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• Multi-tenancy - single database vs multiple database

  - by RichardW1001

  We have a number of clients, whose systems share some functionality, but also have quite a degree of diversity. The number of clients is growing - always a healthy thing! - and the diversity between their businesses is also increasing. At present there is a single ASP.Net (Web Forms) Web Site (as opposed to web project), which has sub-folders for each tenant, with that tenant's non-standard pages. There is a separate model project, which deals with database access and business logic. Which is preferable - and most importantly, why - between having (a) 1 database per client, with only the features associated with that client; or (b) a single database shared by all clients, where only a subset of tables are used by any one client. The main concerns within the business are over: maintenance of multiple assets - backups, version control and the like promoting re-use as much as possible How would you ensure these concerns are addressed, which solution is preferable, and why? (I have been also compiling responses to similar questions)

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• How to remove MySQL completely with config and library files on ubuntu 12.04 gnome 3.0

  - by codeartist

  I tried everything till now: sudo apt-get remove mysql-server mysql-client mysql-common sudo apt-get purge mysql-server mysql-client mysql-common sudo apt-get autoremove and even more commands... But whenever I am trying to locate mysql. I get a no. of files related to mysql command: shell>> locate mysql Output: /etc/mysql /etc/apparmor.d/usr.sbin.mysqld /etc/apparmor.d/abstractions/mysql /etc/apparmor.d/cache/usr.sbin.mysqld /etc/apparmor.d/cache/usr.sbin.mysqld-akonadi /etc/apparmor.d/local/usr.sbin.mysqld /etc/bash_completion.d/mysqladmin /etc/init/mysql.conf /etc/logcheck/ignore.d.paranoid/mysql-server-5_5 /etc/logcheck/ignore.d.server/mysql-server-5_5 /etc/logcheck/ignore.d.workstation/mysql-server-5_5 /etc/logrotate.d/mysql-server /etc/mysql/conf.d /etc/mysql/debian-start /etc/mysql/debian.cnf /etc/mysql/conf.d/mysqld_safe_syslog.cnf /home/pkr/.mysql_history /home/pkr/.cache/software-center/piston-helper/rec.ubuntu.com,api,1.0,recommend_app,libqt4-sql-mysql,,349051c3a57da571aa832adb39177aff /home/pkr/.cache/software-center/piston-helper/rec.ubuntu.com,api,1.0,recommend_app,mysql-client,,cbf77a486cdc80547317981a33144427 /home/pkr/.cache/software-center/piston-helper/rec.ubuntu.com,api,1.0,recommend_app,mysql-client,,de8220dee4d957a9502caa79e8d2fdda /home/pkr/.cache/software-center/rnrclient/reviews.ubuntu.com,reviews,api,1.0,reviews,filter,en,any,any,any,libqt4-sql-mysql,page,1,helpful,,17fb2e657321dc51526ee8fe9928da30 /home/pkr/.cache/software-center/rnrclient/reviews.ubuntu.com,reviews,api,1.0,reviews,filter,en,any,any,any,mysql-client,page,1,helpful,,a4c1b6e8200f36ab5745c6f81f14da0a /home/pkr/.cache/software-center/rnrclient/reviews.ubuntu.com,reviews,api,1.0,reviews,filter,en,ubuntu,oneiric,any,libqt4-sql-mysql,page,1,helpful,,c54295fb82b8183350cd34f22c3547ef /home/pkr/.cache/software-center/rnrclient/reviews.ubuntu.com,reviews,api,1.0,reviews,filter,en,ubuntu,oneiric,any,mysql-client,page,1,helpful,,fcf201c1abff3f774af89173a84de2cc /home/pkr/.cache/software-center/rnrclient/reviews.ubuntu.com,reviews,api,1.0,reviews,filter,en,ubuntu,precise,any,libqt4-sql-mysql,page,1,helpful,,0cd86648584efeccfb16119012f89540 /home/pkr/.cache/software-center/rnrclient/reviews.ubuntu.com,reviews,api,1.0,reviews,filter,en,ubuntu,precise,any,mysql-client,page,1,helpful,,eb84724e9da7851ff8862a227d8bac59 /home/pkr/.local/share/akonadi/mysql.conf /home/pkr/.local/share/akonadi/db_data/mysql /home/pkr/.local/share/akonadi/db_data/mysql.err /home/pkr/.local/share/akonadi/db_data/mysql.err.old /home/pkr/.local/share/akonadi/db_data/mysql/columns_priv.MYD /home/pkr/.local/share/akonadi/db_data/mysql/columns_priv.MYI /home/pkr/.local/share/akonadi/db_data/mysql/columns_priv.frm /home/pkr/.local/share/akonadi/db_data/mysql/db.MYD /home/pkr/.local/share/akonadi/db_data/mysql/db.MYI /home/pkr/.local/share/akonadi/db_data/mysql/db.frm /home/pkr/.local/share/akonadi/db_data/mysql/event.MYD /home/pkr/.local/share/akonadi/db_data/mysql/event.MYI /home/pkr/.local/share/akonadi/db_data/mysql/event.frm /home/pkr/.local/share/akonadi/db_data/mysql/func.MYD /home/pkr/.local/share/akonadi/db_data/mysql/func.MYI /home/pkr/.local/share/akonadi/db_data/mysql/func.frm /home/pkr/.local/share/akonadi/db_data/mysql/general_log.CSM /home/pkr/.local/share/akonadi/db_data/mysql/general_log.CSV /home/pkr/.local/share/akonadi/db_data/mysql/general_log.frm /home/pkr/.local/share/akonadi/db_data/mysql/help_category.MYD /home/pkr/.local/share/akonadi/db_data/mysql/help_category.MYI /home/pkr/.local/share/akonadi/db_data/mysql/help_category.frm /home/pkr/.local/share/akonadi/db_data/mysql/help_keyword.MYD /home/pkr/.local/share/akonadi/db_data/mysql/help_keyword.MYI /home/pkr/.local/share/akonadi/db_data/mysql/help_keyword.frm /home/pkr/.local/share/akonadi/db_data/mysql/help_relation.MYD /home/pkr/.local/share/akonadi/db_data/mysql/help_relation.MYI /home/pkr/.local/share/akonadi/db_data/mysql/help_relation.frm /home/pkr/.local/share/akonadi/db_data/mysql/help_topic.MYD /home/pkr/.local/share/akonadi/db_data/mysql/help_topic.MYI /home/pkr/.local/share/akonadi/db_data/mysql/help_topic.frm /home/pkr/.local/share/akonadi/db_data/mysql/host.MYD /home/pkr/.local/share/akonadi/db_data/mysql/host.MYI /home/pkr/.local/share/akonadi/db_data/mysql/host.frm /home/pkr/.local/share/akonadi/db_data/mysql/ndb_binlog_index.MYD /home/pkr/.local/share/akonadi/db_data/mysql/ndb_binlog_index.MYI /home/pkr/.local/share/akonadi/db_data/mysql/ndb_binlog_index.frm /home/pkr/.local/share/akonadi/db_data/mysql/plugin.MYD /home/pkr/.local/share/akonadi/db_data/mysql/plugin.MYI /home/pkr/.local/share/akonadi/db_data/mysql/plugin.frm /home/pkr/.local/share/akonadi/db_data/mysql/proc.MYD /home/pkr/.local/share/akonadi/db_data/mysql/proc.MYI /home/pkr/.local/share/akonadi/db_data/mysql/proc.frm /home/pkr/.local/share/akonadi/db_data/mysql/procs_priv.MYD /home/pkr/.local/share/akonadi/db_data/mysql/procs_priv.MYI /home/pkr/.local/share/akonadi/db_data/mysql/procs_priv.frm /home/pkr/.local/share/akonadi/db_data/mysql/proxies_priv.MYD /home/pkr/.local/share/akonadi/db_data/mysql/proxies_priv.MYI /home/pkr/.local/share/akonadi/db_data/mysql/proxies_priv.frm /home/pkr/.local/share/akonadi/db_data/mysql/servers.MYD /home/pkr/.local/share/akonadi/db_data/mysql/servers.MYI /home/pkr/.local/share/akonadi/db_data/mysql/servers.frm /home/pkr/.local/share/akonadi/db_data/mysql/slow_log.CSM /home/pkr/.local/share/akonadi/db_data/mysql/slow_log.CSV /home/pkr/.local/share/akonadi/db_data/mysql/slow_log.frm /home/pkr/.local/share/akonadi/db_data/mysql/tables_priv.MYD /home/pkr/.local/share/akonadi/db_data/mysql/tables_priv.MYI /home/pkr/.local/share/akonadi/db_data/mysql/tables_priv.frm /home/pkr/.local/share/akonadi/db_data/mysql/time_zone.MYD /home/pkr/.local/share/akonadi/db_data/mysql/time_zone.MYI /home/pkr/.local/share/akonadi/db_data/mysql/time_zone.frm /home/pkr/.local/share/akonadi/db_data/mysql/time_zone_leap_second.MYD /home/pkr/.local/share/akonadi/db_data/mysql/time_zone_leap_second.MYI /home/pkr/.local/share/akonadi/db_data/mysql/time_zone_leap_second.frm /home/pkr/.local/share/akonadi/db_data/mysql/time_zone_name.MYD /home/pkr/.local/share/akonadi/db_data/mysql/time_zone_name.MYI /home/pkr/.local/share/akonadi/db_data/mysql/time_zone_name.frm /home/pkr/.local/share/akonadi/db_data/mysql/time_zone_transition.MYD /home/pkr/.local/share/akonadi/db_data/mysql/time_zone_transition.MYI /home/pkr/.local/share/akonadi/db_data/mysql/time_zone_transition.frm /home/pkr/.local/share/akonadi/db_data/mysql/time_zone_transition_type.MYD /home/pkr/.local/share/akonadi/db_data/mysql/time_zone_transition_type.MYI /home/pkr/.local/share/akonadi/db_data/mysql/time_zone_transition_type.frm /home/pkr/.local/share/akonadi/db_data/mysql/user.MYD /home/pkr/.local/share/akonadi/db_data/mysql/user.MYI /home/pkr/.local/share/akonadi/db_data/mysql/user.frm /usr/bin/mysql /usr/bin/mysql_install_db /usr/bin/mysql_upgrade /usr/bin/mysqlcheck /usr/sbin/mysqld /usr/share/mysql /usr/share/app-install/desktop/gmysqlcc:gmysqlcc.desktop /usr/share/app-install/desktop/mysql-client.desktop /usr/share/app-install/desktop/mysql-navigator:mysql-navigator.desktop /usr/share/app-install/desktop/mysql-server.desktop /usr/share/app-install/icons/gmysqlcc-32.png /usr/share/app-install/icons/mysql-navigator.png /usr/share/doc/mysql-client-core-5.5 /usr/share/doc/mysql-server-core-5.5 /usr/share/kde4/apps/katepart/syntax/sql-mysql.xml /usr/share/man/man1/mysql.1.gz /usr/share/man/man1/mysql_install_db.1.gz /usr/share/man/man1/mysql_upgrade.1.gz /usr/share/man/man1/mysqlcheck.1.gz /usr/share/man/man8/mysqld.8.gz /var/cache/apt/archives/akonadi-backend-mysql_1.7.2-0ubuntu1_all.deb /var/cache/apt/archives/libmysqlclient-dev_5.5.22-0ubuntu1_i386.deb /var/cache/apt/archives/libmysqlclient18_5.5.22-0ubuntu1_i386.deb /var/cache/apt/archives/libqt4-sql-mysql_4%3a4.8.1-0ubuntu4.1_i386.deb /var/cache/apt/archives/mysql-client-5.5_5.5.22-0ubuntu1_i386.deb /var/cache/apt/archives/mysql-client-core-5.5_5.5.22-0ubuntu1_i386.deb /var/cache/apt/archives/mysql-client_5.5.22-0ubuntu1_all.deb /var/cache/apt/archives/mysql-common_5.5.22-0ubuntu1_all.deb /var/cache/apt/archives/mysql-server-5.5_5.5.22-0ubuntu1_i386.deb /var/cache/apt/archives/mysql-server-core-5.5_5.5.22-0ubuntu1_i386.deb /var/cache/apt/archives/mysql-server_5.5.22-0ubuntu1_all.deb /var/lib/dpkg/info/mysql-client-core-5.5.list /var/lib/dpkg/info/mysql-client-core-5.5.md5sums /var/lib/dpkg/info/mysql-server-5.5.list /var/lib/dpkg/info/mysql-server-5.5.postrm /var/lib/dpkg/info/mysql-server-core-5.5.list /var/lib/dpkg/info/mysql-server-core-5.5.md5sums /var/log/mysql /var/log/mysql.err /var/log/mysql.log /var/log/mysql.log.1.gz /var/log/mysql.log.2.gz /var/log/mysql.log.3.gz /var/log/mysql.log.4.gz /var/log/mysql.log.5.gz /var/log/mysql.log.6.gz /var/log/mysql.log.7.gz /var/log/upstart/mysql.log.1.gz /var/log/upstart/mysql.log.2.gz /var/log/upstart/mysql.log.3.gz /var/log/upstart/mysql.log.4.gz /var/log/upstart/mysql.log.5.gz /var/log/upstart/mysql.log.6.gz /var/log/upstart/mysql.log.7.gz What should I do now? Please help me out in this :( I was trying to find out if there is any way I can remove mysql related every file and then reinstall mysql. I need it for Qt connectivity. I don't understand what to do! Please help :(

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• Data Modeling: Logical Modeling Exercise

  - by swisscheese

  In trying to learn the art of data storage I have been trying to take in as much solid information as possible. PerformanceDBA posted some really helpful tutorials/examples in the following posts among others: is my data normalized? and Relational table naming convention. I already asked a subset question of this model here. So to make sure I understood the concepts he presented and I have seen elsewhere I wanted to take things a step or two further and see if I am grasping the concepts. Hence the purpose of this post, which hopefully others can also learn from. Everything I present is conceptual to me and for learning rather than applying it in some production system. It would be cool to get some input from PerformanceDBA also since I used his models to get started, but I appreciate all input given from anyone. As I am new to databases and especially modeling I will be the first to admit that I may not always ask the right questions, explain my thoughts clearly, or use the right verbage due to lack of expertise on the subject. So please keep that in mind and feel free to steer me in the right direction if I head off track. If there is enough interest in this I would like to take this from the logical to physical phases to show the evolution of the process and share it here on Stack. I will keep this thread for the Logical Diagram though and start new one for the additional steps. For my understanding I will be building a MySQL DB in the end to run some tests and see if what I came up with actually works. Here is the list of things that I want to capture in this conceptual model. Edit for V1.2 The purpose of this is to list Bands, their members, and the Events that they will be appearing at, as well as offer music and other merchandise for sale Members will be able to match up with friends Members can write reviews on the Bands, their music, and their events. There can only be one review per member on a given item, although they can edit their reviews and history will be maintained. BandMembers will have the chance to write a single Comment on Reviews about the Band they are associated with. Collectively as a Band only one Comment is allowed per Review. Members can then rate all Reviews and Comments but only once per given instance Members can select their favorite Bands, music, Merchandise, and Events Bands, Songs, and Events will be categorized into the type of Genre that they are and then further subcategorized into a SubGenre if necessary. It is ok for a Band or Event to fall into more then one Genre/SubGenre combination. Event date, time, and location will be posted for a given band and members can show that they will be attending the Event. An Event can be comprised of more than one Band, and multiple Events can take place at a single location on the same day Every party will be tied to at least one address and address history shall be maintained. Each party could also be tied to more then one address at a time (i.e. billing, shipping, physical) There will be stored profiles for Bands, BandMembers, and general members. So there it is, maybe a bit involved but could be a great learning tool for many hopefully as the process evolves and input is given by the community. Any input? EDIT v1.1 In response to PerformanceDBA U.3) That means no merchandise other than Band merchandise in the database. Correct ? That was my original thought but you got me thinking. Maybe the site would want to sell its own merchandise or even other merchandise from the bands. Not sure a mod to make for that. Would it require an entire rework of the Catalog section or just the identifying relationship that exists with the Band? Attempted a mod to sell both complete albums or song. Either way they would both be in electronic format only available for download. That is why I listed an Album as being comprised of Songs rather then 2 separate entities. U.5) I understand what you bring up about the circular relation with Favorite. I would like to get to this “It is either one Entity with some form of differentiation (FavoriteType) which identifies its treatment” but how to is not clear to me. What am I missing here? u.6) “Business Rules This is probably the only area you are weak in.” Thanks for the honest response. I will readdress these but I hope to clear up some confusion in my head first with the responses I have posted back to you. Q.1) Yes I would like to have Accepted, Rejected, and Blocked. I am not sure what you are referring to as to how this would change the logical model? Q.2) A person does not have to be a User. They can exist only as a BandMember. Is that what you are asking? Minor Issue Zero, One, or More…Oops I admit I forgot to give this attention when building the model. I am submitting this version as is and will address in a future version. I need to read up more on Constraint Checking to make sure I am understanding things. M.4) Depends if you envision OrderPurchase in the future. Can you expand as to what you mean here? EDIT V1.2 In response to PerformanceDBA input... Lessons learned. I was mixing the concept of Identifying / Non-Identifying and Cardinality (i.e. Genre / SubGenre), and doing so inconsistently to make things worse. Associative Tables are not required in Logical Diagrams as their many-to-many relationships can be depicted and then expanded in the Physical Model. I was overlooking the Cardinality in a lot of the relationships The importance of reading through relationships using effective Verb Phrases to reassure I am modeling what I want to accomplish. U.2) In the concept of this model it is only required to track a Venue as a location for an Event. No further data needs to be collected. With that being said Events will take place on a given EventDate and will be hosted at a Venue. Venues will host multiple events and possibly multiple events on a given date. In my new model my thinking was that EventDate is already tied to Event . Therefore, Venue will not need a relationship with EventDate. The 5th and 6th bullets you have listed under U.2) leave me questioning my thinking though. Am I missing something here? U.3) Is it time to move the link between Item and Band up to Item and Party instead? With the current design I don't see a possibility to sell merchandise not tied to the band as you have brought up. U.5) I left as per your input rather than making it a discrete Supertype/Subtype Relationship as I don’t see a benefit of having that type of roll up. Additional Revisions AR.1) After going through the exercise for FavoriteItem, I feel that Item to Review requires a many-to-many relationship so that is indicated. Necessary? Ok here we go for v1.3 I took a few days on this version, going back and forth with my design. Once the logical process is complete, as I want to see if I am on the right track, I will go through in depth what I had learned and the troubles I faced as a beginner going through this process. The big point for this version was it took throwing in some Keys to help see what I was missing in the past. Going through the process of doing a matrix proved to be of great help also. Regardless of anything, if it wasn't for the input given by PerformanceDBA I would still be a lost soul wondering in the dark. Who knows my current design might reaffirm that I still am, but I have learned a lot so I am know I at least have a flashlight in my hand. At this point in time I admit that I am still confused about identifying and non-identifying relationships. In my model I had to use non-identifying relationships with non nulls just to join the relationships I wanted to model. In reading a lot on the subject there seems to be a lot of disagreement and indecisiveness on the subject so I did what I thought represented the right things in my model. When to force (identifying) and when to be free (non-identifying)? Anyone have inputs? EDIT V1.4 Ok took the V1.3 inputs and cleaned things up for this V1.4 Currently working on a V1.5 to include attributes.

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• Local Search Engine Optimization - Why Use Local SEO?

  Local search engine optimization is the new optimization technique to help improve ones local efforts in your hometown or local areas a business does business. Local SEO is more useful for companies trying to gain new business within a smaller target range of 5-15 miles sometimes less sometimes more depending on the products or services one might provide to consumers. Local Search Engine Optimization and Normal Search Engine Optimization differs so hiring someone who specializes in local SEO is very important.

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• Very large database, very small portion most being retrieved in real time

  - by mingyeow

  Hi folks, I have an interesting database problem. I have a DB that is 150GB in size. My memory buffer is 8GB. Most of my data is rarely being retrieved, or mainly being retrieved by backend processes. I would very much prefer to keep them around because some features require them. Some of it (namely some tables, and some identifiable parts of certain tables) are used very often in a user facing manner How can I make sure that the latter is always being kept in memory? (there is more than enough space for these) More info: We are on Ruby on rails. The database is MYSQL, our tables are stored using INNODB. We are sharding the data across 2 partitions. Because we are sharding it, we store most of our data using JSON blobs, while indexing only the primary keys

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• EBS + 11g Database Upgrade Best Practices Whitepaper Available

  - by Steven Chan

  I returned from OAUG/Collaborate with a cold and multiple overlapping development crises.  Fun.  Now that those are (mostly) out of the way, it's time to get back to clearing out my article backlog.  Premier Support for the 10gR2 database ends in July 2010.  If you haven't already started planning your 11g database upgrade, we recommend that you start soon.  We have certified both the 11gR1 (11.1.0.7) and 11gR2 (11.2.0.1) databases with Oracle E-Business Suite; see this blog's Certification summary to links to articles with the details.Our Applications Performance Group has reminded me that they have a whitepaper loaded with practical tips intended to make your 11g database upgrade easier.  No vacuous marketing rhetoric here -- this is strictly written for DBAs.  A must-read if you haven't already upgraded to either 11gR1 or 11gR2, and highly recommended even if you have.  You can download this whitepaper here:Upgrade to 11g Performance Best Practices (PDF, 184K)

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• Database Table Prefixes

  - by DoctorMick

  We're having a few discussions at work around the naming of our database tables. We're working on a large application with approx 100 database tables (ok, so it isn't that large), most of which can be categorized in to different functional area, and we're trying to work out the best way of naming/organizing these within an Oracle database. The three current options are: Create the different functional areas in separate schemas. Create everything in the same schema but prefix the tables with the functional area Create everything in the same schema with no prefixes We have various pro's and con's around each one but I'd be interested to hear everyone's opinions on what the best solution is.

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• DB2 upgrade database Fails due to descriptor corruption

  - by Jdcc

  Hi Everyone, I've recently upgraded my DB2 9.5 to DB2 9.7, and I am unable to update my database to v9.7. The error I have been receiving is this: "SQL0901N The SQL statement failed because of a non-severe system error. Subsequent SQL statements can be processed. (Reason "Packed descriptor corruption found. Please run RUNSTATS on this table".) SQLSTATE=58004" I have tried to connect with 9.5 clients that worked before the "upgrade" on other machines, but they complain about the DB not being migrated to the current version. So my DB is now somewhere in limbo between 9.5 and 9.7. Would anyone have any clever ideas on how to execute runstats on this DB without being able to connect to it? I'm not concerned so much about the data inside, as I am about the settings (name,optimization stuff, etc) Please let me know if I there is any information I left out. Thanks, Jdcc

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• extreme slowness with a remote database in Drupal

  - by ceejayoz

  We're attempting to scale our Drupal installations up and have decided on some dedicated MySQL boxes. Unfortunately, we're running into extreme slowness when we attempt to use the remote DB - page load times go from ~200 milliseconds to 5-10 seconds. Latency between the servers is minimal - a tenth or two of a millisecond. PING 10.37.66.175 (10.37.66.175) 56(84) bytes of data. 64 bytes from 10.37.66.175: icmp_seq=1 ttl=64 time=0.145 ms 64 bytes from 10.37.66.175: icmp_seq=2 ttl=64 time=0.157 ms 64 bytes from 10.37.66.175: icmp_seq=3 ttl=64 time=0.157 ms 64 bytes from 10.37.66.175: icmp_seq=4 ttl=64 time=0.144 ms 64 bytes from 10.37.66.175: icmp_seq=5 ttl=64 time=0.121 ms 64 bytes from 10.37.66.175: icmp_seq=6 ttl=64 time=0.122 ms 64 bytes from 10.37.66.175: icmp_seq=7 ttl=64 time=0.163 ms 64 bytes from 10.37.66.175: icmp_seq=8 ttl=64 time=0.115 ms 64 bytes from 10.37.66.175: icmp_seq=9 ttl=64 time=0.484 ms 64 bytes from 10.37.66.175: icmp_seq=10 ttl=64 time=0.156 ms --- 10.37.66.175 ping statistics --- 10 packets transmitted, 10 received, 0% packet loss, time 8998ms rtt min/avg/max/mdev = 0.115/0.176/0.484/0.104 ms Drupal's devel.module timers show the database queries aren't running any slower on the remote DB - about 150 microseconds whether it's the local or the remote server. Profiling with XHProf shows PHP execution times that aren't out of whack, either. Number of queries doesn't seem to make a difference - we seem the same 5-10 second delay whether a page has 12 queries or 250. Any suggestions about where I should start troubleshooting here? I'm quite confused.

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• SQL SERVER – 2008 – Introduction to Snapshot Database – Restore From Snapshot

  - by pinaldave

  Snapshot database is one of the most interesting concepts that I have used at some places recently. Here is a quick definition of the subject from Book On Line: A Database Snapshot is a read-only, static view of a database (the source database). Multiple snapshots can exist on a source database and can always reside on the same server instance as the database. Each database snapshot is consistent, in terms of transactions, with the source database as of the moment of the snapshot’s creation. A snapshot persists until it is explicitly dropped by the database owner. If you do not know how Snapshot database work, here is a quick note on the subject. However, please refer to the official description on Book-on-Line for accuracy. Snapshot database is a read-only database created from an original database called the “source database”. This database operates at page level. When Snapshot database is created, it is produced on sparse files; in fact, it does not occupy any space (or occupies very little space) in the Operating System. When any data page is modified in the source database, that data page is copied to Snapshot database, making the sparse file size increases. When an unmodified data page is read in the Snapshot database, it actually reads the pages of the original database. In other words, the changes that happen in the source database are reflected in the Snapshot database. Let us see a simple example of Snapshot. In the following exercise, we will do a few operations. Please note that this script is for demo purposes only- there are a few considerations of CPU, DISK I/O and memory, which will be discussed in the future posts. Create Snapshot Delete Data from Original DB Restore Data from Snapshot First, let us create the first Snapshot database and observe the sparse file details. USE master GO -- Create Regular Database CREATE DATABASE RegularDB GO USE RegularDB GO -- Populate Regular Database with Sample Table CREATE TABLE FirstTable (ID INT, Value VARCHAR(10)) INSERT INTO FirstTable VALUES(1, 'First'); INSERT INTO FirstTable VALUES(2, 'Second'); INSERT INTO FirstTable VALUES(3, 'Third'); GO -- Create Snapshot Database CREATE DATABASE SnapshotDB ON (Name ='RegularDB', FileName='c:\SSDB.ss1') AS SNAPSHOT OF RegularDB; GO -- Select from Regular and Snapshot Database SELECT * FROM RegularDB.dbo.FirstTable; SELECT * FROM SnapshotDB.dbo.FirstTable; GO Now let us see the resultset for the same. Now let us do delete something from the Original DB and check the same details we checked before. -- Delete from Regular Database DELETE FROM RegularDB.dbo.FirstTable; GO -- Select from Regular and Snapshot Database SELECT * FROM RegularDB.dbo.FirstTable; SELECT * FROM SnapshotDB.dbo.FirstTable; GO When we check the details of sparse file created by Snapshot database, we will find some interesting details. The details of Regular DB remain the same. It clearly shows that when we delete data from Regular/Source DB, it copies the data pages to Snapshot database. This is the reason why the size of the snapshot DB is increased. Now let us take this small exercise to  the next level and restore our deleted data from Snapshot DB to Original Source DB. -- Restore Data from Snapshot Database USE master GO RESTORE DATABASE RegularDB FROM DATABASE_SNAPSHOT = 'SnapshotDB'; GO -- Select from Regular and Snapshot Database SELECT * FROM RegularDB.dbo.FirstTable; SELECT * FROM SnapshotDB.dbo.FirstTable; GO -- Clean up DROP DATABASE [SnapshotDB]; DROP DATABASE [RegularDB]; GO Now let us check the details of the select statement and we can see that we are successful able to restore the database from Snapshot Database. We can clearly see that this is a very useful feature in case you would encounter a good business that needs it. I would like to request the readers to suggest more details if they are using this feature in their business. Also, let me know if you think it can be potentially used to achieve any tasks. Complete Script of the afore- mentioned operation for easy reference is as follows: USE master GO -- Create Regular Database CREATE DATABASE RegularDB GO USE RegularDB GO -- Populate Regular Database with Sample Table CREATE TABLE FirstTable (ID INT, Value VARCHAR(10)) INSERT INTO FirstTable VALUES(1, 'First'); INSERT INTO FirstTable VALUES(2, 'Second'); INSERT INTO FirstTable VALUES(3, 'Third'); GO -- Create Snapshot Database CREATE DATABASE SnapshotDB ON (Name ='RegularDB', FileName='c:\SSDB.ss1') AS SNAPSHOT OF RegularDB; GO -- Select from Regular and Snapshot Database SELECT * FROM RegularDB.dbo.FirstTable; SELECT * FROM SnapshotDB.dbo.FirstTable; GO -- Delete from Regular Database DELETE FROM RegularDB.dbo.FirstTable; GO -- Select from Regular and Snapshot Database SELECT * FROM RegularDB.dbo.FirstTable; SELECT * FROM SnapshotDB.dbo.FirstTable; GO -- Restore Data from Snapshot Database USE master GO RESTORE DATABASE RegularDB FROM DATABASE_SNAPSHOT = 'SnapshotDB'; GO -- Select from Regular and Snapshot Database SELECT * FROM RegularDB.dbo.FirstTable; SELECT * FROM SnapshotDB.dbo.FirstTable; GO -- Clean up DROP DATABASE [SnapshotDB]; DROP DATABASE [RegularDB]; GO Reference : Pinal Dave (http://blog.SQLAuthority.com) Filed under: SQL, SQL Authority, SQL Backup and Restore, SQL Data Storage, SQL Query, SQL Server, SQL Tips and Tricks, SQLServer, T SQL, Technology

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• Create my own database system

  - by Xananax

  Ok so before I get bashed: I know it's something huge for one person; I don't care if the end product can actually be used or not. I need to learn how databases work in order to use them more efficiently, and my way of learning is by doing. So I want to create my own database system. I am not referring to creating a pseudo-database that would use query to parse files; this would simply be a filesystem interface with a query language. I am talking about the actual structure of a database engine. And since what I have in mind is neither relational nor document-oriented (it's "node-oriented", if that even exists), I would need any resource to be as abstract and high-level as possible. So how would I go about creating that? What resources/tutorials/books can I read to understand? The language does not matter in the slightest. Ideally, the code would be pseudo-code to illustrate the concept, not tied to a particular language, but anything would do. I was not able to find anything on the matter on google (since I am so illiterate on the subject, maybe I am just not entering the right search). If such resources are not available, then I guess something about how to create a client would at least be a step in the right direction.

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• Partner Webcast – More out of Database Appliance with DB Options - 13 September 2012

  - by Thanos

  The Oracle Database Appliance is a new way to take advantage of the world's most popular database—Oracle Database 11g —in a single, easy-to-deploy and manage system. It's a complete package of software, server, storage, and networking that's engineered for simplicity; saving time and money by simplifying deployment, maintenance, and support of database workloads. But that is not all, with the support for all Oracle Database Options, Oracle Database Appliance can be the ideal solution for many use cases. Feature Benefit Simplifies deployment, maintenance, and support of high-availability database workloads Saves significant time and effort throughout the database administration lifecycle An engineered system of software, server, storage, and networking High availability for a wide range of custom and packaged OLTP and data warehousing application databases Simple one-button Installation, full-stack integrated patching and diagnostics Reduces planned and unplanned downtime by automatically monitoring and logging service requests with Oracle Support Built using the world’s #1 database Protects databases from server and storage failures with Oracle Real Application Clusters and Automatic Storage Management Unique Pay-As-You-Grow software licensing Reduces cost with flexibility to adjust your software spend as your business grows without the need for any hardware upgrades Discover the Oracle Database Appliance Value Proposition and learn how to position and combine it with database options to capture new business and easily roll out solutions safely and with maximum cost efficiency. This webcast is repeated once again for your benefit. Agenda: Oracle Database& Engineered Systems Innovation. What’s the Oracle Database Appliance ? Oracle Database Appliance Value Proposition. Oracle Database Appliance with Database Options Oracle Database Appliance Partners Business Delivery FormatThis FREE online LIVE eSeminar will be delivered over the Web. Registrations received less than 24hours prior to start time may not receive confirmation to attend. Duration: 1 hour Register Now! Oracle Database Appliance is available for purchase at the Oracle Store under Engineered Systems. For any questions please contact us at partner.imc-AT-beehiveonline.oracle-DOT-com Visit regularly our ISV Migration Center blog Or Follow us @oracleimc to learn more on Oracle Technologies as well as upcoming partner webcasts and events.

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• Document-oriented vs Column-oriented database fit

  - by user1007922

  I have a data-intensive application that desperately needs a database make-over. The general data model: There are records with RIDs, grouped together by group IDs (GID). The records have arbitrary data fields, (maybe 5-15) with a few of them mandatory and the rest optional, and thus sparse. The general use model: There are LOTS and LOTS of Writes. Millions to Billions of records are stored. Very often, they are associated with new GIDs, but sometimes, they are associated with existing GIDs. There aren't as many reads, but when they happen, they need to be pretty fast or at least constant speed regardless of the database size. And when the reads happen, it will need to retrieve all the records/RIDs with a certain GID. I don't have a need to search by the record field values. Primarily, I will need to query by the GID and maybe RID. What database implementation should I use? I did some initial research between document-oriented and column-oriented databases and it seems the document-oriented ones are a good fit, model-wise. I could store all the records together under the same document key using the GID. But I don't really have any use for their ability to search the document contents itself. I like the simplicity and scalability of column-oriented databases like Cassandra, but how should I model my data in this paradigm for optimal performance? Should my key be the GID and should I create a column for each record/RID? (there maybe thousands or hundreds of thousands of records in a group/GID). Or should my key be the RID and ensure each row has a column for the GID value? What results in faster writes and reads under this model?

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• Can I use access used by Visual Basic for building a database [on hold]

  - by user3413537

  I am the only programmer where I work (summer job) and I am a student with only a few years of programming experience. So I was asked to build a database and I am very excited about this project because hopefully I can learn a lot from this. Using this database my manager is supposed to be able to assign work (dealing with businesses) to different people within the company using an interface (all workers have a shared drive). When workers are done with that paperwork related to the business, they can check off that its done, add comments at the bottom of the interface, and then move on to the next business. The only experience I've had with databases is some querying with SQL, and I've built GUI interfaces with JAVA. The information on the interface will be populated from Excel so workers know what businesses they are dealing with. I've done some research and I believe the best way to build this would be building a GUI using Microsoft Visual Studio (Visual Basic) first, then figuring out a way to populate the Interface from Excel. Also because the data is pretty straight forward and not complicated I will be using MS Access to store and track the database. I know this won't be easy, but for all you geniuses out there, is this on the right path? Thanks.

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• Oracle Database 12c: Partner Material

  - by Thanos Terentes Printzios

  Oracle Database 12c offers the latest innovation from Oracle Database Server Technologies with a new Multitenant Architecture, which can help accelerate database consolidation and Cloud projects. The primary resource for Partners on Database 12c is of course the Oracle Database 12c Knowledge Zone where you can get up to speed on the latest Database 12c enhancements so you can sell, implement and support this. Resources and material on Oracle Database 12c can be found all around Oracle.com, but even hidden in AR posters like the one on the left. Here are some additional resources for you Oracle Database 12c: Interactive Quick Reference is a multimedia tool for various terms and concepts used in the Oracle Database 12c release. This reference was built as a multimedia web page which provides descriptions of the database architectural components, and references to relevant documentation. Overall, is a nice little tool which may help you quickly to find a view you are searching for or to get more information about background processes in Oracle Database 12c. Use this tool to find valuable information for any complex concept or product in an intuitive and useful manner. Oracle Database 12c Learning Library contains several technical traininings (2-day DBA, Multitenant Architecture, etc) but also Videos/Demos, Learning Paths by Role and a lot more. Get ready and become an Oracle Database 12c Specialized Partner with the Oracle Database 12c Specialization for Partners. Review the Specialization Criteria, your company status and apply for an Oracle Database 12c Specialization. Access our OPN training repository to get prepared for the exams. "Oracle Database 12c: Plug into the Cloud!"  Marketing Kit includes a great selection of assets to help Oracle partners in their marketing activities to promote solutions that leverage all the new features of Oracle Database 12c. In the package you will find assets (templates, invitation texts, presentations, telemarketing script,...) to be used for your demand generation activities; a full set of presentations with the value propositions for customers; and Sales Enablement and Sales Support material. Review here and start planning your marketing activities around Database 12c. Oracle Database 12c Quick Reference Guide (PDF) and Oracle Database 12c – Partner FAQ (PDF) Partners that need further assistance with Database 12c can always contact us at partner.imc-AT-beehiveonline.oracle-DOT-com or locally address one the Oracle ECEMEA Partner Hubs for assistance.

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• SQL SERVER – Log File Growing for Model Database – model Database Log File Grew Too Big

  - by pinaldave

  After reading my earlier article SQL SERVER – master Database Log File Grew Too Big, I received an email recently from another reader asking why does the log file of model database grow every day when he is not carrying out any operation in the model database. As per the email, he is absolutely sure that he is doing nothing on his model database; he had used policy management to catch any T-SQL operation in the model database and there were none. This was indeed surprising to me. I sent a request to access to his server, which he happily agreed for and within a min, we figured out the issue. He was taking the backup of the model database every day taking the database backup every night. When I explained the same to him, he did not believe it; so I quickly wrote down the following script. The results before and after the usage of the script were very clear. What is a model database? The model database is used as the template for all databases created on an instance of SQL Server. Any object you create in the model database will be automatically created in subsequent user database created on the server. NOTE: Do not run this in production environment. During the demo, the model database was in full recovery mode and only full backup operation was performed (no log backup). Before Backup Script Backup Script in loop DECLARE @FLAG INT SET @FLAG = 1 WHILE(@FLAG < 1000) BEGIN BACKUP DATABASE [model] TO  DISK = N'D:\model.bak' SET @FLAG = @FLAG + 1 END GO After Backup Script Why did this happen? The model database was in full recovery mode and taking full backup is logged operation. As there was no log backup and only full backup was performed on the model database, the size of the log file kept growing. Resolution: Change the backup mode of model database from “Full Recovery” to “Simple Recovery.”. Take full backup of the model database “only” when you change something in the model database. Let me know if you have encountered a situation like this? If so, how did you resolve it? It will be interesting to know about your experience. Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: Pinal Dave, PostADay, SQL, SQL Authority, SQL Backup and Restore, SQL Query, SQL Scripts, SQL Server, SQL Tips and Tricks, T SQL, Technology

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• Predicting advantages of database denormalization

  - by Janus Troelsen

  I was always taught to strive for the highest Normal Form of database normalization, and we were taught Bernstein's Synthesis algorithm to achieve 3NF. This is all very well and it feels nice to normalize your database, knowing that fields can be modified while retaining consistency. However, performance may suffer. That's why I am wondering whether there is any way to predict the speedup/slowdown when denormalizing. That way, you can build your list of FD's featuring 3NF and then denormalize as little as possible. I imagine that denormalizing too much would waste space and time, because e.g. giant blobs are duplicated or it because harder to maintain consistency because you have to update multiple fields using a transaction. Summary: Given a 3NF FD set, and a set of queries, how do I predict the speedup/slowdown of denormalization? Link to papers appreciated too.

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• Best approach for a database of long strings

  - by gsingh2011

  I need to store questions and answers in a database. The questions will be one to two sentences, but the answers will be long, at least a paragraph, likely more. The only way I know about to do this right now is an SQL database. However, I don't feel like this is a good solution because as far as I've seen, these databases aren't used for data of this type or size. Is this the correct way to go or is there a better way to store this data? Is there a better way than storing raw strings?

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• Is it necessary to create a database with as few tables as possible

  - by Shaheer

  Should we create a database structure with a minimum number of tables? Should it be designed in a way that everything stays in one place or is it okay to have more tables? Will it in anyway affect anything? I am asking this question because a friend of mine modified some database structure in mediaWiki. In the end, instead of 20 tables he was using only 8, and it took him 8 months to do that (it was his college assignment). EDIT I am concluding the answer as: size of the tables does NOT matter, until the case is exceptional; in which case the denormalization may help. Thanks to everyone for the answers.

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• ???????????I/O?SSD????!

  - by Yusuke.Yamamoto

  ????? ??:2010/11/25 ??:???? ?????????????????????I/O???????????????? Oracle Database 11g Release 2 ?????Database Smart Flash Cache?????????????????????????????????????????????????????? ???????????????????SSD????????????"?????(??)"???????????????????? Database Smart Flash Cache ???OLTP??+?????????????????OLTP??+OLTP???10????????? ????????? ????????????????? http://oracletech.jp/products/pickup/000076.html

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• storing map template in database

  - by Timigen

  I am working on an application that displays choropleth maps. These maps are of all different types, some display state by county, country by state/province, or world by country. How should I handle storing the map information in the database? My Thoughts: I won't need to do queries to find POI inside a region, so I don't think there is a need to use spatial datatypes. I am considering storing a map as a geoJSON object (I am using JS mapping library that accepts geoJSON). The only issue is what if I want a map of the US northeast. Then I would have geoJSON for the US and a separate one for the US northeast, which would be redundant. Would it make sense to have a shape database where I had each state then when I needed a map of the US I could query for each state, and when I needed a map of the US Northeast I could again query for what I need? Note: I am not concerned with storing the data for each region, just the region itself. I will query for the data on the fly for the specific region.

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• Structuring database for multi-object "activity" and "following" functionalities

  - by romaninsh

  I am working on a web application which operate with different types of objects such as user, profiles, pages etc. All objects have unique object_id. When objects interact it may produce "activity", such as user posting on the page or profile. Activity may be related to multiple objects through their object_id. Users may also follow "objects" and they need to be able to see stream of relevant activity. Could you provide me with some data structure suggestions which would be efficient and scalable? My goal is to show activity limited to the objects which user is following I am not limited by relational databases. Update As I'm getting advices on ORM and how index things, I'd like to again, stress my question. According to my current design model the database structure looks like this: As you can see - it's quite easy to implement database like that. Activity and Follower tables do contain much larger amount of records than the upper level but it's tolerable. But when it comes for me to create a "timeline" table, it becomes a nightmare. For every user I need to reference all the object activities which he follows. In terms of records it easily gets out of control. Please suggest me how to change this structure to avoid timeline creation and also be abel to quickly retrieve activity for any given user. Thanks.

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• Database Schema Usage

  - by CrazyHorse

  I have a question regarding the appropriate use of SQL Server database schemas and was hoping that some database gurus might be able to offer some guidance around best practice. Just to give a bit of background, my team has recently shrunk to 2 people and we have just been merged with another 6 person team. My team had set up a SQL Server environment running off a desktop backing up to another desktop (and nightly to the network), whilst the new team has a formal SQL Server environment, running on a dedicated server, with backups and maintenance all handled by a dedicated team. So far it's good news for my team. Now to the query. My team designed all our tables to belong to a 3-letter schema name (e.g. User = USR, General = GEN, Account = ACC) which broadly speaking relate to specific applications, although there is a lot of overlap. My new team has come from an Access background and have implemented their tables within dbo with a 3-letter perfix followed by "_tbl" so the examples above would be dbo.USR_tblTableName, dbo.GEN_tblTableName and dbo.ACC_tblTableName. Further to this, neither my old team nor my new team has gone live with their SQL Servers yet (we're both coincidentally migrating away from Access environments) and the new team have said they're willing to consider adopting our approach if we can explain how this would be beneficial. We are not anticipating handling table updates at schema level, as we will be using application-level logins. Also, with regards to the unwieldiness of the 7-character prefix, I'm not overly concerned myself as we're using LINQ almost exclusively so the tables can simply be renamed in the DMBL (although I know that presents some challenges when we update the DBML). So therefore, given that both teams need to be aligned with one another, can anyone offer any convincing arguments either way?

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• storing data for maps database

  - by Timigen

  I am working on an application that displays choropleth maps. These maps are of all different types, some display state by county, country by state/province, or world by country. How should I handle storing the map information in the database? My Thoughts: I won't need to do queries to find POI inside a region, so I don't think there is a need to use spatial datatypes. I am considering storing a map as a geoJSON object (I am using JS mapping library that accepts geoJSON). The only issue is what if I want a map of the US northeast. Then I would have geoJSON for the US and a separate one for the US northeast, which would be redundant. Would it make sense to have a shape database where I had each state then when I needed a map of the US I could query for each state, and when I needed a map of the US Northeast I could again query for what I need? Note: I am not concerned with storing the data for each region, just the region itself. I will query for the data on the fly for the specific region.

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• Oracle Database 12c: Oracle Multitenant Option

  - by hamsun

  1. Why ? 2. What is it ? 3. How ? 1. Why ? The main idea of the 'grid' is to share resources, to make better use of storage, CPU and memory. If a database administrator wishes to implement this idea, he or she must consolidate many databases to one database. One of the concerns of running many applications together in one database is: ‚what will happen, if one of the applications must be restored because of a human error?‘ Tablespace point in time recovery can be used for this purpose, but there are a few prerequisites. Most importantly the tablespaces are strictly separated for each application. Another reason for creating separated databases is security: each customer has his own database. Therefore, there is often a proliferation of smaller databases. Each of them must be maintained, upgraded, each allocates virtual memory and runs background processes thereby wasting resources. Oracle 12c offers another possibility for virtualization, providing isolation at the database level: the multitenant container database holding pluggable databases. 2. What ? Pluggable databases are logical units inside a multitenant container database, which consists of one multitenant container database and up to 252 pluggable databases. The SGA is shared as are the background processes. The multitenant container database holds metadata information common for pluggable databases inside the System and the Sysaux tablespace, and there is just one Undo tablespace. The pluggable databases have smaller System and Sysaux tablespaces, containing just their 'personal' metadata. New data dictionary views will make the information available either on pdb (dba_views) or container level (cdb_views). There are local users, which are known in specific pluggable databases and common users known in all containers. Pluggable databases can be easily plugged to another multitenant container database and converted from a non-CDB. They can undergo point in time recovery. 3. How ? Creating a multitenant container database can be done using the database configuration assistant: There you find the new option: Create as Container Database. If you prefer ‚hand made‘ databases you can execute the command from a instance in nomount state: CREATE DATABASE cdb1 ENABLE PLUGGABLE DATABASE …. And of course this can also be achieved through Enterprise Manager Cloud. A freshly created multitenant container database consists of two containers: the root container as the 'rack' and a seed container, a template for future pluggable databases. There are 4 ways to create other pluggable databases: 1. Create an empty pdb from seed 2. Plug in a non-CDB 3. Move a pdb from another pdb 4. Copy a pdb from another pdb We will discuss option2: how to plug in a non_CDB into a multitenant container database. Three different methods are available : 1. Create an empty pdb and use Datapump in traditional export/import mode or with Transportable Tablespace or Database mode. This method is suitable for pre 12c databases. 2. Create an empty pdb and use GoldenGate replication. When the pdb catches up with the non-CDB, you fail over to the pdb. 3. Databases of Version 12c or higher can be plugged in with the help of the new dbms_pdb Package. This is a demonstration for method 3: Step1: Connect to the non-CDB to be plugged in and create an xml File with description of the database. The xml file is written to $ORACLE_HOME/dbs per default and contains mainly information about the datafiles. Step 2: Check if the non-CDB is pluggable in the multitenant container database: Step 3: Create the pluggable database, connected to the Multitenant container database. With nocopy option the files will be reused, but the tempfile is created anew: A service is created and registered automatically with the listener: Step 4: Delete unnecessary metadata from PDB SYSTEM tablespace: To connect to newly created pdb, edit tnsnames.ora and add entry for new pdb. Connect to plugged-in non_CDB and clean up Data Dictionary to remove entries now maintained in multitenant container database. As all kept objects have to be recompiled it will take a few minutes. Step 5: The plugged-in database will be automatically synchronised by creating common users and roles when opened the first time in read write mode. Step 6: Verify tablespaces and users: There is only one local tablespace (users) and one local user (scott) in the plugged-in non_CDB pdb_orcl. This method of creating plugged_in non_CDB from is fast and easy for 12c databases. The method for deplugging a pluggable database from a CDB is to create a new non_CDB and use the the new full transportable feature of Datapump and drop the pluggable database. About the Author: Gerlinde has been working for Oracle University Germany as one of our Principal Instructors for over 14 years. She started with Oracle 7 and became an Oracle Certified Master for Oracle 10g and 11c. She is a specialist in Database Core Technologies, with profound knowledge in Backup & Recovery, Performance Tuning for DBAs and Application Developers, Datawarehouse Administration, Data Guard and Real Application Clusters.

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