Magpie contains a number of scripts for running Big Data software in HPC environments. Thus far, Hadoop, Spark, Hbase, Storm, Pig, Mahout, Phoenix, Kafka, Tachyon, Zeppelin, and Zookeeper are supported. It currently supports running over the parallel file system Lustre and running over any generic network filesytem. There is scheduler/resource manager support for Slurm, Moab, Torque, and LSF.
Some of the features presently supported:
- Run jobs interactively or via scripts.
- Run Mapreduce 1.0 or 2.0 jobs via Hadoop 1.0 or 2.0
- Run against a number of filesystem options, such as HDFS, HDFS over Lustre, HDFS over a generic network filesystem, Lustre directly, or a generic network filesystem.
- Take advantage of SSDs/NVRAM for local caching if available
- Run the UDA Infiniband optimization plugin for Hadoop.
- Make decent optimizations for your hardware
The basic idea behind these scripts are to:
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Submit a Magpie batch script to allocate nodes on a cluster using your HPC scheduler/resource manager. Slurm, Moab+Slurm, Moab+Torque and LSF+mpirun are currently supported.
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The batch script will create configuration files for all appropriate projects (Hadoop, Spark, etc.) The configuration files will be setup so the rank 0 node is the "master". All compute nodes will have configuration files created that point to the node designated as the master server.
The configuration files will be populated with values for your filesystem choice and the hardware that exists in your cluster. Reasonable attempts are made to determine optimal values for your system and hardware (they are almost certainly better than the default values). A number of options exist in the batch scripts to adjust these values for individual jobs.
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Launch daemons on all nodes. The rank 0 node will run master daemons, such as the Hadoop Namenode. All remaining nodes will run appropriate slave daemons, such as the Hadoop Datanodes.
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Now you have a mini big data cluster to do whatever you want. You can log into the master node and interact with your mini big data cluster however you want. Or you could have Magpie run a script to execute your big data calculation instead.
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When your job completes or your allocation time has run out, Magpie will cleanup your job by tearing down daemons. When appropriate, Magpie may also do some additional cleanup work to hopefully make re-execution on later runs cleaner and faster.
The following packages and their versions have been tested for minimal support in Magpie. Please see full README for additional details.
Versions not listed below should work with Magpie if the configuration/setup of those versions is compatible with the versions listed below.
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- Requires patch against binary distro's scripts, no re-compilation needed
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- ^ - Requires patch against source, requires re-compilation
Hadoop - 1.2.1+, 2.1.0-beta+, 2.2.0+, 2.3.0+, 2.4.0+, 2.4.1+, 2.5.0+, 2.5.1+, 2.5.2+, 2.6.0+, 2.6.1+, 2.6.2+, 2.6.3+, 2.6.4+, 2.6.5+, 2.7.0+, 2.7.1+, 2.7.2+, 2.7.3+
Spark - 0.9.1-bin-hadoop2+, 0.9.2-bin-hadoop2+, 1.0.0-bin-hadoop2^, 1.1.0-bin-hadoop2.3+, 1.1.0-bin-hadoop2.4+, 1.1.1-bin-hadoop2.3+, 1.1.1-bin-hadoop2.4+, 1.2.0-bin-hadoop2.3+, 1.2.0-bin-hadoop2.4+, 1.2.1-bin-hadoop2.3+, 1.2.1-bin-hadoop2.4+, 1.2.2-bin-hadoop2.3+, 1.2.2-bin-hadoop2.4+, 1.3.0-bin-hadoop2.3+, 1.3.0-bin-hadoop2.4+, 1.3.1-bin-hadoop2.3+, 1.3.1-bin-hadoop2.4+, 1.3.1-bin-hadoop2.6+, 1.4.0-bin-hadoop2.3+, 1.4.0-bin-hadoop2.4+, 1.4.0-bin-hadoop2.6+, 1.4.1-bin-hadoop2.3+, 1.4.1-bin-hadoop2.4+, 1.4.1-bin-hadoop2.6+, 1.5.0-bin-hadoop2.6+, 1.5.1-bin-hadoop2.6+, 1.5.2-bin-hadoop2.6+, 1.6.0-bin-hadoop2.6+, 1.6.1-bin-hadoop2.6+, 1.6.2-bin-hadoop2.6+, 1.6.3-bin-hadoop2.6+, 2.0.0-bin-hadoop2.6+, 2.0.0-bin-hadoop2.7+, 2.0.1-bin-hadoop2.6+, 2.0.1-bin-hadoop2.7+, 2.0.2-bin-hadoop2.6+, 2.0.2-bin-hadoop2.7+, 2.1.0-bin-hadoop2.6+, 2.1.0-bin-hadoop2.7+
Hbase - 0.96.1.1-hadoop2+, 0.98.0-hadoop2+, 0.98.1-hadoop2+, 0.98.2-hadoop2+, 0.98.3-hadoop2+, 0.98.4-hadoop2+, 0.98.5-hadoop2+, 0.98.6-hadoop2+, 0.98.6.1-hadoop2+, 0.98.7-hadoop2+, 0.98.8-hadoop2+, 0.98.9-hadoop2+, 0.98.10-hadoop2+, 0.98.10.1-hadoop2+, 0.98.11-hadoop2+, 0.98.12-hadoop2+, 0.98.12.1-hadoop2+, 0.98.13-hadoop2+, 0.98.14-hadoop2+, 0.98.15-hadoop2+, 0.98.16-hadoop2+, 0.98.16.1-hadoop2+, 0.98.17-hadoop2+, 0.98.18-hadoop2+, 0.98.19-hadoop2+, 0.98.20-hadoop2+, 0.98.21-hadoop2+, 0.98.22-hadoop2+, 0.98.23-hadoop2+, 0.98.24-hadoop2+, 0.99.0+, 0.99.1+, 0.99.2+, 1.0.0+, 1.0.1+, 1.0.1.1+, 1.0.2+, 1.0.3+, 1.1.0+, 1.1.0.1+, 1.1.1+, 1.1.2+, 1.1.3+, 1.1.4+, 1.1.5+, 1.1.6+, 1.1.7+, 1.1.8+, 1.2.0+, 1.2.1+, 1.2.2+, 1.2.3+, 1.2.4+, 1.3.0+
Pig - 0.12.0, 0.12.1, 0.13.0, 0.14.0, 0.15.0, 0.16.0 [PigNote]
Zookeeper - 3.4.0, 3.4.1, 3.4.2, 3.4.3, 3.4.4, 3.4.5, 3.4.6, 3.4.7, 3.4.8, 3.4.9
Storm - 0.9.2^, 0.9.3, 0.9.4, 0.9.5, 0.9.6, 0.10.0, 0.10.1, 0.10.2, 1.0.0, 1.0.1, 1.0.2
Mahout - 0.11.0+, 0.11.1+, 0.11.2+, 0.12.0+, 0.12.1+, 0.12.2
Phoenix - 4.5.0-Hbase-1.0+, 4.5.0-Hbase-1.1+, 4.5.1-Hbase-1.0+, 4.5.1-Hbase-1.1+, 4.5.2-HBase-1.0+, 4.5.2-HBase-1.1+, 4.6.0-Hbase-1.0+, 4.6.0-Hbase-1.1, 4.7.0-Hbase-1.0+, 4.7.0-Hbase-1.1, 4.8.0-Hbase-1.0+, 4.8.0-Hbase-1.1, 4.8.0-Hbase-1.2, 4.8.1-Hbase-1.0+, 4.8.1-Hbase-1.1, 4.8.1-Hbase-1.2, 4.8.2-Hbase-1.0+, 4.8.2-Hbase-1.1, 4.8.2-Hbase-1.2, 4.9.0-Hbase-1.1, 4.9.0-Hbase-1.2
UDA/uda-plugin - 3.3.2-0
Kafka - 2.11-0.9.0.0
Zeppelin - 0.5.6-incubating, 0.6.0, 0.6.1, 0.6.2
Tachyon - 0.6.0+, 0.6.1+ [TachyonNote]
[PigNote] - Default Pig build for versions 0.12.X is Hadoop 0.20 or 1.X, so recompilation may be necessary depending on your environment.
[TachyonNote] - Default Tachyon build is against Hadoop 1.0.4 and Spark may be built against non-0.6.X builds. Recompilation of Tachyon & Spark may be needed depending on your environment. See README for more details
All documentation is in the 'doc' subdirectory. Please see the doc/README file as a starting point. It provides general instructions as well as pointers to documentation for each project, setup requirements, ability to do local configurations, tips & tricks, and more information.
Magpie is release under a GPL license. For more information, see the COPYING file.
LLNL-CODE-644248