Sweet!
On Sat, Nov 16, 2019 at 10:16 AM Purushotham Pushpavanthar <
pushpavant...@gmail.com> wrote:
> Thanks Vinoth and Kabeer. It resolved my problem.
>
> Regards,
> Purushotham Pushpavanth
>
>
>
> On Fri, 15 Nov 2019 at 20:16, Kabeer Ahmed <kab...@linuxmail.org> wrote:
>
> > Adding to Vinoth's response, in spark-shell you just need to copy and
> > paste the below line. Let us know if it still doesnt work.
> >
> >
> spark.sparkContext.hadoopConfiguration.setClass("mapreduce.input.pathFilter.class",
> > classOf[org.apache.hudi.hadoop.HoodieROTablePathFilter],
> > classOf[org.apache.hadoop.fs.PathFilter]);
> > On Nov 15 2019, at 1:37 pm, Vinoth Chandar <vin...@apache.org> wrote:
> > > Hi,
> > >
> > > are you setting the path filters when you query the Hudi Hive table via
> > > Spark
> > > http://hudi.apache.org/querying_data.html#spark-ro-view (or
> > > http://hudi.apache.org/querying_data.html#spark-rt-view
> alternatively)?
> > >
> > > - Vinoth
> > > On Fri, Nov 15, 2019 at 5:03 AM Purushotham Pushpavanthar <
> > > pushpavant...@gmail.com> wrote:
> > >
> > > > Hi,
> > > > Below is a create statement on my Hudi dataset.
> > > >
> > > >
> > > >
> > > >
> > > >
> > > >
> > > >
> > > >
> > > >
> > > >
> > > >
> > > >
> > > >
> > > >
> > > > *CREATE EXTERNAL TABLE `inventory`.`customer`(`_hoodie_commit_time`
> > string,
> > > > `_hoodie_commit_seqno` string, `_hoodie_record_key` string,
> > > > `_hoodie_partition_path` string, `_hoodie_file_name` string, `id`
> > bigint,
> > > > `sales` bigint, `merchant` bigint, `item_status` bigint,
> `tem_shipment`
> > > > bigint)PARTITIONED BY (`dt` string)ROW FORMAT SERDE
> > > > 'org.apache.hadoop.hive.ql.io.parquet.serde.ParquetHiveSerDe'WITH
> > > > SERDEPROPERTIES ( 'serialization.format' = '1')STORED AS INPUTFORMAT
> > > > 'org.apache.hudi.hadoop.HoodieParquetInputFormat' OUTPUTFORMAT
> > > > 'org.apache.hadoop.hive.ql.io
> > .parquet.MapredParquetOutputFormat'LOCATION
> > > > 's3://<warehouse-bucket>/<path>/inventory/customer'TBLPROPERTIES (
> > > > 'bucketing_version' = '2', 'transient_lastDdlTime' = '1572952974',
> > > > 'last_commit_time_sync' = '20191114192136')*
> > > >
> > > > I've taken care of adding *hudi-hive-bundle-0.5.1-SNAPSHOT.jar* in
> > Hive,
> > > > *hudi-presto-bundle-0.5.1-SNAPSHOT.jar* in Presto and
> > > > *hudi-spark-bundle-0.5.1-SNAPSHOT.jar
> > > > *in Spark (All three share common Metastore).
> > > > We are running Hudi in COW mode and we noticed that there are
> multiple
> > > > versions of the .parquet files
> > > > written per partitions depending on number of updates coming to them
> > over
> > > > each batch execution. When queried from Hive and Presto
> > > > for any Primary Key having multiple updates, it returns single record
> > with
> > > > latest state(I assume *HoodieParquetInputFormat* does the magic of
> > taking
> > > > care of duplicates). Whereas, when I tried to execute the same query
> > > > in Spark SQL, I get duplicated records for any Primary Key having
> > multiple
> > > > updates.
> > > >
> > > > Can someone help me understand why Spark is not able to handle
> > > > deduplication of records across multiple commits which Presto and
> Hive
> > are
> > > > able to do?
> > > > I've taken care of providing hudi-spark-bundle-0.5.1-SNAPSHOT.jar
> while
> > > > starting spark-shell. Is there something that I'm missing?
> > > >
> > > > Thanks in advance.
> > > > Regards,
> > > > Purushotham Pushpavanth
> > >
> > >
> >
> >
>
