[jira] [Assigned] (SPARK-36552) varchar datatype behave differently on hive table and datasource table
[ https://issues.apache.org/jira/browse/SPARK-36552?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Hyukjin Kwon reassigned SPARK-36552: Assignee: Kent Yao > varchar datatype behave differently on hive table and datasource table > > > Key: SPARK-36552 > URL: https://issues.apache.org/jira/browse/SPARK-36552 > Project: Spark > Issue Type: Bug > Components: SQL >Affects Versions: 2.3.1, 3.1.1, 3.1.2 >Reporter: ocean >Assignee: Kent Yao >Priority: Major > > in spark 3.1.X, when set spark.sql.hive.convertMetastoreOrc=false,and > spark.sql.legacy.charVarcharAsString=true. > Execute the following sql: > CREATE TABLE t (col varchar(2)) stored as orc; > INSERT INTO t SELECT 'aaa'; > select * from t; > result is aa > > But when set spark.sql.hive.convertMetastoreOrc=true,and > spark.sql.legacy.charVarcharAsString=true > alse execute the sql, the result is "aaa" > > > > -- This message was sent by Atlassian Jira (v8.3.4#803005) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Assigned] (SPARK-36552) varchar datatype behave differently on hive table and datasource table
[ https://issues.apache.org/jira/browse/SPARK-36552?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-36552: Assignee: (was: Apache Spark) > varchar datatype behave differently on hive table and datasource table > > > Key: SPARK-36552 > URL: https://issues.apache.org/jira/browse/SPARK-36552 > Project: Spark > Issue Type: Bug > Components: SQL >Affects Versions: 2.3.1, 3.1.1, 3.1.2 >Reporter: ocean >Priority: Major > > in spark 3.1.X, when set spark.sql.hive.convertMetastoreOrc=false,and > spark.sql.legacy.charVarcharAsString=true. > Execute the following sql: > CREATE TABLE t (col varchar(2)) stored as orc; > INSERT INTO t SELECT 'aaa'; > select * from t; > result is aa > > But when set spark.sql.hive.convertMetastoreOrc=true,and > spark.sql.legacy.charVarcharAsString=true > alse execute the sql, the result is "aaa" > > > > -- This message was sent by Atlassian Jira (v8.3.4#803005) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Assigned] (SPARK-36552) varchar datatype behave differently on hive table and datasource table
[ https://issues.apache.org/jira/browse/SPARK-36552?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-36552: Assignee: Apache Spark > varchar datatype behave differently on hive table and datasource table > > > Key: SPARK-36552 > URL: https://issues.apache.org/jira/browse/SPARK-36552 > Project: Spark > Issue Type: Bug > Components: SQL >Affects Versions: 2.3.1, 3.1.1, 3.1.2 >Reporter: ocean >Assignee: Apache Spark >Priority: Major > > in spark 3.1.X, when set spark.sql.hive.convertMetastoreOrc=false,and > spark.sql.legacy.charVarcharAsString=true. > Execute the following sql: > CREATE TABLE t (col varchar(2)) stored as orc; > INSERT INTO t SELECT 'aaa'; > select * from t; > result is aa > > But when set spark.sql.hive.convertMetastoreOrc=true,and > spark.sql.legacy.charVarcharAsString=true > alse execute the sql, the result is "aaa" > > > > -- This message was sent by Atlassian Jira (v8.3.4#803005) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
