GitHub user maropu opened a pull request: https://github.com/apache/spark/pull/16410
[SPARK-19005][SQL] Keep column ordering when a schema is explicitly specified ## What changes were proposed in this pull request? This pr is to keep column ordering when a schema is explicitly specified. A concrete example is as follows; ``` scala> import org.apache.spark.sql.types._ scala> case class A(a: Long, b: Int) scala> val as = Seq(A(1, 2)) scala> spark.createDataFrame(as).write.parquet("/Users/maropu/Desktop/data/a=1/") scala> val df = spark.read.parquet("/Users/maropu/Desktop/data/") scala> df.printSchema root |-- a: integer (nullable = true) |-- b: integer (nullable = true) scala> val schema = new StructType().add("a", LongType).add("b", IntegerType) scala> val df = spark.read.schema(schema).parquet("/Users/maropu/Desktop/data/") scala> df.printSchema root |-- b: integer (nullable = true) |-- a: long (nullable = true) ``` This fix removes the code to filter out the overlapped fields of a data schema in `getOrInferFileFormatSchema`. Then, it respects column ordering in `HadoopFsRelation#schema`. ## How was this patch tested? Added tests in `ParquetPartitionDiscoverySuite` and change some tests in `InsertIntoHiveTableSuite` and `MetastoreDataSourcesSuite`. You can merge this pull request into a Git repository by running: $ git pull https://github.com/maropu/spark SPARK-19005 Alternatively you can review and apply these changes as the patch at: https://github.com/apache/spark/pull/16410.patch To close this pull request, make a commit to your master/trunk branch with (at least) the following in the commit message: This closes #16410 ---- commit 9174e7c0686ddcd963a0232250dbcc50062d750b Author: Takeshi YAMAMURO <linguin....@gmail.com> Date: 2016-12-23T13:42:46Z Keep column ordering when a schema is explicitly specified ---- --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- --------------------------------------------------------------------- To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org