Text Wrangler

Text-wrangler app to transform CSV data as specified by bespoke ANTLR4 DSL.

Usage

• Run mvn package to generate the ANTLR4 parser
• Import the MySQL schema in main/java/resources/schema.sql
• Update the MySQL connection details in main/java/resources/configuraiton.ini
• Start on App.java for a demonstration on how to use the library

Transformations DSL

• A sample DSL for transformations is provided in main/java/resources/transformations.dsl
• The grammar and lexer describing the DSL rules and syntax can be founded in src\main\antlr4\org\luisa\miniwrangler

Regex grammar

• Java Regex patterns are supported, which can be used to skip data
• In addition, sugar patterns are supported through a mapped pattern util

CSV parser

• ANTLR4 is also used for parsing CSV
• A grammar and lexer descriving CSV parsing rules can be found in src\main\antlr4\org\luisa\miniwrangler

CSV Data

• CSV data sample is in main/java/resources/orders.csv
• No orders are created from this sample
• Data values that do not match the provided pattern (if one) are skipped

Assumptions

• CSV data has a header row with field names

Tests

• App.java runs and saves orders for the given data and dsl samples.

Dependencies

• MariaDB as JBDC driver
• ANTLR4 for DSL and CSV processing and parsing support
• JUnit for unit tests

Javadoc

• Javadoc is under folder 'doc', containing additional usage, assumptions and implementation notes

Future Work

• Refactor so as to abstract the type order (details given in the source code marked with // TODO comments), making it possible to easily reuse for other type of data
• Create a utility to support database schema creation from the dsl or import schema from database (most likelly to bring a dependency such as QueryDSL in and extend it to fit the purpose)
• Extend the DSL grammar/lexer to allow setting up formatters for representation of the target object in stdout
• Extend the DSL grammar/lexer to allow a filter regex construct that allows a user to parse only the objects that match that filter
• Extend to support other DB languages, for example, it would be quite interesting to support Redis
• Extend to support Map<>Reduce processor in order to allow parallel working with BigData
• Extend to support Reactive streams and Publisher/Subscribers
• Add proper JUnit Test suite with rich set of examples
• Provide proper technical documentation, such as class diagram and interaction diagrams