[ https://issues.apache.org/jira/browse/SPARK-3823?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Yin Huai resolved SPARK-3823. ----------------------------- Resolution: Duplicate I believe that it has been resolved by SPARK-3559. > Spark Hive SQL readColumn is not reset each time for a new query > ---------------------------------------------------------------- > > Key: SPARK-3823 > URL: https://issues.apache.org/jira/browse/SPARK-3823 > Project: Spark > Issue Type: Bug > Components: SQL > Affects Versions: 1.1.0 > Reporter: Alex Liu > > After a few queries running in the same hiveContext, > "hive.io.file.readcolumn.ids"" and "hive.io.file.readcolumn.names" values are > added on by pre-running queries. > e.g. running the following querys > {code} > hql("use sql_integration_ks") > val container = hql("select * from double_table as aa JOIN boolean_table as > bb on aa.type_id = bb.type_id") > container.collect().foreach(println) > val container = hql("select * from ascii_table ORDER BY type_id") > container.collect().foreach(println) > val container = hql("select shippers.shippername, COUNT(orders.orderid) AS > numorders FROM orders LEFT JOIN shippers ON > orders.shipperid=shippers.shipperid GROUP BY shippername") > container.collect().foreach(println) > val container = hql("select * from ascii_table where type_id > 126") > container.collect().length > {code} > The read column ids for the last query are [2, 0, 3, 1] > read column names are : > type_id,value,type_id,value,type_id,value,orderid,shipperid,shipper name, > shipperid > The source code is at > https://github.com/apache/spark/blob/master/sql/hive/src/main/scala/org/apache/spark/sql/hive/execution/HiveTableScan.scala#L80 > hiveContext has a shared hiveconf which add readColumns for each query. It > should be reset each time for a new hive query or remove the duplicate > readColumn Ids -- 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