You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2017/11/14 11:17:00 UTC
[jira] [Commented] (SPARK-22267) Spark SQL incorrectly reads ORC
file when column order is different
[ https://issues.apache.org/jira/browse/SPARK-22267?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16251250#comment-16251250 ]
Apache Spark commented on SPARK-22267:
--------------------------------------
User 'mpetruska' has created a pull request for this issue:
https://github.com/apache/spark/pull/19744
> Spark SQL incorrectly reads ORC file when column order is different
> -------------------------------------------------------------------
>
> Key: SPARK-22267
> URL: https://issues.apache.org/jira/browse/SPARK-22267
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 1.6.3, 2.0.2, 2.1.0, 2.2.0
> Reporter: Dongjoon Hyun
>
> For a long time, Apache Spark SQL returns incorrect results when ORC file schema is different from metastore schema order.
> {code}
> scala> Seq(1 -> 2).toDF("c1", "c2").write.format("parquet").mode("overwrite").save("/tmp/p")
> scala> Seq(1 -> 2).toDF("c1", "c2").write.format("orc").mode("overwrite").save("/tmp/o")
> scala> sql("CREATE EXTERNAL TABLE p(c2 INT, c1 INT) STORED AS parquet LOCATION '/tmp/p'")
> scala> sql("CREATE EXTERNAL TABLE o(c2 INT, c1 INT) STORED AS orc LOCATION '/tmp/o'")
> scala> spark.table("p").show // Parquet is good.
> +---+---+
> | c2| c1|
> +---+---+
> | 2| 1|
> +---+---+
> scala> spark.table("o").show // This is wrong.
> +---+---+
> | c2| c1|
> +---+---+
> | 1| 2|
> +---+---+
> scala> spark.read.orc("/tmp/o").show // This is correct.
> +---+---+
> | c1| c2|
> +---+---+
> | 1| 2|
> +---+---+
> {code}
> *TESTCASE*
> {code}
> test("SPARK-22267 Spark SQL incorrectly reads ORC files when column order is different") {
> withTempDir { dir =>
> val path = dir.getCanonicalPath
> Seq(1 -> 2).toDF("c1", "c2").write.format("orc").mode("overwrite").save(path)
> checkAnswer(spark.read.orc(path), Row(1, 2))
> Seq("true", "false").foreach { value =>
> withTable("t") {
> withSQLConf(HiveUtils.CONVERT_METASTORE_ORC.key -> value) {
> sql(s"CREATE EXTERNAL TABLE t(c2 INT, c1 INT) STORED AS ORC LOCATION '$path'")
> checkAnswer(spark.table("t"), Row(2, 1))
> }
> }
> }
> }
> }
> {code}
--
This message was sent by Atlassian JIRA
(v6.4.14#64029)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org