oracle12c中如何导入java的jar文件

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1、创建表空间[oracle@host01 /]$ sqlplus / as sysdba

SQL*Plus: Release 12.1.0.2.0 Production on Thu Dec 21 15:29:33 2017

Copyright (c) 1982, 2014, Oracle.  All rights reserved.

Connected to:

Oracle Database 12c Enterprise Edition Release 12.1.0.2.0 - 64bit Production

With the Partitioning, OLAP, Advanced Analytics and Real Application Testing options

SQL> alter session set container=xfpdb;SQL> create tablespace xftbs datafile /u01/app/oracle/oradata/PRODCDB/xfpdb/xftbs01.dbf size 10m;

Tablespace created.

2、创建用户并授权SQL> create user xf identified by xf default tablespace xftbs quota unlimited on xftbs;

User created.

SQL> grant connect ,resource to xf;

Grant succeeded.

3、使用xf用户连接数据库执行jar包导入

需要将commons-math4-3.0.jar文件上传至/home/oracle/files/下

使用dbms_java.loadjava导入jar包

[oracle@host01 admin]$ sqlplus xf/xf@192.168.56.101:1521/xfpdb.example.com

SQL*Plus: Release 12.1.0.2.0 Production on Tue Dec 19 13:58:13 2017

Copyright (c) 1982, 2014, Oracle.  All rights reserved.

Connected to:

Oracle Database 12c Enterprise Edition Release 12.1.0.2.0 - 64bit Production

With the Partitioning, OLAP, Advanced Analytics and Real Application Testing options

SQL> call dbms_java.loadjava(-v -r PUBLIC -sysnonym /home/oracle/files/commons-math4-3.0.jar);

Call completed.

SQL> begin dbms_java.loadjava(-v -r PUBLIC -sysnonym /home/oracle/files/commons-math4-3.0.jar);      end;     /

PL/SQL procedure successfully completed.

SQL> exec dbms_java.loadjava(-v -r PUBLIC -sysnonym /home/oracle/files/commons-math4-3.0.jar);

PL/SQL procedure successfully completed.

或者使用loadjava命令[oracle@host01 admin]$ loadjava -force -thin -user xf/xf@192.168.56.101:1521/xfpdb.example.com -resolve /home/oracle/files/commons-math4-3.0.jar 4、在Oracle数据库创建java代码

SQL> create or replace and compile java source named jar_norm as

2  import org.apache.commons.math4.distribution.NormalDistribution;

  3  public class jar_norm {

  4     public static double s_inv(double s){

5     NormalDistribution normalDistribution =new NormalDistribution(0,1);

6     double S1=normalDistribution.inverseCumulativeProbability(s);

  7     return S1;

  8     }

  9     public static double s_dist_c(double s){

10     NormalDistribution normalDistribution =new NormalDistribution(0,1);

11     double S1=normalDistribution.cumulativeProbability(s);

 12     return S1;

 13     }

 14  }

 15  /

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