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To test that theory, we ll rebuild the IOT with COMPRESS 1 first: ops$tkyte@ORA10GR1> alter table iot move compress 1; Table altered. ops$tkyte@ORA10GR1> analyze index iot_pk validate structure; Index analyzed. ops$tkyte@ORA10GR1> select lf_blks, br_blks, used_space, 2 opt_cmpr_count, opt_cmpr_pctsave 3 from index_stats; LF_BLKS BR_BLKS USED_SPACE OPT_CMPR_COUNT OPT_CMPR_PCTSAVE ---------- ---------- ---------- -------------- ---------------247 1 1772767 2 23 As you can see, the index is in fact smaller: about 1.7MB, with fewer leaf blocks and many fewer branch blocks. But now it is saying, You still can get another 23 percent off, as we didn t chop off that much yet. Let s rebuild with COMPRESS 2: ops$tkyte@ORA10GR1> alter table iot move compress 2; Table altered. ops$tkyte@ORA10GR1> analyze index iot_pk validate structure; Index analyzed. ops$tkyte@ORA10GR1> select lf_blks, br_blks, used_space, 2 opt_cmpr_count, opt_cmpr_pctsave 3 from index_stats; LF_BLKS BR_BLKS USED_SPACE OPT_CMPR_COUNT OPT_CMPR_PCTSAVE ---------- ---------- ---------- -------------- ---------------190 1 1359357 2 0 Now we are significantly reduced in size, both by the number of leaf blocks as well as overall used space, about 1.3MB. If we go back to the original numbers, ops$tkyte@ORA10GR1> select (2/3) * 2037497 from dual; (2/3)*2037497 ------------1358331.33 then we can see the OPT_CMPR_PCTSAVE was dead-on accurate. The preceding example points out an interesting fact with IOTs. They are tables, but only in name. Their segment is truly an index segment.

Oracle recommends that if any of the tables that are part of the Flashback Transaction Query operation contained chained rows, or if you re using clustered tables, you must turn on supplemental logging in your database before using the Flashback Transaction Query. You can turn supplemental logging on at the database level, using the following SQL statement: SQL> ALTER DATABASE ADD SUPPLEMENTAL LOG DATA; The following query will display all transactions, both committed and active, in all the undo segments: SQL> SELECT operation, undo_sql, table_name FROM flashback_transaction_query; The query in Listing 8-3 shows how to determine the operation that will undo a transaction and the specific SQL statement that will undo it. Listing 8-3. Identifying SQL Statements to Undo Data Changes SQL> 2 3 4 5 SELECT operation, undo_sql, table_name FROM flashback_transaction_query WHERE start_timestamp >= TO_TIMESTAMP ('2009-02-15 05:00:00', 'YYYY-MM-DD HH:MI:SS') AND commit_timestamp <= TO_TIMESTAMP('2009-02-15 06:30:00', 'YYYY-MM-DD HH:MI:SS') 6* AND table_owner='PASOWNER'; UNDO_SQL -------------------------------------delete from "APPOWNER"."FR_DETAILS" where ROWID = 'AAQXXZAC8AAAB+zAAb'; delete from "APPOWNER"."FR_DETAILS" where ROWID = 'AAQXXZAC8AAAB +zAAa'; TABLE_NAME --------------FR_DETAILS FR_DETAILS

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They are most useful as a means of getting data into the database (they are a very powerful data-loading tool) Furthermore, in Oracle 10g, which introduces an external table unload capability, they provide an easy way to move data between Oracle databases without using database links We will look at external tables in some detail in 15 Data Loading and Unloading..

The OPERATION column in Listing 8-3 indicates that two inserts were made during the time period specified in the query. The UNDO_SQL column shows the exact SQL statement you must run to undo the changes this is information the query fetched for you from the undo segments. In this simple example, there are only two delete statements that you ll have to execute if you wish to undo the inserts displayed by your query. However, transactions usually contain several DML statements, in which case you ll have to apply the undo changes in the sequence that the query returns them to correctly recover the data to its original state.

I am going to defer discussion of the PCTTHRESHOLD option at this point, as it is related to the next two options for IOTs: OVERFLOW and INCLUDING. If we look at the full SQL for the next two sets of tables, T2 and T3, we see the following (I ve used a DBMS_METADATA routine to suppress the storage clauses, as they are not relevant to the example): ops$tkyte@ORA10GR1> begin 2 dbms_metadata.set_transform_param 3 ( DBMS_METADATA.SESSION_TRANSFORM, 'STORAGE', false ); 4 end; / ops$tkyte@ORA10GR1> select dbms_metadata.get_ddl( 'TABLE', 'T2' ) from dual; DBMS_METADATA.GET_DDL('TABLE','T2') -------------------------------------------------------------------------------CREATE TABLE "OPS$TKYTE"."T2" ( "X" NUMBER(*,0), "Y" VARCHAR2(25), "Z" DATE, PRIMARY KEY ("X") ENABLE ) ORGANIZATION INDEX NOCOMPRESS PCTFREE 10 INITRANS 2 MAXTRANS 255 LOGGING TABLESPACE "USERS" PCTTHRESHOLD 50 OVERFLOW PCTFREE 10 PCTUSED 40 INITRANS 1 MAXTRANS 255 LOGGING TABLESPACE "USERS" ops$tkyte@ORA10GR1> select dbms_metadata.get_ddl( 'TABLE', 'T3' ) from dual; DBMS_METADATA.GET_DDL('TABLE','T3') -------------------------------------------------------------------------------CREATE TABLE "OPS$TKYTE"."T3" ( "X" NUMBER(*,0), "Y" VARCHAR2(25), "Z" DATE, PRIMARY KEY ("X") ENABLE ) ORGANIZATION INDEX NOCOMPRESS PCTFREE 10 INITRANS 2 MAXTRANS 255 LOGGING TABLESPACE "USERS" PCTTHRESHOLD 50 INCLUDING "Y" OVERFLOW PCTFREE 10 PCTUSED 40 INITRANS 1 MAXTRANS 255 LOGGING TABLESPACE "USERS" So, now we have PCTTHRESHOLD, OVERFLOW, and INCLUDING left to discuss. These three items are intertwined, and their goal is to make the index leaf blocks (the blocks that hold the actual index data) able to efficiently store data. An index typically is on a subset of columns. You will generally find many more times the number of row entries on an index block than you would on a heap table block. An index counts on being able to get many rows per block. Oracle would spend large amounts of time maintaining an index otherwise, as each INSERT or UPDATE would probably cause an index block to split in order to accommodate the new data.

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