For hbase, the problem is we rely on protobuf 2.5 for our coprocessors.

See HBASE-27436.

Cheng Pan <pan3...@gmail.com> 于2023年5月24日周三 10:00写道:

> +CC dev@hbase
>
> Thanks,
> Cheng Pan
>
> On Fri, May 19, 2023 at 4:08 AM Steve Loughran
> <ste...@cloudera.com.invalid> wrote:
> >
> >
> >
> > On Thu, 18 May 2023 at 03:45, Cheng Pan <cheng...@apache.org> wrote:
> >>
> >> Steve, thanks for the information, I think HADOOP-17046 should be fine
> for the Spark case.
> >>
> >> Hadoop put the protobuf 3 into the pre-shaded hadoop-thirdparty, and
> the hadoop-client-runtime shades protobuf 2 during the package, which
> results in protobuf 2 and 3 co-exist in hadoop-client-runtime in different
> packages:
> >>
> >> - protobuf 2: org.apache.hadoop.shaded.com.google.protobuf
> >> - protobuf 3: org.apache.hadoop.thirdparty.protobuf
> >
> > j
> > oh, so in fact that "put it back in unshaded" change doesn't do anything
> useful through the hadoop-client lib. so it is very much useless.
> >>
> >>
> >> As HADOOP-18487 plans to mark the protobuf 2 optional, will this make
> hadoop-client-runtime does not ship protobuf 2? If yes, things become worse
> for downstream projects who consumes hadoop shaded client, like Spark,
> because it requires the user to add vanilla protobuf 2 jar into the
> classpath if they want to access those API.
> >
> >
> > Well, what applications are using  
> > org.apache.hadoop.shaded.com.google.protobuf
> ? hadoop itself doesn't; it's only referenced in unshaded form because
> hbase wanted the IPC library to still work with the unshaded version they
> were still using. But if the parquet2 lib is now only available shaded,
> their protobuf compiled .class files aren't going to link to it, are they?
> >
> > does anyone know how spark + hbase + hadoop-client-runtime work so that
> spark can talk to an hbase server? especially: what is needed on the
> classpath, and what gets loaded for a call
> >>
> >>
> >> In summary, I think the current state is fine. But for security
> purposes, the Hadoop community may want to remove the EOL protobuf 2
> classes from hadoop-client-runtime.
> >
> >
> >  +1. the shaded one which is in use also needs upgrading.
> >
> >>
> >> Thanks,
> >> Cheng Pan
> >>
> >>
> >> On May 17, 2023 at 04:10:43, Dongjoon Hyun <dongj...@apache.org> wrote:
> >>>
> >>> Thank you for sharing, Steve.
> >>>
> >>> Dongjoon
> >>>
> >>> On Tue, May 16, 2023 at 11:44 AM Steve Loughran
> <ste...@cloudera.com.invalid> wrote:
> >>>>
> >>>> I have some bad news here which is even though hadoop cut protobuf
> 2.5 support, hbase team put it back in (HADOOP-17046). I don't know if the
> shaded hadoop client has removed that dependency on protobuf 2.5.
> >>>>
> >>>> In HADOOP-18487 i want to allow hadoop to cut that dependency, with
> hbase having to add it to the classpath if they still want it:
> >>>> https://github.com/apache/hadoop/pull/4996
> >>>>
> >>>> It's been neglected -if you can help with review/test etc that'd be
> great. I'd love to get this into the 3.3.6 release.
> >>>>
> >>>> On Sat, 13 May 2023 at 08:36, Cheng Pan <cheng...@apache.org> wrote:
> >>>>>
> >>>>> Hi all,
> >>>>>
> >>>>> In SPARK-42452 (apache/spark#41153 [1]), I’m trying to remove
> protobuf 2.5.0 from the Spark dependencies.
> >>>>>
> >>>>> Spark does not use protobuf 2.5.0 directly, instead, it comes from
> other dependencies, with the following changes, now, Spark does not require
> protobuf 2.5.0.
> >>>>>
> >>>>> - SPARK-40323 upgraded ORC 1.8.0, which moved from protobuf 2.5.0 to
> a shaded protobuf 3
> >>>>>
> >>>>> - SPARK-33212 switched from Hadoop vanilla client to Hadoop shaded
> client, also removed the protobuf 2 dependency. SPARK-42452 removed the
> support for Hadoop 2.
> >>>>>
> >>>>> - SPARK-14421 shaded and relocated protobuf 2.6.1, which is required
> by the kinesis client, into the kinesis assembly jar
> >>>>>
> >>>>> - Spark itself's core/connect/protobuf modules use protobuf 3, also
> shaded and relocated all protobuf 3 deps.
> >>>>>
> >>>>> Feel free to comment if you still have any concerns.
> >>>>>
> >>>>> [1] https://github.com/apache/spark/pull/41153
> >>>>>
> >>>>> Thanks,
> >>>>> Cheng Pan
>

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