CNOUG.net Planet

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        <item>
            <title>Research in the MapReduce Space</title>
            <link>http://feedproxy.google.com/~r/nosql/~3/cQ6o5SfJnxw/17119270028</link>
            <description>&lt;p&gt;Over the weekend I’ve read two papers presenting products or research related to improving or adding new capabilities to the MapReduce data processing approach. The first of them comes from a team at Microsoft and is describing &lt;a href=&quot;http://nosql.mypopescu.com/post/17117439677&quot; title=&quot;Paper: TiMR is a Time-oriented data processing system in MapReduce&quot; target=&quot;_blank&quot;&gt;TiMR a time-oriented data processing system in MapReduce&lt;/a&gt;. The second, from a team at Google, presents &lt;a href=&quot;http://nosql.mypopescu.com/post/17118426860&quot; title=&quot;Paper: Tenzing: A SQL Implementation on the MapReduce Framework&quot; target=&quot;_blank&quot;&gt;Tenzin - a SQL implementation on the MapReduce framework&lt;/a&gt;. It’s great to learn that while the Hadoop community is eliminating some of the initial limitations and hardening the technical details of the platform, there are already ideas and systems out there that augment the capabilities of the MapReduce data processing model.&lt;/p&gt;

&lt;p class=&quot;cc&quot; style=&quot;font-style: italic; font-size: 0.9em;&quot;&gt;Original title and link: &lt;a href=&quot;http://nosql.mypopescu.com/&quot; rel=&quot;permalink&quot; style=&quot;color:red&quot; target=&quot;_blank&quot;&gt;Research in the MapReduce Space&lt;/a&gt; (&lt;a href=&quot;http://nosql.mypopescu.com&quot; style=&quot;display:none;visibility:hidden;&quot; target=&quot;_blank&quot;&gt;NoSQL database&lt;/a&gt;©myNoSQL)&lt;/p&gt;

&lt;!--quid:3b0ae92c39c172677e46837b571844b0bef3d062--&gt;&lt;div class=&quot;feedflare&quot;&gt;
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        <item>
            <title>Paper: Tenzing A SQL Implementation on the MapReduce Framework</title>
            <link>http://feedproxy.google.com/~r/nosql/~3/CDYBYMW-yvs/17118426860</link>
            <description>&lt;p&gt;This recent paper from a team at Google is presenting details about Tenzing a system that is currently in use at Google:&lt;/p&gt;
&lt;blockquote&gt;
&lt;p&gt;Tenzing is a query engine built on top of MapReduce for ad hoc analysis of Google data. Tenzing supports a mostly complete SQL implementation (with several extensions) combined with several key characteristics such as heterogeneity, high performance, scalability, reliability, metadata awareness, low latency, support for columnar storage and structured data, and easy extensibility.&lt;/p&gt;
&lt;/blockquote&gt;
&lt;p&gt;A couple of things I’ve highlighted when reading it:&lt;/p&gt;
&lt;ul&gt;&lt;li&gt;Tenzing is in production, but doesn’t serve yet a huge amount of queries&lt;/li&gt;
&lt;li&gt;the backend storage can be a mix of various data stores, such as ColumnIO, Bigtable, GFS files, MySQL databases&lt;/li&gt;
&lt;li&gt;when compared with other similar solutions (Sawzall, Flume-Java, Pig, Hive„ HadoopDB), Tenzing’s advantage is low latency&lt;/li&gt;
&lt;li&gt;the paper acknowledges AsterData, GreenPlum, Paraccel, Vertica for using a MapReduce execution model in their engines&lt;/li&gt;
&lt;li&gt;to perform query optimizations, Tenzing is enhancing queries with information from a metadata server&lt;ul&gt;&lt;li&gt;there is no information about what kind of metadata is needed in Tenzing. I assume it might refer to details about the data sources and data source metadata (indexes, access patterns, etc)&lt;/li&gt;
&lt;/ul&gt;&lt;/li&gt;
&lt;li&gt;to reduce query latency, processes are kept running&lt;/li&gt;
&lt;li&gt;Tenzing supports almost all SQL92 standard and some extensions from SQL99&lt;ul&gt;&lt;li&gt;projection and filtering (for some of these and depending on the data source Tenzing can do some optimizations)&lt;/li&gt;
&lt;li&gt;set operations (implemented in the reduce phase)&lt;/li&gt;
&lt;li&gt;nested queries and subqueries&lt;/li&gt;
&lt;li&gt;aggregation and statistical functions&lt;/li&gt;
&lt;li&gt;analytic functions (syntax similar to PostgreSQL/Oracle)&lt;/li&gt;
&lt;li&gt;OLAP extensions&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;JOINs: &lt;/p&gt;
&lt;blockquote&gt;
&lt;p&gt;Tenzing supports efficient joins across data sources, such as ColumnIO to Bigtable; inner, left, right, cross, and full outer joins; and equi semi-equi, non-equi and function based joins. Cross joins are only supported for tables small enough to fit in memory, and right outer joins are supported only with sort/merge joins. Non-equi correlated subqueries are currently not supported. We include distributed implementations for nested loop, sort/merge and hash joins.&lt;/p&gt;
&lt;/blockquote&gt;
&lt;/li&gt;
&lt;/ul&gt;&lt;/li&gt;
&lt;/ul&gt;&lt;p&gt;Read and download the “Tenzing A SQL Implementation on the MapReduce framework” after the break.&lt;/p&gt;

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&lt;/div&gt;

&lt;p class=&quot;cc&quot; style=&quot;font-style: italic; font-size: 0.9em;&quot;&gt;Original title and link: &lt;a href=&quot;http://nosql.mypopescu.com/post/17118426860&quot; rel=&quot;permalink&quot; style=&quot;color:red&quot; target=&quot;_blank&quot;&gt;Paper: Tenzing A SQL Implementation on the MapReduce Framework&lt;/a&gt; (&lt;a href=&quot;http://nosql.mypopescu.com&quot; style=&quot;display:none;visibility:hidden;&quot; target=&quot;_blank&quot;&gt;NoSQL database&lt;/a&gt;©myNoSQL)&lt;/p&gt;

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&lt;a href=&quot;http://feeds.feedburner.com/~ff/nosql?a=CDYBYMW-yvs:AYqnseMzVKM:I9og5sOYxJI&quot;&gt;&lt;img src=&quot;http://feeds.feedburner.com/~ff/nosql?d=I9og5sOYxJI&quot; border=&quot;0&quot;&gt;&lt;/img&gt;&lt;/a&gt; &lt;a href=&quot;http://feeds.feedburner.com/~ff/nosql?a=CDYBYMW-yvs:AYqnseMzVKM:yIl2AUoC8zA&quot;&gt;&lt;img src=&quot;http://feeds.feedburner.com/~ff/nosql?d=yIl2AUoC8zA&quot; border=&quot;0&quot;&gt;&lt;/img&gt;&lt;/a&gt; &lt;a href=&quot;http://feeds.feedburner.com/~ff/nosql?a=CDYBYMW-yvs:AYqnseMzVKM:F7zBnMyn0Lo&quot;&gt;&lt;img src=&quot;http://feeds.feedburner.com/~ff/nosql?i=CDYBYMW-yvs:AYqnseMzVKM:F7zBnMyn0Lo&quot; border=&quot;0&quot;&gt;&lt;/img&gt;&lt;/a&gt;
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        <item>
            <title>Paper: TiMR is a Time-oriented data processing system in MapReduce</title>
            <link>http://feedproxy.google.com/~r/nosql/~3/Byw76xk7Uy4/17117439677</link>
            <description>&lt;p&gt;From the “Temporal Analytics on Big Data for Web Advertising” paper:&lt;/p&gt;
&lt;blockquote&gt;
&lt;p&gt;TiMR is a framework that transparently combines a map-reduce (M-R) system with a temporal DSMS&lt;sup id=&quot;fnref:2-fn-DSMS&quot;&gt;&lt;a href=&quot;#fn:2-fn-DSMS&quot; rel=&quot;footnote&quot; target=&quot;_blank&quot;&gt;1&lt;/a&gt;&lt;/sup&gt;. Users express time-oriented analytics using a temporal (DSMS) query lan- guage such as StreamSQL or LINQ. Streaming queries are declarative and easy to write/debug, real-time-ready, and often several orders of magnitude smaller than equivalent custom code for time-oriented applications. TiMR allows the temporal queries to transparently scale on offline temporal data in a cluster by leveraging existing M-R infrastructure.&lt;/p&gt;
&lt;p&gt;Broadly speaking, TiMR’s architecture of compiling higher level queries into M-R stages is similar to that of Pig/SCOPE. However, TiMR specializes in time-oriented queries and data, with several new features such as: (1) the use of an unmodified DSMS as part of compilation, parallelization, and execution; and (2) the exploitation of new temporal parallelization opportunities unique to our setting. In addition, we leverage the temporal algebra underlying the DSMS in order to guarantee repeatability across runs in TiMR within M-R (when handling failures), as well as over live data.&lt;/p&gt;
&lt;/blockquote&gt;
&lt;p&gt;According to the paper, DSMS work well for real-time data, but are not massively scalable. On the other hand, Map-Reduce is extremely scalable, but computation is performed on offline data. TiMR proposes a solution that is getting closer to a real-time map-reduce. &lt;/p&gt;
&lt;p&gt;Read or download the paper after the break.&lt;/p&gt;

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&lt;/div&gt;
&lt;div class=&quot;footnote&quot;&gt;
&lt;hr&gt;&lt;ol&gt;&lt;li id=&quot;fn:2-fn-DSMS&quot;&gt;
&lt;p&gt;Data Stream Management System &lt;a href=&quot;#fnref:2-fn-DSMS&quot; rev=&quot;footnote&quot; title=&quot;Jump back to footnote 1 in the text&quot; target=&quot;_blank&quot;&gt;↩&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;/ol&gt;&lt;/div&gt;

&lt;p class=&quot;cc&quot; style=&quot;font-style: italic; font-size: 0.9em;&quot;&gt;Original title and link: &lt;a href=&quot;http://nosql.mypopescu.com/post/17117439677&quot; rel=&quot;permalink&quot; style=&quot;color:red&quot; target=&quot;_blank&quot;&gt;Paper: TiMR is a Time-oriented data processing system in MapReduce&lt;/a&gt; (&lt;a href=&quot;http://nosql.mypopescu.com&quot; style=&quot;display:none;visibility:hidden;&quot; target=&quot;_blank&quot;&gt;NoSQL database&lt;/a&gt;©myNoSQL)&lt;/p&gt;

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            <title>Hadoop and NoSQL in a Big Data Environment with Ron Bodkin</title>
            <link>http://feedproxy.google.com/~r/nosql/~3/1hsuLN_UhqM/17096471535</link>
            <description>&lt;p&gt;&lt;a href=&quot;http://www.infoq.com/interviews/11-nov-ron-bodkin&quot; rel=&quot;external nofollow&quot; target=&quot;_blank&quot;&gt;Ron Bodkin interviewed by Michael Floyd over InfoQ&lt;/a&gt; describes the Hadoop growing addiction:&lt;/p&gt;
&lt;blockquote&gt;
&lt;p&gt;People are using Hadoop for a variety of analytics. Many of the first uses of Hadoop are complementing traditional data warehouses I just mentioned, where the goal is to take some of the pressure of the data warehouse, start to be able to process less structured data more effectively and to be able to do transformations and build summaries and aggregates, but not have to have all that data loaded to the data warehouse. But then the next thing that happens is once people have started doing that level of processing they realize there is a power of being able to ask questions they never thought of before the data, they can store all the data in small samples and they can go back and have a powerful query engine, a cluster of commodity machines that lets them dig into that raw data and analyze it new ways ultimately leading to data science being able to do machine learning and being able to discover patterns in data and keep them improving and refining the data.&lt;/p&gt;
&lt;/blockquote&gt;
&lt;p&gt;The interview is only 16 minutes long and you have the full transcript.&lt;/p&gt;

&lt;p class=&quot;cc&quot; style=&quot;font-style: italic; font-size: 0.9em;&quot;&gt;Original title and link: &lt;a href=&quot;http://nosql.mypopescu.com/post/17096471535&quot; rel=&quot;permalink&quot; style=&quot;color:red&quot; target=&quot;_blank&quot;&gt;Hadoop and NoSQL in a Big Data Environment with Ron Bodkin&lt;/a&gt; (&lt;a href=&quot;http://nosql.mypopescu.com&quot; style=&quot;display:none;visibility:hidden;&quot; target=&quot;_blank&quot;&gt;NoSQL database&lt;/a&gt;©myNoSQL)&lt;/p&gt;

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            <title>Cassandra at SocialFlow with Drew Robb - Powered by NoSQL</title>
            <link>http://feedproxy.google.com/~r/nosql/~3/nBZaIwDsWOY/17085273933</link>
            <description>&lt;p&gt;To alternate a bit after yesterday’s educational &lt;a href=&quot;http://&quot; target=&quot;_blank&quot;&gt;CQL: SQL for Cassandra&lt;/a&gt; in the &lt;a href=&quot;http://nosql.mypopescu.com/tagged/Cassandra-NYC-2011&quot; target=&quot;_blank&quot;&gt;Cassandra NYC 2011 video series&lt;/a&gt;  from DataStax, today’s video is Drew Robb covering Cassandra usage at SocialFlow for capturing real-time data from Twitter and Bit.ly.&lt;/p&gt;
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&lt;/div&gt;
&lt;p&gt;For watching more videos from this event follow the &lt;a href=&quot;http://nosql.mypopescu.com/tagged/Cassandra-NYC-2011&quot; target=&quot;_blank&quot;&gt;Cassandra NYC 2011 tag&lt;/a&gt;. &lt;/p&gt;

&lt;p class=&quot;cc&quot; style=&quot;font-style: italic; font-size: 0.9em;&quot;&gt;Original title and link: &lt;a href=&quot;http://nosql.mypopescu.com/post/17085273933&quot; rel=&quot;permalink&quot; style=&quot;color:red&quot; target=&quot;_blank&quot;&gt;Cassandra at SocialFlow with Drew Robb - Powered by NoSQL&lt;/a&gt; (&lt;a href=&quot;http://nosql.mypopescu.com&quot; style=&quot;display:none;visibility:hidden;&quot; target=&quot;_blank&quot;&gt;NoSQL database&lt;/a&gt;©myNoSQL)&lt;/p&gt;

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&lt;/div&gt;&lt;img src=&quot;http://feeds.feedburner.com/~r/nosql/~4/nBZaIwDsWOY&quot; height=&quot;1&quot; width=&quot;1&quot;/&gt;</description>
        </item>
        <item>
            <title>XFS: the filesystem of the future?</title>
            <link>http://feedproxy.google.com/~r/nosql/~3/dBvL0CBqQu0/17036994009</link>
            <description>&lt;p&gt;Jonathan Corbet &lt;a href=&quot;http://lwn.net/Articles/476263/&quot; rel=&quot;external nofollow&quot; target=&quot;_blank&quot;&gt;summarizing&lt;/a&gt; a presentation about the present and future of XFS by Dave Chinner:&lt;/p&gt;
&lt;blockquote&gt;
&lt;p&gt;XFS is often seen as the filesystem for people with massive amounts of data. It serves that role well, Dave said, and it has traditionally performed well for a lot of workloads. Where things have tended to fall down is in the  writing of metadata; support for workloads that generate a lot of metadata writes has been a longstanding weak point for the filesystem. In short, metadata writes were slow, and did not really scale past even a single CPU.&lt;/p&gt;
&lt;/blockquote&gt;
&lt;p&gt;After the break the video of Dave Chinner’s presentation, “XFS: Recent and Future Adventures in Filesystem scalability”.&lt;/p&gt;

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&lt;div class=&quot;embedded smartembed youtube&quot;&gt;
&lt;iframe class=&quot;youtube-player&quot; type=&quot;text/html&quot; width=&quot;520&quot; height=&quot;390&quot; src=&quot;http://www.youtube.com/embed/FegjLbCnoBw&quot; frameborder=&quot;0&quot;&gt;&lt;/iframe&gt;
&lt;/div&gt;
&lt;p&gt;Even if it’s very long, make sure you check the &lt;a href=&quot;http://lwn.net/Articles/476263/&quot; rel=&quot;external nofollow&quot; target=&quot;_blank&quot;&gt;comment thread&lt;/a&gt;.&lt;/p&gt;
&lt;p class=&quot;x&quot;&gt;&lt;a href=&quot;http://twitter.com/spyced&quot; rel=&quot;external nofollow&quot; target=&quot;_blank&quot;&gt;Jonathan Ellis&lt;/a&gt; &lt;/p&gt;

&lt;p class=&quot;cc&quot; style=&quot;font-style: italic; font-size: 0.9em;&quot;&gt;Original title and link: &lt;a href=&quot;http://nosql.mypopescu.com/post/17036994009&quot; rel=&quot;permalink&quot; style=&quot;color:red&quot; target=&quot;_blank&quot;&gt;XFS: the filesystem of the future?&lt;/a&gt; (&lt;a href=&quot;http://nosql.mypopescu.com&quot; style=&quot;display:none;visibility:hidden;&quot; target=&quot;_blank&quot;&gt;NoSQL database&lt;/a&gt;©myNoSQL)&lt;/p&gt;&lt;div class=&quot;feedflare&quot;&gt;
&lt;a href=&quot;http://feeds.feedburner.com/~ff/nosql?a=dBvL0CBqQu0:0VJmJGwIBQw:I9og5sOYxJI&quot;&gt;&lt;img src=&quot;http://feeds.feedburner.com/~ff/nosql?d=I9og5sOYxJI&quot; border=&quot;0&quot;&gt;&lt;/img&gt;&lt;/a&gt; &lt;a href=&quot;http://feeds.feedburner.com/~ff/nosql?a=dBvL0CBqQu0:0VJmJGwIBQw:yIl2AUoC8zA&quot;&gt;&lt;img src=&quot;http://feeds.feedburner.com/~ff/nosql?d=yIl2AUoC8zA&quot; border=&quot;0&quot;&gt;&lt;/img&gt;&lt;/a&gt; &lt;a href=&quot;http://feeds.feedburner.com/~ff/nosql?a=dBvL0CBqQu0:0VJmJGwIBQw:F7zBnMyn0Lo&quot;&gt;&lt;img src=&quot;http://feeds.feedburner.com/~ff/nosql?i=dBvL0CBqQu0:0VJmJGwIBQw:F7zBnMyn0Lo&quot; border=&quot;0&quot;&gt;&lt;/img&gt;&lt;/a&gt;
&lt;/div&gt;&lt;img src=&quot;http://feeds.feedburner.com/~r/nosql/~4/dBvL0CBqQu0&quot; height=&quot;1&quot; width=&quot;1&quot;/&gt;</description>
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        <item>
            <title>CQL: SQL for Cassandra with Eric Evans - NoSQL videos</title>
            <link>http://feedproxy.google.com/~r/nosql/~3/pJlrQhE00R0/17024051739</link>
            <description>&lt;p&gt;The fine folks from DataStax have made available the presentations from their &lt;a href=&quot;http://www.datastax.com/events/cassandranyc2011&quot; rel=&quot;external nofollow&quot; target=&quot;_blank&quot;&gt;Cassandra NYC 2011 event&lt;/a&gt;. &lt;/p&gt;
&lt;p&gt;The first video to post here is Eric Evans’s presentation on Cassandra Query Language. &lt;/p&gt;

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&lt;/div&gt;
&lt;p&gt;&lt;/p&gt;&lt;div class=&quot;embedded smartembed slideshare&quot; style=&quot;width:520px&quot; id=&quot;__ss_10489017&quot;&gt;
&lt;iframe class=&quot;smartembed slideshare&quot; src=&quot;http://www.slideshare.net/slideshow/embed_code/10489017?rel=0&quot; width=&quot;520&quot; height=&quot;435&quot; frameborder=&quot;0&quot; marginwidth=&quot;0&quot; marginheight=&quot;0&quot; scrolling=&quot;no&quot;&gt;&lt;/iframe&gt;
&lt;div class=&quot;smartembed-ref-slideshare&quot;&gt;&lt;a href=&quot;http://www.slideshare.net/jericevans/cql-sql-in-cassandra&quot; rel=&quot;nofollow external&quot; target=&quot;_blank&quot;&gt;CQL: SQL for Cassandra&lt;/a&gt;&lt;/div&gt;
&lt;/div&gt;
&lt;p&gt;For watching more videos from this event follow the &lt;a href=&quot;http://nosql.mypopescu.com/tagged/Cassandra-NYC-2011&quot; target=&quot;_blank&quot;&gt;Cassandra NYC 2011 tag&lt;/a&gt;. &lt;/p&gt;

&lt;p class=&quot;cc&quot; style=&quot;font-style: italic; font-size: 0.9em;&quot;&gt;Original title and link: &lt;a href=&quot;http://nosql.mypopescu.com/post/17024051739&quot; rel=&quot;permalink&quot; style=&quot;color:red&quot; target=&quot;_blank&quot;&gt;CQL: SQL for Cassandra with Eric Evans - NoSQL videos&lt;/a&gt; (&lt;a href=&quot;http://nosql.mypopescu.com&quot; style=&quot;display:none;visibility:hidden;&quot; target=&quot;_blank&quot;&gt;NoSQL database&lt;/a&gt;©myNoSQL)&lt;/p&gt;

&lt;!--quid:78bb1dc8118feae6456dc65b5658d6b237f4e228--&gt;&lt;div class=&quot;feedflare&quot;&gt;
&lt;a href=&quot;http://feeds.feedburner.com/~ff/nosql?a=pJlrQhE00R0:V5UQfckzBTc:I9og5sOYxJI&quot;&gt;&lt;img src=&quot;http://feeds.feedburner.com/~ff/nosql?d=I9og5sOYxJI&quot; border=&quot;0&quot;&gt;&lt;/img&gt;&lt;/a&gt; &lt;a href=&quot;http://feeds.feedburner.com/~ff/nosql?a=pJlrQhE00R0:V5UQfckzBTc:yIl2AUoC8zA&quot;&gt;&lt;img src=&quot;http://feeds.feedburner.com/~ff/nosql?d=yIl2AUoC8zA&quot; border=&quot;0&quot;&gt;&lt;/img&gt;&lt;/a&gt; &lt;a href=&quot;http://feeds.feedburner.com/~ff/nosql?a=pJlrQhE00R0:V5UQfckzBTc:F7zBnMyn0Lo&quot;&gt;&lt;img src=&quot;http://feeds.feedburner.com/~ff/nosql?i=pJlrQhE00R0:V5UQfckzBTc:F7zBnMyn0Lo&quot; border=&quot;0&quot;&gt;&lt;/img&gt;&lt;/a&gt;
&lt;/div&gt;&lt;img src=&quot;http://feeds.feedburner.com/~r/nosql/~4/pJlrQhE00R0&quot; height=&quot;1&quot; width=&quot;1&quot;/&gt;</description>
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        <item>
            <title>All about Security - SQL Injection redux</title>
            <link>http://tkyte.blogspot.com/2012/02/all-about-security-sql-injection-redux.html</link>
            <description></description>
        </item>
        <item>
            <title>A bit of history around Hadoop Companies</title>
            <link>http://feedproxy.google.com/~r/nosql/~3/58nccRkfpes/16972932787</link>
            <description>&lt;a href=&quot;http://www.businessinsider.com/this-former-yahoo-ers-startup-is-so-hot-even-the-cia-invested-in-it-2012-1&quot;&gt;A bit of history around Hadoop Companies&lt;/a&gt;: &lt;p&gt;Imagine this story 5 years from now… with all the scars from the &lt;del&gt;battle&lt;/del&gt; competition with the other companies trying to monetize Hadoop and … the millions in the bank.&lt;/p&gt;

&lt;p class=&quot;cc&quot; style=&quot;font-style: italic; font-size: 0.9em;&quot;&gt;Original title and link: &lt;a href=&quot;http://nosql.mypopescu.com/post/16972932787&quot; rel=&quot;permalink&quot; style=&quot;color:red&quot; target=&quot;_blank&quot;&gt;A bit of history around Hadoop Companies&lt;/a&gt; (&lt;a href=&quot;http://nosql.mypopescu.com&quot; style=&quot;display:none;visibility:hidden;&quot; target=&quot;_blank&quot;&gt;NoSQL database&lt;/a&gt;©myNoSQL)&lt;/p&gt;

&lt;!--quid:912c8eceed6213262823899af93481558a9eccba--&gt;&lt;div class=&quot;feedflare&quot;&gt;
&lt;a href=&quot;http://feeds.feedburner.com/~ff/nosql?a=58nccRkfpes:I4dXaEKuQBo:I9og5sOYxJI&quot;&gt;&lt;img src=&quot;http://feeds.feedburner.com/~ff/nosql?d=I9og5sOYxJI&quot; border=&quot;0&quot;&gt;&lt;/img&gt;&lt;/a&gt; &lt;a href=&quot;http://feeds.feedburner.com/~ff/nosql?a=58nccRkfpes:I4dXaEKuQBo:yIl2AUoC8zA&quot;&gt;&lt;img src=&quot;http://feeds.feedburner.com/~ff/nosql?d=yIl2AUoC8zA&quot; border=&quot;0&quot;&gt;&lt;/img&gt;&lt;/a&gt; &lt;a href=&quot;http://feeds.feedburner.com/~ff/nosql?a=58nccRkfpes:I4dXaEKuQBo:F7zBnMyn0Lo&quot;&gt;&lt;img src=&quot;http://feeds.feedburner.com/~ff/nosql?i=58nccRkfpes:I4dXaEKuQBo:F7zBnMyn0Lo&quot; border=&quot;0&quot;&gt;&lt;/img&gt;&lt;/a&gt;
&lt;/div&gt;&lt;img src=&quot;http://feeds.feedburner.com/~r/nosql/~4/58nccRkfpes&quot; height=&quot;1&quot; width=&quot;1&quot;/&gt;</description>
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        <item>
            <title>Designing HBase Schema to Best Support Specific Queries</title>
            <link>http://feedproxy.google.com/~r/nosql/~3/SmNB-suWh1I/16969934679</link>
            <description>&lt;a href=&quot;http://stackoverflow.com/questions/8983503/designing-hbase-schema-to-best-support-specific-queries&quot;&gt;Designing HBase Schema to Best Support Specific Queries&lt;/a&gt;: &lt;p&gt;Real scenario, very good analysis of different data access requirements, and three possible solutions. What’s your pick?&lt;/p&gt;
&lt;blockquote&gt;
&lt;p&gt;The problem is fairly simple - I am storing “notifications” in hbase, each of which has a status (“new”, “seen”, and “read”). Here are the API’s I need to provide:&lt;/p&gt;
&lt;ul&gt;&lt;li&gt;Get all notifications for a user&lt;/li&gt;
&lt;li&gt;Get all “new” notifications for a user&lt;/li&gt;
&lt;li&gt;Get the count of all “new” notifications for a user&lt;/li&gt;
&lt;li&gt;Update status for a notification&lt;/li&gt;
&lt;li&gt;Update status for all of a user’s notifications&lt;/li&gt;
&lt;li&gt;Get all “new” notifications accross the database&lt;/li&gt;
&lt;li&gt;Notifications should be scannable in reverse chronological order and allow pagination.&lt;/li&gt;
&lt;/ul&gt;&lt;/blockquote&gt;

&lt;p class=&quot;cc&quot; style=&quot;font-style: italic; font-size: 0.9em;&quot;&gt;Original title and link: &lt;a href=&quot;http://nosql.mypopescu.com/post/16969934679&quot; rel=&quot;permalink&quot; style=&quot;color:red&quot; target=&quot;_blank&quot;&gt;Designing HBase Schema to Best Support Specific Queries&lt;/a&gt; (&lt;a href=&quot;http://nosql.mypopescu.com&quot; style=&quot;display:none;visibility:hidden;&quot; target=&quot;_blank&quot;&gt;NoSQL database&lt;/a&gt;©myNoSQL)&lt;/p&gt;

&lt;!--quid:69de95d4ddaae99618573e6b6fa2aefd3290c964--&gt;&lt;div class=&quot;feedflare&quot;&gt;
&lt;a href=&quot;http://feeds.feedburner.com/~ff/nosql?a=SmNB-suWh1I:bq3c3L6ctC4:I9og5sOYxJI&quot;&gt;&lt;img src=&quot;http://feeds.feedburner.com/~ff/nosql?d=I9og5sOYxJI&quot; border=&quot;0&quot;&gt;&lt;/img&gt;&lt;/a&gt; &lt;a href=&quot;http://feeds.feedburner.com/~ff/nosql?a=SmNB-suWh1I:bq3c3L6ctC4:yIl2AUoC8zA&quot;&gt;&lt;img src=&quot;http://feeds.feedburner.com/~ff/nosql?d=yIl2AUoC8zA&quot; border=&quot;0&quot;&gt;&lt;/img&gt;&lt;/a&gt; &lt;a href=&quot;http://feeds.feedburner.com/~ff/nosql?a=SmNB-suWh1I:bq3c3L6ctC4:F7zBnMyn0Lo&quot;&gt;&lt;img src=&quot;http://feeds.feedburner.com/~ff/nosql?i=SmNB-suWh1I:bq3c3L6ctC4:F7zBnMyn0Lo&quot; border=&quot;0&quot;&gt;&lt;/img&gt;&lt;/a&gt;
&lt;/div&gt;&lt;img src=&quot;http://feeds.feedburner.com/~r/nosql/~4/SmNB-suWh1I&quot; height=&quot;1&quot; width=&quot;1&quot;/&gt;</description>
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        <item>
            <title>Modeling A/B Tests With Cassandra</title>
            <link>http://feedproxy.google.com/~r/nosql/~3/1shdWCItRaY/16969720380</link>
            <description>&lt;a href=&quot;http://www.datastax.com/dev/blog/ab-testing-with-apache-cassandra&quot;&gt;Modeling A/B Tests With Cassandra&lt;/a&gt;: &lt;p&gt;A Cassandra data modeling session around a real-life scenario: tracking data for A/B tests: &lt;/p&gt;
&lt;blockquote&gt;
&lt;p&gt;With most things in life data modeling in Cassandra can be compared to learning to
ride a bike. It can be scary, you might fall off, but in the end once you learn a
few fundamental concepts everything will be easier to do. The goal of this article
is to get you comfortable with a basic data modeling scenario that you will likely
see in the real world.&lt;/p&gt;
&lt;/blockquote&gt;

&lt;p class=&quot;cc&quot; style=&quot;font-style: italic; font-size: 0.9em;&quot;&gt;Original title and link: &lt;a href=&quot;http://nosql.mypopescu.com/post/16969720380&quot; rel=&quot;permalink&quot; style=&quot;color:red&quot; target=&quot;_blank&quot;&gt;Modeling A/B Tests With Cassandra&lt;/a&gt; (&lt;a href=&quot;http://nosql.mypopescu.com&quot; style=&quot;display:none;visibility:hidden;&quot; target=&quot;_blank&quot;&gt;NoSQL database&lt;/a&gt;©myNoSQL)&lt;/p&gt;

&lt;!--quid:8ba5b08d048548afb37fa14ecdf02c3125d55268--&gt;&lt;div class=&quot;feedflare&quot;&gt;
&lt;a href=&quot;http://feeds.feedburner.com/~ff/nosql?a=1shdWCItRaY:kxEqtO7M5Q8:I9og5sOYxJI&quot;&gt;&lt;img src=&quot;http://feeds.feedburner.com/~ff/nosql?d=I9og5sOYxJI&quot; border=&quot;0&quot;&gt;&lt;/img&gt;&lt;/a&gt; &lt;a href=&quot;http://feeds.feedburner.com/~ff/nosql?a=1shdWCItRaY:kxEqtO7M5Q8:yIl2AUoC8zA&quot;&gt;&lt;img src=&quot;http://feeds.feedburner.com/~ff/nosql?d=yIl2AUoC8zA&quot; border=&quot;0&quot;&gt;&lt;/img&gt;&lt;/a&gt; &lt;a href=&quot;http://feeds.feedburner.com/~ff/nosql?a=1shdWCItRaY:kxEqtO7M5Q8:F7zBnMyn0Lo&quot;&gt;&lt;img src=&quot;http://feeds.feedburner.com/~ff/nosql?i=1shdWCItRaY:kxEqtO7M5Q8:F7zBnMyn0Lo&quot; border=&quot;0&quot;&gt;&lt;/img&gt;&lt;/a&gt;
&lt;/div&gt;&lt;img src=&quot;http://feeds.feedburner.com/~r/nosql/~4/1shdWCItRaY&quot; height=&quot;1&quot; width=&quot;1&quot;/&gt;</description>
        </item>
        <item>
            <title>RMOUG</title>
            <link>http://feedproxy.google.com/~r/OracleScratchpad/~3/Xj6DfJinPio/</link>
            <description>Just a quick reminder that the Rocky Mountain Oracle User Group Training days are just eleven days away. It&amp;#8217;s one of the best Oracle events I&amp;#8217;ve attended, and I&amp;#8217;ll be there again this year. There are plenty of good speakers and interesting presentations on a wide range of topics &amp;#8211; and if you&amp;#8217;re wandering around [...]&lt;img alt=&quot;&quot; border=&quot;0&quot; src=&quot;http://stats.wordpress.com/b.gif?host=jonathanlewis.wordpress.com&amp;amp;blog=491988&amp;amp;post=8373&amp;amp;subd=jonathanlewis&amp;amp;ref=&amp;amp;feed=1&quot; width=&quot;1&quot; height=&quot;1&quot; /&gt;</description>
        </item>
        <item>
            <title>connection rate limiter feature</title>
            <link>http://yumianfeilong.com/html/2012/02/03/545.html</link>
            <description>11g中Listener可以限制每秒能够成功建立的数据库连接数目，通过在listener.ora中设置如下2个参数，然后reload listener。可以用来防止Logon storm。
使用该参数需要注意参数INBOUND_CONNECT_TIMEOUT的设置，以避免发生过多的“ORA-12170: TNS:Connect timeout occurred”错误.

Connection Rate Limiter Parameters

The connection rate limiter  feature in the Oracle Net Listener enables a DBA to limit the number of  new connections handled by the listener. When this feature is enabled,  Oracle Net Listener imposes a user-specified maximum limit on the number  of new connections [...]</description>
        </item>
        <item>
            <title>What's the big deal about Big Data?</title>
            <link>http://feedproxy.google.com/~r/nosql/~3/v4x44Nqhxks/16967616680</link>
            <description>&lt;a href=&quot;http://informationarbitrage.com/post/16121669634/whats-the-big-deal-about-big-data&quot;&gt;What's the big deal about Big Data?&lt;/a&gt;: &lt;p&gt;Roger Ehrenberg (Founder and Managing Partner of IA Ventures):&lt;/p&gt;
&lt;blockquote&gt;
&lt;p&gt;Every so often a term becomes so beloved by media that it moves from “instructive” to “hackneyed” to “worthless,” and Big Data is one of those terms. […] But since this time the term Big Data has become diluted. Very diluted. So much so that it is almost totally meaningless. Does Big Data mean new kinds of databases? Sure. Does it mean innovative ways to visualize data to create actionable intelligence? Absolutely. Can it be applied to the health care sector? Without question. Has it contributed to the rise of the Data Scientist? Mos def.&lt;/p&gt;
&lt;/blockquote&gt;
&lt;p&gt;And I thought &lt;a href=&quot;http://nosql.mypopescu.com/post/16576613628/analysts-predictions-for-hadoop-market&quot; target=&quot;_blank&quot;&gt;I was off&lt;/a&gt;.&lt;/p&gt;

&lt;p class=&quot;cc&quot; style=&quot;font-style: italic; font-size: 0.9em;&quot;&gt;Original title and link: &lt;a href=&quot;http://nosql.mypopescu.com/post/16967616680&quot; rel=&quot;permalink&quot; style=&quot;color:red&quot; target=&quot;_blank&quot;&gt;What’s the big deal about Big Data?&lt;/a&gt; (&lt;a href=&quot;http://nosql.mypopescu.com&quot; style=&quot;display:none;visibility:hidden;&quot; target=&quot;_blank&quot;&gt;NoSQL database&lt;/a&gt;©myNoSQL)&lt;/p&gt;

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&lt;a href=&quot;http://feeds.feedburner.com/~ff/nosql?a=v4x44Nqhxks:bJJCEazeD6Y:I9og5sOYxJI&quot;&gt;&lt;img src=&quot;http://feeds.feedburner.com/~ff/nosql?d=I9og5sOYxJI&quot; border=&quot;0&quot;&gt;&lt;/img&gt;&lt;/a&gt; &lt;a href=&quot;http://feeds.feedburner.com/~ff/nosql?a=v4x44Nqhxks:bJJCEazeD6Y:yIl2AUoC8zA&quot;&gt;&lt;img src=&quot;http://feeds.feedburner.com/~ff/nosql?d=yIl2AUoC8zA&quot; border=&quot;0&quot;&gt;&lt;/img&gt;&lt;/a&gt; &lt;a href=&quot;http://feeds.feedburner.com/~ff/nosql?a=v4x44Nqhxks:bJJCEazeD6Y:F7zBnMyn0Lo&quot;&gt;&lt;img src=&quot;http://feeds.feedburner.com/~ff/nosql?i=v4x44Nqhxks:bJJCEazeD6Y:F7zBnMyn0Lo&quot; border=&quot;0&quot;&gt;&lt;/img&gt;&lt;/a&gt;
&lt;/div&gt;&lt;img src=&quot;http://feeds.feedburner.com/~r/nosql/~4/v4x44Nqhxks&quot; height=&quot;1&quot; width=&quot;1&quot;/&gt;</description>
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        <item>
            <title>The time for NoSQL is now</title>
            <link>http://feedproxy.google.com/~r/nosql/~3/eym4Iz4lwIY/16967451179</link>
            <description>&lt;a href=&quot;http://osintegrators.com/node/76&quot;&gt;The time for NoSQL is now&lt;/a&gt;: &lt;p&gt;Andrew C. Oliver:&lt;/p&gt;
&lt;blockquote&gt;
&lt;p&gt;The transition to NoSQL databases will take time. We still don’t have TOAD, Crystal Reports, query language standardization and other essential tools needed for mass adoption. There will be missteps (i.e. I may need a different type of database for reporting than for my operational system), but I truly think this is one technology that isn’t just marketing.&lt;/p&gt;
&lt;/blockquote&gt;
&lt;p&gt;This coming from someone that was happy to discover back in 1998 all the knobs in Oracle.&lt;/p&gt;

&lt;p class=&quot;cc&quot; style=&quot;font-style: italic; font-size: 0.9em;&quot;&gt;Original title and link: &lt;a href=&quot;http://nosql.mypopescu.com/post/16967451179&quot; rel=&quot;permalink&quot; style=&quot;color:red&quot; target=&quot;_blank&quot;&gt;The time for NoSQL is now&lt;/a&gt; (&lt;a href=&quot;http://nosql.mypopescu.com&quot; style=&quot;display:none;visibility:hidden;&quot; target=&quot;_blank&quot;&gt;NoSQL database&lt;/a&gt;©myNoSQL)&lt;/p&gt;

&lt;!--quid:6aa983232188630b18986e363798088d94375413--&gt;&lt;div class=&quot;feedflare&quot;&gt;
&lt;a href=&quot;http://feeds.feedburner.com/~ff/nosql?a=eym4Iz4lwIY:i7a6ytrdHG0:I9og5sOYxJI&quot;&gt;&lt;img src=&quot;http://feeds.feedburner.com/~ff/nosql?d=I9og5sOYxJI&quot; border=&quot;0&quot;&gt;&lt;/img&gt;&lt;/a&gt; &lt;a href=&quot;http://feeds.feedburner.com/~ff/nosql?a=eym4Iz4lwIY:i7a6ytrdHG0:yIl2AUoC8zA&quot;&gt;&lt;img src=&quot;http://feeds.feedburner.com/~ff/nosql?d=yIl2AUoC8zA&quot; border=&quot;0&quot;&gt;&lt;/img&gt;&lt;/a&gt; &lt;a href=&quot;http://feeds.feedburner.com/~ff/nosql?a=eym4Iz4lwIY:i7a6ytrdHG0:F7zBnMyn0Lo&quot;&gt;&lt;img src=&quot;http://feeds.feedburner.com/~ff/nosql?i=eym4Iz4lwIY:i7a6ytrdHG0:F7zBnMyn0Lo&quot; border=&quot;0&quot;&gt;&lt;/img&gt;&lt;/a&gt;
&lt;/div&gt;&lt;img src=&quot;http://feeds.feedburner.com/~r/nosql/~4/eym4Iz4lwIY&quot; height=&quot;1&quot; width=&quot;1&quot;/&gt;</description>
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            <title>Log Buffer #257, A Carnival of the Vanities for DBAs</title>
            <link>http://feedproxy.google.com/~r/PythianGroupBlog/~3/7aLgWMPwYkA/</link>
            <description>With new year many new projects, new technologies, new frameworks and new ideas are springing up at the speed of light and bloggers in the database arena are keeping up with this pace and this Log Buffer Edition is also living up to that pace and covers some of those posts in Log Buffer #257. [...]&lt;img src=&quot;http://feeds.feedburner.com/~r/PythianGroupBlog/~4/7aLgWMPwYkA&quot; height=&quot;1&quot; width=&quot;1&quot;/&gt;</description>
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        <item>
            <title>What does DynamoDB mean for the enteprise world?</title>
            <link>http://feedproxy.google.com/~r/nosql/~3/QSIO784vUOA/16944216575</link>
            <description>&lt;a href=&quot;http://www.acunu.com/blogs/tim-moreton/welcome-party-dynamodb/&quot;&gt;What does DynamoDB mean for the enteprise world?&lt;/a&gt;: &lt;p&gt;Tim Moreton&lt;sup id=&quot;fnref:2-fn-Moreton&quot;&gt;&lt;a href=&quot;#fn:2-fn-Moreton&quot; rel=&quot;footnote&quot; target=&quot;_blank&quot;&gt;1&lt;/a&gt;&lt;/sup&gt;:&lt;/p&gt;
&lt;blockquote&gt;
&lt;p&gt;I expect not much in the short term, until some key issues are solved. First, the sources and consumers of data are still on-site. These guys are tackling a specific technical limitation, not necessarily looking to re-architect their wider systems, which are often complex and inter-dependent. Second, security and regulatory concerns may need addressing. Third, the TCO needs to stack up. A quick and dirty back of the envelope calculation suggests that although it’s free to get started with DynamoDB, for the sort of deployment sizes we’re seeing, DynamoDB works out considerably more expensive than alternatives like Acunu deployed on hardware (even after accounting for typical full costing for outsourced data centers).&lt;/p&gt;
&lt;/blockquote&gt;
&lt;p&gt;Keeping my eyes on all things NoSQL for more than 2 years, I’d say that NoSQL databases in general do not mean much for the enterprise world&lt;sup id=&quot;fnref:2-fn-world&quot;&gt;&lt;a href=&quot;#fn:2-fn-world&quot; rel=&quot;footnote&quot; target=&quot;_blank&quot;&gt;2&lt;/a&gt;&lt;/sup&gt;. &lt;em&gt;Yet&lt;/em&gt;.&lt;/p&gt;
&lt;div class=&quot;footnote&quot;&gt;
&lt;hr&gt;&lt;ol&gt;&lt;li id=&quot;fn:2-fn-Moreton&quot;&gt;
&lt;p&gt;Tim Moreton: CEO Acunu &lt;a href=&quot;#fnref:2-fn-Moreton&quot; rev=&quot;footnote&quot; title=&quot;Jump back to footnote 1 in the text&quot; target=&quot;_blank&quot;&gt;↩&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li id=&quot;fn:2-fn-world&quot;&gt;
&lt;p&gt;&lt;a href=&quot;http://nosql.mypopescu.com/post/16943400029/datastaxs-ceo-thoughts-on-the-nosql-market-and&quot; target=&quot;_blank&quot;&gt;DataStax’s CEO, Billy Bosworth seems to agree&lt;/a&gt;. &lt;a href=&quot;#fnref:2-fn-world&quot; rev=&quot;footnote&quot; title=&quot;Jump back to footnote 2 in the text&quot; target=&quot;_blank&quot;&gt;↩&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;/ol&gt;&lt;/div&gt;

&lt;p class=&quot;cc&quot; style=&quot;font-style: italic; font-size: 0.9em;&quot;&gt;Original title and link: &lt;a href=&quot;http://nosql.mypopescu.com/post/16944216575&quot; rel=&quot;permalink&quot; style=&quot;color:red&quot; target=&quot;_blank&quot;&gt;What does DynamoDB mean for the enteprise world?&lt;/a&gt; (&lt;a href=&quot;http://nosql.mypopescu.com&quot; style=&quot;display:none;visibility:hidden;&quot; target=&quot;_blank&quot;&gt;NoSQL database&lt;/a&gt;©myNoSQL)&lt;/p&gt;&lt;div class=&quot;feedflare&quot;&gt;
&lt;a href=&quot;http://feeds.feedburner.com/~ff/nosql?a=QSIO784vUOA:xLbkaDqhnTc:I9og5sOYxJI&quot;&gt;&lt;img src=&quot;http://feeds.feedburner.com/~ff/nosql?d=I9og5sOYxJI&quot; border=&quot;0&quot;&gt;&lt;/img&gt;&lt;/a&gt; &lt;a href=&quot;http://feeds.feedburner.com/~ff/nosql?a=QSIO784vUOA:xLbkaDqhnTc:yIl2AUoC8zA&quot;&gt;&lt;img src=&quot;http://feeds.feedburner.com/~ff/nosql?d=yIl2AUoC8zA&quot; border=&quot;0&quot;&gt;&lt;/img&gt;&lt;/a&gt; &lt;a href=&quot;http://feeds.feedburner.com/~ff/nosql?a=QSIO784vUOA:xLbkaDqhnTc:F7zBnMyn0Lo&quot;&gt;&lt;img src=&quot;http://feeds.feedburner.com/~ff/nosql?i=QSIO784vUOA:xLbkaDqhnTc:F7zBnMyn0Lo&quot; border=&quot;0&quot;&gt;&lt;/img&gt;&lt;/a&gt;
&lt;/div&gt;&lt;img src=&quot;http://feeds.feedburner.com/~r/nosql/~4/QSIO784vUOA&quot; height=&quot;1&quot; width=&quot;1&quot;/&gt;</description>
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        <item>
            <title>DataStax's CEO thoughts on the NoSQL Market and Competition</title>
            <link>http://feedproxy.google.com/~r/nosql/~3/3nNNNl4cvjM/16943400029</link>
            <description>&lt;a href=&quot;http://www.datastax.com/2012/01/my-thoughts-on-amazons-dynamodb&quot;&gt;DataStax's CEO thoughts on the NoSQL Market and Competition&lt;/a&gt;: &lt;p&gt;Billy Bosworth&lt;sup id=&quot;fnref:2-fn-Bosworth&quot;&gt;&lt;a href=&quot;#fn:2-fn-Bosworth&quot; rel=&quot;footnote&quot; target=&quot;_blank&quot;&gt;1&lt;/a&gt;&lt;/sup&gt;:&lt;/p&gt;
&lt;blockquote&gt;
&lt;p&gt;Personally, I have never believed that other post-relational (aka NoSQL/Hadoop) database companies were our primary competition.  The brute fact of the matter is that if you put us all together, we are still not statistically relevant compared to the overall DBMS market.&lt;/p&gt;
&lt;p&gt;I had only one real personal fear coming into this market: That I would sink a big portion of my life into something that would never take hold in the mainstream.  I suspect that would be a truly awful ending for all of us in this space. But thanks to companies like Amazon and Oracle, that feels highly unlikely now, and that is a great thing.&lt;/p&gt;
&lt;/blockquote&gt;
&lt;p&gt;Just to play the devil advocate for a second: Oracle won’t lose much in the NoSQL market if things don’t work out well and &lt;a href=&quot;http://nosql.mypopescu.com/post/16942975288/get-them-by-the-data&quot; target=&quot;_blank&quot;&gt;Amazon’s DynamoDB is part of a larger plan&lt;/a&gt;. But for all the NoSQL database companies it is an all-or-nothing game&lt;sup id=&quot;fnref:2-fn-game&quot;&gt;&lt;a href=&quot;#fn:2-fn-game&quot; rel=&quot;footnote&quot; target=&quot;_blank&quot;&gt;2&lt;/a&gt;&lt;/sup&gt;.&lt;/p&gt;
&lt;div class=&quot;footnote&quot;&gt;
&lt;hr&gt;&lt;ol&gt;&lt;li id=&quot;fn:2-fn-Bosworth&quot;&gt;
&lt;p&gt;Billy Bosworth: CEO DataStax &lt;a href=&quot;#fnref:2-fn-Bosworth&quot; rev=&quot;footnote&quot; title=&quot;Jump back to footnote 1 in the text&quot; target=&quot;_blank&quot;&gt;↩&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;li id=&quot;fn:2-fn-game&quot;&gt;
&lt;p&gt;An all-or-nothing game is not the same with &lt;a href=&quot;http://nosql.mypopescu.com/post/16164435190/the-state-of-nosql-in-2012&quot; target=&quot;_blank&quot;&gt;a winner-takes-all game&lt;/a&gt;  &lt;a href=&quot;#fnref:2-fn-game&quot; rev=&quot;footnote&quot; title=&quot;Jump back to footnote 2 in the text&quot; target=&quot;_blank&quot;&gt;↩&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;/ol&gt;&lt;/div&gt;

&lt;p class=&quot;cc&quot; style=&quot;font-style: italic; font-size: 0.9em;&quot;&gt;Original title and link: &lt;a href=&quot;http://nosql.mypopescu.com/post/16943400029&quot; rel=&quot;permalink&quot; style=&quot;color:red&quot; target=&quot;_blank&quot;&gt;DataStax’s CEO thoughts on the NoSQL Market and Competition&lt;/a&gt; (&lt;a href=&quot;http://nosql.mypopescu.com&quot; style=&quot;display:none;visibility:hidden;&quot; target=&quot;_blank&quot;&gt;NoSQL database&lt;/a&gt;©myNoSQL)&lt;/p&gt;&lt;div class=&quot;feedflare&quot;&gt;
&lt;a href=&quot;http://feeds.feedburner.com/~ff/nosql?a=3nNNNl4cvjM:RXPCnW5qH-g:I9og5sOYxJI&quot;&gt;&lt;img src=&quot;http://feeds.feedburner.com/~ff/nosql?d=I9og5sOYxJI&quot; border=&quot;0&quot;&gt;&lt;/img&gt;&lt;/a&gt; &lt;a href=&quot;http://feeds.feedburner.com/~ff/nosql?a=3nNNNl4cvjM:RXPCnW5qH-g:yIl2AUoC8zA&quot;&gt;&lt;img src=&quot;http://feeds.feedburner.com/~ff/nosql?d=yIl2AUoC8zA&quot; border=&quot;0&quot;&gt;&lt;/img&gt;&lt;/a&gt; &lt;a href=&quot;http://feeds.feedburner.com/~ff/nosql?a=3nNNNl4cvjM:RXPCnW5qH-g:F7zBnMyn0Lo&quot;&gt;&lt;img src=&quot;http://feeds.feedburner.com/~ff/nosql?i=3nNNNl4cvjM:RXPCnW5qH-g:F7zBnMyn0Lo&quot; border=&quot;0&quot;&gt;&lt;/img&gt;&lt;/a&gt;
&lt;/div&gt;&lt;img src=&quot;http://feeds.feedburner.com/~r/nosql/~4/3nNNNl4cvjM&quot; height=&quot;1&quot; width=&quot;1&quot;/&gt;</description>
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        <item>
            <title>Get them by the data</title>
            <link>http://feedproxy.google.com/~r/nosql/~3/BCp2Ax-LIUc/16942975288</link>
            <description>&lt;a href=&quot;http://www.theregister.co.uk/2012/01/25/amazon_cloud_enterprise_storage/&quot;&gt;Get them by the data&lt;/a&gt;: &lt;p&gt;Gavin Clarke and Chris Mellor about AWS Storage Gateway:&lt;/p&gt;
&lt;blockquote&gt;
&lt;p&gt;Once you’ve got them by the data, of course, their hearts and minds will follow, and Amazon’s using the AWS Storage Gateway beta as a sampler for the rest of its compute cloud.&lt;/p&gt;
&lt;/blockquote&gt;
&lt;p&gt;The Storage Gateway is another piece, &lt;a href=&quot;http://nosql.mypopescu.com/post/16517845270/using-amazon-elastic-mapreduce-with-dynamodb-nosql&quot; target=&quot;_blank&quot;&gt;together with S3, DynamoDB, SimpleDB, Elastic MapReduce&lt;/a&gt;, in Amazon’s great strategical puzzle of a complete polyglot platform. &lt;/p&gt;

&lt;p class=&quot;cc&quot; style=&quot;font-style: italic; font-size: 0.9em;&quot;&gt;Original title and link: &lt;a href=&quot;http://nosql.mypopescu.com/post/16942975288&quot; rel=&quot;permalink&quot; style=&quot;color:red&quot; target=&quot;_blank&quot;&gt;Get them by the data&lt;/a&gt; (&lt;a href=&quot;http://nosql.mypopescu.com&quot; style=&quot;display:none;visibility:hidden;&quot; target=&quot;_blank&quot;&gt;NoSQL database&lt;/a&gt;©myNoSQL)&lt;/p&gt;&lt;div class=&quot;feedflare&quot;&gt;
&lt;a href=&quot;http://feeds.feedburner.com/~ff/nosql?a=BCp2Ax-LIUc:oTRqxyTqcGc:I9og5sOYxJI&quot;&gt;&lt;img src=&quot;http://feeds.feedburner.com/~ff/nosql?d=I9og5sOYxJI&quot; border=&quot;0&quot;&gt;&lt;/img&gt;&lt;/a&gt; &lt;a href=&quot;http://feeds.feedburner.com/~ff/nosql?a=BCp2Ax-LIUc:oTRqxyTqcGc:yIl2AUoC8zA&quot;&gt;&lt;img src=&quot;http://feeds.feedburner.com/~ff/nosql?d=yIl2AUoC8zA&quot; border=&quot;0&quot;&gt;&lt;/img&gt;&lt;/a&gt; &lt;a href=&quot;http://feeds.feedburner.com/~ff/nosql?a=BCp2Ax-LIUc:oTRqxyTqcGc:F7zBnMyn0Lo&quot;&gt;&lt;img src=&quot;http://feeds.feedburner.com/~ff/nosql?i=BCp2Ax-LIUc:oTRqxyTqcGc:F7zBnMyn0Lo&quot; border=&quot;0&quot;&gt;&lt;/img&gt;&lt;/a&gt;
&lt;/div&gt;&lt;img src=&quot;http://feeds.feedburner.com/~r/nosql/~4/BCp2Ax-LIUc&quot; height=&quot;1&quot; width=&quot;1&quot;/&gt;</description>
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        <item>
            <title>MongoDB Tips and Tricks: You Only Wish MongoDB Wasn't Relational</title>
            <link>http://feedproxy.google.com/~r/nosql/~3/-2HEwOX6eFI/16942611058</link>
            <description>&lt;a href=&quot;http://seanhess.github.com/2012/02/01/mongodb_relational.html&quot;&gt;MongoDB Tips and Tricks: You Only Wish MongoDB Wasn't Relational&lt;/a&gt;: &lt;blockquote&gt;
&lt;p&gt;So when you read that MongoDB is a document store, you might get the wonderful idea to store your relationships in a big document. Since mongo lets you reach into objects, you can query against them, right?&lt;/p&gt;
&lt;p&gt;Several times, we’ve excitedly begun a schema this way, only to be forced to pull the nested documents out into their own collection. I’ll show you why, and why it’s not a big deal.&lt;/p&gt;
&lt;/blockquote&gt;
&lt;p&gt;I’m no MongoDB expert, but the suggested solution requires: 1) two network roundtrips; 2) an additional index. &lt;/p&gt;
&lt;p&gt;The way I’d look at this problem is:&lt;/p&gt;
&lt;ol&gt;&lt;li&gt;what is the most frequent operation: reading a blog post and all its comments or displaying all the comments of a specific user?&lt;/li&gt;
&lt;li&gt;assuming the answer is reading a blog post and all its comments, I’d ask myself how frequent is the other operation. &lt;ol&gt;&lt;li&gt;if it’s something that I need to perform just once in a while, I’d  consider using MongoDB MapReduce, even if that would be suboptimal. &lt;/li&gt;
&lt;li&gt;if it’s a frequent operation, then I’d consider adding a separate collection for comments. Even better, I’d add a per user collection for comments.&lt;/li&gt;
&lt;/ol&gt;&lt;/li&gt;
&lt;/ol&gt;&lt;p class=&quot;cc&quot; style=&quot;font-style: italic; font-size: 0.9em;&quot;&gt;Original title and link: &lt;a href=&quot;http://nosql.mypopescu.com/post/16942611058&quot; rel=&quot;permalink&quot; style=&quot;color:red&quot; target=&quot;_blank&quot;&gt;MongoDB Tips and Tricks: You Only Wish MongoDB Wasn’t Relational&lt;/a&gt; (&lt;a href=&quot;http://nosql.mypopescu.com&quot; style=&quot;display:none;visibility:hidden;&quot; target=&quot;_blank&quot;&gt;NoSQL database&lt;/a&gt;©myNoSQL)&lt;/p&gt;

&lt;!--quid:fed4b4047537b6552fefc0983b15a114e5cc71aa--&gt;&lt;div class=&quot;feedflare&quot;&gt;
&lt;a href=&quot;http://feeds.feedburner.com/~ff/nosql?a=-2HEwOX6eFI:1iOcnAtyrbA:I9og5sOYxJI&quot;&gt;&lt;img src=&quot;http://feeds.feedburner.com/~ff/nosql?d=I9og5sOYxJI&quot; border=&quot;0&quot;&gt;&lt;/img&gt;&lt;/a&gt; &lt;a href=&quot;http://feeds.feedburner.com/~ff/nosql?a=-2HEwOX6eFI:1iOcnAtyrbA:yIl2AUoC8zA&quot;&gt;&lt;img src=&quot;http://feeds.feedburner.com/~ff/nosql?d=yIl2AUoC8zA&quot; border=&quot;0&quot;&gt;&lt;/img&gt;&lt;/a&gt; &lt;a href=&quot;http://feeds.feedburner.com/~ff/nosql?a=-2HEwOX6eFI:1iOcnAtyrbA:F7zBnMyn0Lo&quot;&gt;&lt;img src=&quot;http://feeds.feedburner.com/~ff/nosql?i=-2HEwOX6eFI:1iOcnAtyrbA:F7zBnMyn0Lo&quot; border=&quot;0&quot;&gt;&lt;/img&gt;&lt;/a&gt;
&lt;/div&gt;&lt;img src=&quot;http://feeds.feedburner.com/~r/nosql/~4/-2HEwOX6eFI&quot; height=&quot;1&quot; width=&quot;1&quot;/&gt;</description>
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        <item>
            <title>Thoughts on SimpleDB, DynamoDB and Cassandra</title>
            <link>http://feedproxy.google.com/~r/nosql/~3/O5R_eMZbM_4/16941671515</link>
            <description>&lt;a href=&quot;http://perfcap.blogspot.com/2012/01/thoughts-on-simpledb-dynamodb-and.html&quot;&gt;Thoughts on SimpleDB, DynamoDB and Cassandra&lt;/a&gt;: &lt;p&gt;Adrian Cockcroft:&lt;/p&gt;
&lt;blockquote&gt;
&lt;p&gt;So the lesson here is that for a first step into NoSQL, we went with a hosted solution so that we didn’t have to build a team of experts to run it, and we didn’t have to decide in advance how much scale we needed. Starting again from scratch today, I would probably go with DynamoDB. It’s a low “friction” and developer friendly solution.&lt;/p&gt;
&lt;/blockquote&gt;
&lt;p&gt;You can look at this in two ways: 1) a biased opinion of someone that has already betted on Amazon with the infrastructure of a multi-billion business; 2)  the opinion of someone that has accumulated a ton of experience in the NoSQL space and that is successfully&lt;sup id=&quot;fnref:2-fn-successfully&quot;&gt;&lt;a href=&quot;#fn:2-fn-successfully&quot; rel=&quot;footnote&quot; target=&quot;_blank&quot;&gt;1&lt;/a&gt;&lt;/sup&gt; running the infrastructure of a multi-billion business on NoSQL solutions. I’d  strongly suggest you to think of it as the latter.&lt;/p&gt;
&lt;div class=&quot;footnote&quot;&gt;
&lt;hr&gt;&lt;ol&gt;&lt;li id=&quot;fn:2-fn-successfully&quot;&gt;
&lt;p&gt;Netflix was one of the few companies that continued to operate during Amazon’s EBS major failure. &lt;a href=&quot;#fnref:2-fn-successfully&quot; rev=&quot;footnote&quot; title=&quot;Jump back to footnote 1 in the text&quot; target=&quot;_blank&quot;&gt;↩&lt;/a&gt;&lt;/p&gt;
&lt;/li&gt;
&lt;/ol&gt;&lt;/div&gt;

&lt;p class=&quot;cc&quot; style=&quot;font-style: italic; font-size: 0.9em;&quot;&gt;Original title and link: &lt;a href=&quot;http://nosql.mypopescu.com/post/16941671515&quot; rel=&quot;permalink&quot; style=&quot;color:red&quot; target=&quot;_blank&quot;&gt;Thoughts on SimpleDB, DynamoDB and Cassandra&lt;/a&gt; (&lt;a href=&quot;http://nosql.mypopescu.com&quot; style=&quot;display:none;visibility:hidden;&quot; target=&quot;_blank&quot;&gt;NoSQL database&lt;/a&gt;©myNoSQL)&lt;/p&gt;&lt;div class=&quot;feedflare&quot;&gt;
&lt;a href=&quot;http://feeds.feedburner.com/~ff/nosql?a=O5R_eMZbM_4:AosR5zu8g6w:I9og5sOYxJI&quot;&gt;&lt;img src=&quot;http://feeds.feedburner.com/~ff/nosql?d=I9og5sOYxJI&quot; border=&quot;0&quot;&gt;&lt;/img&gt;&lt;/a&gt; &lt;a href=&quot;http://feeds.feedburner.com/~ff/nosql?a=O5R_eMZbM_4:AosR5zu8g6w:yIl2AUoC8zA&quot;&gt;&lt;img src=&quot;http://feeds.feedburner.com/~ff/nosql?d=yIl2AUoC8zA&quot; border=&quot;0&quot;&gt;&lt;/img&gt;&lt;/a&gt; &lt;a href=&quot;http://feeds.feedburner.com/~ff/nosql?a=O5R_eMZbM_4:AosR5zu8g6w:F7zBnMyn0Lo&quot;&gt;&lt;img src=&quot;http://feeds.feedburner.com/~ff/nosql?i=O5R_eMZbM_4:AosR5zu8g6w:F7zBnMyn0Lo&quot; border=&quot;0&quot;&gt;&lt;/img&gt;&lt;/a&gt;
&lt;/div&gt;&lt;img src=&quot;http://feeds.feedburner.com/~r/nosql/~4/O5R_eMZbM_4&quot; height=&quot;1&quot; width=&quot;1&quot;/&gt;</description>
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        <item>
            <title>Big Data...</title>
            <link>http://tkyte.blogspot.com/2012/02/big-data.html</link>
            <description></description>
        </item>
        <item>
            <title>All about Security - SQL Injection</title>
            <link>http://tkyte.blogspot.com/2012/02/all-about-security-sql-injection.html</link>
            <description></description>
        </item>
        <item>
            <title>Neo4j 1.6 GA Release: Heroku, Cypher, Lucene 3.5</title>
            <link>http://feedproxy.google.com/~r/nosql/~3/QTKUlEOdclk/16933010342</link>
            <description>&lt;p&gt;&lt;a href=&quot;http://java.dzone.com/news/neo4j-cloud-neo4j-16-ga&quot; rel=&quot;external nofollow&quot; target=&quot;_blank&quot;&gt;Announced last week&lt;/a&gt;, Jörn Kniv aka Neo4j 1.6 features:&lt;/p&gt;
&lt;ul&gt;&lt;li&gt;Improved Cypher (the query language)&lt;/li&gt;
&lt;li&gt;Web admin - Full Neo4j Shell commands, including versioned Cypher syntax.&lt;/li&gt;
&lt;li&gt;Kernel improvements&lt;/li&gt;
&lt;li&gt;Upgraded Lucene version to 3.5.&lt;/li&gt;
&lt;/ul&gt;&lt;p&gt;Also the Neo guys have been &lt;a href=&quot;http://neo4j-challenge.herokuapp.com/&quot; rel=&quot;external nofollow&quot; target=&quot;_blank&quot;&gt;pushing quite a bit&lt;/a&gt; their public beta Heroku add-on.&lt;/p&gt;

&lt;p class=&quot;cc&quot; style=&quot;font-style: italic; font-size: 0.9em;&quot;&gt;Original title and link: &lt;a href=&quot;http://nosql.mypopescu.com/post/16933010342&quot; rel=&quot;permalink&quot; style=&quot;color:red&quot; target=&quot;_blank&quot;&gt;Neo4j 1.6 GA Release: Heroku, Cypher, Lucene 3.5&lt;/a&gt; (&lt;a href=&quot;http://nosql.mypopescu.com&quot; style=&quot;display:none;visibility:hidden;&quot; target=&quot;_blank&quot;&gt;NoSQL database&lt;/a&gt;©myNoSQL)&lt;/p&gt;&lt;div class=&quot;feedflare&quot;&gt;
&lt;a href=&quot;http://feeds.feedburner.com/~ff/nosql?a=QTKUlEOdclk:PcYJfXUSm2o:I9og5sOYxJI&quot;&gt;&lt;img src=&quot;http://feeds.feedburner.com/~ff/nosql?d=I9og5sOYxJI&quot; border=&quot;0&quot;&gt;&lt;/img&gt;&lt;/a&gt; &lt;a href=&quot;http://feeds.feedburner.com/~ff/nosql?a=QTKUlEOdclk:PcYJfXUSm2o:yIl2AUoC8zA&quot;&gt;&lt;img src=&quot;http://feeds.feedburner.com/~ff/nosql?d=yIl2AUoC8zA&quot; border=&quot;0&quot;&gt;&lt;/img&gt;&lt;/a&gt; &lt;a href=&quot;http://feeds.feedburner.com/~ff/nosql?a=QTKUlEOdclk:PcYJfXUSm2o:F7zBnMyn0Lo&quot;&gt;&lt;img src=&quot;http://feeds.feedburner.com/~ff/nosql?i=QTKUlEOdclk:PcYJfXUSm2o:F7zBnMyn0Lo&quot; border=&quot;0&quot;&gt;&lt;/img&gt;&lt;/a&gt;
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        </item>
        <item>
            <title>How to Install apk to Android Devices from Mac OS X</title>
            <link>http://feedproxy.google.com/~r/dbform/~3/bLwIjk98Etg/1807.html</link>
            <description>在Mac OS X中我们可以使用Android SDK直接将下载到电脑中的apk文件安装到Android设备中。 1. 下载Android SDK，可以从Android Developers网站直接下载，也可以通过MacPorts安装。我采取后一种方式。 $ sudo port install android Password: ---&amp;#62; Fetching archive for android ---&amp;#62; Attempting to fetch android-16_0.darwin_11.x86_64.tbz2 from http://packages.macports.org/android ---&amp;#62; Fetching android ---&amp;#62; Attempting to fetch android-sdk_r16-macosx.zip from http://dl.google.com/android ---&amp;#62; Attempting to fetch android-appbundles-r89422.tar.gz from http://distfiles.macports.org/android ---&amp;#62; Verifying checksum(s) for android ---&amp;#62; Extracting android ---&amp;#62; Configuring android ---&amp;#62; [...]
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        </item>
        <item>
            <title>NoSQL Market from Couchbase Perspective</title>
            <link>http://feedproxy.google.com/~r/nosql/~3/z_h2feCQ2L4/16922331195</link>
            <description>&lt;a href=&quot;http://www.dbms2.com/2012/02/01/couchbase-update/&quot;&gt;NoSQL Market from Couchbase Perspective&lt;/a&gt;: &lt;p&gt;James Philips (Couchbase) for Curt Monash:&lt;/p&gt;
&lt;blockquote&gt;
&lt;ul&gt;&lt;li&gt;MongoDB is the big competition. He believes Couchbase has an excellent win rate vs. 10gen for actual paying accounts.&lt;/li&gt;
&lt;li&gt;DataStax/Cassandra wins over Couchbase only when multi-data-center capability is important. Naturally, multi-data-center capability is planned for Couchbase. (Indeed, that’s one of the benefits of swapping in CouchDB at the back end.)&lt;/li&gt;
&lt;li&gt;Redis has “dropped off the radar”, presumably because there’s no particular persistence strategy for it.&lt;/li&gt;
&lt;li&gt;Riak doesn’t show up much.&lt;/li&gt;
&lt;/ul&gt;&lt;/blockquote&gt;
&lt;p&gt;I assume this is sort of a pre-sales/sales department 100k feet overview.&lt;/p&gt;

&lt;p class=&quot;cc&quot; style=&quot;font-style: italic; font-size: 0.9em;&quot;&gt;Original title and link: &lt;a href=&quot;http://nosql.mypopescu.com/post/16922331195&quot; rel=&quot;permalink&quot; style=&quot;color:red&quot; target=&quot;_blank&quot;&gt;NoSQL Market from Couchbase Perspective&lt;/a&gt; (&lt;a href=&quot;http://nosql.mypopescu.com&quot; style=&quot;display:none;visibility:hidden;&quot; target=&quot;_blank&quot;&gt;NoSQL database&lt;/a&gt;©myNoSQL)&lt;/p&gt;&lt;div class=&quot;feedflare&quot;&gt;
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        </item>
        <item>
            <title>Viewing Figures</title>
            <link>http://feedproxy.google.com/~r/OracleScratchpad/~3/PHvobn29xFQ/</link>
            <description>It&amp;#8217;s time for another landmark. The blog has just hit 2,500,000 views (taking three weeks less than the previous half million increment) &amp;#8211; here&amp;#8217;s a little breakdown on the numbers. First the top five across the lifetime of the blog: AWR / Statspack menu 40,714 Updated from time to time NOT IN 33,983 Feb 2007 Cartesian [...]&lt;img alt=&quot;&quot; border=&quot;0&quot; src=&quot;http://stats.wordpress.com/b.gif?host=jonathanlewis.wordpress.com&amp;amp;blog=491988&amp;amp;post=8206&amp;amp;subd=jonathanlewis&amp;amp;ref=&amp;amp;feed=1&quot; width=&quot;1&quot; height=&quot;1&quot; /&gt;</description>
        </item>
        <item>
            <title>MongoDB Tips &amp; Tricks: Using MongoDB ObjectIds as created-on timestamps</title>
            <link>http://feedproxy.google.com/~r/nosql/~3/j_W-3Knoons/16921636810</link>
            <description>&lt;a href=&quot;http://blog.fiesta.cc/post/16470048697/using-and-abusing-mongodb-objectids-as-created-on&quot;&gt;MongoDB Tips &amp; Tricks: Using MongoDB ObjectIds as created-on timestamps&lt;/a&gt;: &lt;blockquote&gt;
&lt;p&gt;One of my favorite MongoDB tricks is the ability to use an ObjectId (the default type for MongoDB’s _id primary key) as a timestamp for when a document was created. Here’s how it works:&lt;/p&gt;
&lt;pre&gt;&lt;code&gt;  $ import pymongo
  $ db = pymongo.Connection().test
  $ db.test.insert({'hello': 'world'})
  ObjectId('4f202e64e6fb1b56ff000000')
  $ doc = db.test.find_one()
  $ doc['_id'].generation_time
  datetime.datetime(2012, 1, 25, 16, 31, 32, tzinfo
&lt;/code&gt;&lt;/pre&gt;
&lt;/blockquote&gt;
&lt;p&gt;Mike Dirolf used to work for 10gen so he probably knows quite a few such MongoDB tips &amp; tricks.&lt;/p&gt;

&lt;p class=&quot;cc&quot; style=&quot;font-style: italic; font-size: 0.9em;&quot;&gt;Original title and link: &lt;a href=&quot;http://nosql.mypopescu.com/post/16921636810&quot; rel=&quot;permalink&quot; style=&quot;color:red&quot; target=&quot;_blank&quot;&gt;MongoDB Tips &amp; Tricks: Using MongoDB ObjectIds as created-on timestamps&lt;/a&gt; (&lt;a href=&quot;http://nosql.mypopescu.com&quot; style=&quot;display:none;visibility:hidden;&quot; target=&quot;_blank&quot;&gt;NoSQL database&lt;/a&gt;©myNoSQL)&lt;/p&gt;&lt;div class=&quot;feedflare&quot;&gt;
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            <description>假设我们想要在Mac OS X中安装： MySQL，这是一个开源的免费的数据库，当然备Oracle收购之后有一些变化。 postgreSQL，这又是另外一个开源的免费的数据库。 perl，这是一种流行的编程语言。 lua，这又是另外一种流行的编程语言。 watch，这是一个实用程序，可以默认每隔2秒重复执行某条命令，比如你想监控一个目录下的文件生成情况，这条命令就很有用。 tree，这是一个实用程序，可以提供类似于ls -R的功能，但是输出是更加直观的树状结构。 当然，我们可以在网络中一个一个地找这些程序，然后一个一个地安装，用不同的安装方法，但是，你也可以选择非常简单的方法，这就是本文要介绍的MacPorts。 在Linux中如果我们要安装一些软件，要解决各个软件之间的包依赖性关系，我们会使用到apt-get（Ubuntu）或者yum（Redhat，CentOS）或者zypper（openSUSE），如果你熟悉一些Linux的话，对于这些软件包管理程序应该有所耳闻。而MacPorts正是在Mac OS X上的软件包管理程序。 安装MacPorts最简单的方法是直接下载dmg文件，双击安装 － Lion版安装文件 &amp;#124; Snow Leopard版安装文件。 MacPorts安装完以后，我们就可以通过命令行的方式来安装其它软件了，可以参看具体命令文档。以下列出常用的命令： 1. 更新本地软件库列表，该命令可以不定时多次执行（sudo以后需要输入密码，输入你自己用户的密码即可）。 sudo port selfupdate 2. 列出软件库中有哪些软件，注意，该命令会输出大量软件名称，因此建议添加more来查看，或者使用后面的search命令。 port list &amp;#124; more 3. 检索需要安装的软件。 port search &amp;#60;software_name&amp;#62; 当然，还有更精确地搜索，比如如果直接port search tree会出现上百个结果，但是如果执行以下命令，就只会出现一个结果。 $ port search --name --exact tree tree @1.6.0 (sysutils) display tree-view of directories with optional [...]
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            <link>http://blog.alipay.com/2512.html</link>
            <description>支付宝方面的数据显示，今年春节7天假期，通过支付宝网站进行的转账打款超过111万人次，同比去年春节假期增长了75%。超过50万人还顺手通过支付宝还了节前大采购留下的信用卡账单。手机支付交易额比去年春节大涨了7倍，其中每天约有20万人直接通过手机支付宝充话费。 网上发红包 单笔平均超500元 支付宝方面表示，今年春节期间，通过支付宝进行转账打款的笔数超过111万笔，同比增长了75%，金额近6亿元，单笔平均金额约为500多元。 除了“赤裸裸”地给对方直接打款，支付宝还为讲究“包装”的人提供了专门的“送礼金”功能。特别通过“送礼金”功能给出的红包，平均金额高达1300多元。 7天内近50万人网上还信用卡 由于节前消费者密集消费置办年货，春节期间应酬增多开销大，春节假期和节后也是信用卡还款的高峰期。 目前，支付宝支持为24家银行信用卡还款，其中20家银行可以当天还款当天到帐。2012年春节假期7天，有近50万人通过支付宝给信用卡还款，人数比去年春节增加了178%，还款笔数超过60万笔，比去年增加了192%。 无线支付春节大涨7倍 充话费买机票最流行 春节期间很多人不再守着电脑，更便捷的手机成为很多人日常上网、娱乐的首选，手机支付也迎来了大增长。2012年春节期间，支付宝手机支付的笔数同比增长了5倍，手机支付的金额则同比增长了7倍。手机话费充值、手机购机票成为最热门的手机支付应用。 支付宝无线事业部总经理诸寅嘉介绍，春节假期期间平均每天有近20万人次通过手机支付宝进行话费充值，比假期前的充值量增长了60%。其中除夕夜和正月初一的充值量达到顶峰，充值笔数达到27万笔。 除了手机充值这样的小金额应用，拿起手机买机票也成为很多人的新选择。春节7天，平均每天有1万人选择在手机上购买机票，显示出强劲的返程“刚需”。而去年春节，各大航空公司及在线机票平台还几乎没有手机购买机票的服务推出。 诸寅嘉介绍，今年春节前支付宝结合“送红包”和“手机支付”两项服务还推出了悦享拍“二维码红包”。亲戚朋友只要打开支付宝手机客户端，用“悦享拍”功能扫描识别每个人的专属二维码就能读出其中的祝福，并即时送出新年压岁钱。 目前支付宝手机客户端已经支持iphone、安卓、云OS、塞班、Windows Phone等所有的主流手机操作系统，客户端装机量已经超过1000万台。</description>
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            <title>游击队 vs. 军团作战</title>
            <link>http://www.dbanotes.net/startup/Smartness_Team.html</link>
            <description>&lt;p&gt;在过去一段时间发现，一些大的互联网公司，比如 Amazon、Google、Facebook、Tencent，已经非常倾向于「游击队」作战模式，也即启用技术小团队，快速灵活、便于沟通；而不是动辄几百上千人攻关大项目，我知道淘宝以前有「上万人天」的大项目。&lt;/p&gt;

&lt;p&gt;比如，亚马逊 CTO Werner Vogels接受访谈时透露：「亚马逊就建立了很多的技术小团队，每个团队基本上都是 8-10 个人，这种团队的灵活性体现在，当有了新的想法马上就能够行动起来，而且沟通简单，不需要开很多会议才能把事情说清楚」，「」这些技术小团队围绕的是亚马逊提供的各种服务，比如购物、推荐系统、甚至评论服务。」&lt;/p&gt;

&lt;p&gt;而 Facebook ，公司已经形成了「特别认可小团队」的文化，「It's important to understand that, at Facebook, we believe in particularly small teams」(&lt;a href=&quot;http://uxweek.com/2010/files/2011/02/UXWeek2010_Adam_Mosseri.pdf&quot;&gt;refer&lt;/a&gt;), 绝大多数项目最多六七个人。&lt;/p&gt;

&lt;p&gt;至于 Google，施密特曾有一次在接受采访时表示，「我们的成功产品都是由反应快的小团队开发的」，即使 Google+ 这样毕其功于一役的项目动用了超过 500 人，但「Circles 的设计是由一个人主导的。团队约为5-10人，他们在通用平台上做彼此的工作」&lt;/p&gt;

&lt;p&gt;至于腾讯，从对张小龙的采访可知一斑。甚至去年的明星产品微信，团队也并不大，「微信第一批成员不到十人」(&lt;a href=&quot;http://tech.qq.com/a/20120116/000451.htm&quot;&gt;refer&lt;/a&gt;)。&lt;/p&gt;

&lt;p&gt;我不厌其烦的举众多例子，是无意陷入到争论中(至于软件行业的朋友，就更没必要来抬杠了)。这些信息或许给我们一个启示: 游击队模式或许是个好方法。毕竟，军团作战，我是说几十乃至数百上千人的协同开发，实际上给协调和沟通带来了相当大的挑战，与其投入昂贵的管理成本，不如反其道行之，让这些问题不存在。&lt;/p&gt;

&lt;p&gt;从我过去一年中的实践来看，收效不错。作为一个管理者，应该尽量克制投入军团作战的野心，尽管「小即美」的道理浅显易懂，但跳出思维定势似乎不那么容易。对于创业团队，人手本来就少，更是应该将单个开发小组尽可能的缩小，两三个人一个小组，效率应该会非常好，而且，创业团队几乎不存在「基础设施集中与否」的问题。&lt;/p&gt;

--EOF--</description>
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        <item>
            <title>2012 龙年新年记事</title>
            <link>http://www.eygle.com/archives/2012/01/2012_newyear_record.html</link>
            <description>暧暧远人村，依依墟里烟</description>
        </item>
        <item>
            <title>Purrpetual Motion</title>
            <link>http://feedproxy.google.com/~r/OracleScratchpad/~3/v2-ydNSTJnU/</link>
            <description>This is a really old idea &amp;#8211; but it&amp;#8217;s the first time I&amp;#8217;ve seen it illustrated. (The obvious flaw in the concept appears  in comment 22.)&lt;img alt=&quot;&quot; border=&quot;0&quot; src=&quot;http://stats.wordpress.com/b.gif?host=jonathanlewis.wordpress.com&amp;amp;blog=491988&amp;amp;post=8149&amp;amp;subd=jonathanlewis&amp;amp;ref=&amp;amp;feed=1&quot; width=&quot;1&quot; height=&quot;1&quot; /&gt;</description>
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        <item>
            <title>Install GI and DB PSU 11.2.0.2.5 Failed in VirtualBox</title>
            <link>http://feedproxy.google.com/~r/dbform/~3/4j1jwUMUBrA/1788.html</link>
            <description>Oracle的Apply Patchset的方法一直是为人诟病的，其实步骤复杂倒也罢了，怕的是Oracle总在不停地修改Apply Patch的方法，Oracle的原意是让Apply Patch的语法越来越简单，但是各种各样的Patch，各种不同的命令，特别是很大的Bundle Patch，如果不仔细阅读Readme，千万不要轻易出手。 这次尝试在自己的VirtualBox虚拟机OEL6中给之前安装的GI（Oracle Restart）+ ASM + Oracle Database安装最新的11.2.0.2.5 PSU，遇到各种问题。 1. Patch解压的目录必须是grid用户和oracle用户拥有写权限的，如果没有写权限，会报错： Opatch version check failed for oracle home /u01/app/oracle/product/11.2.0/dbhome_1 Opatch version check failed update the opatch version for the failed homes and retry 安装需求是使用root用户来安装（这是我第一次看到在安装PSU的时候要求使用root用户），而我的虚拟机中由于没有足够的磁盘空间，所以将Mac中的下载目录作为Shared Folder映射到虚拟机中，因此改目录的属主是root，用户组是vboxsf，而且并不允许使用chmod直接修改。因此出现了权限问题。我的解决方法是将grid用户和oracle用户都加入vboxsf组中。 建议：在真实环境中，Patch解压目录应该属于dba用户组。 2. 我的Patch是解压在/media/sf_PSU目录下，解压以后生成了p13343447_112020_Linux-x86-64目录，其下有两个目录分别是13343424（这是DB PSU）和13343447（这是GI PSU），整个目录结构如下所示： &amp;#124;-media &amp;#124;--sf_PSU &amp;#124;---p13343447_112020_Linux-x86-64 &amp;#124;-----13343424 &amp;#124;-----13343447 按照Readme文档中描述的，opatch的命令应该写为： opatch auto &amp;#60;UNZIPPED_PATCH_LOCATION&amp;#62; 此处的UNZIPPED_PATCH_LOCATION按照文档描述应该就是/media/sf_PSU目录，因为这是解压目录，但是实际上这份文档是有问题的，如果opatch命令写为： opatch auto [...]
Related posts:&lt;ol&gt;
&lt;li&gt;&lt;a href='http://www.dbform.com/html/2008/477.html' rel='bookmark' title='How to install 10.2.0.3 CRS BUNDLE #1'&gt;How to install 10.2.0.3 CRS BUNDLE #1&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a href='http://www.dbform.com/html/2008/522.html' rel='bookmark' title='OCM exam guide &amp;#8211; Install Grid Control'&gt;OCM exam guide &amp;#8211; Install Grid Control&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a href='http://www.dbform.com/html/2010/1320.html' rel='bookmark' title='Install 11.2.0.2 RAC on OEL5.5 x86-64 (root.sh issue on second node)'&gt;Install 11.2.0.2 RAC on OEL5.5 x86-64 (root.sh issue on second node)&lt;/a&gt;&lt;/li&gt;
&lt;/ol&gt;</description>
        </item>
        <item>
            <title>Log Buffer #256, A Carnival of the Vanities for DBAs</title>
            <link>http://feedproxy.google.com/~r/PythianGroupBlog/~3/cwCLihRrPc4/</link>
            <description>Searching for the blogging inspiration? On the look-out for that Eureka moment for your next blockbuster blog post? Finding the exact ingredients for your dream rambling? Well in the Log Buffer Edition, there are some awe-inspiring posts in this Log Buffer #256. Get Inspired, keep blogging. Oracle: If there is a notable technical database conference [...]&lt;img src=&quot;http://feeds.feedburner.com/~r/PythianGroupBlog/~4/cwCLihRrPc4&quot; height=&quot;1&quot; width=&quot;1&quot;/&gt;</description>
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        <item>
            <title>RIP Flash-based My Oracle Support</title>
            <link>http://feedproxy.google.com/~r/PythianGroupBlog/~3/NlaDR3JSJgE/</link>
            <description>The end is nigh for Adobe Flash at My Oracle Support. The first step will happen during this weekend&amp;#8217;s planned maintenance of My Oracle support, when all of MOS will be down for 5 hours starting at midnight eastern, Saturday January 28. Once it comes back up, the unadvertised non-Flash supporthtml.oracle.com will come up as [...]&lt;img src=&quot;http://feeds.feedburner.com/~r/PythianGroupBlog/~4/NlaDR3JSJgE&quot; height=&quot;1&quot; width=&quot;1&quot;/&gt;</description>
        </item>
        <item>
            <title>Ouch!</title>
            <link>http://feedproxy.google.com/~r/OracleScratchpad/~3/TtLl-D6es_U/</link>
            <description>Here&amp;#8217;s a set of Instance Activity stats I&amp;#8217;ve never seen before, and I&amp;#8217;d rather never see again. From an active standby running 11.1.0.7 on AIX: The instance has been up for about 60 hours &amp;#8211; and 95% of the work it has done has been trying to find the commit times for transactions affecting blocks [...]&lt;img alt=&quot;&quot; border=&quot;0&quot; src=&quot;http://stats.wordpress.com/b.gif?host=jonathanlewis.wordpress.com&amp;amp;blog=491988&amp;amp;post=8169&amp;amp;subd=jonathanlewis&amp;amp;ref=&amp;amp;feed=1&quot; width=&quot;1&quot; height=&quot;1&quot; /&gt;</description>
        </item>
        <item>
            <title>A Quick Pas de Deux with Dancer</title>
            <link>http://feedproxy.google.com/~r/PythianGroupBlog/~3/AdOq0jds2Fk/</link>
            <description>This is going to be a short one, but potentially useful for anybody writing a Dancer template module, or just plain curious about Dancer&amp;#8216;s guts. So here goes: A few weeks ago, it came to my attention that Dancer&amp;#8217;s Dancer::Template::Abstract, the base class for its template modules, added a test to verify that the template [...]&lt;img src=&quot;http://feeds.feedburner.com/~r/PythianGroupBlog/~4/AdOq0jds2Fk&quot; height=&quot;1&quot; width=&quot;1&quot;/&gt;</description>
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        <item>
            <title>Pythian at RMOUG Training Days 2012</title>
            <link>http://feedproxy.google.com/~r/PythianGroupBlog/~3/KqcuH1yXf2c/</link>
            <description>Pythian is very excited to return to the much-awaited RMOUG 12 held in Denver, Colorado from February 14-16, 2012. Keep your eyes open for Alex Gorbachev, Marc Fielding, Don Seiler and Gwen Shapira in attendance. We have a fantastic line-up of speakers this year featuring a total of seven papers presented by Alex, Marc, Don [...]&lt;img src=&quot;http://feeds.feedburner.com/~r/PythianGroupBlog/~4/KqcuH1yXf2c&quot; height=&quot;1&quot; width=&quot;1&quot;/&gt;</description>
        </item>
        <item>
            <title>T-SQL: Retrieve all users and associated roles for ALL databases</title>
            <link>http://feedproxy.google.com/~r/PythianGroupBlog/~3/5LBbJNeT2f8/</link>
            <description>A frequent inquiry concerning databases&amp;#8217; security is to retrieve the database role(s) associated with each user for auditing or troubleshooting purposes. Each database user (principal) can be retrieved from sys.database_principals and the associated database roles can be retrieved from sys.database_role_members The following code runs against ALL the databases using SP_MSForeachdb and all roles for one [...]&lt;img src=&quot;http://feeds.feedburner.com/~r/PythianGroupBlog/~4/5LBbJNeT2f8&quot; height=&quot;1&quot; width=&quot;1&quot;/&gt;</description>
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        <item>
            <title>Log Buffer #255, A Carnival of the Vanities for DBAs</title>
            <link>http://feedproxy.google.com/~r/PythianGroupBlog/~3/YELMBPauw6s/</link>
            <description>With winter and its cold weather starting to set in across most of the world, now is the time when travelers start to think about warming things up. For most, that means flying to hot and sunny destinations. Another way of looking at it, however, is to head out for a different kind of sizzle. [...]&lt;img src=&quot;http://feeds.feedburner.com/~r/PythianGroupBlog/~4/YELMBPauw6s&quot; height=&quot;1&quot; width=&quot;1&quot;/&gt;</description>
        </item>
        <item>
            <title>《Oracle DBA手记》以及51CTO 年度图书作者</title>
            <link>http://www.eygle.com/archives/2012/01/oracle_dba_51cto_2011.html</link>
            <description>从出版社获得的消息，在51CTO的年度评选中，再次被评选为年度最受读者喜爱的作者奖。

感谢 51CTO 网站多年以来坚持不懈的图书评选工作，这一评选对于支持图书原创、图书写作来说，具有相当的影响力和支持作用。

感谢出版社，也感谢读者们的支持和厚爱，谢谢，祝大家龙年快乐！</description>
        </item>
        <item>
            <title>Quiz Night</title>
            <link>http://feedproxy.google.com/~r/OracleScratchpad/~3/Ue2WoDsOCoM/</link>
            <description>In my previous post, I made the comment: In general, if you have a three-column index that starts with the same columns in the same order as the two-column index then the three-column index will be bigger and have a higher clustering_factor. So what scenarios can you come up with that fall outside the general [...]&lt;img alt=&quot;&quot; border=&quot;0&quot; src=&quot;http://stats.wordpress.com/b.gif?host=jonathanlewis.wordpress.com&amp;amp;blog=491988&amp;amp;post=8145&amp;amp;subd=jonathanlewis&amp;amp;ref=&amp;amp;feed=1&quot; width=&quot;1&quot; height=&quot;1&quot; /&gt;</description>
        </item>
        <item>
            <title>SCSI读写错误导致文件系统只读的数据库恢复</title>
            <link>http://www.eygle.com/archives/2012/01/scsi_error_crash_database.html</link>
            <description>假期马上来到，一个客户数据库出现问题。两个实例异常终止，文件系统变成只读,数据库无法启动。</description>
        </item>
        <item>
            <title>DNS</title>
            <link>http://yumianfeilong.com/html/2012/01/18/544.html</link>
            <description>在CAP理论中，DNS占据了AP(Availability &amp;#38; partition).
按照数据库的思想来说，DNS可以说是分布式的，层次结构的，KEY-VALUE的，高可用的系统。
分布式和层次结构

网址www.yumianfeilong.com，其实就是www.yumianfeilong.com. (末尾有个&amp;#8221;.&amp;#8221;，表示root). &amp;#8220;.&amp;#8221;就是Root, &amp;#8220;.com&amp;#8221;就是TLD DNS， ”.com.yumianfeilong“是次级DNS. &amp;#8220;www&amp;#8221;可以说是该次级DNS内的一台server。
每个层次的DNS存储下一级DNS的地址。这样当要查找一个DNS对应的IP时候，可以查找root dns得到下一级DNS，再去下一级DNS递归查找。
分布式查询

DNS查询最常见的2种方式:Recursive queries:和Iterative (or nonrecursive) queries。如上为Recursive模式，表示为客户端的DNS解析完全由DNS resolve代劳，具体步骤如下：
1. A user types the URL http://www.example.com into a browser.
2. The browser sends a request for the IP address of www.example.com to its local
resolver (stub-resolver).
3. The stub-resolver queries the locally configured DNS Resolver for the IP
address of www.example.com.
4. The DNS Resolver [...]</description>
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        <item>
            <title>ACOUG 2012年2月 Ask Tom and Eygle - 上海</title>
            <link>http://www.eygle.com/archives/2012/01/acoug_20122_asktom.html</link>
            <description>ACOUG在2012年的首次活动将来到上海，重量级的嘉宾是Thomas Kyte，ASKTOM 网站背后的老大，Oracle的副总裁。</description>
        </item>
        <item>
            <title>Critical Oracle Database Bug - System Change Number (SCN) (CVE-2012-0082)</title>
            <link>http://www.integrigy.com/oracle-security-blog/archive/2012/01/17/oracle-scn-bug</link>
            <description>InfoWorld magazine today published &lt;a href=&quot;http://www.infoworld.com/d/security/revealed-fundamental-oracle-flaw-184163&quot;&gt;detailed information&lt;/a&gt; regarding Oracle Database security bug&amp;nbsp;CVE-2012-0082, which has associated fixes in the Oracle's &lt;a href=&quot;http://www.oracle.com/technetwork/topics/security/cpujan2012-366304.html&quot;&gt;January 2012 Critical Patch Update&lt;/a&gt;.&amp;nbsp; This security vulnerability specifically relates to the Oracle System Change Number (SCN) and ways to increase the SCN beyond the current maximum value (SCN Headroom or Maximum Reasonable SCN) in order to stop processing of database transactions.&amp;nbsp; &lt;br /&gt;&lt;br /&gt;Where this vulnerability gets interesting is that the SCN is synchronized to the highest SCN when two databases are connected via a database link.&amp;nbsp; Therefore, it is possible to increase a database to the near maximum SCN through a database link, which will cascade through to all other interconnected databases.&amp;nbsp; The result can be ORA-600 errors and potentially database crashes on the database with the lower SCN.&lt;br /&gt;&lt;br /&gt;This vulnerability appears to have been discovered as the result of a bug in RMAN which can cause the SCN to reach current maximum SCN value and a change in the way the Maximum Reasonable SCN is calculated in 11.2.0.2.&amp;nbsp; The 11.2.0.2 change appears to have impacted or crashed at least a hundred databases at a very large Oracle customer.&lt;br /&gt;&lt;br /&gt;As this vulnerability will get significant press, we foresee an &amp;quot;arms race&amp;quot; ensuing with release of different methods to maliciously increment the current SCN and techniques to perform database denial of services attacks related to the SCN.&lt;br /&gt;&lt;br /&gt;Integrigy will be publishing in the near future our analysis of the impact of this vulnerability along with recommendations on mitigating the risk in your organization.&lt;br /&gt;&lt;br /&gt;Oracle has published more information regarding SCNs and potential impact in a My Oracle Support (MOS) note (requires My Oracle Support access) -&lt;br /&gt;&lt;br /&gt;&lt;a href=&quot;https://support.oracle.com/CSP/main/article?cmd=show&amp;amp;type=NOT&amp;amp;doctype=BULLETIN&amp;amp;id=1376995.1&quot;&gt;Information on the System Change Number (SCN) and how it is used in the Oracle Database&lt;/a&gt; [ID 1376995.1]</description>
        </item>
        <item>
            <title>更多Oracle DBA职位 Vancouver Burnaby</title>
            <link>http://zhu1.blogspot.com/2012/01/oracle-dba-vancouver-burnaby.html</link>
            <description></description>
        </item>
        <item>
            <title>Oracle Database or Hadoop?</title>
            <link>http://feedproxy.google.com/~r/PythianGroupBlog/~3/gRmZIzj9D38/</link>
            <description>Some decisions sound easy, but its also easy to get them wrong. Today I had a choice of hanging around New York city, or working on my big data presentation for RMOUG. Sounds easy, and yet I spent the day working on that presentation. Whenever I tell an experienced Oracle DBA about Hadoop and what [...]&lt;img src=&quot;http://feeds.feedburner.com/~r/PythianGroupBlog/~4/gRmZIzj9D38&quot; height=&quot;1&quot; width=&quot;1&quot;/&gt;</description>
        </item>
        <item>
            <title>Gearing up for RMOUG Training Days 2012</title>
            <link>http://feedproxy.google.com/~r/PythianGroupBlog/~3/Ph4wiJ6tQhc/</link>
            <description>The 2012 edition of RMOUG Training Days in Denver less than a month away, running February 15 and 16 at the Colorado Convention Center in Denver. Although it&amp;#8217;s only two days, there&amp;#8217;s a lot of technical content there, and a refreshing reduction in marketing-oriented presentations from &amp;#8220;product managers&amp;#8221;. It&amp;#8217;s not too late to register, and [...]&lt;img src=&quot;http://feeds.feedburner.com/~r/PythianGroupBlog/~4/Ph4wiJ6tQhc&quot; height=&quot;1&quot; width=&quot;1&quot;/&gt;</description>
        </item>
        <item>
            <title>每天学点经济学(2)</title>
            <link>http://yumianfeilong.com/html/2012/01/15/543.html</link>
            <description>我想:貌似多知道点经济或者金融或者管理方面的概念，就可以多从中受益一样&amp;#8211;比方说投资A股。唉。
你为什么总是原地踏步——内卷化效应
以前看过介绍日本一家专门做10分钟快速平价理发公司的文章，那个文章说凡是在该公司工作超过5年的理发师一律领N+3辞退(可以出去开分店但不让在原店面理发了)，以保证理发的质量，用学术语言来描述，就是为了避免内卷化的一种手段。
‘内卷化‛意指一个社会既无突变式的发展，也无渐进式的增长，长期以来，只是在一个层面上自我消耗和自我重复。大到一个社会，小至一个自我，一旦陷入内卷化状态，即似身陷泥沼，无力前进。
人们常说，信念决定命运。如果一个人认为自己这一生只能如此，那么命运基本上也就不会再有改变，生活就此充满自怨自艾；如果相信自己还能有一番作为，并付诸行动，那么便可能大有斩获。正像运动员所说的，‚拼搏不一定会得到，不拼搏一定会得不到。
走出职场的内卷化，要靠自身力量。这种力量来自于强烈的求知欲望和顽强的上进精神。只有充分发挥自身力量，才能突破自我、表现自我、超越自我，从而使得职业生涯呈现出一片勃勃生机。
税赋到底由谁承担——税赋归宿
提倡理性消费，别被商家促销广告打折女友所洗脑。争做理性人并且争取探索透明的信息。
在这里需要指出的一个原则是，只要消费，就会纳税，我们每一个消费者都是纳税人。到目前为止，我国共有22种税（包括增值税、消费税、营业税、企业所得税、个人所得税、资源税、房产税、城市维护建设税、城市房地产税、城镇土地使用税、土地增值税、耕地占用税、车辆购置税、车船税、契税、印花税、烟叶税、关税、船舶吨税等）。在这些名目繁多的税当中，有些是由个人上缴的，有些是由企业上缴的。
曾有一份研究报告指出，在我国，假如1袋1公斤的盐价格为2元，其中就包含大约0.29元的增值税和大约0.03元的城建税。而每瓶3元的啤酒包含大约0.44元的增值税、0.12元的消费税和0.06元的城建税。如果你花100元买了一件衣服，其中包含14.53元的增值税和1.45元的城建税。如果花l00元买一瓶化妆品，其中除14.53元的增值税外，还包含25.64元的消费税和4.02元的城建税。如果你吸烟，每包烟8元，其中大约4.70元是消费税、增值税和城建税。如果去餐馆吃饭，最后结账时不论多少，餐费的5.5%是营业税及城建税。你如果使用一次性木筷，还会包括些许消费税。你去理发店理发，同样，费用的5.5%是营业税及城建税……总之，一个人只要生活在社会中，只要有购买行为，就免不了交税。
少数服从多数‛的危险——阿罗不可能性定理
很多公司在招聘的时候，面试者往往会被群面。如果一个面试官否定了，就算其他所有的面试官都OK，这个应聘者也会被Pass。
阿罗不可能性定理的基本内容是：如果众多的社会成员有着不同的偏向，同时又要在多种方案之间作出选择，那么仅仅依靠民主制度，将不会得到让所有人都满意的结果。
在企业管理中，有时却会遇到一些特殊的情况，会发现‚投票决定‛并不适用。比如，五个年轻人合伙投资开了一家鲜花礼品店，各自的投资金额也大体相当。那么，他们对礼品店是如何管理的呢？由于他们当中没有‚大股东‛，按照股份比例决定话语权是不可能的。那么，在作出某项决策时，实行‚少数服从多数‛的原则举手来表决，可不可以呢？表面看来，这种方法是可行的，因为不会出现支持方和反对方人数相等的局面，最多也就是三比二。然而，这几个股东的实际做法却并非如此，恰恰相反，他们采取的是：‚所有决策，只要有一人反对，便不能通过‛。原来，在这时实行的是‚多数服从少数‛的原则——我们应该承认，他们的做法是一种智慧的体现。
作为企业，管理者的决策将直接影响企业的发展，如果此时采用投票办法，少数服从多数，将很可能使企业陷入巨大的风险。企业运作，关键是每一个环节都能顺利完成，这样才能达到最终的目的。试想，假设在其中至少有一个投资人不同意的情况下执行决策，这个反对者就成了鲜花店最危险的环节。不难想象，一个认为决策不可能成功的人，一个投反对票的人，在执行时的干劲、结果将会怎样。
以上3个概念和企业管理，个人职业发展，理财靠的更紧密先。
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            <title>记一次ora600[12700]的处理</title>
            <link>http://www.oracleblog.org/working-case/deal-with-ora600-12700/</link>
            <description>环境大了，情况复杂，需要考虑的事情就多了。前几天遇到个5节点rac做parmary+3节点rac做pyhsical dataguard的环境，在primary的某个节点，由于突然的宕机，当我们把它启动重新加入cluster后，就出来...&lt;img src=&quot;http://www1.feedsky.com/t1/597069918/oracleblog/feedsky/s.gif?r=http://www.oracleblog.org/working-case/deal-with-ora600-12700/&quot; border=&quot;0&quot; height=&quot;0&quot; width=&quot;0&quot; style=&quot;position:absolute&quot; /&gt;</description>
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        <item>
            <title>Quiz Night</title>
            <link>http://feedproxy.google.com/~r/OracleScratchpad/~3/m28CNxyfQ-o/</link>
            <description>Browsing a little history recently I came across a note I&amp;#8217;d written about the new-style index hint. In that note I claimed that: &amp;#8230; the index has to start with the columns (product_group, id) in that order – with preference given to an exact match, otherwise using the lowest cost index that starts the right [...]&lt;img alt=&quot;&quot; border=&quot;0&quot; src=&quot;http://stats.wordpress.com/b.gif?host=jonathanlewis.wordpress.com&amp;amp;blog=491988&amp;amp;post=8101&amp;amp;subd=jonathanlewis&amp;amp;ref=&amp;amp;feed=1&quot; width=&quot;1&quot; height=&quot;1&quot; /&gt;</description>
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            <title>TNS-00583 错误解决案例一则</title>
            <link>http://www.eygle.com/archives/2012/01/tns-00583.html</link>
            <description>今天删除了本机安装的Oracle 11g数据库，使用drop database命令</description>
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        <item>
            <title>支付宝推首个企业支付“开放”方案  企业支付与信息管理首现融合</title>
            <link>http://blog.alipay.com/2506.html</link>
            <description>1月12日，支付宝正式推出国内首个企业支付开放方案——支企直联，通过对软件服务商开放，实现企业支付与信息管理的融合同步。支付宝还同时宣布与金蝶达成战略合作，为其提供包含“支企直联”的ERP应用服务。 支企直联采取了平台开放模式，企业管理软件可以与其实现嵌入对接。今后，企业用户可以在内部ERP系统中，直接对支付宝企业账户进行资金管理，完成信息查询、批量付款、转账、提现等业务操作，不但方便，更节省了跨行支付手续费。而支付过程中产生的相关信息会与ERP系统中的财务、采购及销售管理等企业核心业务数据同步，实现信息整合，并确保数据安全。 这也是企业财务首次实现支付与信息管理应用的融合。“支企直联与企业管理系统的融合，能有效解决企业结算与信息管理环节的‘孤岛’问题，为企业电子商务化转型提供动力。”支付宝副总裁樊治铭表示。 自去年底试点以来，目前，包括国家开发银行、中国人寿保险公司、新泛联、租房宝、德邦物流、宅急送等企业都已先后使用支企直联作为资金结算应用方案。国家开发银行甚至已将支企直联应用于助学贷款项目，通过支企直联的代发功能，帮助国内上百万的贫困学子获得便捷的助学代款途径。 樊治铭还表示，未来支企直联将向所有管理软件服务商开放，应用范围将会覆盖零售连锁、服装鞋帽、保险物流、运输票务、生活服务等传统行业领域。 易观分析师张萌认为，在电子商务时代，商业模式发生巨大变化，传统的财务应用软件已难以满足这种需求，因此，第三方支付企业与管理软件服务提供商的创新协作将是大趋势。</description>
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            <title>ASH</title>
            <link>http://feedproxy.google.com/~r/OracleScratchpad/~3/pq0sVSomEl0/</link>
            <description>You may have noticed that I&amp;#8217;m having a little trouble keeping up to date on the blog at the moment &amp;#8211; I know I&amp;#8217;ve got several comments on Oracle Core to respond to but haven&amp;#8217;t had time to look at them yet. Very briefly, though, I thought I&amp;#8217;d point to a note that Doug Burns [...]&lt;img alt=&quot;&quot; border=&quot;0&quot; src=&quot;http://stats.wordpress.com/b.gif?host=jonathanlewis.wordpress.com&amp;amp;blog=491988&amp;amp;post=8126&amp;amp;subd=jonathanlewis&amp;amp;ref=&amp;amp;feed=1&quot; width=&quot;1&quot; height=&quot;1&quot; /&gt;</description>
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            <title>一起来每天学点经济学（1）</title>
            <link>http://yumianfeilong.com/html/2012/01/10/542.html</link>
            <description>前几天花600买了个Kindle4，本来打算看些计算机相关的pdf，不过看Pdf明显6寸的屏幕太小，翻页看十分的累人，无法调整合适的字体(适应屏幕等)，目前为止，也就几天，死机1次，自动关机1次；推荐大家不要购买6寸的阅读器，要买就买大的，最好和A4纸一般大的那种。
概况“每天学点经济学” 中一些有意思的理论。
收入的差距是如何形成的——二八定律 &amp;#8212; 这本书就符合该理论

二八定律‛存在于生活的方方面面，体现的是不平衡，差异化的问题。‚二八定律‛提醒我们去思索，怎样付出更少，既能获得个人成功，又能获得事业成功；怎样做得更少，既能享受幸福生活，又能实现生命价值。
在任何一组东西中，最重要的只占其中一小部分，约20%，其余80%尽管是多数，却是次要的
富人总是占少数，穷人总是占多数。他们两者的比例一般会保持在20：80左右。
20%的人占有80%的财富
两个人投入同样的8个小时，而产出的成果是绝对不一样的。员工工作了8小时获得的报酬是100元，而老板工作了8小时获得的报酬是1万元。
对一个企业来说，顾客中的约20%占有营业额的80%左右，而他们就是所谓的‚贵客‛。如果公司发现约20%的产品带来了约80%的利润，那么这家公司就应该集中精力予这些利润高的产品。
一本书约80%的价值，已经在约20%的页数中就已经阐明了，所以只要看完整部书的20%左右就可以了。当然这种看法不能适用于阅读所有的书籍，对有些书还是要从头到尾细细阅读的。
股市中有80%的投资者只想着怎么赚钱，仅有20%的投资者考虑到赔钱时的应变策略。但结果是只有那20%的投资者能长期赢利，而80%的投资者却常常赔钱。对于投资者来说，如果能吃透‚二八定律‛的精髓，把它应用于股市，赚钱就会变得很轻松。
你买，我也跟着买——示范效应
facebook?微博控？广告？买了kindle后悔了？物联网？大众点评网？
在日常生活中，我们常常会发现这种现象：当你的同事或者邻居买了某种商品，引得其他人羡慕的时候，你也会跟着购买这种商品。
由此可见，人们的消费行为不但受收入水平的影响，而且受其他人——主要是那些收入与其相近的人——消费行为的影响。这就是示范效应在起作用。
示范效应往往是双向的，这就是所谓‚坏‛榜样和‚好‛榜样所起的影响。从动态上看，示范效应最终会使少数成为主流。
消费者在认识和处理自己的收入与消费及其相互关系时，会和其他消费者相比较。例如，单位组织向贫困地区捐款，这对捐款的人来说当然是消费支出。有些人在这时不一定是看自己收入的高低，而是会先看看周围的人捐了多少。他们会根据自己的判断，觉得自己应该跟哪些人捐一样多。即使他的收入高点，他也不会多捐，他担心有出风头的嫌疑。即使他的收入较低，他也要向某一部分人看齐，甚至会‚打肿脸充胖子‛，他不愿意别人说他小气。从理论上讲，这里所表现的就是消费的示范效应。这就使我们看到消费者分成了许多群体，有许多消费者自觉不自觉地把自己算在一定的群体内，他的消费向这个群体内的其他人看齐。
在市场环境下，特别是在商品供应比较丰富的情况下，消费的示范效应表现得越来越明显，对市场供求关系起着比较大的影响，比如说有人看到别人的衣服漂亮，不管自己穿着好不好看，也要千方百计买一套穿在自己身上。‚名牌效应‛也是示范效应的典型现象，这完全可以解释为什么各种商家要不惜重金聘请‚明星‛做商品广告的缘故了。
在现代社会中，示范效应随时都左右着人们的经济生活，以及消费习惯。当消费者看到有些人因收入水平或消费习惯的变化而购买高档消费品时，尽管自己的收入没有变化，也可能仿效他人扩大自己的消费开支，或者在收入下降时也不愿减少自己的消费支出。示范效应甚至可以跨越国界，当某国居民接触到别国居民购买高档消费品时，他们可能会仿效别国居民从而改变自己的消费习惯。于是，消费的示范效应会造成低收入水平国家居民的消费需求远远超出他们正常的水平，从而导致储蓄不足和国际收支严重逆差等问题。
经济学研究的基石——经济学假设
假设永远不会成为现实的
理性经济人、资源稀缺、完全信息这三个基本的假设，为经济学的分析力、决策力提供了现实的前提条件和基础，因而我们在学习经济学的时候就必须了解这些假设
7年之痒 &amp;#8212; 扩展的边际效用
同样，边际效用递减的原理广泛地存在于日常生活中
边际效用是一个经济学概念。物品都有用，人们消费物品后获得效用。每多消费一个单位量的物品，都能多获得一些额外效用，这些额外效用就叫做边际效用。边际效用在应用的过程中，有一个递减的作用，叫做边际效用递减。
比如说工作，为什么新人的干劲很大，而过几年大家都意志消沉、尽显沧桑了？这就是因为如果一个人在一段时间以内一直做同样的工作，那么工作带给他的新鲜感和满足度是一直边际递减的
还有在婚姻中，之所以会有喜新厌旧的说法，就是由于边际效用递减的缘故。。那么对于生性喜欢追求刺激的人来说这样的生活太没有挑战意义，那么婚姻中的他很有可能通过外在异性的获得来填充这种需求。所以，保持婚姻持久的最好方法就是保持婚姻的新鲜度，让感情常新。
从高处看外包
外包的方式在企业中应用最为广泛。外包将企业解放出来以更专注于核心业务。外包合作伙伴为企业带来知识，增加后备管理时间。在执行者专注于其特长业务时，为其改善产品的整体质量。
但是，在现实应用中，有些企业或人对外包产生了错误的认识。他们认为‚把不懂的业务全部包出去已经成为企业管理新思潮‛。这是一个非常普遍又危险的误区。对于企业，自身对包出去的业务，可以‚不专‛，但不能‚不懂‛。‚不专‛与，‚不懂‛是有很大区别的。。如果企业对外包出去的业务‚不懂‛，很容易就会丧失对业务的监控、管理和对结果的考核能力，最终所得到的结果就会与初衷背道而驰。‚不懂业务‛从另一个层面来说是指不具备和服务供应商的议价能力，如此一来又如何达成降低成本的目的呢？
众多的研究表明，服务发包商与服务供应商之间最为良好的关系，并不是简单的买卖关系，而是一种合作伙伴关系。一旦外包服务合同关系成立，随之就要确立外包项目的管理模式，要建立诸如项目管理的组织结构、职责界定、交流机制和交流渠道等一系列的内容。如果是长期项目，还要有不断总结改进的机制。这一系列的复杂情况决定了简单的买卖关系很难产生成功的服务外包结果
破窗效应
有点类似示范效应；不过这个是不好的示范效应。
有一家理发店的窗户玻璃破了一个角，由于生意非常红火，老板没有时间去修理它。有一天夜里，一个小男孩路过理发店，看见破了一个角的窗户，就拿起一块石头砸过去，大半截玻璃稀里哗啦地掉了下来。等老板追出来的时候，小男孩已经跑远了。老板想换掉玻璃，可由于马上要过节了，理发的人很多，他非常忙，根本没时间。那扇掉了大半截玻璃的窗户依旧破裂着。过了几天，老板正在里边忙碌着，突然听见‚啪‛的一声，那扇半截玻璃被完全打碎了。等老板追出来的时候，只看见了两个跑远了的孩子的背影。
不得已老板抽出时间装了一块新的玻璃。为了防止玻璃再被打碎，老板只要有时间就站在窗户后面，企图逮住打碎玻璃的小孩。可令他奇怪的是，此后再也没有小孩来打碎他的窗户玻璃了。
这个小故事反映了这样一个道理：如果有人打坏了一栋建筑上的一块玻璃，又没有及时修复，别人就可能受到某些暗示性的纵容，去打碎更多的玻璃。久而久之，这些窗户就给人造成一种无序的感觉，在这种麻木不仁的氛围中，就会出现更多破坏性的行为。这就是政治学家威尔逊和犯罪学家凯琳提出的‚破窗效应‛
对于违反公司程序或廉政规定的行为，有关组织没有进行严肃处理，没有引起员工的重视，从而使类似行为再次甚至多次重复发生
而在一个很干净的地方，人们会很不好意思扔垃圾，但是一旦地上有垃圾出现，人们就会毫不犹豫地随地乱扔垃圾，丝毫不觉得羞愧
在公交车站，如果大家都井然有序地排队上车，又有多少人会不顾众人的文明举动和鄙夷眼光而贸然插队？与这相反，车辆尚未停稳，猴急的人们你推我拥，争先恐后，后来的人如果想排队上车，恐怕也没有耐心了。这些都是‚破窗效应‛的表现。
在管理实践中，管理者必须高度警觉那些看起来是个别的、轻微的‚小过错‛，并坚持严格依法管理。‚千里之堤，溃于蚁穴。‛不及时修好第一扇被打碎玻璃的窗户，就可能会带来无法弥补的损失。而如果能及时修复，则效果会非常明显
消费PK节俭——节俭悖论
现在明显是内需不足，产能过剩
18世纪，荷兰的曼德维尔博士在《蜜蜂的寓言》一书中讲过一个有趣的故事。一群蜜蜂为了追求豪华的生活，大肆挥霍，结果这个蜂群很快兴旺发达起来。而后来，由于这群蜜蜂改变了习惯，放弃了奢侈的生活，崇尚节俭，结果却导致了整个蜜蜂群体的衰败。
蜜蜂的故事说的就是‚节俭的逻辑‛，在经济学上叫‚节俭悖论‛。在西方经济学说史上，经济学家凯恩斯从故事中却看到了刺激消费和增加总需求对经济发展的积极作用，受此启发，他进一步论证了节俭悖论。
根据凯恩斯的总需求决定国民收入的理论，节俭对于经济增长并没有什么好处。实际上，这里蕴涵着一个矛盾：公众越节俭，降低消费，增加储蓄，往往会导致社会收入的减少。因为，人们的收入通常有两种用途——消费和储蓄，而消费与储蓄成反方向变动，即消费增加储蓄就会减少，消费减少储蓄就会增加。所以，储蓄与国民收入呈现反方向变动，储蓄增加国民收入就减少，储蓄减少国民收入就增加。根据这种看法，增加消费减少储蓄会通过增加总需求而引起国民收入增加，就会促进经济繁荣；反之，就会导致经济萧条。由此可以得出一个蕴涵逻辑矛盾的推论：节制消费增加储蓄会增加个人财富，对个人是件好事，但由于会减少国民收入引起萧条，对整个国民经济发展却是件坏事。
节俭悖论告诉我们：节俭减少了支出，迫使厂家削减产量，解雇工人，从而减少了收入，最终减少了储蓄。储蓄为个人致富铺平了道路，然而如果整个国家加大储蓄，将使整个社会陷入萧条和贫困。也就是说，在资源没有得到充分运用、经济没有达到潜在产出的情况下，只有社会每个成员都尽可能多地消费，整个经济才能走出低谷，迈向更加充分就业、经济繁荣的阶段。
总之，我们要辩证地看待节俭和消费的问题。像本书开头案例中王先生的父亲和儿子，他们的观点都对，但又都不全对。这里关键是一个度的把握问题。节俭是中华民族的传统美德，但并不是不去消费；而
消费也不是奢侈地去浪费。我们要大力提倡理性消费，也要理直气壮地反对盲目消费。
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