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https://github.com/ozlerhakan/poiji
:candy: A library converting XLS and XLSX files to a list of Java objects based on Apache POI
https://github.com/ozlerhakan/poiji
apache apache-poi converter data deserialize excel java java-11 mapper mapping microsoft-excel parser performance poi poiji pojo unmarshall
Last synced: about 13 hours ago
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:candy: A library converting XLS and XLSX files to a list of Java objects based on Apache POI
- Host: GitHub
- URL: https://github.com/ozlerhakan/poiji
- Owner: ozlerhakan
- License: mit
- Created: 2017-01-19T12:23:12.000Z (over 7 years ago)
- Default Branch: master
- Last Pushed: 2024-08-24T19:55:35.000Z (about 1 month ago)
- Last Synced: 2024-09-24T20:51:05.208Z (about 18 hours ago)
- Topics: apache, apache-poi, converter, data, deserialize, excel, java, java-11, mapper, mapping, microsoft-excel, parser, performance, poi, poiji, pojo, unmarshall
- Language: Java
- Homepage:
- Size: 8.72 MB
- Stars: 463
- Watchers: 18
- Forks: 133
- Open Issues: 0
-
Metadata Files:
- Readme: README.adoc
- Funding: .github/FUNDING.yml
- License: LICENSE
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README
:toc: macro
:toclevels: 2
= Poiji
:version: v4.6.0
:branch: 4.6.0
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Poiji is a tiny thread-safe 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 https://poi.apache.org/[Apache Poi] (the Java API for Microsoft Documents) under the hood to fulfill the mapping process.
[%collapsible]
toc::[]
== Getting Started
In your Maven/Gradle project, first add the corresponding dependency:
.maven
[source,xml]
----
com.github.ozlerhakan
poiji
4.6.0
----
You can find the latest and earlier development versions including javadoc and source files on https://oss.sonatype.org/content/groups/public/com/github/ozlerhakan/poiji/[Sonatypes OSS repository].
== Usage
.`Poiji.fromExcel` Structure
----
com.poiji.bind.Poiji#fromExcel(java.io.File, java.lang.Class)
com.poiji.bind.Poiji#fromExcel(java.io.File, java.lang.Class, java.util.function.Consumer super T>)
com.poiji.bind.Poiji#fromExcel(java.io.File, java.lang.Class, com.poiji.option.PoijiOptions)
com.poiji.bind.Poiji#fromExcel(java.io.File, java.lang.Class, 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)
com.poiji.bind.Poiji#fromExcel(java.io.InputStream, com.poiji.exception.PoijiExcelType, java.lang.Class, java.util.function.Consumer super T>)
com.poiji.bind.Poiji#fromExcel(java.io.InputStream, com.poiji.exception.PoijiExcelType, java.lang.Class, com.poiji.option.PoijiOptions)
com.poiji.bind.Poiji#fromExcel(java.io.InputStream, com.poiji.exception.PoijiExcelType, java.lang.Class, com.poiji.option.PoijiOptions, java.util.function.Consumer super T>)
com.poiji.bind.Poiji#fromExcel(org.apache.poi.ss.usermodel.Sheet, java.lang.Class)
com.poiji.bind.Poiji#fromExcel(org.apache.poi.ss.usermodel.Sheet, java.lang.Class, com.poiji.option.PoijiOptions)
com.poiji.bind.Poiji#fromExcel(org.apache.poi.ss.usermodel.Sheet, java.lang.Class, com.poiji.option.PoijiOptions, java.util.function.Consumer super T>)
com.poiji.bind.Poiji#fromExcelProperties(java.io.File, java.lang.Class)
com.poiji.bind.Poiji#fromExcelProperties(java.io.File, java.lang.Class, com.poiji.option.PoijiOptions)
com.poiji.bind.Poiji#fromExcelProperties(java.io.InputStream, com.poiji.exception.PoijiExcelType, java.lang.Class)
com.poiji.bind.Poiji#fromExcelProperties(java.io.InputStream, com.poiji.exception.PoijiExcelType, java.lang.Class, com.poiji.option.PoijiOptions)
----
.`PoijiOptions.PoijiOptionsBuilder` Structure
----
com.poiji.option.PoijiOptions.PoijiOptionsBuilder
#settings()
#build()
#dateLenient(boolean)
#dateRegex(String)
#datePattern(String)
#dateTimeFormatter(java.time.format.DateTimeFormatter)
#ignoreHiddenSheets(boolean)
#password(String)
#preferNullOverDefault(boolean)
#settings(int)
#sheetIndex(int)
#skip(int)
#limit(int)
#trimCellValue(boolean)
#headerStart(int)
#withCasting(Casting)
#withFormatting(Formatting)
#caseInsensitive(boolean)
#ignoreWhitespaces(boolean)
#poijiNumberFormat(PoijiNumberFormat)
#poijiLogCellFormat(PoijiLogCellFormat)
#disableXLSXNumberCellFormat()
#addListDelimiter(String)
#setLocale(java.util.Locale)
#rawData(boolean)
----
== Documentation
Here are the list of features with examples that the latest version of Poiji supports.
=== Annotations
Create your object model:
[source,java]
----
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 emails;
@ExcelCell(5)
List 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
|[email protected];[email protected]
|123123
|Sophie
|Derue
|20
|TRUE
|1022
|[email protected];[email protected]
|135923
|Paul
|Raul
|31
|FALSE
|73,25;70
|[email protected];[email protected]
|===
The snippet below shows how to obtain the excel data using `Poiji`.
[source,java]
----
PoijiOptions options = PoijiOptions.PoijiOptionsBuilder.settings()
.addListDelimiter(";") <1>
.build();
List employees = Poiji.fromExcel(new File("employees.xls"), Employee.class, options);
// alternatively
InputStream stream = new FileInputStream(new File("employees.xls"))
List 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=[[email protected], [email protected]], 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`.
[source,java]
----
PoijiOptions options = PoijiOptionsBuilder.settings(1).build(); // we eliminate Joe Doe.
List 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=[[email protected], [email protected]], biils=[1022]}
----
By default, Poiji selects the first sheet of an excel file. You can override this behaviour like below:
[source,java]
----
PoijiOptions options = PoijiOptionsBuilder.settings()
.sheetIndex(1) <1>
.build();
----
1. Poiji should look at the second (zero-based index) sheet of your excel file.
== Documentation
=== Prefer Default Value
If you want a date field to return `null` rather than a default date, use `PoijiOptionsBuilder` with the `preferNullOverDefault` method as follows:
[source,java]
----
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.
=== Sheet Name Option
Poiji allows specifying the sheet name using annotation
[source,java]
----
@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.
=== Protected Excels
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 employees = Poiji.fromExcel(new File("employees.xls"), Employee.class, options);
----
=== Annotation ExcelCellName
Using `ExcelCellName`, we can read the values by column names directly.
[source,java]
----
public class Person {
@ExcelCellName("Name") <1>
protected String name;
@ExcelCellName("Address")
protected String address;
@ExcelCellName("Age")
protected int age;
@ExcelCellName("Email")
protected String email;
@ExcelCellName(value = "", expression = "Surname|Second name") <2>
private String surname;
}
----
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)`.
2. In rare situations a column can have synonyms, especially when the column was renamed and backward compatibility is needed.
Here we specify the `expression` leaving the column `name` empty.
For example, here is the excel (`person.xls`) file we want to use:
|===
| Name |Address |Age |Email |Surname
|Joe
|San Francisco, CA
|30
|[email protected]
|Doe
|Sophie
|Costa Mesa, CA
|20
|[email protected]
|Doe
|===
[source,java]
----
List people = Poiji.fromExcel(new File("person.xls"), Person.class);
people.size();
// 2
Person person = people.get(0);
// Joe
// San Francisco, CA
// 30
// [email protected]
// Doe
----
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:
[source,java]
----
public class Person {
@ExcelCell(0)
protected String name;
@ExcelCellName("Address")
protected String address;
@ExcelCellName("Age")
protected int age;
@ExcelCellName("Email")
protected String email;
}
----
=== Super Class Inheritance
Your object model may be derived from a super class:
[source,java]
----
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:
[source,java]
----
List cars = Poiji.fromExcel(new File("cars.xls"), Car.class);
cars.size();
// 2
Car car = cars.get(0);
// Honda Civic
// 2017
// 4
----
=== Annotation ExcelCellsJoinedByName
Using `ExcelCellsJoinedByName` we can read columns which name meets same regular expression. Values will be combined as a multi valued map.
Please pay attention the variable must be initialized explicitly.
[source,java]
----
public class Album {
@ExcelCellsJoinedByName(expression = "Artist") <1>
private MultiValuedMap artists = new ArrayListValuedHashMap<>();
@ExcelCellsJoinedByName(expression = "Track[0-9]+") <2>
private MultiValuedMap tracks = new ArrayListValuedHashMap<>();
}
----
1. Here we map multiple columns with `name` _Artist_.
2. Here we map multiple columns with `name` _Track1_, _Track2_, _Track3_, etc.
For example, here is the excel (`album.xls`) file we want to use:
|===
| Artist |Artist |Artist |Track1 |Track2
|Michael Jackson
|Lionel Richie
|Stevie Wonder
|We are the World
|We are the World (instrumental)
|artist 1
|artist 1
|artist 1
|track 1
|track 1
|===
[source,java]
----
List albums = Poiji.fromExcel(new File("album.xls"), Album.class);
albums.size();
// 2
Album album1 = albums.get(0);
// artists = { Artist = [Michael Jackson, Lionel Richie, Stevie Wonder] }
// tracks = { Track1 = [We are the World], Track2 = [We are the World (instrumental)] }
Album album2 = albums.get(1);
// artists = {Artist = [artist 1, artist 1, artist 1] }
// tracks = {Track2 = [track 1], Track1=[track 1] }
----
Json presentation for `album1` will be as follows
[source,json]
----
{
"artists": {
"Artist": [
"Michael Jackson",
"Lionel Richie",
"Stevie Wonder"
]
},
"tracks": {
"Track1": [
"We are the World"
],
"Track2": [
"We are the World (instrumental)"
]
}
}
----
=== ExcelCellRange Annotation
Consider you have a table like below:
|===
.2+|No. 5+|Personal Information 3+| 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`:
[source,java]
----
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`:
[source,java]
----
PoijiOptions options = PoijiOptions.PoijiOptionsBuilder.settings().headerCount(2).build();
List actualPersonalCredits = Poiji.fromExcel(new File(path), PersonCreditInfo.class, options);
PersonCreditInfo personCreditInfo1 = actualPersonalCredits.get(0);
PersonCreditInfo.PersonInfo expectedPerson1 = personCreditInfo1.getPersonInfo();
PersonCreditInfo.CardInfo expectedCard1 = personCreditInfo1.getCardInfo();
----
=== Support Consumer Interface
Poiji supports Consumer Interface. As https://github.com/ozlerhakan/poiji/pull/39#issuecomment-409521808[@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:
[source, java]
----
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;
}
}
----
[source, java]
----
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);
}
----
=== Custom Casting Implementation
You can create your own casting implementation without relying on the default Poiji casting configuration using the `Casting` interface.
[source,java]
----
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:
[source,java]
----
PoijiOptions options = PoijiOptions.PoijiOptionsBuilder.settings()
.withCasting(new MyCasting())
.build();
List people = Poiji.fromExcel(excel, Person.class, options);
----
=== Parse UnknownCells
You can annotate a `Map` 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:
[source,java]
----
public class MusicTrack {
@ExcelCellName("ID")
private String employeeId;
@ExcelCellName("AUTHOR")
private String author;
@ExcelCellName("NAME")
private String name;
@ExcelUnknownCells
private Map 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.
=== Optional Mandatory Headers and Cells
As of 4.0.0, `@ExcelCellName` and `@ExcelCell` are given to provide `mandatoryHeader` and `mandatoryCell` fields, meaning we can be more specific by declaring rules in headers or cells or both in excel files. `mandatoryHeader` expects the labeled excel column exists in a given excel file, while `mandatoryCell` looks into the values of the mentioned header/column. If any of the options is active and your excel breaks the rule, either a `HeaderMissingException` or `PoijiMultiRowException` will be thrown accordingly.
----
// default behavior
@ExcelCellName(value = "COLUMN_NAME", mandatoryHeader = false, mandatoryCell = false)
String fieldName;
// default behavior
@ExcelCell(value = COLUMN_INDEX, mandatoryHeader = false, mandatoryCell = false)
String fieldName;
----
[NOTE]
====
The `mandatoryHeader` field is compatible with XLS and XLSX files.
====
[NOTE]
====
The `mandatoryCell` field works **only** with XLS files and `Sheet` instances. XLS workbooks are opened with `RETURN_BLANK_AS_NULL` missing cell policy. If passing a `Sheet` instance it is up for the caller to make sure the missing cell policy of the parent workbook is set accordingly.
====
=== Debug Cells Formats
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 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 since we get the date value as (`12.00`). Let's see how internally the excel file is being parsed via `PoijiLogCellFormat`:
----
List 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.
=== Modify Cells Formats
We can change the default format of a cell using `PoijiNumberFormat`. Recall `Debug Cells Formats`, 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 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.
=== Read Excel Properties
It is possible to read excel properties from xlsx files. To achieve that, create a class with fields annotated with `@ExcelProperty`.
Example:
[source,java]
----
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`.
=== Disable Cells Formats
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 result = Poiji.fromExcel(new File(path), TestInfo.class, options); <1>
result.get(1).amount
// -50
----
1. Add `options`, if your excel is xlsx file.
=== Create Custom Formatting
You can create your own formatting implementation without relying on the default Poiji formatting configuration using the `Formatting` interface.
[source,java]
----
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:
[source,java]
----
PoijiOptions options = PoijiOptions.PoijiOptionsBuilder.settings()
.withFormatting(new MyFormatting())
.build();
List people = Poiji.fromExcel(excel, Person.class, options);
----
=== Poi Sheet Support
Poiji accepts excel records via Poi Sheet object as well:
[source,java]
----
File file = new File("/tmp/file.xlsx");
FileInputStream fileInputStream = new FileInputStream(file);
Workbook workbook = new XSSFWorkbook(fileInputStream);
Sheet sheet = workbook.getSheetAt(0);
List result = Poiji.fromExcel(sheet, Model.class);
----
=== Update Default Locale
For parsing numbers and dates java.lang.Locale is used. Also Apache Poi uses the Locale for parsing.
As default, Poij uses Locale.US irrespective of Locale used on the running system. If you want to change that
you can use a option to pass the Locale to be used like shown below.
In this example the Jvm default locale is used. Beware that if your code run's on a other Jvm with another Locale set as default parsing could give different results. Better is to use a fixed locale.
Also be aware of differences how Locales behave between Java 8 and 9+. For example AM/PM in Locale.GERMANY is displayed as AM/PM in Java 8 but Vorn./Nam. in Java 9 or higher.
This is due to the changes in Java 9. See https://openjdk.java.net/jeps/252[JEP-252] for more details.
[source,java]
----
PoijiOptions options = PoijiOptions.PoijiOptionsBuilder.settings()
.setLocale(Locale.getDefault())
.build();
----
== License
image:https://app.fossa.com/api/projects/git%2Bgithub.com%2Fozlerhakan%2Fpoiji.svg?type=large["FOSSA Status", link="https://app.fossa.com/projects/git%2Bgithub.com%2Fozlerhakan%2Fpoiji?ref=badge_large"]