Generating Huge reports in JasperReports
There are certain things to care while implementing the Jasper Reports for huge dataset to handle the memory efficiently, so that the appliacation does not go out of memory.
They are:
1) Pagination of the data and use of JRDataSource,
2) Viruatization of the report.
When there is a huge dataset, it is not a good idea to retrieve all the data at one time.The application will hog up the memory and you’re application will go out of memory even before coming to the jasper report engine to fill up the data.To avoid that, the service layer/Db layer should return the data in pages and you gather the data in chunks and return the records in the chunks using JRDataSource interface, when the records are over in the current chunk, get the next chunk untilall the chunks gets over.When I meant JRDataSource, do not go for the Collection datasources, you implement the JRDataSource interface and provide the data through next() and getFieldValue()To provide an example, I just took the “virtualizer” example from the jasperReports sampleand modified a bit to demonstrate for this article.To know how to implement the JRDataSource, Have a look at the inner class “InnerDS” in the example.
Even after returning the data in chunks, finally the report has to be a single file.Jasper engine build the JasperPrint object for this. To avoid the piling up of memory at this stage, JasperReports provided a really cool feature called Virtualizer. Virtualizer basically serializes and writes the pages into file system to avoid the out of memory condition. There are 3 types of Virtualizer out there as of now. They are JRFileVirtualizer, JRSwapFileVirtualizer, and JRGzipVirtualizer.JRFileVirtualizer is a really simple virtualizer, where you need to mention the number of pages to keep in memory and the directory in which the Jasper Engine can swap the excess pages into files. Disadvantage with this Virtualizer is file handling overhead. This Virtualizer creates so many files during the process of virtualization and finally produces the required report file from those files.If the dataset is not that large, then you can go far JRFileVirtualizer.The second Virtualizer is JRSwapFileVirtualizer, which overcomes the disadvantage of JRFileVirtualizer. JRSwapFileVirtualizer creates only one swap file,which can be extended based on the size you specify. You have to specify the directory to swap, initial file size in number of blocks and the extension size for the JRSwapFile. Then while creating the JRSwapFileVirtualizer, provide the JRSwapFile as a parameter, and the number of pages to keep in memory. This Virtualizer is the best fit for the huge dataset.The Third Virtualizer is a special virtualizer which does not write the data into files, instead it compresses the jasper print object using the Gzip algorithm and reduces the memory consumption in the heap memory.The Ultimate Guide of JasperReports says that JRGzipVirtualizer can reduce the memory consumption by 1/10th. If you are dataset is not that big for sure and if you want to avoid the file I/O, you can go for JRGzipVirtualizer.
Check the sample to know more about the coding part. To keep it simple, I have reused the “virtualizer” sample and added the JRDataSource implementation with paging.I ran the sample that I have attached here for four scenarios. To tighten the limits to get the real effects, I ran the application with 10 MB as the max heap size (-Xmx10M).
1a) No Virtualizer, which ended up in out of memory with 10MB max heap size limit.
export:
[java] Exception in thread “main” java.lang.OutOfMemoryError: Java heap space
[java] Java Result: 1
1b) No Virtualizer with default heap size limit (64M)
export2:
[java] null
[java] Filling time : 44547
[java] PDF creation time : 22109
[java] XML creation time : 10157
[java] HTML creation time : 12281
[java] CSV creation time : 2078
2) 2) With JRFileVirtualizer
exportFV:
[java] Filling time : 161170
[java] PDF creation time : 38355
[java] XML creation time : 14483
[java] HTML creation time : 17935
[java] CSV creation time : 5812
3) With JRSwapFileVirtualizer
exportSFV:
[java] Filling time : 51879
[java] PDF creation time : 32501
[java] XML creation time : 14405
[java] HTML creation time : 16579
[java] CSV creation time : 5365
4a) With GZipVirtualizer with lots of GC
exportGZV:
[java] Filling time : 84062
[java] Exception in thread “RMI TCP Connection(22)-127.0.0.1″ java.lang.OutOfMemoryError: Java heap space
[java] Exception in thread “RMI TCP Connection(24)-127.0.0.1″ java.lang.OutOfMemoryError: Java heap space
[java] Exception in thread “main” java.lang.OutOfMemoryError: Java heap space
[java] Exception in thread “RMI TCP Connection(25)-127.0.0.1″ java.lang.OutOfMemoryError: Java heap space
[java] Exception in thread “RMI TCP Connection(27)-127.0.0.1″ java.lang.OutOfMemoryError: Java heap space
[java] Java Result: 1
4b) With GZipVirtualizer (max: 13MB)
exportGZV2:
[java] Filling time : 59297
[java] PDF creation time : 35594
[java] XML creation time : 16969
[java] HTML creation time : 19468
[java] CSV creation time : 10313
I have shared the updated virtualizer sample files at Updated Virtualizer Sample files
Generating Huge reports in JasperReports的更多相关文章
- (转) [it-ebooks]电子书列表
[it-ebooks]电子书列表 [2014]: Learning Objective-C by Developing iPhone Games || Leverage Xcode and Obj ...
- systemtap 2.8 news
* What's new in version 2.8, 2015-06-17 - SystemTap has improved support for probing golang programs ...
- JasperReport html 导出
In my last blog post I discussed about Generating jasper reports in different formats using json fil ...
- 【RDA】使用RDA(Remote Diagnostic Agent)工具对数据库进行健康检查
[RDA]使用RDA(Remote Diagnostic Agent)工具对数据库进行健康检查 分类: Linux RDA英文全称叫做"Oracle Remote Diagnostic Ag ...
- 转载:《TypeScript 中文入门教程》 4、类
版权 文章转载自:https://github.com/zhongsp 建议您直接跳转到上面的网址查看最新版本. 介绍 传统的JavaScript程序使用函数和基于原型的继承来创建可重用的组件,但这对 ...
- Summary of Amazon Marketplace Web Service
Overview Here I want to summarize Amazon marketplace web service (MWS or AMWS) that can be used for ...
- ORACLE AWR概述及生成AWR报告
1.Overview of the Automatic Workload Repository The Automatic Workload Repository (AWR) collects, pr ...
- TypeScript学习笔记之类
TypeScript的类,简单地定义如下: class Person { x: number; // 默认为public类型 y: number; constructor(x1: number, y1 ...
- 负载,性能测试工具-Gatling
前言 Gatling Gatling是一款功能强大的负载测试工具,它为易于使用,高可维护性和高性能而设计. 开箱即用,Gatling由于对HTTP协议的出色支持,使其成为负载测试任何HTTP服务器的首 ...
随机推荐
- android application类的用法
android application类的用法 Application是android系统Framework提供的一个组件,它是单例模式(singleton),即每个应用只有一个实例,用来存储系统的一 ...
- abstract
/// <summary> /// 抽象类不能被直接实例化 /// is a /// </summary> public abstract class BasePhone { ...
- JS面向对象5中写法
//定义Circle类,拥有成员变量r,常量PI和计算面积的成员函数area() //第1种写法 function Circle(r) { this.r = r; } Circle.PI = 3.14 ...
- Sublime Text 3初体验之Package Control
http://www.imooc.com/article/12616 下面介绍几款Sublime Text 常用Package 1.Emmit 2.JavaScript & NodeJS Sn ...
- Zookeeper-集群环境搭建
一般为单数台机器,操作系统为linux. zookeeper为java编写,所以必须有java的运行环境. 下载地址:http://mirrors.hust.edu.cn/apache/zookeep ...
- 查找-find -grep
find#.#-name#"*pc"#|#xargs#grep#"Flag" “*.pc”设置要找的文件名grep后面是要找的字符串 #是空格
- 看了些关于rem的知识点,在这做个自我总结归纳
我们最常用的字体单位是PX和EM. 首先px: px像素(Pixel).相对长度单位.像素px是相对于显示器屏幕分辨率而言的.(引自CSS2.0手册) px会随着屏幕分辨率的改变而改变,但是浏览器对页 ...
- 使用spring手动控制事务
http://kiral.iteye.com/blog/92742 使用spring手动控制事务 Spring事务配置的五种方式 (1) http://www.cnblogs.com/hellojav ...
- iterm2 配色修改
打开终端 输入 cd ~ vim .bash_profile 插入 export CLICOLOR= export LSCOLORS=gxfxcxdxbxegedabagacad export PS1 ...
- android studio 打开github开源代码
1.最近下载的开源代码全是github来的,一直用eclipse开发,对于android studio来说是全新的 2.在eclipse导入一个工程那是so easy, import选择一下就可以. ...