You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "bing huang (JIRA)" <ji...@apache.org> on 2017/05/25 06:31:04 UTC

[jira] [Created] (SPARK-20879) Spark SQL will read Date type column from avro file as Int

bing huang created SPARK-20879:
----------------------------------

             Summary: Spark SQL will read Date type column from avro file as Int
                 Key: SPARK-20879
                 URL: https://issues.apache.org/jira/browse/SPARK-20879
             Project: Spark
          Issue Type: Bug
          Components: SQL
    Affects Versions: 2.1.1, 2.1.0, 2.0.2, 2.0.1, 2.0.0, 1.6.3, 1.6.2, 1.6.1, 1.6.0
            Reporter: bing huang


I was using the following code and attached avro file.
In the avro file we have 5 columns named (date1, date2, date3, start_date,end_date) with type (string, string, date, string, string) respectively.
You can use hive to verify the type of columns either by "select * from 000000_0.avro" or "describe 000000_0.avro".

The code of spark sql as below, as you can see the 3rd column's result is int.
    val conf = new SparkConf().setAppName("test").setMaster("local[3]")
    val sc = new SparkContext(conf)
    val sqlContext = new SQLContext(sc)
    val df = sqlContext.read.avro("000000_0.avro")
    df.show(false)




--
This message was sent by Atlassian JIRA
(v6.3.15#6346)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org