I think the lua one at https://svn.apache.org/repos/asf/infrastructure/site/trunk/content/dyn/closer.lua has replaced the cgi one from before. Also it looks like the lua one also supports `action=download` with a filename argument. So you could just do something like
wget http://www.apache.org/dyn/closer.lua?filename=hadoop/common/hadoop-2.7.1/hadoop-2.7.1.tar.gz&action=download Thanks Shivaram On Sun, Nov 1, 2015 at 3:18 PM, Nicholas Chammas <nicholas.cham...@gmail.com> wrote: > Oh, sweet! For example: > > http://www.apache.org/dyn/closer.cgi/hadoop/common/hadoop-2.7.1/hadoop-2.7.1.tar.gz?asjson=1 > > Thanks for sharing that tip. Looks like you can also use as_json (vs. > asjson). > > Nick > > > On Sun, Nov 1, 2015 at 5:32 PM Shivaram Venkataraman > <shiva...@eecs.berkeley.edu> wrote: >> >> On Sun, Nov 1, 2015 at 2:16 PM, Nicholas Chammas >> <nicholas.cham...@gmail.com> wrote: >> > OK, I’ll focus on the Apache mirrors going forward. >> > >> > The problem with the Apache mirrors, if I am not mistaken, is that you >> > cannot use a single URL that automatically redirects you to a working >> > mirror >> > to download Hadoop. You have to pick a specific mirror and pray it >> > doesn’t >> > disappear tomorrow. >> > >> > They don’t go away, especially http://mirror.ox.ac.uk , and in the us >> > the >> > apache.osuosl.org, osu being a where a lot of the ASF servers are kept. >> > >> > So does Apache offer no way to query a URL and automatically get the >> > closest >> > working mirror? If I’m installing HDFS onto servers in various EC2 >> > regions, >> > the best mirror will vary depending on my location. >> > >> Not sure if this is officially documented somewhere but if you pass >> '&asjson=1' you will get back a JSON which has a 'preferred' field set >> to the closest mirror. >> >> Shivaram >> > Nick >> > >> > >> > On Sun, Nov 1, 2015 at 12:25 PM Shivaram Venkataraman >> > <shiva...@eecs.berkeley.edu> wrote: >> >> >> >> I think that getting them from the ASF mirrors is a better strategy in >> >> general as it'll remove the overhead of keeping the S3 bucket up to >> >> date. It works in the spark-ec2 case because we only support a limited >> >> number of Hadoop versions from the tool. FWIW I don't have write >> >> access to the bucket and also haven't heard of any plans to support >> >> newer versions in spark-ec2. >> >> >> >> Thanks >> >> Shivaram >> >> >> >> On Sun, Nov 1, 2015 at 2:30 AM, Steve Loughran <ste...@hortonworks.com> >> >> wrote: >> >> > >> >> > On 1 Nov 2015, at 03:17, Nicholas Chammas >> >> > <nicholas.cham...@gmail.com> >> >> > wrote: >> >> > >> >> > https://s3.amazonaws.com/spark-related-packages/ >> >> > >> >> > spark-ec2 uses this bucket to download and install HDFS on clusters. >> >> > Is >> >> > it >> >> > owned by the Spark project or by the AMPLab? >> >> > >> >> > Anyway, it looks like the latest Hadoop install available on there is >> >> > Hadoop >> >> > 2.4.0. >> >> > >> >> > Are there plans to add newer versions of Hadoop for use by spark-ec2 >> >> > and >> >> > similar tools, or should we just be getting that stuff via an Apache >> >> > mirror? >> >> > The latest version is 2.7.1, by the way. >> >> > >> >> > >> >> > you should be grabbing the artifacts off the ASF and then verifying >> >> > their >> >> > SHA1 checksums as published on the ASF HTTPS web site >> >> > >> >> > >> >> > The problem with the Apache mirrors, if I am not mistaken, is that >> >> > you >> >> > cannot use a single URL that automatically redirects you to a working >> >> > mirror >> >> > to download Hadoop. You have to pick a specific mirror and pray it >> >> > doesn't >> >> > disappear tomorrow. >> >> > >> >> > >> >> > They don't go away, especially http://mirror.ox.ac.uk , and in the us >> >> > the >> >> > apache.osuosl.org, osu being a where a lot of the ASF servers are >> >> > kept. >> >> > >> >> > full list with availability stats >> >> > >> >> > http://www.apache.org/mirrors/ >> >> > >> >> > --------------------------------------------------------------------- To unsubscribe, e-mail: dev-unsubscr...@spark.apache.org For additional commands, e-mail: dev-h...@spark.apache.org
