Github user dongjoon-hyun commented on a diff in the pull request:
https://github.com/apache/spark/pull/20705#discussion_r172024043
--- Diff: sql/core/src/test/scala/org/apache/spark/sql/SQLQuerySuite.scala
---
@@ -2150,7 +2150,8 @@ class SQLQuerySuite extends QueryTest with
SharedSQLContext {
test("data source table created in InMemoryCatalog should be able to
read/write") {
withTable("tbl") {
- sql("CREATE TABLE tbl(i INT, j STRING) USING parquet")
+ val provider = spark.sessionState.conf.defaultDataSourceName
--- End diff --
This is `SQLQuerySuite`. The test case is correctly testing its
**purpose**. Every data source have its own capability and limitation. Your
example is only `text` data source's limitation supporting `a single column
schema`, isn't it? For the other `csv/json/orc/parquet` will pass this specific
test.
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