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Posted to issues@spark.apache.org by "Hyukjin Kwon (JIRA)" <ji...@apache.org> on 2019/05/21 04:00:23 UTC
[jira] [Updated] (SPARK-19742) When using SparkSession to write a
dataset to Hive the schema is ignored
[ https://issues.apache.org/jira/browse/SPARK-19742?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Hyukjin Kwon updated SPARK-19742:
---------------------------------
Labels: bulk-closed (was: )
> When using SparkSession to write a dataset to Hive the schema is ignored
> ------------------------------------------------------------------------
>
> Key: SPARK-19742
> URL: https://issues.apache.org/jira/browse/SPARK-19742
> Project: Spark
> Issue Type: Bug
> Components: Java API
> Affects Versions: 2.0.1
> Environment: Running on Ubuntu with HDP 2.4.
> Reporter: Navin Goel
> Priority: Major
> Labels: bulk-closed
>
> I am saving a Dataset that is created form reading a json and some selects and filters into a hive table. The dataset.write().insertInto function does not look at schema when writing to the table but instead writes in order to the hive table.
> The schemas for both the tables are same.
> schema printed from spark of the dataset being written:
> StructType(StructField(countrycode,StringType,true), StructField(systemflag,StringType,true), StructField(classcode,StringType,true), StructField(classname,StringType,true), StructField(rangestart,StringType,true), StructField(rangeend,StringType,true), StructField(tablename,StringType,true), StructField(last_updated_date,TimestampType,true))
> Schema of the dataset after loading the same table from Hive:
> StructType(StructField(systemflag,StringType,true), StructField(RangeEnd,StringType,true), StructField(classcode,StringType,true), StructField(classname,StringType,true), StructField(last_updated_date,TimestampType,true), StructField(countrycode,StringType,true), StructField(rangestart,StringType,true), StructField(tablename,StringType,true))
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