<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[lmalds的专栏]]></title><description><![CDATA[倚南窗以寄傲，审容膝之易安。]]></description><link>https://blog.youkuaiyun.com/lmalds</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; lmalds]]></copyright><item><title><![CDATA[Flink+doris实现实时OLAP数据分析]]></title><link>https://blog.youkuaiyun.com/lmalds/article/details/110915932</link><guid>https://blog.youkuaiyun.com/lmalds/article/details/110915932</guid><author>lmalds</author><pubDate>Wed, 09 Dec 2020 09:30:58 +0800</pubDate><description><![CDATA[Flink+doris实现实时数据分析
Apache Doris 在京东搜索实时 OLAP 中的应用实践

]]></description><category></category></item><item><title><![CDATA[数据分析的新形式--自然语言搜索：NL2SQL2Graph]]></title><link>https://blog.youkuaiyun.com/lmalds/article/details/88636134</link><guid>https://blog.youkuaiyun.com/lmalds/article/details/88636134</guid><author>lmalds</author><pubDate>Mon, 18 Mar 2019 11:50:22 +0800</pubDate><description><![CDATA[数据分析的新形式--自然语言搜索：NL2SQL2Graph背景定位分析能力模型调研实现
背景
自然语言转SQL，再将SQL结果集转图形，在NLP领域是个非常不错的研究方向，这样做的好处在我看来，主要有以下点：

1、数据分析人员无需写Code（SQL）实现取数，搜索数据，灵活方便，支持快速多变的adhoc查询
2、相对于报表和BI系统，数据分析人员主动探索数据，而不是被动接收相对固定的报表
3、搜...]]></description><category></category></item><item><title><![CDATA[分享一个实时数仓系统--SnappyData的博客与中文社区]]></title><link>https://blog.youkuaiyun.com/lmalds/article/details/80051137</link><guid>https://blog.youkuaiyun.com/lmalds/article/details/80051137</guid><author>lmalds</author><pubDate>Mon, 23 Apr 2018 15:29:40 +0800</pubDate><description><![CDATA[分享一个实时OLAP系统–SnappyData的博客与中文社区

SnappyData中文博客 
SnappyData中文社区]]></description><category></category></item><item><title><![CDATA[SnappyData企业版中off-heap功能及与on-heap功能的对比]]></title><link>https://blog.youkuaiyun.com/lmalds/article/details/79445800</link><guid>https://blog.youkuaiyun.com/lmalds/article/details/79445800</guid><author>lmalds</author><pubDate>Mon, 05 Mar 2018 15:04:09 +0800</pubDate><description><![CDATA[目录：




1、SnappyData OSS的功能介绍
2、SnappyData企业版的额外功能
3、企业版off-heap功能的对比与测试
4、结论
5、参考









1、SnappyData OSS的功能介绍

OSS是Open Source SnappyData Community Edition的简称，其是一个基于Apache 2.0的开源的分布式数据库产品，包含了如下的功能...]]></description><category></category></item><item><title><![CDATA[SnappyData-一个构建在Spark上的支持实时HTAP场景的解决方案]]></title><link>https://blog.youkuaiyun.com/lmalds/article/details/79128778</link><guid>https://blog.youkuaiyun.com/lmalds/article/details/79128778</guid><author>lmalds</author><pubDate>Fri, 26 Jan 2018 16:41:52 +0800</pubDate><description><![CDATA[1、设计目标

1、实时的OLTP+OLAP型的操作
2、数据规模在50TB-100TB以下：太大规模的数据(PB规模)，还要求实时出结果的场景，并不是SnappyData的设计目标。

3、微批的流失写入：实时数据的写入最好按批次写入。例如列表上的频繁的基于点的update，效率并不是很高。






2、数据流






    上图介绍了流数据的注入以及]]></description><category></category></item><item><title><![CDATA[SnappyData--一个统一OLTP+OLAP+流式写入的内存分布式数据库]]></title><link>https://blog.youkuaiyun.com/lmalds/article/details/79107024</link><guid>https://blog.youkuaiyun.com/lmalds/article/details/79107024</guid><author>lmalds</author><pubDate>Fri, 19 Jan 2018 18:50:50 +0800</pubDate><description><![CDATA[一、背景：
    阔别个人博客有大半年了，这大半年来我从一个all in flink的角色转变到了一个兼顾实时流式处理与实时OLAP处理的角色。
    最近由于工作需要，在关注实时的OLTP+OLAP的HTAP场景的数据处理，优先保证低延迟的OLAP查询。说到这里，很容易让人想到Google的F1、Spanner，开源领域的代表TiDB。TiDB是个分布式的MySQL，对OLTP的支持很好]]></description><category></category></item><item><title><![CDATA[Flinkspector--Flink单元测试的开源框架]]></title><link>https://blog.youkuaiyun.com/lmalds/article/details/75669875</link><guid>https://blog.youkuaiyun.com/lmalds/article/details/75669875</guid><author>lmalds</author><pubDate>Fri, 21 Jul 2017 18:08:14 +0800</pubDate><description><![CDATA[Flink unit tests]]></description><category></category></item><item><title><![CDATA[Flink流计算编程--Flink扩容、程序升级前后的思考]]></title><link>https://blog.youkuaiyun.com/lmalds/article/details/73457767</link><guid>https://blog.youkuaiyun.com/lmalds/article/details/73457767</guid><author>lmalds</author><pubDate>Fri, 23 Jun 2017 18:00:20 +0800</pubDate><description><![CDATA[Flink
扩容]]></description><category></category></item><item><title><![CDATA[A Year of Blink at Alibaba: Apache Flink in Large Scale Production--翻译]]></title><link>https://blog.youkuaiyun.com/lmalds/article/details/72547839</link><guid>https://blog.youkuaiyun.com/lmalds/article/details/72547839</guid><author>lmalds</author><pubDate>Fri, 19 May 2017 17:11:18 +0800</pubDate><description><![CDATA[Flink]]></description><category></category></item><item><title><![CDATA[Flink Table & SQL API--动态表与Redo和Undo]]></title><link>https://blog.youkuaiyun.com/lmalds/article/details/71123592</link><guid>https://blog.youkuaiyun.com/lmalds/article/details/71123592</guid><author>lmalds</author><pubDate>Wed, 03 May 2017 15:01:45 +0800</pubDate><description><![CDATA[flink
SQL]]></description><category></category></item><item><title><![CDATA[Flink源码--CLI提交Job]]></title><link>https://blog.youkuaiyun.com/lmalds/article/details/70174778</link><guid>https://blog.youkuaiyun.com/lmalds/article/details/70174778</guid><author>lmalds</author><pubDate>Fri, 14 Apr 2017 17:56:09 +0800</pubDate><description><![CDATA[Flink]]></description><category></category></item><item><title><![CDATA[Flink流计算编程--看看别人怎么用Session Window]]></title><link>https://blog.youkuaiyun.com/lmalds/article/details/69267056</link><guid>https://blog.youkuaiyun.com/lmalds/article/details/69267056</guid><author>lmalds</author><pubDate>Wed, 05 Apr 2017 18:44:54 +0800</pubDate><description><![CDATA[Flink
Session window
early trigger]]></description><category></category></item><item><title><![CDATA[精通Apache Flink读书笔记--5]]></title><link>https://blog.youkuaiyun.com/lmalds/article/details/62426669</link><guid>https://blog.youkuaiyun.com/lmalds/article/details/62426669</guid><author>lmalds</author><pubDate>Fri, 17 Mar 2017 14:03:32 +0800</pubDate><description><![CDATA[Flink CEP]]></description><category></category></item><item><title><![CDATA[Apache Flink SQL示例]]></title><link>https://blog.youkuaiyun.com/lmalds/article/details/60959055</link><guid>https://blog.youkuaiyun.com/lmalds/article/details/60959055</guid><author>lmalds</author><pubDate>Thu, 09 Mar 2017 14:02:17 +0800</pubDate><description><![CDATA[Flink
SQL]]></description><category></category></item><item><title><![CDATA[精通Apache Flink读书笔记--3、4]]></title><link>https://blog.youkuaiyun.com/lmalds/article/details/60867262</link><guid>https://blog.youkuaiyun.com/lmalds/article/details/60867262</guid><author>lmalds</author><pubDate>Thu, 09 Mar 2017 13:43:55 +0800</pubDate><description><![CDATA[Flink]]></description><category></category></item><item><title><![CDATA[精通Apache Flink读书笔记--1、2]]></title><link>https://blog.youkuaiyun.com/lmalds/article/details/60575205</link><guid>https://blog.youkuaiyun.com/lmalds/article/details/60575205</guid><author>lmalds</author><pubDate>Mon, 06 Mar 2017 14:01:45 +0800</pubDate><description><![CDATA[Flink
Master Apache Flink]]></description><category></category></item><item><title><![CDATA[精通Apache Flink读书笔记]]></title><link>https://blog.youkuaiyun.com/lmalds/article/details/60573227</link><guid>https://blog.youkuaiyun.com/lmalds/article/details/60573227</guid><author>lmalds</author><pubDate>Mon, 06 Mar 2017 11:33:05 +0800</pubDate><description><![CDATA[Mastering Apache Flink]]></description><category></category></item><item><title><![CDATA[Flink流计算编程--Flink中allowedLateness详细介绍及思考]]></title><link>https://blog.youkuaiyun.com/lmalds/article/details/55259718</link><guid>https://blog.youkuaiyun.com/lmalds/article/details/55259718</guid><author>lmalds</author><pubDate>Fri, 17 Feb 2017 11:06:39 +0800</pubDate><description><![CDATA[Flink
allowedLateness]]></description><category></category></item><item><title><![CDATA[解读Flink中轻量级的异步快照机制--Flink 1.2 源码]]></title><link>https://blog.youkuaiyun.com/lmalds/article/details/54948495</link><guid>https://blog.youkuaiyun.com/lmalds/article/details/54948495</guid><author>lmalds</author><pubDate>Thu, 09 Feb 2017 16:17:43 +0800</pubDate><description><![CDATA[Flink
ABS
Barrier]]></description><category></category></item><item><title><![CDATA[解读Flink中轻量级的异步快照机制--论文]]></title><link>https://blog.youkuaiyun.com/lmalds/article/details/54925877</link><guid>https://blog.youkuaiyun.com/lmalds/article/details/54925877</guid><author>lmalds</author><pubDate>Wed, 08 Feb 2017 13:55:21 +0800</pubDate><description><![CDATA[Flink
Snapshot
ABS]]></description><category></category></item></channel></rss>