We will be discussing Oracle indexes/types of indexes in oracle with example in this post. I will through light on all the option on how to create index in oracle.I would also be discussing how to check index size in oracle. I hope you will like this post. I will be looking forward for feedback on this post
What are Oracle Indexes?
- Just like we have index present in the textbooks to help us find the particular topic in the book, Oracle index behaves the same way.we have different types of indexes in oracle.
- Indexes are used to search the rows in the oracle table quickly. If the index is not present the select query has to read the whole table and returns the rows. With Index, the rows can be retrieved quickly
- We should create Indexes when retrieving a small number of rows from a table. or to retrieve the first set of rows as fast as possible from some query that will ultimately return a large number of rows. It also depends on the data distribution i.e clustering factor
- Indexes are logically and physically independent of the data in the associate table.
- Indexes are optional structures associated with tables and clusters. You can create indexes on one or more columns of a table to speed SQL statement execution on that table.
- Indexes are the primary means of reducing disk I/O when properly used.
- The query decides at the beginning whether to use index or no
- The best thing with indexes is that retrieval performance of indexed data remains almost constant, even as new rows are inserted. However, the presence of many indexes on a table decreases the performance of updates, deletes, and inserts because Oracle must also update the indexes associated with the table.
- If you are owner of table, you can create index or if you want to create index for table in another schema then you should either have CREATE ANY INDEX system privilege or index privilege on that table
Logical Type of Indexes
It defines the application characteristics of the Index
|Unique or Non Unique||Index can be Unique or non Unique. Oracle create unique index for Primary key and unique key constraints|
If non-unique indexes are already present on that column , it will not create new unique index for Primary key in Oracle
|Composite||The index can be comprised of single of multiple columns. Composite indexes can speed retrieval of data for SELECT statement in which the WHERE clause references all or the leading portion of the columns in the composite index.|
|Function Based indexes||The indexed column’s data is based on a calculation|
|Application Domain Indexes||This index used in special applications (Spatial, Text).
What is ROWID Pseudo column
ROWID returns the address of each row in the table. Oracle assigns a ROWID to each row.ROWID consists of following
- The data object number of the object
- The data block in the datafile in which the row resides
- The position of the row in the data block (first row is 0)
- The datafile in which the row resides (first file is 1). The file number is relative to the tablespace.
Oracle uses ROWID internally to access rows. For instance, Oracle stores ROWID in index and uses it to access the row in the table.
You can display ROWID of rows using SELECT command as follows:
select rowid, emp_name from emp;
Oracle provides a package called DBMS_ROWID to decode ROWID.
Once a row is assigned a ROWID Oracle does not change ROWID during the lifetime of the row. But it changes when the table is rebuild, When rows are moved across the partition or shrinking of the table
Types of indexes in oracle with example
There are 6 different types of indexes in oracle
(2) Compressed B-Tree
(5) Reverse Key (RKI)
(6) Index organized table (IOT).
Lets find out each of them in detail and how to create index in oracle for each of these types
B – Tree Index:
- B-Tree Indexes (balanced tree) are the most common type of index.
- B-Tree index stored the ROWID and the index key value in a tree structure.
- When creating an index, a ROOT block is created, then BRANCH blocks are created and finally LEAF blocks.
- Each branch holds the range of data its leaf blocks hold, and each root holds the range of data its branches hold:
- B-Tree indexes are most useful on columns that appear in the where clause (SELECT … WHERE EMPNO=1).
- The Oracle server, keeps the tree balanced by splitting index blocks, when new data is inserted to the table.
- Whenever a DML statement is performed on the index’s table, index activity occurs, making the index to grow (add leaf and branches).
- All leaf blocks of the tree are at the same depth.
- B-tree indexes automatically stay balanced.
- All blocks of the B-tree are three-quarters full on the average.
- B-trees provide excellent retrieval performance for a wide range of queries, including exact match and range searches.
- Inserts, updates, and deletes are efficient, maintaining key order for fast retrieval.
- B-tree performance is good for both small and large tables, and does not degrade as the size of a table grows.
CREATE <UNIQUE|NON UNIQUE> INDEX <index_name> ON <table_name> (<column_name>,<column_name>…) TABLESPACE <tablespace_name>; Example Create index scott.exp_idx on table scott.example( name) Tablespace TOOLS;
What is compressed B-tree Indexes
- Compressed B-Tree Indexes are built on large tables, in a data warehouse environment. In this type of index, duplicate occurrences of the same value are eliminated, thus reducing the amount of storage space, the index requires.
- In a compressed B-Tree index, for each key value, a list of ROWIDs are kept
- Specifying the COMPRESS keyword when creating an index (CREATE INDEX … COMPRESS) will create a compressed B-Tree index.
- A regular B-Tree index can be rebuilt using the COMPRESS keyword to compress it.
CREATE <UNIQUE|NON UNIQUE> INDEX <index_name> ON <table_name> (<column_name>,<column_name>…) PCTFREE <integer> TABLESPACE <tablespace_name> Compress <column number>
What is Bitmap Indexes
- Bitmap Indexes are most appropriate on low distinct cardinality data (as opposed to B-Tree indexes).
- This type of index, creates a binary map of all index values, and store that map in the index blocks, this means that the index will require less space than B-Tree index.
- Each bit in the bitmap corresponds to a possible rowid. If the bit is set, then it means that the row with the corresponding rowid contains the key value. A mapping function converts the bit position to an actual rowid, so the bitmap index provides the same functionality as a regular index even though it uses a different representation internally. If the number of different key values is small, then bitmap indexes are very space efficient
- When there are bitmap indexes on tables then updates will take out full table locks.So, Bitmap index is useful on large columns with low-DML(infrequent updates) activity or read only tables. This is reason you often find bitmap indexes are extensively used in the data warehouse environment(DWH).
- Bitmap Index structure contain a map of bits which indicate the value in the column, for example, for the GENDER column, the index block will hold the starting ROWID, the ending ROWID and the bit map:
- Bitmap indexes are very useful when created on columns with low cardinality, used with the AND & OR operator in the query condition:
CREATE BITMAP INDEX <index_name> ON <table_name> (<column_name>,<column_name>…) PCTFREE <integer> TABLESPACE <tablespace_name>
CREATE BITMAP INDEX ON emp_data(gender); SELECT COUNT(*) FROM emp_data WHERE GENDER=’M”;
Advantages Of Bitmap Indexes
- Reduced response time for large classes of queries
- A substantial reduction of space usage compared to other indexing techniques
- Dramatic performance gains even on very low end hardware
- Very efficient parallel DML and loads
Function Based Indexes
Function-Based Indexes are indexes created on columns that a function is usually applied on.
When using a function on an indexed column, the index is ignored, therefore a function-based index is very useful for these operations.
CREATE INDEX <index_name> ON <table_name> [ Function(<column_name>,<column_name.)] TABLESPACE <tablespace_name>; Example CREATE INDEX EMP_IDX on EMP(UPPER(ENAME)); SELECT * FROM Emp WHERE UPPER(Ename) like ‘JOHN`;
What is Reverse-Key Indexes
- They are special types of B-Tree indexes and are very useful when created on columns contain sequential numbers.
- When using a regular B-Tree, the index will grow to have many branches and perhaps several levels, thus causing performance degradation, the RKI solve the problem by reversing the bytes of each column key and indexing the new data.
- This method distributes the data evenly in the index. Creating a RKI is done using the REVERSE keyword: CREATE INDEX … ON … REVERSE;
CREATE INDEX <index_name> ON <table_name> (<column_name>) TABLESPACE <tablespace_name> REVERSE; Example CREATE INDEX emp_idx i ON emp_table (firstname,lastname) REVERSE;
What is Index Organized Tables (IOT) –
- When we are using B-Tree, Bitmap and Reverse key indexes are used for tables that store data in an un-ordered fashion (Heap Tables).
- These indexes contain the location of the ROWID of required table row, thus allowing direct access to row data
- An index-organized table differs from an ordinary table because the data for the table is held in its associated index. Changes to the table data, such as adding new rows, updating rows, or deleting rows, result in updating the index.
- The index-organized table is like an ordinary table with an index on one or more of its columns, but instead of maintaining two separate storage for the table and the B-tree index, the database system maintains only a single B-tree index which contains both the encoded key value and the associated column values for the corresponding row. Rather than having a row’s rowid as the second element of the index entry, the actual data row is stored in the B-tree index. The data rows are built on the primary key for the table, and each B-tree index entry contains <primary_key_value, non_primary_key_column_values>. Index-organized tables are suitable for accessing data by the primary key or any key that is a valid prefix of the primary key.
- There is no duplication of key values because only non-key column values are stored with the key. You can build secondary indexes to provide efficient access by other columns. Applications manipulate the index-organized table just like an ordinary table, using SQL statements. However, the database system performs all operations by manipulating the corresponding B-tree index.
Features of Index organized table
- Primary key uniquely identifies a row; primary key must be specified
- Primary key based access
- Logical rowid in ROWID pseudocolumn allows building secondary indexes
- UNIQUE constraint not allowed but triggers are allowed
- Cannot be stored in a cluster
- Can contain LOB columns but not LONG columns
- Distribution and replication not supported
CREATE TABLE command: CREATE TABLE … ORGANIZATION INDEX TABLESPACE … (specify this is an IOT) PCTTHRESHOLD … (specify % of block to hold in order to store row data, valid 0-50 (default 50)) INCLUDING … (specify which column to break a row when row length exceeds PCTTHRESHOLD) OVERFLOW TABLESPACE … (specify the tablespace where the second part of the row will be stored) MAPPING TABLE; (cause creation of a mapping table, needed when creating Bitmap index on IOT)
The Mapping Table maps the index’s physical ROWIDs to logical ROWIDs in the IOT. IOT use logical ROWIDs to manage table access by index because physical ROWIDs are changed whenever data is added to or removed from the table. In order to distinct the IOT from other indexes, query the USER_INDEXES view using the pct_direct_access column. Only IOT will have a non-NULL value for this column.
Application Domain Indexes
Oracle provides extensible indexing to accommodate indexes on complex data types such as documents, spatial data, images, and video clips and to make use of specialized indexing techniques.
With extensible indexing, you can encapsulate application-specific index management routines as an indextype schema object and define a domain index (an application-specific index) on table columns or attributes of an object type. Extensible indexing also provides efficient processing of application-specific operators.
The application software, called the cartridge, controls the structure and content of a domain index. The Oracle server interacts with the application to build, maintain, and search the domain index. The index structure itself can be stored in the Oracle database as an index-organized table or externally as a file.
Using Domain Indexes
Domain indexes are built using the indexing logic supplied by a user-defined indextype. An indextype provides an efficient mechanism to access data that satisfy certain operator predicates. Typically, the user-defined indextype is part of an Oracle option, like the Spatial option.
For example, the SpatialIndextype allows efficient search and retrieval of spatial data that overlap a given bounding box.
The cartridge determines the parameters you can specify in creating and maintaining the domain index. Similarly, the performance and storage characteristics of the domain index are presented in the specific cartridge documentation.
So far we have covered different types of indexes in oracle with example,lets now check how to alter/drop/recreate them
How to recreate the Indexes/rebuild index in oracle
We can Use the ALTER INDEX … REBUILD statement to reorganize or compact an existing index or to change its storage characteristics
The REBUILD statement uses the existing index as the basis for the new one.
ALTER INDEX … REBUILD is usually faster than dropping and re-creating an index.
It reads all the index blocks using multi block I/O then discards the branch blocks.
A further advantage of this approach is that the old index is still available for queries while the rebuild is in progress.
Alter index <index name> rebuild ; Alter index <index name> rebuild tablespace <name>;
How to Write Statements that Avoid Using Indexes
- You can use the NO_INDEX optimizer hint to give the CBO maximum flexibility while disallowing the use of a certain index.
- You can use the FULL hint to force the optimizer to choose a full table scan instead of an index scan.
- You can use the INDEX, INDEX_COMBINE, or AND_EQUAL hints to force the optimizer to use one index or a set of listed indexes instead of another.
How to gather statistics for Indexes
Index statistics are gathered using the ANALYZE INDEX or dbms_stats statement.
Available options are COMPUTE/ESTIMATE STATISTICS or VALIDATE STRUCTURE.
With 10g onwards, when the index is created, compute statistics is done automatically
When using the validate structure, Oracle populates the INDEX_STATS view with statistics related to analyzed index. The statistics contain number of leaf rows & blocks (LF_ROWS, LF_BLKS), number branch rows & blocks (BR_ROWS, BR_BLKS), number of deleted leaf rows (DEL_LF_ROWS), used space (USED_SPACE), number of distinct keys (DISTINCT_KEYS) etc. These statistics can be used to determine if the index should be rebuild or not
How does Oracle decide about the usage of index?
Oracle automatically decides about whether index should be used by Optimizer engine.
Oracle decides whether to use an index or not depending upon the query.
Oracle can understand whether using an index will improve the performance in the given query. If Oracle thinks using an index will improve performance, it will use the index otherwise it will ignore the index.
Let us understand by this example
We have a table emp which contains emp_name, salary,dept_no ,emp_no,date_of_joining and we have an index on emp_name
select * from emp where emp_name = 'John';
The above query will use the index as we are trying to get information about a emp based on the name.
select * from emp;
The above query will not use index as we are trying to find all the rows in the table and we don’t have where clause in the query
select * from emp where dept_no =5;
The above query will not use index as the where clause does not select the column which has index
select * from emp where substr(emp_name,1,4) =’XYZW’;
The above query will not use index as the where clause uses the function on the column and we don’t have functional index on emp_name
How to create or rebuild the index Online?
Oracle used to lock the table on which index is being created throughout creation process in older versions. This makes table unavailable for data manipulation during the creation of index.
Now with 8i , Oracle introduced online rebuilding of index where Oracle doesn’t lock the table on which index is being built.
Online indexing is provided through the keyword ONLINE.
CREATE <UNIQUE|NON UNIQUE> INDEX <index_name> ON <table_name> (<column_name>,<column_name>…) PCTFREE <integer> TABLESPACE <tablespace_name> Online; Alter index <index name> rebuild online;
Basically with online rebuild,Oracle locks the table at the start and end of the creation of the index. It allows transaction in between. The mechanism has been quite improved with 11g and 12c
What are the Drawbacks of the Indexes
Indexes increase performance of select query, they can also decrease performance of data manipulation.
Many indexes on a table can slow down INSERTS and DELETES drastically
The more the indexes on the table, the more time inserts and delete will take.
Similarly every change to an indexed column will need a change to index.
So we need to choose the index very carefully and drop which are not in use.
Though the extra space occupied by indexes is also a consideration, it may not matter much since the cost of data storage has declined substantially.
What is Unusable indexes
There could be several for index in unusable state. You did the rebuild of the table but did not rebuild the index, then index will be unusable state. One other reason to make an index unusable is to improve bulk load performance. Another reason might be optimizer picking up the wrong index every time and time is critical so you may decide to make it unusable
An unusable index or index partition must be rebuilt, or dropped and re-created, before it can be used. Truncating a table makes an unusable index valid.
Beginning with Oracle Database 11g Release 2, when you make an existing index unusable, its index segment is dropped.
The functionality of unusable indexes depends on the setting of the SKIP_UNUSABLE_INDEXES initialization parameter.
When SKIP_UNUSABLE_INDEXES is TRUE (the default), then:
DML statements against the table proceed, but unusable indexes are not maintained.
DML statements terminate with an error if there are any unusable indexes that are used to enforce the UNIQUE constraint.
For non partitioned indexes, the optimizer does not consider any unusable indexes when creating an access plan for SELECT statements. The only exception is when an index is explicitly specified with the INDEX() hint.
When SKIP_UNUSABLE_INDEXES is FALSE, then:
If any unusable indexes or index partitions are present, any DML statements that would cause those indexes or index partitions to be updated are terminated with an error.
For SELECT statements, if an unusable index or unusable index partition is present but the optimizer does not choose to use it for the access plan, the statement proceeds. However, if the optimizer does choose to use the unusable index or unusable index partition, the statement terminates with an error.
Data dictionary views on Indexes
|DBA_INDEXES ALL_INDEXES USER_INDEXES||DBA view describes indexes on all tables in the database. ALL view describes indexes on all tables accessible to the user. USER view is restricted to indexes owned by the user. Some columns in these views contain statistics that are generated by the DBMS_STATS package or ANALYZE statement.|
|DBA_IND_COLUMNS ALL_IND_COLUMNS |
|These views describe the columns of indexes on tables. Some columns in these views contain statistics that are generated by the DBMS_STATS package or ANALYZE statement.|
|DBA_IND_EXPRESSIONS ALL_IND_EXPRESSIONS |
|These views describe the expressions of function-based indexes on tables.|
|DBA_IND_STATISTICS ALL_IND_STATISTICS |
|These views contain optimizer statistics for indexes.|
how to find indexes on a table
set pagesize 50000 verify off echo off col table_name head 'Table Name' format a20 col index_name head 'Index Name' format a25 col column_name head 'Column Name' format a30 break on table_name on index_name select table_name, index_name, column_name from all_ind_columns where table_name like upper('&Table_Name') order by table_name, index_name, column_position /
How to determine index size
Size of INDEX select segment_name,sum(bytes)/1024/1024/1024 as "SIZE in GB" from user_segments where segment_name='INDEX_NAME' group by segment_name; OR select owner,segment_name,sum(bytes)/1024/1024/1024 as "SIZE in GB" from dba_segments where owner='SCHEMA_NAME' and segment_name='INDEX_NAME' group by owner,segment_name; List of Size of all INDEXES of a USER select segment_name,sum(bytes)/1024/1024/1024 as "SIZE in GB" from user_segments where segment_type='INDEX' group by segment_name order by "SIZE in GB" desc; OR select owner,segment_name,sum(bytes)/1024/1024/1024 as "SIZE in GB" from dba_segments where owner='SCHEMA_NAME' and segment_type='INDEX' group by owner,segment_name order by "SIZE in GB" desc; Sum of sizes of all indexes select owner,sum(bytes)/1024/1024/1024 as "SIZE in GB" from dba_segments where owner='SCHEMA_NAME' and segment_type='INDEX' group by owner;
How to determine the Index definition
set long 4000 select dbms_metadata.get_ddl('INDEX','<INDEX Name>','<INDEX OWNER') from dual;
How to determine the Index statistics
set pages 250 set linesize 100 set verify off col table_name format a24 heading 'TABLE NAME' col index_name format a23 heading 'INDEX NAME' col u format a1 heading 'U' col blevel format 0 heading 'BL' col leaf_blocks format 999990 heading 'LEAF|BLOCKS' col distinct_keys format 9999990 heading 'DISTINCT|KEYS' col avg_leaf_blocks_per_key format 9999990 heading 'LEAF|BLKS|/KEY' col avg_data_blocks_per_key format 9999990 heading 'DATA|BLKS|/KEY' rem break on table_name rem select table_name, index_name, decode( uniqueness, 'UNIQUE', 'U', null ) u, blevel, leaf_blocks, distinct_keys, avg_leaf_blocks_per_key, avg_data_blocks_per_key from sys.dba_indexes where table_owner like upper('&owner') and table_name like upper('&table') order by table_owner, table_name, index_name;
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