Mateusz Boryn created SPARK-19580:
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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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