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1. How to install apache spark raspberry pi 3 how to#
2. How to install apache spark raspberry pi 3 update#

This installation also requires Java version >= 11. The configuration and setup scripts used for this tutorial including further configurations of the HDFS cluster can be found in this repository.

How to install apache spark raspberry pi 3 how to#

Prerequesite for this tutorial is having a running Hadoop and Hive installation, you can follow the instructions in the tutorial How to Install and Set Up a 3-Node Hadoop Cluster and this Hive Tutorial. To read further into the inner workings and architecture behind Presto, check out the 2019 paper Presto: SQL on Everything. Further, Presto enables federated queries which means that you can query different databases with different schemas in the same SQL statement at the same time. Presto offers a large variety of connectors like for example MySQL, PostgreSQL, HDFS with Hive, Cassandra, Redis, Kafka, ElasticSearch, MongoDB among others. Therefore Online transaction processing (OLTP) workloads should be avoided. Presto itself does not offer a database and should be only used for large analytical queries that fall into Online Analytical Processing (OLAP). Presto on the other hand uses its own coordinator within the cluster to schedule queries among its workers. Presto and Apache Spark have its own resource manager, but Apache Spark is generally run on top of Hadoops’ YARN resource manager. It is most comparable to Apache Spark in the Big Data space as it also offers query optimization with the Catalyst Optimizer and an SQL interface to its data sources. To start off with a bit of history: Presto started 2012 in Facebook and was later released in 2013 as an open source project under the Apache Licence.

This tutorial was done using PrestoDB 0.242 and PrestoSQL 344. If you installed PrestoSQL before, have a look at the migration guide.

How to install apache spark raspberry pi 3 update#

Update : PrestoSQL is now rebranded as Trino. Presto is an open source distibruted query engine built for Big Data enabling high performance SQL access to a large variety of data sources including HDFS, PostgreSQL, MySQL, Cassandra, MongoDB, Elasticsearch and Kafka among others. Image from Wikimedia Commons How to Install Presto or Trino on a Cluster and Query Distributed Data on Apache Hive and HDFS Table of Contents