I have 2 dataframes:
I have 2 dataframes:
Id purchase_count purchase_sim 12 100 1500 13 1020 1300 14 1010 1100 20 1090 1400 21 1300 1600
Id click_count click_sim 12 1030 2500 13 1020 1300 24 1010 1100 30 1090 1400 31 1300 1600
I need to get the combined data frame with results as :
Id click_count click_sim purchase_count purchase_sim 12 1030 2500 100 1500 13 1020 1300 1020 1300 14 null null 1010 1100 24 1010 1100 null null 30 1090 1400 null null 31 1300 1600 null null 20 null null 1090 1400 21 null null 1300 1600
I can't use union because of different column names. Can some one suggest me a better way to do this ?
Apache Spark is a popular open-source data processing framework. This widely-known big data platform provides several exciting features, such as graph processing, real-time processing, in-memory processing, batch processing and more quickly and easily.
Welcome to some practical explanations to Apache Spark with Scala. There is even Python supported Spark is available which is PySpark. For the sake of this post, I am continuing with Scala with my windows Apache Spark installation.
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You will learn what apache spark is, the features of Apache Spark, and the architecture of Apache Spark. You will understand the various components of Apache Spark, such as Spark Core, Spark SQL, Spark Streaming, Spark MLlib, and Spark GraphX. You will look into a case study of Spark for OpenTable company. Finally, you will do a demo on linear regression and logistic regression using PySpark.