bendh / poiji

:candy: A tiny library converting excel rows to a list of Java objects based on Apache POI

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Poiji

Build Status Codacy code quality Coverage Status apache.poi 4.1.2 brightgreen FOSSA Status license MIT blue

Poiji is a teeny Java library that provides one way mapping from Excel sheets to Java classes. In a way it lets us convert each row of the specified excel data into Java objects. Poiji uses Apache Poi (the Java API for Microsoft Documents) under the hood to fulfill the mapping process.

Getting Started

In your Maven/Gradle project, first add the corresponding dependency:

maven
<dependency>
  <groupId>com.github.ozlerhakan</groupId>
  <artifactId>poiji</artifactId>
  <version>3.0.2</version>
</dependency>
gradle
dependencies {
    compile 'com.github.ozlerhakan:poiji:3.0.2'
}

You can find the latest and earlier development versions including javadoc and source files on Sonatypes OSS repository.

Poiji.fromExcel Structure
com.poiji.bind.Poiji#fromExcel(java.io.File, java.lang.Class<T>)
com.poiji.bind.Poiji#fromExcel(java.io.File, java.lang.Class<T>, java.util.function.Consumer<? super T>)
com.poiji.bind.Poiji#fromExcel(java.io.File, java.lang.Class<T>, com.poiji.option.PoijiOptions)
com.poiji.bind.Poiji#fromExcel(java.io.File, java.lang.Class<T>, com.poiji.option.PoijiOptions, java.util.function.Consumer<? super T>)
com.poiji.bind.Poiji#fromExcel(java.io.InputStream, com.poiji.exception.PoijiExcelType, java.lang.Class<T>)
com.poiji.bind.Poiji#fromExcel(java.io.InputStream, com.poiji.exception.PoijiExcelType, java.lang.Class<T>, java.util.function.Consumer<? super T>)
com.poiji.bind.Poiji#fromExcel(java.io.InputStream, com.poiji.exception.PoijiExcelType, java.lang.Class<T>, com.poiji.option.PoijiOptions)
com.poiji.bind.Poiji#fromExcel(java.io.InputStream, com.poiji.exception.PoijiExcelType, java.lang.Class<T>, com.poiji.option.PoijiOptions, java.util.function.Consumer<? super T>)
com.poiji.bind.Poiji#fromExcel(org.apache.poi.ss.usermodel.Sheet, java.lang.Class<T>)
com.poiji.bind.Poiji#fromExcel(org.apache.poi.ss.usermodel.Sheet, java.lang.Class<T>, com.poiji.option.PoijiOptions)
com.poiji.bind.Poiji#fromExcel(org.apache.poi.ss.usermodel.Sheet, java.lang.Class<T>, com.poiji.option.PoijiOptions, java.util.function.Consumer<? super T>)

com.poiji.bind.Poiji#fromExcelProperties(java.io.File, java.lang.Class<T>)
com.poiji.bind.Poiji#fromExcelProperties(java.io.File, java.lang.Class<T>, com.poiji.option.PoijiOptions)
com.poiji.bind.Poiji#fromExcelProperties(java.io.InputStream, com.poiji.exception.PoijiExcelType, java.lang.Class<T>)
com.poiji.bind.Poiji#fromExcelProperties(java.io.InputStream, com.poiji.exception.PoijiExcelType, java.lang.Class<T>, com.poiji.option.PoijiOptions)
PoijiOptions.PoijiOptionsBuilder Structure
com.poiji.option.PoijiOptions.PoijiOptionsBuilder#settings()
com.poiji.option.PoijiOptions.PoijiOptionsBuilder#build()
com.poiji.option.PoijiOptions.PoijiOptionsBuilder#dateLenient(boolean)
com.poiji.option.PoijiOptions.PoijiOptionsBuilder#dateRegex(String)
com.poiji.option.PoijiOptions.PoijiOptionsBuilder#datePattern(String)
com.poiji.option.PoijiOptions.PoijiOptionsBuilder#dateTimeFormatter(java.time.format.DateTimeFormatter)
com.poiji.option.PoijiOptions.PoijiOptionsBuilder#ignoreHiddenSheets(boolean)
com.poiji.option.PoijiOptions.PoijiOptionsBuilder#password(String)
com.poiji.option.PoijiOptions.PoijiOptionsBuilder#preferNullOverDefault(boolean)
com.poiji.option.PoijiOptions.PoijiOptionsBuilder#settings(int)
com.poiji.option.PoijiOptions.PoijiOptionsBuilder#sheetIndex(int)
com.poiji.option.PoijiOptions.PoijiOptionsBuilder#skip(int)
com.poiji.option.PoijiOptions.PoijiOptionsBuilder#limit(int)
com.poiji.option.PoijiOptions.PoijiOptionsBuilder#trimCellValue(boolean)
com.poiji.option.PoijiOptions.PoijiOptionsBuilder#headerStart(int)
com.poiji.option.PoijiOptions.PoijiOptionsBuilder#withCasting(Casting)
com.poiji.option.PoijiOptions.PoijiOptionsBuilder#withFormatting(Formatting)
com.poiji.option.PoijiOptions.PoijiOptionsBuilder#caseInsensitive(boolean)
com.poiji.option.PoijiOptions.PoijiOptionsBuilder#ignoreWhitespaces(boolean)
com.poiji.option.PoijiOptions.PoijiOptionsBuilder#namedHeaderMandatory(boolean)
com.poiji.option.PoijiOptions.PoijiOptionsBuilder#poijiNumberFormat(PoijiNumberFormat)
com.poiji.option.PoijiOptions.PoijiOptionsBuilder#poijiLogCellFormat(PoijiLogCellFormat)
com.poiji.option.PoijiOptions.PoijiOptionsBuilder#disableXLSXNumberCellFormat()
com.poiji.option.PoijiOptions.PoijiOptionsBuilder#addListDelimiter(String)

Feature 1

Create your object model:

public class Employee {

    @ExcelRow                    (1)
    private int rowIndex;

    @ExcelCell(0)                (2)
    private long employeeId;     (3)

    @ExcelCell(1)
    private String name;

    @ExcelCell(2)
    private String surname;

    @ExcelCell(3)
    private int age;

    @ExcelCell(4)
    private boolean single;

    @ExcelCellName("emails")     (4)
    List<String> emails;

    @ExcelCell(5)
    List<BigDecimal> bills;

    //no need getters/setters to map excel cells to fields
}
  1. Optionally, we can access the index of each row item by using the ExcelRow annotation. Annotated variable should be of type int, double, float or long.

  2. A field must be annotated with @ExcelCell along with its property in order to get the value from the right coordinate in the target excel sheet.

  3. An annotated field can be either protected, private or public modifier. The field may be either of boolean, int, long, float, double, or their wrapper classes. You can add a field of java.util.Date, java.time.LocalDate, java.time.LocalDateTime and String as well.

  4. If one column contains multiple value, you can get them using a List field. A List field can store items which is of type BigDecimal, Long, Double, Float, Integer, Boolean and String.

This is the excel file (employees.xlsx) we want to map to a list of Employee instance:

ID NAME SURNAME AGE SINGLE BILLS EMAILS

123923

Joe

Doe

30

TRUE

123,10;99.99

joe@doe.com;joedoe@gmail.com

123123

Sophie

Derue

20

TRUE

1022

sophie.derue@gmail.com;sophie@derue.com

135923

Paul

Raul

31

FALSE

73,25;70

paul.raul@gmail.com;paul@raul.com

The snippet below shows how to obtain the excel data using Poiji.

PoijiOptions options = PoijiOptions.PoijiOptionsBuilder.settings()
        .addListDelimiter(";") (1)
        .build();
List<Employee> employees = Poiji.fromExcel(new File("employees.xls"), Employee.class, options);
// alternatively
InputStream stream = new FileInputStream(new File("employees.xls"))
List<Employee> employees = Poiji.fromExcel(stream, PoijiExcelType.XLS, Employee.class, options);

employees.size();
// 3
Employee firstEmployee = employees.get(0);
// Employee{rowIndex=1, employeeId=123923, name='Joe', surname='Doe', age=30, single=true, emails=[joe@doe.com, joedoe@gmail.com], biils=[123,10, 99.99]}
  1. By default the delimiter/separator is , to split items in a cell. There is an option to change this behavior. Since we use ; between items, we need to tell Poiji to use ; as a separator.

By default, Poiji ignores the header row of the excel data. If you want to ignore the first row of data, you need to use PoijiOptions.

PoijiOptions options = PoijiOptionsBuilder.settings(1).build(); // we eliminate Joe Doe.
List<Employee> employees = Poiji.fromExcel(new File("employees.xls"), Employee.class, options);
Employee firstEmployee = employees.get(0);
// Employee{rowIndex=2, employeeId=123123, name='Sophie', surname='Derue', age=20, single=true, emails=[sophie.derue@gmail.com, sophie@derue.com], biils=[1022]}

By default, Poiji selects the first sheet of an excel file. You can override this behaviour like below:

PoijiOptions options = PoijiOptionsBuilder.settings()
                       .sheetIndex(1) (1)
                       .build();
  1. Poiji should look at the second (zero-based index) sheet of your excel file.

If you want a date field to return null rather than a default date, use PoijiOptionsBuilder with the preferNullOverDefault method as follows:

PoijiOptions options = PoijiOptionsBuilder.settings()
                       .preferNullOverDefault(true) (1)
                       .build();
  1. a field that is of type either java.util.Date, Float, Double, Integer, Long or String will have a null value.

Feature 2

Poiji allows specifying the sheet name using annotation

@ExcelSheet("Sheet2")  (1)
public class Student {

    @ExcelCell(0)
    private String name;

    @ExcelCell(1)
    private String id;

    @ExcelCell(2)
    private String phone;


    @Override
    public String toString() {
        return "Student {" +
                " name=" + name +
                ", id=" + id + "'" +
                ", phone='" + phone + "'" +
                '}';
    }
}
  1. With the ExcelSheet annotation we are configuring the name of the sheet to read data from. The other sheets will be ignored.

Feature 3

Consider that your excel file is protected with a password, you can define the password via PoijiOptionsBuilder to read rows:

PoijiOptions options = PoijiOptionsBuilder.settings()
                    .password("1234")
                    .build();
List<Employee> employees = Poiji.fromExcel(new File("employees.xls"), Employee.class, options);

Feature 4

Using ExcelCellName, we can read the values by column names directly.

public class Person {

    @ExcelCellName("Name")  (1)
    protected String name;

    @ExcelCellName("Address")
    protected String address;

    @ExcelCellName("Age")
    protected int age;

    @ExcelCellName("Email")
    protected String email;

}
  1. We need to specify the name of the column for which the corresponding value is looked. By default, @ExcelCellName is case-sensitive and the excel file should’t contain duplicated column names. However, you can manipulate this feature using PoijiOptionsBuilder#caseInsensitive(boolean) and you can ignore white spaces using PoijiOptionsBuilder#ignoreWhitespaces(boolean).

For example, here is the excel (person.xls) file we want to use:

Name Address Age Email

Joe

San Francisco, CA

30

joe@doe.com

Sophie

Costa Mesa, CA

20

sophie@doe.com

List<Person> people = Poiji.fromExcel(new File("person.xls"), Person.class);
people.size();
// 2
Person person = people.get(0);
// Joe
// San Francisco, CA
// 30
// joe@doe.com

Given that the first column always stands for the names of people, you’re able to combine the ExcelCell annotation with ExcelCellName in your object model:

public class Person {

    @ExcelCell(0)
    protected String name;

    @ExcelCellName("Address")
    protected String address;

    @ExcelCellName("Age")
    protected int age;

    @ExcelCellName("Email")
    protected String email;

}

Feature 5

Your object model may be derived from a super class:

public abstract class Vehicle {

    @ExcelCell(0)
    protected String name;

    @ExcelCell(1)
    protected int year;
}

public class Car extends Vehicle {

    @ExcelCell(2)
    private int nOfSeats;
}

and you want to map the table (car.xlsx) below to Car objects:

NAME YEAR SEATS

Honda Civic

2017

4

Chevrolet Corvette

2017

2

Using Poiji, you can map the annotated field(s) of super class(es) of the target class like so:

List<Car> cars = Poiji.fromExcel(new File("cars.xls"), Car.class);
cars.size();
// 2
Car car = cars.get(0);
// Honda Civic
// 2017
// 4

Feature 6

Consider you have a table like below:

No.

Personal Information

Credit Card Information

Name

Age

City

State

Zip Code

Card Type

Last 4 Digits

Expiration Date

1

John Doe

21

Vienna

Virginia

22349

VISA

1234

Jan-21

2

Jane Doe

28

Greenbelt

Maryland

20993

MasterCard

2345

Jun-22

3

Paul Ryan

19

Alexandria

Virginia

22312

JCB

4567

Oct-24

The ExcelCellRange annotation lets us aggregate a range of information in one object model. In this case, we collect the data in PersonCreditInfo plus details of the person in PersonInfo and for the credit card in CardInfo:

public class PersonCreditInfo {

    @ExcelCellName("No.")
    private Integer no;

    @ExcelCellRange
    private PersonInfo personInfo;

    @ExcelCellRange
    private CardInfo cardInfo;

    public static class PersonInfo {
        @ExcelCellName("Name")
        private String name;
        @ExcelCellName("Age")
        private Integer age;
        @ExcelCellName("City")
        private String city;
        @ExcelCellName("State")
        private String state;
        @ExcelCellName("Zip Code")
        private String zipCode;
    }

    public static class CardInfo {
        @ExcelCellName("Card Type")
        private String type;
        @ExcelCellName("Last 4 Digits")
        private String last4Digits;
        @ExcelCellName("Expiration Date")
        private String expirationDate;
    }
}

Using the conventional way, we can retrieve the data using Poiji.fromExcel:

PoijiOptions options = PoijiOptions.PoijiOptionsBuilder.settings().headerCount(2).build();
List<PersonCreditInfo> actualPersonalCredits = Poiji.fromExcel(new File(path), PersonCreditInfo.class, options);

PersonCreditInfo personCreditInfo1 = actualPersonalCredits.get(0);
PersonCreditInfo.PersonInfo expectedPerson1 = personCreditInfo1.getPersonInfo();
PersonCreditInfo.CardInfo expectedCard1 = personCreditInfo1.getCardInfo();

Feature 7

Poiji supports Consumer Interface. As @fmarazita explained the usage, there are several benefits of having a Consumer:

  1. Huge excel file ( without you have all in memory)

  2. Run time processing/filtering data

  3. DB batch insertion

For example, we have a Calculation entity class and want to insert each row into a database while retrieving:

class Calculation {

  @ExcelCell(0)
  String name

  @ExcelCell(1)
  int a

  @ExcelCell(2)
  int b

  public int getA(){
    return a;
  }

  public int getB(){
    return b;
  }

  public int getName(){
    return name;
  }

}
File fileCalculation = new File(example.xlsx);

PoijiOptions options = PoijiOptionsBuilder.settings().sheetIndex(1).build();

Poiji.fromExcel(fileCalculation, Calculation.class, options, this::dbInsertion);

private void dbInsertion(Calculation siCalculation) {
  int value= siCalculation.getA() + siCalculation.getB();
  String name = siCalculation.getName();
  insertDB(name , value);
}

Feature 8

You can create your own casting implementation without relying on the default Poiji casting configuration using the Casting interface.

public class MyCasting implements Casting {
    @Override
    public Object castValue(Class<?> fieldType, String value, PoijiOptions options) {
       return value.trim();
    }
}

public class Person {

    @ExcelCell(0)
    protected String employeeId;

    @ExcelCell(1)
    protected String name;

    @ExcelCell(2)
    protected String surname;

}

Then you can add your custom implementation with the withCasting method:

 PoijiOptions options = PoijiOptions.PoijiOptionsBuilder.settings()
                .withCasting(new MyCasting())
                .build();

List<Person> people = Poiji.fromExcel(excel, Person.class, options);

Feature 9

You can annotate a Map<String, String> with @ExcelUnknownCells to parse all entries, which are not mapped in any other way (for example by index or by name).

This is our object model:

public class MusicTrack {

    @ExcelCellName("ID")
    private String employeeId;

    @ExcelCellName("AUTHOR")
    private String author;

    @ExcelCellName("NAME")
    private String name;

    @ExcelUnknownCells
    private Map<String, String> unknownCells;

}

This is the excel file we want to parse:

ID AUTHOR NAME ENCODING BITRATE

123923

Joe Doe

The example song

mp3

256

56437

Jane Doe

The random song

flac

1500

The object corresponding to the first row of the excel sheet then has a map with {ENCODING=mp3, BITRATE=256} and the one for the second row has {ENCODING=flac, BITRATE=1500}.

Note that If you use the PoijiOptionsBuilder#caseInsensitive(true) option, the ExcelUnknownCells map will be parsed with lowercase.

Feature 10

Poiji supports the Option namedHeaderMandatory. If set to true, Poiji will check that all field annotated with @ExcelCellName must have a corresponding column in the Excel sheet. If any column is missing a HeaderMissingException will be thrown.

public class MusicTrack {

    @ExcelCellName("ID")
    private String employeeId;

    @ExcelCellName("AUTHOR")
    private String author;

}

This is the excel file we want to parse:

ID Artist

123923

Joe Doe

56437

Jane Doe

In the default setting of Poiji (namedHeaderMandatory=false), the author field will be null for both objects. With namedHeaderMandatory=true, a HeaderMissingException will be thrown.

Feature 11

We can observe each cell format of a given excel file. Assume that we have an excel file like below:

Date

12/31/2020 12.00 AM

We can get all the list of cell formats using PoijiLogCellFormat with PoijiOptions:

PoijiLogCellFormat log = new PoijiLogCellFormat();
PoijiOptions options = PoijiOptions.PoijiOptionsBuilder.settings()
        .poijiCellFormat(log)
        .build();
List<Model> dates = Poiji.fromExcel(stream, poijiExcelType, Model.class, options);

Model model = rows.get(0)
model.getDate();
// 12.00

Hmm, It looks like we did not achieve the correct date format when we get the date value (12.00). Let’s see how internally the excel file parses the value of the cell via PoijiLogCellFormat:

List<InternalCellFormat> formats = log.formats();
InternalCellFormat cell10 = formats.get(1);

cell10.getFormatString()
// mm:ss.0
cell10.getFormatIndex()
// 47

Now that we know the reason of why we don’t see the expected date value, it’s because the default format of the date cell is the mm:ss.0 format with a given index 47, we need to change the default format of index (i.e. 47). This format was automatically assigned to the cell having a number, but almost certainly with a special style or format. Note that this option should be used for debugging purpose only.

Feature 12

We can change the default format of a cell using PoijiNumberFormat. Recall feature 10, we are unable to see the correct cell format what’s more the excel file uses another format which we do not want to.

Date

12/31/2020 12.00 AM

Using PoijiNumberFormat option, we are able to change the behavior of the format of a specific index:

PoijiNumberFormat numberFormat = new PoijiNumberFormat();
numberFormat.putNumberFormat((short) 47, "mm/dd/yyyy hh.mm aa");

PoijiOptions options = PoijiOptions.PoijiOptionsBuilder.settings()
        .poijiNumberFormat(numberFormat)
        .build();

List<Model> rows = Poiji.fromExcel(stream, poijiExcelType, Model.class, options);

Model model = rows.get(0)
model.getDate();
// 12/31/2020 12.00 AM  (1)
  1. Voila!

We know that the index 47 uses the format mm:ss.0 by default in the given excel file, thus we’re able to override its format with mm/dd/yyyy hh.mm aa using the putNumberFormat method.

Feature 13

It is possible to read excel properties from xlsx files. To achieve that, create a class with fields annotated with @ExcelProperty.

Example:

public class ExcelProperties {
    @ExcelProperty
    private String title;

    @ExcelProperty
    private String customProperty;
}

The field name corresponds to the name of the property inside the Excel file. To use a different one than the field name, you can specify a propertyName (e.g. @ExcelProperty(propertyName = "customPropertyName"))

The list of built-in (e.g. non-custom) properties in an Excel file, which can be read by Poiji can be found in the class DefaultExcelProperties.

Poiji can only read Text properties from an Excel file, so you have to use a String to read them. This does not apply to "modified", "lastPrinted" and "created", which are deserialized into a Date.

Feature 14

Consider we have a xls or xlsx excel file like below:

Amount

25,00

(50,00)

(65,00)

Since we use a cell format on line 4 and 5 (i.e. (50,00) and (65,00)), we don’t want to see the formatted value of each cell after processing. In order to do that, we can use @DisableCellFormatXLS on a field if the file ends with xls or disableXLSXNumberCellFormat() for xlsx files using PoijiOptions.

xls files
public class TestInfo {
    @ExcelCell(0)
    @DisableCellFormatXLS (1)
    public BigDecimal amount;
}
  1. we only disable cell formats on the specified column.

xlsx files
public class TestInfo {
    @ExcelCell(0)
    private BigDecimal amount;
}

PoijiOptions options = PoijiOptions.PoijiOptionsBuilder.settings()
                .disableXLSXNumberCellFormat() (1)
                .build();
  1. when disabling number cell format, we disable it in the entire cells for xlsx files.

and let Poiji ignores the cell formats:

List<TestInfo> result = Poiji.fromExcel(new File(path), TestInfo.class, options); (1)

result.get(1).amount
// -50
  1. Add options, if your excel is xlsx file.

Feature 15

You can create your own formatting implementation without relying on the default Poiji formatting configuration using the Formatting interface.

public class MyFormatting implements Formatting {
    @Override
    public String transform(PoijiOptions options, String value) {
        return value.toUpperCase().trim(); (1)
    }
}

public class Person {

    @ExcelCellName("ID")
    protected String employeeId;

    @ExcelCellName("NAME")
    protected String name;

    @ExcelCellName("SURNAME")
    protected String surname;

}
  1. Suppose that all the header names of an excel file have different formatting. Using custom formatting, we are able to look at headers with a custom format. All the headers will be uppercase and don’t have white spaces before and after.

Then you can add your custom implementation with the withFormatting method:

PoijiOptions options = PoijiOptions.PoijiOptionsBuilder.settings()
                .withFormatting(new MyFormatting())
                .build();
List<Person> people = Poiji.fromExcel(excel, Person.class, options);

Feature 16

Poiji accepts excel records via Poi Sheet object as well:

File file = new File("/tmp/file.xlsx");
FileInputStream fileInputStream = new FileInputStream(file);
Workbook workbook = new XSSFWorkbook(fileInputStream);
Sheet sheet = workbook.getSheetAt(0);

List<Model> result = Poiji.fromExcel(sheet, Model.class);

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:candy: A tiny library converting excel rows to a list of Java objects based on Apache POI

License:MIT License


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