[
https://issues.apache.org/jira/browse/SPARK-27688?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16892580#comment-16892580
]
Yuming Wang commented on SPARK-27688:
-------------------------------------
{code:sh}
build/sbt clean package -Phive -Phive-thriftserver -Phadoop-3.2
export SPARK_PREPEND_CLASSES=true
sbin/stop-thriftserver.sh
{code}
{noformat}
[root@spark-3267648 apache-spark]# bin/beeline -u
jdbc:hive2://localhost:10000/default --showDbInPrompt
NOTE: SPARK_PREPEND_CLASSES is set, placing locally compiled Spark classes
ahead of assembly.
log4j:WARN No appenders could be found for logger
(org.apache.hadoop.util.Shell).
log4j:WARN Please initialize the log4j system properly.
log4j:WARN See http://logging.apache.org/log4j/1.2/faq.html#noconfig for more
info.
Connecting to jdbc:hive2://localhost:10000/default
Connected to: Spark SQL (version 3.0.0-SNAPSHOT)
Driver: Hive JDBC (version 2.3.5)
Transaction isolation: TRANSACTION_REPEATABLE_READ
Beeline version 2.3.5 by Apache Hive
0: jdbc:hive2://localhost:10000/default (default)> use db2;
+---------+
| Result |
+---------+
+---------+
No rows selected (0.168 seconds)
0: jdbc:hive2://localhost:10000/default (db2)>
0: jdbc:hive2://localhost:10000/default (db2)> use db1;
+---------+
| Result |
+---------+
+---------+
No rows selected (0.091 seconds)
0: jdbc:hive2://localhost:10000/default (db1)>
0: jdbc:hive2://localhost:10000/default (db1)>
{noformat}
> Beeline should show database in the prompt
> ------------------------------------------
>
> Key: SPARK-27688
> URL: https://issues.apache.org/jira/browse/SPARK-27688
> Project: Spark
> Issue Type: Sub-task
> Components: SQL
> Affects Versions: 2.4.3
> Reporter: Sandeep Katta
> Priority: Minor
>
> Since [HIVE-14123|https://issues.apache.org/jira/browse/HIVE-14123] supports
> display of database in beeline. Spark should also support this
--
This message was sent by Atlassian JIRA
(v7.6.14#76016)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org
