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enodo

Utility tool to perform ad-hoc analysis on csv files when grep, sed, awk and cut aren't enough.

Prerequisites

  • Java 6 (or later)

Build

  • Download ZIP or $ git clone https://github.com/headstar/enodo.git
  • $ cd enodo
  • $ ./gradlew build

Resulting jar is found in ./build/libs.

Example

Example csv file:

The,quick,brown
fox,jumps
over,the,lazy,dog

To generate field length statistics, the following groovy script will do the trick:

import com.headstartech.enodo.AbstractCSVProcessor
import org.apache.commons.math3.stat.descriptive.DescriptiveStatistics;

public class FieldLengthCount extends AbstractCSVProcessor {

    private DescriptiveStatistics stats = new DescriptiveStatistics();

   /**
    * Called for every row in the input file(s).
    *
    * @param fields
    * @return <code>true</code> to continue processing, <code>false</code> to stop
    */
    @Override
    boolean processRow(List<String> fields) {
        for (String field : fields) {
            stats.addValue(field.length());
        }
        return true;
    }

    /**
     * Called when all rows have been read or {@link #processRow(List)} returned <code>false</code>.
     */
    @Override
    void afterLastRow() {
        getOutputWriter().println(String.format("N: %d", stats.getN()));
        getOutputWriter().println(String.format("Min: %.2f", stats.getMin()));
        getOutputWriter().println(String.format("Max: %.2f", stats.getMax()));
        getOutputWriter().println(String.format("Mean: %.2f", stats.getMean()));
    }
}

Run the utility:

$ java -jar enodo-1.0.0.jar -i /tmp/example.csv -s src/test/resources/FieldLengthCount.groovy

The result written to stdout is:

N: 9
Min: 3.00
Max: 5.00
Mean: 3.89

Misc

Input

Input will be read from stdin if not specified.

The example above can been run as:

$ cat /tmp/example.csv | java -jar build/libs/enodo-1.0.0.jar -s src/test/resources/FieldLengthCount.groovy

Regular expression filter

Regular expressions are supported when specifying the input.

Example:

If an example produces files with the pattern "myapp.yyyymmdd_hhmmss", the pattern below could be used to process all files written between 23 p.m and midnight in October 2015.

$ java -jar enodo-1.0.0.jar -s FieldLengthStats.groovy -i "myapp.201510.._(23)+.*"

Note the " around the input file argument!

Output

Output will be written to stdout if not specified.

Logging

The application log location is /tmp/enodo.log.

Useful libraries available at runtime

Guava

Useful if you want to do further splitting, joining etc.

Joda Time

For easier date & time manipulation.

The Apache Commons Mathematics Library

The statistics package contains a number of useful functions:

  • arithmetic and geometric means
  • variance and standard deviation
  • minimum, maximum, median, and percentiles
  • ...and more