Hi, actually, what do you want to know about Flink SQL? Aljoscha
On Sat, Jun 6, 2015 at 2:22 AM, Hawin Jiang <hawin.ji...@gmail.com> wrote: > Thanks all > > Actually, I want to know more info about Flink SQL and Flink performance > Here is the Spark benchmark. Maybe you already saw it before. > https://amplab.cs.berkeley.edu/benchmark/ > > Thanks. > > > > Best regards > Hawin > > > > On Fri, Jun 5, 2015 at 1:35 AM, Fabian Hueske <fhue...@gmail.com> wrote: >> >> If you want to append data to a data set that is store as files (e.g., on >> HDFS), you can go for a directory structure as follows: >> >> dataSetRootFolder >> - part1 >> - 1 >> - 2 >> - ... >> - part2 >> - 1 >> - ... >> - partX >> >> Flink's file format supports recursive directory scans such that you can >> add new subfolders to dataSetRootFolder and read the full data set. >> >> 2015-06-05 9:58 GMT+02:00 Aljoscha Krettek <aljos...@apache.org>: >>> >>> Hi, >>> I think the example could be made more concise by using the Table API. >>> http://ci.apache.org/projects/flink/flink-docs-master/libs/table.html >>> >>> Please let us know if you have questions about that, it is still quite >>> new. >>> >>> On Fri, Jun 5, 2015 at 9:03 AM, hawin <hawin.ji...@gmail.com> wrote: >>> > Hi Aljoscha >>> > >>> > Thanks for your reply. >>> > Do you have any tips for Flink SQL. >>> > I know that Spark support ORC format. How about Flink SQL? >>> > BTW, for TPCHQuery10 example, you have implemented it by 231 lines of >>> > code. >>> > How to make that as simple as possible by flink. >>> > I am going to use Flink in my future project. Sorry for so many >>> > questions. >>> > I believe that you guys will make a world difference. >>> > >>> > >>> > @Chiwan >>> > You made a very good example for me. >>> > Thanks a lot >>> > >>> > >>> > >>> > >>> > >>> > -- >>> > View this message in context: >>> > http://apache-flink-user-mailing-list-archive.2336050.n4.nabble.com/Re-Apache-Flink-transactions-tp1457p1494.html >>> > Sent from the Apache Flink User Mailing List archive. mailing list >>> > archive at Nabble.com. >> >> >
