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https://issues.apache.org/jira/browse/SPARK-19742?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hyukjin Kwon resolved SPARK-19742.
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Resolution: Incomplete
> 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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