[ https://issues.apache.org/jira/browse/SPARK-14066?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
KaiXinXIaoLei updated SPARK-14066: ---------------------------------- Description: In spark 1.5.1, I run "sh bin/spark-sql --conf spark.sql.dialect=sql", and run query "select percentile(d,array(0,0.2,0.3,1)) as a from t". There is a problem as follows. spark-sql> select percentile(d,array(0,0.2,0.3,1)) as a from t; 16/03/22 17:14:05 INFO HiveMetaStore: 0: get_table : db=default tbl=t 16/03/22 17:14:05 INFO audit: ugi=root ip=unknown-ip-addr cmd=get_table : db=default tbl=t 16/03/22 17:14:06 INFO audit: ugi=root ip=unknown-ip-addr cmd=get_table result=success details=null Error in query: cannot resolve 'array(0,0.2,0.3,1)' due to data type mismatch: input to function array should all be the same type, but it's [int, decimal(1,1), decimal(1,1), int]; was: In spark 1.5.1, I run "sh bin/spark-sql --conf spark.sql.dialect=sql", and run query "select percentile(d,array(0,0.2,0.3,1)) as a from t". spark-sql> select percentile(d,array(0,0.2,0.3,1)) as a from t; 16/03/22 17:14:05 INFO HiveMetaStore: 0: get_table : db=default tbl=t 16/03/22 17:14:05 INFO audit: ugi=root ip=unknown-ip-addr cmd=get_table : db=default tbl=t 16/03/22 17:14:06 INFO audit: ugi=root ip=unknown-ip-addr cmd=get_table result=success details=null Error in query: cannot resolve 'array(0,0.2,0.3,1)' due to data type mismatch: input to function array should all be the same type, but it's [int, decimal(1,1), decimal(1,1), int]; > Set "spark.sql.dialect=sql", there is a problen in running query "select > percentile(d,array(0,0.2,0.3,1)) as a from t;" > ------------------------------------------------------------------------------------------------------------------------- > > Key: SPARK-14066 > URL: https://issues.apache.org/jira/browse/SPARK-14066 > Project: Spark > Issue Type: Bug > Components: SQL > Affects Versions: 1.5.1 > Reporter: KaiXinXIaoLei > Fix For: 2.0.0 > > > In spark 1.5.1, I run "sh bin/spark-sql --conf spark.sql.dialect=sql", and > run query "select percentile(d,array(0,0.2,0.3,1)) as a from t". There is a > problem as follows. > spark-sql> select percentile(d,array(0,0.2,0.3,1)) as a from t; > 16/03/22 17:14:05 INFO HiveMetaStore: 0: get_table : db=default tbl=t > 16/03/22 17:14:05 INFO audit: ugi=root ip=unknown-ip-addr cmd=get_table > : db=default tbl=t > 16/03/22 17:14:06 INFO audit: ugi=root ip=unknown-ip-addr cmd=get_table > result=success details=null > Error in query: cannot resolve 'array(0,0.2,0.3,1)' due to data type > mismatch: input to function array should all be the same type, but it's [int, > decimal(1,1), decimal(1,1), int]; -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org