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Posted to issues@spark.apache.org by "Mateusz Boryn (JIRA)" <ji...@apache.org> on 2017/02/13 13:56:41 UTC

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

Mateusz Boryn created SPARK-19580:
-------------------------------------

             Summary: 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: 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}
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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