Spring Batch extension containing an ItemReader
implementation for Excel based on Apache POI. It supports reading both XLS and XLSX files. For the latter, there is also (experimental) streaming support.
The PoiItemReader
has the most features but is also the most memory intensive and might lead to memory issues with large XLS(X) sheets.
To reduce the memory footprint the StreamingXlsxItemReader
can be used, this will only keep the current row in memory and discard it afterward. Not everything is supported while streaming the XLSX file. It can be that formulas don’t get evaluated or lead to an error.
Warning
|
The ItemReader classess are not threadsafe. The API from Apache POI itself isn’t threadsafe as well as the AbstractItemCountingItemStreamItemReader used as a base class for the ItemReader classes. Reading from multiple threads is therefore not supported. Using a multi-threaded processor/writer should work as long as you use a single thread for reading.
|
Compatibility: Spring Batch Excel is compatible with Spring Batch 5.x.
Next to the configuration of Spring Batch one needs to configure the PoiItemReader
.
Configuration of can be done in XML or Java Config.
<bean id="excelReader" class="org.springframework.batch.extensions.excel.poi.PoiItemReader" scope="step">
<property name="resource" value="file:/path/to/your/excel/file" />
<property name="rowMapper">
<bean class="org.springframework.batch.extensions.excel.mapping.PassThroughRowMapper" />
</property>
</bean>
@Bean
@StepScope
public PoiItemReader excelReader(RowMapper rowMapper) {
PoiItemReader reader = new PoiItemReader();
reader.setResource(new FileSystemResource("/path/to/your/excel/file"));
reader.setRowMapper(rowMapper);
return reader;
}
@Bean
public RowMapper rowMapper() {
return new PassThroughRowMapper();
}
Configuration can be done in XML or Java Config.
<bean id="excelReader" class="org.springframework.batch.extensions.excel.streaming.StreamingXlsxItemReader" scope="step">
<property name="resource" value="file:/path/to/your/excel/file" />
<property name="rowMapper">
<bean class="org.springframework.batch.extensions.excel.mapping.PassThroughRowMapper" />
</property>
</bean>
@Bean
@StepScope
public StreamingXlsxItemReader excelReader(RowMapper rowMapper) {
StreamingXlsxItemReader reader = new StreamingXlsxItemReader();
reader.setResource(new FileSystemResource("/path/to/your/excel/file"));
reader.setRowMapper(rowMapper);
return reader;
}
@Bean
public RowMapper rowMapper() {
return new PassThroughRowMapper();
}
Property | Required | Default | Description |
---|---|---|---|
|
no |
1 |
The number of blank lines before stopping to read. |
|
no |
0 |
The number of lines to skip, this applies to each sheet in the Excel file, can be useful if the first couple of lines provide header information. |
|
no |
|
The password used to protect an XLS file. Only works for XLS files not XLSX files (not supported with streaming). |
|
yes |
|
Location of the excel file to read, can be any resource supported by Spring. |
|
yes |
|
transforms the rows read from the sheet(s) to an object which you can use in the rest of the process. |
|
no |
|
For reading rows a |
|
no |
|
When rows are skipped an optional |
|
no |
|
This controls wether or not an exception is thrown if the file doesn’t exists or isn’t readable, by default an exception will be thrown. |
|
no |
|
Controls if dates need to be parsed as ISO or to use the format as specified in the excel sheet. |
|
no |
|
Set the |
|
no |
|
To additionally configure the |
|
no |
|
A factory approach to create a |
-
StaticColumnNameExtractor
uses a preset list of column names. -
RowNumberColumnNameExtractor
(the default) reads a given row (default 0) to determine the column names of the current sheet
To map a read row a RowMapper
is needed. Out-of-the-box there are 2 implementations. The PassThroughRowMapper
and BeanWrapperRowMapper
.
Uses a BeanWrapper
to convert a given row into an object. Uses the column names of the given RowSet
to map column to properties of the targetType
or prototype bean.
<bean id="excelReader" class="org.springframework.batch.extensions.excel.poi.PoiItemReader" scope="step">
<property name="resource" value="file:/path/to/your/excel/file" />
<property name="rowMapper">
<bean class="org.springframework.batch.extensions.excel.mapping.BeanWrapperRowMapper">
<property name="targetType" value="com.your.package.Player" />
</bean>
</property>
</bean>
or the same in Java configuration.
@Bean
public PoiItemReader excelReader(BeanWrapperRowMapper rowMapper) {
var excelReader = new PoiItemReader();
excelReader.setResource(new FileSystemResouce("file:/path/to/your/excel/file"));
excelReader.setRowMapper(rowMapper);
return excelReader;
}
@Bean
public BeanWrapperRowMapper rowMapper() {
var rowMapper = new BeanWrapperRowMapper<Player>();
rowMapper.setTargetType(Player.class);
return rowMapper;
}
Note
|
When using the BeanWrapperRowMapper with the StreamingXlsxItemReader it is required to use the StaticColumnNameExtractor to provide the column names for mapping purposes. The reason for this is that we cannot read a specific row while streaming the results.
|
<bean id="excelReader" class="org.springframework.batch.extensions.excel.streaming.StreamingXlsxItemReader" scope="step">
<property name="resource" value="file:/path/to/your/excel/file" />
<property name="rowMapper">
<bean class="org.springframework.batch.extensions.excel.mapping.BeanWrapperRowMapper">
<property name="targetType" value="org.springframework.batch.extensions.excel.Player" />
</bean>
</property>
<property name="rowSetFactory">
<bean class="org.springframework.batch.extensions.excel.support.rowset.DefaultRowSetFactory">
<property name="columnNameExtractor">
<bean class="org.springframework.batch.extensions.excel.support.rowset.StaticColumnNameExtractor">
<constructor-arg value="id,position,lastName,firstName,birthYear,debutYear,comment" />
</bean>
</property>
</bean>
</property>
</bean>
And the same in Java Configuration.
@Bean
public StreamingXlsxItemReader excelReader(BeanWrapperRowMapper rowMapper) {
var columns = new String[] {"id", "position", "lastName", "firstName", "birthYear", "debutYear","comment"};
var columnNameExtractor = new StaticColumnNameExtractor(columns);
var rowSetFactory = new DefaultRowSetFactory();
rowSetFactory.setColumnNameExtractor(columnNameExtractor);
var excelReader = new StreamingXlsxItemReader();
excelReader.setResource(new FileSystemResouce("file:/path/to/your/excel/file"));
excelReader.setRowMapper(rowMapper);
excelReader.set
return excelReader;
}
@Bean
public BeanWrapperRowMapper rowMapper() {
var rowMapper = new BeanWrapperRowMapper<Player>();
rowMapper.setTargetType(Player.class);
return rowMapper;
}
When opening large Excel files or Excel files with large amounts of data in a single cell it might fail with an error
"Unexpected error Tried to allocate an array of length 162,386,364, but the maximum length for this record type is 100,000,000. If the file is not corrupt or large, please open an issue on bugzilla to request increasing the maximum allowable size for this record type. As a temporary workaround, consider setting a higher override value with IOUtils.setByteArrayMaxOverride()"
This is due to the maximum lenght for certain datatypes is limited. To prevent this from happening you can use the IOUtils.setByteArrayMaxOverride()
method to increase the allowed size. It is however important that this is set before anything POI related has been processed/configured.
Ideally, when using Spring Boot, you can set this before launching the application or by putting this in a static {}
initializer block of the Spring Batch job configuration.
import org.apache.poi.util.IOUtils;
@SpringBootApplication
public class MyBatchApplication {
public static void main(String[] args) {
IOUtils.setByteArrayMaxOverride(Integer.MAX_VALUE);
SpringApplication.run(MyBatchApplication.class, args);
}
}