19 Using LogMiner to Analyze Redo Log Files

Sample Configuration

Figure 19-1 shows a sample LogMiner configuration. In this figure, the source database in Boston generates redo log files that are archived and shipped to a database in San Francisco. A LogMiner dictionary has been extracted to these redo log files. The mining database, where LogMiner will actually analyze the redo log files, is in San Francisco. The Boston database is running Oracle9i, and the San Francisco database is running Oracle Database 10g.

Figure 19-1 Sample LogMiner Database Configuration

Description of "Figure 19-1 Sample LogMiner Database Configuration"

Figure 19-1 shows just one valid LogMiner configuration. Other valid configurations are those that use the same database for both the source and mining database, or use another method for providing the data dictionary. These other data dictionary options are described in the section about LogMiner Dictionary Options.

Requirements

The following are requirements for the source and mining database, the data dictionary, and the redo log files that LogMiner will mine:

• Source and mining database

  • Both the source database and the mining database must be running on the same hardware platform.

  • The mining database can be the same as, or completely separate from, the source database.

  • The mining database must run the same version or a later version of the Oracle Database software as the source database.

  • The mining database must use the same character set (or a superset of the character set) used by the source database.

• LogMiner dictionary

  • The dictionary must be produced by the same source database that generates the redo log files that LogMiner will analyze.

• All redo log files:

  • Must be produced by the same source database.

  • Must be associated with the same database RESETLOGS SCN.

  • Must be from a release 8.0 or later Oracle Database. However, several of the LogMiner features introduced as of release 9.0.1 work only with redo log files produced on an Oracle9i or later database. See Supported Databases and Redo Log File Versions.

LogMiner does not allow you to mix redo log files from different databases or to use a dictionary from a different database than the one that generated the redo log files to be analyzed.

ALTER DATABASE ADD SUPPLEMENTAL LOG DATA;

SELECT SUPPLEMENTAL_LOG_DATA_MIN FROM V$DATABASE;

Using the Online Catalog

To direct LogMiner to use the dictionary currently in use for the database, specify the online catalog as your dictionary source when you start LogMiner, as follows:

EXECUTE DBMS_LOGMNR.START_LOGMNR(-
   OPTIONS => DBMS_LOGMNR.DICT_FROM_ONLINE_CATALOG);

In addition to using the online catalog to analyze online redo log files, you can use it to analyze archived redo log files, if you are on the same system that generated the archived redo log files.

The online catalog contains the latest information about the database and may be the fastest way to start your analysis. Because DDL operations that change important tables are somewhat rare, the online catalog generally contains the information you need for your analysis.

Remember, however, that the online catalog can only reconstruct SQL statements that are executed on the latest version of a table. As soon as a table is altered, the online catalog no longer reflects the previous version of the table. This means that LogMiner will not be able to reconstruct any SQL statements that were executed on the previous version of the table. Instead, LogMiner generates nonexecutable SQL (including hexadecimal-to-raw formatting of binary values) in the SQL_REDO column of the V$LOGMNR_CONTENTS view similar to the following example:

insert into HR.EMPLOYEES(col#1, col#2) values (hextoraw('4a6f686e20446f65'),
hextoraw('c306'));"

The online catalog option requires that the database be open.

The online catalog option is not valid with the DDL_DICT_TRACKING option of DBMS_LOGMNR.START_LOGMNR.

Extracting a LogMiner Dictionary to the Redo Log Files

To extract a LogMiner dictionary to the redo log files, the database must be open and in ARCHIVELOG mode and archiving must be enabled. While the dictionary is being extracted to the redo log stream, no DDL statements can be executed. Therefore, the dictionary extracted to the redo log files is guaranteed to be consistent (whereas the dictionary extracted to a flat file is not).

To extract dictionary information to the redo log files, execute the PL/SQL DBMS_LOGMNR_D.BUILD procedure with the STORE_IN_REDO_LOGS option. Do not specify a file name or location.

EXECUTE DBMS_LOGMNR_D.BUILD( -
   OPTIONS=> DBMS_LOGMNR_D.STORE_IN_REDO_LOGS);

The process of extracting the dictionary to the redo log files does consume database resources, but if you limit the extraction to off-peak hours, this should not be a problem, and it is faster than extracting to a flat file. Depending on the size of the dictionary, it may be contained in multiple redo log files. If the relevant redo log files have been archived, you can find out which redo log files contain the start and end of an extracted dictionary. To do so, query the V$ARCHIVED_LOG view, as follows:

SELECT NAME FROM V$ARCHIVED_LOG WHERE DICTIONARY_BEGIN='YES';
SELECT NAME FROM V$ARCHIVED_LOG WHERE DICTIONARY_END='YES';

Specify the names of the start and end redo log files, and possibly other logs in between them, with the ADD_LOGFILE procedure when you are preparing to begin a LogMiner session.

Oracle recommends that you periodically back up the redo log files so that the information is saved and available at a later date. Ideally, this will not involve any extra steps because if your database is being properly managed, there should already be a process in place for backing up and restoring archived redo log files. Again, because of the time required, it is good practice to do this during off-peak hours.

Extracting the LogMiner Dictionary to a Flat File

When the LogMiner dictionary is in a flat file, fewer system resources are used than when it is contained in the redo log files. Oracle recommends that you regularly back up the dictionary extract to ensure correct analysis of older redo log files.

To extract database dictionary information to a flat file, use the DBMS_LOGMNR_D.BUILD procedure with the STORE_IN_FLAT_FILE option.

Be sure that no DDL operations occur while the dictionary is being built.

The following steps describe how to extract a dictionary to a flat file. Steps 1 and 2 are preparation steps. You only need to do them once, and then you can extract a dictionary to a flat file as many times as you want to.

1. The DBMS_LOGMNR_D.BUILD procedure requires access to a directory where it can place the dictionary file. Because PL/SQL procedures do not normally access user directories, you must specify a directory for use by the DBMS_LOGMNR_D.BUILD procedure or the procedure will fail. To specify a directory, set the initialization parameter, UTL_FILE_DIR, in the initialization parameter file.

   For example, to set UTL_FILE_DIR to use /oracle/database as the directory where the dictionary file is placed, place the following in the initialization parameter file:

   UTL_FILE_DIR = /oracle/database
   

   Remember that for the changes to the initialization parameter file to take effect, you must stop and restart the database.

2. If the database is closed, use SQL*Plus to mount and then open the database whose redo log files you want to analyze. For example, entering the SQL STARTUP command mounts and opens the database:

   STARTUP
   

3. Execute the PL/SQL procedure DBMS_LOGMNR_D.BUILD. Specify a file name for the dictionary and a directory path name for the file. This procedure creates the dictionary file. For example, enter the following to create the file dictionary.ora in /oracle/database:

   EXECUTE DBMS_LOGMNR_D.BUILD('dictionary.ora', - 
      '/oracle/database/', -
       DBMS_LOGMNR_D.STORE_IN_FLAT_FILE);
   

   You could also specify a file name and location without specifying the STORE_IN_FLAT_FILE option. The result would be the same.

The Meaning of NULL Values Returned by the MINE_VALUE Function

If the MINE_VALUE function returns a NULL value, it can mean either:

• The specified column is not present in the redo or undo portion of the data.

• The specified column is present and has a null value.

To distinguish between these two cases, use the DBMS_LOGMNR.COLUMN_PRESENT function which returns a 1 if the column is present in the redo or undo portion of the data. Otherwise, it returns a 0. For example, suppose you wanted to find out the increment by which the values in the salary column were modified and the corresponding transaction identifier. You could issue the following SQL query:

SELECT 
  (XIDUSN || '.' || XIDSLT || '.' || XIDSQN) AS XID,
  (DBMS_LOGMNR.MINE_VALUE(REDO_VALUE, 'HR.EMPLOYEES.SALARY') -
   DBMS_LOGMNR.MINE_VALUE(UNDO_VALUE, 'HR.EMPLOYEES.SALARY')) AS INCR_SAL
   FROM V$LOGMNR_CONTENTS
   WHERE
   OPERATION = 'UPDATE' AND
   DBMS_LOGMNR.COLUMN_PRESENT(REDO_VALUE, 'HR.EMPLOYEES.SALARY') = 1 AND
   DBMS_LOGMNR.COLUMN_PRESENT(UNDO_VALUE, 'HR.EMPLOYEES.SALARY') = 1;

Usage Rules for the MINE_VALUE and COLUMN_PRESENT Functions

The following usage rules apply to the MINE_VALUE and COLUMN_PRESENT functions:

• They can only be used within a LogMiner session.

• They must be invoked in the context of a select operation from the V$LOGMNR_CONTENTS view.

• They do not support LONG, LONG RAW, CLOB, BLOB, NCLOB, ADT, or COLLECTION datatypes.

Restrictions When Using LogMiner With XMLType Data

Mining XMLType data should only be done when using the DBMS_LOGMNR.COMMITTED_DATA_ONLY option. Otherwise, incomplete changes could be displayed or changes which should be displayed as XML might be displayed as CLOB changes due to missing parts of the row change. This can lead to incomplete and invalid SQL_REDO for these SQL DML statements.

The SQL_UNDO column is not populated for changes to XMLType data.

Example of a PL/SQL Procedure for Assembling XMLType Data

The example presented in this section shows a procedure that can be used to mine and assemble XML redo for tables that contain out of line XML data. This shows how to assemble the XML data using a temporary LOB. Once the XML document is assembled, it can be used in a meaningful way. This example queries the assembled document for the EmployeeName element and then stores the returned name, the XML document and the SQL_REDO for the original DML in the EMPLOYEE_XML_DOCS table.

Before calling this procedure, all of the relevant logs must be added to a LogMiner session and DBMS_LOGMNR.START_LOGMNR() must be called with the COMMITTED_DATA_ONLY option. The MINE_AND_ASSEMBLE() procedure can then be called with the schema and table name of the table that has XML data to be mined.

-- table to store assembled XML documents
create table employee_xml_docs  (
  employee_name         varchar2(100),
  sql_stmt                     varchar2(4000),
  xml_doc                     SYS.XMLType);
        
-- procedure to assemble the XML documents
create or replace procedure mine_and_assemble(
  schemaname        in varchar2,
  tablename         in varchar2)
AS
  loc_c      CLOB; 
  row_op     VARCHAR2(100); 
  row_status NUMBER; 
  stmt       VARCHAR2(4000);
  row_redo   VARCHAR2(4000);
  xml_data   VARCHAR2(32767 CHAR); 
  data_len   NUMBER; 
  xml_lob    clob;
  xml_doc    XMLType;
BEGIN 
 
-- Look for the rows in V$LOGMNR_CONTENTS that are for the appropriate schema 
-- and table name but limit it to those that are valid sql or that need assembly
-- because they are XML documents.
 
 For item in ( SELECT operation, status, sql_redo  FROM v$logmnr_contents
 where seg_owner = schemaname and table_name = tablename
 and status IN (DBMS_LOGMNR.VALID_SQL, DBMS_LOGMNR.ASSEMBLY_REQUIRED_SQL))
 LOOP
    row_op := item.operation;
    row_status := item.status;
    row_redo := item.sql_redo;
 
     CASE row_op 
 
          WHEN 'XML DOC BEGIN' THEN 
             BEGIN 
               -- save statement and begin assembling XML data 
               stmt := row_redo; 
               xml_data := ''; 
               data_len := 0; 
               DBMS_LOB.CreateTemporary(xml_lob, TRUE);
             END; 
 
          WHEN 'XML DOC WRITE' THEN 
             BEGIN 
               -- Continue to assemble XML data
               xml_data := xml_data || row_redo; 
               data_len := data_len + length(row_redo); 
               DBMS_LOB.WriteAppend(xml_lob, length(row_redo), row_redo);
             END; 
 
          WHEN 'XML DOC END' THEN 
             BEGIN 
               -- Now that assembly is complete, we can use the XML document 
              xml_doc := XMLType.createXML(xml_lob);
              insert into employee_xml_docs values
                        (extractvalue(xml_doc, '/EMPLOYEE/NAME'), stmt, xml_doc);
              commit;
 
              -- reset
              xml_data := ''; 
              data_len := 0; 
              xml_lob := NULL;
             END; 
 
          WHEN 'INSERT' THEN 
             BEGIN 
                stmt := row_redo;
             END; 
 
          WHEN 'UPDATE' THEN 
             BEGIN 
                stmt := row_redo;
             END; 
 
          WHEN 'INTERNAL' THEN 
             DBMS_OUTPUT.PUT_LINE('Skip rows marked INTERNAL'); 
 
          ELSE 
             BEGIN 
                stmt := row_redo;
                DBMS_OUTPUT.PUT_LINE('Other - ' || stmt); 
                IF row_status != DBMS_LOGMNR.VALID_SQL then 
                   DBMS_OUTPUT.PUT_LINE('Skip rows marked non-executable'); 
                ELSE 
                   dbms_output.put_line('Status : ' || row_status);
                END IF; 
             END; 
 
     END CASE;
 
 End LOOP; 
 
End;
/
 
show errors;

This procedure can then be called to mine the changes to the SCOTT.XML_DATA_TAB and apply the DMLs.

EXECUTE MINE_AND_ASSEMBLE ('SCOTT', 'XML_DATA_TAB');

As a result of this procedure, the EMPLOYEE_XML_DOCS table will have a row for each out-of-line XML column that was changed. The EMPLOYEE_NAME column will have the value extracted from the XML document and the SQL_STMT column and the XML_DOC column reflect the original row change.

The following is an example query to the resulting table that displays only the employee name and SQL statement:

SELECT EMPLOYEE_NAME, SQL_STMT FROM EMPLOYEE_XML_DOCS;
                
EMPLOYEE_NAME          SQL_STMT                                                                                           
 
Scott Davis          update "SCOTT"."XML_DATA_TAB" a set a."F3" = XMLType(:1) 
                         where a."F1" = '5000' and a."F2" = 'Chen' and a."F5" = 'JJJ'
        
Richard Harry        update "SCOTT"."XML_DATA_TAB" a set a."F4" = XMLType(:1)  
                         where a."F1" = '5000' and a."F2" = 'Chen' and a."F5" = 'JJJ'
        
Margaret Sally       update "SCOTT"."XML_DATA_TAB" a set a."F4" = XMLType(:1)  
                         where a."F1" = '5006' and a."F2" = 'Janosik' and a."F5" = 'MMM'

Minimal Supplemental Logging

Minimal supplemental logging logs the minimal amount of information needed for LogMiner to identify, group, and merge the redo operations associated with DML changes. It ensures that LogMiner (and any product building on LogMiner technology) has sufficient information to support chained rows and various storage arrangements, such as cluster tables and index-organized tables. To enable minimal supplemental logging, execute the following SQL statement:

ALTER DATABASE ADD SUPPLEMENTAL LOG DATA;

Database-Level Identification Key Logging

Identification key logging is necessary when redo log files will not be mined at the source database instance, for example, when the redo log files will be mined at a logical standby database.

Using database identification key logging, you can enable database-wide before-image logging for all updates by specifying one or more of the following options to the SQL ALTER DATABASE ADD SUPPLEMENTAL LOG statement:

• ALL system-generated unconditional supplemental log group

  This option specifies that when a row is updated, all columns of that row (except for LOBs, LONGS, and ADTs) are placed in the redo log file.

  To enable all column logging at the database level, execute the following statement:

  SQL> ALTER DATABASE ADD SUPPLEMENTAL LOG DATA (ALL) COLUMNS;
  

• PRIMARY KEY system-generated unconditional supplemental log group

  This option causes the database to place all columns of a row's primary key in the redo log file whenever a row containing a primary key is updated (even if no value in the primary key has changed).

  If a table does not have a primary key, but has one or more non-null unique index key constraints or index keys, then one of the unique index keys is chosen for logging as a means of uniquely identifying the row being updated.

  If the table has neither a primary key nor a non-null unique index key, then all columns except LONG and LOB are supplementally logged; this is equivalent to specifying ALL supplemental logging for that row. Therefore, Oracle recommends that when you use database-level primary key supplemental logging, all or most tables be defined to have primary or unique index keys.

  To enable primary key logging at the database level, execute the following statement:

  SQL> ALTER DATABASE ADD SUPPLEMENTAL LOG DATA (PRIMARY KEY) COLUMNS;
  

• UNIQUE system-generated conditional supplemental log group

  This option causes the database to place all columns of a row's composite unique key or bitmap index in the redo log file if any column belonging to the composite unique key or bitmap index is modified. The unique key can be due to either a unique constraint or a unique index.

  To enable unique index key and bitmap index logging at the database level, execute the following statement:

  SQL> ALTER DATABASE ADD SUPPLEMENTAL LOG DATA (UNIQUE) COLUMNS;
  

• FOREIGN KEY system-generated conditional supplemental log group

  This option causes the database to place all columns of a row's foreign key in the redo log file if any column belonging to the foreign key is modified.

  To enable foreign key logging at the database level, execute the following SQL statement:

  ALTER DATABASE ADD SUPPLEMENTAL LOG DATA (FOREIGN KEY) COLUMNS;
  

  Note:

  Regardless of whether identification key logging is enabled, the SQL statements returned by LogMiner always contain the ROWID clause. You can filter out the ROWID clause by using the NO_ROWID_IN_STMT option to the DBMS_LOGMNR.START_LOGMNR procedure call. See Formatting Reconstructed SQL Statements for Re-execution for details.

Keep the following in mind when you use identification key logging:

• If the database is open when you enable identification key logging, all DML cursors in the cursor cache are invalidated. This can affect performance until the cursor cache is repopulated.

• When you enable identification key logging at the database level, minimal supplemental logging is enabled implicitly.

• Supplemental logging statements are cumulative. If you issue the following SQL statements, both primary key and unique key supplemental logging is enabled:

  ALTER DATABASE ADD SUPPLEMENTAL LOG DATA (PRIMARY KEY) COLUMNS;
  ALTER DATABASE ADD SUPPLEMENTAL LOG DATA (UNIQUE) COLUMNS;
  

Table-Level Identification Key Logging

Identification key logging at the table level offers the same options as those provided at the database level: all, primary key, foreign key, and unique key. However, when you specify identification key logging at the table level, only the specified table is affected. For example, if you enter the following SQL statement (specifying database-level supplemental logging), then whenever a column in any database table is changed, the entire row containing that column (except columns for LOBs, LONGs, and ADTs) will be placed in the redo log file:

ALTER DATABASE ADD SUPPLEMENTAL LOG DATA (ALL) COLUMNS;

However, if you enter the following SQL statement (specifying table-level supplemental logging) instead, then only when a column in the employees table is changed will the entire row (except for LOB, LONGs, and ADTs) of the table be placed in the redo log file. If a column changes in the departments table, only the changed column will be placed in the redo log file.

ALTER TABLE HR.EMPLOYEES ADD SUPPLEMENTAL LOG DATA (ALL) COLUMNS;

Keep the following in mind when you use table-level identification key logging:

• If the database is open when you enable identification key logging on a table, all DML cursors for that table in the cursor cache are invalidated. This can affect performance until the cursor cache is repopulated.

• Supplemental logging statements are cumulative. If you issue the following SQL statements, both primary key and unique index key table-level supplemental logging is enabled:

  ALTER TABLE HR.EMPLOYEES 
    ADD SUPPLEMENTAL LOG DATA (PRIMARY KEY) COLUMNS;
  ALTER TABLE HR.EMPLOYEES 
    ADD SUPPLEMENTAL LOG DATA (UNIQUE) COLUMNS;
  

See Database-Level Identification Key Logging for a description of each of the identification key logging options.

Table-Level User-Defined Supplemental Log Groups

In addition to table-level identification key logging, Oracle supports user-defined supplemental log groups. With user-defined supplemental log groups, you can specify which columns are supplementally logged. You can specify conditional or unconditional log groups, as follows:

• User-defined unconditional log groups

  To enable supplemental logging that uses user-defined unconditional log groups, use the ALWAYS clause as shown in the following example:

  ALTER TABLE HR.EMPLOYEES
     ADD SUPPLEMENTAL LOG GROUP emp_parttime (EMPLOYEE_ID, LAST_NAME, 
     DEPARTMENT_ID) ALWAYS;
  

  This creates a log group named emp_parttime on the hr.employees table that consists of the columns employee_id, last_name, and department_id. These columns will be logged every time an UPDATE statement is executed on the hr.employees table, regardless of whether the update affected these columns. (If you want to have the entire row image logged any time an update was made, use table-level ALL identification key logging, as described previously).

  Note:

  LOB, LONG, and ADT columns cannot be supplementally logged.

• User-defined conditional supplemental log groups

  To enable supplemental logging that uses user-defined conditional log groups, omit the ALWAYS clause from the SQL ALTER TABLE statement, as shown in the following example:

  ALTER TABLE HR.EMPLOYEES
     ADD SUPPLEMENTAL LOG GROUP emp_fulltime (EMPLOYEE_ID, LAST_NAME, 
     DEPARTMENT_ID);
  

  This creates a log group named emp_fulltime on table hr.employees. Just like the previous example, it consists of the columns employee_id, last_name, and department_id. But because the ALWAYS clause was omitted, before-images of the columns will be logged only if at least one of the columns is updated.

For both unconditional and conditional user-defined supplemental log groups, you can explicitly specify that a column in the log group be excluded from supplemental logging by specifying the NO LOG option. When you specify a log group and use the NO LOG option, you must specify at least one column in the log group without the NO LOG option, as shown in the following example:

ALTER TABLE HR.EMPLOYEES
   ADD SUPPLEMENTAL LOG GROUP emp_parttime(
   DEPARTMENT_ID NO LOG, EMPLOYEE_ID);

This enables you to associate this column with other columns in the named supplemental log group such that any modification to the NO LOG column causes the other columns in the supplemental log group to be placed in the redo log file. This might be useful, for example, if you want to log certain columns in a group if a LONG column changes. You cannot supplementally log the LONG column itself; however, you can use changes to that column to trigger supplemental logging of other columns in the same row.

Usage Notes for User-Defined Supplemental Log Groups

Keep the following in mind when you specify user-defined supplemental log groups:

• A column can belong to more than one supplemental log group. However, the before-image of the columns gets logged only once.

• If you specify the same columns to be logged both conditionally and unconditionally, the columns are logged unconditionally.

Example 1: Finding All Modifications in the Last Archived Redo Log File

The easiest way to examine the modification history of a database is to mine at the source database and use the online catalog to translate the redo log files. This example shows how to do the simplest analysis using LogMiner.

This example finds all modifications that are contained in the last archived redo log generated by the database (assuming that the database is not an Oracle Real Application Clusters (RAC) database).

Step 1   Determine which redo log file was most recently archived.

This example assumes that you know you want to mine the redo log file that was most recently archived.

SELECT NAME FROM V$ARCHIVED_LOG
   WHERE FIRST_TIME = (SELECT MAX(FIRST_TIME) FROM V$ARCHIVED_LOG);

NAME                            
-------------------------------------------
/usr/oracle/data/db1arch_1_16_482701534.dbf

Step 2   Specify the list of redo log files to be analyzed.

Specify the redo log file that was returned by the query in Step 1. The list will consist of one redo log file.

EXECUTE DBMS_LOGMNR.ADD_LOGFILE( -
  LOGFILENAME => '/usr/oracle/data/db1arch_1_16_482701534.dbf', -
  OPTIONS => DBMS_LOGMNR.NEW);

Step 3   Start LogMiner.

Start LogMiner and specify the dictionary to use.

EXECUTE DBMS_LOGMNR.START_LOGMNR( -
   OPTIONS => DBMS_LOGMNR.DICT_FROM_ONLINE_CATALOG);

Step 4   Query the V$LOGMNR_CONTENTS view.

Note that there are four transactions (two of them were committed within the redo log file being analyzed, and two were not). The output shows the DML statements in the order in which they were executed; thus transactions interleave among themselves.

SELECT username AS USR, (XIDUSN || '.' || XIDSLT || '.' ||  XIDSQN) AS XID, 
   SQL_REDO, SQL_UNDO FROM V$LOGMNR_CONTENTS WHERE username IN ('HR', 'OE');

USR    XID          SQL_REDO                        SQL_UNDO
----   ---------  ----------------------------------------------------
HR     1.11.1476  set transaction read write;

HR     1.11.1476  insert into "HR"."EMPLOYEES"(     delete from "HR"."EMPLOYEES" 
                  "EMPLOYEE_ID","FIRST_NAME",       where "EMPLOYEE_ID" = '306'
                  "LAST_NAME","EMAIL",              and "FIRST_NAME" = 'Nandini'
                  "PHONE_NUMBER","HIRE_DATE",       and "LAST_NAME" = 'Shastry'
                  "JOB_ID","SALARY",                and "EMAIL" = 'NSHASTRY'
                  "COMMISSION_PCT","MANAGER_ID",    and "PHONE_NUMBER" = '1234567890'
                  "DEPARTMENT_ID") values           and "HIRE_DATE" = TO_DATE('10-JAN-2003
                  ('306','Nandini','Shastry',       13:34:43', 'dd-mon-yyyy hh24:mi:ss') 
                  'NSHASTRY', '1234567890',         and "JOB_ID" = 'HR_REP' and 
                  TO_DATE('10-jan-2003 13:34:43',   "SALARY" = '120000' and 
                  'dd-mon-yyyy hh24:mi:ss'),         "COMMISSION_PCT" = '.05' and
                  'HR_REP','120000', '.05',         "DEPARTMENT_ID" = '10' and
                  '105','10');                      ROWID = 'AAAHSkAABAAAY6rAAO';
     
OE     1.1.1484   set transaction read write;

OE     1.1.1484   update "OE"."PRODUCT_INFORMATION"  update "OE"."PRODUCT_INFORMATION" 
                  set "WARRANTY_PERIOD" =            set "WARRANTY_PERIOD" = 
                  TO_YMINTERVAL('+05-00') where      TO_YMINTERVAL('+01-00') where
                  "PRODUCT_ID" = '1799' and          "PRODUCT_ID" = '1799' and
                  "WARRANTY_PERIOD" =                "WARRANTY_PERIOD" = 
                  TO_YMINTERVAL('+01-00') and        TO_YMINTERVAL('+05-00') and
                  ROWID = 'AAAHTKAABAAAY9mAAB';      ROWID = 'AAAHTKAABAAAY9mAAB'; 
                                                                                
OE     1.1.1484   update "OE"."PRODUCT_INFORMATION"  update "OE"."PRODUCT_INFORMATION"
                  set "WARRANTY_PERIOD" =            set "WARRANTY_PERIOD" =
                  TO_YMINTERVAL('+05-00') where      TO_YMINTERVAL('+01-00') where
                  "PRODUCT_ID" = '1801' and          "PRODUCT_ID" = '1801' and
                  "WARRANTY_PERIOD" =                "WARRANTY_PERIOD" = 
                  TO_YMINTERVAL('+01-00') and        TO_YMINTERVAL('+05-00') and
                  ROWID = 'AAAHTKAABAAAY9mAAC';      ROWID ='AAAHTKAABAAAY9mAAC';

HR     1.11.1476  insert into "HR"."EMPLOYEES"(     delete from "HR"."EMPLOYEES"
                  "EMPLOYEE_ID","FIRST_NAME",       "EMPLOYEE_ID" = '307' and 
                  "LAST_NAME","EMAIL",              "FIRST_NAME" = 'John' and
                  "PHONE_NUMBER","HIRE_DATE",       "LAST_NAME" = 'Silver' and
                  "JOB_ID","SALARY",                "EMAIL" = 'JSILVER' and 
                  "COMMISSION_PCT","MANAGER_ID",    "PHONE_NUMBER" = '5551112222'
                  "DEPARTMENT_ID") values           and "HIRE_DATE" = TO_DATE('10-jan-2003
                  ('307','John','Silver',           13:41:03', 'dd-mon-yyyy hh24:mi:ss') 
                   'JSILVER', '5551112222',         and "JOB_ID" ='105' and "DEPARTMENT_ID" 
                  TO_DATE('10-jan-2003 13:41:03',   = '50' and ROWID = 'AAAHSkAABAAAY6rAAP'; 
                  'dd-mon-yyyy hh24:mi:ss'),
                  'SH_CLERK','110000', '.05',
                  '105','50');                

OE     1.1.1484   commit;

HR     1.15.1481   set transaction read write;

HR     1.15.1481  delete from "HR"."EMPLOYEES"      insert into "HR"."EMPLOYEES"(
                  where "EMPLOYEE_ID" = '205' and   "EMPLOYEE_ID","FIRST_NAME",
                  "FIRST_NAME" = 'Shelley' and      "LAST_NAME","EMAIL","PHONE_NUMBER",
                  "LAST_NAME" = 'Higgins' and       "HIRE_DATE", "JOB_ID","SALARY",
                  "EMAIL" = 'SHIGGINS' and          "COMMISSION_PCT","MANAGER_ID",
                  "PHONE_NUMBER" = '515.123.8080'   "DEPARTMENT_ID") values
                  and "HIRE_DATE" = TO_DATE(        ('205','Shelley','Higgins',
                  '07-jun-1994 10:05:01',           and     'SHIGGINS','515.123.8080',
                  'dd-mon-yyyy hh24:mi:ss')         TO_DATE('07-jun-1994 10:05:01',
                  and "JOB_ID" = 'AC_MGR'           'dd-mon-yyyy hh24:mi:ss'),
                  and "SALARY"= '12000'            'AC_MGR','12000',NULL,'101','110'); 
                  and "COMMISSION_PCT" IS NULL 
                  and "MANAGER_ID" 
                  = '101' and "DEPARTMENT_ID" = 
                  '110' and ROWID = 
                  'AAAHSkAABAAAY6rAAM';


OE     1.8.1484   set transaction read write;

OE     1.8.1484   update "OE"."PRODUCT_INFORMATION"  update "OE"."PRODUCT_INFORMATION"
                  set "WARRANTY_PERIOD" =            set "WARRANTY_PERIOD" = 
                  TO_YMINTERVAL('+12-06') where      TO_YMINTERVAL('+20-00') where
                  "PRODUCT_ID" = '2350' and          "PRODUCT_ID" = '2350' and
                  "WARRANTY_PERIOD" =                "WARRANTY_PERIOD" =
                  TO_YMINTERVAL('+20-00') and        TO_YMINTERVAL('+20-00') and
                  ROWID = 'AAAHTKAABAAAY9tAAD';       ROWID ='AAAHTKAABAAAY9tAAD'; 

HR     1.11.1476  commit;

Step 5   End the LogMiner session.

SQL> EXECUTE DBMS_LOGMNR.END_LOGMNR();

Example 2: Grouping DML Statements into Committed Transactions

As shown in the first example, Example 1: Finding All Modifications in the Last Archived Redo Log File, LogMiner displays all modifications it finds in the redo log files that it analyzes by default, regardless of whether the transaction has been committed or not. In addition, LogMiner shows modifications in the same order in which they were executed. Because DML statements that belong to the same transaction are not grouped together, visual inspection of the output can be difficult. Although you can use SQL to group transactions, LogMiner provides an easier way. In this example, the latest archived redo log file will again be analyzed, but it will return only committed transactions.

Step 1   Determine which redo log file was most recently archived by the database.

This example assumes that you know you want to mine the redo log file that was most recently archived.

SELECT NAME FROM V$ARCHIVED_LOG
   WHERE FIRST_TIME = (SELECT MAX(FIRST_TIME) FROM V$ARCHIVED_LOG);

NAME                            
-------------------------------------------
/usr/oracle/data/db1arch_1_16_482701534.dbf

Step 2   Specify the list of redo log files to be analyzed.

Specify the redo log file that was returned by the query in Step 1. The list will consist of one redo log file.

EXECUTE DBMS_LOGMNR.ADD_LOGFILE( -
   LOGFILENAME => '/usr/oracle/data/db1arch_1_16_482701534.dbf', -
   OPTIONS => DBMS_LOGMNR.NEW);

Step 3   Start LogMiner.

Start LogMiner by specifying the dictionary to use and the COMMITTED_DATA_ONLY option.

EXECUTE DBMS_LOGMNR.START_LOGMNR( -
   OPTIONS => DBMS_LOGMNR.DICT_FROM_ONLINE_CATALOG + -
   DBMS_LOGMNR.COMMITTED_DATA_ONLY); 

Step 4   Query the V$LOGMNR_CONTENTS view.

Although transaction 1.11.1476 was started before transaction 1.1.1484 (as revealed in Example 1: Finding All Modifications in the Last Archived Redo Log File), it committed after transaction 1.1.1484 committed. In this example, therefore, transaction 1.1.1484 is shown in its entirety before transaction 1.11.1476. The two transactions that did not commit within the redo log file being analyzed are not returned.

SELECT username AS USR, (XIDUSN || '.' || XIDSLT || '.' ||  XIDSQN) AS XID, SQL_REDO, 
   SQL_UNDO FROM V$LOGMNR_CONTENTS WHERE username IN ('HR', 'OE');
;
USR    XID          SQL_REDO                        SQL_UNDO
----   ---------    ------------------------------- ---------------------------------
     
OE     1.1.1484   set transaction read write;

OE     1.1.1484   update "OE"."PRODUCT_INFORMATION"  update "OE"."PRODUCT_INFORMATION" 
                  set "WARRANTY_PERIOD" =            set "WARRANTY_PERIOD" = 
                  TO_YMINTERVAL('+05-00') where      TO_YMINTERVAL('+01-00') where
                  "PRODUCT_ID" = '1799' and          "PRODUCT_ID" = '1799' and
                  "WARRANTY_PERIOD" =                "WARRANTY_PERIOD" = 
                  TO_YMINTERVAL('+01-00') and        TO_YMINTERVAL('+05-00') and
                  ROWID = 'AAAHTKAABAAAY9mAAB';      ROWID = 'AAAHTKAABAAAY9mAAB'; 
                                                                                
OE     1.1.1484   update "OE"."PRODUCT_INFORMATION"  update "OE"."PRODUCT_INFORMATION"
                  set "WARRANTY_PERIOD" =            set "WARRANTY_PERIOD" =
                  TO_YMINTERVAL('+05-00') where      TO_YMINTERVAL('+01-00') where
                  "PRODUCT_ID" = '1801' and          "PRODUCT_ID" = '1801' and
                  "WARRANTY_PERIOD" =                "WARRANTY_PERIOD" = 
                  TO_YMINTERVAL('+01-00') and        TO_YMINTERVAL('+05-00') and
                  ROWID = 'AAAHTKAABAAAY9mAAC';      ROWID ='AAAHTKAABAAAY9mAAC';

OE     1.1.1484   commit;
                            
HR     1.11.1476  set transaction read write;

HR     1.11.1476  insert into "HR"."EMPLOYEES"(     delete from "HR"."EMPLOYEES" 
                  "EMPLOYEE_ID","FIRST_NAME",       where "EMPLOYEE_ID" = '306'
                  "LAST_NAME","EMAIL",              and "FIRST_NAME" = 'Nandini'
                  "PHONE_NUMBER","HIRE_DATE",       and "LAST_NAME" = 'Shastry'
                  "JOB_ID","SALARY",                and "EMAIL" = 'NSHASTRY'
                  "COMMISSION_PCT","MANAGER_ID",    and "PHONE_NUMBER" = '1234567890'
                  "DEPARTMENT_ID") values           and "HIRE_DATE" = TO_DATE('10-JAN-2003
                  ('306','Nandini','Shastry',       13:34:43', 'dd-mon-yyyy hh24:mi:ss') 
                  'NSHASTRY', '1234567890',         and "JOB_ID" = 'HR_REP' and 
                  TO_DATE('10-jan-2003 13:34:43',   "SALARY" = '120000' and 
                  'dd-mon-yyy hh24:mi:ss'),         "COMMISSION_PCT" = '.05' and
                  'HR_REP','120000', '.05',         "DEPARTMENT_ID" = '10' and
                  '105','10');                      ROWID = 'AAAHSkAABAAAY6rAAO';

HR     1.11.1476  insert into "HR"."EMPLOYEES"(     delete from "HR"."EMPLOYEES"
                  "EMPLOYEE_ID","FIRST_NAME",       "EMPLOYEE_ID" = '307' and 
                  "LAST_NAME","EMAIL",              "FIRST_NAME" = 'John' and
                  "PHONE_NUMBER","HIRE_DATE",       "LAST_NAME" = 'Silver' and
                  "JOB_ID","SALARY",                "EMAIL" = 'JSILVER' and 
                  "COMMISSION_PCT","MANAGER_ID",    "PHONE_NUMBER" = '5551112222'
                  "DEPARTMENT_ID") values           and "HIRE_DATE" = TO_DATE('10-jan-2003
                  ('307','John','Silver',           13:41:03', 'dd-mon-yyyy hh24:mi:ss') 
                   'JSILVER', '5551112222',         and "JOB_ID" ='105' and "DEPARTMENT_ID" 
                  TO_DATE('10-jan-2003 13:41:03',   = '50' and ROWID = 'AAAHSkAABAAAY6rAAP'; 
                  'dd-mon-yyyy hh24:mi:ss'),
                  'SH_CLERK','110000', '.05',
                  '105','50');                

HR     1.11.1476  commit;

Step 5   End the LogMiner session.

EXECUTE DBMS_LOGMNR.END_LOGMNR();

Example 3: Formatting the Reconstructed SQL

As shown in Example 2: Grouping DML Statements into Committed Transactions, using the COMMITTED_DATA_ONLY option with the dictionary in the online redo log file is an easy way to focus on committed transactions. However, one aspect remains that makes visual inspection difficult: the association between the column names and their respective values in an INSERT statement are not apparent. This can be addressed by specifying the PRINT_PRETTY_SQL option. Note that specifying this option will make some of the reconstructed SQL statements nonexecutable.

Step 1   Determine which redo log file was most recently archived.

This example assumes that you know you want to mine the redo log file that was most recently archived.

SELECT NAME FROM V$ARCHIVED_LOG
   WHERE FIRST_TIME = (SELECT MAX(FIRST_TIME) FROM V$ARCHIVED_LOG);

NAME                            
-------------------------------------------
/usr/oracle/data/db1arch_1_16_482701534.dbf

Step 2   Specify the list of redo log files to be analyzed.

Specify the redo log file that was returned by the query in Step 1. The list will consist of one redo log file.

EXECUTE DBMS_LOGMNR.ADD_LOGFILE( -
   LOGFILENAME => '/usr/oracle/data/db1arch_1_16_482701534.dbf', -
   OPTIONS => DBMS_LOGMNR.NEW);

Step 3   Start LogMiner.

Start LogMiner by specifying the dictionary to use and the COMMITTED_DATA_ONLY and PRINT_PRETTY_SQL options.

EXECUTE DBMS_LOGMNR.START_LOGMNR(-
   OPTIONS => DBMS_LOGMNR.DICT_FROM_ONLINE_CATALOG + -
              DBMS_LOGMNR.COMMITTED_DATA_ONLY + -
              DBMS_LOGMNR.PRINT_PRETTY_SQL);

The DBMS_LOGMNR.PRINT_PRETTY_SQL option changes only the format of the reconstructed SQL, and therefore is useful for generating reports for visual inspection.

Step 4   Query the V$LOGMNR_CONTENTS view for SQL_REDO statements.

SELECT username AS USR, (XIDUSN || '.' || XIDSLT || '.' ||  XIDSQN) AS XID, SQL_REDO 
   FROM V$LOGMNR_CONTENTS;

USR    XID          SQL_REDO                     
----   ---------  -----------------------------------------------------

OE     1.1.1484   set transaction read write;

OE     1.1.1484   update "OE"."PRODUCT_INFORMATION"  
                    set 
                      "WARRANTY_PERIOD" = TO_YMINTERVAL('+05-00') 
                    where
                      "PRODUCT_ID" = '1799' and          
                      "WARRANTY_PERIOD" = TO_YMINTERVAL('+01-00') and        
                      ROWID = 'AAAHTKAABAAAY9mAAB';  
                                                                                
OE     1.1.1484   update "OE"."PRODUCT_INFORMATION"
                    set 
                      "WARRANTY_PERIOD" = TO_YMINTERVAL('+05-00') 
                    where
                      "PRODUCT_ID" = '1801' and
                      "WARRANTY_PERIOD" = TO_YMINTERVAL('+01-00') and   
                      ROWID = 'AAAHTKAABAAAY9mAAC'; 

OE     1.1.1484   commit;
                            
HR     1.11.1476  set transaction read write;

HR     1.11.1476  insert into "HR"."EMPLOYEES"
                   values
                     "EMPLOYEE_ID" = 306,
                     "FIRST_NAME" = 'Nandini',
                     "LAST_NAME" = 'Shastry',
                     "EMAIL" = 'NSHASTRY',
                     "PHONE_NUMBER" = '1234567890',
                     "HIRE_DATE" = TO_DATE('10-jan-2003 13:34:43', 
                     'dd-mon-yyyy hh24:mi:ss',
                     "JOB_ID" = 'HR_REP',
                     "SALARY" = 120000,
                     "COMMISSION_PCT" = .05,
                     "MANAGER_ID" = 105,
                     "DEPARTMENT_ID" = 10;

HR     1.11.1476   insert into "HR"."EMPLOYEES"
                    values
                       "EMPLOYEE_ID" = 307,
                       "FIRST_NAME" = 'John',
                       "LAST_NAME" = 'Silver',
                       "EMAIL" = 'JSILVER',
                       "PHONE_NUMBER" = '5551112222',
                       "HIRE_DATE" = TO_DATE('10-jan-2003 13:41:03',
                       'dd-mon-yyyy hh24:mi:ss'),
                       "JOB_ID" = 'SH_CLERK',
                       "SALARY" = 110000,
                       "COMMISSION_PCT" = .05,
                       "MANAGER_ID" = 105,
                       "DEPARTMENT_ID" = 50;
HR     1.11.1476    commit;

Step 5   Query the V$LOGMNR_CONTENTS view for reconstructed SQL_UNDO statements.

SELECT username AS USR, (XIDUSN || '.' || XIDSLT || '.' ||  XIDSQN) AS XID, SQL_UNDO 
   FROM V$LOGMNR_CONTENTS;

USR   XID        SQL_UNDO                     
----   ---------  -----------------------------------------------------

     
OE     1.1.1484   set transaction read write;

OE     1.1.1484   update "OE"."PRODUCT_INFORMATION"  
                    set 
                      "WARRANTY_PERIOD" = TO_YMINTERVAL('+01-00') 
                    where
                      "PRODUCT_ID" = '1799' and          
                      "WARRANTY_PERIOD" = TO_YMINTERVAL('+05-00') and        
                      ROWID = 'AAAHTKAABAAAY9mAAB';  
                                                                                
OE     1.1.1484   update "OE"."PRODUCT_INFORMATION"
                    set 
                      "WARRANTY_PERIOD" = TO_YMINTERVAL('+01-00') 
                    where
                      "PRODUCT_ID" = '1801' and
                      "WARRANTY_PERIOD" = TO_YMINTERVAL('+05-00') and   
                      ROWID = 'AAAHTKAABAAAY9mAAC'; 

OE     1.1.1484   commit;
                            
HR     1.11.1476  set transaction read write;

HR     1.11.1476  delete from "HR"."EMPLOYEES"
                  where
                     "EMPLOYEE_ID" = 306 and
                     "FIRST_NAME" = 'Nandini' and
                     "LAST_NAME" = 'Shastry' and
                     "EMAIL" = 'NSHASTRY' and
                     "PHONE_NUMBER" = '1234567890' and
                     "HIRE_DATE" = TO_DATE('10-jan-2003 13:34:43',
                     'dd-mon-yyyy hh24:mi:ss') and
                     "JOB_ID" = 'HR_REP' and 
                     "SALARY" = 120000 and
                     "COMMISSION_PCT" = .05 and
                     "MANAGER_ID" = 105 and
                     "DEPARTMENT_ID" = 10 and
                     ROWID = 'AAAHSkAABAAAY6rAAO';

HR     1.11.1476   delete from "HR"."EMPLOYEES"
                   where
                       "EMPLOYEE_ID" = 307 and
                       "FIRST_NAME" = 'John' and
                       "LAST_NAME" = 'Silver' and
                       "EMAIL" = 'JSILVER' and
                       "PHONE_NUMBER" = '555122122' and
                       "HIRE_DATE" = TO_DATE('10-jan-2003 13:41:03',
                       'dd-mon-yyyy hh24:mi:ss') and
                       "JOB_ID" = 'SH_CLERK' and
                       "SALARY" = 110000 and
                       "COMMISSION_PCT" = .05 and
                       "MANAGER_ID" = 105 and
                       "DEPARTMENT_ID" = 50 and
                       ROWID = 'AAAHSkAABAAAY6rAAP'; 
HR     1.11.1476    commit;

Step 6   End the LogMiner session.

EXECUTE DBMS_LOGMNR.END_LOGMNR();

Example 4: Using the LogMiner Dictionary in the Redo Log Files

This example shows how to use the dictionary that has been extracted to the redo log files. When you use the dictionary in the online catalog, you must mine the redo log files in the same database that generated them. Using the dictionary contained in the redo log files enables you to mine redo log files in a different database.

Step 1   Determine which redo log file was most recently archived by the database.

This example assumes that you know you want to mine the redo log file that was most recently archived.

SELECT NAME, SEQUENCE# FROM V$ARCHIVED_LOG
   WHERE FIRST_TIME = (SELECT MAX(FIRST_TIME) FROM V$ARCHIVED_LOG);

NAME                                           SEQUENCE#
--------------------------------------------   --------------
/usr/oracle/data/db1arch_1_210_482701534.dbf   210

Step 2   Find the redo log files containing the dictionary.

The dictionary may be contained in more than one redo log file. Therefore, you need to determine which redo log files contain the start and end of the dictionary. Query the V$ARCHIVED_LOG view, as follows:

1. Find a redo log file that contains the end of the dictionary extract. This redo log file must have been created before the redo log file that you want to analyze, but should be as recent as possible.

   SELECT NAME, SEQUENCE#, DICTIONARY_BEGIN d_beg, DICTIONARY_END d_end
      FROM V$ARCHIVED_LOG
      WHERE SEQUENCE# = (SELECT MAX (SEQUENCE#) FROM V$ARCHIVED_LOG
      WHERE DICTIONARY_END = 'YES' and SEQUENCE# <= 210);
   
   NAME                                           SEQUENCE#    D_BEG  D_END
   --------------------------------------------   ----------   -----  ------
   /usr/oracle/data/db1arch_1_208_482701534.dbf   208          NO     YES
   

2. Find the redo log file that contains the start of the data dictionary extract that matches the end of the dictionary found in the previous step:

   SELECT NAME, SEQUENCE#, DICTIONARY_BEGIN d_beg, DICTIONARY_END d_end
      FROM V$ARCHIVED_LOG
      WHERE SEQUENCE# = (SELECT MAX (SEQUENCE#) FROM V$ARCHIVED_LOG
      WHERE DICTIONARY_BEGIN = 'YES' and SEQUENCE# <= 208);
   
   NAME                                           SEQUENCE#    D_BEG  D_END
   --------------------------------------------   ----------   -----  ------
   /usr/oracle/data/db1arch_1_207_482701534.dbf   207          YES     NO
   

3. Specify the list of the redo log files of interest. Add the redo log files that contain the start and end of the dictionary and the redo log file that you want to analyze. You can add the redo log files in any order.

   EXECUTE DBMS_LOGMNR.ADD_LOGFILE(-
      LOGFILENAME => '/usr/oracle/data/db1arch_1_210_482701534.dbf', -
          OPTIONS => DBMS_LOGMNR.NEW);
   EXECUTE DBMS_LOGMNR.ADD_LOGFILE(-
      LOGFILENAME => '/usr/oracle/data/db1arch_1_208_482701534.dbf');
   EXECUTE DBMS_LOGMNR.ADD_LOGFILE(-
      LOGFILENAME => '/usr/oracle/data/db1arch_1_207_482701534.dbf');
   

4. Query the V$LOGMNR_LOGS view to display the list of redo log files to be analyzed, including their timestamps.

   In the output, LogMiner flags a missing redo log file. LogMiner lets you proceed with mining, provided that you do not specify an option that requires the missing redo log file for proper functioning.

SQL> SELECT FILENAME AS name, LOW_TIME, HIGH_TIME FROM V$LOGMNR_LOGS;
 NAME                                  LOW_TIME              HIGH_TIME
-------------------------------------   --------------------  --------------------
/usr/data/db1arch_1_207_482701534.dbf   10-jan-2003 12:01:34  10-jan-2003 13:32:46

/usr/data/db1arch_1_208_482701534.dbf   10-jan-2003 13:32:46  10-jan-2003 15:57:03

Missing logfile(s) for thread number 1, 10-jan-2003 15:57:03  10-jan-2003 15:59:53 
sequence number(s) 209 to 209

/usr/data/db1arch_1_210_482701534.dbf   10-jan-2003 15:59:53  10-jan-2003 16:07:41

Step 3   Start LogMiner.

Start LogMiner by specifying the dictionary to use and the COMMITTED_DATA_ONLY and PRINT_PRETTY_SQL options.

EXECUTE DBMS_LOGMNR.START_LOGMNR(-
   OPTIONS => DBMS_LOGMNR.DICT_FROM_REDO_LOGS + -
              DBMS_LOGMNR.COMMITTED_DATA_ONLY + -
              DBMS_LOGMNR.PRINT_PRETTY_SQL);

Step 4   Query the V$LOGMNR_CONTENTS view.

To reduce the number of rows returned by the query, exclude from the query all DML statements done in the SYS or SYSTEM schemas. (This query specifies a timestamp to exclude transactions that were involved in the dictionary extraction.)

The output shows three transactions: two DDL transactions and one DML transaction. The DDL transactions, 1.2.1594 and 1.18.1602, create the table oe.product_tracking and create a trigger on table oe.product_information, respectively. In both transactions, the DML statements done to the system tables (tables owned by SYS) are filtered out because of the query predicate.

The DML transaction, 1.9.1598, updates the oe.product_information table. The update operation in this transaction is fully translated. However, the query output also contains some untranslated reconstructed SQL statements. Most likely, these statements were done on the oe.product_tracking table that was created after the data dictionary was extracted to the redo log files.

(The next example shows how to run LogMiner with the DDL_DICT_TRACKING option so that all SQL statements are fully translated; no binary data is returned.)

SELECT USERNAME AS usr, SQL_REDO FROM V$LOGMNR_CONTENTS 
   WHERE SEG_OWNER IS NULL OR SEG_OWNER NOT IN ('SYS', 'SYSTEM') AND
   TIMESTAMP > '10-jan-2003 15:59:53';

USR             XID         SQL_REDO
---             --------    -----------------------------------
SYS             1.2.1594    set transaction read write;
SYS             1.2.1594    create table oe.product_tracking (product_id number not null,
                            modified_time date,
                            old_list_price number(8,2),
                            old_warranty_period interval year(2) to month);
SYS             1.2.1594    commit;

SYS             1.18.1602   set transaction read write;
SYS             1.18.1602   create or replace trigger oe.product_tracking_trigger
                            before update on oe.product_information
                            for each row
                            when (new.list_price <> old.list_price or
                                  new.warranty_period <> old.warranty_period)
                            declare
                            begin
                            insert into oe.product_tracking values 
                               (:old.product_id, sysdate,
                                :old.list_price, :old.warranty_period);
                            end;
SYS             1.18.1602   commit;

OE              1.9.1598    update "OE"."PRODUCT_INFORMATION"
                              set
                                "WARRANTY_PERIOD" = TO_YMINTERVAL('+08-00'),
                                "LIST_PRICE" = 100
                              where
                                "PRODUCT_ID" = 1729 and
                                "WARRANTY_PERIOD" = TO_YMINTERVAL('+05-00') and
                                "LIST_PRICE" = 80 and
                                ROWID = 'AAAHTKAABAAAY9yAAA';

OE              1.9.1598    insert into "UNKNOWN"."OBJ# 33415"
                              values
                                "COL 1" = HEXTORAW('c2121e'),
                                "COL 2" = HEXTORAW('7867010d110804'),
                                "COL 3" = HEXTORAW('c151'),
                                "COL 4" = HEXTORAW('800000053c');

OE              1.9.1598    update "OE"."PRODUCT_INFORMATION"
                              set
                                "WARRANTY_PERIOD" = TO_YMINTERVAL('+08-00'),
                                "LIST_PRICE" = 92
                              where
                                "PRODUCT_ID" = 2340 and
                                "WARRANTY_PERIOD" = TO_YMINTERVAL('+05-00') and
                                "LIST_PRICE" = 72 and
                                ROWID = 'AAAHTKAABAAAY9zAAA';

OE              1.9.1598    insert into "UNKNOWN"."OBJ# 33415"
                              values
                                "COL 1" = HEXTORAW('c21829'),
                                "COL 2" = HEXTORAW('7867010d110808'),
                                "COL 3" = HEXTORAW('c149'),
                                "COL 4" = HEXTORAW('800000053c');

OE              1.9.1598     commit;

Step 5   Issue additional queries, if desired.

Display all the DML statements that were executed as part of the CREATE TABLE DDL statement. This includes statements executed by users and internally by Oracle.

Note:

If you choose to reapply statements displayed by a query such as the one shown here, reapply DDL statements only. Do not reapply DML statements that were executed internally by Oracle, or you risk corrupting your database. In the following output, the only statement that you should use in a reapply operation is the CREATE TABLE OE.PRODUCT_TRACKING statement.

SELECT SQL_REDO FROM V$LOGMNR_CONTENTS
   WHERE XIDUSN  = 1 and XIDSLT = 2 and XIDSQN = 1594;

SQL_REDO
--------------------------------------------------------------------------------
set transaction read write;

insert into "SYS"."OBJ$"
 values
    "OBJ#" = 33415,
    "DATAOBJ#" = 33415,
    "OWNER#" = 37,
    "NAME" = 'PRODUCT_TRACKING',
    "NAMESPACE" = 1,
    "SUBNAME" IS NULL,
    "TYPE#" = 2,
    "CTIME" = TO_DATE('13-jan-2003 14:01:03', 'dd-mon-yyyy hh24:mi:ss'),
    "MTIME" = TO_DATE('13-jan-2003 14:01:03', 'dd-mon-yyyy hh24:mi:ss'),
    "STIME" = TO_DATE('13-jan-2003 14:01:03', 'dd-mon-yyyy hh24:mi:ss'),
    "STATUS" = 1,
    "REMOTEOWNER" IS NULL,
    "LINKNAME" IS NULL,
    "FLAGS" = 0,
    "OID$" IS NULL,
    "SPARE1" = 6,
    "SPARE2" = 1,
    "SPARE3" IS NULL,
    "SPARE4" IS NULL,
    "SPARE5" IS NULL,
    "SPARE6" IS NULL;

insert into "SYS"."TAB$"
 values
    "OBJ#" = 33415,
    "DATAOBJ#" = 33415,
    "TS#" = 0,
    "FILE#" = 1,
    "BLOCK#" = 121034,
    "BOBJ#" IS NULL,
    "TAB#" IS NULL,
    "COLS" = 5,
    "CLUCOLS" IS NULL,
    "PCTFREE$" = 10,
    "PCTUSED$" = 40,
    "INITRANS" = 1,
    "MAXTRANS" = 255,
    "FLAGS" = 1,
    "AUDIT$" = '--------------------------------------',
    "ROWCNT" IS NULL,
    "BLKCNT" IS NULL,
    "EMPCNT" IS NULL,
    "AVGSPC" IS NULL,
    "CHNCNT" IS NULL,
    "AVGRLN" IS NULL,
    "AVGSPC_FLB" IS NULL,
    "FLBCNT" IS NULL,
    "ANALYZETIME" IS NULL,
    "SAMPLESIZE" IS NULL,
    "DEGREE" IS NULL,
    "INSTANCES" IS NULL,
    "INTCOLS" = 5,
    "KERNELCOLS" = 5,
    "PROPERTY" = 536870912,
    "TRIGFLAG" = 0,
    "SPARE1" = 178,
    "SPARE2" IS NULL,
    "SPARE3" IS NULL,
    "SPARE4" IS NULL,
    "SPARE5" IS NULL,
    "SPARE6" = TO_DATE('13-jan-2003 14:01:05', 'dd-mon-yyyy hh24:mi:ss'),

insert into "SYS"."COL$"
 values
    "OBJ#" = 33415,
    "COL#" = 1,
    "SEGCOL#" = 1,
    "SEGCOLLENGTH" = 22,
    "OFFSET" = 0,
    "NAME" = 'PRODUCT_ID',
    "TYPE#" = 2,
    "LENGTH" = 22,
    "FIXEDSTORAGE" = 0,
    "PRECISION#" IS NULL,
    "SCALE" IS NULL,
    "NULL$" = 1,
    "DEFLENGTH" IS NULL,
    "SPARE6" IS NULL,
    "INTCOL#" = 1,
    "PROPERTY" = 0,
    "CHARSETID" = 0,
    "CHARSETFORM" = 0,
    "SPARE1" = 0,
    "SPARE2" = 0,
    "SPARE3" = 0,
    "SPARE4" IS NULL,
    "SPARE5" IS NULL,
    "DEFAULT$" IS NULL;

insert into "SYS"."COL$"
 values
    "OBJ#" = 33415,
    "COL#" = 2,
    "SEGCOL#" = 2,
    "SEGCOLLENGTH" = 7,
    "OFFSET" = 0,
    "NAME" = 'MODIFIED_TIME',
    "TYPE#" = 12,
    "LENGTH" = 7,
    "FIXEDSTORAGE" = 0,
    "PRECISION#" IS NULL,
    "SCALE" IS NULL,
    "NULL$" = 0,
    "DEFLENGTH" IS NULL,
    "SPARE6" IS NULL,
    "INTCOL#" = 2,
    "PROPERTY" = 0,
    "CHARSETID" = 0,
    "CHARSETFORM" = 0,
    "SPARE1" = 0,
    "SPARE2" = 0,
    "SPARE3" = 0,
    "SPARE4" IS NULL,
    "SPARE5" IS NULL,
    "DEFAULT$" IS NULL;

insert into "SYS"."COL$"
 values
    "OBJ#" = 33415,
    "COL#" = 3,
    "SEGCOL#" = 3,
    "SEGCOLLENGTH" = 22,
    "OFFSET" = 0,
    "NAME" = 'OLD_LIST_PRICE',
    "TYPE#" = 2,
    "LENGTH" = 22,
    "FIXEDSTORAGE" = 0,
    "PRECISION#" = 8,
    "SCALE" = 2,
    "NULL$" = 0,
    "DEFLENGTH" IS NULL,
    "SPARE6" IS NULL,
    "INTCOL#" = 3,
    "PROPERTY" = 0,
    "CHARSETID" = 0,
    "CHARSETFORM" = 0,
    "SPARE1" = 0,
    "SPARE2" = 0,
    "SPARE3" = 0,
    "SPARE4" IS NULL,
    "SPARE5" IS NULL,
    "DEFAULT$" IS NULL;

insert into "SYS"."COL$"
 values
    "OBJ#" = 33415,
    "COL#" = 4,
    "SEGCOL#" = 4,
    "SEGCOLLENGTH" = 5,
    "OFFSET" = 0,
    "NAME" = 'OLD_WARRANTY_PERIOD',
    "TYPE#" = 182,
    "LENGTH" = 5,
    "FIXEDSTORAGE" = 0,
    "PRECISION#" = 2,
    "SCALE" = 0,
    "NULL$" = 0,
    "DEFLENGTH" IS NULL,
    "SPARE6" IS NULL,
    "INTCOL#" = 4,
    "PROPERTY" = 0,
    "CHARSETID" = 0,
    "CHARSETFORM" = 0,
    "SPARE1" = 0,
    "SPARE2" = 2,
    "SPARE3" = 0,
    "SPARE4" IS NULL,
    "SPARE5" IS NULL,
    "DEFAULT$" IS NULL;

insert into "SYS"."CCOL$"
 values
    "OBJ#" = 33415,
    "CON#" = 2090,
    "COL#" = 1,
    "POS#" IS NULL,
    "INTCOL#" = 1,
    "SPARE1" = 0,
    "SPARE2" IS NULL,
    "SPARE3" IS NULL,
    "SPARE4" IS NULL,
    "SPARE5" IS NULL,
    "SPARE6" IS NULL;

insert into "SYS"."CDEF$"
 values
    "OBJ#" = 33415,
    "CON#" = 2090,
    "COLS" = 1,
    "TYPE#" = 7,
    "ROBJ#" IS NULL,
    "RCON#" IS NULL,
    "RRULES" IS NULL,
    "MATCH#" IS NULL,
    "REFACT" IS NULL,
    "ENABLED" = 1,
    "CONDLENGTH" = 24,
    "SPARE6" IS NULL,
    "INTCOLS" = 1,
    "MTIME" = TO_DATE('13-jan-2003 14:01:08', 'dd-mon-yyyy hh24:mi:ss'),
    "DEFER" = 12,
    "SPARE1" = 6,
    "SPARE2" IS NULL,
    "SPARE3" IS NULL,
    "SPARE4" IS NULL,
    "SPARE5" IS NULL,
    "CONDITION" = '"PRODUCT_ID" IS NOT NULL';

create table oe.product_tracking (product_id number not null,
  modified_time date,
  old_product_description varchar2(2000),
  old_list_price number(8,2),
  old_warranty_period interval year(2) to month);

update "SYS"."SEG$"
  set
    "TYPE#" = 5,
    "BLOCKS" = 5,
    "EXTENTS" = 1,
    "INIEXTS" = 5,
    "MINEXTS" = 1,
    "MAXEXTS" = 121,
    "EXTSIZE" = 5,
    "EXTPCT" = 50,
    "USER#" = 37,
    "LISTS" = 0,
    "GROUPS" = 0,
    "CACHEHINT" = 0,
    "HWMINCR" = 33415,
    "SPARE1" = 1024
  where
    "TS#" = 0 and
    "FILE#" = 1 and
    "BLOCK#" = 121034 and
    "TYPE#" = 3 and
    "BLOCKS" = 5 and
    "EXTENTS" = 1 and
    "INIEXTS" = 5 and
    "MINEXTS" = 1 and
    "MAXEXTS" = 121 and
    "EXTSIZE" = 5 and
    "EXTPCT" = 50 and
    "USER#" = 37 and
    "LISTS" = 0 and
    "GROUPS" = 0 and
    "BITMAPRANGES" = 0 and
    "CACHEHINT" = 0 and
    "SCANHINT" = 0 and
    "HWMINCR" = 33415 and
    "SPARE1" = 1024 and
    "SPARE2" IS NULL and
    ROWID = 'AAAAAIAABAAAdMOAAB';

insert into "SYS"."CON$"
 values
    "OWNER#" = 37,
    "NAME" = 'SYS_C002090',
    "CON#" = 2090,
    "SPARE1" IS NULL,
    "SPARE2" IS NULL,
    "SPARE3" IS NULL,
    "SPARE4" IS NULL,
    "SPARE5" IS NULL,
    "SPARE6" IS NULL;

commit;

Step 6   End the LogMiner session.

EXECUTE DBMS_LOGMNR.END_LOGMNR();

Example 5: Tracking DDL Statements in the Internal Dictionary

By using the DBMS_LOGMNR.DDL_DICT_TRACKING option, this example ensures that the LogMiner internal dictionary is updated with the DDL statements encountered in the redo log files.

Step 1   Determine which redo log file was most recently archived by the database.

This example assumes that you know you want to mine the redo log file that was most recently archived.

SELECT NAME, SEQUENCE# FROM V$ARCHIVED_LOG 
   WHERE FIRST_TIME = (SELECT MAX(FIRST_TIME) FROM V$ARCHIVED_LOG);

NAME                                           SEQUENCE#
--------------------------------------------   --------------
/usr/oracle/data/db1arch_1_210_482701534.dbf   210

Step 2   Find the dictionary in the redo log files.

Because the dictionary may be contained in more than one redo log file, you need to determine which redo log files contain the start and end of the data dictionary. Query the V$ARCHIVED_LOG view, as follows:

1. Find a redo log that contains the end of the data dictionary extract. This redo log file must have been created before the redo log files that you want to analyze, but should be as recent as possible.

   SELECT NAME, SEQUENCE#, DICTIONARY_BEGIN d_beg, DICTIONARY_END d_end
      FROM V$ARCHIVED_LOG
      WHERE SEQUENCE# = (SELECT MAX (SEQUENCE#) FROM V$ARCHIVED_LOG
      WHERE DICTIONARY_END = 'YES' and SEQUENCE# < 210);
   
   
   NAME                                           SEQUENCE#    D_BEG  D_END
   --------------------------------------------   ----------   -----  ------
   /usr/oracle/data/db1arch_1_208_482701534.dbf   208          NO     YES
   

2. Find the redo log file that contains the start of the data dictionary extract that matches the end of the dictionary found by the previous SQL statement:

   SELECT NAME, SEQUENCE#, DICTIONARY_BEGIN d_beg, DICTIONARY_END d_end
      FROM V$ARCHIVED_LOG
      WHERE SEQUENCE# = (SELECT MAX (SEQUENCE#) FROM V$ARCHIVED_LOG
      WHERE DICTIONARY_BEGIN = 'YES' and SEQUENCE# <= 208);
   
   NAME                                           SEQUENCE#    D_BEG  D_END
   --------------------------------------------   ----------   -----  ------
   /usr/oracle/data/db1arch_1_208_482701534.dbf   207          YES     NO
   

Step 3   Ensure that you have a complete list of redo log files.

To successfully apply DDL statements encountered in the redo log files, ensure that all files are included in the list of redo log files to mine. The missing log file corresponding to sequence# 209 must be included in the list. Determine the names of the redo log files that you need to add to the list by issuing the following query:

SELECT NAME FROM V$ARCHIVED_LOG
   WHERE SEQUENCE# >= 207 AND SEQUENCE# <= 210 
   ORDER BY SEQUENCE# ASC;

NAME                                           
--------------------------------------------   
/usr/oracle/data/db1arch_1_207_482701534.dbf  
/usr/oracle/data/db1arch_1_208_482701534.dbf  
/usr/oracle/data/db1arch_1_209_482701534.dbf  
/usr/oracle/data/db1arch_1_210_482701534.dbf  

Step 4   Specify the list of the redo log files of interest.

Include the redo log files that contain the beginning and end of the dictionary, the redo log file that you want to mine, and any redo log files required to create a list without gaps. You can add the redo log files in any order.

EXECUTE DBMS_LOGMNR.ADD_LOGFILE(-
   LOGFILENAME => '/usr/oracle/data/db1arch_1_210_482701534.dbf', -

OPTIONS => DBMS_LOGMNR.NEW);

EXECUTE DBMS_LOGMNR.ADD_LOGFILE(-
   LOGFILENAME => '/usr/oracle/data/db1arch_1_209_482701534.dbf');
EXECUTE DBMS_LOGMNR.ADD_LOGFILE(-
   LOGFILENAME => '/usr/oracle/data/db1arch_1_208_482701534.dbf');
EXECUTE DBMS_LOGMNR.ADD_LOGFILE(-
   LOGFILENAME => '/usr/oracle/data/db1arch_1_207_482701534.dbf');

Step 5   Start LogMiner.

Start LogMiner by specifying the dictionary to use and the DDL_DICT_TRACKING, COMMITTED_DATA_ONLY, and PRINT_PRETTY_SQL options.

EXECUTE DBMS_LOGMNR.START_LOGMNR(-
   OPTIONS => DBMS_LOGMNR.DICT_FROM_REDO_LOGS + -
              DBMS_LOGMNR.DDL_DICT_TRACKING + -
              DBMS_LOGMNR.COMMITTED_DATA_ONLY + -
              DBMS_LOGMNR.PRINT_PRETTY_SQL);

Step 6   Query the V$LOGMNR_CONTENTS view.

To reduce the number of rows returned, exclude from the query all DML statements done in the SYS or SYSTEM schemas. (This query specifies a timestamp to exclude transactions that were involved in the dictionary extraction.)

The query returns all the reconstructed SQL statements correctly translated and the insert operations on the oe.product_tracking table that occurred because of the trigger execution.

SELECT USERNAME AS usr,(XIDUSN || '.' || XIDSLT || '.' || XIDSQN) as XID, SQL_REDO FROM  
   V$LOGMNR_CONTENTS 
   WHERE SEG_OWNER IS NULL OR SEG_OWNER NOT IN ('SYS', 'SYSTEM') AND
   TIMESTAMP > '10-jan-2003 15:59:53';

USR             XID         SQL_REDO
-----------     --------    -----------------------------------
SYS             1.2.1594    set transaction read write;
SYS             1.2.1594    create table oe.product_tracking (product_id number not null,
                            modified_time date,
                            old_list_price number(8,2),
                            old_warranty_period interval year(2) to month);
SYS             1.2.1594    commit;

SYS             1.18.1602   set transaction read write;
SYS             1.18.1602   create or replace trigger oe.product_tracking_trigger
                            before update on oe.product_information
                            for each row
                            when (new.list_price <> old.list_price or
                                  new.warranty_period <> old.warranty_period)
                            declare
                            begin
                            insert into oe.product_tracking values 
                               (:old.product_id, sysdate,
                                :old.list_price, :old.warranty_period);
                            end;
SYS             1.18.1602   commit;

OE              1.9.1598    update "OE"."PRODUCT_INFORMATION"
                              set
                                "WARRANTY_PERIOD" = TO_YMINTERVAL('+08-00'),
                                "LIST_PRICE" = 100
                              where
                                "PRODUCT_ID" = 1729 and
                                "WARRANTY_PERIOD" = TO_YMINTERVAL('+05-00') and
                                "LIST_PRICE" = 80 and
                                ROWID = 'AAAHTKAABAAAY9yAAA';
OE              1.9.1598    insert into "OE"."PRODUCT_TRACKING"
                              values
                                "PRODUCT_ID" = 1729,
                                "MODIFIED_TIME" = TO_DATE('13-jan-2003 16:07:03', 
                                'dd-mon-yyyy hh24:mi:ss'),
                                "OLD_LIST_PRICE" = 80,
                                "OLD_WARRANTY_PERIOD" = TO_YMINTERVAL('+05-00');

OE              1.9.1598    update "OE"."PRODUCT_INFORMATION"
                              set
                                "WARRANTY_PERIOD" = TO_YMINTERVAL('+08-00'),
                                "LIST_PRICE" = 92
                              where
                                "PRODUCT_ID" = 2340 and
                                "WARRANTY_PERIOD" = TO_YMINTERVAL('+05-00') and
                                "LIST_PRICE" = 72 and
                                ROWID = 'AAAHTKAABAAAY9zAAA';

OE              1.9.1598    insert into "OE"."PRODUCT_TRACKING"
                              values
                                "PRODUCT_ID" = 2340,
                                "MODIFIED_TIME" = TO_DATE('13-jan-2003 16:07:07', 
                                'dd-mon-yyyy hh24:mi:ss'),
                                "OLD_LIST_PRICE" = 72,
                                "OLD_WARRANTY_PERIOD" = TO_YMINTERVAL('+05-00');

OE              1.9.1598     commit;

Step 7   End the LogMiner session.

EXECUTE DBMS_LOGMNR.END_LOGMNR();

Example 6: Filtering Output by Time Range

In the previous two examples, rows were filtered by specifying a timestamp-based predicate (timestamp > '10-jan-2003 15:59:53') in the query. However, a more efficient way to filter out redo records based on timestamp values is by specifying the time range in the DBMS_LOGMNR.START_LOGMNR procedure call, as shown in this example.

Step 1   Create a list of redo log files to mine.

Suppose you want to mine redo log files generated since a given time. The following procedure creates a list of redo log files based on a specified time. The subsequent SQL EXECUTE statement calls the procedure and specifies the starting time as 2 p.m. on Jan-13-2003.

--
-- my_add_logfiles
-- Add all archived logs generated after a specified start_time.
--
CREATE OR REPLACE PROCEDURE my_add_logfiles (in_start_time  IN DATE) AS
  CURSOR  c_log IS 
    SELECT NAME FROM V$ARCHIVED_LOG 
      WHERE FIRST_TIME >= in_start_time;

count      pls_integer := 0;
my_option  pls_integer := DBMS_LOGMNR.NEW;

BEGIN
  FOR c_log_rec IN c_log
  LOOP
    DBMS_LOGMNR.ADD_LOGFILE(LOGFILENAME => c_log_rec.name, 
                            OPTIONS => my_option);
    my_option := DBMS_LOGMNR.ADDFILE;
    DBMS_OUTPUT.PUT_LINE('Added logfile ' || c_log_rec.name);
  END LOOP;
END;
/

EXECUTE my_add_logfiles(in_start_time => '13-jan-2003 14:00:00');

Step 2   Query the V$LOGMNR_LOGS to see the list of redo log files.

This example includes the size of the redo log files in the output.

SELECT FILENAME name, LOW_TIME start_time, FILESIZE bytes 
    FROM V$LOGMNR_LOGS;

NAME                                START_TIME            BYTES
----------------------------------- --------------------  ----------------
/usr/orcl/arch1_310_482932022.dbf    13-jan-2003 14:02:35  23683584
/usr/orcl/arch1_311_482932022.dbf    13-jan-2003 14:56:35  2564096
/usr/orcl/arch1_312_482932022.dbf    13-jan-2003 15:10:43  23683584
/usr/orcl/arch1_313_482932022.dbf    13-jan-2003 15:17:52  23683584
/usr/orcl/arch1_314_482932022.dbf    13-jan-2003 15:23:10  23683584
/usr/orcl/arch1_315_482932022.dbf    13-jan-2003 15:43:22  23683584
/usr/orcl/arch1_316_482932022.dbf    13-jan-2003 16:03:10  23683584
/usr/orcl/arch1_317_482932022.dbf    13-jan-2003 16:33:43  23683584
/usr/orcl/arch1_318_482932022.dbf    13-jan-2003 17:23:10  23683584

Step 3   Adjust the list of redo log files.

Suppose you realize that you want to mine just the redo log files generated between 3 p.m. and 4 p.m.

You could use the query predicate (timestamp > '13-jan-2003 15:00:00' and timestamp < '13-jan-2003 16:00:00') to accomplish this. However, the query predicate is evaluated on each row returned by LogMiner, and the internal mining engine does not filter rows based on the query predicate. Thus, although you only wanted to get rows out of redo log files arch1_311_482932022.dbf to arch1_315_482932022.dbf, your query would result in mining all redo log files registered to the LogMiner session.

Furthermore, although you could use the query predicate and manually remove the redo log files that do not fall inside the time range of interest, the simplest solution is to specify the time range of interest in the DBMS_LOGMNR.START_LOGMNR procedure call.

Although this does not change the list of redo log files, LogMiner will mine only those redo log files that fall in the time range specified.

EXECUTE DBMS_LOGMNR.START_LOGMNR(-
   STARTTIME => '13-jan-2003 15:00:00', -
   ENDTIME   => '13-jan-2003 16:00:00', -
   OPTIONS   => DBMS_LOGMNR.DICT_FROM_ONLINE_CATALOG + -
                DBMS_LOGMNR.COMMITTED_DATA_ONLY + -
                DBMS_LOGMNR.PRINT_PRETTY_SQL);

Step 4   Query the V$LOGMNR_CONTENTS view.

SELECT TIMESTAMP, (XIDUSN || '.' || XIDSLT || '.' || XIDSQN) AS XID,

SQL_REDO FROM V$LOGMNR_CONTENTS WHERE SEG_OWNER = 'OE';

TIMESTAMP              XID          SQL_REDO
---------------------  -----------  --------------------------------
13-jan-2003 15:29:31   1.17.2376    update "OE"."PRODUCT_INFORMATION"
                                      set
                                        "WARRANTY_PERIOD" = TO_YMINTERVAL('+05-00')
                                      where
                                        "PRODUCT_ID" = 3399 and
                                        "WARRANTY_PERIOD" = TO_YMINTERVAL('+02-00') and
                                        ROWID = 'AAAHTKAABAAAY9TAAE';
13-jan-2003 15:29:34   1.17.2376      insert into "OE"."PRODUCT_TRACKING"
                                        values
                                        "PRODUCT_ID" = 3399,
                                        "MODIFIED_TIME" = TO_DATE('13-jan-2003 15:29:34', 
                                        'dd-mon-yyyy hh24:mi:ss'),
                                        "OLD_LIST_PRICE" = 815,
                                        "OLD_WARRANTY_PERIOD" = TO_YMINTERVAL('+02-00');

13-jan-2003 15:52:43   1.15.1756      update "OE"."PRODUCT_INFORMATION"
                                        set
                                          "WARRANTY_PERIOD" = TO_YMINTERVAL('+05-00')
                                        where
                                          "PRODUCT_ID" = 1768 and
                                          "WARRANTY_PERIOD" = TO_YMINTERVAL('+02-00') and
                                          ROWID = 'AAAHTKAABAAAY9UAAB';

13-jan-2003 15:52:43   1.15.1756      insert into "OE"."PRODUCT_TRACKING"
                                        values
                                        "PRODUCT_ID" = 1768,
                                        "MODIFIED_TIME" = TO_DATE('13-jan-2003 16:52:43', 
                                        'dd-mon-yyyy hh24:mi:ss'),
                                        "OLD_LIST_PRICE" = 715,
                                        "OLD_WARRANTY_PERIOD" = TO_YMINTERVAL('+02-00');

Step 5   End the LogMiner session.

EXECUTE DBMS_LOGMNR.END_LOGMNR();

Example 1: Mining Redo Log Files in a Given Time Range

This example is similar to Example 4: Using the LogMiner Dictionary in the Redo Log Files, except the list of redo log files are not specified explicitly. This example assumes that you want to use the data dictionary extracted to the redo log files.

Step 1   Determine the timestamp of the redo log file that contains the start of the data dictionary.

SELECT NAME, FIRST_TIME FROM V$ARCHIVED_LOG

WHERE SEQUENCE# = (SELECT MAX(SEQUENCE#) FROM V$ARCHIVED_LOG 
    WHERE DICTIONARY_BEGIN = 'YES');

NAME                                          FIRST_TIME
--------------------------------------------  --------------------
/usr/oracle/data/db1arch_1_207_482701534.dbf  10-jan-2003 12:01:34

Step 2   Display all the redo log files that have been generated so far.

This step is not required, but is included to demonstrate that the CONTINUOUS_MINE option works as expected, as will be shown in Step 4.

SELECT FILENAME name FROM V$LOGMNR_LOGS
   WHERE LOW_TIME > '10-jan-2003 12:01:34';

NAME
----------------------------------------------
/usr/oracle/data/db1arch_1_207_482701534.dbf
/usr/oracle/data/db1arch_1_208_482701534.dbf
/usr/oracle/data/db1arch_1_209_482701534.dbf
/usr/oracle/data/db1arch_1_210_482701534.dbf

Step 3   Start LogMiner.

Start LogMiner by specifying the dictionary to use and the COMMITTED_DATA_ONLY, PRINT_PRETTY_SQL, and CONTINUOUS_MINE options.

EXECUTE DBMS_LOGMNR.START_LOGMNR(-
   STARTTIME => '10-jan-2003 12:01:34', -
     ENDTIME => SYSDATE, -
     OPTIONS => DBMS_LOGMNR.DICT_FROM_REDO_LOGS + -
                DBMS_LOGMNR.COMMITTED_DATA_ONLY + -
                DBMS_LOGMNR.PRINT_PRETTY_SQL + -
                    DBMS_LOGMNR.CONTINUOUS_MINE);

Step 4   Query the V$LOGMNR_LOGS view.

This step shows that the DBMS_LOGMNR.START_LOGMNR procedure with the CONTINUOUS_MINE option includes all of the redo log files that have been generated so far, as expected. (Compare the output in this step to the output in Step 2.)

SELECT FILENAME name FROM V$LOGMNR_LOGS;

NAME
------------------------------------------------------
/usr/oracle/data/db1arch_1_207_482701534.dbf
/usr/oracle/data/db1arch_1_208_482701534.dbf
/usr/oracle/data/db1arch_1_209_482701534.dbf
/usr/oracle/data/db1arch_1_210_482701534.dbf

Step 5   Query the V$LOGMNR_CONTENTS view.

To reduce the number of rows returned by the query, exclude all DML statements done in the SYS or SYSTEM schema. (This query specifies a timestamp to exclude transactions that were involved in the dictionary extraction.)

Note that all reconstructed SQL statements returned by the query are correctly translated.

SELECT USERNAME AS usr,(XIDUSN || '.' || XIDSLT || '.' || XIDSQN) as XID, 
   SQL_REDO FROM V$LOGMNR_CONTENTS 
   WHERE SEG_OWNER IS NULL OR SEG_OWNER NOT IN ('SYS', 'SYSTEM') AND
   TIMESTAMP > '10-jan-2003 15:59:53';

USR             XID         SQL_REDO
-----------     --------    -----------------------------------
SYS             1.2.1594    set transaction read write;
SYS             1.2.1594    create table oe.product_tracking (product_id number not null,
                            modified_time date,
                            old_list_price number(8,2),
                            old_warranty_period interval year(2) to month);
SYS             1.2.1594    commit;

SYS             1.18.1602   set transaction read write;
SYS             1.18.1602   create or replace trigger oe.product_tracking_trigger
                            before update on oe.product_information
                            for each row
                            when (new.list_price <> old.list_price or
                                  new.warranty_period <> old.warranty_period)
                            declare
                            begin
                            insert into oe.product_tracking values 
                               (:old.product_id, sysdate,
                                :old.list_price, :old.warranty_period);
                            end;
SYS             1.18.1602   commit;

OE              1.9.1598    update "OE"."PRODUCT_INFORMATION"
                              set
                                "WARRANTY_PERIOD" = TO_YMINTERVAL('+08-00'),
                                "LIST_PRICE" = 100
                              where
                                "PRODUCT_ID" = 1729 and
                                "WARRANTY_PERIOD" = TO_YMINTERVAL('+05-00') and
                                "LIST_PRICE" = 80 and
                                ROWID = 'AAAHTKAABAAAY9yAAA';
OE              1.9.1598    insert into "OE"."PRODUCT_TRACKING"
                              values
                                "PRODUCT_ID" = 1729,
                                "MODIFIED_TIME" = TO_DATE('13-jan-2003 16:07:03', 
                                'dd-mon-yyyy hh24:mi:ss'),
                                "OLD_LIST_PRICE" = 80,
                                "OLD_WARRANTY_PERIOD" = TO_YMINTERVAL('+05-00');

OE              1.9.1598    update "OE"."PRODUCT_INFORMATION"
                              set
                                "WARRANTY_PERIOD" = TO_YMINTERVAL('+08-00'),
                                "LIST_PRICE" = 92
                              where
                                "PRODUCT_ID" = 2340 and
                                "WARRANTY_PERIOD" = TO_YMINTERVAL('+05-00') and
                                "LIST_PRICE" = 72 and
                                ROWID = 'AAAHTKAABAAAY9zAAA';

OE              1.9.1598    insert into "OE"."PRODUCT_TRACKING"
                              values
                                "PRODUCT_ID" = 2340,
                                "MODIFIED_TIME" = TO_DATE('13-jan-2003 16:07:07', 
                                'dd-mon-yyyy hh24:mi:ss'),
                                "OLD_LIST_PRICE" = 72,
                                "OLD_WARRANTY_PERIOD" = TO_YMINTERVAL('+05-00');

OE              1.9.1598     commit;

Step 6   End the LogMiner session.

EXECUTE DBMS_LOGMNR.END_LOGMNR();

Example 2: Mining the Redo Log Files in a Given SCN Range

This example shows how to specify an SCN range of interest and mine the redo log files that satisfy that range. You can use LogMiner to see all committed DML statements whose effects have not yet been made permanent in the datafiles.

Note that in this example (unlike the other examples) it is not assumed that you have set the NLS_DATE_FORMAT parameter.

Step 1   Determine the SCN of the last checkpoint taken.

SELECT CHECKPOINT_CHANGE#, CURRENT_SCN FROM V$DATABASE;

CHECKPOINT_CHANGE#  CURRENT_SCN
------------------  ---------------
          56453576         56454208

Step 2   Start LogMiner and specify the CONTINUOUS_MINE option.

EXECUTE DBMS_LOGMNR.START_LOGMNR(-

STARTSCN => 56453576, -
   ENDSCN   => 56454208, -
   OPTIONS  => DBMS_LOGMNR.DICT_FROM_ONLINE_CATALOG + -
               DBMS_LOGMNR.COMMITTED_DATA_ONLY + -
               DBMS_LOGMNR.PRINT_PRETTY_SQL + -
               DBMS_LOGMNR.CONTINUOUS_MINE);

Step 3   Display the list of archived redo log files added by LogMiner.

SELECT FILENAME name, LOW_SCN, NEXT_SCN FROM V$LOGMNR_LOGS;

NAME                                           LOW_SCN   NEXT_SCN
--------------------------------------------   --------  --------
/usr/oracle/data/db1arch_1_215_482701534.dbf   56316771  56453579

Note that the redo log file that LogMiner added does not contain the whole SCN range. When you specify the CONTINUOUS_MINE option, LogMiner adds only archived redo log files when you call the DBMS_LOGMNR.START_LOGMNR procedure. LogMiner will add the rest of the SCN range contained in the online redo log files automatically, as needed during the query execution. Use the following query to determine whether the redo log file added is the latest archived redo log file produced.

SELECT NAME FROM V$ARCHIVED_LOG 
   WHERE SEQUENCE# = (SELECT MAX(SEQUENCE#) FROM V$ARCHIVED_LOG);

NAME
-------------------------------------------- 
/usr/oracle/data/db1arch_1_215_482701534.dbf 

Step 4   Query the V$LOGMNR_CONTENTS view for changes made to the user tables.

The following query does not return the SET TRANSACTION READ WRITE and COMMIT statements associated with transaction 1.6.1911 because these statements do not have a segment owner (SEG_OWNER) associated with them.

Note that the default NLS_DATE_FORMAT, 'DD-MON-RR', is used to display the column MODIFIED_TIME of type DATE.

SELECT SCN, (XIDUSN || '.' || XIDSLT || '.' ||  XIDSQN) as XID, SQL_REDO 
    FROM V$LOGMNR_CONTENTS
    WHERE SEG_OWNER NOT IN ('SYS', 'SYSTEM');


SCN        XID        SQL_REDO
---------- ---------- -------------
56454198   1.6.1911   update "OE"."PRODUCT_INFORMATION"
                        set
                          "WARRANTY_PERIOD" = TO_YMINTERVAL('+05-00')
                        where
                          "PRODUCT_ID" = 2430 and
                          "WARRANTY_PERIOD" = TO_YMINTERVAL('+02-00') and
                          ROWID = 'AAAHTKAABAAAY9AAAC';

56454199   1.6.1911   insert into "OE"."PRODUCT_TRACKING"
                        values
                          "PRODUCT_ID" = 2430,
                          "MODIFIED_TIME" = TO_DATE('17-JAN-03', 'DD-MON-RR'),
                          "OLD_LIST_PRICE" = 175,
                          "OLD_WARRANTY_PERIOD" = TO_YMINTERVAL('+02-00');

56454204   1.6.1911    update "OE"."PRODUCT_INFORMATION"
                         set
                           "WARRANTY_PERIOD" = TO_YMINTERVAL('+05-00')
                         where
                           "PRODUCT_ID" = 2302 and
                           "WARRANTY_PERIOD" = TO_YMINTERVAL('+02-00') and
                           ROWID = 'AAAHTKAABAAAY9QAAA';
56454206   1.6.1911    insert into "OE"."PRODUCT_TRACKING"
                         values
                           "PRODUCT_ID" = 2302,
                           "MODIFIED_TIME" = TO_DATE('17-JAN-03', 'DD-MON-RR'),
                           "OLD_LIST_PRICE" = 150,
                           "OLD_WARRANTY_PERIOD" = TO_YMINTERVAL('+02-00');

Step 5   End the LogMiner session.

EXECUTE DBMS_LOGMNR.END_LOGMNR();

Example 3: Using Continuous Mining to Include Future Values in a Query

To specify that a query not finish until some future time occurs or SCN is reached, use the CONTINUOUS_MINE option and set either the ENDTIME or ENDSCAN option in your call to the DBMS_LOGMNR.START_LOGMNR procedure to a time in the future or to an SCN value that has not yet been reached.

This examples assumes that you want to monitor all changes made to the table hr.employees from now until 5 hours from now, and that you are using the dictionary in the online catalog.

Step 1   Start LogMiner.

EXECUTE DBMS_LOGMNR.START_LOGMNR(-

STARTTIME => SYSDATE, -
   ENDTIME   => SYSDATE + 5/24, -
   OPTIONS   => DBMS_LOGMNR.CONTINUOUS_MINE  + -
                DBMS_LOGMNR.DICT_FROM_ONLINE_CATALOG);

Step 2   Query the V$LOGMNR_CONTENTS view.

This select operation will not complete until it encounters the first redo log file record that is generated after the time range of interest (5 hours from now). You can end the select operation prematurely by entering Ctrl+C.

This example specifies the SET ARRAYSIZE statement so that rows are displayed as they are entered in the redo log file. If you do not specify the SET ARRAYSIZE statement, rows are not returned until the SQL internal buffer is full.

SET ARRAYSIZE 1;
SELECT USERNAME AS usr, SQL_REDO FROM V$LOGMNR_CONTENTS
   WHERE  SEG_OWNER = 'HR' AND TABLE_NAME = 'EMPLOYEES';

Step 3   End the LogMiner session.

EXECUTE DBMS_LOGMNR.END_LOGMNR();

Scenario 1: Using LogMiner to Track Changes Made by a Specific User

This example shows how to see all changes made to the database in a specific time range by a single user: joedevo. Connect to the database and then take the following steps:

1. Create the LogMiner dictionary file.

   To use LogMiner to analyze joedevo's data, you must either create a LogMiner dictionary file before any table definition changes are made to tables that joedevo uses or use the online catalog at LogMiner startup. See Extract a LogMiner Dictionary for examples of creating LogMiner dictionaries. This example uses a LogMiner dictionary that has been extracted to the redo log files.

2. Add redo log files.

   Assume that joedevo has made some changes to the database. You can now specify the names of the redo log files that you want to analyze, as follows:

   EXECUTE DBMS_LOGMNR.ADD_LOGFILE( -
      LOGFILENAME => 'log1orc1.ora', -
      OPTIONS => DBMS_LOGMNR.NEW);
   

   If desired, add additional redo log files, as follows:

   EXECUTE DBMS_LOGMNR.ADD_LOGFILE( -
      LOGFILENAME => 'log2orc1.ora', -
      OPTIONS => DBMS_LOGMNR.ADDFILE);
   

3. Start LogMiner and limit the search to the specified time range:

   EXECUTE DBMS_LOGMNR.START_LOGMNR( -
      DICTFILENAME => 'orcldict.ora', -
      STARTTIME => TO_DATE('01-Jan-1998 08:30:00','DD-MON-YYYY HH:MI:SS'), -
      ENDTIME => TO_DATE('01-Jan-1998 08:45:00', 'DD-MON-YYYY HH:MI:SS'));
   

4. Query the V$LOGMNR_CONTENTS view.

   At this point, the V$LOGMNR_CONTENTS view is available for queries. You decide to find all of the changes made by user joedevo to the salary table. Execute the following SELECT statement:

   SELECT SQL_REDO, SQL_UNDO FROM V$LOGMNR_CONTENTS 
      WHERE USERNAME = 'joedevo' AND SEG_NAME = 'salary';
   

   For both the SQL_REDO and SQL_UNDO columns, two rows are returned (the format of the data display will be different on your screen). You discover that joedevo requested two operations: he deleted his old salary and then inserted a new, higher salary. You now have the data necessary to undo this operation.

   SQL_REDO                              SQL_UNDO
   --------                              --------
   delete from SALARY                    insert into SALARY(NAME, EMPNO, SAL)
   where EMPNO = 12345                    values ('JOEDEVO', 12345, 500)
   and NAME='JOEDEVO'
   and SAL=500;
   
   insert into SALARY(NAME, EMPNO, SAL)  delete from SALARY
   values('JOEDEVO',12345, 2500)         where EMPNO = 12345
                                         and NAME = 'JOEDEVO'
   2 rows selected                       and SAL = 2500;
   

5. End the LogMiner session.

   Use the DBMS_LOGMNR.END_LOGMNR procedure to finish the LogMiner session properly:

   DBMS_LOGMNR.END_LOGMNR( );
   

Scenario 2: Using LogMiner to Calculate Table Access Statistics

In this example, assume you manage a direct marketing database and want to determine how productive the customer contacts have been in generating revenue for a 2-week period in January. Assume that you have already created the LogMiner dictionary and added the redo log files that you want to search (as demonstrated in the previous example). Take the following steps:

1. Start LogMiner and specify a range of times:

   EXECUTE DBMS_LOGMNR.START_LOGMNR( -
      STARTTIME => TO_DATE('07-Jan-2003 08:30:00','DD-MON-YYYY HH:MI:SS'), -
      ENDTIME => TO_DATE('21-Jan-2003 08:45:00','DD-MON-YYYY HH:MI:SS'), -
      DICTFILENAME => '/usr/local/dict.ora');
   

2. Query the V$LOGMNR_CONTENTS view to determine which tables were modified in the time range you specified, as shown in the following example. (This query filters out system tables that traditionally have a $ in their name.)

   SELECT SEG_OWNER, SEG_NAME, COUNT(*) AS Hits FROM
      V$LOGMNR_CONTENTS WHERE SEG_NAME NOT LIKE '%$' GROUP BY
      SEG_OWNER, SEG_NAME ORDER BY Hits DESC;
   

3. The following data is displayed. (The format of your display may be different.)

   SEG_OWNER          SEG_NAME          Hits
   ---------          --------          ----
   CUST               ACCOUNT            384
   UNIV               EXECDONOR          325
   UNIV               DONOR              234
   UNIV               MEGADONOR           32
   HR                 EMPLOYEES           12
   SYS                DONOR               12
   

   The values in the Hits column show the number of times that the named table had an insert, delete, or update operation performed on it during the 2-week period specified in the query. In this example, the cust.account table was modified the most during the specified 2-week period, and the hr.employees and sys.donor tables were modified the least during the same time period.

4. End the LogMiner session.

   Use the DBMS_LOGMNR.END_LOGMNR procedure to finish the LogMiner session properly:

   DBMS_LOGMNR.END_LOGMNR( );