Regarding to the specific solution, I'm not sure about the "fat" and "slim" solution though. I get the idea that we can make the slim one even more lightweight than current distribution, but what about the "fat" one? Do you mean that we would package all connectors and formats into this? I'm not sure if this is feasible. For example, we can't put all versions of kafka and hive connector jars into lib directory, and we also might need hadoop jars when using filesystem connector to access data from HDFS.
So my guess would be we might hand-pick some of the most frequently used connectors and formats into our "lib" directory, like kafka, csv, json metioned above, and still leave some other connectors out of it. If this is the case, then why not we just provide this distribution to user? I'm not sure i get the benefit of providing another super "slim" jar (we have to pay some costs to provide another suit of distribution). What do you think? Best, Kurt On Wed, Apr 15, 2020 at 7:08 PM Jingsong Li <jingsongl...@gmail.com> wrote: > Big +1. > > I like "fat" and "slim". > > For csv and json, like Jark said, they are quite small and don't have other > dependencies. They are important to kafka connector, and important > to upcoming file system connector too. > So can we move them to both "fat" and "slim"? They're so important, and > they're so lightweight. > > Best, > Jingsong Lee > > On Wed, Apr 15, 2020 at 4:53 PM godfrey he <godfre...@gmail.com> wrote: > > > Big +1. > > This will improve user experience (special for Flink new users). > > We answered so many questions about "class not found". > > > > Best, > > Godfrey > > > > Dian Fu <dian0511...@gmail.com> 于2020年4月15日周三 下午4:30写道： > > > > > +1 to this proposal. > > > > > > Missing connector jars is also a big problem for PyFlink users. > > Currently, > > > after a Python user has installed PyFlink using `pip`, he has to > manually > > > copy the connector fat jars to the PyFlink installation directory for > the > > > connectors to be used if he wants to run jobs locally. This process is > > very > > > confuse for users and affects the experience a lot. > > > > > > Regards, > > > Dian > > > > > > > 在 2020年4月15日，下午3:51，Jark Wu <imj...@gmail.com> 写道： > > > > > > > > +1 to the proposal. I also found the "download additional jar" step > is > > > > really verbose when I prepare webinars. > > > > > > > > At least, I think the flink-csv and flink-json should in the > > > distribution, > > > > they are quite small and don't have other dependencies. > > > > > > > > Best, > > > > Jark > > > > > > > > On Wed, 15 Apr 2020 at 15:44, Jeff Zhang <zjf...@gmail.com> wrote: > > > > > > > >> Hi Aljoscha, > > > >> > > > >> Big +1 for the fat flink distribution, where do you plan to put > these > > > >> connectors ? opt or lib ? > > > >> > > > >> Aljoscha Krettek <aljos...@apache.org> 于2020年4月15日周三 下午3:30写道： > > > >> > > > >>> Hi Everyone, > > > >>> > > > >>> I'd like to discuss about releasing a more full-featured Flink > > > >>> distribution. The motivation is that there is friction for > SQL/Table > > > API > > > >>> users that want to use Table connectors which are not there in the > > > >>> current Flink Distribution. For these users the workflow is > currently > > > >>> roughly: > > > >>> > > > >>> - download Flink dist > > > >>> - configure csv/Kafka/json connectors per configuration > > > >>> - run SQL client or program > > > >>> - decrypt error message and research the solution > > > >>> - download additional connector jars > > > >>> - program works correctly > > > >>> > > > >>> I realize that this can be made to work but if every SQL user has > > this > > > >>> as their first experience that doesn't seem good to me. > > > >>> > > > >>> My proposal is to provide two versions of the Flink Distribution in > > the > > > >>> future: "fat" and "slim" (names to be discussed): > > > >>> > > > >>> - slim would be even trimmer than todays distribution > > > >>> - fat would contain a lot of convenience connectors (yet to be > > > >>> determined which one) > > > >>> > > > >>> And yes, I realize that there are already more dimensions of Flink > > > >>> releases (Scala version and Java version). > > > >>> > > > >>> For background, our current Flink dist has these in the opt > > directory: > > > >>> > > > >>> - flink-azure-fs-hadoop-1.10.0.jar > > > >>> - flink-cep-scala_2.12-1.10.0.jar > > > >>> - flink-cep_2.12-1.10.0.jar > > > >>> - flink-gelly-scala_2.12-1.10.0.jar > > > >>> - flink-gelly_2.12-1.10.0.jar > > > >>> - flink-metrics-datadog-1.10.0.jar > > > >>> - flink-metrics-graphite-1.10.0.jar > > > >>> - flink-metrics-influxdb-1.10.0.jar > > > >>> - flink-metrics-prometheus-1.10.0.jar > > > >>> - flink-metrics-slf4j-1.10.0.jar > > > >>> - flink-metrics-statsd-1.10.0.jar > > > >>> - flink-oss-fs-hadoop-1.10.0.jar > > > >>> - flink-python_2.12-1.10.0.jar > > > >>> - flink-queryable-state-runtime_2.12-1.10.0.jar > > > >>> - flink-s3-fs-hadoop-1.10.0.jar > > > >>> - flink-s3-fs-presto-1.10.0.jar > > > >>> - flink-shaded-netty-tcnative-dynamic-2.0.25.Final-9.0.jar > > > >>> - flink-sql-client_2.12-1.10.0.jar > > > >>> - flink-state-processor-api_2.12-1.10.0.jar > > > >>> - flink-swift-fs-hadoop-1.10.0.jar > > > >>> > > > >>> Current Flink dist is 267M. If we removed everything from opt we > > would > > > >>> go down to 126M. I would reccomend this, because the large majority > > of > > > >>> the files in opt are probably unused. > > > >>> > > > >>> What do you think? > > > >>> > > > >>> Best, > > > >>> Aljoscha > > > >>> > > > >>> > > > >> > > > >> -- > > > >> Best Regards > > > >> > > > >> Jeff Zhang > > > >> > > > > > > > > > > > -- > Best, Jingsong Lee >
