Chenxiao Mao created SPARK-25833:
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Summary: Views without column names created by Hive is not
readable by Spark
Key: SPARK-25833
URL: https://issues.apache.org/jira/browse/SPARK-25833
Project: Spark
Issue Type: Bug
Components: SQL
Affects Versions: 2.3.2
Reporter: Chenxiao Mao
A simple example to reproduce this issue.
create a view via Hive CLI:
{code:sql}
hive> CREATE VIEW v1 AS SELECT * FROM (SELECT 1) t1
{code}
query that view via Spark
{code:sql}
spark-sql> select * from v1;
Error in query: cannot resolve '`t1._c0`' given input columns: [1]; line 1 pos
7;
'Project [*]
+- 'SubqueryAlias v1, `default`.`v1`
+- 'Project ['t1._c0]
+- SubqueryAlias t1
+- Project [1 AS 1#41]
+- OneRowRelation$
{code}
Check the view definition:
{code:sql}
hive> desc extended v1;
OK
_c0 int
...
viewOriginalText:SELECT * FROM (SELECT 1) t1,
viewExpandedText:SELECT `t1`.`_c0` FROM (SELECT 1) `t1`
...
{code}
_c0 in above view definition is automatically generated by Hive, which is not
recognizable by Spark.
see [Hive
LanguageManual|https://cwiki.apache.org/confluence/pages/viewpage.action?pageId=30746446&navigatingVersions=true#LanguageManualDDL-CreateView]
for more details:
{quote}If no column names are supplied, the names of the view's columns will be
derived automatically from the defining SELECT expression. (If the SELECT
contains unaliased scalar expressions such as x+y, the resulting view column
names will be generated in the form _C0, _C1, etc.)
{quote}
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