oracle12c中如何導入java的jar文件

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1、創建表空間
[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、創建用戶并授權
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用戶連接數據庫執行jar包導入
需要將commons-math4-3.0.jar文件上傳至/home/oracle/files/下
使用dbms_java.loadjava導入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數據庫創建java代碼

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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