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https://issues.apache.org/jira/browse/NIFI-9740?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hamza updated NIFI-9740:
------------------------
Description:
we are writing data in parquet format to hdfs using AvroRecordSetWriter
controller service. we writed the data, but when we want to read the data, we
get the sema incompatible error. we does not have any problems when we does the
same data (one to one same data) with the same scenario with nifi version
1.11.4.
controller servis properties
!image-2022-03-01-14-11-33-320.png!
SQL ExecuteSQLRecord properties
!image-2022-03-01-14-09-59-372.png!
Spark. data reader result is error
!image-2022-03-01-14-00-57-874.png!
was:
I am writing data in parquet format to hdfs using Avro Record Writer controls
service. but when I want to read the data, I get the sema incompatible error. I
do not have any problems when I do the same data with the same scenario with
nifi version 1.11.4.
controller servis properties
!image-2022-03-01-14-11-33-320.png!
SQL ExecuteSQLRecord properties
!image-2022-03-01-14-09-59-372.png!
Spark. data reader result is error
!image-2022-03-01-14-00-57-874.png!
> Using the Avro Record Writer Put on HDFS Data Read error
> --------------------------------------------------------
>
> Key: NIFI-9740
> URL: https://issues.apache.org/jira/browse/NIFI-9740
> Project: Apache NiFi
> Issue Type: Bug
> Affects Versions: 1.15.2
> Environment: on production
> Reporter: Hamza
> Priority: Major
> Attachments: image-2022-03-01-14-00-57-874.png,
> image-2022-03-01-14-09-59-372.png, image-2022-03-01-14-11-33-320.png
>
>
> we are writing data in parquet format to hdfs using AvroRecordSetWriter
> controller service. we writed the data, but when we want to read the data, we
> get the sema incompatible error. we does not have any problems when we does
> the same data (one to one same data) with the same scenario with nifi version
> 1.11.4.
> controller servis properties
> !image-2022-03-01-14-11-33-320.png!
> SQL ExecuteSQLRecord properties
> !image-2022-03-01-14-09-59-372.png!
> Spark. data reader result is error
> !image-2022-03-01-14-00-57-874.png!
>
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