Display Base64 content as image in Jaspersoft Reports

Sadakar Pochampalli
JasperSoft BI Suite Tutorials - Sadakar Pochampalli )

Problem statement:
Display Base64 database field as an image in  Jasper Reports. 

As on writing this page , test results showed me that byte[] data type is supported in studio to display image but not in server and eventually ended up with byte[] unsupported errors messages on jasper console.  

Software's used: 
Studio professional 7.8, "PostgreSQL 9.3.20, compiled by Visual C++ build 1600, 64-bit"

Studio design:

Output in Studio: 


SQL for creating a sample table containing Base64 image data. 

CREATE TABLE public.base64image (
id serial PRIMARY KEY,
image_base64 varchar(5000000) NULL
);
INSERT INTO base64image
(id,image_base64)
VALUES(1, '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');
select * from base64image where id=1

Design Steps: 
1. Drag and drop image component from Palette. 
2. In the properties, open Expression Editor on Image tab and write below expression. 

net.sf.jasperreports.engine.util.JRImageLoader.getInstance(new SimpleJasperReportsContext()).loadAwtImageFromBytes(Base64.getDecoder().decode($F{image_base64}))

3. Save the report and Preview in Studio or Publish and run the report in JasperServer. 


JRXML: Works in 7.8 Pro Studio or later
<?xml version="1.0" encoding="UTF-8"?>
<!-- Created with Jaspersoft Studio version 6.4.21.final using JasperReports Library version 6.4.1 -->
<jasperReport xmlns="http://jasperreports.sourceforge.net/jasperreports" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://jasperreports.sourceforge.net/jasperreports http://jasperreports.sourceforge.net/xsd/jasperreport.xsd" name="Base64ImageSadakar" pageWidth="595" pageHeight="842" whenNoDataType="AllSectionsNoDetail" columnWidth="555" leftMargin="20" rightMargin="20" topMargin="20" bottomMargin="20" uuid="35e03267-2cbe-4840-a4ed-41342e5a701c">
<property name="com.jaspersoft.studio.data.sql.tables" value=""/>
<property name="com.jaspersoft.studio.data.defaultdataadapter" value="foodmart"/>
<property name="ireport.jasperserver.url" value="http://localhost:8080/jasperserver-pro/"/>
<property name="ireport.jasperserver.user" value="superuser"/>
<property name="ireport.jasperserver.reportUnit" value="/Explore/Base64ImageSadakar"/>
<property name="com.jaspersoft.studio.property.dataset.dialog.DatasetDialog.sash.w1" value="420"/>
<property name="com.jaspersoft.studio.property.dataset.dialog.DatasetDialog.sash.w2" value="566"/>
<property name="ireport.jasperserver.report.resource" value="/Explore/Base64ImageSadakar_files/main_jrxml"/>
<queryString language="SQL">
<![CDATA[select * from base64image where id=1]]>
</queryString>
<field name="id" class="java.lang.Integer"/>
<field name="image_base64" class="java.lang.String"/>
<background>
<band splitType="Stretch"/>
</background>
<summary>
<band height="288">
<image scaleImage="FillFrame" isUsingCache="false" evaluationTime="Report">
<reportElement x="0" y="0" width="230" height="250" uuid="66f3d413-a9e1-4510-986b-7b66e323355a"/>
<box>
<pen lineColor="#BBBFBD"/>
<topPen lineWidth="1.0" lineStyle="Solid" lineColor="#BBBFBD"/>
<leftPen lineWidth="1.0" lineStyle="Solid" lineColor="#BBBFBD"/>
<bottomPen lineWidth="1.0" lineStyle="Solid" lineColor="#BBBFBD"/>
<rightPen lineWidth="1.0" lineStyle="Solid" lineColor="#BBBFBD"/>
</box>
<graphicElement fill="Solid"/>
<imageExpression><![CDATA[net.sf.jasperreports.engine.util.JRImageLoader.getInstance(new SimpleJasperReportsContext()).loadAwtImageFromBytes(Base64.getDecoder().decode($F{image_base64}))]]></imageExpression>
</image>
</band>
</summary>
</jasperReport>

References: 

Get Base64 encoding @ https://base64.guru/converter/encode/image


Feedback
randomness