Trino Hadoop

Trino (formerly known as PrestoSQL) is an open-source distributed query engine that enables high-speed data querying and processing across various data sources. It is often used in conjunction with Hadoop and Hadoop-compatible file systems to perform fast and efficient SQL queries on large datasets. Here’s how Trino can be used with Hadoop:

1. Hadoop and Hadoop-Compatible File Systems:

• Trino can connect to Hadoop Distributed File System (HDFS) and other Hadoop-compatible file systems such as Apache Hadoop HDFS, Amazon S3, and Azure Data Lake Storage. It treats these file systems as data sources, allowing you to query and analyze data stored in Hadoop clusters.

2. SQL Queries:

• Trino provides a SQL interface that allows you to write SQL queries to interact with data stored in Hadoop and other data sources. This SQL interface makes it easy for users to query and join data across various data stores seamlessly.

3. Distributed Query Processing:

• Trino is designed for distributed query processing and can execute SQL queries in a parallel and distributed manner across a cluster of nodes. This enables fast query performance, especially when dealing with large datasets.

4. Data Source Connectors:

• Trino supports a wide range of connectors to different data sources, including Hadoop-based ones. These connectors enable Trino to read data from HDFS, Hive tables, and other Hadoop ecosystem components.

5. Interactive Queries:

• Trino is known for its ability to perform interactive queries on data. Users can run ad-hoc SQL queries, explore datasets, and analyze data interactively, making it suitable for data exploration and analytics.

6. Presto for Hadoop:

• The Trino project originated as Presto, which was initially developed by Facebook. Presto was designed to work with Facebook’s Hadoop-based data infrastructure. Over time, Presto evolved into the Trino project, and it continues to provide excellent support for Hadoop and related technologies.

7. Hive Integration:

• Trino can integrate with Apache Hive, a data warehousing and SQL-like query language framework for Hadoop. You can query and analyze Hive tables using Trino, benefiting from its speed and flexibility.

8. Community and Ecosystem:

• Trino has an active open-source community and a growing ecosystem of connectors and tools that extend its functionality. It is widely adopted in the industry and used by organizations for various data processing and analytics tasks.