or
rdd = df.rdd.map(list)
Assuming your RDD[row] is called rdd, you can use:
val sqlContext = new SQLContext(sc) import sqlContext.implicits._ rdd.toDF()
SqlContext has a number of createDataFrame methods ...READ MORE
You have to use the comparison operator ...READ MORE
You can save the RDD using saveAsObjectFile and saveAsTextFile method. ...READ MORE
Hi, In Spark, fill() function of DataFrameNaFunctions class is used to replace ...READ MORE
You can create a DataFrame from the ...READ MORE
Instead of spliting on '\n'. You should ...READ MORE
JDBC is not required here. Create a hive ...READ MORE
Please check the below mentioned links for ...READ MORE
// Collect data from input avro file ...READ MORE
Yes, you can go ahead and write ...READ MORE
OR
At least 1 upper-case and 1 lower-case letter
Minimum 8 characters and Maximum 50 characters
Already have an account? Sign in.