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• ???????/??????????!? Oracle?? ??????????

  - by Yusuke.Yamamoto

  ????? ??:2010/12/08 ??:??????/?? ???? Oracle Database ??????????????????????????? Oracle Database ????????????Oracle Database ??????????????????????????????????????? Oracle Database ???/ Oracle Database ??????Oracle Database ???????Oracle Database ???/ ????????????Oracle Database ???????(??)/ ???????????????????????????????????? ????????? ????????????????? http://otndnld.oracle.co.jp/ondemand/otn-seminar/movie/Nyumon12081100.wmv http://www.oracle.com/technology/global/jp/ondemand/otn-seminar/pdf/1208_1100_Oracle_Beginner_architecture.pdf

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• Sqlite Database LEAK FOUND exception in android?

  - by androidbase

  hi all, i am getting this exception in database Leak Found my LOGCAT Shows this: 02-17 17:20:37.857: INFO/ActivityManager(58): Starting activity: Intent { cmp=com.example.brown/.Bru_Bears_Womens_View (has extras) } 02-17 17:20:38.477: DEBUG/dalvikvm(434): GC freed 1086 objects / 63888 bytes in 119ms 02-17 17:20:38.556: ERROR/Database(434): Leak found 02-17 17:20:38.556: ERROR/Database(434): java.lang.IllegalStateException: /data/data/com.example.brown/databases/BRUNEWS_DB_01.db SQLiteDatabase created and never closed 02-17 17:20:38.556: ERROR/Database(434): at android.database.sqlite.SQLiteDatabase.<init>(SQLiteDatabase.java:1694) 02-17 17:20:38.556: ERROR/Database(434): at android.database.sqlite.SQLiteDatabase.openDatabase(SQLiteDatabase.java:738) 02-17 17:20:38.556: ERROR/Database(434): at android.database.sqlite.SQLiteDatabase.openOrCreateDatabase(SQLiteDatabase.java:760) 02-17 17:20:38.556: ERROR/Database(434): at android.database.sqlite.SQLiteDatabase.openOrCreateDatabase(SQLiteDatabase.java:753) 02-17 17:20:38.556: ERROR/Database(434): at android.app.ApplicationContext.openOrCreateDatabase(ApplicationContext.java:473) 02-17 17:20:38.556: ERROR/Database(434): at android.content.ContextWrapper.openOrCreateDatabase(ContextWrapper.java:193) 02-17 17:20:38.556: ERROR/Database(434): at android.database.sqlite.SQLiteOpenHelper.getWritableDatabase(SQLiteOpenHelper.java:98) 02-17 17:20:38.556: ERROR/Database(434): at com.example.brown.Brown_Splash.onCreate(Brown_Splash.java:52) 02-17 17:20:38.556: ERROR/Database(434): at android.app.Instrumentation.callActivityOnCreate(Instrumentation.java:1047) 02-17 17:20:38.556: ERROR/Database(434): at android.app.ActivityThread.performLaunchActivity(ActivityThread.java:2459) 02-17 17:20:38.556: ERROR/Database(434): at android.app.ActivityThread.handleLaunchActivity(ActivityThread.java:2512) 02-17 17:20:38.556: ERROR/Database(434): at android.app.ActivityThread.access$2200(ActivityThread.java:119) 02-17 17:20:38.556: ERROR/Database(434): at android.app.ActivityThread$H.handleMessage(ActivityThread.java:1863) 02-17 17:20:38.556: ERROR/Database(434): at android.os.Handler.dispatchMessage(Handler.java:99) 02-17 17:20:38.556: ERROR/Database(434): at android.os.Looper.loop(Looper.java:123) 02-17 17:20:38.556: ERROR/Database(434): at android.app.ActivityThread.main(ActivityThread.java:4363) 02-17 17:20:38.556: ERROR/Database(434): at java.lang.reflect.Method.invokeNative(Native Method) 02-17 17:20:38.556: ERROR/Database(434): at java.lang.reflect.Method.invoke(Method.java:521) 02-17 17:20:38.556: ERROR/Database(434): at com.android.internal.os.ZygoteInit$MethodAndArgsCaller.run(ZygoteInit.java:860) 02-17 17:20:38.556: ERROR/Database(434): at com.android.internal.os.ZygoteInit.main(ZygoteInit.java:618) 02-17 17:20:38.556: ERROR/Database(434): at dalvik.system.NativeStart.main(Native Method) how can i solve it??? thanks in advance...

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• Distributed Database Services?

  - by Cameron

  I'm working on a database-driven web service with clients in the US and Australia. We're currently hosted in the US, however our Australian clients are experiencing lag. The lag is primarily due to the fact that the pages launch AJAX queries which require some db work to be done on our database in the US and these take a while to perform a round trip. Ideally, we're looking for some kind of distributed database system which replicates our main US database in Australia (and possibly other locations if we choose to expand later on). Does anyone have any suggestions for services which offer something like this? Something like a CDN (CacheFly etc), which is web-based, simple to set up etc but for databases instead of static files. Ideally it would be completely transparent to the application and abstract away all the distributed database management, syncs etc.

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• SQL SERVER – DBA or DBD? – Database Administrator or Database Developer

  - by pinaldave

  Earlier this month, I had poll on this blog where I asked question – Are you a Database Administrator or Database Developer? The word DBA (Database Administrator) is very common but DBD (Database Developer) is not common at all. This made me think – what is the ratio of the same. Here the result of the poll: Database Administrator 36.6% (254 votes) Database Developer 63.4% (440 votes) Total Votes: 694 This is open poll, if you want you can still participate here. Vote your Voice – DBD or DBA? I think it is the time when DBD word for Database Developer gets place in our dictionary. Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: Database, DBA, Pinal Dave, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, SQLServer, T SQL, Technology

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• Oracle Database 12c is available for download now!

  - by Mike Dietrich

  Good things come to those who wait ... finally ... Oracle Database 12c (Oracle 12.1.0.1) is available for download from the Oracle Software Cloud (formerly know as eDelivery) and OTN (Oracle Tech Network) for Linux 64bit (Solaris will follow within the next few hours): eDelivery:Oracle Database 12c (12.1.0.1) for Linux 64bitOracle Database 12c (12.1.0.1) for Solaris SPARC64Oracle Database 12c (12.1.0.1) for Solaris x86. OTN:Oracle Database 12c (12.1.0.1) for Linux 64bitOracle Database 12c (12.1.0.1) for Solaris SPARC64Oracle Database 12c (12.1.0.1) for Solaris x86  . And yes, it will be supported on Oracle Exadata and SuperCluster as well . . And with the release of Oracle Database 12c we are offering you also our NEWUpgrade, Migrate and Consolidate to Oracle Database 12cslide deck with (sorry, we've did it again!) over 500 slides covering: The brand new Parallel Upgrade including new Pre/Post-Upgrade-Fix-Ups The new Full Transportable Export/Import Feature Obviously Oracle Multitenant, which got talked about a lot as Pluggable Databases or Container Databases before Plenty of new parameters, cool and very helpful features and much more ... Download the slides Upgrade, Migrate and Consolidate to Oracle Database 12c And of course, the slide deck will see some updates in the near future -Mike . .

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• How can an SQL relational database be used to model a thesaurus? [closed]

  - by Miles O'Keefe

  I would like to design a web app that functions as a simple thesaurus: a long list of words with attributes, all of which are linked to each other. This thesaurus data model can be defined as: a controlled vocabulary arranged in a known order in which equivalence, hierarchical, and associative relationships among terms are clearly displayed and identified by standardized relationship indicators. My idea so far is to have one database in which every word is a table, and every table contains all words related to that word. e.g. Thesaurus(database) - happy(table) - excited(row)|cheerful(row)|lively(row) Is there are more efficient way to store words and their relationship to other words in a relational SQL database?

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• Unsigned versus signed numbers as indexes

  - by simendsjo

  Whats the rationale for using signed numbers as indexes in .Net? In Python, you can index from the end of an array by sending negative numbers, but this is not the case in .Net. It's not easy for .Net to add such a feature later as it could break other code perhaps using special rules (yeah, a bad idea, but I guess it happens) on indexing. Not that I have ever have needed to index arrays over 2,147,483,647 in size, but I really cannot understand why they choose signed numbers. Can it be because it's more normal to use signed numbers in code?

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• VB.NET Incrementing Indexes

  - by Daniel

  Hello, I am having trouble incrementing the indexes of my list item properties. Here is the code. Dim i As Integer = 0 For x As Integer = 1 To list.Count / 19 database.ExecuteCommand("INSERT INTO Contacts VALUES ('" + _ list.Item(i) + "', '" + _ list.Item(++i) + "', '" + _ list.Item(++i) + "', '" + _ list.Item(++i) + "', '" + _ list.Item(++i) + "', '" + _ list.Item(++i) + "', '" + _ list.Item(++i) + "', '" + _ list.Item(++i) + "', '" + _ list.Item(++i) + "', '" + _ list.Item(++i) + "', '" + _ list.Item(++i) + "', '" + _ list.Item(++i) + "', '" + _ list.Item(++i) + "', '" + _ list.Item(++i) + "', '" + _ list.Item(++i) + "', '" + _ list.Item(++i) + "', '" + _ list.Item(++i) + "', '" + _ list.Item(++i) + "', '" + _ list.Item(++i) + "')") Next The ++i does not increment at all in the parameters. Thanks

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• Database – Beginning with Cloud Database As A Service

  - by Pinal Dave

  I love my weekend projects. Everybody does different activities in their weekend – like traveling, reading or just nothing. Every weekend I try to do something creative and different in the database world. The goal is I learn something new and if I enjoy my learning experience I share with the world. This weekend, I decided to explore Cloud Database As A Service – Morpheus. In my career I have managed many databases in the cloud and I have good experience in managing them. I should highlight that today’s applications use multiple databases from SQL for transactions and analytics, NoSQL for documents, In-Memory for caching to Indexing for search.  Provisioning and deploying these databases often require extensive expertise and time.  Often these databases are also not deployed on the same infrastructure and can create unnecessary latency between the application layer and the databases.  Not to mention the different quality of service based on the infrastructure and the service provider where they are deployed. Moreover, there are additional problems that I have experienced with traditional database setup when hosted in the cloud: Database provisioning & orchestration Slow speed due to hardware issues Poor Monitoring Tools High network latency Now if you have a great software and expert network engineer, you can continuously work on above problems and overcome them. However, not every organization have the luxury to have top notch experts in the field. Now above issues are related to infrastructure, but there are a few more problems which are related to software/application as well. Here are the top three things which can be problems if you do not have application expert: Replication and Clustering Simple provisioning of the hard drive space Automatic Sharding Well, Morpheus looks like a product build by experts who have faced similar situation in the past. The product pretty much addresses all the pain points of developers and database administrators. What is different about Morpheus is that it offers a variety of databases from MySQL, MongoDB, ElasticSearch to Reddis as a service.  Thus users can pick and chose any combination of these databases.  All of them can be provisioned in a matter of minutes with a simple and intuitive point and click user interface.  The Morpheus cloud is built on Solid State Drives (SSD) and is designed for high-speed database transactions.  In addition it offers a direct link to Amazon Web Services to minimize latency between the application layer and the databases. Here are the few steps on how one can get started with Morpheus. Follow along with me.  First go to http://www.gomorpheus.com and register for a new and free account. Step 1: Signup It is very simple to signup for Morpheus. Step 2: Select your database   I use MySQL for my daily routine, so I have selected MySQL. Upon clicking on the big red button to add Instance, it prompted a dialogue of creating a new instance.   Step 3: Create User Now we just have to create a user in our portal which we will use to connect to a database hosted at Morpheus. Click on your database instance and it will bring you to User Screen. Over here you will notice once again a big red button to create a new user. I created a user with my first name.   Step 4: Configure your MySQL client I used MySQL workbench and connected to MySQL instance, which I had created with an IP address and user.   That’s it! You are connecting to MySQL instance. Now you can create your objects just like you would create on your local box. You will have all the features of the Morpheus when you are working with your database. Dashboard While working with Morpheus, I was most impressed with its dashboard. In future blog posts, I will write more about this feature.  Also with Morpheus you use the same process for provisioning and connecting with other databases: MongoDB, ElasticSearch and Reddis. Reference: Pinal Dave (http://blog.sqlauthority.com)Filed under: MySQL, PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL

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• SQL with Regular Expressions vs Indexes with Logical Merging Functions

  - by geeko

  Hello Lads, I am trying to develop a complex textual search engine. I have thousands of textual pages from many books. I need to search pages that contain specified complex logical criterias. These criterias can contain virtually any compination of the following: A: Full words. B: Word roots (semilar to stems; i.e. all words with certain key letters). C: Word templates (in some languages are filled in certain templates to form various part of speech such as adjactives, past/present verbs...). D: Logical connectives: AND/OR/XOR/NOT/IF/IFF and parentheses to state priorities. Now, would it be faster to have the pages' full text in database (not indexed) and search though them all using SQL and Regular Expressions ? Or would it be better to construct indexes of word/root/template-page-location tuples. Hence, we can boost searching for individual words/roots/templates. However, it gets tricky as we interdouce logical connectives into our query. I thought of doing the following steps in such cases: 1: Seperately search for each individual words/roots/templates in the specified query. 2: On priority bases, we merge two result lists (from step 1) at a time depedning on the logical connective For example, if we are searching for "he AND (is OR was)": 1: We shall search for "he", "is" and "was" seperately and get result lists for each word. 2: Merge the result lists of "is" and "was" using the merging function OR-MERGE 3: Merge the merged result list from the OR-MERGE function with the one of "he" using the merging function AND-MERGE The result of step 3 is then returned as the result of the specified query. What do you think gurues ? Which is faster ? Any better ideas ? Thank you all in advance.

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• Should database-models (conceptual or physical) be reviewed by DBAs?

  - by user61852

  Where I work, new applications that are being developed that will use their own relational database, must have their database-models (conceptual, then physical ) reviewed and aproved by DBAs. Things looked after are normalization, antipatterns, table and column naming standards, etc. Is this really a DBA's responsability to do this ? or should it be, in a greater extend, the responsability of app designers and architects ?

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• What would a database look like if it were normalized to be completely abstracted? lets call it Max(n) normal form

  - by Doug Chamberlain

  edit: By simplest form i was not implying that it would be easy to understand. For instance, developing in low level assembly language is the simplest way to can develop code, but it is far from the easiest. Essentially, what I am asking is in math you can simplify a fraction to a point where it can no longer be simplfied. Can the same be true for a database and what would a database look like in its simplest, form?

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• PostgreSQL 9.1 Database Replication Between Two Production Environments with Load Balancer

  - by littleK

  I'm investigating different solutions for database replication between two PostgreSQL 9.1 databases. The setup will include two production servers on the cloud (Amazon EC2 X-Large Instances), with an elastic load balancer. What is the typical database implementation for for this type of setup? A master-master replication (with Bucardo or rubyrep)? Or perhaps use only one shared database between the two environments, with a shared disk failover? I've been getting some ideas from http://www.postgresql.org/docs/9.0/static/different-replication-solutions.html. Since I don't have a lot of experience in database replication, I figured I would ask the experts. What would you recommend for the described setup?

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• text indexes vs integer indexes in mysql

  - by imanc

  Hey, I have always tried to have an integer primary key on a table no matter what. But now I am questioning if this is always necessary. Let's say I have a product table and each product has a globally unique SKU number - that would be a string of say 8-16 characters. Why not make this the PK? Typically I would make this field a unique index but then have an auto incrementing int field as the PK, as I assumed it would be faster, easier to maintain, and would allow me to do things like get the last 5 records added with ease. But in terms of optimisation, assuming I'd only ever be matching the full text field and next doing text matching queries (e.g. like %%) can you guys think of any reasons not to use a text based primary key, most likely of type varchar()? Cheers, imanc

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• How should I copy the "mysql" database to my new server using PHPMyAdmin

  - by undefined

  My new webhosting company has set up a MySQL database for me and it has the tables MySQL and Information_schema already there. I want to copy my existing database from another server (a) to the new one (b). I assume I need to overwrite the 'mysql' database on server (b) with the one from my existing server (a) or atleast copy over the permissions. 1) What information does the mysql database hold? users and permissions I can see, does it have the login info for phpMyAdmin? I dont want to overwrite that obviously. 2) Should I drop the table on server (b) and import my original? 3) Should I just copy the users table? 4) Do I need to worry about the information_schema table? should I copy this over too? thanks

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• MongoDB with OR and Range Indexes

  - by LMH

  I have a query: {"$query"=>{"user_id"=>"512f7960534dcda22b000491", "$or"=>[{"when_tz"=>{"$gte"=>2010-06-24 04:00:00 UTC, "$lt"=>2010-06-25 04:00:00 UTC}}, {"when_tz"=>{"$gte"=>2011-06-24 04:00:00 UTC, "$lt"=>2011-06-25 04:00:00 UTC}}, {"when_tz"=>{"$gte"=>2012-06-24 04:00:00 UTC, "$lt"=>2012-06-25 04:00:00 UTC}}], "_type"=>{"$in"=>["FacebookImageItem", "FoursquareImageItem", "InstagramItem", "TwitterImageItem", "Image"]}}, "$explain"=>true, "$orderby"=>{"when_tz"=>1}} And an index: { user_id: 1, _type: 1, when_tz: 1 } Explain: {"cursor"="BtreeCursor user_id_1__type_1_facebook_id_1 multi", "isMultiKey"=false, "n"=28, "nscannedObjects"=15094, "nscanned"=15098, "nscannedObjectsAllPlans"=181246, "nscannedAllPlans"=241553, "scanAndOrder"=true, "indexOnly"=false, "nYields"=12, "nChunkSkips"=0, "millis"=2869, "indexBounds"={"user_id"=[["512f7960534dcda22b000491", "512f7960534dcda22b000491"]], "_type"=[["FacebookImageItem", "FacebookImageItem"], ["FoursquareImageItem", "FoursquareImageItem"], ["Image", "Image"], ["InstagramItem", "InstagramItem"], ["TwitterImageItem", "TwitterImageItem"]], "facebook_id"=[[{"$minElement"=1}, {"$maxElement"=1}]]}, "allPlans"=[{"cursor"="BtreeCursor user_id_1__type_1_facebook_id_1 multi", "n"=28, "nscannedObjects"=15094, "nscanned"=15098, "indexBounds"={"user_id"=[["512f7960534dcda22b000491", "512f7960534dcda22b000491"]], "_type"=[["FacebookImageItem", "FacebookImageItem"], ["FoursquareImageItem", "FoursquareImageItem"], ["Image", "Image"], ["InstagramItem", "InstagramItem"], ["TwitterImageItem", "TwitterImageItem"]], "facebook_id"=[[{"$minElement"=1}, {"$maxElement"=1}]]}}, {"cursor"="BtreeCursor user_id_1__type_1_twitter_id_1 multi", "n"=28, "nscannedObjects"=15094, "nscanned"=15097, "indexBounds"={"user_id"=[["512f7960534dcda22b000491", "512f7960534dcda22b000491"]], "_type"=[["FacebookImageItem", "FacebookImageItem"], ["FoursquareImageItem", "FoursquareImageItem"], ["Image", "Image"], ["InstagramItem", "InstagramItem"], ["TwitterImageItem", "TwitterImageItem"]], "twitter_id"=[[{"$minElement"=1}, {"$maxElement"=1}]]}}, {"cursor"="BtreeCursor user_id_1__type_1_instagram_id_1 multi", "n"=28, "nscannedObjects"=15094, "nscanned"=15097, "indexBounds"={"user_id"=[["512f7960534dcda22b000491", "512f7960534dcda22b000491"]], "_type"=[["FacebookImageItem", "FacebookImageItem"], ["FoursquareImageItem", "FoursquareImageItem"], ["Image", "Image"], ["InstagramItem", "InstagramItem"], ["TwitterImageItem", "TwitterImageItem"]], "instagram_id"=[[{"$minElement"=1}, {"$maxElement"=1}]]}}, {"cursor"="BtreeCursor user_id_1__type_1_foursquare_id_1 multi", "n"=28, "nscannedObjects"=15094, "nscanned"=15097, "indexBounds"={"user_id"=[["512f7960534dcda22b000491", "512f7960534dcda22b000491"]], "_type"=[["FacebookImageItem", "FacebookImageItem"], ["FoursquareImageItem", "FoursquareImageItem"], ["Image", "Image"], ["InstagramItem", "InstagramItem"], ["TwitterImageItem", "TwitterImageItem"]], "foursquare_id"=[[{"$minElement"=1}, {"$maxElement"=1}]]}}, {"cursor"="BtreeCursor user_id_1_phash_1", "n"=21, "nscannedObjects"=15097, "nscanned"=15097, "indexBounds"={"user_id"=[["512f7960534dcda22b000491", "512f7960534dcda22b000491"]], "phash"=[[{"$minElement"=1}, {"$maxElement"=1}]]}}, {"cursor"="BtreeCursor user_id_1_aperature_1_shutter_speed_1_when_tz_1", "n"=25, "nscannedObjects"=35, "nscanned"=15097, "indexBounds"={"user_id"=[["512f7960534dcda22b000491", "512f7960534dcda22b000491"]], "aperature"=[[{"$minElement"=1}, {"$maxElement"=1}]], "shutter_speed"=[[{"$minElement"=1}, {"$maxElement"=1}]], "when_tz"=[[{"$minElement"=1}, {"$maxElement"=1}]]}}, {"cursor"="BtreeCursor user_id_1_image_hash_1", "n"=22, "nscannedObjects"=15097, "nscanned"=15097, "indexBounds"={"user_id"=[["512f7960534dcda22b000491", "512f7960534dcda22b000491"]], "image_hash"=[[{"$minElement"=1}, {"$maxElement"=1}]]}}, {"cursor"="BtreeCursor user_id_1_time_zone_guessed_1_when_tz_-1", "n"=23, "nscannedObjects"=32, "nscanned"=15097, "indexBounds"={"user_id"=[["512f7960534dcda22b000491", "512f7960534dcda22b000491"]], "time_zone_guessed"=[[{"$minElement"=1}, {"$maxElement"=1}]], "when_tz"=[[{"$maxElement"=1}, {"$minElement"=1}]]}}, {"cursor"="BtreeCursor user_id_1_time_zone_guessed_1_when_tz_1", "n"=24, "nscannedObjects"=33, "nscanned"=15097, "indexBounds"={"user_id"=[["512f7960534dcda22b000491", "512f7960534dcda22b000491"]], "time_zone_guessed"=[[{"$minElement"=1}, {"$maxElement"=1}]], "when_tz"=[[{"$minElement"=1}, {"$maxElement"=1}]]}}, {"cursor"="BtreeCursor user_id_1_time_zone_guessed_1_when_utc_-1", "n"=23, "nscannedObjects"=15097, "nscanned"=15097, "indexBounds"={"user_id"=[["512f7960534dcda22b000491", "512f7960534dcda22b000491"]], "time_zone_guessed"=[[{"$minElement"=1}, {"$maxElement"=1}]], "when_utc"=[[{"$maxElement"=1}, {"$minElement"=1}]]}}, {"cursor"="BtreeCursor user_id_1_time_zone_guessed_1_when_utc_1", "n"=24, "nscannedObjects"=15097, "nscanned"=15097, "indexBounds"={"user_id"=[["512f7960534dcda22b000491", "512f7960534dcda22b000491"]], "time_zone_guessed"=[[{"$minElement"=1}, {"$maxElement"=1}]], "when_utc"=[[{"$minElement"=1}, {"$maxElement"=1}]]}}, {"cursor"="BtreeCursor user_id_1_original_shared_item_id_1", "n"=24, "nscannedObjects"=15097, "nscanned"=15097, "indexBounds"={"user_id"=[["512f7960534dcda22b000491", "512f7960534dcda22b000491"]], "original_shared_item_id"=[[{"$minElement"=1}, {"$maxElement"=1}]]}}, {"cursor"="BtreeCursor user_id_1__type_1_s3_tmp_file_1 multi", "n"=28, "nscannedObjects"=15094, "nscanned"=15097, "indexBounds"={"user_id"=[["512f7960534dcda22b000491", "512f7960534dcda22b000491"]], "_type"=[["FacebookImageItem", "FacebookImageItem"], ["FoursquareImageItem", "FoursquareImageItem"], ["Image", "Image"], ["InstagramItem", "InstagramItem"], ["TwitterImageItem", "TwitterImageItem"]], "s3_tmp_file"=[[{"$minElement"=1}, {"$maxElement"=1}]]}}, {"cursor"="BtreeCursor user_id_1__type_1_processed_-1_uploaded_-1_image_device_1 multi", "n"=28, "nscannedObjects"=15094, "nscanned"=15097, "indexBounds"={"user_id"=[["512f7960534dcda22b000491", "512f7960534dcda22b000491"]], "_type"=[["FacebookImageItem", "FacebookImageItem"], ["FoursquareImageItem", "FoursquareImageItem"], ["Image", "Image"], ["InstagramItem", "InstagramItem"], ["TwitterImageItem", "TwitterImageItem"]], "processed"=[[{"$maxElement"=1}, {"$minElement"=1}]], "uploaded"=[[{"$maxElement"=1}, {"$minElement"=1}]], "image_device"=[[{"$minElement"=1}, {"$maxElement"=1}]]}}, {"cursor"="BtreeCursor user_id_1__type_1_when_tz_1 multi", "n"=28, "nscannedObjects"=28, "nscanned"=15097, "indexBounds"={"user_id"=[["512f7960534dcda22b000491", "512f7960534dcda22b000491"]], "_type"=[["FacebookImageItem", "FacebookImageItem"], ["FoursquareImageItem", "FoursquareImageItem"], ["Image", "Image"], ["InstagramItem", "InstagramItem"], ["TwitterImageItem", "TwitterImageItem"]], "when_tz"=[[{"$minElement"=1}, {"$maxElement"=1}]]}}, {"cursor"="BasicCursor", "n"=0, "nscannedObjects"=15097, "nscanned"=15097, "indexBounds"={}}], "server"=""} Any idea how to get it to hit the indexes?

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• Oracle Database 12c ????????(?????)

  - by OTN-J Master

  Oracle Database 12c????????????? ?????????????????????????????????????¦ ??????????????? ????????? Oracle Database 12c????OTN??? Oracle Database 12c???? ¦ Oracle Database 12c???????????????? Oracle Database 12c ?????? (PDF)¦ Oracle Database 12c???????????? ??????????????? Oracle Database 12c (??????????????) "Oracle Database 12c???"??????????????????? ??????NEC???????????????? ???????????????????????¦ Oracle Database 12c??????????????????? ???????????Oracle Database 12c ????? (PC/????????????!) ????????????????????????????? ?????????????????! Oracle Database 12c???????? (@IT /Database Expert) ??????Oracle Database 12c????????·?????????????????? (EnterpriseZine/DB Online) ??????????!Oracle Database 12c???? (EnterpriseZine/DB Online) ¦ Oracle Database 12c?????????????????????? ??????????Oracle Database 12c ?????!  (EnterpriseZine/DB Online) ¦ Oracle Database 12c???????????? ????????? OTN???????????????????????????????????????????? ?????????/??????? ~????????????????12c??????????!~ Oracle Database 12c????????!???????????? ¦ Oracle Database 12c??????????????????? Oracle University?? Oracle Database 12c: ?????? ¦ Oracle Database 12c?????????????????????????? ?????????????????? ¦ Oracle Database 12c????????????????? ?????????????????????????????????????????(??)???????????????????????????OTN Community(??????)?????????OTN Community??? ¦ Oracle Database 12c???????????????? 12c????????????????????????OTN????????????????Twitter(@oracletechnetjp)???????????????????????! ????????????????????????????Oracle Database 12c???????????????(?8???????????&??????????)????????

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• 2?????????????(Database??)

  - by rika.tokumichi

  ???????????OTN????????? ??????????????????????????????????????????????????????? ????????????????????????????????????????? ???Database??????????????2?????????????????????????????????? ??????????? 1?:Oracle SQL Developer 2.1 (2.1.0.63.73)?Download? 2?:Oracle Database 11g Release 1?Download? 3?:Oracle Database 10g Express Edition?Download? 4?:Oracle Database 10g Release 2?Download? 5?:Oracle Database 11g Release 2?Download? (????2?1?~2?28?) ??????1??2??????????! ?????TOP5?????????????????????????? ??12????????????????????????????? ???Oracle Database 11g Release2?????Grid Infrastructure???? ??Grid Infrastructure??????????Oracle Clusterware?Oracle Automatic Storage Management(ASM)???????? ??????·????????????????????????????????????????????? ????????????????????OTN???????????????????????????????? >?????:Oracle Database 11g R2?????Oracle VM???????????? ??10?30????????????Oracle VM Forum 2009????????????????2009?9?????????Oracle Database 11g Release 2??????????????????????????????????????????????????????????????????????????????????????????????????????? >???:???????????????????2(???????) ????????????????????????????????????????????????????????????????????????????2???????????(????????????????)????????????????????????????????????????????????????? >Oracle Database 11g Release 2???????? ?????????????????????????????????????????????????????????? ???????????

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• Users in database server or database tables

  - by Batcat

  Hi all, I came across an interesting issue about client server application design. We have this browser based management application where it has many users using the system. So obvisously within that application we have an user management module within it. I have always thought having an user table in the database to keep all the login details was good enough. However, a senior developer said user management should be done in the database server layer if not then is poorly designed. What he meant was, if a user wants to use the application then a user should be created in the user table AND in the database server as a user account as well. So if I have 50 users using my applications, then I should have 50 database server user logins. I personally think having just one user account in the database server for this database was enough. Just grant this user with the allowed privileges to operate all the necessary operation need by the application. The users that are interacting with the application should have their user accounts created and managed within the database table as they are more related to the application layer. I don't see and agree there is need to create a database server user account for every user created for the application in the user table. A single database server user should be enough to handle all the query sent by the application. Really hope to hear some suggestions / opinions and whether I'm missing something? performance or security issues? Thank you very much.

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• Oracle Database Smart Flash Cache: Only on Oracle Linux and Oracle Solaris

  - by sergio.leunissen

  Oracle Database Smart Flash Cache is a feature that was first introduced with Oracle Database 11g Release 2. Only available on Oracle Linux and Oracle Solaris, this feature increases the size of the database buffer cache without having to add RAM to the system. In effect, it acts as a second level cache on flash memory and will especially benefit read-intensive database applications. The Oracle Database Smart Flash Cache white paper concludes: Available at no additional cost, Database Smart Flash Cache on Oracle Solaris and Oracle Linux has the potential to offer considerable benefit to users of Oracle Database 11g Release 2 with disk-bound read-mostly or read-only workloads, through the simple addition of flash storage such as the Sun Storage F5100 Flash Array or the Sun Flash Accelerator F20 PCIe Card. Read the white paper.

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• Database Consolidation onto Private Clouds - updated for Oracle Database 12c

  - by B R Clouse

  One of our team's most popular white papers has been expanded and updated to discuss Oracle Database 12c.  Now available on our OTN page, the new version of Database Consolidation onto Private Clouds covers best practices for consolidation with pluggable databases that the new mulitenant architecture provides, and expanded information on the database and schema consolidation options.  These are the consolidation models the paper evaluates:   server  database  schema pluggable databases  Key considerations for consolidating workloads which the paper explores: Choosing a consolidation model How PDBs solve the IT complexity problem Isolation in consolidated environments Cloud pool design Complementary workloads Enterprise Manager 12c for consolidation planning and operations Many more white papers have been updated or are new for Oracle Database 12c. We'll continue to highlight those which tie directory to your journey to enterprise cloud.

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• SQL Server - Rebuilding Indexes

  - by Renso

  Goal: Rebuild indexes in SQL server. This can be done one at a time or with the example script below to rebuild all index for a specified table or for all tables in a given database. Why? The data in indexes gets fragmented over time. That means that as the index grows, the newly added rows to the index are physically stored in other sections of the allocated database storage space. Kind of like when you load your Christmas shopping into the trunk of your car and it is full you continue to load some on the back seat, in the same way some storage buffer is created for your index but once that runs out the data is then stored in other storage space and your data in your index is no longer stored in contiguous physical pages. To access the index the database manager has to "string together" disparate fragments to create the full-index and create one contiguous set of pages for that index. Defragmentation fixes that. What does the fragmentation affect?Depending of course on how large the table is and how fragmented the data is, can cause SQL Server to perform unnecessary data reads, slowing down SQL Server’s performance.Which index to rebuild?As a rule consider that when reorganize a table's clustered index, all other non-clustered indexes on that same table will automatically be rebuilt. A table can only have one clustered index.How to rebuild all the index for one table:The DBCC DBREINDEX command will not automatically rebuild all of the indexes on a given table in a databaseHow to rebuild all indexes for all tables in a given database:USE [myDB]    -- enter your database name hereDECLARE @tableName varchar(255)DECLARE TableCursor CURSOR FORSELECT table_name FROM information_schema.tablesWHERE table_type = 'base table'OPEN TableCursorFETCH NEXT FROM TableCursor INTO @tableNameWHILE @@FETCH_STATUS = 0BEGINDBCC DBREINDEX(@tableName,' ',90)     --a fill factor of 90%FETCH NEXT FROM TableCursor INTO @tableNameENDCLOSE TableCursorDEALLOCATE TableCursorWhat does this script do?Reindexes all indexes in all tables of the given database. Each index is filled with a fill factor of 90%. While the command DBCC DBREINDEX runs and rebuilds the indexes, that the table becomes unavailable for use by your users temporarily until the rebuild has completed, so don't do this during production  hours as it will create a shared lock on the tables, although it will allow for read-only uncommitted data reads; i.e.e SELECT.What is the fill factor?Is the percentage of space on each index page for storing data when the index is created or rebuilt. It replaces the fill factor when the index was created, becoming the new default for the index and for any other nonclustered indexes rebuilt because a clustered index is rebuilt. When fillfactor is 0, DBCC DBREINDEX uses the fill factor value last specified for the index. This value is stored in the sys.indexes catalog view. If fillfactor is specified, table_name and index_name must be specified. If fillfactor is not specified, the default fill factor, 100, is used.How do I determine the level of fragmentation?Run the DBCC SHOWCONTIG command. However this requires you to specify the ID of both the table and index being. To make it a lot easier by only requiring you to specify the table name and/or index you can run this script:DECLARE@ID int,@IndexID int,@IndexName varchar(128)--Specify the table and index namesSELECT @IndexName = ‘index_name’    --name of the indexSET @ID = OBJECT_ID(‘table_name’)  -- name of the tableSELECT @IndexID = IndIDFROM sysindexesWHERE id = @ID AND name = @IndexName--Show the level of fragmentationDBCC SHOWCONTIG (@id, @IndexID)Here is an example:DBCC SHOWCONTIG scanning 'Tickets' table...Table: 'Tickets' (1829581556); index ID: 1, database ID: 13TABLE level scan performed.- Pages Scanned................................: 915- Extents Scanned..............................: 119- Extent Switches..............................: 281- Avg. Pages per Extent........................: 7.7- Scan Density [Best Count:Actual Count].......: 40.78% [115:282]- Logical Scan Fragmentation ..................: 16.28%- Extent Scan Fragmentation ...................: 99.16%- Avg. Bytes Free per Page.....................: 2457.0- Avg. Page Density (full).....................: 69.64%DBCC execution completed. If DBCC printed error messages, contact your system administrator.What's important here?The Scan Density; Ideally it should be 100%. As time goes by it drops as fragmentation occurs. When the level drops below 75%, you should consider re-indexing.Here are the results of the same table and clustered index after running the script:DBCC SHOWCONTIG scanning 'Tickets' table...Table: 'Tickets' (1829581556); index ID: 1, database ID: 13TABLE level scan performed.- Pages Scanned................................: 692- Extents Scanned..............................: 87- Extent Switches..............................: 86- Avg. Pages per Extent........................: 8.0- Scan Density [Best Count:Actual Count].......: 100.00% [87:87]- Logical Scan Fragmentation ..................: 0.00%- Extent Scan Fragmentation ...................: 22.99%- Avg. Bytes Free per Page.....................: 639.8- Avg. Page Density (full).....................: 92.10%DBCC execution completed. If DBCC printed error messages, contact your system administrator.What's different?The Scan Density has increased from 40.78% to 100%; no fragmentation on the clustered index. Note that since we rebuilt the clustered index, all other index were also rebuilt.

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• Database Server Hardware components (order of importance), CPU speed VS CPU cache vs RAM vs DISK

  - by nulltorpedo

  I am new to database world and would like to know what are crucial hardware specs when it comes to database performance. I have searched the internet and found this so far (In order of decreasing importance): 1) Hard Disk: Get an SSD basically (much more IOPS than spinners) 2) Memory: Get as much as you can afford 3) CPU: For the same $ spent, prefer larger cache size over speed. Are these findings sensible? EDIT: I would like to focus on CPU speed VS CPU cache size. EDIT2: The database is used to store some combination of ints and int arrays with few text fields. There are a lot of Select queries looking for existing entries. If entry is not found, then insert it. I would say most of processing would be trying to find a match across a table with 200 columns and 20k rows. The insert statements are very few. EDIT3: Also, we have a lot of views (basically select queries).

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• SYS2 Scripts Updated – Scripts to monitor database backup, database space usage and memory grants now available

  - by Davide Mauri

  I’ve just released three new scripts of my “sys2” script collection that can be found on CodePlex: Project Page: http://sys2dmvs.codeplex.com/ Source Code Download: http://sys2dmvs.codeplex.com/SourceControl/changeset/view/57732 The three new scripts are the following sys2.database_backup_info.sql sys2.query_memory_grants.sql sys2.stp_get_databases_space_used_info.sql Here’s some more details: database_backup_info This script has been made to quickly check if and when backup was done. It will report the last full, differential and log backup date and time for each database. Along with these information you’ll also get some additional metadata that shows if a database is a read-only database and its recovery model: By default it will check only the last seven days, but you can change this value just specifying how many days back you want to check. To analyze the last seven days, and list only the database with FULL recovery model without a log backup select * from sys2.databases_backup_info(default) where recovery_model = 3 and log_backup = 0 To analyze the last fifteen days, and list only the database with FULL recovery model with a differential backup select * from sys2.databases_backup_info(15) where recovery_model = 3 and diff_backup = 1 I just love this script, I use it every time I need to check that backups are not too old and that t-log backup are correctly scheduled. query_memory_grants This is just a wrapper around sys.dm_exec_query_memory_grants that enriches the default result set with the text of the query for which memory has been granted or is waiting for a memory grant and, optionally, its execution plan stp_get_databases_space_used_info This is a stored procedure that list all the available databases and for each one the overall size, the used space within that size, the maximum size it may reach and the auto grow options. This is another script I use every day in order to be able to monitor, track and forecast database space usage. As usual feedbacks and suggestions are more than welcome!

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• Learn to use PHP and Python with Oracle Database

  - by christopher.jones

  The Oracle Learning Library has posted up the latest "Oracle By Example" labs giving an introduction to PHP & Python with the Oracle Database : Using PHP with Oracle Database 11g - a basic introduction Developing a PHP Web Application with Oracle Database 11g - a Zend Framework application using the NetBeans IDE Using Python With Oracle Database 11g - a basic introduction Using the Django Framework with Python and Oracle Database 11g - a basic web application

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