Github user chenghao-intel commented on a diff in the pull request:
https://github.com/apache/spark/pull/4918#discussion_r25918187
--- Diff: sql/core/src/test/scala/org/apache/spark/sql/SQLQuerySuite.scala
---
@@ -1049,4 +1049,14 @@ class SQLQuerySuite extends QueryTest with
BeforeAndAfterAll {
rdd.toDF().registerTempTable("distinctData")
checkAnswer(sql("SELECT COUNT(DISTINCT key,value) FROM distinctData"),
Row(2))
}
+
+ test("SPARK-6145: ORDER BY test for nested fields") {
+ jsonRDD(sparkContext.makeRDD(
+ """{"a": {"b": 1, "a": {"a": 1}}, "c": [{"d": 1}]}""" ::
Nil)).registerTempTable("nestedOrder")
+ // These should be successfully analyzed
+ sql("SELECT 1 FROM nestedOrder ORDER BY a.b").queryExecution.analyzed
+ sql("SELECT a.b FROM nestedOrder ORDER BY a.b").queryExecution.analyzed
+ sql("SELECT 1 FROM nestedOrder ORDER BY a.a.a").queryExecution.analyzed
+ sql("SELECT 1 FROM nestedOrder ORDER BY
c[0].d").queryExecution.analyzed
--- End diff --
I've tried the latest master code in Spark SQL CLI:
```
create table struct1 as select named_struct("a",key, "b", value) as a from
src limit 1;
select 1 from struct1 order by a.b; -- OK
select a.a from struct1 order by a.b; -- failed
select a.a from struct1 order by a.a; -- failed
org.apache.spark.sql.AnalysisException: GetField is not valid on fields of
type StringType;
at
org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveReferences$.resolveGetField(Analyzer.scala:307)
at
org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveReferences$$anonfun$apply$7$$anonfun$applyOrElse$2.applyOrElse(Analyzer.scala:271)
at
org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveReferences$$anonfun$apply$7$$anonfun$applyOrElse$2.applyOrElse(Analyzer.scala:260)
at
org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformUp$1.apply(TreeNode.scala:250)
at
org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformUp$1.apply(TreeNode.scala:250)
at
org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(TreeNode.scala:50)
at
org.apache.spark.sql.catalyst.trees.TreeNode.transformUp(TreeNode.scala:249)
at
org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$5.apply(TreeNode.scala:263)
at scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
at scala.collection.Iterator$class.foreach(Iterator.scala:727)
at scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
```
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