js based 2d visio like opensouce library
http://draw2d.org/draw2d/
Showing posts with label English en. Show all posts
Showing posts with label English en. Show all posts
Saturday, January 17, 2009
web on the fly drawing
flash-svg-editor-live-demo:
http://blog.tiagocardoso.eu/mainada/comics-sketch/2008/11/12/flash-svg-editor-live-demo/
inputdraw tag
http://mainada.net/inputdraw
comics sketch
http://mainada.net/comicssketch
http://blog.tiagocardoso.eu/mainada/comics-sketch/2008/11/12/flash-svg-editor-live-demo/
inputdraw tag
http://mainada.net/inputdraw
comics sketch
http://mainada.net/comicssketch
Wednesday, January 14, 2009
http://www.itpub.net/viewthread.php?tid=1089050&extra=page%3D1%26amp%3Bfilter%3Ddigest&page=5
我只探讨具体技术问题，和主题无关，不关心rac适合oltp还是olap的讨论。
对数据库目前关心的是把 olap放到 greenplum 或者hadoop上，oltp拆分放到 mysql上。
对系统关心的是如何提高资源利用率和降低成本上。
对团队关心的是如何不断的提高
对技术部门关心的是如何让创新的想法和行动成为一种常态。
……
努力中……
http://www.itpub.net/viewthread.php?tid=1089050&extra=page%3D1%26amp%3Bfilter%3Ddigest&page=16
#155
http://www.itpub.net/viewthread.php?tid=1089050&extra=page%3D1%26amp%3Bfilter%3Ddigest&page=16
#160
< 原帖由 renegadeYanni 于 2008-11-24 08:54 发表
< 阿里有没有负责开发这类通用软件的部门？我对这方面的开发很感兴趣哦。
现在有整合的平台技术部，负责平台通用技术的开发
http://www.itpub.net/viewthread.php?tid=1089050&extra=page%3D1%26amp%3Bfilter%3Ddigest&page=13
http://www.itpub.net/viewthread.php?tid=1089050&extra=page%3D1%26amp%3Bfilter%3Ddigest&page=12
ibm 卖cpu的数量就是按照核计算的。因为p590是一块板 8个核，就是计算8个cpu卖
跟 intel cpu不是一样的。
http://www.itpub.net/viewthread.php?tid=1089050&extra=page%3D1%26amp%3Bfilter%3Ddigest&page=6
ebay在 f5 分析url规则来转发 ＋ shareplex 同步 是成功的，但这个也要再架构层面布局做好基础，现有的比较复杂的系统要去改造成本还是蛮大的。就我们现在的情况而言，如果要在 rac 的intance之间分割应用，其实不困难的，因为只要分割主要的压力大但关联少的应用就可以了。但没下这个决定的原因也是多方面的，毕竟比如 4c core 的 pc，4个节点，那么license数量就是 4*4/2*4*1.75=56个。这样的软件成本其实也蛮高的了。 而如果是 p590，16c的 590的license是 16*0.75*1.25=15，那么license数量差异是 41个（费用上有多少大家心里就有数了）。 而基本上以前我们会认为4个pc server的rac 不会强于一台 16c的 590 的 oltp能力。 一台 16c的 590 的价格大约在 280万左右。 所以以前在 oltp上采用了 ibm小型机这样的策略，毕竟风险也低一些。
但是未来 p590 满足不了需要，必须要分割，既然分割，那么就没必要依赖小型机了。
你可以尝试一下 like 这样的字符串函数看看,或者再pl/sql自己写个函数.
当然，我这么说，只是表明， cpu、内存、io 都可能在不同的场景下成为瓶颈。 不要理解为 cpu是瓶颈io不是瓶颈。
http://www.itpub.net/viewthread.php?tid=1089050&extra=page%3D1%26amp%3Bfilter%3Ddigest&page=5
BTW: 我只探讨具体技术问题，和主题无关，不关心rac适合oltp还是olap的讨论。 对数据库目前关心的是把 olap放到 greenplum 或者hadoop上，oltp拆分放到 mysql上。 对系统关心的是如何提高资源利用率和降低成本上。
我只探讨具体技术问题，和主题无关，不关心rac适合oltp还是olap的讨论。
对数据库目前关心的是把 olap放到 greenplum 或者hadoop上，oltp拆分放到 mysql上。
对系统关心的是如何提高资源利用率和降低成本上。
对团队关心的是如何不断的提高
对技术部门关心的是如何让创新的想法和行动成为一种常态。
……
努力中……
http://www.itpub.net/viewthread.php?tid=1089050&extra=page%3D1%26amp%3Bfilter%3Ddigest&page=16
#155
刚跟平台技术部的人沟通了下我们的想法和规划。
不光要解决oracle之间的和数据同步，将来还要解决和mysql之间的同步，解决跟memcache系统之间的数据刷新
这种东西么，先满足内部需要，然后逐步产品化，也是一个比较稳的路子
http://www.itpub.net/viewthread.php?tid=1089050&extra=page%3D1%26amp%3Bfilter%3Ddigest&page=16
#160
cache有很多层面，在数据库之外，几年以前就存在着 ldap、memcache、search engine 这些东西，只是后来去掉了ldap放到数据库中，又把移到 数据库中的这部分放到了自己改造的memcache中。
总之，一个大型网站的背后，实际上使用到的技术是很多的，结构也可能是很复杂的。 技术的进步，不过是在不同的时期做不同的排列组合，适当的引入新鲜的东西进来。
< 原帖由 renegadeYanni 于 2008-11-24 08:54 发表
< 阿里有没有负责开发这类通用软件的部门？我对这方面的开发很感兴趣哦。
现在有整合的平台技术部，负责平台通用技术的开发
http://www.itpub.net/viewthread.php?tid=1089050&extra=page%3D1%26amp%3Bfilter%3Ddigest&page=13
由于数据仓库的需求相对比较简单，目前我们只需要部分大表，不够适时解析和直接应用作为产品考虑的问题多。并且目前仅仅对归档日志进行解析（lag time 5分钟），批量测试100g 日志的时间在 30分钟左右，这样计算下来我只能说批量分析获取部分表的数据可以达到 50MB/S 。
但要做成 适时解析 redo log的极限是多少我还不清楚，还没正式测试这个,毕竟这个跟分析结果写磁盘或者入队列还有很大关系，这个数字我不能保证。 btw，目前在 aix上测试的，解析进程允许使用 3g 内存。
http://www.itpub.net/viewthread.php?tid=1089050&extra=page%3D1%26amp%3Bfilter%3Ddigest&page=12
ibm 卖cpu的数量就是按照核计算的。因为p590是一块板 8个核，就是计算8个cpu卖
跟 intel cpu不是一样的。
http://www.itpub.net/viewthread.php?tid=1089050&extra=page%3D1%26amp%3Bfilter%3Ddigest&page=6
ebay在 f5 分析url规则来转发 ＋ shareplex 同步 是成功的，但这个也要再架构层面布局做好基础，现有的比较复杂的系统要去改造成本还是蛮大的。就我们现在的情况而言，如果要在 rac 的intance之间分割应用，其实不困难的，因为只要分割主要的压力大但关联少的应用就可以了。但没下这个决定的原因也是多方面的，毕竟比如 4c core 的 pc，4个节点，那么license数量就是 4*4/2*4*1.75=56个。这样的软件成本其实也蛮高的了。 而如果是 p590，16c的 590的license是 16*0.75*1.25=15，那么license数量差异是 41个（费用上有多少大家心里就有数了）。 而基本上以前我们会认为4个pc server的rac 不会强于一台 16c的 590 的 oltp能力。 一台 16c的 590 的价格大约在 280万左右。 所以以前在 oltp上采用了 ibm小型机这样的策略，毕竟风险也低一些。
但是未来 p590 满足不了需要，必须要分割，既然分割，那么就没必要依赖小型机了。
你可以尝试一下 like 这样的字符串函数看看,或者再pl/sql自己写个函数.
当然，我这么说，只是表明， cpu、内存、io 都可能在不同的场景下成为瓶颈。 不要理解为 cpu是瓶颈io不是瓶颈。
http://www.itpub.net/viewthread.php?tid=1089050&extra=page%3D1%26amp%3Bfilter%3Ddigest&page=5
BTW: 我只探讨具体技术问题，和主题无关，不关心rac适合oltp还是olap的讨论。 对数据库目前关心的是把 olap放到 greenplum 或者hadoop上，oltp拆分放到 mysql上。 对系统关心的是如何提高资源利用率和降低成本上。
Oracle Exadata Storage
http://www.oracle.com/solutions/business_intelligence/exadata.html
The best performance is 1T/3s Scanning.
The best performance is 1T/3s Scanning.
Oracle Exadata Storage
Oracle Exadata is a family of high performance storage software and hardware products that can improve data warehouse query performance by a factor of 10X or more. Oracle Exadata Storage is a combination of smart storage software from Oracle and industry-standard hardware from HP. Overcoming the limitations of conventional storage, Oracle Exadata uses a massively parallel architecture to dramatically increase data bandwidth between the database server and storage. In addition, smart storage software offloads data-intensive query processing from Oracle Database 11g Servers and does the query processing closer to the data. The result - faster, parallel data processing and less data movement through higher bandwidth connections.
SharePlex for Oracle
http://www.quest.com/shareplex-for-oracle/
Real-time, Low-impact Oracle Data Movement
SharePlex® for Oracle
SharePlex® for Oracle is the leading database replication solution that supports high availability, disaster recovery, reporting, data movement and application integration, with zero-to-minimal impact on Oracle OLTP systems.
In today's economic environment, time and cost savings are front and center. Your budget might not be growing but the need to move and manage large volumes of data on your Oracle databases -- without downtime -- never goes away. With Shareplex, you can realize greater productivity and greater return on your organization's investment in Oracle replication software -- in less time than you thought possible.
Real-time, Low-impact Oracle Data Movement
SharePlex® for Oracle
SharePlex® for Oracle is the leading database replication solution that supports high availability, disaster recovery, reporting, data movement and application integration, with zero-to-minimal impact on Oracle OLTP systems.
In today's economic environment, time and cost savings are front and center. Your budget might not be growing but the need to move and manage large volumes of data on your Oracle databases -- without downtime -- never goes away. With Shareplex, you can realize greater productivity and greater return on your organization's investment in Oracle replication software -- in less time than you thought possible.
High Overload High Perfomance Systems (Distributed)
http://www.danga.com/memcached/
memcached is a high-performance, distributed memory object caching system, generic in nature, but intended for use in speeding up dynamic web applications by alleviating database load.
http://www.cs.vu.nl/pub/amoeba/
- The distributed FS is powerful
The Amoeba Distributed Operating System. Amoeba is a powerful microkernel-based system that turns a collection of workstations or single-board computers into a transparent distributed system. It has been in use in academia, industry, and government for about 5 years. It runs on the SPARC (Sun4c and Sun4m), the 386/486, 68030, and Sun 3/50 and Sun 3/60. At the Vrije Universiteit, Amoeba runs on a collection of 80 single-board SPARC computers connected by an Ethernet, forming a powerful processor pool. This equipment is pictured below. It is used for research in distributed and parallel operating systems, runtime systems, languages, and applications.
http://hadoop.apache.org/core/
Distributed file system from apache.
Hadoop is a software platform that lets one easily write and run applications that process vast amounts of data.
Here's what makes Hadoop especially useful:
* Scalable: Hadoop can reliably store and process petabytes.
* Economical: It distributes the data and processing across clusters of commonly available computers. These clusters can number into the thousands of nodes.
* Efficient: By distributing the data, Hadoop can process it in parallel on the nodes where the data is located. This makes it extremely rapid.
* Reliable: Hadoop automatically maintains multiple copies of data and automatically redeploys computing tasks based on failures.
Hadoop implements MapReduce, using the Hadoop Distributed File System (HDFS) (see figure below.) MapReduce divides applications into many small blocks of work. HDFS creates multiple replicas of data blocks for reliability, placing them on compute nodes around the cluster. MapReduce can then process the data where it is located.
Hadoop has been demonstrated on clusters with 2000 nodes. The current design target is 10,000 node clusters.
For more information about Hadoop, please see the Hadoop wiki.
http://www.greenplum.com/
Greenplum is redefining the database for Petabyte-scale analytics at breakthrough speeds. Gain competitive advantage and extreme scalability at a lower cost, by managing all of your data on commodity hardware running Greenplum Database.
World’s Most Powerful Analytical Database
memcached is a high-performance, distributed memory object caching system, generic in nature, but intended for use in speeding up dynamic web applications by alleviating database load.
http://www.cs.vu.nl/pub/amoeba/
- The distributed FS is powerful
The Amoeba Distributed Operating System. Amoeba is a powerful microkernel-based system that turns a collection of workstations or single-board computers into a transparent distributed system. It has been in use in academia, industry, and government for about 5 years. It runs on the SPARC (Sun4c and Sun4m), the 386/486, 68030, and Sun 3/50 and Sun 3/60. At the Vrije Universiteit, Amoeba runs on a collection of 80 single-board SPARC computers connected by an Ethernet, forming a powerful processor pool. This equipment is pictured below. It is used for research in distributed and parallel operating systems, runtime systems, languages, and applications.
http://hadoop.apache.org/core/
Distributed file system from apache.
Hadoop is a software platform that lets one easily write and run applications that process vast amounts of data.
Here's what makes Hadoop especially useful:
* Scalable: Hadoop can reliably store and process petabytes.
* Economical: It distributes the data and processing across clusters of commonly available computers. These clusters can number into the thousands of nodes.
* Efficient: By distributing the data, Hadoop can process it in parallel on the nodes where the data is located. This makes it extremely rapid.
* Reliable: Hadoop automatically maintains multiple copies of data and automatically redeploys computing tasks based on failures.
Hadoop implements MapReduce, using the Hadoop Distributed File System (HDFS) (see figure below.) MapReduce divides applications into many small blocks of work. HDFS creates multiple replicas of data blocks for reliability, placing them on compute nodes around the cluster. MapReduce can then process the data where it is located.
Hadoop has been demonstrated on clusters with 2000 nodes. The current design target is 10,000 node clusters.
For more information about Hadoop, please see the Hadoop wiki.
http://www.greenplum.com/
Greenplum is redefining the database for Petabyte-scale analytics at breakthrough speeds. Gain competitive advantage and extreme scalability at a lower cost, by managing all of your data on commodity hardware running Greenplum Database.
World’s Most Powerful Analytical Database
Atul Mehta's o r a c l e World
http://www.orakle.com/
Atul Mehta's o r a c l e World - the oracle directory page
Atul Mehta's o r a c l e World - the oracle directory page
Tuesday, January 13, 2009
EMC SnapView snapshot, clone, mirrorview
http://www.dell.com/downloads/global/solutions/Data_Replication_and_Recovery_SnapView_MirrorView.doc
Monday, January 12, 2009
Java script advanced editor list
Spreadsheet Dojo Widget
http://blog.tremend.ro/wp-content/uploads/2006/09/spreadsheet_custom_build/test_spreadsheet.htm
SpreadSheet is an excel-like application. It's written in pure dhtml/javascript and works without installation of any plugins, java code etc.
http://209.85.175.104/search?q=cache:YkrMLx5cm7EJ:www.blueshoes.org/en/javascript/spreadsheet/+javascript+spreadsheet&hl=en&ct=clnk&cd=1&client=opera
http://www.blueshoes.org/_bsJavascript/components/spreadsheet/examples/example1.html
http://blog.tremend.ro/wp-content/uploads/2006/09/spreadsheet_custom_build/test_spreadsheet.htm
SpreadSheet is an excel-like application. It's written in pure dhtml/javascript and works without installation of any plugins, java code etc.
http://209.85.175.104/search?q=cache:YkrMLx5cm7EJ:www.blueshoes.org/en/javascript/spreadsheet/+javascript+spreadsheet&hl=en&ct=clnk&cd=1&client=opera
http://www.blueshoes.org/_bsJavascript/components/spreadsheet/examples/example1.html
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