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LocustDB download for Linux

Free download LocustDB Linux app to run online in Ubuntu online, Fedora online or Debian online

This is the Linux app named LocustDB whose latest release can be downloaded as v0.3.4.zip. It can be run online in the free hosting provider OnWorks for workstations.

Download and run online this app named LocustDB with OnWorks for free.

Follow these instructions in order to run this app:

- 1. Downloaded this application in your PC.

- 2. Enter in our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.

- 3. Upload this application in such filemanager.

- 4. Start the OnWorks Linux online or Windows online emulator or MACOS online emulator from this website.

- 5. From the OnWorks Linux OS you have just started, goto our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.

- 6. Download the application, install it and run it.

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LocustDB


DESCRIPTION

An experimental analytics database aiming to set a new standard for query performance and storage efficiency on commodity hardware. See How to Analyze Billions of Records per Second on a Single Desktop PC and How to Read 100s of Millions of Records per Second from a Single Disk for an overview of current capabilities. Download the latest binary release, which can be run from the command line on most x64 Linux systems, including Windows Subsystem for Linux. When loading .csv or .csv.gz files with --load, the first line of each file is assumed to be a header containing the names for all columns. The type of each column will be derived automatically, but this might break for columns that contain a mixture of numbers/strings/empty entries. To persist data to disk in LocustDB's internal storage format (which allows fast queries from disk after the initial load), specify the storage location with --db-path.



Features

  • The trade-off between performance and storage efficiency is configurable
  • Query performance for analytics workloads
  • LocustDB automatically achieves spectacular compression ratios
  • Minimal indexing overhead
  • Requires less machines to store the same amount of data
  • New data is available for queries within seconds


Programming Language

Rust


Categories

Database

This is an application that can also be fetched from https://sourceforge.net/projects/locustdb.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.


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