Oracle index null. When a single column index is created in an empty value column, if the search condition is isnull, it can be seen in the interpretation plan that oracle does not use this column.
Oracle index null. When a single column index is created in an empty value column, if the search condition is null, it can be seen in the interpretation plan that oracle does not use this column.
1. Oracle index null
When a single column index is created on an empty value column, if the search condition is null, it can be seen in the interpretation plan that oracle does not use index query for this column;
However, when multiple columns of indexes are created, the indexes are used for queries.
2. B-tree indexes
:
In the B-tree index, the index is performed from top to bottom. If the column selection is not low, index scanning will be slow. The reason is that we need to traverse many leaves and fetch different row numbers.
As incoming and outgoing data increases, the rightmost leaf blocks keep increasing, which may lead to busy waiting in the buffer zone. The rapid growth of the rightmost index of this type is called the growth index on the right. Some solutions will be discussed later.
3. Bitmap Index
Bitmap indexes are not suitable for tables that require a large number of DML operations (DML refers to SQL statements other than select ). It is suitable for Data Warehouse tables that perform read-only operations on a few unique columns for most data.
The bitmap index must be noted. To update a column with a bitmap index, you must update the bitmap index.
4. Partition Index
4.1. Partial Index
LOCAL indexes are created using the LOCAL keyword.
Create index index_name on table_name (column_name) local;
When the partition index is used, the content of the matched partition is directly searched, instead of each partition.
4.2 global index
GLOBAL index is created using GLOBAL
4.3 hash partitions
Return to the growth index on the right mentioned in the B-number index, You can partition by hash partitioning.
Different from range partitioning, hash partitioning distributes all data evenly in different partitions. The specific method is as follows:
-- Range Partition
Create table table2
Partition by range (year)
(Partition p_2012 values less than (2013 ),
Partition p_2013 values less than (2014 ),
Partition p_2014 values less than (2015 ),
Partition p_max values less than (maxvalue)
)
As
Select * from table1;
-- Hash Partition
Drop sequence sf;
Create sequence sf cache 200;
Drop table table3;
Create table table3
Partition by hash (sid)
Partitions 32
As
Select sf. nextval sid, t. * from table1 t;
-- The following code can be found:
Select dbms_rowid.rowid_object (rowid) obj_id, count (*) from table3
Group by dbms_rowid.rowid_object (rowid );
OBJ_ID COUNT (*)
--------------------
86232 4717
86236 4571
86240 4696
86257 4633
86234 4547
86235 4580
86241 4717
86249 4589
86250 4612
86251 4623
86261 4742
86238 4578
......
Create unique index index_table3_sid on table3 (sid) local;
Select * from table3_sid where sid = 10000;
-- View the explain Plan.
5. Compress Indexes
The compressed index is a variant of the B-tree index. It is more suitable for columns with duplicate values in the Guide column.
Create index index_name on table_name (column1, column2, column3) compress N;
N indicates the first few items to be compressed. For example, N = 2 is to compress the column1 and column2 indexes.
The compressed index applies to indexes with a small number of unique values in the bootstrap column.
6. function-based indexes
Create index index_name on table_name (function_name (column1 ));
In select, you must add function_name (column1) to use the index. If you only use column1, you can still scan the entire table.
7. Reverse Key Index
It is also a method to solve the Index Growth Problem on the right side, but the range operator is not available because the index is reversed.
Create index index_name on table_name (column_name) global reverse;
Not commonly used, because it may cause some negative effects.
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