This blog will focus on getting Presto working on Kubernetes.Īll the scripts, configuration files, etc. Presto on Kubernetes: Presto deployed, managed and orchestrated via Kubernetes (K8s)Įach deployment has its pros and cons.Serverless Presto (Athena): AWS’ Serverless Presto Service.DIY Presto Deployments: Standalone Presto deployed on VMs or bare-metal instances.Cloudera) or as a part of Managed Hadoop (e.g. Presto on Hadoop: This involves Presto running as a part of a Hadoop cluster, either as a part of open source or commercial Hadoop deployments (e.g.Presto deployments can be found in various flavors today. The connector architecture abstracts away the underlying complexities of the data sources whether it’s SQL, NoSQL or simply an object store – all the end user needs to care about is querying the data using ANSI SQL the connector takes care of the rest. Presto supports connectivity to a wide variety of data sources – relational, analytical, NoSQL, object stores including s search and indexing systems such as elastic and druid.
Presto is a distributed query engine designed from the ground up for data lake analytics and interactive query workloads. To learn how to run Presto on Kubernetes, let’s cover the basics first.
0 kommentar(er)
