Linux/Unix 下除了调用SQL之外,调用PL/SQL也是DBA经常碰到的情形,下面主要通过一些示例给出如何在shell下面来调用pl/sql。
Linux/Unix 下除了调用SQL之外,调用PL/SQL也是DBA经常碰到的情形,下面主要通过一些示例给出如何在shell下面来调用pl/sql。
其它相关的参考:
Linux/Unix shell 脚本中调用SQL,RMAN脚本
Linux/Unix shell sql 之间传递变量
1、将pl/sql代码逐行输入到临时文件
robin@SZDB:~/dba_scripts/custom/bin> more shell_call_plsql.sh
#/bin/bash
# +--------------------------------------------+
# + An example of calling plsql in Shell +
# + Usage: +
# + ./shell_call_plsql.sh $Oracle_SID +
# + Author: Robinson +
# +--------------------------------------------+
#
# ---------------------------------
# Define variable and check SID
# ---------------------------------
if [ -f ~/.bash_profile ]; then
. ~/.bash_profile
fi
if test $# -lt 1
then
echo You must pass a SID
exit
fi
ORACLE_SID=$1; export ORACLE_SID
# ---------------------------------
# Prepare plsql script
# ---------------------------------
echo "set serveroutput on size 1000000" > /tmp/plsql_scr.sql
echo "set feed off" >> /tmp/plsql_scr.sql
echo "declare" >> /tmp/plsql_scr.sql
echo "cursor c1 (param1 varchar2) is" >> /tmp/plsql_scr.sql
echo "select decode(substr(value, 1, 1), '?', param1 || substr(value, 2), value) dd" >> /tmp/plsql_scr.sql
echo "from v\$parameter where name = 'background_dump_dest';" >> /tmp/plsql_scr.sql
echo "v_value v\$parameter.value%type;" >> /tmp/plsql_scr.sql
echo "begin open c1 ('$ORACLE_HOME'); fetch c1 into v_value; close c1;" >> /tmp/plsql_scr.sql
echo "dbms_output.put_line(v_value);" >> /tmp/plsql_scr.sql
echo "end;" >> /tmp/plsql_scr.sql
echo "/" >> /tmp/plsql_scr.sql
# --------------------------------
# Execute plsql script
# --------------------------------
if [ -s /tmp/plsql_scr.sql ]; then
echo -e "Running SQL script to find out bdump directory... \n"
$ORACLE_HOME/bin/sqlplus -s "/ as sysdba" > /tmp/plsql_scr_result.log @/tmp/plsql_scr.sql
EOF
fi
echo " Check the reslut "
echo "------------------------"
cat /tmp/plsql_scr_result.log
exit
#上面的代码是查询指定Oracle SID 的dump路径。
#通过逐行逐行的方式将代码添加到文件以形成pl/sql代码。
#需要注意转义字符的使用,对于parameter 的$符号,我们进行了转义。
robin@SZDB:~/dba_scripts/custom/bin> ./shell_call_plsql.sh CNBO1
Running SQL script to find out bdump directory...
Check the reslut
------------------------
/u02/database/CNBO1/bdump
2、一次性输入pl/sql代码到临时文件
robin@SZDB:~/dba_scripts/custom/bin> more shell_call_plsql_2.sh
#/bin/bash
# +--------------------------------------------+
# + An example of calling plsql in Shell +
# + Usage: +
# + ./shell_call_plsql_2.sh $ORACLE_SID +
# + Author: Robinson +
# +--------------------------------------------+
#
# ---------------------------------
# Define variable and check SID
# ---------------------------------
if [ -f ~/.bash_profile ]; then
. ~/.bash_profile
fi
if test $# -lt 1
then
echo You must pass a SID
exit
fi
ORACLE_SID=$1; export ORACLE_SID
# ---------------------------------
# Prepare plsql script
# ---------------------------------
echo "
set serveroutput on size 1000000
set feed off
declare
cursor c1 (param1 varchar2) is
select decode(substr(value, 1, 1),'?' , param1 || substr(value, 2), value) dd
from v\$parameter where name = 'background_dump_dest';
v_value v\$parameter.value%type;
begin
open c1 ('/users/oracle/OraHome10g');
fetch c1 into v_value; close c1;
dbms_output.put_line(v_value);
end;
/
exit ">/tmp/plsql_scr.sql
# --------------------------------
# Execute plsql script
# --------------------------------

MySQL is an open source relational database management system, mainly used to store and retrieve data quickly and reliably. Its working principle includes client requests, query resolution, execution of queries and return results. Examples of usage include creating tables, inserting and querying data, and advanced features such as JOIN operations. Common errors involve SQL syntax, data types, and permissions, and optimization suggestions include the use of indexes, optimized queries, and partitioning of tables.

MySQL is an open source relational database management system suitable for data storage, management, query and security. 1. It supports a variety of operating systems and is widely used in Web applications and other fields. 2. Through the client-server architecture and different storage engines, MySQL processes data efficiently. 3. Basic usage includes creating databases and tables, inserting, querying and updating data. 4. Advanced usage involves complex queries and stored procedures. 5. Common errors can be debugged through the EXPLAIN statement. 6. Performance optimization includes the rational use of indexes and optimized query statements.

MySQL is chosen for its performance, reliability, ease of use, and community support. 1.MySQL provides efficient data storage and retrieval functions, supporting multiple data types and advanced query operations. 2. Adopt client-server architecture and multiple storage engines to support transaction and query optimization. 3. Easy to use, supports a variety of operating systems and programming languages. 4. Have strong community support and provide rich resources and solutions.

InnoDB's lock mechanisms include shared locks, exclusive locks, intention locks, record locks, gap locks and next key locks. 1. Shared lock allows transactions to read data without preventing other transactions from reading. 2. Exclusive lock prevents other transactions from reading and modifying data. 3. Intention lock optimizes lock efficiency. 4. Record lock lock index record. 5. Gap lock locks index recording gap. 6. The next key lock is a combination of record lock and gap lock to ensure data consistency.

The main reasons for poor MySQL query performance include not using indexes, wrong execution plan selection by the query optimizer, unreasonable table design, excessive data volume and lock competition. 1. No index causes slow querying, and adding indexes can significantly improve performance. 2. Use the EXPLAIN command to analyze the query plan and find out the optimizer error. 3. Reconstructing the table structure and optimizing JOIN conditions can improve table design problems. 4. When the data volume is large, partitioning and table division strategies are adopted. 5. In a high concurrency environment, optimizing transactions and locking strategies can reduce lock competition.

In database optimization, indexing strategies should be selected according to query requirements: 1. When the query involves multiple columns and the order of conditions is fixed, use composite indexes; 2. When the query involves multiple columns but the order of conditions is not fixed, use multiple single-column indexes. Composite indexes are suitable for optimizing multi-column queries, while single-column indexes are suitable for single-column queries.

To optimize MySQL slow query, slowquerylog and performance_schema need to be used: 1. Enable slowquerylog and set thresholds to record slow query; 2. Use performance_schema to analyze query execution details, find out performance bottlenecks and optimize.

MySQL and SQL are essential skills for developers. 1.MySQL is an open source relational database management system, and SQL is the standard language used to manage and operate databases. 2.MySQL supports multiple storage engines through efficient data storage and retrieval functions, and SQL completes complex data operations through simple statements. 3. Examples of usage include basic queries and advanced queries, such as filtering and sorting by condition. 4. Common errors include syntax errors and performance issues, which can be optimized by checking SQL statements and using EXPLAIN commands. 5. Performance optimization techniques include using indexes, avoiding full table scanning, optimizing JOIN operations and improving code readability.


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