Maximum Temperatures With Spark Languages

Kevin Feasel

2016-11-04

Spark

Praveen Sripati has a two-part series on getting aggregates by year in various Spark languages.  In part one, he looks at Python:

Hadoop – The Definitive Guide revolves around the example of finding the maximum temperature for a particular year from the weather data set. The code for the same is here and the data here. Below is the Spark code implemented in Python for the same.

In part 2, he looks at Spark SQL:

In the previous blog, we looked at how find out the maximum temperature of each year from the weather dataset. Below is the code for the same using Spark SQL which is a layer on top of Spark. SQL on Spark was supported using Shark which is being replaced by Spark SQL.Here is a nice blog from DataBricks on the future of SQL on Spark.

There’s no Scala example here, but it’s pretty straightforward as well.

Related Posts

When Not to Use Spark

Ramandeep Kaur gives us several cases when it makes sense not to use Apache Spark: There can be use cases where Spark would be the inevitable choice. Spark considered being an excellent tool for use cases like ETL of a large amount of a dataset, analyzing a large set of data files, Machine learning, and […]

Read More

Hyperparameter Tuning with MLflow

Joseph Bradley shows how you can perform hyperparameter tuning of an MLlib model with MLflow: Apache Spark MLlib users often tune hyperparameters using MLlib’s built-in tools CrossValidator and TrainValidationSplit.  These use grid search to try out a user-specified set of hyperparameter values; see the Spark docs on tuning for more info. Databricks Runtime 5.3 and 5.3 ML and above support […]

Read More

Categories

November 2016
MTWTFSS
« Oct Dec »
 123456
78910111213
14151617181920
21222324252627
282930