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1. • Presto should automatically perform local reads

     • 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

     Presto hdfs local reads and preaggregation - Stack Overflow

2. stackoverflow.com › questions › 41011225Query local parquet using presto - Stack Overflow

   stackoverflow.com › questions › 41011225

   I wasn't able to query local parquet data with Presto. I was able to query data using Apache Drill. Out of the box, you can switch out the below directory with your local file system and run regular SQL on it:

3. github.com › orgs › prestodbHow does presto read local files in parquet format #18182

   github.com › orgs › prestodb

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   Aug 13, 2022 · You will see a folder with this table name /mnt/hive_data/customer Then move your parquet file to this folder. You should be able to query the Parquet file. We should also have a formal way in Presto to read local Parquet/ORC files. I will look into formalizing the hive.metastore=file.

4. github.com › prestodb › prestoDoes Presto supports Insert "load data local inpath " #9186

   github.com › prestodb › presto

   • Cached

   Oct 20, 2017 · There is no such command supported in Presto. Use insert into or you can load using Hive and then query from Presto. https://prestodb.io/docs/current/sql/insert.html

5. ikno.io › understanding-presto-a-comprehensive-guideUnderstanding Presto: A Comprehensive Guide - iKno

   ikno.io › understanding-presto-a-comprehensive-guide

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   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.

6. medium.com › datalytics › presto-making-thePresto: Making the difficult simple | by Datalytics ... - Medium

   medium.com › datalytics › presto-making-the

   Jan 3, 2023 · ‘Presto (Trino) is a distributed SQL query engine designed to query large sets of data distributed across one or more heterogeneous data sources.’. However, if we talk about exploring the Data...

7. dzone.com › refcardz › getting-started-with-prestodbGetting Started With PrestoDB - DZone Refcardz

   dzone.com › refcardz › getting-started-with-prestodb

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   PrestoDB uses a variety of connectors to access data from different data sources. In this Refcard, you will see how to access data on HDFS, S3, and PostgreSQL. More on other connectors:...

8. People also ask

   Which data sources does Presto support?

   • Presto supports a wide range of relational and non-relational data sources, including PostgreSQL, MySQL, SQL Server, Cassandra, Redis and MongoDB as well as columnar file formats such as Parquet and Avro. Originally built to work with Hadoop, Presto includes connectors for these data sources and fully supports ANSI SQL, making it ideal for data analysts and developers.

   How to use Presto on Amazon EMR | Alluxio Learning Center

   www.alluxio.io/learn/emr/presto/

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   Can Presto work with data stored across multiple databases?

   • Yes, Presto can process data stored across multiple databases. In this example, we split the dataset into several parts, each stored in a different database: the contents of neighborhoods.csv are in a MySQL table, while the data from listings_summary.csv and calendar_summary.csv are in PostgreSQL.

   Presto – part 2: Data Analysis and Machine Learning in SQL

   www.profiq.com/presto-part-2-data-analysis-and-machine-learning-in-sql/

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   What role does Presto play in data analysis?

   • In data analysis, Presto is a tool that implements two functions to provide all the data required by a charting library or an application to draw a histogram. The first of these functions is HISTOGRAM (column), which counts the occurrences of different values of a categorical variable.

   Presto – part 2: Data Analysis and Machine Learning in SQL

   www.profiq.com/presto-part-2-data-analysis-and-machine-learning-in-sql/

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   How to connect to Presto data in Python?

   • Connecting to and working with your data in Python follows a basic pattern, regardless of data source: Connect your Presto data with Python data tools. To connect to your data from Python, import the extension and create a connection:

   Presto Python Components: pandas Dataframe for Presto - CData Software

   www.cdata.com/drivers/presto/python/

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9. medium.com › nerd-for-tech › geospatial-analysisGetting Started with Geospatial Data in Presto | Nerd For Tech

   medium.com › nerd-for-tech › geospatial-analysis

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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.