Github user dilipbiswal commented on a diff in the pull request:
https://github.com/apache/spark/pull/22868#discussion_r229062732
--- Diff: docs/sql-migration-guide-hive-compatibility.md ---
@@ -51,6 +51,22 @@ Spark SQL supports the vast majority of Hive features,
such as:
* Explain
* Partitioned tables including dynamic partition insertion
* View
+ * If column aliases are not specified in view definition queries, both
Spark and Hive will
+ generate alias names, but in different ways. In order for Spark to be
able to read views created
+ by Hive, users should explicitly specify column aliases in view
definition queries. As an
+ example, Spark cannot read `v1` created as below by Hive.
+
+ ```
+ CREATE TABLE t1 (c1 INT, c2 STRING);
+ CREATE VIEW v1 AS SELECT * FROM (SELECT c1 + 1, upper(c2) FROM t1) t2;
--- End diff --
@dongjoon-hyun i was thinking, calling upper on a int column is probably
not very intuitive :-)
What do you think about adding a string literal in the projection ?
```
SELECT c + 1, upper(d) FROM select 1 c, 'test' as d
```
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