The following articles mainly focus on testing the actual way Oracle data is obtained. First, we will describe the actual operations of Oracle Data Acquisition by establishing a typical experimental environment, the following describes the specific content of the article. I hope you will gain some benefits after browsing it.
First, set up the lab environment
- create table test as select * from dba_objects where 0=1;
- create index ind_test_id on test(object_id);
- insert into test select * from dba_objects
- where object_id is not null and object_id>10000 order by object_id desc;
- analyze table test compute statistics for table for all columns for all indexes;
- Table Access Full
- SQL> set autotrace trace;
- SQL> select object_id from test;
- set autotrace trace;
- select object_id from test;
- | Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time |
- 1 | TABLE ACCESS FULL| TEST | 58650 | 229K | 239 (1)| 00:00:03 |
Note that this is because the object_id column can be null by default. If it is modified to not null, what is the Oracle Data Acquisition method?
- Index Fast Full Scan
- alter table test modify(object_id not null);
- select object_id from test;
- | Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time |
- 1 | INDEX FAST FULL SCAN| IND_TEST_ID | 58650 | 229K| 66 (0)| 00:00:01 |
- Index Full Scan
- select/*+ index(test ind_TEST_ID)*/ object_id from test;
- | Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time |
- 1 | INDEX FULL SCAN| IND_TEST_ID | 58650 | 229K| 240 (1)| 00:00:03 |
- Index Range Scan
- select/*+ index(test ind_TEST_ID)*/ object_id from test where object_id < 68926;
- | Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time |
- 1 | INDEX RANGE SCAN| IND_TEST_ID | 57903 | 226K| 237 (1)| 00:00:03
- SQL> select object_id from test where rownum<11; INDEX FAST FULL SCAN
- OBJECT_ID
- 68917
- 68918
- 68919
- 68920
- 68921
- 68922
- 68923
- 68924
- 68925
- 68926
10 rows have been selected.
- SQL> select/*+ index(test ind_TEST_ID)*/ object_id from test where rownum<11; INDEX FULL SCAN
- OBJECT_ID
- 10001
- 10002
- 10003
- 10004
- 10005
- 10006
- 10007
- 10008
- 10009
- 10010
10 rows have been selected.
- select * from test where rownum < 2;
- ....... 69554 .......
Others focus only on the OBJECT_ID column. The above content is an introduction to @. I hope you will get some benefits.