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  • Why use NoSQL over Materialized Views?

    - by JustinT
    There has been a lot of talk recently about NoSQL. The #1 reason why I hear people use NoSQL is because they start to de-normalize their DBMS data so much so, to increase performance, that they end up with just one table with all of their data within that single table. With Materialized Views however, you can keep your data normalized, yet have it stored as a single table view for the same reasons why you'd use NoSQL. As such, why would someone use NoSQL over Materialized Views?

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  • Materialized View does not import properly when importing on a second instance of a database

    - by marinus
    When I import a database with materialized view mv_mt in just one database (Oracle) everything is ok. create materialized view mv_mt refresh complete next trunc( sysdate ) + 1 as SELECT sysdate, media_type.* from media_type; But when I try to import the same database to a copy in another schema I get the following errors: IMP-00017: following statement failed with ORACLE error 1: "BEGIN DBMS_JOB.ISUBMIT(JOB=438,WHAT='dbms_refresh.refresh(''"ALEXANDRA"" "."MV_MT"'');',NEXT_DATE=TO_DATE('2012-07-02:14:22:36','YYYY-MM-DD:HH24:MI:" "SS'),INTERVAL='sysdate + 1 / 24 / 60 / 6 ',NO_PARSE=TRUE); END;" IMP-00003: ORACLE error 1 encountered ORA-00001: unique constraint (SYS.I_JOB_JOB) violated ORA-06512: at "SYS.DBMS_JOB", line 100 ORA-06512: at line 1 IMP-00017: following statement failed with ORACLE error 23421: "BEGIN dbms_refresh.make('"ALEXANDRA"."MV_MT"',list=null,next_date=null," "interval=null,implicit_destroy=TRUE,lax=FALSE,job=438,rollback_seg=NUL" "L,push_deferred_rpc=TRUE,refresh_after_errors=FALSE,purge_option = 1,par" "allelism = 0,heap_size = 0); END;" IMP-00003: ORACLE error 23421 encountered ORA-23421: job number 438 is not a job in the job queue ORA-06512: at "SYS.DBMS_SYS_ERROR", line 86 ORA-06512: at "SYS.DBMS_IJOB", line 793 ORA-06512: at "SYS.DBMS_REFRESH", line 86 ORA-06512: at "SYS.DBMS_REFRESH", line 62 ORA-06512: at line 1 IMP-00017: following statement failed with ORACLE error 23410: "BEGIN dbms_refresh.add(name='"ALEXANDRA"."MV_MT"',list='"ALEXANDRA"."MV" "_MT"',siteid=0,export_db='ORCL01'); END;" IMP-00003: ORACLE error 23410 encountered ORA-23410: materialized view "ALEXANDRA"."MV_MT" is already in a refresh group ORA-06512: at "SYS.DBMS_SYS_ERROR", line 95 ORA-06512: at "SYS.DBMS_IREFRESH", line 484 ORA-06512: at "SYS.DBMS_REFRESH", line 140 ORA-06512: at "SYS.DBMS_REFRESH", line 125 ORA-06512: at line 1 Anyone any ideas? Regards, Marinus

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  • Sorting tree with a materialized path?

    - by Ovid
    I have a tree structure in a table and it uses materialized paths to allow me to find children quickly. However, I also need to sort the results depth-first, as one would expect with threaded forum replies. id | parent_id | matpath | created ----+-----------+---------+---------------------------- 2 | 1 | 1 | 2010-05-08 15:18:37.987544 3 | 1 | 1 | 2010-05-08 17:38:14.125377 4 | 1 | 1 | 2010-05-08 17:38:57.26743 5 | 1 | 1 | 2010-05-08 17:43:28.211708 7 | 1 | 1 | 2010-05-08 18:18:11.849735 6 | 2 | 1.2 | 2010-05-08 17:50:43.288759 9 | 5 | 1.5 | 2010-05-09 14:02:43.818646 8 | 6 | 1.2.6 | 2010-05-09 14:01:17.632695 So the final results should actually be sorted like this: id | parent_id | matpath | created ----+-----------+---------+---------------------------- 2 | 1 | 1 | 2010-05-08 15:18:37.987544 6 | 2 | 1.2 | 2010-05-08 17:50:43.288759 8 | 6 | 1.2.6 | 2010-05-09 14:01:17.632695 3 | 1 | 1 | 2010-05-08 17:38:14.125377 4 | 1 | 1 | 2010-05-08 17:38:57.26743 5 | 1 | 1 | 2010-05-08 17:43:28.211708 9 | 5 | 1.5 | 2010-05-09 14:02:43.818646 7 | 1 | 1 | 2010-05-08 18:18:11.849735 How would I work that out? Can I do that in straight SQL (this is PostgreSQL 8.4) or should additional information be added to this table?

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  • Materialized Query Table in SQL Server 2005

    - by Azho KG
    In DB2 there is a support for Materialized Query Table (MQT). Basicly you write a query and create a MQT. But the difference from View is that the query is pre-executed and resulting data is stored in MQT and there are some options when to refresh/syncronize the MQT with base tables. I want same functionality in SQL Server. Is there a way to achieve same result? I've tables with millions of rows, and I want to show summary (like total # of members, total expense and etc) in dashboard. So I don't want to count every time user gets to dashboard, instead I want to store them in table and I want that table to be refresh each night. Any kind of hints, answers,suggestions and ideas are welcome. Thanks.

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  • Materialized View vs POJO View based on Objects representing Oracle tables

    - by Zack Macomber
    I have about 12 Oracle tables that represent data that's being integrated from an external system into my web application. This data is going to be used in an informational and comparative manner for the clients using my web application. On one particular page of my web application, I need to combine data from 3 - 5 Oracle tables for display as an HTML table on the page. We are NOT currently using a framework (Apache Struts for instance) and we're not in a position to move this Java web application into one at this moment (I'm trying to get us there...). I am certainly not an architect, but I see one of two ways that I can effectively build this page (I know there are other ways, but these seem like they would be good ones...): 1. Create an Oracle Materialized View that represents what the HTML table should look like and then create a POJO based on the View that I can then integrate into my JSP. 2. Create POJOs that represent the Oracle tables themselves and then create another POJO that is the View used for the HTML table and then integrate that POJO into my JSP. To me, it seems the Materialized View would possibly offer quicker results which is always what we strive for in web applications. But, if I just create 12 POJOs that represent the Oracle tables and then build POJO Views off of those, I have the advantage of keeping all the code in one place for this and possibility for creating any number of different views and reusable components in my web application. Any thoughts on which one might be the better route? Or, maybe you know of an even better one?

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  • What's in-memory database technology that do realtime materialized view?

    - by KA100
    What I'm looking for is something like materialized views in front-end that shows my data in diffident ways without full recalculation. let's say I have stock watcher with many front-end views and dashborads some based on aggregation, order by or just filter with different criteria defined realtime by user. Now, I receive online record updates from some webservice and it's not like "data warehouse" every single record can be updated any time and it actually happens every second. Is there any technology can help me in such I create something like materialized view and it's update it without doing full recalculation every time data changed. Thank you.

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  • On-demand refresh mode for indexed view (=Materialized views) on SQL Server?

    - by MOLAP
    I know Oracle offers several refreshmode options for their materialized views (on demand, on commit, periodically). Does Microsoft SQLServer offer the same functions for their indexed views? If not, how can I else use indexed views on SQLServer if my purpose is to export data on a daily+ on-demand basis, and want to avoid performance overhead problems? Does a workaround exist?

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  • ETL : Tracking changes to data using Materialized View log

    - by avinash
    I am into designing ETL with source and target database as oracle Standard Edition. For ETL purpose I need to get the changed data everytime.Client does not want any changes to be made in source objects. Is it feasible to create Materialized view log on source database using dblink to track Inser/Update/Delete on the identified tables. Thanks and Regards

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  • Materialized View does not import properly when importing a db for a second time in another schema [closed]

    - by marinus
    When I import a database with materialized view mv_mt in just one schema there are no errors. create materialized view mv_mt refresh complete next trunc( sysdate ) + 1 as SELECT sysdate, media_type.* from media_type; But when I try to import the same database to a copy in another schema in the same tablespace I get the following errors: IMP-00017: following statement failed with ORACLE error 1: "BEGIN DBMS_JOB.ISUBMIT(JOB=>438,WHAT=>'dbms_refresh.refresh(''"ALEXANDRA"" "."MV_MT"'');',NEXT_DATE=>TO_DATE('2012-07-02:14:22:36','YYYY-MM-DD:HH24:MI:" "SS'),INTERVAL=>'sysdate + 1 / 24 / 60 / 6 ',NO_PARSE=>TRUE); END;" IMP-00003: ORACLE error 1 encountered ORA-00001: unique constraint (SYS.I_JOB_JOB) violated ORA-06512: at "SYS.DBMS_JOB", line 100 ORA-06512: at line 1 IMP-00017: following statement failed with ORACLE error 23421: "BEGIN dbms_refresh.make('"ALEXANDRA"."MV_MT"',list=>null,next_date=>null," "interval=>null,implicit_destroy=>TRUE,lax=>FALSE,job=>438,rollback_seg=>NUL" "L,push_deferred_rpc=>TRUE,refresh_after_errors=>FALSE,purge_option => 1,par" "allelism => 0,heap_size => 0); END;" IMP-00003: ORACLE error 23421 encountered ORA-23421: job number 438 is not a job in the job queue ORA-06512: at "SYS.DBMS_SYS_ERROR", line 86 ORA-06512: at "SYS.DBMS_IJOB", line 793 ORA-06512: at "SYS.DBMS_REFRESH", line 86 ORA-06512: at "SYS.DBMS_REFRESH", line 62 ORA-06512: at line 1 IMP-00017: following statement failed with ORACLE error 23410: "BEGIN dbms_refresh.add(name=>'"ALEXANDRA"."MV_MT"',list=>'"ALEXANDRA"."MV" "_MT"',siteid=>0,export_db=>'ORCL01'); END;" IMP-00003: ORACLE error 23410 encountered ORA-23410: materialized view "ALEXANDRA"."MV_MT" is already in a refresh group ORA-06512: at "SYS.DBMS_SYS_ERROR", line 95 ORA-06512: at "SYS.DBMS_IREFRESH", line 484 ORA-06512: at "SYS.DBMS_REFRESH", line 140 ORA-06512: at "SYS.DBMS_REFRESH", line 125 ORA-06512: at line 1 Anyone any ideas?

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  • Select distinct ... inner join vs. select ... where id in (...)

    - by Tonio
    I'm trying to create a subset of a table (as a materialized view), defined as those records which have a matching record in another materialized view. For example, let's say I have a Users table with user_id and name columns, and a Log table, with entry_id, user_id, activity, and timestamp columns. First I create a materialized view of the Log table, selecting only those rows with timestamp some_date. Now I want a materliazed view of the Users referenced in my snapshot of the Log table. I can either create it as select * from Users where user_id in (select user_id from Log_mview), or I can do select distinct u.* from Users u inner join Log_mview l on u.user_id = l.user_id (need the distinct to avoid multiple hits from users with multiple log entries). The former seems cleaner and more elegant, but takes much longer. Am I missing something? Is there a better way to do this?

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  • SQL Server indexed view matching of views with joins not working

    - by usr
    Does anyone have experience of when SQL Servr 2008 R2 is able to automatically match indexed view (also known as materialized views) that contain joins to a query? for example the view select dbo.Orders.Date, dbo.OrderDetails.ProductID from dbo.OrderDetails join dbo.Orders on dbo.OrderDetails.OrderID = dbo.Orders.ID cannot be automatically matched to the same exact query. When I select directly from this view ith (noexpand) I actually get a much faster query plan that does a scan on the clustered index of the indexed view. Can I get SQL Server to do this matching automatically? I have quite a few queries and views... I am on enterprise edition of SQL Server 2008 R2.

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  • which is better, creating a materialized view or a new table?

    - by Carson
    I have some demanding mysql queries that are needed to grap same up-to-date datasets from 5-7 mysql tables. I am thinking of creating a table or materialized view to gather all demanding columns from other tables, so as to increase performance. If I create that table, I may need to do extra insert / update / delete operation each time other tables updated. if I create materialized view, I am worrying if the performance can be greatly improved. Because data from other tables are changing very frequently. Most likely, the view may need to be created first everytime before selecting it. Any ideas? e.g. how to cache? other extra measures I can do?

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  • How to detect if a LINQ enumeration is materialized?

    - by Peter Lillevold
    Is there some way of detecting whether an enumerable built using LINQ (to Objects in this case) have been materialized or not? Other than trying to inspect the type of the underlying collection? Specifically, since enumerable.ToArray() will build a new array even if the underlying collection already is an array I'm looking for a way of avoiding ToArray() being called twice on the same collection.

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  • Master Note for Generic Data Warehousing

    - by lajos.varady(at)oracle.com
    ++++++++++++++++++++++++++++++++++++++++++++++++++++ The complete and the most recent version of this article can be viewed from My Oracle Support Knowledge Section. Master Note for Generic Data Warehousing [ID 1269175.1] ++++++++++++++++++++++++++++++++++++++++++++++++++++In this Document   Purpose   Master Note for Generic Data Warehousing      Components covered      Oracle Database Data Warehousing specific documents for recent versions      Technology Network Product Homes      Master Notes available in My Oracle Support      White Papers      Technical Presentations Platforms: 1-914CU; This document is being delivered to you via Oracle Support's Rapid Visibility (RaV) process and therefore has not been subject to an independent technical review. Applies to: Oracle Server - Enterprise Edition - Version: 9.2.0.1 to 11.2.0.2 - Release: 9.2 to 11.2Information in this document applies to any platform. Purpose Provide navigation path Master Note for Generic Data Warehousing Components covered Read Only Materialized ViewsQuery RewriteDatabase Object PartitioningParallel Execution and Parallel QueryDatabase CompressionTransportable TablespacesOracle Online Analytical Processing (OLAP)Oracle Data MiningOracle Database Data Warehousing specific documents for recent versions 11g Release 2 (11.2)11g Release 1 (11.1)10g Release 2 (10.2)10g Release 1 (10.1)9i Release 2 (9.2)9i Release 1 (9.0)Technology Network Product HomesOracle Partitioning Advanced CompressionOracle Data MiningOracle OLAPMaster Notes available in My Oracle SupportThese technical articles have been written by Oracle Support Engineers to provide proactive and top level information and knowledge about the components of thedatabase we handle under the "Database Datawarehousing".Note 1166564.1 Master Note: Transportable Tablespaces (TTS) -- Common Questions and IssuesNote 1087507.1 Master Note for MVIEW 'ORA-' error diagnosis. For Materialized View CREATE or REFRESHNote 1102801.1 Master Note: How to Get a 10046 trace for a Parallel QueryNote 1097154.1 Master Note Parallel Execution Wait Events Note 1107593.1 Master Note for the Oracle OLAP OptionNote 1087643.1 Master Note for Oracle Data MiningNote 1215173.1 Master Note for Query RewriteNote 1223705.1 Master Note for OLTP Compression Note 1269175.1 Master Note for Generic Data WarehousingWhite Papers Transportable Tablespaces white papers Database Upgrade Using Transportable Tablespaces:Oracle Database 11g Release 1 (February 2009) Platform Migration Using Transportable Database Oracle Database 11g and 10g Release 2 (August 2008) Database Upgrade using Transportable Tablespaces: Oracle Database 10g Release 2 (April 2007) Platform Migration using Transportable Tablespaces: Oracle Database 10g Release 2 (April 2007)Parallel Execution and Parallel Query white papers Best Practices for Workload Management of a Data Warehouse on the Sun Oracle Database Machine (June 2010) Effective resource utilization by In-Memory Parallel Execution in Oracle Real Application Clusters 11g Release 2 (Feb 2010) Parallel Execution Fundamentals in Oracle Database 11g Release 2 (November 2009) Parallel Execution with Oracle Database 10g Release 2 (June 2005)Oracle Data Mining white paper Oracle Data Mining 11g Release 2 (March 2010)Partitioning white papers Partitioning with Oracle Database 11g Release 2 (September 2009) Partitioning in Oracle Database 11g (June 2007)Materialized Views and Query Rewrite white papers Oracle Materialized Views  and Query Rewrite (May 2005) Improving Performance using Query Rewrite in Oracle Database 10g (December 2003)Database Compression white papers Advanced Compression with Oracle Database 11g Release 2 (September 2009) Table Compression in Oracle Database 10g Release 2 (May 2005)Oracle OLAP white papers On-line Analytic Processing with Oracle Database 11g Release 2 (September 2009) Using Oracle Business Intelligence Enterprise Edition with the OLAP Option to Oracle Database 11g (July 2008)Generic white papers Enabling Pervasive BI through a Practical Data Warehouse Reference Architecture (February 2010) Optimizing and Protecting Storage with Oracle Database 11g Release 2 (November 2009) Oracle Database 11g for Data Warehousing and Business Intelligence (August 2009) Best practices for a Data Warehouse on Oracle Database 11g (September 2008)Technical PresentationsA selection of ObE - Oracle by Examples documents: Generic Using Basic Database Functionality for Data Warehousing (10g) Partitioning Manipulating Partitions in Oracle Database (11g Release 1) Using High-Speed Data Loading and Rolling Window Operations with Partitioning (11g Release 1) Using Partitioned Outer Join to Fill Gaps in Sparse Data (10g) Materialized View and Query Rewrite Using Materialized Views and Query Rewrite Capabilities (10g) Using the SQLAccess Advisor to Recommend Materialized Views and Indexes (10g) Oracle OLAP Using Microsoft Excel With Oracle 11g Cubes (how to analyze data in Oracle OLAP Cubes using Excel's native capabilities) Using Oracle OLAP 11g With Oracle BI Enterprise Edition (Creating OBIEE Metadata for OLAP 11g Cubes and querying those in BI Answers) Building OLAP 11g Cubes Querying OLAP 11g Cubes Creating Interactive APEX Reports Over OLAP 11g CubesSelection of presentations from the BIWA website:Extreme Data Warehousing With Exadata  by Hermann Baer (July 2010) (slides 2.5MB, recording 54MB)Data Mining Made Easy! Introducing Oracle Data Miner 11g Release 2 New "Work flow" GUI   by Charlie Berger (May 2010) (slides 4.8MB, recording 85MB )Best Practices for Deploying a Data Warehouse on Oracle Database 11g  by Maria Colgan (December 2009)  (slides 3MB, recording 18MB, white paper 3MB )

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  • Create user in Oracle 11g with same priviledges as in Oracle 10g XE

    - by Álvaro G. Vicario
    I'm a PHP developer (not a DBA) and I've been working with Oracle 10g XE for a while. I'm used to XE's simplified user management: Go to Administration/ Users/ Create user Assign user name and password Roles: leave the default ones (connect and resource) Privileges: click on "Enable all" to select the 11 possible ones Create This way I get a user that has full access to its data and no access to everything else. This is fine since I only need it to develop my app. When the app is to be deployed, the client's DBAs configure the environment. Now I have to create users in a full Oracle 11g server and I'm completely lost. I have a new concept (profiles) and there're like 20 roles and hundreds of privileges in various categories. What steps do I need to complete in Oracle Enterprise Manager in order to obtain a user with the same privileges I used to assign in XE? ==== UPDATE ==== I think I'd better provide a detailed explanation so I make myself clearer. This is how I create a user in 10g XE: Roles: [X] CONNECT [X] RESOURCE [ ] DBA Direct Asignment System Privileges: [ ] CREATE DATABASE LINK [ ] CREATE MATERIALIZED VIEW [ ] CREATE PROCEDURE [ ] CREATE PUBLIC SYNONYM [ ] CREATE ROLE [ ] CREATE SEQUENCE [ ] CREATE SYNONYM [ ] CREATE TABLE [ ] CREATE TRIGGER [ ] CREATE TYPE [ ] CREATE VIEW I click on Enable All and I'm done. This is what I'm asked when doing the same in 11g: Profile: (*) DEFAULT ( ) WKSYS_PROF ( ) MONITORING_PROFILE Roles: CONNECT: [ ] Admin option [X] Default value Edit List: AQ_ADMINISTRATOR_ROLE AQ_USER_ROLE AUTHENTICATEDUSER CSW_USR_ROLE CTXAPP CWM_USER DATAPUMP_EXP_FULL_DATABASE DATAPUMP_IMP_FULL_DATABASE DBA DELETE_CATALOG_ROLE EJBCLIENT EXECUTE_CATALOG_ROLE EXP_FULL_DATABASE GATHER_SYSTEM_STATISTICS GLOBAL_AQ_USER_ROLE HS_ADMIN_ROLE IMP_FULL_DATABASE JAVADEBUGPRIV JAVAIDPRIV JAVASYSPRIV JAVAUSERPRIV JAVA_ADMIN JAVA_DEPLOY JMXSERVER LOGSTDBY_ADMINISTRATOR MGMT_USER OEM_ADVISOR OEM_MONITOR OLAPI_TRACE_USER OLAP_DBA OLAP_USER OLAP_XS_ADMIN ORDADMIN OWB$CLIENT OWB_DESIGNCENTER_VIEW OWB_USER RECOVERY_CATALOG_OWNER RESOURCE SCHEDULER_ADMIN SELECT_CATALOG_ROLE SPATIAL_CSW_ADMIN SPATIAL_WFS_ADMIN WFS_USR_ROLE WKUSER WM_ADMIN_ROLE XDBADMIN XDB_SET_INVOKER XDB_WEBSERVICES XDB_WEBSERVICES_OVER_HTTP XDB_WEBSERVICES_WITH_PUBLIC System Privileges: <Empty> Edit List: ACCESS_ANY_WORKSPACE ADMINISTER ANY SQL TUNING SET ADMINISTER DATABASE TRIGGER ADMINISTER RESOURCE MANAGER ADMINISTER SQL MANAGEMENT OBJECT ADMINISTER SQL TUNING SET ADVISOR ALTER ANY ASSEMBLY ALTER ANY CLUSTER ALTER ANY CUBE ALTER ANY CUBE DIMENSION ALTER ANY DIMENSION ALTER ANY EDITION ALTER ANY EVALUATION CONTEXT ALTER ANY INDEX ALTER ANY INDEXTYPE ALTER ANY LIBRARY ALTER ANY MATERIALIZED VIEW ALTER ANY MINING MODEL ALTER ANY OPERATOR ALTER ANY OUTLINE ALTER ANY PROCEDURE ALTER ANY ROLE ALTER ANY RULE ALTER ANY RULE SET ALTER ANY SEQUENCE ALTER ANY SQL PROFILE ALTER ANY TABLE ALTER ANY TRIGGER ALTER ANY TYPE ALTER DATABASE ALTER PROFILE ALTER RESOURCE COST ALTER ROLLBACK SEGMENT ALTER SESSION ALTER SYSTEM ALTER TABLESPACE ALTER USER ANALYZE ANY ANALYZE ANY DICTIONARY AUDIT ANY AUDIT SYSTEM BACKUP ANY TABLE BECOME USER CHANGE NOTIFICATION COMMENT ANY MINING MODEL COMMENT ANY TABLE CREATE ANY ASSEMBLY CREATE ANY CLUSTER CREATE ANY CONTEXT CREATE ANY CUBE CREATE ANY CUBE BUILD PROCESS CREATE ANY CUBE DIMENSION CREATE ANY DIMENSION CREATE ANY DIRECTORY CREATE ANY EDITION CREATE ANY EVALUATION CONTEXT CREATE ANY INDEX CREATE ANY INDEXTYPE CREATE ANY JOB CREATE ANY LIBRARY CREATE ANY MATERIALIZED VIEW CREATE ANY MEASURE FOLDER CREATE ANY MINING MODEL CREATE ANY OPERATOR CREATE ANY OUTLINE CREATE ANY PROCEDURE CREATE ANY RULE CREATE ANY RULE SET CREATE ANY SEQUENCE CREATE ANY SQL PROFILE CREATE ANY SYNONYM CREATE ANY TABLE CREATE ANY TRIGGER CREATE ANY TYPE CREATE ANY VIEW CREATE ASSEMBLY CREATE CLUSTER CREATE CUBE CREATE CUBE BUILD PROCESS CREATE CUBE DIMENSION CREATE DATABASE LINK CREATE DIMENSION CREATE EVALUATION CONTEXT CREATE EXTERNAL JOB CREATE INDEXTYPE CREATE JOB CREATE LIBRARY CREATE MATERIALIZED VIEW CREATE MEASURE FOLDER CREATE MINING MODEL CREATE OPERATOR CREATE PROCEDURE CREATE PROFILE CREATE PUBLIC DATABASE LINK CREATE PUBLIC SYNONYM CREATE ROLE CREATE ROLLBACK SEGMENT CREATE RULE CREATE RULE SET CREATE SEQUENCE CREATE SESSION CREATE SYNONYM CREATE TABLE CREATE TABLESPACE CREATE TRIGGER CREATE TYPE CREATE USER CREATE VIEW CREATE_ANY_WORKSPACE DEBUG ANY PROCEDURE DEBUG CONNECT SESSION DELETE ANY CUBE DIMENSION DELETE ANY MEASURE FOLDER DELETE ANY TABLE DEQUEUE ANY QUEUE DROP ANY ASSEMBLY DROP ANY CLUSTER DROP ANY CONTEXT DROP ANY CUBE DROP ANY CUBE BUILD PROCESS DROP ANY CUBE DIMENSION DROP ANY DIMENSION DROP ANY DIRECTORY DROP ANY EDITION DROP ANY EVALUATION CONTEXT DROP ANY INDEX DROP ANY INDEXTYPE DROP ANY LIBRARY DROP ANY MATERIALIZED VIEW DROP ANY MEASURE FOLDER DROP ANY MINING MODEL DROP ANY OPERATOR DROP ANY OUTLINE DROP ANY PROCEDURE DROP ANY ROLE DROP ANY RULE DROP ANY RULE SET DROP ANY SEQUENCE DROP ANY SQL PROFILE DROP ANY SYNONYM DROP ANY TABLE DROP ANY TRIGGER DROP ANY TYPE DROP ANY VIEW DROP PROFILE DROP PUBLIC DATABASE LINK DROP PUBLIC SYNONYM DROP ROLLBACK SEGMENT DROP TABLESPACE DROP USER ENQUEUE ANY QUEUE EXECUTE ANY ASSEMBLY EXECUTE ANY CLASS EXECUTE ANY EVALUATION CONTEXT EXECUTE ANY INDEXTYPE EXECUTE ANY LIBRARY EXECUTE ANY OPERATOR EXECUTE ANY PROCEDURE EXECUTE ANY PROGRAM EXECUTE ANY RULE EXECUTE ANY RULE SET EXECUTE ANY TYPE EXECUTE ASSEMBLY EXPORT FULL DATABASE FLASHBACK ANY TABLE FLASHBACK ARCHIVE ADMINISTER FORCE ANY TRANSACTION FORCE TRANSACTION FREEZE_ANY_WORKSPACE GLOBAL QUERY REWRITE GRANT ANY OBJECT PRIVILEGE GRANT ANY PRIVILEGE GRANT ANY ROLE IMPORT FULL DATABASE INSERT ANY CUBE DIMENSION INSERT ANY MEASURE FOLDER INSERT ANY TABLE LOCK ANY TABLE MANAGE ANY FILE GROUP MANAGE ANY QUEUE MANAGE FILE GROUP MANAGE SCHEDULER MANAGE TABLESPACE MERGE ANY VIEW MERGE_ANY_WORKSPACE ON COMMIT REFRESH QUERY REWRITE READ ANY FILE GROUP REMOVE_ANY_WORKSPACE RESTRICTED SESSION RESUMABLE ROLLBACK_ANY_WORKSPACE SELECT ANY CUBE SELECT ANY CUBE DIMENSION SELECT ANY DICTIONARY SELECT ANY MINING MODEL SELECT ANY SEQUENCE SELECT ANY TABLE SELECT ANY TRANSACTION UNDER ANY TABLE UNDER ANY TYPE UNDER ANY VIEW UNLIMITED TABLESPACE UPDATE ANY CUBE UPDATE ANY CUBE BUILD PROCESS UPDATE ANY CUBE DIMENSION UPDATE ANY TABLE Object Privileges: <Empty> Add: Clase Java Clases de Trabajos Cola Columna de Tabla Columna de Vista Espacio de Trabajo Función Instantánea Origen Java Paquete Planificaciones Procedimiento Programas Secuencia Sinónimo Tabla Tipos Trabajos Vista Consumer Group Privileges: <Empty> Default Consumer Group: (*) None Edit List: AUTO_TASK_CONSUMER_GROUP BATCH_GROUP DEFAULT_CONSUMER_GROUP INTERACTIVE_GROUP LOW_GROUP ORA$AUTOTASK_HEALTH_GROUP ORA$AUTOTASK_MEDIUM_GROUP ORA$AUTOTASK_SPACE_GROUP ORA$AUTOTASK_SQL_GROUP ORA$AUTOTASK_STATS_GROUP ORA$AUTOTASK_URGENT_GROUP ORA$DIAGNOSTICS SYS_GROUP And, of course, I wonder what options I should pick.

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  • What are the Options for Storing Hierarchical Data in a Relational Database?

    - by orangepips
    Good Overviews One more Nested Intervals vs. Adjacency List comparison: the best comparison of Adjacency List, Materialized Path, Nested Set and Nested Interval I've found. Models for hierarchical data: slides with good explanations of tradeoffs and example usage Representing hierarchies in MySQL: very good overview of Nested Set in particular Hierarchical data in RDBMSs: most comprehensive and well organized set of links I've seen, but not much in the way on explanation Options Ones I am aware of and general features: Adjacency List: Columns: ID, ParentID Easy to implement. Cheap node moves, inserts, and deletes. Expensive to find level (can store as a computed column), ancestry & descendants (Bridge Hierarchy combined with level column can solve), path (Lineage Column can solve). Use Common Table Expressions in those databases that support them to traverse. Nested Set (a.k.a Modified Preorder Tree Traversal) First described by Joe Celko - covered in depth in his book Trees and Hierarchies in SQL for Smarties Columns: Left, Right Cheap level, ancestry, descendants Compared to Adjacency List, moves, inserts, deletes more expensive. Requires a specific sort order (e.g. created). So sorting all descendants in a different order requires additional work. Nested Intervals Combination of Nested Sets and Materialized Path where left/right columns are floating point decimals instead of integers and encode the path information. Bridge Table (a.k.a. Closure Table: some good ideas about how to use triggers for maintaining this approach) Columns: ancestor, descendant Stands apart from table it describes. Can include some nodes in more than one hierarchy. Cheap ancestry and descendants (albeit not in what order) For complete knowledge of a hierarchy needs to be combined with another option. Flat Table A modification of the Adjacency List that adds a Level and Rank (e.g. ordering) column to each record. Expensive move and delete Cheap ancestry and descendants Good Use: threaded discussion - forums / blog comments Lineage Column (a.k.a. Materialized Path, Path Enumeration) Column: lineage (e.g. /parent/child/grandchild/etc...) Limit to how deep the hierarchy can be. Descendants cheap (e.g. LEFT(lineage, #) = '/enumerated/path') Ancestry tricky (database specific queries) Database Specific Notes MySQL Use session variables for Adjacency List Oracle Use CONNECT BY to traverse Adjacency Lists PostgreSQL ltree datatype for Materialized Path SQL Server General summary 2008 offers HierarchyId data type appears to help with Lineage Column approach and expand the depth that can be represented.

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  • MDX needs a function or macro syntax

    - by Darren Gosbell
    I was having an interesting discussion with a few people about the impact of named sets on performance (the same discussion noted by Chris Webb here: http://cwebbbi.wordpress.com/2011/03/16/referencing-named-sets-in-calculations). And apparently the core of the performance issue comes down to the way named sets are materialized within the SSAS engine. Which lead me to the thought that what we really need is a syntax for declaring a non-materialized set or to take this even further a way of declaring an MDX expression as function or macro so that it can be re-used in multiple places. Because sometimes you do want the set materialised, such as when you use an ordered set for calculating rankings. But a lot of the time we just want to make our MDX modular and want to avoid having to repeat the same code over and over. I did some searches on connect and could not find any similar suggestions so I posted one here: https://connect.microsoft.com/SQLServer/feedback/details/651646/mdx-macro-or-function-syntax Although apparently I did not search quite hard enough as Chris Webb made a similar suggestion some time ago, although he also included a request for true MDX stored procedures (not the .Net style stored procs that we have at the moment): https://connect.microsoft.com/SQLServer/feedback/details/473694/create-parameterised-queries-and-functions-on-the-server Chris also pointed out this post that he did last year http://cwebbbi.wordpress.com/2010/09/13/iccube/ where he pointed out that the icCube product already has this sort of functionality. So if you think either or both of these suggestions is a good idea then I would encourage you to click on the links and vote for them.

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  • ArchBeat Link-o-Rama for 2012-06-27

    - by Bob Rhubart
    Resource Kit: Oracle Exadata for the Communications industry In addition to several customer case studies, in video and white paper formats, this resource kit also includes a technical overview of Oracle Exadata Database Machine and a product datasheet. Registration is required for those who don't already have a free Oracle.com membership account. Call for Nominations: Oracle Fusion Middleware Innovation Awards 2012 - Win a free pass to #OOW12 These awards honor customers for their cutting-edge solutions using Oracle Fusion Middleware. Either a customer, their partner, or an Oracle representative can submit the nomination form on behalf of the customer. Submission deadline: July 17. Winners receive a free pass to Oracle OpenWorld 2012 in San Francisco. BPM – Disable DBMS job to refresh B2B Materialized View | Mark Nelson "If you are running BPM and you are not using B2B, you might want to disable the DBMS job that refreshes the B2B materialized view," says Fusion Middleware A-Team blogger Mark Nelson. Learn how in his short post. A Universal JMX Client for Weblogic –Part 1: Monitoring BPEL Thread Pools in SOA 11g | Stefan Koser A concise how-to from Oracle Fusion Middleware A-Team blogger Stefan Koser. Thought for the Day "There are two ways of constructing a software design: One way is to make it so simple that there are obviously no deficiencies, and the other way is to make it so complicated that there are no obvious deficiencies. The first method is far more difficult." — C. A. R. Hoare Source: SoftwareQuotes.com/

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  • Get Started with .Net and Apache Cassandra

    - by Sazzad Hossain
    Just came across a easy and nice to read article explaining how to get started with noSQL database system. These no relational databases are getting increasingly popular to tackle the distribution and large data set problems.Cassandra's ColumnFamily data model offers the convenience of column indexes with the performance of log-structured updates, strong support for materialized views, and powerful built-in caching.The article is nicely written by Kellabyte  and shows step by step process how to get going with the programming in a .net platform.Read more here.

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  • Oracle as a Data Source

    This article takes a quick look at Oracle database's materialized view and extends the concept of that feature to a case where Oracle is the data source for another relational database management system.

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  • Oracle Magazine, March/April 2005

    Oracle Magazine March/April 2005 features articles on managing unstructured content, cooridinating business processes, Oracle's Austin Data Center, starting with Oracle ADF, Oracle XML Data Synthesis, SQL analytics, using materialized views, and much more.

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  • Product Catalog Schema design

    - by FlySwat
    I'm building a proof of concept schema for a product catalog to possibly replace a very aging and crufty one we use. In our business, we sell both physical materials and services (one time and reoccurring charges). The current catalog schema has each distinct category broken out into individual tables, while this is nicely normalized and performs well, it is fairly difficult to extend. Adding a new attribute to a particular product involves changing the table schema and backpopulating old data. An idea I've been toying with has been something along the line of a base set of entity tables in 3rd normal form, these will contain the facts that are common among ALL products. Then, I'd like to build an Attribute-Entity-Value schema that allows each entity type to be extended in a flexible way using just data and no schema changes. Finally, I'd like to denormalize this data model into materialized views for each individual entity type. This views are what the application would access. We also have many tables that contain business rules and compatibility rules. These would join against the base entity tables instead of the views. My big concerns here are: Performance - Attribute-Entity-Value schemas are flexible, but typically perform poorly, should I be concerned? More Performance - Denormalizing using materialized views may have some risks, I'm not positive on this yet. Complexity - While this schema is flexible and maintainable using just data, I worry that the complexity of the design might make future schema changes difficult. For those who have designed product catalogs for large scale enterprises, am I going down the totally wrong path? Is there any good best practice schema design reading available for product catalogs?

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  • Best way to enforce inter-table constraints inside database

    - by FerranB
    I looking for the best way to check for inter-table constraints an step forward of foreing keys. For instance, to check if a date child record value is between a range date on two parent rows columns. For instance: Parent table ID DATE_MIN DATE_MAX ----- ---------- ---------- 1 01/01/2009 01/03/2009 ... Child table PARENT_ID DATE ---------- ---------- 1 01/02/2009 1 01/12/2009 <--- HAVE TO FAIL! ... I see two approaches: Create materialized views on-commit as shown in this article (or other equivalent on other RDBMS). Use stored-procedures and triggers. Any other approach? Which is the best option? UPDATE: The motivation of this question is not about "putting the constraints on database or on application". I think this is a tired question and anyone does the way she loves. And, I'm sorry for detractors, I'm developing with constraints on database. From here, the question is "which is the best option to manage inter-table constraints on database?". I'm added "inside database" on the question title. UPDATE 2: Some one added the "oracle" tag. Of course materialized views are oracle-tools but I'm interested on any option regardless it's on oracle or others RDBMSs.

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