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Igor Ngouagna commented on SPARK-27203: --------------------------------------- I thought "UNION ALL" was part of the issue here, but no.. if I remove it and just select from one table, I still got a compil error: {code:bash} Error: Error while compiling statement: FAILED: SemanticException line 1:593 missing ) at 'NULLS' near 'LAST' in subquery source line 1:599 missing ) at 'LAST' near 'LAST' in subquery source line 1:604 missing ) at 'ROWS' near 'LAST' in subquery source in definition of VIEW test_cte_view [ SELECT `gen_attr_0` AS `id`, `gen_attr_1` AS `status`, `gen_attr_2` AS `idate` FROM (SELECT `gen_attr_0`, `gen_attr_1`, `gen_attr_2` FROM (SELECT `gen_attr_0`, `gen_attr_1`, `gen_attr_2` FROM (SELECT `id` AS `gen_attr_0`, `status` AS `gen_attr_1`, `idate` AS `gen_attr_2` FROM `db`.`test_cte`) AS gen_subquery_0) AS cte INNER JOIN (SELECT `gen_attr_3`, `gen_attr_4`, `gen_attr_5` FROM (SELECT `gen_attr_3`, `gen_attr_4`, `gen_attr_5` FROM (SELECT gen_subquery_2.`gen_attr_3`, gen_subquery_2.`gen_attr_4`, row_number() OVER (PARTITION BY `gen_attr_3` ORDER BY `gen_attr_4` DESC NULLS LAST ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW) AS `gen_attr_5` FROM (SELECT `gen_attr_3`, `gen_attr_4` FROM (SELECT `gen_attr_3`, `gen_attr_6`, `gen_attr_4` FROM (SELECT `id` AS `gen_attr_3`, `status` AS `gen_attr_6`, `idate` AS `gen_attr_4` FROM `db`.`test_cte`) AS gen_subquery_1) AS cte) AS gen_subquery_2) AS gen_subquery_3) AS tmp WHERE (`gen_attr_5` = 1)) AS tmp_2 ON ((`gen_attr_0` = `gen_attr_3`) AND (`gen_attr_2` = `gen_attr_4`))) AS cte ] used as test_cte_view at Line 1:14 (state=42000,code=40000) {code} > Spark Fails to read a view using CTE (WITH clause) and created via beeline > --------------------------------------------------------------------------- > > Key: SPARK-27203 > URL: https://issues.apache.org/jira/browse/SPARK-27203 > Project: Spark > Issue Type: Bug > Components: SQL > Affects Versions: 2.1.1 > Reporter: Igor Ngouagna > Priority: Major > > Spark fails when trying to read a view which code involve CTE, and which is > created via beeline. > For example, considering the following view, created via Beeline: > {code:sql} > create view db.test as > with q1 as (select 1 as n) > select n from q1 > {code} > When you do > {code:java} > spark.sql("select * from db.test").show() > {code} > The output is like > {code} > 'Table or view not found: q1; line 2 pos 14' > Traceback (most recent call last): > File > "/DATA/fs11/hadoop/yarn/local/usercache/ingouagn/appcache/application_1552973526615_3878/container_e380_1552973526615_3878_01_000001/pyspark.zip/pyspark/sql/session.py", > line 545, in sql > return DataFrame(self._jsparkSession.sql(sqlQuery), self._wrapped) > File > "/DATA/fs11/hadoop/yarn/local/usercache/ingouagn/appcache/application_1552973526615_3878/container_e380_1552973526615_3878_01_000001/py4j-0.10.4-src.zip/py4j/java_gateway.py", > line 1133, in __call__ > answer, self.gateway_client, self.target_id, self.name) > File > "/DATA/fs11/hadoop/yarn/local/usercache/ingouagn/appcache/application_1552973526615_3878/container_e380_1552973526615_3878_01_000001/pyspark.zip/pyspark/sql/utils.py", > line 69, in deco > raise AnalysisException(s.split(': ', 1)[1], stackTrace) > pyspark.sql.utils.AnalysisException: 'Table or view not found: q1; line 2 pos > 14' > {code} > > *Spark: 2.1.1* > *Beeline: 1.2.1000* > -- This message was sent by Atlassian JIRA (v7.6.3#76005) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org