Change Log

All notable changes to this project will be documented in this file. This change log follows the conventions of keepachangelog.com.

Unreleased

TODO

• Utility function to get lazy seq of all indexed IDs
• Persist index in temp file system for fast future initialization

[0.5.0] - 2021-08-26

Added

• Persist the processed index to disk for fast re-initialization
  • Saves to temp filesystem folder (default)
  • optionally a different folder to persist index between system reboots
  • Uses filename, content and optionally regex-string to name the index file

0.4.0 - 2021-06-24

0.4.0 - simpler and smaller!

Added

• Auto-infer :doc-type from db file extension (*.ndedn -> :doc-type :edn)
  • This means you have to use either db extension .ndedn|.ndjson or :doc-type :json|:edn
  • Defaults to :json if extension is unknown and :doc-type isn't set
• Laying the groundwork for improved indexing performance via parallelization.
  • Need more work to limit memory consumption for huge databases, before enabling it

Breaking Change!

• Rename core namespace to nd-db.core, and the library from luposlip/ndjson-db to com.luposlip/nd-db!

Changed

• Removed core.memoize and timbre (not used anymore)
  • Smaller deployable!
• Updated clojure (-> 1.10.3)

0.3.0 - 2021-06-09

Added

• Add support for the .ndedn file format, where all lines are well formed EDN documents.

0.2.2 - 2021-01-12

Changed

• Updated depencies (timbre, memoize, cheshire)

0.2.1 - 2019-08-29

Changed

• Updated depencies (clojure, cheshire, memoize)

0.2.0 - 2019-05-06

Added

• Completely revamped API
• clear-all-indices!! -> clear-all-indexes!!
• Using timbre for logging
• Now using Apache License, Version 2.0 (instead of Eclipse Licence 2.0)

0.1.2 - 2019-04-01

Added

• API for using default id-fn for querying by json name with type string or integer
• Added clear-all-indices!! and clear-index!
• Added documentation in README

0.1.1 - 2019-03-03

Added

• Enhanced API for lazy/streaming usage

[0.1.0] - 2019-03-03

Added

• Initial public release
• Example on how to query huge datasets