I don't see any built-in support for this but I think that you can write a class that implements io.confluent.connect.hdfs.Format
public interface Format { RecordWriterProvider getRecordWriterProvider(); SchemaFileReader getSchemaFileReader(AvroData avroData); HiveUtil getHiveUtil(HdfsSinkConnectorConfig config, AvroData avroData, HiveMetaStore hiveMetaStore); } You would still have to register a schema in the Schema Registry and the "SchemaFileReader" that you return would have to return the same Schema. -Dave Dave Tauzell | Senior Software Engineer | Surescripts O: 651.855.3042 | www.surescripts.com | dave.tauz...@surescripts.com Connect with us: Twitter I LinkedIn I Facebook I YouTube -----Original Message----- From: Pariksheet Barapatre [mailto:pari.data...@gmail.com] Sent: Wednesday, June 22, 2016 11:49 AM To: us...@kafka.apache.org Cc: dev@kafka.apache.org Subject: Re: Kafka HDFS Connector Hi Dustin, I am looking for option 1. Looking at Kafka Connect code, I guess we need to write converter code if not available. Thanks in advance. Regards Pari On 22 June 2016 at 18:50, Dustin Cote <dus...@confluent.io> wrote: > Hi Pari, > > Can you clarify which scenario you are looking to implement? > 1) plaintext Kafka data --> plaintext HDFS data readable by hive > 2) plaintext Kafka data --> avro/parquet HDFS data readable by hive > > Regards, > > > > On Wed, Jun 22, 2016 at 6:02 AM, Pariksheet Barapatre < > pari.data...@gmail.com> wrote: > > > Thanks for your suggestions. I think if kafka connect provides the > > same functionality as flume and storm, why should we go for another > > infrastructure investment. > > > > Kafka Connect effectively copies data from Kafka topic to HDFS > > through connector. It supports avro as well as parquet, I am looking > > if we can > use > > it to load plain text data. > > > > Cheers > > Pari > > > > > > > > On 22 June 2016 at 12:34, Lohith Samaga M > > <lohith.sam...@mphasis.com> > > wrote: > > > > > Hi, > > > You can use Storm also, Here you have the option of > > > rotating > the > > > file. You can also write to Hive directly. > > > > > > Best regards / Mit freundlichen Grüßen / Sincères salutations M. > > > Lohith Samaga > > > > > > > > > > > > > > > -----Original Message----- > > > From: Mudit Kumar [mailto:mudit.ku...@askme.in] > > > Sent: Wednesday, June 22, 2016 12.32 > > > To: us...@kafka.apache.org; dev@kafka.apache.org > > > Subject: Re: Kafka HDFS Connector > > > > > > I think you can use flume also. > > > > > > Thanks, > > > Mudit > > > > > > > > > > > > > > > On 6/22/16, 12:29 PM, "Pariksheet Barapatre" > > > <pari.data...@gmail.com> > > > wrote: > > > > > > >Anybody have any idea on this? > > > > > > > >Thanks > > > >Pari > > > > > > > >On 20 June 2016 at 14:36, Pariksheet Barapatre < > pari.data...@gmail.com> > > > >wrote: > > > > > > > >> Hello All, > > > >> > > > >> I have data coming from sensors into kafka cluster in text > > > >> format delimited by comma. > > > >> > > > >> How to offload this data to Hive periodically from Kafka. I > > > >> guess, Kafka Connect should solve my problem but when I checked > > > >> documentation, examples have only avro formatted data. Can you > please > > > >> provide some knowledge on this. > > > >> > > > >> Many Thanks > > > >> Pari > > > >> > > > > > > Information transmitted by this e-mail is proprietary to Mphasis, > > > its associated companies and/ or its customers and is intended for > > > use only by the individual or entity to which it is addressed, and > > may > > > contain information that is privileged, confidential or exempt > > > from disclosure under applicable law. If you are not the > intended > > > recipient or it appears that this mail has been forwarded to you > > > without proper authority, you are notified that any use or > > > dissemination of this information in any manner is strictly > > > prohibited. In such cases, please notify us immediately at > > > mailmas...@mphasis.com and delete this mail from your records. > > > > > > > > > -- > Dustin Cote > confluent.io > This e-mail and any files transmitted with it are confidential, may contain sensitive information, and are intended solely for the use of the individual or entity to whom they are addressed. If you have received this e-mail in error, please notify the sender by reply e-mail immediately and destroy all copies of the e-mail and any attachments.