Presto currently doesnot support Hive Views. Create a new view of a SELECT query. Difference between hive view and a hive external table When should it be used Learn Hive - Hive tutorial - using apache hive with high performance - Hive examples - Hive programs A view is a query which is defined as a table. Apache Hive is a data warehousing tool designed to easily output analytics results to Hadoop. Instead, the query stored by the view is executed everytime the view is referenced by another query. Presto started as a project at Facebook, to run interactive analytic queries against a 300PB data warehouse, built with large Hadoop/HDFS-based clusters.Prior to building Presto, Facebook used Apache Hive, which it created and rolled out in 2008, to bring the … These views are "Presto views", are Presto-specific (cannot be queried from Hive). And HIVE with table sample2, ‘Testdb’ is the database in both hive and MYSQL. Following will be the behaviour of compatible and incompatible Hive Views: Show tables will show both compatible and Incompatible Views. Apache Hive and Presto are both analytics engines that businesses can use to generate insights and enable data analytics. I am working in AWS and I have created a view and it gives me the output I want from the main Hive Table. The issue is, I’d like to see the column properties when I view the table in my AWS client. ... or with Presto running on the Amazon EMR cluster connected to the same catalog. Below is the example of Presto Federated Queries; Let us assume any RDBMS with table sample1. You cannot preview or add to Athena views that were created in other ways. Presto Hive; Designed for short interactive queries. ... and finally selected all data to view in editor. Hi all, please let me know if this isn’t the place for Presto SQL. The last time Hive released a camera, the Hive Camera, the product was a rather bog-standard model that simply recorded to SD card.Now, the company is back with the Hive View, a … Presto does not support Hive views because it doesn't want to deal with Hive Query Language. The line … However, Facebook introduced Presto after Hive but it is not replacement for hive because both have different use cases. Presto Vs Hive. Step7: Query Data. Interest over time of Apache Hive and Presto Note: It is possible that some search terms could be used in multiple areas and that could skew some graphs. Presto supports views via its Hive connector. Presto is preferably used for performing quick and fast data analysis that will not require very much memory; Presto is designed for low latency while on the other hand Hive is used for query throughput and queries that require very large amount of memory. Since a view is actually a Hive query, it would have to understand hive's entire language rather than just its schema. ... You cannot use views with federated data sources, external Hive metastores, or UDFs. The view is a logical table that can be referenced by future queries. Views do not contain any data. Presto is capable of executing the federative queries. The gap in performance between Presto and Hive on MR3, however, stays the same because in comparison with Hive 3.1.1 on MR3 0.6, Hive 3.1.1 on MR3 0.10 (snapshot) also achieves a similar level of improvement by reducing the total execution time by about 10 percent (from 12249 seconds to 11033 seconds). Designed for Batch processing. This change would add support for those Hive Views which is described using HiveQL compatible (or parseable) with Presto. A view in Amazon Athena is a logical, not a physical table. In contrast, Presto is built to process SQL queries of any size at high speeds. When I view the column properties, it shows as column: dummy, type: string. We can also use both tools to explore data sitting on top of a Hadoop system. Presto vs Hive.