Re: Inconsistent times in Hadoop web interface
Ahh... I don't manage my cluster but you were spot on. Now I know who to follow up with. Thanks!! Yipeng On Mon, Dec 27, 2010 at 3:55 PM, Harsh J qwertyman...@gmail.com wrote: Hey, On Mon, Dec 27, 2010 at 10:44 AM, yipeng yip...@gmail.com wrote: Hi guys, I am having some inconsistent timing in the web interface. The job finish time as below is 47 secs but the Map Reduce took significantly longer. I don't think I did anything that could have caused this. Any ideas what might have? Are your cluster nodes' clocks synced right (via ntpd, etc.)? -- Harsh J www.harshj.com
Re: Hadoop/Elastic MR on AWS
We recently crossed this bridge and here are some insights. We did an extensive study comparing costs and benchmarking local vs EMR for our current needs and future trend. - Scalability you get with EMR is unmatched although you need to look at your requirement and decide this is something you need. - When using EMR its cheaper to use reserved instances vs nodes on the fly. You can always add more nodes when required. I suggest looking at your current computing needs and reserve instances for a year or two and use these to run EMR and add nodes at peak needs. In your cost estimation you will need to factor in the data transfer time/costs unless you are dealing with public datasets on S3 - EMR fared similar to local cluster on CPU benchmarks (we used MRBench to benchmark map/reduce) however IO benchmarks were slow on EMR (used DFSIO benchmark). For IO intensive jobs you will need to add more nodes to compensate this. - When compared to local cluster, you will need to factor the time it takes for the EMR cluster to setup when starting a job. This like data transfer time, cluster replication time etc - EMR API is very flexible however you will need to build a custom interface on top of it to suit your job management and monitoring needs - EMR bootstrap actions can satisfy most of your native lib needs so no drawbacks there. -- Sudhir On 12/26/10 5:26 AM, common-user-digest-h...@hadoop.apache.org common-user-digest-h...@hadoop.apache.org wrote: From: Otis Gospodnetic otis_gospodne...@yahoo.com Date: Fri, 24 Dec 2010 04:41:46 -0800 (PST) To: common-user@hadoop.apache.org Subject: Re: Hadoop/Elastic MR on AWS Hello Amandeep, - Original Message From: Amandeep Khurana ama...@gmail.com To: common-user@hadoop.apache.org Sent: Fri, December 10, 2010 1:14:45 AM Subject: Re: Hadoop/Elastic MR on AWS Mark, Using EMR makes it very easy to start a cluster and add/reduce capacity as and when required. There are certain optimizations that make EMR an attractive choice as compared to building your own cluster out. Using EMR Could you please point out what optimizations you are referring to? Thanks, Otis Sematext :: http://sematext.com/ :: Solr - Lucene - Nutch - Hadoop - HBase Hadoop ecosystem search :: http://search-hadoop.com/ also ensures you are using a production quality, stable system backed by the EMR engineers. You can always use bootstrap actions to put your own tweaked version of Hadoop in there if you want to do that. Also, you don't have to tear down your cluster after every job. You can set the alive option when you start your cluster and it will stay there even after your Hadoop job completes. If you face any issues with EMR, send me a mail offline and I'll be happy to help. -Amandeep On Thu, Dec 9, 2010 at 9:47 PM, Mark static.void@gmail.com wrote: Does anyone have any thoughts/experiences on running Hadoop in AWS? What are some pros/cons? Are there any good AMI's out there for this? Thanks for any advice. iCrossing Privileged and Confidential Information This email message is for the sole use of the intended recipient(s) and may contain confidential and privileged information of iCrossing. Any unauthorized review, use, disclosure or distribution is prohibited. If you are not the intended recipient, please contact the sender by reply email and destroy all copies of the original message.
Re: Hadoop/Elastic MR on AWS
Hi Sudhir, Can you publish your findings around pricing, and how you calculated the various aspects? This is great information. Thanks Dave Viner On Mon, Dec 27, 2010 at 10:17 AM, Sudhir Vallamkondu sudhir.vallamko...@icrossing.com wrote: We recently crossed this bridge and here are some insights. We did an extensive study comparing costs and benchmarking local vs EMR for our current needs and future trend. - Scalability you get with EMR is unmatched although you need to look at your requirement and decide this is something you need. - When using EMR its cheaper to use reserved instances vs nodes on the fly. You can always add more nodes when required. I suggest looking at your current computing needs and reserve instances for a year or two and use these to run EMR and add nodes at peak needs. In your cost estimation you will need to factor in the data transfer time/costs unless you are dealing with public datasets on S3 - EMR fared similar to local cluster on CPU benchmarks (we used MRBench to benchmark map/reduce) however IO benchmarks were slow on EMR (used DFSIO benchmark). For IO intensive jobs you will need to add more nodes to compensate this. - When compared to local cluster, you will need to factor the time it takes for the EMR cluster to setup when starting a job. This like data transfer time, cluster replication time etc - EMR API is very flexible however you will need to build a custom interface on top of it to suit your job management and monitoring needs - EMR bootstrap actions can satisfy most of your native lib needs so no drawbacks there. -- Sudhir On 12/26/10 5:26 AM, common-user-digest-h...@hadoop.apache.org common-user-digest-h...@hadoop.apache.org wrote: From: Otis Gospodnetic otis_gospodne...@yahoo.com Date: Fri, 24 Dec 2010 04:41:46 -0800 (PST) To: common-user@hadoop.apache.org Subject: Re: Hadoop/Elastic MR on AWS Hello Amandeep, - Original Message From: Amandeep Khurana ama...@gmail.com To: common-user@hadoop.apache.org Sent: Fri, December 10, 2010 1:14:45 AM Subject: Re: Hadoop/Elastic MR on AWS Mark, Using EMR makes it very easy to start a cluster and add/reduce capacity as and when required. There are certain optimizations that make EMR an attractive choice as compared to building your own cluster out. Using EMR Could you please point out what optimizations you are referring to? Thanks, Otis Sematext :: http://sematext.com/ :: Solr - Lucene - Nutch - Hadoop - HBase Hadoop ecosystem search :: http://search-hadoop.com/ also ensures you are using a production quality, stable system backed by the EMR engineers. You can always use bootstrap actions to put your own tweaked version of Hadoop in there if you want to do that. Also, you don't have to tear down your cluster after every job. You can set the alive option when you start your cluster and it will stay there even after your Hadoop job completes. If you face any issues with EMR, send me a mail offline and I'll be happy to help. -Amandeep On Thu, Dec 9, 2010 at 9:47 PM, Mark static.void@gmail.com wrote: Does anyone have any thoughts/experiences on running Hadoop in AWS? What are some pros/cons? Are there any good AMI's out there for this? Thanks for any advice. iCrossing Privileged and Confidential Information This email message is for the sole use of the intended recipient(s) and may contain confidential and privileged information of iCrossing. Any unauthorized review, use, disclosure or distribution is prohibited. If you are not the intended recipient, please contact the sender by reply email and destroy all copies of the original message.
Re: Hadoop/Elastic MR on AWS
Thank you for sharing. Sent from my mobile. Please excuse the typos. On 2010-12-27, at 11:18 AM, Sudhir Vallamkondu sudhir.vallamko...@icrossing.com wrote: We recently crossed this bridge and here are some insights. We did an extensive study comparing costs and benchmarking local vs EMR for our current needs and future trend. - Scalability you get with EMR is unmatched although you need to look at your requirement and decide this is something you need. - When using EMR its cheaper to use reserved instances vs nodes on the fly. You can always add more nodes when required. I suggest looking at your current computing needs and reserve instances for a year or two and use these to run EMR and add nodes at peak needs. In your cost estimation you will need to factor in the data transfer time/costs unless you are dealing with public datasets on S3 - EMR fared similar to local cluster on CPU benchmarks (we used MRBench to benchmark map/reduce) however IO benchmarks were slow on EMR (used DFSIO benchmark). For IO intensive jobs you will need to add more nodes to compensate this. - When compared to local cluster, you will need to factor the time it takes for the EMR cluster to setup when starting a job. This like data transfer time, cluster replication time etc - EMR API is very flexible however you will need to build a custom interface on top of it to suit your job management and monitoring needs - EMR bootstrap actions can satisfy most of your native lib needs so no drawbacks there. -- Sudhir On 12/26/10 5:26 AM, common-user-digest-h...@hadoop.apache.org common-user-digest-h...@hadoop.apache.org wrote: From: Otis Gospodnetic otis_gospodne...@yahoo.com Date: Fri, 24 Dec 2010 04:41:46 -0800 (PST) To: common-user@hadoop.apache.org Subject: Re: Hadoop/Elastic MR on AWS Hello Amandeep, - Original Message From: Amandeep Khurana ama...@gmail.com To: common-user@hadoop.apache.org Sent: Fri, December 10, 2010 1:14:45 AM Subject: Re: Hadoop/Elastic MR on AWS Mark, Using EMR makes it very easy to start a cluster and add/reduce capacity as and when required. There are certain optimizations that make EMR an attractive choice as compared to building your own cluster out. Using EMR Could you please point out what optimizations you are referring to? Thanks, Otis Sematext :: http://sematext.com/ :: Solr - Lucene - Nutch - Hadoop - HBase Hadoop ecosystem search :: http://search-hadoop.com/ also ensures you are using a production quality, stable system backed by the EMR engineers. You can always use bootstrap actions to put your own tweaked version of Hadoop in there if you want to do that. Also, you don't have to tear down your cluster after every job. You can set the alive option when you start your cluster and it will stay there even after your Hadoop job completes. If you face any issues with EMR, send me a mail offline and I'll be happy to help. -Amandeep On Thu, Dec 9, 2010 at 9:47 PM, Mark static.void@gmail.com wrote: Does anyone have any thoughts/experiences on running Hadoop in AWS? What are some pros/cons? Are there any good AMI's out there for this? Thanks for any advice. iCrossing Privileged and Confidential Information This email message is for the sole use of the intended recipient(s) and may contain confidential and privileged information of iCrossing. Any unauthorized review, use, disclosure or distribution is prohibited. If you are not the intended recipient, please contact the sender by reply email and destroy all copies of the original message.
UI doesn't work
Hi, I get Error 404 when I try to use hadoop UI to monitor my job execution. I'm using Hadoop-0.20.2 and the following are parts of my configuration files. in Core-site.xml: namefs.default.name/name valuehdfs://speed.cs.ucsb.edu:9000/value in mapred-site.xml: namemapred.job.tracker/name valuespeed.cs.ucsb.edu:9001/value when I try to open: http://speed.cs.ucsb.edu:50070/ I get the 404 Error. Any ideas? Thank you, Maha
Re: UI doesn't work
Two quick questions first. Is the job tracker running on that machine? Is there a firewall in the way? James Sent from my mobile. Please excuse the typos. On 2010-12-27, at 4:46 PM, maha m...@umail.ucsb.edu wrote: Hi, I get Error 404 when I try to use hadoop UI to monitor my job execution. I'm using Hadoop-0.20.2 and the following are parts of my configuration files. in Core-site.xml: namefs.default.name/name valuehdfs://speed.cs.ucsb.edu:9000/value in mapred-site.xml: namemapred.job.tracker/name valuespeed.cs.ucsb.edu:9001/value when I try to open: http://speed.cs.ucsb.edu:50070/ I get the 404 Error. Any ideas? Thank you, Maha
Hadoop RPC call response post processing
Hi All, I'm browsing the RPC code since quite a while now trying to find any entry point / interceptor slot that allows me to handle a RPC call response writable after it was send over the wire. Does anybody has an idea how break into the RPC code from outside. All the interesting methods are private. :( Background: Heavy use of the RPC allocates hugh amount of Writable objects. We saw in multiple systems that the garbage collect can get so busy that the jvm almost freezes for seconds. Things like zookeeper sessions time out in that cases. My idea is to create an object pool for writables. Borrowing an object from the pool is simple since this happen in our custom code, though we do know when the writable return was send over the wire and can be returned into the pool. A dirty hack would be to overwrite the write(out) method in the writable, assuming that is the last thing done with the writable, though turns out that this method is called in other cases too, e.g. to measure throughput. Any ideas? Thanks, Stefan
Re: UI doesn't work
I remember facing such an issue with the JT (50030) once. None of the jsp pages would load, 'cept the index. It was some odd issue with the webapps not getting loaded right while startup. Don't quite remember how it got solved. Did you do any ant operation on your release copy of Hadoop prior to starting it, by the way? On Tue, Dec 28, 2010 at 5:15 AM, maha m...@umail.ucsb.edu wrote: Hi, I get Error 404 when I try to use hadoop UI to monitor my job execution. I'm using Hadoop-0.20.2 and the following are parts of my configuration files. in Core-site.xml: namefs.default.name/name valuehdfs://speed.cs.ucsb.edu:9000/value in mapred-site.xml: namemapred.job.tracker/name valuespeed.cs.ucsb.edu:9001/value when I try to open: http://speed.cs.ucsb.edu:50070/ I get the 404 Error. Any ideas? Thank you, Maha -- Harsh J www.harshj.com
Re: Hadoop RPC call response post processing
Hi Stefan, Sounds interesting. Maybe you're looking for o.a.h.ipc.Server$Responder? -Todd On Mon, Dec 27, 2010 at 8:07 PM, Stefan Groschupf s...@101tec.com wrote: Hi All, I'm browsing the RPC code since quite a while now trying to find any entry point / interceptor slot that allows me to handle a RPC call response writable after it was send over the wire. Does anybody has an idea how break into the RPC code from outside. All the interesting methods are private. :( Background: Heavy use of the RPC allocates hugh amount of Writable objects. We saw in multiple systems that the garbage collect can get so busy that the jvm almost freezes for seconds. Things like zookeeper sessions time out in that cases. My idea is to create an object pool for writables. Borrowing an object from the pool is simple since this happen in our custom code, though we do know when the writable return was send over the wire and can be returned into the pool. A dirty hack would be to overwrite the write(out) method in the writable, assuming that is the last thing done with the writable, though turns out that this method is called in other cases too, e.g. to measure throughput. Any ideas? Thanks, Stefan -- Todd Lipcon Software Engineer, Cloudera
Re: UI doesn't work
maha wrote: Hi, I get Error 404 when I try to use hadoop UI to monitor my job execution. I'm using Hadoop-0.20.2 and the following are parts of my configuration files. in Core-site.xml: namefs.default.name/name valuehdfs://speed.cs.ucsb.edu:9000/value in mapred-site.xml: namemapred.job.tracker/name valuespeed.cs.ucsb.edu:9001/value when I try to open: http://speed.cs.ucsb.edu:50070/ I get the 404 Error. Any ideas? Thank you, Maha Check the logs of namenode and jobtracker and post their listings. Best Regards Adarsh
Re: Hadoop RPC call response post processing
I would be very surprised if allocation itself is the problem as opposed to good old fashioned excess copying. It is very hard to write an allocator faster than the java generational gc, especially if you are talking about objects that are ephemeral. Have you looked at the tenuring distribution? On Mon, Dec 27, 2010 at 8:07 PM, Stefan Groschupf s...@101tec.com wrote: Hi All, I'm browsing the RPC code since quite a while now trying to find any entry point / interceptor slot that allows me to handle a RPC call response writable after it was send over the wire. Does anybody has an idea how break into the RPC code from outside. All the interesting methods are private. :( Background: Heavy use of the RPC allocates hugh amount of Writable objects. We saw in multiple systems that the garbage collect can get so busy that the jvm almost freezes for seconds. Things like zookeeper sessions time out in that cases. My idea is to create an object pool for writables. Borrowing an object from the pool is simple since this happen in our custom code, though we do know when the writable return was send over the wire and can be returned into the pool. A dirty hack would be to overwrite the write(out) method in the writable, assuming that is the last thing done with the writable, though turns out that this method is called in other cases too, e.g. to measure throughput. Any ideas? Thanks, Stefan
