Hive Going In-Memory

Kevin Feasel

2016-10-07

Hadoop

Carter Shanklin and Nita Dembla discuss Hive memory-handling optimizations:

Let’s put this architecture to the test with a realistic dataset size and workload. Our previous performance blog, “Announcing Apache Hive 2.1: 25x Faster Queries and Much More”, discussed 4 reasons that LLAP delivers dramatically faster performance versus Hive on Tez. In that benchmark we saw 25+x performance boosts on ad-hoc queries with a dataset that fit entirely into the cluster’s memory.

In most cases, datasets will be far too large to fit in RAM so we need to understand if LLAP can truly tackle the big data challenge or if it’s limited to reporting roles on smaller datasets. To find out, we scaled the dataset up to 10 TB, 4x larger than aggregate cluster RAM, and we ran a number of far more complex queries.

Table 3 below shows how Hive LLAP is capable of running both At Speed and At Scale. The simplest query in the benchmark ran in 2.68 seconds on this 10 TB dataset while the most complex query, Query 64 performed a total of 37 joins and ran for more than 20 minutes.

Given how much faster memory is than disk, and given Spark’s broad adoption, this makes sense as a strategy for Hive’s continued value.

Related Posts

Flint: Time Series With Spark

Li Jin and Kevin Rasmussen cover the concepts of Flint, a time-series library built on Apache Spark: Time series analysis has two components: time series manipulation and time series modeling. Time series manipulation is the process of manipulating and transforming data into features for training a model. Time series manipulation is used for tasks like data […]

Read More

ElasticMapReduce And RStudio

Tanzir Musabbir demonstrates how to set up Amazon ElasticMapReduce to include an RStudio edge node: RStudio Server provides a browser-based interface for R and a popular tool among data scientists. Data scientist use Apache Spark cluster running on  Amazon EMR to perform distributed training. In a previous blog post, the author showed how you can install RStudio Server on Amazon […]

Read More

Categories

October 2016
MTWTFSS
« Sep Nov »
 12
3456789
10111213141516
17181920212223
24252627282930
31