That's really cool! I'm also curious about your experience with Flink. Did you find major obstacles that you needed to overcome for the integration? Is there some write-up / report available somewhere (maybe in JIRA) that discusses the integration? Are you using Flink's full operator set or do you compile everything into Map and Reduce?
Best, Fabian 2014-08-28 7:37 GMT+02:00 Aljoscha Krettek <aljos...@apache.org>: > Very nice indeed! How well is this tested? Can it already run all the > example queries you have? Can you say anything about the performance > of the different underlying execution engines? > > On Thu, Aug 28, 2014 at 12:58 AM, Stephan Ewen <se...@apache.org> wrote: > > Wow, that is impressive! > > > > > > On Thu, Aug 28, 2014 at 12:06 AM, Ufuk Celebi <u...@apache.org> wrote: > > > >> Awesome, indeed! Looking forward to trying it out. :) > >> > >> > >> On Wed, Aug 27, 2014 at 10:52 PM, Sebastian Schelter <s...@apache.org> > >> wrote: > >> > >> > Awesome! > >> > > >> > > >> > 2014-08-27 13:49 GMT-07:00 Leonidas Fegaras <fega...@cse.uta.edu>: > >> > > >> > > Hello, > >> > > I would like to let you know that Apache MRQL can now run queries on > >> > Flink. > >> > > MRQL is a query processing and optimization system for large-scale, > >> > > distributed data analysis, built on top of Apache Hadoop/map-reduce, > >> > > Hama, Spark, and now Flink. MRQL queries are SQL-like but not SQL. > >> > > They can work on complex, user-defined data (such as JSON and XML) > and > >> > > can express complex queries (such as pagerank and matrix > >> factorization). > >> > > > >> > > MRQL on Flink has been tested on local mode and on a small Yarn > >> cluster. > >> > > > >> > > Here are the directions on how to build the latest MRQL snapshot: > >> > > > >> > > git clone > https://git-wip-us.apache.org/repos/asf/incubator-mrql.git > >> > mrql > >> > > cd mrql > >> > > mvn -Pyarn clean install > >> > > > >> > > To make it run on your cluster, edit conf/mrql-env.sh and set the > >> > > Java, the Hadoop, and the Flink installation directories. > >> > > > >> > > Here is how to run PageRank. First, you need to generate a random > >> > > graph and store it in a file using the MRQL query RMAT.mrql: > >> > > > >> > > bin/mrql.flink -local queries/RMAT.mrql 1000 10000 > >> > > > >> > > This will create a graph with 1K nodes and 10K edges using the RMAT > >> > > algorithm, will remove duplicate edges, and will store the graph in > >> > > the binary file graph.bin. Then, run PageRank on Flink mode using: > >> > > > >> > > bin/mrql.flink -local queries/pagerank.mrql > >> > > > >> > > To run MRQL/Flink on a Yarn cluster, first start the Flink container > >> > > on Yarn by running the script yarn-session.sh, such as: > >> > > > >> > > ${FLINK_HOME}/bin/yarn-session.sh -n 8 > >> > > > >> > > This will print the name of the Flink JobManager, which can be used > in: > >> > > > >> > > export FLINK_MASTER=name-of-the-Flink-JobManager > >> > > bin/mrql.flink -dist -nodes 16 queries/RMAT.mrql 1000000 10000000 > >> > > > >> > > This will create a graph with 1M nodes and 10M edges using RMAT on > 16 > >> > > nodes (slaves). You can adjust these numbers to fit your cluster. > >> > > Then, run PageRank using: > >> > > > >> > > bin/mrql.flink -dist -nodes 16 queries/pagerank.mrql > >> > > > >> > > The MRQL project page is at: http://mrql.incubator.apache.org/ > >> > > > >> > > Let me know if you have any questions. > >> > > Leonidas Fegaras > >> > > > >> > > > >> > > >> >
