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https://issues.apache.org/jira/browse/SPARK-19742?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15885399#comment-15885399
]
Song Jun commented on SPARK-19742:
----------------------------------
this is expected, see the comment.
{code}
/**
* Inserts the content of the `DataFrame` to the specified table. It requires
that
* the schema of the `DataFrame` is the same as the schema of the table.
*
* @note Unlike `saveAsTable`, `insertInto` ignores the column names and just
uses position-based
* resolution. For example:
*
* {{{
* scala> Seq((1, 2)).toDF("i",
"j").write.mode("overwrite").saveAsTable("t1")
* scala> Seq((3, 4)).toDF("j", "i").write.insertInto("t1")
* scala> Seq((5, 6)).toDF("a", "b").write.insertInto("t1")
* scala> sql("select * from t1").show
* +---+---+
* | i| j|
* +---+---+
* | 5| 6|
* | 3| 4|
* | 1| 2|
* +---+---+
* }}}
*
* Because it inserts data to an existing table, format or options will be
ignored.
*
* @since 1.4.0
*/
def insertInto(tableName: String): Unit = {
insertInto(df.sparkSession.sessionState.sqlParser.parseTableIdentifier(tableName))
}
{code}
> 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
>
> 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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