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Materialized Views
Acknowledgement to Author: Willie
Albino
2
Materialized Views – Agenda
 What is a Materialized View?
– Advantages and Disadvantages
 How Materialized Views Work
– Parameter Settings, Privileges, Query Rewrite
 Creating Materialized Views
– Syntax, Refresh Modes/Options, Build Methods
– Examples
3
What is a Materialized View?
 A database object that stores the results of a query
– Marries the query rewrite features found in Oracle
Discoverer with the data refresh capabilities of snapshots
 Features/Capabilities
– Can be partitioned and indexed
– Can be queried directly
– Can have DML applied against it
– Several refresh options are available
– Best in read-intensive environments
4
Ordinary views vs. materialized views
 Ordinary views
– Virtual table
– Named select statement
 Part of the SQL standard
 Syntax
– CREATE VIEW viewName
AS selectStatement
 Physical table
– Replication of master data at a
single point in time
 Not part of the SQL standard
 Syntax
– CREATE MATERIALIZED
VIEW viewName AS
selectStatement
5
Why use materialized views?
 Replicate data to non-master sites
– To save network traffic when data is used in transactions
 Cache expensive queries
– Expensive in terms of time or memory
– Example: Sum, average or other calculations on large
amounts of data
6
Advantages and Disadvantages
 Advantages
– Useful for summarizing, pre-computing, replicating and
distributing data
– Faster access for expensive and complex joins
– Transparent to end-users
 MVs can be added/dropped without invalidating coded SQL
 Disadvantages
– Performance costs of maintaining the views
– Storage costs of maintaining the views
7
Database Parameter Settings
 System or session settings
– query_rewrite_enabled={true|false}
 Can be set for a session using
– alter session set query_rewrite_enabled=true;
 Privileges which must be granted to users directly
– QUERY_REWRITE - for MV using objects in own schema
– GLOBAL_QUERY_REWRITE - for objects in other schemas
8
Syntax For Materialized Views
CREATE MATERIALIZED VIEW <name>
TABLESPACE <tbs name> {<storage parameters>}
<build option>
REFRESH <refresh option> <refresh mode>
[ENABLE|DISABLE] QUERY REWRITE
AS
SELECT <select clause>;
The <build option> determines when MV is built
– BUILD IMMEDIATE: view is built at creation time
– BUILD DEFFERED: view is built at a later time
9
 Refresh Options
– COMPLETE – totally refreshes the view
 Can be done at any time; can be time consuming
– FAST – incrementally applies data changes
 A materialized view log is required on each detail table
 Data changes are recorded in MV logs or direct loader logs
 Many other requirements must be met for fast refreshes
– FORCE – Try a FAST refresh, if not possible make COMPLETE
 The default refresh option
Materialized View Refresh Options
10
Materialized View Refresh Modes
 Refresh Modes
– ON COMMIT – refreshes occur whenever a commit is
performed on one of the view’s underlying detail table(s)
 Available only with single table aggregate or join based views
 Keeps view data transactionally accurate
 Need to check alert log for view creation errors
– ON DEMAND – refreshes are initiated manually using one of
the procedures in the DBMS_MVIEW package
 Can be used with all types of materialized views
 Manual Refresh Procedures
– DBMS_MVIEW.REFRESH(<mv_name>, <refresh_option>)
– DBMS_MVIEW.REFRESH_ALL_MVIEWS()
– START WITH [NEXT] <date> - refreshes start at a specified
date/time and continue at regular intervals
11
Materialized View Example
CREATE MATERIALIZED VIEW items_summary_mv
REFRESH FORCE AS
SELECT a.PRD_ID, a.SITE_ID, a.TYPE_CODE, a.CATEG_ID,
sum(a.GMS) GMS,
sum(a.NET_REV) NET_REV,
sum(a.BOLD_FEE) BOLD_FEE,
sum(a.BIN_PRICE) BIN_PRICE,
sum(a.GLRY_FEE) GLRY_FEE,
sum(a.QTY_SOLD) QTY_SOLD,
count(a.ITEM_ID) UNITS
FROM items a
GROUP BY a.PRD_ID, a.SITE_ID, a.TYPE_CODE, a.CATEG_ID;
ANALYZE TABLE item_summary_mv COMPUTE STATISTICS;
12
Materialized View Example (cont’d)
-- Query to test impact of materialized view
select categ_id, site_id,
sum(net_rev),
sum(bold_fee),
count(item_id)
from items
where prd_id in ('2000M05','2000M06','2001M07','2001M08')
and site_id in (0,1)
and categ_id in (2,4,6,8,1,22)
group by categ_id, site_id
save mv_example.sql
13
Materialized View Example (cont’d)
SQL> ALTER SESSION SET QUERY_REWRITE_ENABLED=FALSE;
SQL> @mv_example.sql
CATEG_ID SITE_ID SUM(NET_REV) SUM(BOLD_FEE) COUNT(ITEM_ID)
-------- ------- ------------ ------------- --------------
1 0 -2.35 0 1
22 0 -42120.87 -306 28085
Elapsed: 01:32:17.93
Execution Plan
----------------------------------------------------------
0 SELECT STATEMENT Optimizer=HINT: FIRST_ROWS (Cost=360829 Card=6 Bytes=120)
1 0 SORT (GROUP BY) (Cost=360829 Card=6 Bytes=120)
2 1 PARTITION RANGE (INLIST
3 2 TABLE ACCESS (FULL) OF ‘ITEMS' (Cost=360077
Card=375154 Bytes=7503080)
14
Materialized View Example (cont’d)
SQL> ALTER SESSION SET QUERY_REWRITE_ENABLED=TRUE;
SQL> @mv_example.sql
CATEG_ID SITE_ID SUM(NET_REV) SUM(BOLD_FEE) COUNT(ITEM_ID)
-------- ------- ------------ ------------- --------------
1 0 -2.35 0 1
22 0 -42120.87 -306 28085
Elapsed: 00:01:40.47
Execution Plan
----------------------------------------------------------------------------------------------
0 SELECT STATEMENT Optimizer=HINT: FIRST_ROWS (Cost=3749 Card=12 Bytes=276)
1 0 SORT (GROUP BY) (Cost=3749 Card=12 Bytes=276)
2 1 PARTITION RANGE (INLIST)
3 2 TABLE ACCESS (FULL) OF ‘ITEMS_SUMMARY_MV'
(Cost=3723 Card=7331 Bytes=168613)
15
Example of FAST REFRESH MV
CREATE MATERIALIZED VIEW LOG ON ITEMS
TABLESPACE MV_LOGS STORAGE(INITIAL 10M NEXT 10M) WITH ROWID;
CREATE MATERIALIZED VIEW LOG ON CUSTOMERS
TABLESPACE MV_LOGS STORAGE(INITIAL 1M NEXT 1M) WITH ROWID;
CREATE MATERIALIZED VIEW cust_activity
BUILD IMMEDIATE
REFRESH FAST ON COMMIT
AS
SELECT u.ROWID cust_rowid, l.ROWID item_rowid,
u.cust_id, u.custname, u.email,
l.categ_id, l.site_id, sum(gms), sum(net_rev_fee)
FROM customers u, items l
WHERE u.cust_id = l.seller_id
GROUP BY u.cust_id, u.custname, u.email, l.categ_id, l.site_id;
16
Getting Information About an MV
Getting information about the key columns of a materialized view:
SELECT POSITION_IN_SELECT POSITION,
CONTAINER_COLUMN COLUMN,
DETAILOBJ_OWNER OWNER,
DETAILOBJ_NAME SOURCE,
DETAILOBJ_ALIAS ALIAS,
DETAILOBJ_TYPE TYPE,
DETAILOBJ_COLUMN SRC_COLUMN
FROM USER_MVIEW_KEYS
WHERE MVIEW_NAME=‘ITEMS_SUMMARY_MV’;
POS COLUMN OWNER SOURCE ALIAS TYPE SRC_COLUMN
--- ---------- ----- -------- ----- ------ -----------
1 PRD_ID TAZ ITEMS A TABLE PRD_ID
2 SITE_ID TAZ ITEMS A TABLE SITE_ID
3 TYPE_CODE TAZ ITEMS A TABLE TYPE_CODE
4 CATEG_ID TAZ ITEMS A TABLE CATEG_ID
17
Getting Information About an MV
Getting information about the aggregate columns of a materialized
view:
SELECT POSITION_IN_SELECT POSITION,
CONTAINER_COLUMN COLUMN,
AGG_FUNCTION
FROM USER_MVIEW_AGGREGATES
WHERE MVIEW_NAME=‘ITEMS_SUMMARY_MV’;
POSITION COLUMN AGG_FUNCTION
-------- ----------------- ------------
6 GMS SUM
7 NET_REV SUM
: : :
11 QTY_SOLD SUM
12 UNITS COUNT
Willie Albino May 15, 2003
18
Summary
 Materialized Views
– reduce system cpu/io resource requirements by pre-
calculating and storing results of intensive queries
– allow for the automatic rewriting of intensive queries
– are transparent to the application
– have storage/maintenance requirements
– can understand complex data relationships
– can be refreshed on demand or on a schedule
19
Requirements for FAST REFRESH
Requirement Joins Only Joins &
Aggregates
Single Table
Aggregates
Must be based on detail tables only X X X
Must be based on a single table X
Each table can appear only once in the FROM list X X X
Cannot contain nonrepeating expressions (ROWNUM, SYSDATE, etc) X X X
Cannot contain references to RAW or LONG RAW X X X
Cannot contain the GROUP BY clause X
The SELECT list must include the ROWIDs of all the detail tables X
Expressions can be included in the GROUP BY and SELECT clause as
long as they are the same in each
X X
Aggregates are allowed but cannot be nested X X
If SELECT clause contains AVG, it must also contain COUNT X X
If SELECT clause contains SUM, it must also contain COUNT X
If SELECT clause contains VARIANCE, it must also contain COUNT
and SUM
X X
If SELECT clause contains STDDEV, it must also contain COUNT and
SUM
X
The join predicates of the WHERE clause can included AND but not OR X
The HAVING and CONNECT BY clauses are not allowed X X X
Requirement Joins Only Joins &
Aggregates
Single Table
Aggregates
Sub-queries, inline views, or set functions such as UNION are not
allowed
X X X
A WHERE clause is not allowed X
COUNT(*) must be present X
MIN and MAX are not allowed X
Unique constraints must exist on the join columns of the inner table, if
an outer join is used
X
A materialized view log must exist that contains all column referenced in
the materialized view, and it must have been created with the LOG
NEW VALUES clause
X
A materialized view log containing ROWID must exist for each detail
table
X
Any non aggregate expressions in the SELECT and GROUP BY
clauses must be non-modified columns
X
DML allowed on detailed tables X X
Direct path data load allowed X X X
20
Rqmts For FAST REFRESH (cont’d)

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materialized view description presentation

  • 2. 2 Materialized Views – Agenda  What is a Materialized View? – Advantages and Disadvantages  How Materialized Views Work – Parameter Settings, Privileges, Query Rewrite  Creating Materialized Views – Syntax, Refresh Modes/Options, Build Methods – Examples
  • 3. 3 What is a Materialized View?  A database object that stores the results of a query – Marries the query rewrite features found in Oracle Discoverer with the data refresh capabilities of snapshots  Features/Capabilities – Can be partitioned and indexed – Can be queried directly – Can have DML applied against it – Several refresh options are available – Best in read-intensive environments
  • 4. 4 Ordinary views vs. materialized views  Ordinary views – Virtual table – Named select statement  Part of the SQL standard  Syntax – CREATE VIEW viewName AS selectStatement  Physical table – Replication of master data at a single point in time  Not part of the SQL standard  Syntax – CREATE MATERIALIZED VIEW viewName AS selectStatement
  • 5. 5 Why use materialized views?  Replicate data to non-master sites – To save network traffic when data is used in transactions  Cache expensive queries – Expensive in terms of time or memory – Example: Sum, average or other calculations on large amounts of data
  • 6. 6 Advantages and Disadvantages  Advantages – Useful for summarizing, pre-computing, replicating and distributing data – Faster access for expensive and complex joins – Transparent to end-users  MVs can be added/dropped without invalidating coded SQL  Disadvantages – Performance costs of maintaining the views – Storage costs of maintaining the views
  • 7. 7 Database Parameter Settings  System or session settings – query_rewrite_enabled={true|false}  Can be set for a session using – alter session set query_rewrite_enabled=true;  Privileges which must be granted to users directly – QUERY_REWRITE - for MV using objects in own schema – GLOBAL_QUERY_REWRITE - for objects in other schemas
  • 8. 8 Syntax For Materialized Views CREATE MATERIALIZED VIEW <name> TABLESPACE <tbs name> {<storage parameters>} <build option> REFRESH <refresh option> <refresh mode> [ENABLE|DISABLE] QUERY REWRITE AS SELECT <select clause>; The <build option> determines when MV is built – BUILD IMMEDIATE: view is built at creation time – BUILD DEFFERED: view is built at a later time
  • 9. 9  Refresh Options – COMPLETE – totally refreshes the view  Can be done at any time; can be time consuming – FAST – incrementally applies data changes  A materialized view log is required on each detail table  Data changes are recorded in MV logs or direct loader logs  Many other requirements must be met for fast refreshes – FORCE – Try a FAST refresh, if not possible make COMPLETE  The default refresh option Materialized View Refresh Options
  • 10. 10 Materialized View Refresh Modes  Refresh Modes – ON COMMIT – refreshes occur whenever a commit is performed on one of the view’s underlying detail table(s)  Available only with single table aggregate or join based views  Keeps view data transactionally accurate  Need to check alert log for view creation errors – ON DEMAND – refreshes are initiated manually using one of the procedures in the DBMS_MVIEW package  Can be used with all types of materialized views  Manual Refresh Procedures – DBMS_MVIEW.REFRESH(<mv_name>, <refresh_option>) – DBMS_MVIEW.REFRESH_ALL_MVIEWS() – START WITH [NEXT] <date> - refreshes start at a specified date/time and continue at regular intervals
  • 11. 11 Materialized View Example CREATE MATERIALIZED VIEW items_summary_mv REFRESH FORCE AS SELECT a.PRD_ID, a.SITE_ID, a.TYPE_CODE, a.CATEG_ID, sum(a.GMS) GMS, sum(a.NET_REV) NET_REV, sum(a.BOLD_FEE) BOLD_FEE, sum(a.BIN_PRICE) BIN_PRICE, sum(a.GLRY_FEE) GLRY_FEE, sum(a.QTY_SOLD) QTY_SOLD, count(a.ITEM_ID) UNITS FROM items a GROUP BY a.PRD_ID, a.SITE_ID, a.TYPE_CODE, a.CATEG_ID; ANALYZE TABLE item_summary_mv COMPUTE STATISTICS;
  • 12. 12 Materialized View Example (cont’d) -- Query to test impact of materialized view select categ_id, site_id, sum(net_rev), sum(bold_fee), count(item_id) from items where prd_id in ('2000M05','2000M06','2001M07','2001M08') and site_id in (0,1) and categ_id in (2,4,6,8,1,22) group by categ_id, site_id save mv_example.sql
  • 13. 13 Materialized View Example (cont’d) SQL> ALTER SESSION SET QUERY_REWRITE_ENABLED=FALSE; SQL> @mv_example.sql CATEG_ID SITE_ID SUM(NET_REV) SUM(BOLD_FEE) COUNT(ITEM_ID) -------- ------- ------------ ------------- -------------- 1 0 -2.35 0 1 22 0 -42120.87 -306 28085 Elapsed: 01:32:17.93 Execution Plan ---------------------------------------------------------- 0 SELECT STATEMENT Optimizer=HINT: FIRST_ROWS (Cost=360829 Card=6 Bytes=120) 1 0 SORT (GROUP BY) (Cost=360829 Card=6 Bytes=120) 2 1 PARTITION RANGE (INLIST 3 2 TABLE ACCESS (FULL) OF ‘ITEMS' (Cost=360077 Card=375154 Bytes=7503080)
  • 14. 14 Materialized View Example (cont’d) SQL> ALTER SESSION SET QUERY_REWRITE_ENABLED=TRUE; SQL> @mv_example.sql CATEG_ID SITE_ID SUM(NET_REV) SUM(BOLD_FEE) COUNT(ITEM_ID) -------- ------- ------------ ------------- -------------- 1 0 -2.35 0 1 22 0 -42120.87 -306 28085 Elapsed: 00:01:40.47 Execution Plan ---------------------------------------------------------------------------------------------- 0 SELECT STATEMENT Optimizer=HINT: FIRST_ROWS (Cost=3749 Card=12 Bytes=276) 1 0 SORT (GROUP BY) (Cost=3749 Card=12 Bytes=276) 2 1 PARTITION RANGE (INLIST) 3 2 TABLE ACCESS (FULL) OF ‘ITEMS_SUMMARY_MV' (Cost=3723 Card=7331 Bytes=168613)
  • 15. 15 Example of FAST REFRESH MV CREATE MATERIALIZED VIEW LOG ON ITEMS TABLESPACE MV_LOGS STORAGE(INITIAL 10M NEXT 10M) WITH ROWID; CREATE MATERIALIZED VIEW LOG ON CUSTOMERS TABLESPACE MV_LOGS STORAGE(INITIAL 1M NEXT 1M) WITH ROWID; CREATE MATERIALIZED VIEW cust_activity BUILD IMMEDIATE REFRESH FAST ON COMMIT AS SELECT u.ROWID cust_rowid, l.ROWID item_rowid, u.cust_id, u.custname, u.email, l.categ_id, l.site_id, sum(gms), sum(net_rev_fee) FROM customers u, items l WHERE u.cust_id = l.seller_id GROUP BY u.cust_id, u.custname, u.email, l.categ_id, l.site_id;
  • 16. 16 Getting Information About an MV Getting information about the key columns of a materialized view: SELECT POSITION_IN_SELECT POSITION, CONTAINER_COLUMN COLUMN, DETAILOBJ_OWNER OWNER, DETAILOBJ_NAME SOURCE, DETAILOBJ_ALIAS ALIAS, DETAILOBJ_TYPE TYPE, DETAILOBJ_COLUMN SRC_COLUMN FROM USER_MVIEW_KEYS WHERE MVIEW_NAME=‘ITEMS_SUMMARY_MV’; POS COLUMN OWNER SOURCE ALIAS TYPE SRC_COLUMN --- ---------- ----- -------- ----- ------ ----------- 1 PRD_ID TAZ ITEMS A TABLE PRD_ID 2 SITE_ID TAZ ITEMS A TABLE SITE_ID 3 TYPE_CODE TAZ ITEMS A TABLE TYPE_CODE 4 CATEG_ID TAZ ITEMS A TABLE CATEG_ID
  • 17. 17 Getting Information About an MV Getting information about the aggregate columns of a materialized view: SELECT POSITION_IN_SELECT POSITION, CONTAINER_COLUMN COLUMN, AGG_FUNCTION FROM USER_MVIEW_AGGREGATES WHERE MVIEW_NAME=‘ITEMS_SUMMARY_MV’; POSITION COLUMN AGG_FUNCTION -------- ----------------- ------------ 6 GMS SUM 7 NET_REV SUM : : : 11 QTY_SOLD SUM 12 UNITS COUNT
  • 18. Willie Albino May 15, 2003 18 Summary  Materialized Views – reduce system cpu/io resource requirements by pre- calculating and storing results of intensive queries – allow for the automatic rewriting of intensive queries – are transparent to the application – have storage/maintenance requirements – can understand complex data relationships – can be refreshed on demand or on a schedule
  • 19. 19 Requirements for FAST REFRESH Requirement Joins Only Joins & Aggregates Single Table Aggregates Must be based on detail tables only X X X Must be based on a single table X Each table can appear only once in the FROM list X X X Cannot contain nonrepeating expressions (ROWNUM, SYSDATE, etc) X X X Cannot contain references to RAW or LONG RAW X X X Cannot contain the GROUP BY clause X The SELECT list must include the ROWIDs of all the detail tables X Expressions can be included in the GROUP BY and SELECT clause as long as they are the same in each X X Aggregates are allowed but cannot be nested X X If SELECT clause contains AVG, it must also contain COUNT X X If SELECT clause contains SUM, it must also contain COUNT X If SELECT clause contains VARIANCE, it must also contain COUNT and SUM X X If SELECT clause contains STDDEV, it must also contain COUNT and SUM X The join predicates of the WHERE clause can included AND but not OR X The HAVING and CONNECT BY clauses are not allowed X X X
  • 20. Requirement Joins Only Joins & Aggregates Single Table Aggregates Sub-queries, inline views, or set functions such as UNION are not allowed X X X A WHERE clause is not allowed X COUNT(*) must be present X MIN and MAX are not allowed X Unique constraints must exist on the join columns of the inner table, if an outer join is used X A materialized view log must exist that contains all column referenced in the materialized view, and it must have been created with the LOG NEW VALUES clause X A materialized view log containing ROWID must exist for each detail table X Any non aggregate expressions in the SELECT and GROUP BY clauses must be non-modified columns X DML allowed on detailed tables X X Direct path data load allowed X X X 20 Rqmts For FAST REFRESH (cont’d)