After looking into some diffs. Main issue with Hive 1.x is that its still
on com.twitter:parquet and our code is now (rightfully) moved to
org.apache.parquet.

https://github.com/apache/incubator-hudi/blob/hoodie-0.4.7/hoodie-hadoop-mr/pom.xml#L87
https://github.com/apache/incubator-hudi/blob/hoodie-0.4.7/packaging/hoodie-hadoop-mr-bundle/pom.xml#L183


A) We could either go back to previous release of Hudi that supported 1.x.
you would need to build using
https://github.com/apache/incubator-hudi/commit/e042aea837412b461b02f8062d8a11e8029823bf#diff-018e220b50f876168d6d1d4dbf52ce84
 *mvn clean install -DskipTests -DskipITs -Dhive11*

B) Try to shade/bundle more jars to try and make master work. Current
bundles don't include parquet - either in utilities-bundle for hive syncing
or mr-bundle for queries. This amounts to including jars
https://github.com/apache/incubator-hudi/blob/master/packaging/hudi-hadoop-mr-bundle/pom.xml#L66
here.

On Fri, Oct 18, 2019 at 8:50 AM Vinoth Chandar <vin...@apache.org> wrote:

> Looks like this is similar to the Hive 1.x issue faced in another thread.
>
> Let me think through this and get back to you. We need to reverse trace
> change we did to drop hive 1.x support and pom redesign changes
>
> On Wed, Oct 16, 2019 at 6:53 AM Gurudatt Kulkarni <guruak...@gmail.com>
> wrote:
>
>> Hi Nishith,
>>
>> I tried the approach that you suggested, no luck. The writes were
>> successful but the hive-sync fails.
>>
>> Here's the stack trace that I am getting. Its mostly version mismatch
>> issue
>> from what I searched.
>>
>> ```
>> 19/10/16 18:31:42 ERROR jdbc.HiveConnection: Error opening session
>> org.apache.thrift.TApplicationException: Required field 'client_protocol'
>> is unset! Struct:TOpenSessionReq(client_protocol:null,
>>
>> configuration:{set:hiveconf:hive.server2.thrift.resultset.default.fetch.size=1000,
>> use:database=default})
>> at
>>
>> org.apache.thrift.TApplicationException.read(TApplicationException.java:111)
>> at org.apache.thrift.TServiceClient.receiveBase(TServiceClient.java:79)
>> at
>>
>> org.apache.hudi.org.apache.hive.service.rpc.thrift.TCLIService$Client.recv_OpenSession(TCLIService.java:168)
>> at
>>
>> org.apache.hudi.org.apache.hive.service.rpc.thrift.TCLIService$Client.OpenSession(TCLIService.java:155)
>> at
>>
>> org.apache.hudi.org.apache.hive.jdbc.HiveConnection.openSession(HiveConnection.java:680)
>> at
>>
>> org.apache.hudi.org.apache.hive.jdbc.HiveConnection.<init>(HiveConnection.java:200)
>> at
>>
>> org.apache.hudi.org.apache.hive.jdbc.HiveDriver.connect(HiveDriver.java:107)
>> at java.sql.DriverManager.getConnection(DriverManager.java:664)
>> at java.sql.DriverManager.getConnection(DriverManager.java:247)
>> at
>>
>> org.apache.hudi.hive.HoodieHiveClient.createHiveConnection(HoodieHiveClient.java:544)
>> at org.apache.hudi.hive.HoodieHiveClient.<init>(HoodieHiveClient.java:106)
>> at org.apache.hudi.hive.HiveSyncTool.<init>(HiveSyncTool.java:60)
>> at
>>
>> org.apache.hudi.utilities.deltastreamer.DeltaSync.syncHive(DeltaSync.java:440)
>> at
>>
>> org.apache.hudi.utilities.deltastreamer.DeltaSync.writeToSink(DeltaSync.java:382)
>> at
>>
>> org.apache.hudi.utilities.deltastreamer.DeltaSync.syncOnce(DeltaSync.java:226)
>> at
>>
>> org.apache.hudi.utilities.deltastreamer.HoodieDeltaStreamer.sync(HoodieDeltaStreamer.java:120)
>> at
>>
>> org.apache.hudi.utilities.deltastreamer.HoodieDeltaStreamer.main(HoodieDeltaStreamer.java:292)
>> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
>> at
>>
>> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
>> at
>>
>> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
>> at java.lang.reflect.Method.invoke(Method.java:498)
>> at
>>
>> org.apache.spark.deploy.yarn.ApplicationMaster$$anon$2.run(ApplicationMaster.scala:688)
>> ```
>>
>> Regards,
>> Gurudatt
>>
>> On Tue, Oct 15, 2019 at 9:50 PM nishith agarwal <n3.nas...@gmail.com>
>> wrote:
>>
>> > Gurudatt,
>> >
>> > Hudi master moved away from Hive 1.x to Hive 2.x. However, can you try
>> to
>> > build master and provide a connection URL to the Hive 1.x metastore/hive
>> > server ?
>> >
>> > Thanks,
>> > Nishith
>> >
>> >
>> >
>> > On Tue, Oct 15, 2019 at 9:11 AM Vinoth Chandar <vin...@apache.org>
>> wrote:
>> >
>> > > Ouch.. We dropped support for Hive 1.x recently. But Hive 1.2.x might
>> > still
>> > > work. Is there a possibility of going one minor version up?
>> > >
>> > > Balaji and Nishith know the gory details, and possible deal with. Hive
>> > 1.x
>> > > now and then.
>> > > Folks, Is there any chance to make master work with Hive 1.x with some
>> > > custom changes?
>> > >
>> > > On Mon, Oct 14, 2019 at 10:11 PM Gurudatt Kulkarni <
>> guruak...@gmail.com>
>> > > wrote:
>> > >
>> > > > Hi Vinoth,
>> > > >
>> > > > Thank you for the quick response, but using the master branch would
>> > mean
>> > > > building for Hive 2.X, but we are still working on Hive 1.1.0 :(
>> > > >
>> > > >
>> > > > On Mon, Oct 14, 2019 at 7:57 PM Vinoth Chandar <vin...@apache.org>
>> > > wrote:
>> > > >
>> > > > > Hi Gurudatt,
>> > > > >
>> > > > > Thanks for reporting this. This seems like a class mismatch issue
>> > (the
>> > > > > particular stack trace). master and the next org.apache.hudi
>> release
>> > > has
>> > > > > tons of fixes around this. Could you give master branch a shot by
>> > > > building
>> > > > > it yourself?
>> > > > > <
>> > > > >
>> > > >
>> > >
>> >
>> http://mail-archives.apache.org/mod_mbox/hudi-dev/201906.mbox/%3CCADTZSaV9GO=3uymyzy6vidjo_va-_98tqalokmmoakbcc1g...@mail.gmail.com%3E
>> > > > > >
>> > > > >
>> > > > > To achieve what you are trying to do, please see this old thread.
>> > > > >
>> > > > >
>> > > >
>> > >
>> >
>> http://mail-archives.apache.org/mod_mbox/hudi-dev/201906.mbox/%3CCADTZSaV9GO=3uymyzy6vidjo_va-_98tqalokmmoakbcc1g...@mail.gmail.com%3E
>> > > > >
>> > > > > You also need to set the following properties.
>> > > > >
>> > > > >
>> > > > >
>> > > >
>> > >
>> >
>> hoodie.datasource.write.keygenerator.class=org.apache.hudi.NonpartitionedKeyGenerator
>> > > > >
>> > > > >
>> > > > >
>> > > >
>> > >
>> >
>> hoodie.datasource.hive_sync.partition_extractor_class=org.apache.hudi.hive.NonPartitionedExtractor
>> > > > >
>> > > > >
>> > > > > Balaji ,Can we faq your answer on that thread, since this an often
>> > > > > asked question?
>> > > > >
>> > > > >
>> > > > > Thanks
>> > > > >
>> > > > > vinoth
>> > > > >
>> > > > >
>> > > > >
>> > > > > On Mon, Oct 14, 2019 at 4:58 AM Gurudatt Kulkarni <
>> > guruak...@gmail.com
>> > > >
>> > > > > wrote:
>> > > > >
>> > > > > > Hi All,
>> > > > > >
>> > > > > > I am using HoodieDeltaStreamer (hoodie-0.4.7) to migrate a small
>> > > table.
>> > > > > The
>> > > > > > data is being written successfully in parquet format but the
>> hive
>> > > sync
>> > > > > > fails.
>> > > > > >
>> > > > > > Here's the Stacktrace.
>> > > > > >
>> > > > > > 19/10/14 17:02:12 INFO metastore.ObjectStore: Setting MetaStore
>> > > object
>> > > > > > pin classes with
>> > > > > >
>> > > > > >
>> > > > >
>> > > >
>> > >
>> >
>> hive.metastore.cache.pinobjtypes="Table,StorageDescriptor,SerDeInfo,Partition,Database,Type,FieldSchema,Order"
>> > > > > > 19/10/14 17:02:12 ERROR yarn.ApplicationMaster: User class threw
>> > > > > > exception: java.lang.ClassCastException:
>> > > > > >
>> > >
>> org.apache.hadoop.hive.ql.optimizer.ppr.PartitionExpressionForMetastore
>> > > > > > cannot be cast to
>> > > > > >
>> > > >
>> >
>> com.uber.hoodie.org.apache.hadoop_hive.metastore.PartitionExpressionProxy
>> > > > > > java.lang.ClassCastException:
>> > > > > >
>> > >
>> org.apache.hadoop.hive.ql.optimizer.ppr.PartitionExpressionForMetastore
>> > > > > > cannot be cast to
>> > > > > >
>> > > >
>> >
>> com.uber.hoodie.org.apache.hadoop_hive.metastore.PartitionExpressionProxy
>> > > > > >         at
>> > > > > >
>> > > > >
>> > > >
>> > >
>> >
>> com.uber.hoodie.org.apache.hadoop_hive.metastore.ObjectStore.createExpressionProxy(ObjectStore.java:367)
>> > > > > >         at
>> > > > > >
>> > > > >
>> > > >
>> > >
>> >
>> com.uber.hoodie.org.apache.hadoop_hive.metastore.ObjectStore.initialize(ObjectStore.java:345)
>> > > > > >         at
>> > > > > >
>> > > > >
>> > > >
>> > >
>> >
>> com.uber.hoodie.org.apache.hadoop_hive.metastore.ObjectStore.setConf(ObjectStore.java:298)
>> > > > > >         at
>> > > > > >
>> > >
>> org.apache.hadoop.util.ReflectionUtils.setConf(ReflectionUtils.java:73)
>> > > > > >         at
>> > > > > >
>> > > > >
>> > > >
>> > >
>> >
>> org.apache.hadoop.util.ReflectionUtils.newInstance(ReflectionUtils.java:133)
>> > > > > >         at
>> > > > > >
>> > > > >
>> > > >
>> > >
>> >
>> com.uber.hoodie.org.apache.hadoop_hive.metastore.RawStoreProxy.<init>(RawStoreProxy.java:60)
>> > > > > >         at
>> > > > > >
>> > > > >
>> > > >
>> > >
>> >
>> com.uber.hoodie.org.apache.hadoop_hive.metastore.RawStoreProxy.getProxy(RawStoreProxy.java:69)
>> > > > > >         at
>> > > > > >
>> > > > >
>> > > >
>> > >
>> >
>> com.uber.hoodie.org.apache.hadoop_hive.metastore.HiveMetaStore$HMSHandler.newRawStore(HiveMetaStore.java:682)
>> > > > > >         at
>> > > > > >
>> > > > >
>> > > >
>> > >
>> >
>> com.uber.hoodie.org.apache.hadoop_hive.metastore.HiveMetaStore$HMSHandler.getMS(HiveMetaStore.java:660)
>> > > > > >         at
>> > > > > >
>> > > > >
>> > > >
>> > >
>> >
>> com.uber.hoodie.org.apache.hadoop_hive.metastore.HiveMetaStore$HMSHandler.createDefaultDB(HiveMetaStore.java:709)
>> > > > > >         at
>> > > > > >
>> > > > >
>> > > >
>> > >
>> >
>> com.uber.hoodie.org.apache.hadoop_hive.metastore.HiveMetaStore$HMSHandler.init(HiveMetaStore.java:508)
>> > > > > >         at
>> > > > > >
>> > > > >
>> > > >
>> > >
>> >
>> com.uber.hoodie.org.apache.hadoop_hive.metastore.RetryingHMSHandler.<init>(RetryingHMSHandler.java:78)
>> > > > > >         at
>> > > > > >
>> > > > >
>> > > >
>> > >
>> >
>> com.uber.hoodie.org.apache.hadoop_hive.metastore.RetryingHMSHandler.getProxy(RetryingHMSHandler.java:84)
>> > > > > >         at
>> > > > > >
>> > > > >
>> > > >
>> > >
>> >
>> com.uber.hoodie.org.apache.hadoop_hive.metastore.HiveMetaStore.newRetryingHMSHandler(HiveMetaStore.java:6481)
>> > > > > >         at
>> > > > > >
>> > > > >
>> > > >
>> > >
>> >
>> com.uber.hoodie.org.apache.hadoop_hive.metastore.HiveMetaStoreClient.<init>(HiveMetaStoreClient.java:207)
>> > > > > >         at
>> > > > > >
>> > > > >
>> > > >
>> > >
>> >
>> com.uber.hoodie.org.apache.hadoop_hive.metastore.HiveMetaStoreClient.<init>(HiveMetaStoreClient.java:187)
>> > > > > >         at
>> > > > > >
>> > >
>> com.uber.hoodie.hive.HoodieHiveClient.<init>(HoodieHiveClient.java:102)
>> > > > > >         at
>> > > > com.uber.hoodie.hive.HiveSyncTool.<init>(HiveSyncTool.java:61)
>> > > > > >         at
>> > > > > >
>> > > > >
>> > > >
>> > >
>> >
>> com.uber.hoodie.utilities.deltastreamer.HoodieDeltaStreamer.syncHive(HoodieDeltaStreamer.java:328)
>> > > > > >         at
>> > > > > >
>> > > > >
>> > > >
>> > >
>> >
>> com.uber.hoodie.utilities.deltastreamer.HoodieDeltaStreamer.sync(HoodieDeltaStreamer.java:298)
>> > > > > >         at
>> > > > > >
>> > > > >
>> > > >
>> > >
>> >
>> com.uber.hoodie.utilities.deltastreamer.HoodieDeltaStreamer.main(HoodieDeltaStreamer.java:469)
>> > > > > >         at sun.reflect.NativeMethodAccessorImpl.invoke0(Native
>> > > Method)
>> > > > > >         at
>> > > > > >
>> > > > >
>> > > >
>> > >
>> >
>> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
>> > > > > >         at
>> > > > > >
>> > > > >
>> > > >
>> > >
>> >
>> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
>> > > > > >         at java.lang.reflect.Method.invoke(Method.java:498)
>> > > > > >         at
>> > > > > >
>> > > > >
>> > > >
>> > >
>> >
>> org.apache.spark.deploy.yarn.ApplicationMaster$$anon$2.run(ApplicationMaster.scala:688)
>> > > > > >
>> > > > > >
>> > > > > > Here's are the properties that I am using,
>> > > > > >
>> > > > > >
>> > > > > > ```
>> > > > > >
>> > > > > > hoodie.upsert.shuffle.parallelism=2
>> > > > > > hoodie.insert.shuffle.parallelism=2
>> > > > > > hoodie.bulkinsert.shuffle.parallelism=2
>> > > > > >
>> > > > > > # Key fields, for kafka example
>> > > > > > hoodie.datasource.write.recordkey.field=<primary_key>
>> > > > > > *hoodie.datasource.write.partitionpath.field=*
>> > > > > > # schema provider configs
>> > > > > > hoodie.deltastreamer.schemaprovider.registry.url=
>> > > > > > http://localhost:8081/subjects/schema_name/versions/latest
>> > > > > > # Kafka Source
>> > > > > > hoodie.datasource.hive_sync.database=default
>> > > > > > hoodie.datasource.hive_sync.table=table_name
>> > > > > > hoodie.datasource.hive_sync.jdbcurl=jdbc:hive2://localhost:10000
>> > > > > > *hoodie.datasource.hive_sync.partition_fields=*
>> > > > > >
>> > > > > > hoodie.deltastreamer.source.kafka.topic=topic_name
>> > > > > > #Kafka props
>> > > > > > metadata.broker.list=localhost:9092
>> > > > > > auto.offset.reset=smallest
>> > > > > > schema.registry.url=http://localhost:8081
>> > > > > >
>> > > > > > ```
>> > > > > >
>> > > > > >
>> > > > > > The table does not have partitons, hence i have kept
>> > > > > > *hoodie.datasource.write.partitionpath.field *blank,
>> > > > > >
>> > > > > > so it is writing it to `default` directory.
>> > > > > >
>> > > > > > Also, *hoodie.datasource.hive_sync.partition_fields *property is
>> > left
>> > > > > > blank for the same reason.
>> > > > > >
>> > > > > >
>> > > > > > Regards,
>> > > > > >
>> > > > > > Gurudatt
>> > > > > >
>> > > > >
>> > > >
>> > >
>> >
>>
>

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