Github user chuxi commented on a diff in the pull request:
https://github.com/apache/spark/pull/2082#discussion_r16541208
--- Diff: sql/core/src/test/scala/org/apache/spark/sql/json/JsonSuite.scala
---
@@ -292,24 +292,29 @@ class JsonSuite extends QueryTest {
sql("select structWithArrayFields.field1[1],
structWithArrayFields.field2[3] from jsonTable"),
(5, null) :: Nil
)
- }
- ignore("Complex field and type inferring (Ignored)") {
- val jsonSchemaRDD = jsonRDD(complexFieldAndType)
- jsonSchemaRDD.registerTempTable("jsonTable")
+ checkAnswer(
+ sql("select arrayOfStruct.field1, arrayOfStruct.field2 from
jsonTable"),
+ (Seq(true, false, null), Seq("str1", null, null)) :: Nil
+ )
- // Right now, "field1" and "field2" are treated as aliases. We should
fix it.
checkAnswer(
sql("select arrayOfStruct[0].field1, arrayOfStruct[0].field2 from
jsonTable"),
(true, "str1") :: Nil
)
- // Right now, the analyzer cannot resolve arrayOfStruct.field1 and
arrayOfStruct.field2.
- // Getting all values of a specific field from an array of structs.
+ }
+
+ ignore("Complex field and type inferring (Ignored)") {
+ val jsonSchemaRDD = jsonRDD(complexFieldAndType)
+ jsonSchemaRDD.registerTempTable("jsonTable")
+
+ // still need add filter??? I am not sure whether this function is
necessary. quite complex
checkAnswer(
- sql("select arrayOfStruct.field1, arrayOfStruct.field2 from
jsonTable"),
- (Seq(true, false), Seq("str1", null)) :: Nil
+ sql("select arrayOfStruct.field1 from jsonTable where
arrayOfStruct.field1 = true"),
--- End diff --
I add sql("select arrayOfStruct.field1 from jsonTable where
arrayOfStruct.field1 = true") this test case in ignored part. It does not work
because I came up with it but did not solve it. Or it makes no sense to solve
it.
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