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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2017/11/18 09:03:02 UTC

[jira] [Assigned] (SPARK-19580) Support for avro.schema.url while writing to hive table

     [ https://issues.apache.org/jira/browse/SPARK-19580?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Apache Spark reassigned SPARK-19580:
------------------------------------

    Assignee:     (was: Apache Spark)

> Support for avro.schema.url while writing to hive table
> -------------------------------------------------------
>
>                 Key: SPARK-19580
>                 URL: https://issues.apache.org/jira/browse/SPARK-19580
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 1.6.3, 2.1.0
>            Reporter: Mateusz Boryn
>            Priority: Critical
>
> Support for writing to Hive table which uses Avro schema pointed to by avro.schema.url is missing. 
> I have Hive table with Avro data format. Table is created with query like this:
> {code:sql}
> CREATE TABLE some_table
>   PARTITIONED BY (YEAR int, MONTH int, DAY int)
>   ROW FORMAT SERDE
>         'org.apache.hadoop.hive.serde2.avro.AvroSerDe'
>       STORED AS INPUTFORMAT
>         'org.apache.hadoop.hive.ql.io.avro.AvroContainerInputFormat'
>       OUTPUTFORMAT
>         'org.apache.hadoop.hive.ql.io.avro.AvroContainerOutputFormat'
>       LOCATION 'hdfs:///user/some_user/some_table'
>       TBLPROPERTIES (
>         'avro.schema.url'='hdfs:///user/some_user/some_table.avsc'
>       )
> {code}
> Please notice that there is `avro.schema.url` and not `avro.schema.literal` property, as we have to keep schemas in separate files for some reasons.
> Trying to write to such table results in NPE.
> Tried to find workaround for this, but nothing helps. Tried:
>     - setting df.write.option("avroSchema", avroSchema) with explicit schema in string
>     - changing TBLPROPERTIES to SERDEPROPERTIES
>     - replacing explicit detailed SERDE specification with STORED AS AVRO
> I found that this can be solved by adding a couple of lines in `org.apache.spark.sql.hive.HiveShim` next to `AvroSerdeUtils.AvroTableProperties.SCHEMA_LITERAL` is referenced.



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