Raghvendra,
Can you enable TRACE level logging for Hudi on EMR, and provide the error logs.
For this go to /etc/spark/conf/log4j.properties and change logging level of
log4j.logger.org.apache.hudi to TRACE. This would help provide the failed
record/keys based off
https://github.com/apache/incubator-hudi/blob/master/hudi-spark/src/main/scala/org/apache/hudi/HoodieSparkSqlWriter.scala#L287
Another thing that would help is to provide the Avro schema that gets printed
on the driver when you run your job. We need to understand which field and why
it is treated as INT96, because current parquet-avro does not handle its
conversion. Also, for any other questions about EMR we can discuss it in the
meeting you have setup with Rahul from EMR team.
Thanks,
Udit
On 2/27/20, 11:00 AM, "Shiyan Xu" <xu.shiyan.raym...@gmail.com> wrote:
+1 on the idea. Giving an config like `--error-path` where all failed
conversions are saved provides flexibility for later processing. SQS/SNS
can pick that up later.
On Thu, Feb 27, 2020 at 8:10 AM Vinoth Chandar <vin...@apache.org> wrote:
> On the second part, it seems like a question for EMR folks ?
>
> Hudi's RDD level APIs, do hand the failure records back and .. May be we
> should consider writing out the error records somewhere for the datasource
> as well.?
> others any thoughts?
>
> On Mon, Feb 24, 2020 at 10:59 PM Raghvendra Dhar Dubey
> <raghvendra.d.du...@delhivery.com.invalid> wrote:
>
> > Thanks Gary and Udit,
> >
> > I tried HudiDeltaStreamer for reading parquet files from s3 but there
is
> > an issue while AvroSchemaConverter not able to convert Parquet INT96. so
> I
> > thought to use Spark Structured Streaming to read data from s3 and write
> > into Hudi, but as Databricks providing "cloudfiles" for failure
handling,
> > Is there something in EMR? or do we need to manually handle this failure
> by
> > introducing SQS and SNS?
> >
> >
> >
> > On 2020/02/18 20:03:16, "Mehrotra, Udit" <udi...@amazon.com.INVALID>
> > wrote:
> > > Workaround provided by Gary can help querying Hudi tables through
> Athena
> > for Copy On Write tables by basically querying only the latest commit
> files
> > as standard parquet. It would definitely be worth documenting, as
several
> > people have asked for it and I remember providing the same suggestion on
> > slack earlier. I can add if I have the perms.
> > >
> > > >> if I connect to the Hive catalog on EMR, which is able to provide
> the
> > > Hudi views correctly, I should be able to get correct results on
> > Athena
> > >
> > > As Vinoth mentioned, just connecting to metastore is not enough.
Athena
> > would still use its own Presto which does not support Hudi.
> > >
> > > As for Hudi support for Athena:
> > > Athena does use Presto, but it's their own custom version and I don't
> > think they yet have the code that Hudi guys contributed to presto i.e.
> the
> > split annotations etc. Also they don’t have Hudi jars in presto
> classpath.
> > We are not sure of any timelines for this support, but I have heard that
> > work should start soon.
> > >
> > > Thanks,
> > > Udit
> > >
> > > On 2/18/20, 11:27 AM, "Vinoth Chandar" <vin...@apache.org> wrote:
> > >
> > > Thanks everyone for chiming in. Esp Gary for the detailed
> > workaround..
> > > (should we FAQ this workaround.. food for thought)
> > >
> > > >> if I connect to the Hive catalog on EMR, which is able to
> provide
> > the
> > > Hudi views correctly, I should be able to get correct results on
> > Athena
> > >
> > > Knowing how the Presto/Hudi integration works, simply being able
to
> > read
> > > from Hive metastore is not enough. Presto has code to specially
> > recognize
> > > Hudi tables and does an additional filtering step, which lets it
> > query the
> > > data in there correctly. (Gary's workaround above keeps just 1
> > version
> > > around for a given file (group))..
> > >
> > > On Mon, Feb 17, 2020 at 11:28 PM Gary Li <yanjia.gary...@gmail.com
> >
> > wrote:
> > >
> > > > Hello, I don't have any experience working with Athena but I can
> > share my
> > > > experience working with Impala. There is a workaround.
> > > > By setting Hudi config:
> > > >
> > > > - hoodie.cleaner.policy=KEEP_LATEST_FILE_VERSIONS
> > > > - hoodie.cleaner.fileversions.retained=1
> > > >
> > > > You will have your Hudi dataset as same as plain parquet files.
> > You can
> > > > create a table just like regular parquet. Hudi will write a new
> > commit
> > > > first then delete the older files that have two versions. You
> need
> > to
> > > > refresh the table metadata store as soon as the Hudi Upsert job
> > finishes.
> > > > For impala, it's simply REFRESH TABLE xxx. After Hudi vacuumed
> the
> > older
> > > > files and before refresh the table metastore, the table will be
> > unavailable
> > > > for query(1-5 mins in my case).
> > > >
> > > > How can we process S3 parquet files(hourly partitioned) through
> > Apache
> > > > Hudi? Is there any streaming layer we need to introduce?
> > > > -----------
> > > > Hudi Delta streamer support parquet file. You can do a
bulkInsert
> > for the
> > > > first job then use delta streamer for the Upsert job.
> > > >
> > > > 3 - What should be the parquet file size and row group size for
> > better
> > > > performance on querying Hudi Dataset?
> > > > ----------
> > > > That depends on the query engine you are using and it should be
> > documented
> > > > somewhere. For impala, the optimal size for query performance is
> > 256MB, but
> > > > the larger file size will make upsert more expensive. The size I
> > personally
> > > > choose is 100MB to 128MB.
> > > >
> > > > Thanks,
> > > > Gary
> > > >
> > > >
> > > >
> > > > On Mon, Feb 17, 2020 at 9:46 PM Dubey, Raghu
> > <raghu...@amazon.com.invalid>
> > > > wrote:
> > > >
> > > > > Athena is indeed Presto inside, but there is lot of custom
code
> > which has
> > > > > gone on top of Presto there.
> > > > > Couple months back I tried running a glue crawler to catalog a
> > Hudi data
> > > > > set and then query it from Athena. The results were not same
as
> > what I
> > > > > would get with running the same query using spark SQL on EMR.
> > Did not try
> > > > > Presto on EMR, but assuming it will work fine on EMR.
> > > > >
> > > > > Athena integration with Hudi data set is planned shortly, but
> > not sure of
> > > > > the date yet.
> > > > >
> > > > > However, recently Athena started supporting integration to a
> > Hive catalog
> > > > > apart from Glue. What that means is in Athena, if I connect to
> > the Hive
> > > > > catalog on EMR, which is able to provide the Hudi views
> > correctly, I
> > > > should
> > > > > be able to get correct results on Athena. Have not tested it
> > though. The
> > > > > feature is in Preview already.
> > > > >
> > > > > Thanks
> > > > > Raghu
> > > > > -----Original Message-----
> > > > > From: Shiyan Xu <xu.shiyan.raym...@gmail.com>
> > > > > Sent: Tuesday, February 18, 2020 6:20 AM
> > > > > To: dev@hudi.apache.org
> > > > > Cc: Mehrotra, Udit <udi...@amazon.com>; Raghvendra Dhar Dubey
> > > > > <raghvendra.d.du...@delhivery.com.invalid>
> > > > > Subject: Re: Apache Hudi on AWS EMR
> > > > >
> > > > > For 2) I think running presto on EMR is able to let you run
> > > > read-optimized
> > > > > queries.
> > > > > I don't quite understand how exactly Athena not support Hudi
as
> > it is
> > > > > Presto underlying.
> > > > > Perhaps @Udit could give some insights from AWS?
> > > > >
> > > > > As @Raghvendra you mentioned, another option is to export Hudi
> > dataset to
> > > > > plain parquet files for Athena to query on
> > > > > RFC-9 is for this usecase
> > > > >
> > > > >
> > > >
> >
>
https://cwiki.apache.org/confluence/display/HUDI/RFC+-+09+%3A+Hudi+Dataset+Snapshot+Exporter
> > > > > The task is inactive now. Feel free to pick up if this is
> > something you'd
> > > > > like to work on. I'd be happy to help with that.
> > > > >
> > > > >
> > > > > On Thu, Feb 13, 2020 at 5:39 PM Vinoth Chandar <
> > vin...@apache.org>
> > > > wrote:
> > > > >
> > > > > > Hi Raghvendra,
> > > > > >
> > > > > > Quick sidebar.. Please subscribe to the mailing list, so
your
> > message
> > > > > > get published automatically. :)
> > > > > >
> > > > > > On Thu, Feb 13, 2020 at 5:32 PM Raghvendra Dhar Dubey
> > > > > > <raghvendra.d.du...@delhivery.com.invalid> wrote:
> > > > > >
> > > > > > > Hi Udit,
> > > > > > >
> > > > > > > Thanks for information.
> > > > > > > Actually I am struggling on following points
> > > > > > > 1 - How can we process S3 parquet files(hourly
partitioned)
> > through
> > > > > > Apache
> > > > > > > Hudi? Is there any streaming layer we need to introduce? 2
> -
> > Is
> > > > > > > there any workaround to query Hudi Dataset from Athena? we
> > are
> > > > > > > thinking to dump resulting Hudi dataset to S3, and then
> > querying
> > > > > > > from Athena. 3 - What should be the parquet file size and
> > row group
> > > > > > > size for better performance on querying Hudi Dataset?
> > > > > > >
> > > > > > > Thanks
> > > > > > > Raghvendra
> > > > > > >
> > > > > > >
> > > > > > > On Thu, Feb 13, 2020 at 5:05 AM Mehrotra, Udit <
> > udi...@amazon.com>
> > > > > > wrote:
> > > > > > >
> > > > > > > > Hi Raghvendra,
> > > > > > > >
> > > > > > > > You would have to re-write you Parquet Dataset in Hudi
> > format.
> > > > > > > > Here are the links you can follow to get started:
> > > > > > > >
> > > > > > > >
> > > > > > >
> > > > > >
> > https://docs.aws.amazon.com/emr/latest/ReleaseGuide/emr-hudi-work-with
> > > > > > -dataset.html
> > > > > > > >
> > https://hudi.apache.org/docs/querying_data.html#spark-incr-pull
> > > > > > > >
> > > > > > > > Thanks,
> > > > > > > > Udit
> > > > > > > >
> > > > > > > > On 2/12/20, 10:27 AM, "Raghvendra Dhar Dubey"
> > > > > > > > <raghvendra.d.du...@delhivery.com.INVALID> wrote:
> > > > > > > >
> > > > > > > > Hi Team,
> > > > > > > >
> > > > > > > > I want to setup incremental view of my AWS S3
parquet
> > data
> > > > > > > > through Apache
> > > > > > > > Hudi, and want to query this data through Athena,
but
> > > > > > > > currently
> > > > > > > Athena
> > > > > > > > not
> > > > > > > > supporting Hudi Dataset.
> > > > > > > >
> > > > > > > > so there are few questions which I want to
understand
> > here
> > > > > > > >
> > > > > > > > 1 - How to stream s3 parquet file to Hudi dataset
> > running on
> > > > EMR.
> > > > > > > >
> > > > > > > > 2 - How to query Hudi Dataset running on EMR
> > > > > > > >
> > > > > > > > Please help me to understand this.
> > > > > > > >
> > > > > > > > Thanks
> > > > > > > >
> > > > > > > > Raghvendra
> > > > > > > >
> > > > > > > >
> > > > > > > >
> > > > > > >
> > > > > >
> > > > >
> > > >
> > >
> > >
> > >
> >
>
