Apache 有没有办法在配置单元UDF中获取数据库名称

我正在写一个蜂巢UDF

我必须获得数据库的名称（函数部署在中）。然后，我需要根据数据库环境从hdfs访问一些文件。您能否帮助我使用哪个函数从配置单元UDF运行HQL查询

编写UDF类并准备jar文件

在配置单元查询中使用此UDF，如下所述

hive>使用mydb； 好啊 所用时间：0.454秒

hive> ADD jar /root/MyUdf.jar;
Added [/root/MyUdf.jar] to class path
Added resources: [/root/MyUdf.jar]

hive> create temporary function myUdfFunction as 'com.hiveudf.strmnp.MyHiveUdf';
OK
Time taken: 0.018 seconds

hive> select myUdfFunction(username,current_database()) from users;
Query ID = root_20170407151010_2ae29523-cd9f-4585-b334-e0b61db2c57b
Total jobs = 1
Launching Job 1 out of 1
Number of reduce tasks is set to 0 since there's no reduce operator
Starting Job = job_1491484583384_0004, Tracking URL = http://mac127:8088/proxy/application_1491484583384_0004/
Kill Command = /opt/cloudera/parcels/CDH-5.9.0-1.cdh5.9.0.p0.23/lib/hadoop/bin/hadoop job  -kill job_1491484583384_0004
Hadoop job information for Stage-1: number of mappers: 1; number of reducers: 0
2017-04-07 15:11:11,376 Stage-1 map = 0%,  reduce = 0%
2017-04-07 15:11:19,766 Stage-1 map = 100%,  reduce = 0%, Cumulative CPU 3.12 sec
MapReduce Total cumulative CPU time: 3 seconds 120 msec
Ended Job = job_1491484583384_0004
MapReduce Jobs Launched:
Stage-Stage-1: Map: 1   Cumulative CPU: 3.12 sec   HDFS Read: 21659 HDFS Write: 381120 SUCCESS
Total MapReduce CPU Time Spent: 3 seconds 120 msec
OK

mydb.user1
mydb.user2
mydb.user3

Time taken: 2.137 seconds, Fetched: 3 row(s)
hive>

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谢谢你的帮助。如何从UDF执行sql？是否有一个java函数我可以帮助执行HQL？您可以在UDF函数中传递数据库名称，并在那里使用它，要从查询中传递它，您需要使用当前的_数据库（）函数，如从mytable中选择myfunction（current_database（））；这并没有回答我在commentNo中指定的问题，但我仍在试图找出如何获取要从中部署UDF的数据库名称。

hive> ADD jar /root/MyUdf.jar;
Added [/root/MyUdf.jar] to class path
Added resources: [/root/MyUdf.jar]

hive> create temporary function myUdfFunction as 'com.hiveudf.strmnp.MyHiveUdf';
OK
Time taken: 0.018 seconds

hive> select myUdfFunction(username,current_database()) from users;
Query ID = root_20170407151010_2ae29523-cd9f-4585-b334-e0b61db2c57b
Total jobs = 1
Launching Job 1 out of 1
Number of reduce tasks is set to 0 since there's no reduce operator
Starting Job = job_1491484583384_0004, Tracking URL = http://mac127:8088/proxy/application_1491484583384_0004/
Kill Command = /opt/cloudera/parcels/CDH-5.9.0-1.cdh5.9.0.p0.23/lib/hadoop/bin/hadoop job  -kill job_1491484583384_0004
Hadoop job information for Stage-1: number of mappers: 1; number of reducers: 0
2017-04-07 15:11:11,376 Stage-1 map = 0%,  reduce = 0%
2017-04-07 15:11:19,766 Stage-1 map = 100%,  reduce = 0%, Cumulative CPU 3.12 sec
MapReduce Total cumulative CPU time: 3 seconds 120 msec
Ended Job = job_1491484583384_0004
MapReduce Jobs Launched:
Stage-Stage-1: Map: 1   Cumulative CPU: 3.12 sec   HDFS Read: 21659 HDFS Write: 381120 SUCCESS
Total MapReduce CPU Time Spent: 3 seconds 120 msec
OK

mydb.user1
mydb.user2
mydb.user3

Time taken: 2.137 seconds, Fetched: 3 row(s)
hive>