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This ApplicationProperties Java package provides a fast and easily configurable application.properties loader that mimics some key features of the Spring Boot application.properties loader. This package allows for multi-level overloading of properties based on a basename and optional suffix by searching the classpath, optional configurable file paths along with the JNDI server container context. The class [ApplicationPropertiesConfig](src/main/java/com/lyders/application-properties/ApplicationPropertiesConfig.java) controls the features of the overloading of properties such as the base name of the properties file, an optional suffix that allows for the loading of environment-specific or scenario-specific property files as needed. The following features are supported: * Names of properties files can be customized * Locations of properties files can be customized. The following path types are supported: * class path * file system paths * JNDI environment naming context (e.g., Servlet/JSP running under Tomcat) * Environment-specific property files can override the values in default properties files via a "suffix"

In some data processing tasks we need to use huge maps or sets that are bigger than available JVM heap space or they are loading too slow to standard Java or Scala Maps. We use TSV format (text file with tab separated columns) for persist this kind of Maps or Sets. Some columns are used as a key and rest of columns as a value. Idea of this library is simple. We can prepare these maps once (sort by key), store it to file and then use it as memory mapped file. Searching key in sorted file has log(n) complexity. If more processes uses the same memory mapped file, it exists in memory just once (on Linux). This file can be loaded lazy by OS.

In some data processing tasks we need to use huge maps or sets that are bigger than available JVM heap space or they are loading too slow to standard Java or Scala Maps. We use TSV format (text file with tab separated columns) for persist this kind of Maps or Sets. Some columns are used as a key and rest of columns as a value. Idea of this library is simple. We can prepare these maps once (sort by key), store it to file and then use it as memory mapped file. Searching key in sorted file has log(n) complexity. If more processes uses the same memory mapped file, it exists in memory just once (on Linux). This file can be loaded lazy by OS.

In some data processing tasks we need to use huge maps or sets that are bigger than available JVM heap space or they are loading too slow to standard Java or Scala Maps. We use TSV format (text file with tab separated columns) for persist this kind of Maps or Sets. Some columns are used as a key and rest of columns as a value. Idea of this library is simple. We can prepare these maps once (sort by key), store it to file and then use it as memory mapped file. Searching key in sorted file has log(n) complexity. If more processes uses the same memory mapped file, it exists in memory just once (on Linux). This file can be loaded lazy by OS.