- 浏览: 1618 次
- 性别:
- 来自: 盐城
最新评论
1.cdc 模式在源库是集群的情况下!! 源库的
log_archive_dest_2='SERVICE=alcdcstg lgwr async optional noregister reopen=5 valid_for=(online_logfile,primary_role) sid=’1’'
log_archive_dest_2='SERVICE=alcdcstg lgwr async optional noregister reopen=5 valid_for=(online_logfile,primary_role) sid=’2’'
一.CDC autolog online
1.前提条件:
(1).数据库版本必须是企业版.
(2).源库和中间库所在的操作系统版本必须相同.
(3).源库和中间库的SYS口令必须相同.
(4).源库和中间库可以通过tnsnames.ora互相访问.
=============================================================================================
2.数据库参数配置:
(1).stagdb端:
--开启本地归档的路径 和 接受远程归档或远程redo日志的路径:
alter system set global_names=true;
alter system set java_pool_size=50M;
alter system set streams_pool_size=50M;
alter system set remote_login_passwordfile=shared scope=spfile;
alter system set log_archive_dest_1='LOCATION=/u01/oracle/oradata/hua/archivelog mandatory reopen=5 valid_for=(online_logfile,primary_role)';
alter system set log_archive_dest_2='LOCATION=/u01/oracle/oradata/hua/staglog mandatory valid_for=(standby_logfile,primary_role)';
--将stagdb置于归档模式:
shutdown immediate;
startup mount;
alter database archivelog ;
alter database open ;
alter system switch logfile;
--在stagdb中添加standby logfile,用来接收源端传输过来的日志,所以stagdb的standby logfile个数应该大于源端的online redo个数.每个standby logfile的大小应该>=源湍的online log大小.
alter database add standby logfile group 5 ('<path to standby redo log>') size ***M;
......
(2).源端:
--设置本地归档和远程归档:
alter system set remote_login_passwordfile=shared scope=spfile;
alter system set log_archive_dest_1='LOCATION=/u01/oracle/oradata/yun/archivelog';
alter system set log_archive_dest_2='SERVICE=hua lgwr async optional noregister reopen=5 valid_for=(online_logfile,primary_role)';
--开归档,force logging,附加日志:
shutdown immediate;
startup mount;
alter database archivelog;
alter database open ;
alter system switch logfile;
alter database add supplemental log data (primary key, unique index) columns;
alter database force logging;
=============================================================================================
3.创建用户:
(1).源端:
conn sys/oracleabcd@yun as sysdba
drop user cdc_admin cascade;
create user cdc_admin identified by cdc_admin;
grant create session to cdc_admin;
grant create table to cdc_admin;
grant create tablespace to cdc_admin;
grant unlimited tablespace to cdc_admin;
grant select_catalog_role to cdc_admin;
grant execute_catalog_role to cdc_admin;
grant execute on dbms_cdc_publish to cdc_admin;
(2).stagdb端:
conn sys/oracleabcd@hua as sysdba
drop user cdc_admin cascade;
create user cdc_admin identified by cdc_admin;
grant create session to cdc_admin;
grant create table to cdc_admin;
grant create tablespace to cdc_admin;
grant create sequence to cdc_admin;
grant select_catalog_role to cdc_admin;
grant execute_catalog_role to cdc_admin;
grant unlimited tablespace to cdc_admin;
grant select_catalog_role to cdc_admin;
grant execute_catalog_role to cdc_admin;
grant connect, resource, dba to cdc_admin;
grant execute on dbms_cdc_publish to cdc_admin;
execute dbms_streams_auth.grant_admin_privilege(grantee => 'cdc_admin');
=============================================================================================
4.配置源数据库:
(1).创建测试表:
-- create source table.
connect CDC_ADMIN/CDC_ADMIN@yun
CREATE TABLE CDC_HEARTBEAT_DW
(
CDC_NAME VARCHAR2(128) CONSTRAINT CHB_COL01_NN NOT NULL,
LATEST_DATETIME TIMESTAMP(6) DEFAULT SYSTIMESTAMP CONSTRAINT CHB_COL02_NN NOT NULL
);
alter table CDC_HEARTBEAT_DW add constraint pk_CDC_HEARTBEAT_DW primary key(CDC_NAME) using index;
alter Table cdc_heartbeat_dw ADD SUPPLEMENTAL LOG DATA (ALL) COLUMNS;
(2).查看记录的SCN:
-- Run the following and record the SCN.
conn sys/oracleabcd@yun as sysdba
SET SERVEROUTPUT ON
DECLARE
l_logminer_scn NUMBER;
BEGIN
dbms_capture_adm.build ( l_logminer_scn );
DBMS_OUTPUT.PUT_LINE('SCN: '|| l_logminer_scn);
END;
/
eg: 12045675269343
(3).将心跳表实例化:
-- Prepare table for instantiation.
conn sys/oracleabcd@yun as sysdba
EXECUTE dbms_capture_adm.prepare_table_instantiation ( 'CDC_ADMIN.CDC_HEARTBEAT_DW' );
(4).查看源端的global_name:
conn sys/oracleabcd@yun as sysdba
select global_name from global_name ;
=============================================================================================
5.配置stagdb:
-- create Change source
conn CDC_ADMIN/CDC_ADMIN@hua
begin
dbms_cdc_publish.create_autolog_change_source(
change_source_name => 'dw',
description => 'Source Database is yun',
source_database => 'yun',
first_scn => 12045675269343,
online_log => 'y');
end;
/
参数说明:
The source_database parameter has to have the global_name for the source database.
first_scn must be the value you captured from the source database.
-- create change set
begin
dbms_cdc_publish.create_change_set(
change_set_name => 'CS05',
description => 'Source Database is SDTAIS with change set CS05',
change_source_name => 'dw',
stop_on_ddl => 'y');
end;
/
-- Create change table.
begin
dbms_cdc_publish.create_change_table(
owner => 'CDC_ADMIN',
change_table_name => 'CT_CDC_HEARTBEAT_CS05',
change_set_name => 'CS05',
source_schema => 'CDC_ADMIN',
source_table => 'CDC_HEARTBEAT_DW',
column_type_list => 'CDC_NAME VARCHAR2(128), LATEST_DATETIME TIMESTAMP(6)',
capture_values => 'both',
rs_id => 'y',
row_id => 'n',
user_id => 'n',
timestamp => 'y',
object_id => 'n',
source_colmap => 'n',
target_colmap => 'y',
options_string => null) ;
end ;
/
说明:在调用create_change_table时需要JVM,如果stage数据库未安装JVM,则会报错.最好在源端和目标端都安装JVM.
-- alter few tuning parameters:
EXECUTE dbms_capture_adm.alter_capture( capture_name => 'CDC$C_CS05', checkpoint_retention_time => 1 );
EXECUTE dbms_capture_adm.set_parameter( capture_name => 'CDC$C_CS05', parameter => 'DISABLE_ON_LIMIT', value => 'Y');
EXECUTE dbms_capture_adm.set_parameter( capture_name => 'CDC$C_CS05', parameter => 'MAXIMUM_SCN', value => 'INFINITE');
EXECUTE dbms_apply_adm.set_parameter( apply_name => 'CDC$A_CS05', parameter => 'COMMIT_SERIALIZATION', value => 'NONE');
EXECUTE dbms_apply_adm.set_parameter( apply_name => 'CDC$A_CS05', parameter => 'DISABLE_ON_ERROR', value => 'Y');
EXECUTE dbms_apply_adm.set_parameter( apply_name => 'CDC$A_CS05', parameter => 'DISABLE_ON_LIMIT', value => 'Y');
EXECUTE dbms_apply_adm.set_parameter( apply_name => 'CDC$A_CS05', parameter => 'PARALLELISM', value => '1');
EXECUTE dbms_apply_adm.set_parameter( apply_name => 'CDC$A_CS05', parameter => '_DYNAMIC_STMTS', value => 'Y');
EXECUTE dbms_apply_adm.set_parameter( apply_name => 'CDC$A_CS05', parameter => '_HASH_TABLE_SIZE', value => '1000000');
EXECUTE dbms_apply_adm.set_parameter( apply_name => 'CDC$A_CS05', parameter => '_TXN_BUFFER_SIZE', value => '10');
-- Active change_set:
begin
dbms_cdc_publish.alter_change_set(
change_set_name=>'CS05',
enable_capture=>'y');
end;
/
=============================================================================================
5.源端切换日志,将源端的数据字典传输至stagdb,让捕获进程初始化:
-- switch logfile:
alter system switch logfile;
=============================================================================================
6.测试:
connect sys/oracleabcd@yun as sysdba
INSERT INTO cdc_heartbeat_dw( CDC_NAME, LATEST_DATETIME ) VALUES ( 'Iddfdfd2st', SYSDATE );
commit;
ALTER SYSTEM archive log current;
conn CDC_ADMIN/CDC_ADMIN@hua
select count(*) from CT_CDC_HEARTBEAT_CS05;
select * from CT_CDC_HEARTBEAT_CS05;
===============================================================================================
7.配置验证:
1.验证change source是否已经创建成功,如果是 autolog online模式,则source_type的值为AUTOLOG ONLINE:
select source_name, source_description, source_type, source_database
from change_sources
where source_name = 'DW';
2.验证change set:
change set will create an associated, still disabled, streams apply process, an apply queue and apply queue table.
select set_name,
set_description,
change_source_name,
apply_name,
queue_name,
queue_table_name
from change_sets
where set_name = 'CS05';
--检查底层的stream apply进程的定义:
select app.apply_name, q.name, app.status, qt.queue_table
from dba_apply app, dba_queues q, dba_queue_tables qt
where app.apply_user = 'CDC_ADMIN'
and q.owner = 'CDC_ADMIN'
and qt.owner = 'CDC_ADMIN'
and q.name = app.queue_name
and qt.queue_table = q.queue_table
该语句会显示底层streams的apply进程的状态.
3.验证change table:
change tables will creates the Streams apply rules as well as the Streams capture rules on the staging database.
select change_table_name,
change_set_name,
source_schema_name,
source_table_name
from change_tables
where change_table_schema = 'CDC_ADMIN'
order by change_table_name;
--检查底层的streams capture和apply的规则:
select streams_name,
streams_type,
table_owner,
table_name,
rule_type,
source_database
from dba_streams_table_rules
where rule_owner = 'CDC_ADMIN'
order by table_name, rule_type, streams_type;
说明:
至此,底层的streams配置完成,但capture、propagation、apply进程仍是inactive状态.
4.当change set激活后,检查apply进程的状态是否为enable:
select apply_name, status from dba_apply where apply_user = 'CDC_ADMIN';
5.检查capture的状态:
select capture_name, state, total_messages_captured from v$streams_capture;
说明:
STATE can show several values until it shows CAPTURING CHANGES. Until state is CAPTURING CHANGES you will not see the value for TOTAL_MESSAGES_CAPTURED increase.
6.检查autolog online是否正确的被激活:
select group#, thread#, sequence#, archived, status from v$standby_log;
说明:
如果autolog online正确的被激活,则至少有一个standby logfile的状态为ACTIVE.
===============================================================================================
说明: autolog online方式在10.2.0.4基于AIX,在创建change set时报遇到BUG. BUG:11768445.
log_archive_dest_2='SERVICE=alcdcstg lgwr async optional noregister reopen=5 valid_for=(online_logfile,primary_role) sid=’1’'
log_archive_dest_2='SERVICE=alcdcstg lgwr async optional noregister reopen=5 valid_for=(online_logfile,primary_role) sid=’2’'
一.CDC autolog online
1.前提条件:
(1).数据库版本必须是企业版.
(2).源库和中间库所在的操作系统版本必须相同.
(3).源库和中间库的SYS口令必须相同.
(4).源库和中间库可以通过tnsnames.ora互相访问.
=============================================================================================
2.数据库参数配置:
(1).stagdb端:
--开启本地归档的路径 和 接受远程归档或远程redo日志的路径:
alter system set global_names=true;
alter system set java_pool_size=50M;
alter system set streams_pool_size=50M;
alter system set remote_login_passwordfile=shared scope=spfile;
alter system set log_archive_dest_1='LOCATION=/u01/oracle/oradata/hua/archivelog mandatory reopen=5 valid_for=(online_logfile,primary_role)';
alter system set log_archive_dest_2='LOCATION=/u01/oracle/oradata/hua/staglog mandatory valid_for=(standby_logfile,primary_role)';
--将stagdb置于归档模式:
shutdown immediate;
startup mount;
alter database archivelog ;
alter database open ;
alter system switch logfile;
--在stagdb中添加standby logfile,用来接收源端传输过来的日志,所以stagdb的standby logfile个数应该大于源端的online redo个数.每个standby logfile的大小应该>=源湍的online log大小.
alter database add standby logfile group 5 ('<path to standby redo log>') size ***M;
......
(2).源端:
--设置本地归档和远程归档:
alter system set remote_login_passwordfile=shared scope=spfile;
alter system set log_archive_dest_1='LOCATION=/u01/oracle/oradata/yun/archivelog';
alter system set log_archive_dest_2='SERVICE=hua lgwr async optional noregister reopen=5 valid_for=(online_logfile,primary_role)';
--开归档,force logging,附加日志:
shutdown immediate;
startup mount;
alter database archivelog;
alter database open ;
alter system switch logfile;
alter database add supplemental log data (primary key, unique index) columns;
alter database force logging;
=============================================================================================
3.创建用户:
(1).源端:
conn sys/oracleabcd@yun as sysdba
drop user cdc_admin cascade;
create user cdc_admin identified by cdc_admin;
grant create session to cdc_admin;
grant create table to cdc_admin;
grant create tablespace to cdc_admin;
grant unlimited tablespace to cdc_admin;
grant select_catalog_role to cdc_admin;
grant execute_catalog_role to cdc_admin;
grant execute on dbms_cdc_publish to cdc_admin;
(2).stagdb端:
conn sys/oracleabcd@hua as sysdba
drop user cdc_admin cascade;
create user cdc_admin identified by cdc_admin;
grant create session to cdc_admin;
grant create table to cdc_admin;
grant create tablespace to cdc_admin;
grant create sequence to cdc_admin;
grant select_catalog_role to cdc_admin;
grant execute_catalog_role to cdc_admin;
grant unlimited tablespace to cdc_admin;
grant select_catalog_role to cdc_admin;
grant execute_catalog_role to cdc_admin;
grant connect, resource, dba to cdc_admin;
grant execute on dbms_cdc_publish to cdc_admin;
execute dbms_streams_auth.grant_admin_privilege(grantee => 'cdc_admin');
=============================================================================================
4.配置源数据库:
(1).创建测试表:
-- create source table.
connect CDC_ADMIN/CDC_ADMIN@yun
CREATE TABLE CDC_HEARTBEAT_DW
(
CDC_NAME VARCHAR2(128) CONSTRAINT CHB_COL01_NN NOT NULL,
LATEST_DATETIME TIMESTAMP(6) DEFAULT SYSTIMESTAMP CONSTRAINT CHB_COL02_NN NOT NULL
);
alter table CDC_HEARTBEAT_DW add constraint pk_CDC_HEARTBEAT_DW primary key(CDC_NAME) using index;
alter Table cdc_heartbeat_dw ADD SUPPLEMENTAL LOG DATA (ALL) COLUMNS;
(2).查看记录的SCN:
-- Run the following and record the SCN.
conn sys/oracleabcd@yun as sysdba
SET SERVEROUTPUT ON
DECLARE
l_logminer_scn NUMBER;
BEGIN
dbms_capture_adm.build ( l_logminer_scn );
DBMS_OUTPUT.PUT_LINE('SCN: '|| l_logminer_scn);
END;
/
eg: 12045675269343
(3).将心跳表实例化:
-- Prepare table for instantiation.
conn sys/oracleabcd@yun as sysdba
EXECUTE dbms_capture_adm.prepare_table_instantiation ( 'CDC_ADMIN.CDC_HEARTBEAT_DW' );
(4).查看源端的global_name:
conn sys/oracleabcd@yun as sysdba
select global_name from global_name ;
=============================================================================================
5.配置stagdb:
-- create Change source
conn CDC_ADMIN/CDC_ADMIN@hua
begin
dbms_cdc_publish.create_autolog_change_source(
change_source_name => 'dw',
description => 'Source Database is yun',
source_database => 'yun',
first_scn => 12045675269343,
online_log => 'y');
end;
/
参数说明:
The source_database parameter has to have the global_name for the source database.
first_scn must be the value you captured from the source database.
-- create change set
begin
dbms_cdc_publish.create_change_set(
change_set_name => 'CS05',
description => 'Source Database is SDTAIS with change set CS05',
change_source_name => 'dw',
stop_on_ddl => 'y');
end;
/
-- Create change table.
begin
dbms_cdc_publish.create_change_table(
owner => 'CDC_ADMIN',
change_table_name => 'CT_CDC_HEARTBEAT_CS05',
change_set_name => 'CS05',
source_schema => 'CDC_ADMIN',
source_table => 'CDC_HEARTBEAT_DW',
column_type_list => 'CDC_NAME VARCHAR2(128), LATEST_DATETIME TIMESTAMP(6)',
capture_values => 'both',
rs_id => 'y',
row_id => 'n',
user_id => 'n',
timestamp => 'y',
object_id => 'n',
source_colmap => 'n',
target_colmap => 'y',
options_string => null) ;
end ;
/
说明:在调用create_change_table时需要JVM,如果stage数据库未安装JVM,则会报错.最好在源端和目标端都安装JVM.
-- alter few tuning parameters:
EXECUTE dbms_capture_adm.alter_capture( capture_name => 'CDC$C_CS05', checkpoint_retention_time => 1 );
EXECUTE dbms_capture_adm.set_parameter( capture_name => 'CDC$C_CS05', parameter => 'DISABLE_ON_LIMIT', value => 'Y');
EXECUTE dbms_capture_adm.set_parameter( capture_name => 'CDC$C_CS05', parameter => 'MAXIMUM_SCN', value => 'INFINITE');
EXECUTE dbms_apply_adm.set_parameter( apply_name => 'CDC$A_CS05', parameter => 'COMMIT_SERIALIZATION', value => 'NONE');
EXECUTE dbms_apply_adm.set_parameter( apply_name => 'CDC$A_CS05', parameter => 'DISABLE_ON_ERROR', value => 'Y');
EXECUTE dbms_apply_adm.set_parameter( apply_name => 'CDC$A_CS05', parameter => 'DISABLE_ON_LIMIT', value => 'Y');
EXECUTE dbms_apply_adm.set_parameter( apply_name => 'CDC$A_CS05', parameter => 'PARALLELISM', value => '1');
EXECUTE dbms_apply_adm.set_parameter( apply_name => 'CDC$A_CS05', parameter => '_DYNAMIC_STMTS', value => 'Y');
EXECUTE dbms_apply_adm.set_parameter( apply_name => 'CDC$A_CS05', parameter => '_HASH_TABLE_SIZE', value => '1000000');
EXECUTE dbms_apply_adm.set_parameter( apply_name => 'CDC$A_CS05', parameter => '_TXN_BUFFER_SIZE', value => '10');
-- Active change_set:
begin
dbms_cdc_publish.alter_change_set(
change_set_name=>'CS05',
enable_capture=>'y');
end;
/
=============================================================================================
5.源端切换日志,将源端的数据字典传输至stagdb,让捕获进程初始化:
-- switch logfile:
alter system switch logfile;
=============================================================================================
6.测试:
connect sys/oracleabcd@yun as sysdba
INSERT INTO cdc_heartbeat_dw( CDC_NAME, LATEST_DATETIME ) VALUES ( 'Iddfdfd2st', SYSDATE );
commit;
ALTER SYSTEM archive log current;
conn CDC_ADMIN/CDC_ADMIN@hua
select count(*) from CT_CDC_HEARTBEAT_CS05;
select * from CT_CDC_HEARTBEAT_CS05;
===============================================================================================
7.配置验证:
1.验证change source是否已经创建成功,如果是 autolog online模式,则source_type的值为AUTOLOG ONLINE:
select source_name, source_description, source_type, source_database
from change_sources
where source_name = 'DW';
2.验证change set:
change set will create an associated, still disabled, streams apply process, an apply queue and apply queue table.
select set_name,
set_description,
change_source_name,
apply_name,
queue_name,
queue_table_name
from change_sets
where set_name = 'CS05';
--检查底层的stream apply进程的定义:
select app.apply_name, q.name, app.status, qt.queue_table
from dba_apply app, dba_queues q, dba_queue_tables qt
where app.apply_user = 'CDC_ADMIN'
and q.owner = 'CDC_ADMIN'
and qt.owner = 'CDC_ADMIN'
and q.name = app.queue_name
and qt.queue_table = q.queue_table
该语句会显示底层streams的apply进程的状态.
3.验证change table:
change tables will creates the Streams apply rules as well as the Streams capture rules on the staging database.
select change_table_name,
change_set_name,
source_schema_name,
source_table_name
from change_tables
where change_table_schema = 'CDC_ADMIN'
order by change_table_name;
--检查底层的streams capture和apply的规则:
select streams_name,
streams_type,
table_owner,
table_name,
rule_type,
source_database
from dba_streams_table_rules
where rule_owner = 'CDC_ADMIN'
order by table_name, rule_type, streams_type;
说明:
至此,底层的streams配置完成,但capture、propagation、apply进程仍是inactive状态.
4.当change set激活后,检查apply进程的状态是否为enable:
select apply_name, status from dba_apply where apply_user = 'CDC_ADMIN';
5.检查capture的状态:
select capture_name, state, total_messages_captured from v$streams_capture;
说明:
STATE can show several values until it shows CAPTURING CHANGES. Until state is CAPTURING CHANGES you will not see the value for TOTAL_MESSAGES_CAPTURED increase.
6.检查autolog online是否正确的被激活:
select group#, thread#, sequence#, archived, status from v$standby_log;
说明:
如果autolog online正确的被激活,则至少有一个standby logfile的状态为ACTIVE.
===============================================================================================
说明: autolog online方式在10.2.0.4基于AIX,在创建change set时报遇到BUG. BUG:11768445.
相关推荐
- **Autolog Online**: 实时捕获源数据库的变更数据,不依赖于归档日志。 - **Autolog Archive**: 基于归档日志捕获变更,适用于归档模式的数据捕获。 **用户设置** 为源数据库和staging数据库创建专用的用户,分配...
异步 HotLog 模式可以从 Source Database 的 online redo logfile 中抽取增量数据,但是需要解析日志文件,会有一定的时间延迟。异步分布式 HotLog 模式可以将增量数据分布式处理,具有很高的实时性和可扩展性。 ...
Oracle Customers Online Implementation Guide 是一份专为实施Oracle 11i版本的在线客户管理解决方案而设计的详细指南。该文档由Oracle公司于2005年发布,旨在帮助用户理解和实施Oracle Customers Online的功能,以...
"使用 PDI 和 Oracle CDC 来实现 Oracle 数据库向其他数据库的数据同步" PDI(Pentaho Data Integration)是一种商业智能解决方案,旨在帮助用户快速、可靠地集成、转换和处理大量数据。Oracle CDC(Change Data ...
Oracle Change Data Capture (CDC) 是 Oracle 数据库提供的一项高级特性,用于捕捉数据库中的更改数据,以便在异步环境中实现高效的数据同步。Oracle CDC 特别适用于大数据集成、实时数据分析和企业级应用程序之间的...
Oracle Database Online Documentation 12c Release 1 (12.1)是Oracle公司为12c版本数据库提供的官方文档集合,旨在帮助用户深入了解和管理Oracle数据库系统。这个文档集包含了丰富的技术信息,从安装配置、数据库...
### Oracle CDC (Change Data Capture) 概述 Oracle CDC(Change Data Capture)是一种高效的数据同步技术,主要用于在异构环境中实现实时数据捕捉、转换及传递。它通过监控数据库的日志文件来检测数据变化,并将...
### 流批一体Streamsets Data Collector(SDC)管道Oracle CDC实时同步配置详解 #### 一、概述 在大数据处理领域,Streamsets Data Collector (SDC)作为一种强大的数据集成工具,被广泛应用于各种复杂的数据流场景中...
### Oracle CDC 同步模式详解 #### 一、概述 Oracle CDC (Change Data Capture) 是一种用于捕获数据库中表的变化并记录这些变化的技术。它主要用于实现数据的实时同步、审计跟踪以及支持业务智能等场景。本文将...
根据提供的文件信息,这里涉及的知识点主要集中在傲飞数据整合平台的Oracle CDC(Change Data Capture,变化数据捕获)插件的安装和配置过程。下面详细介绍这些知识点: 1. 数据整合平台介绍: 傲飞数据整合平台,...
1. **配置Oracle CDC连接器**:Flink提供了JDBC connector,它可以配合第三方库如Oracle GoldenGate或Oracle LogMiner来获取Oracle CDC事件。你需要确保已安装了相应的Oracle JDBC驱动(如ojdbc.jar),并将该驱动...
- `EXECUTE` on the `DBMS_CDC_PUBLISH` package - **视图** - `ALL_SOURCE_TABLES`:源表。 - `ALL_PUBLISHED_COLUMNS`:发布的表列。 - `ALL_SUBSCRIBED_COLUMNS`:订阅的表列。 - `ALL_SUBSCRIPTIONS`:...
Oracle Customers Online User Guide Release 11i 是一份针对 Oracle 公司的客户在线管理系统的用户指南,该版本发布于2005年4月。该文档的目的是帮助用户理解和操作Oracle在11i版本中的客户在线功能。Oracle是全球...
Oracle Database Express Edition Online Documentation 10g Release 2 (10_2).从官方下载的英文文档,希望对大家有帮助。
### Oracle CDC 技术详解:实现数据库级别的增量数据同步 #### 概述 Oracle CDC(Change Data Capture)技术,作为Oracle数据库的一项核心功能,旨在提供一种高效的数据同步方案,尤其适用于处理增量数据的抽取与...
Oracle CDC(Change Data Capture)是Oracle数据库提供的一种增量数据处理技术,主要应用于构建数据仓库系统的ETL(提取、转换、加载)过程中。在ETL流程中,准确且高效地抽取业务系统中的增量数据至关重要,以免对...
### Oracle CDC 学习笔记详解 #### 一、Oracle CDC 概述 Oracle CDC (Change Data Capture) 是一种用于捕获数据库中数据更改的技术。它主要用于实现数据的实时同步、审计跟踪以及支持业务智能等场景。通过配置CDC,...
Oracle CDC(Change Data Capture)是一种高效的数据增量处理技术,尤其适用于构建数据仓库系统的ETL(提取、转换、加载)过程。在数据仓库中,确保数据的准确性和性能至关重要。CDC能够在不影响业务系统运行的情况...
【Oracle CDC】是一种在Oracle数据库中实现增量数据处理的技术,主要应用于数据仓库系统的ETL(抽取、转换、加载)过程。在构建数据仓库时,确保数据的准确性与处理性能至关重要。Oracle提供了多种方法来处理增量...