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https://issues.apache.org/jira/browse/SPARK-15595?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sudarshan Lamkhede resolved SPARK-15595.
----------------------------------------
    Resolution: Invalid

Seems to be specific to the custom spark distribution I am using.

> DataFrame.write.mode(SaveMode.Append).insertInto(TABLE) overwrites 
> non-partitioned table
> ----------------------------------------------------------------------------------------
>
>                 Key: SPARK-15595
>                 URL: https://issues.apache.org/jira/browse/SPARK-15595
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 1.5.2
>            Reporter: Sudarshan Lamkhede
>
> See the examples below
> {noformat}
> scala> sqlContext.sql("""CREATE TABLE IF NOT EXISTS noparts (model_name 
> STRING, dateint INT) STORED AS PARQUET""")
> res0: org.apache.spark.sql.DataFrame = [result: string]
> scala> sqlContext.sql("""CREATE TABLE IF NOT EXISTS parts (model_name STRING) 
> PARTITIONED BY (dateint INT) STORED AS PARQUET""")
> res1: org.apache.spark.sql.DataFrame = [result: string]
> scala> sqlContext.sql("select * from noparts").show()
> +----------+-------+
> |model_name|dateint|
> +----------+-------+
> +----------+-------+
> scala> sqlContext.sql("select * from parts").show()
> +----------+-------+
> |model_name|dateint|
> +----------+-------+
> +----------+-------+
> scala> import sqlContext.implicits._
> import sqlContext.implicits._
> scala> val df1 = sc.parallelize(Array(("before", 1)), 1).toDF("model_name", 
> "dateint")
> df1: org.apache.spark.sql.DataFrame = [model_name: string, dateint: int]
> scala> val df2 = sc.parallelize(Array(("after", 2)), 1).toDF("model_name", 
> "dateint")
> df2: org.apache.spark.sql.DataFrame = [model_name: string, dateint: int]
> scala> import org.apache.spark.sql.SaveMode
> import org.apache.spark.sql.SaveMode
> scala> df1.write.mode(SaveMode.Append).insertInto("noparts")
> {noformat}
> This inserts one record
> {noformat}
> scala> sqlContext.sql("select * from noparts").show()
> +----------+-------+
> |model_name|dateint|
> +----------+-------+
> |    before|      1|
> +----------+-------+
> {noformat}
> But subsequent writes overwrite it
> {noformat}
> scala> df2.write.mode(SaveMode.Append).insertInto("noparts")
> scala> sqlContext.sql("select * from noparts").show()
> +----------+-------+
> |model_name|dateint|
> +----------+-------+
> |     after|      2|
> +----------+-------+
> {noformat}
> That does not happen with partitioned table
> {noformat}
> scala> df1.write.mode(SaveMode.Append).insertInto("parts")
> scala> sqlContext.sql("select * from parts").show()
> +----------+-------+
> |model_name|dateint|
> +----------+-------+
> |    before|      1|
> +----------+-------+
> scala> df2.write.mode(SaveMode.Append).insertInto("parts")
> scala> sqlContext.sql("select * from parts").show()
> +----------+-------+
> |model_name|dateint|
> +----------+-------+
> |    before|      1|
> |     after|      2|
> +----------+-------+
> {noformat}



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