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- Once you have Presto workers on all of your data nodes, Presto should automatically perform local reads when accessing data from the local DFS node. Presto will prefer scheduling work on the same machine as the DFS node, but if that machine is overloaded, it will schedule the work on another machine, so you will typically get some remote reads.
stackoverflow.com/questions/19924862/presto-hdfs-local-reads-and-preaggregation
Nov 13, 2013 · Once you have Presto workers on all of your data nodes, Presto should automatically perform local reads when accessing data from the local DFS node. Presto will prefer scheduling work on the same machine as the DFS node, but if that machine is overloaded, it will schedule the work on another machine, so you will typically get some remote reads.
- Query Federation
- Example Scenario
- Dynamic Filtering
- The Setup
More often than not, organizations use many database and storage systems to store their data, not just a single one. Relational databases (MySQL, SQL Server, Postgress etc) for relational data and OLTP use-cases, Cassandra and other key-value stores for fast access to data by keys, and object storage systems like S3 and HDFS for storing large amoun...
Say we have data relating to flights arrival and departure, stored on S3 and typically accessed using Hive Metastore. This is a typical architecture for keeping tabular data on S3. Consider that the customer is building a dashboard to display this data visually to managers or to employees at their operations department. The dashboard should help de...
Presto is quite a magnificent piece of work. There is a lot of really interesting pure Compute Science and algorithmic optimizations at work under the hood, which in turn drives Presto's amazing performance for many use-cases. In general terms, presto takes the query and parses it into its own internal representation, for which it then creates a pl...
While we won't go into the details of setting up your presto cluster (though we could certainly help you with that - contact us), here are the basics of how to configure Presto to allow queries across various data sources. Each platform is exposed as a "catalog" in the SQL syntax. For Hive, databases are mapped as schemas within the hive catalog, a...
Nov 27, 2023 · In this tutorial, you learned how easy it is to get started with a simple Presto cluster and connect disparate data sources to it. While this tutorial used a very small data lake for demonstration purposes, Presto works efficiently even at petabyte-scale.
Sep 16, 2020 · It is able to read data from the same schemas and tables using the same data formats — ORC, Avro, Parquet, JSON, and more. In addition to the Hive connector, you’ll find connectors for Cassandra,...
Oct 29, 2024 · Explore the ins and outs of Presto, the open-source, distributed SQL query engine. Learn how it works, its key features, advantages, limitations, and how it compares with other engines.
This repo contains instructions for different ways to set up Presto and examples for how to connect to different data sources. We will also have video and written walk-throughs linked as we publish them.
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Apr 13, 2021 · In this post, we explore Presto's Geospatial capabilities, and leverage Presto's Geospatial function to enrich data and get geographical insights.
