HTTP/2 302 server: nginx date: Fri, 08 Aug 2025 14:28:25 GMT content-type: text/plain; charset=utf-8 content-length: 0 x-archive-redirect-reason: found capture at 20130509212851 location: https://web.archive.org/web/20130509212851/https://answers.oreilly.com/rss/tags/cluster/ server-timing: captures_list;dur=0.823224, exclusion.robots;dur=0.019735, exclusion.robots.policy;dur=0.009388, esindex;dur=0.010429, cdx.remote;dur=126.526866, LoadShardBlock;dur=574.854609, PetaboxLoader3.datanode;dur=367.595479, PetaboxLoader3.resolve;dur=161.386011 x-app-server: wwwb-app225 x-ts: 302 x-tr: 727 server-timing: TR;dur=0,Tw;dur=0,Tc;dur=0 set-cookie: wb-p-SERVER=wwwb-app225; path=/ x-location: All x-rl: 0 x-na: 0 x-page-cache: MISS server-timing: MISS x-nid: DigitalOcean referrer-policy: no-referrer-when-downgrade permissions-policy: interest-cohort=() HTTP/2 200 server: nginx date: Fri, 08 Aug 2025 14:28:27 GMT content-type: text/xml; charset=UTF-8 x-archive-orig-date: Thu, 09 May 2013 21:28:51 GMT x-archive-orig-server: Apache x-archive-orig-expires: Thu 09 May 2013 09:28:52 PM GMT GMT x-archive-orig-cache-control: must-revalidate, post-check=0, pre-check=0 x-archive-orig-pragma: public x-archive-orig-set-cookie: answers_session_id=db2e374a249d4ac690b0ed508bcdb197; path=/; domain=.oreilly.com; httponly x-archive-orig-set-cookie: answers_session_id=db2e374a249d4ac690b0ed508bcdb197; path=/; domain=.oreilly.com; httponly x-archive-orig-connection: close cache-control: max-age=1800 x-archive-guessed-content-type: text/xml x-archive-guessed-charset: utf-8 memento-datetime: Thu, 09 May 2013 21:28:51 GMT link: ; rel="original", ; rel="timemap"; type="application/link-format", ; rel="timegate", ; rel="first memento"; datetime="Thu, 09 May 2013 21:28:51 GMT", ; rel="memento"; datetime="Thu, 09 May 2013 21:28:51 GMT", ; rel="next memento"; datetime="Wed, 09 Oct 2013 03:57:17 GMT", ; rel="last memento"; datetime="Wed, 09 Oct 2013 03:57:17 GMT" content-security-policy: default-src 'self' 'unsafe-eval' 'unsafe-inline' data: blob: archive.org web.archive.org web-static.archive.org wayback-api.archive.org athena.archive.org analytics.archive.org pragma.archivelab.org wwwb-events.archive.org x-archive-src: WIDE-20130509201712-crawl412/WIDE-20130509203744-00274.warc.gz server-timing: captures_list;dur=0.547664, exclusion.robots;dur=0.020135, exclusion.robots.policy;dur=0.009743, esindex;dur=0.010174, cdx.remote;dur=32.394333, LoadShardBlock;dur=210.011194, PetaboxLoader3.datanode;dur=818.970736, PetaboxLoader3.resolve;dur=389.237329, load_resource;dur=1084.241742 x-app-server: wwwb-app225 x-ts: 200 x-tr: 1357 server-timing: TR;dur=0,Tw;dur=0,Tc;dur=0 x-location: All x-rl: 0 x-na: 0 x-page-cache: MISS server-timing: MISS x-nid: DigitalOcean referrer-policy: no-referrer-when-downgrade permissions-policy: interest-cohort=() https://answers.oreilly.com/tag/cluster Mon, 02 May 2011 18:20:21 +0000 60 https://answers.oreilly.com/topic/2676-how-to-work-with-mongodbs-shell-interface/ Mon, 02 May 2011 18:20:21 +0000 https://answers.oreilly.com/topic/2676-how-to-work-with-mongodbs-shell-interface/ https://answers.oreilly.com/topic/1524-how-to-create-a-vmware-cluster/ Mon, 24 May 2010 18:14:06 +0000 https://answers.oreilly.com/topic/1524-how-to-create-a-vmware-cluster/ https://answers.oreilly.com/topic/852-big-data-a-link-roundup/ Tue, 08 Dec 2009 08:07:19 +0000 https://answers.oreilly.com/topic/852-big-data-a-link-roundup/ https://answers.oreilly.com/topic/462-practical-techniques-for-developing-with-pig-and-hadoop/ There are some practical techniques that are worth knowing about when you are developing and running Pig programs. This section covers some of them.ParallelismWhen running in Hadoop mode... Wed, 28 Oct 2009 20:46:33 +0000 https://answers.oreilly.com/topic/462-practical-techniques-for-developing-with-pig-and-hadoop/ https://answers.oreilly.com/topic/460-how-to-benchmark-a-hadoop-cluster/ Is the cluster set up correctly? The best way to answer this question is empirically: run some jobs and confirm that you get the expected results. Benchmarks make good tests, as you also... Wed, 28 Oct 2009 20:24:37 +0000 https://answers.oreilly.com/topic/460-how-to-benchmark-a-hadoop-cluster/ https://answers.oreilly.com/topic/459-anatomy-of-a-mapreduce-job-run-with-hadoop/ You can run a MapReduce job with a single line of code: JobClient.runJob(conf). It’s very short, but it conceals a great deal of processing behind the scenes. This section uncov... Wed, 28 Oct 2009 20:16:06 +0000 https://answers.oreilly.com/topic/459-anatomy-of-a-mapreduce-job-run-with-hadoop/ https://answers.oreilly.com/topic/455-get-started-analyzing-data-with-hadoop/ To take advantage of the parallel processing that Hadoop provides, we need to express our query as a MapReduce job. After some local, small-scale testing, we will be able to run it on a ... Wed, 28 Oct 2009 19:14:33 +0000 https://answers.oreilly.com/topic/455-get-started-analyzing-data-with-hadoop/