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  • MySQL Database is Indexed at Apache Solr, How to access it via URL

    - by Wasim
    data-config.xml <dataConfig> <dataSource encoding="UTF-8" type="JdbcDataSource" driver="com.mysql.jdbc.Driver" url="jdbc:mysql://localhost:3306/somevisits" user="root" password=""/> <document name="somevisits"> <entity name="login" query="select * from login"> <field column="sv_id" name="sv_id" /> <field column="sv_username" name="sv_username" /> </entity> </document> </dataConfig> schema.xml <?xml version="1.0" encoding="UTF-8" ?> <schema name="example" version="1.5"> <fields> <field name="sv_id" type="string" indexed="true" stored="true" required="true" multiValued="false" /> <field name="username" type="string" indexed="true" stored="true" required="true"/> <field name="_version_" type="long" indexed="true" stored="true" multiValued="false"/> <field name="text" type="string" indexed="true" stored="false" multiValued="true"/> </fields> <uniqueKey>sv_id</uniqueKey> <types> <fieldType name="string" class="solr.StrField" sortMissingLast="true" /> <fieldType name="long" class="solr.TrieLongField" precisionStep="0" positionIncrementGap="0"/> </types> </schema> Solr successfully imported mysql database using full http://[localSolr]:8983/solr/#/collection1/dataimport?command=full-import My question is, how to access that mysql imported database now?

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  • Creating android app Database with big amount of data

    - by Thomas
    Hi all, The database of my application need to be filled with a lot of data, so during onCreate(), it's not only some create table sql instructions, there is a lot of inserts. The solution I chose is to store all this instructions in a sql file located in res/raw and which is loaded with Resources.openRawResource(id). It works well but I face to encoding issue, I have some accentuated caharacters in the sql file which appears bad in my application. This my code to do this : public String getFileContent(Resources resources, int rawId) throws IOException { InputStream is = resources.openRawResource(rawId); int size = is.available(); // Read the entire asset into a local byte buffer. byte[] buffer = new byte[size]; is.read(buffer); is.close(); // Convert the buffer into a string. return new String(buffer); } public void onCreate(SQLiteDatabase db) { try { // get file content String sqlCode = getFileContent(mCtx.getResources(), R.raw.db_create); // execute code for (String sqlStatements : sqlCode.split(";")) { db.execSQL(sqlStatements); } Log.v("Creating database done."); } catch (IOException e) { // Should never happen! Log.e("Error reading sql file " + e.getMessage(), e); throw new RuntimeException(e); } catch (SQLException e) { Log.e("Error executing sql code " + e.getMessage(), e); throw new RuntimeException(e); } The solution I found to avoid this is to load the sql instructions from a huge static final string instead of a file, and all accentutated characters appears well. But Isn't there a more elegant way to load sql instructions than a big static final String attribute with all sql instructions ? Thanks in advance Thomas

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  • Page URL and database organization.

    - by shurik2533
    I want that its name would be the page address. For example, if page has heading "Some Page", than its address should be http://somesite/some_page/. "some_page"-name generated by system automatically. "some_page" - is the unique identifier of page. The problem in that the user in the future can enter a name which already exists that will cause an error. It is necessary to find an optimum variant of the decision of a problem for great volumes of the data. I have solved a problem as follows: The page identifier in a database is the name of page and a suffix which is by default equal to zero. At page addition there is a check on existence. If such page does not exist, the suffix is equal 0 and its name is "some_page", if page is exist, than - search for the maximum number of a suffix and suffix=suffix+1 and page name become "some_page_1". For this I create in a database the compound key from fields "suffix" and "pageName": Table Pages suffix|pageName |pageTitle 0 |some_page |Some Page 1 |some_page |Some Page 0 |other_page|Other Page Addition of pages occurs through stored procedure: CREATE PROCEDURE addPage (pageNameVal VARCHAR(100), pageTitleVal VARCHAR(100)) BEGIN DECLARE v INT DEFAULT 0; SELECT MAX(suffix) FROM pages WHERE pageName=pageNameVal INTO v; IF v >= 0 THEN SET v = v + 1; ELSE SET v = 0; END IF; INSERT INTO pages (suffix, pageName) VALUES (pageNameVal, v, pageTitleVal); END; Whether there are more the best decisions?

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  • MYSQL - SImple database design

    - by sequelDesigner
    Hello guys, I would like to develop a system, where user will get the data dynamically(what I mean dynamic is, without reloading pages, using AJAX.. but well, it does not matter much). My situation is like this. I have this table, I called it "player", in this player table, I will store the player information like, player name, level, experience etc. Each player can have different clothes, start from tops(shirts), bottoms, shoes, and hairstyle, and each player can have more than 1 tops, bottoms, shoes etc. What I am hesitated or not very sure about is, how do you normally store the data? My current design is like this: Player Table =========================================================================================== id | name | (others player's info) | wearing | tops | bottoms =========================================================================================== 1 | player1 | | top=1;bottom=2;shoes=5;hair=8 | 1,2,3| 7,2,3 Tops Table ===================== id | name | etc... ===================== 1 | t-shirt | ... I am not sure if this design is good. If you are the database designer, how would you design the database? Or how you will store them? Please advise. Thanks

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  • insert multiple rows into database from arrays

    - by Mark
    Hi, i need some help with inserting multiple rows from different arrays into my database. I am making the database for a seating plan, for each seating block there is 5 rows (A-E) with each row having 15 seats. my DB rows are seat_id, seat_block, seat_row, seat_number, therefore i need to add 15 seat_numbers for each seat_row and 5 seat_rows for each seat_block. I mocked it up with some foreach loops but need some help turning it into an (hopefully single) SQL statement. $blocks = array("A","B","C","D"); $seat_rows = array("A","B","C","D","E"); $seat_nums = array("1","2","3","4","5","6","7","8","9","10","11","12","13","14","15"); foreach($blocks as $block){ echo "<br><br>"; echo "Block: " . $block . " - "; foreach($seat_rows as $rows){ echo "Row: " . $rows . ", "; foreach($seat_nums as $seats){ echo "seat:" . $seats . " "; } } } Maybe there's a better way of doing it instead of using arrays? i just want to avoid writing an SQL statement that is over 100 lines long ;) (im using codeigniter too if anyone knows of a CI specific way of doing it but im not too bothered about that)

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  • The best way to structure this database?

    - by James P
    At the moment I'm doing this: gems(id, name, colour, level, effects, source) id is the primary key and is not auto-increment. A typical row of data would look like this: id => 40153 name => Veiled Ametrine colour => Orange level => 80 effects => +12 sp, +10 hit source => Ametrine (Some of you gamers might see what I'm doing here :) ) But I realise this could be sorted a lot better. I have studied database relationships and secondary keys in my A-Level computing class but never got as far as to set one up properly. I just need help with how this database should be organised, like what tables should have what data with what secondary and foreign keys? I was thinking maybe 3 tables: gem, effects, source. Which then have relationships to each other? Can anyone shed some light on this? Is a complex way like I'm proposing really the way to go or should I just carry on with what I'm doing? Cheers.

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  • How to handle product ratings in a database

    - by Mel
    Hello, I would like to know what is the best approach to storing product ratings in a database. I have in mind the following two (simplified, and assuming a MySQL db) scenarios: Scenario 1: Create two columns in the product table to store number of votes and the sum of all votes. Use columns to get an average on the product display page: products(productedID, productName, voteCount, voteSum) Pros: I will only need to access one table, and thus execute one query to display product data and ratings. Cons: Write operations will be executed in a table whose original purpose is only to furnish product data. Scenario 2: Create an additional table to store ratings. products(productID, productName) ratings(productID, voteCount, voteSum) Pros: Isolate ratings into a separate table, leaving the products table to furnish data on available products. Cons: I will have to execute two separate queries on product page requests (one for data and another for ratings). In terms of performance, which of the following two approaches is best: Allow users to execute an occasional write query to a table that will handle hundreds of read requests? Execute two queries at every product page, but isolate the write query into a separate table. I'm a novice to database development, and often find myself struggling with simple questions such as these. Many thanks,

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  • Unaccounted for database size

    - by Nazadus
    I currently have a database that is 20GB in size. I've run a few scripts which show on each tables size (and other incredibly useful information such as index stuff) and the biggest table is 1.1 million records which takes up 150MB of data. We have less than 50 tables most of which take up less than 1MB of data. After looking at the size of each table I don't understand why the database shouldn't be 1GB in size after a shrink. The amount of available free space that SqlServer (2005) reports is 0%. The log mode is set to simple. At this point my main concern is I feel like I have 19GB of unaccounted for used space. Is there something else I should look at? Normally I wouldn't care and would make this a passive research project except this particular situation calls for us to do a backup and restore on a weekly basis to put a copy on a satellite (which has no internet, so it must be done manually). I'd much rather copy 1GB (or even if it were down to 5GB!) than 20GB of data each week. sp_spaceused reports the following: Navigator-Production 19184.56 MB 3.02 MB And the second part of it: 19640872 KB 19512112 KB 108184 KB 20576 KB while I've found a few other scripts (such as the one from two of the server database size questions here, they all report the same information either found above or below). The script I am using is from SqlTeam. Here is the header info: * BigTables.sql * Bill Graziano (SQLTeam.com) * graz@<email removed> * v1.11 The top few tables show this (table, rows, reserved space, data, index, unused, etc): Activity 1143639 131 MB 89 MB 41768 KB 1648 KB 46% 1% EventAttendance 883261 90 MB 58 MB 32264 KB 328 KB 54% 0% Person 113437 31 MB 15 MB 15752 KB 912 KB 103% 3% HouseholdMember 113443 12 MB 6 MB 5224 KB 432 KB 82% 4% PostalAddress 48870 8 MB 6 MB 2200 KB 280 KB 36% 3% The rest of the tables are either the same in size or smaller. No more than 50 tables. Update 1: - All tables use unique identifiers. Usually an int incremented by 1 per row. I've also re-indexed everything. I ran the dbcc shrink command as well as updating the usage before and after. And over and over. An interesting thing I found is that when I restarted the server and confirmed no one was using it (and no maintenance procs are running, this is a very new application -- under a week old) and when I went to run the shrink, every now and then it would say something about data changed. Googling yielded too few useful answers with the obvious not applying (it was 1am and I disconnected everyone, so it seems impossible that was really the case). The data was migrated via C# code which basically looked at another server and brought things over. The quantity of deletes, at this point in time, are probably under 50k in rows. Even if those rows were the biggest rows, that wouldn't be more than 100M I would imagine. When I go to shrink via the GUI it reports 0% available to shrink, indicating that I've already gotten it as small as it thinks it can go. Update 2: sp_spaceused 'Activity' yields this (which seems right on the money): Activity 1143639 134488 KB 91072 KB 41768 KB 1648 KB Fill factor was 90. All primary keys are ints. Here is the command I used to 'updateusage': DBCC UPDATEUSAGE(0); Update 3: Per Edosoft's request: Image 111975 2407773 19262184 It appears as though the image table believes it's the 19GB portion. I don't understand what this means though. Is it really 19GB or is it misrepresented? Update 4: Talking to a co-worker and I found out that it's because of the pages, as someone else here has also state the potential for that. The only index on the image table is a clustered PK. Is this something I can fix or do I just have to deal with it? The regular script shows the Image table to be 6MB in size. Update 5: I think I'm just going to have to deal with it after further research. The images have been resized to be roughly 2-5KB each and on a normal file system doesn't consume much space but on SqlServer it seems to consume considerably more. The real answer, in the long run, will likely be separating that table in to another partition or something similar.

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  • PostgreSQL lots of writes

    - by strife911
    Hi, I am using postgreSQL for a scientific application (unsupervised clustering). The python program is multi-threaded so that each thread manages its own postmaster process (one per core). Hence, their is a lot of concurrency. Each thread-process loop infinitely though two SQL queries. The first is for reading, the second is for writing. The read operation considers 500 time the amount of rows the write operation considers. Here is the output of dstat: ----total-cpu-usage---- ------memory-usage----- -dsk/total- --paging-- --io/total- usr sys idl wai hiq siq| used buff cach free| read writ| in out | read writ 4 0 32 64 0 0|3599M 63M 57G 1893M|1524k 16M| 0 0 | 98 2046 1 0 35 64 0 0|3599M 63M 57G 1892M|1204k 17M| 0 0 | 68 2062 2 0 32 66 0 0|3599M 63M 57G 1890M|1132k 17M| 0 0 | 62 2033 2 1 32 65 0 0|3599M 63M 57G 1904M|1236k 18M| 0 0 | 80 1994 2 0 31 67 0 0|3599M 63M 57G 1903M|1312k 16M| 0 0 | 70 1900 2 0 37 60 0 0|3599M 63M 57G 1899M|1116k 15M| 0 0 | 71 1594 2 1 37 60 0 0|3599M 63M 57G 1898M| 448k 17M| 0 0 | 39 2001 2 0 25 72 0 0|3599M 63M 57G 1896M|1192k 17M| 0 0 | 78 1946 1 0 40 58 0 0|3599M 63M 57G 1895M| 432k 15M| 0 0 | 38 1937 I am pretty sure I could write more often than that for I have seen it write up to 110-140M on dstat. How can I optimize this process?

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  • SQL Server 2005 jobs running twice in a row - using LiteSpeed

    - by Malnizzle
    Howdy! I have a SQL server (2005) backing up to a network share, who has a group of maintenance plans setup through LiteSpeed to backup different DBs. They were just set up to run two sub plans on different schedules for full/diff backups and did that just fine for a couple of months. Then I added "Clean Up" task to the subplans. Ever since that point, the backup creates another bak right after the first bak job is completed. I removed the clean up item from the subplan, and it still creates two baks when ran. Both the SQL Activity Monitor and the machine's windows application log show just one job being executed. I did this same thing to a couple of other servers backing up to the same location, and they are behaving correctly. Thoughts?

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  • How to warehouse data that is not needed from MS SQL server

    - by I__
    I have been asked to truncate a large table in MS SQL Server 2008. The data is not needed but might be needed once every two years. It will NEVER have to be changed, only viewed. The question is, since I don't need the data on a day-to-day basis, what do I do with it to protect and back it up? Please keep in mind that I will need to have it accessible maybe once every two years, and it is FINE for us if the recovery process takes a few hours. The entire table is about 3 million rows and I need to truncate it to about 1 million rows.

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  • PostgreSQL lots of large Arrays and Writes

    - by strife911
    Hi, I am running a python program that spawns 8 threads and as each thread launch its own postmaster process via psycopg2. This is to maximize the use of my CPU-cores (8). Each thread call a series of SQL Functions. Most of these functions go through many thousands of rows each associated to a large FLOAT8[] Array (250-300) values by using unnest() and multiplying each FLOAT8 by an another FLOAT8 associated to each row. This Array approach minimized the size of the Indexes and the Tables. The Function ends with an Insert into another Table of a row of the same form (pk INT4, array FLOAT8[]). Some SQL Functions called by python will Update a row of these kind of Tables (with large Arrays). Now I currently have configured PostgreSQL to use most of the memory for cache (effective_cache_size of 57 GB I think) and only a small amount of it for shared memory (1GB I think). First, I was wondering what the difference between Cache and Shared memory was in regards to PostgreSQL (and my application). What I have noticed is that only about 20-40% of my total CPU processing power is used during the most Read intensive parts of the application (Select unnest(array) etc). So secondly, I was wondering what I could do to improve this so that 100% of the CPU is used. Based on my observations, it does not seem to have anything to do with python or its GIL. Thanks

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  • Column locking in innodb?

    - by mingyeow
    I know this sounds weird, but apparently one of my columns is locked. select * from table where type_id = 1 and updated_at < '2010-03-14' limit 1; select * from table where type_id = 3 and updated_at < '2010-03-14' limit 10; the first one would not finish running, while the second one completes smoothly. the only difference is the type_id Thanks in advance for your help - i have an urgent data job to finish, and this problem is driving me crazy

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  • Maintenance Plan Reporting - Append To File - Clean Up?

    - by Adam J.R. Erickson
    Background: (SQL Server 2005, Standard Ed.) I have a maintenance plan running backups, taking a full backup 1/day, and t-log every 15 minutes. I have it set to create a text file report of each run, but that creates A LOT of files on the file server. These are hard to sort through, which makes them less useful. Question: There is an option in "Reporting and Logging" settings for appending all logs together, but how do you clean this out? If you're appending to the same log file every time, how should you make sure this file doesn't grow indefinitely? Is there a build-in function to clean out portions of appended logs like there is for cleaning out individual old log files?

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  • How do I restore a database on a remote SQL server 2005 from a local backup?

    - by MatsT
    I have been given access to (parts of) a remote SQL Server 2005 with SQL Server authentication in order to be able to make changes to a database without involving other people who is not working on the project. The database have been created on my local machine. Is there any way to restore the remote database from a backup file on my local computer? I do not currently have access to the filesystem on the remote server. EDIT: To clarify, the access I have is that i can log in to the server via the SQL Server Management Studio. I have one connection to my local database server and one connection to the remote server. What I basically want to do is copy the database from one connection to the other.

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  • How do I restore a database on a remote SQL server 2005 from a local backup?

    - by MatsT
    I have been given access to (parts of) a remote SQL Server 2005 with SQL Server authentication in order to be able to make changes to a database without involving other people who is not working on the project. The database have been created on my local machine. Is there any way to restore the remote database from a backup file on my local computer? I do not currently have access to the filesystem on the remote server. EDIT: To clarify, the access I have is that i can log in to the server via the SQL Server Management Studio. I have one connection to my local database server and one connection to the remote server. What I basically want to do is copy the database from one connection to the other.

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  • ft_stopword_file not picked up

    - by Alex Holsgrove
    I have a VPS server with a company called Webfusion. I want to remove some or all of the FULLTEXT stopwords because some specific words needs to be searchable with my DB content. I opened /etc/mysql/my.cnf and added the line ft_stopword_file="". I restarted the mysql service, ran a repair table and then tried my MATCH query with no success. I ran SHOW VARIABLES LIKE 'ft_%' and it simply shows (built-in) next to the stopword file. I am running WAMP on my workstation, and whilst I realise this isn't configured the same as a commercial VPS, the above method worked just fine. Couple someone please offer some guidance?

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  • Multiple columns in a single index versus multiple indexes

    - by Tim Coker
    The short version of my question is what's the difference between three indexes each indexing a single column and one index indexing three columns. Background follows. I'm primarily a programmer but have to do DBA work because we don't have a DBA. I'm evaluating our indexes versus the queries run against a particular table. The table as 3 columns that I'm often filtering against or getting the max value of. Most of the time the queries look like select max(col_a) from table where col_b = 'avalue' or select col_c from table where col_b = 'avalue' and col_a = 'anothervalue' All columns are independently indexed. My question is would I see any difference if I had an index that indexed col_b and col_a together since they can appear in a where clause together?

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  • What are the best tools for modeling a pre-existing SQL database structure?

    - by Ejoso
    I have a MS SQL database that has been running strong for 10+ years. I'd like to diagram the database structure, without spending hours laying it all out in Visio or something similar... I've seen nice models diagrammed before, but I have no idea how they were created. From what I've seen - those models were created in advance of the database itself to assist in clarifying the relationships... but my database already exists! Anyone have any suggestions for tools that would work, or methods I could employ to tease out a nice clean document describing my database structure? Thanks in advance!

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  • Looking for Firebird GUI

    - by EAMann
    I use phpMyAdmin to manage all of my MySQL databases and SQL Management Studio Express to manage my MS SQL databases. Now I need to start working with Firebird, and I'm looking for a tool along the lines of SQL Management Studio to manage those databases as well. I can be flexible with the UI and can learn a new system, so if there's something freely available that will do the trick but isn't quite the same as SQL management Studio I think I could adapt. Bottom line: What free tools are available that provide an in-depth GUI for Firebird?

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  • ?Oracle DB 11gR2 ?????????????????????????????????????!

    - by Yuichi.Hayashi
    Oracle Database????????????????????????????????????????????????????????????????????????·?????????????????????? ?????????/?????????????????????????????????????11g R2??????????????! ????????? Oracle Database?????????????????????????????????????CPU????·???????????????????????????????????????????????? ?????????????????????????????????????????????? ??????????????????????????????(?????????????·???????)????????????????????????????????????????????????????·?????????????????????????????????????????? ?????????????????????????????????????? ????11g R2??????????????????????????????????????????????? ????????????????? ???????????????????????????????Oracle?????????????????????????????????????? ???????????????????CPU????????????????????????????????????????! Oracle Database????????????????????????????? Oracle ?????? - ??(??), ??, ????? Database Smart Flash Cache Oracle Database??Hard Disk Drive(HDD)???????????????????????SQL??????????????????????????????????????????????????·?????·?????100%??????????????????????????????? ?????????????·??????????CPU????·???????????????????????????????????????????????????????????????????????????????????????????????????????????????????????(????·?????·????????)???????·??????????????????????????? HDD????????????????(???)?????????????????????HDD??IO?????????????????????????? ?????????Solid State Drive/Device(SSD)??? SSD?HDD??????????????????????????????????OLTP????????·??????????????????????????????????????????????????????SSD???????????????????????????? ???11g R2???????????SSD???????????Database Smart Flash Cache????????????Database Smart Flash Cache??????·???????????????????????????(Hot Data)?Oracle?????SSD??????????? ????????!?????????SSD????????????????????SSD????????????????????? SSD???????????????????????????????????? Database Smart Flash Cache?????????????????????? SSD???Oracle???: Database Smart Flash Cache - ??(??), ??, ????? ?????????? ? ???????????????/????????????????!? ? ???????????????????????????????????!?

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  • SQL SERVER – Weekend Project – Experimenting with ACID Transactions, SQL Compliant, Elastically Scalable Database

    - by pinaldave
    Database technology is huge and big world. I like to explore always beyond what I know and share the learning. Weekend is the best time when I sit around download random software on my machine which I like to call as a lab machine (it is a pretty old laptop, hardly a quality as lab machine) and experiment it. There are so many free betas available for download that it’s hard to keep track and even harder to find the time to play with very many of them.  This blog is about one you shouldn’t miss if you are interested in the learning various relational databases. NuoDB just released their Beta 7.  I had already downloaded their Beta 6 and yesterday did the same for 7.   My impression is that they are onto something very very interesting.  In fact, it might be something really promising in terms of database elasticity, scale and operational cost reduction. The folks at NuoDB say they are working on the world’s first “emergent” database which they tout as a brand new transitional database that is intended to dramatically change what’s possible with OLTP.  It is SQL compliant, guarantees ACID transactions, yet scales elastically on heterogeneous and decentralized cloud-based resources. Interesting note for sure, making me explore more. Based on what I’ve seen so far, they are solving the architectural challenge that exists between elastic, cloud-based compute infrastructures designed to scale out in response to workload requirements versus the traditional relational database management system’s architecture of central control. Here’s my experience with the NuoDB Beta 6 so far: First they pretty much threw away all the features you’d associate with existing RDBMS architectures except the SQL and ACID transactions which they were smart to keep.  It looks like they have incorporated a number of the big ideas from various algorithms, systems and techniques to achieve maximum DB scalability. From a user’s perspective, the NuoDB Beta software behaves like any other traditional SQL database and seems to offer all the benefits users have come to expect from standards-based SQL solutions. One of the interesting feature is that one can run a transactional node and a storage node on my Windows laptop as well on other platforms – indeed interesting for sure. It’s quite amazing to see a database elastically scale across machine boundaries. So, one of the basic NuoDB concepts is that as you need to scale out, you can easily use more inexpensive hardware when/where you need it.  This is unlike what we have traditionally done to scale a database for an application – we replace the hardware with something more powerful (faster CPU and Disks). This is where I started to feel like NuoDB is on to something that has the potential to elastically scale on commodity hardware while reducing operational expense for a big OLTP database to a degree we’ve never seen before. NuoDB is able to fully leverage the cloud in an asynchronous and highly decentralized manner – while providing both SQL compliance and ACID transactions. Basically what NuoDB is doing is so new that it is all hard to believe until you’ve experienced it in action.  I will keep you up to date as I test the NuoDB Beta 7 but if you are developing a web-scale application or have an on-premise app you are thinking of moving to the cloud, testing this beta is worth your time. If you do try it, let me know what you think.  Before I say anything more, I am going to do more experiments and more test on this product and compare it with other existing similar products. For me it was a weekend worth spent on learning something new. I encourage you to download Beta 7 version and share your opinions here. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: PostADay, SQL, SQL Authority, SQL Documentation, SQL Download, SQL Query, SQL Server, SQL Tips and Tricks, T SQL, Technology

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  • Normalisation and 'Anima notitia copia' (Soul of the Database)

    - by Phil Factor
    (A Guest Editorial for Simple-Talk) The other day, I was staring  at the sys.syslanguages  table in SQL Server with slightly-raised eyebrows . I’d just been reading Chris Date’s  interesting book ‘SQL and Relational Theory’. He’d made the point that you’re not necessarily doing relational database operations by using a SQL Database product.  The same general point was recently made by Dino Esposito about ASP.NET MVC.  The use of ASP.NET MVC doesn’t guarantee you a good application design: It merely makes it possible to test it. The way I’d describe the sentiment in both cases is ‘you can hit someone over the head with a frying-pan but you can’t call it cooking’. SQL enables you to create relational databases. However,  even if it smells bad, it is no crime to do hideously un-relational things with a SQL Database just so long as it’s necessary and you can tell the difference; not only that but also only if you’re aware of the risks and implications. Naturally, I’ve never knowingly created a database that Codd would have frowned at, but around the edges are interfaces and data feeds I’ve written  that have caused hissy fits amongst the Normalisation fundamentalists. Part of the problem for those who agonise about such things  is the misinterpretation of Atomicity.  An atomic value is one for which, in the strange virtual universe you are creating in your database, you don’t have any interest in any of its component parts.  If you aren’t interested in the electrons, neutrinos,  muons,  or  taus, then  an atom is ..er.. atomic. In the same way, if you are passed a JSON string or XML, and required to store it in a database, then all you need to do is to ask yourself, in your role as Anima notitia copia (Soul of the database) ‘have I any interest in the contents of this item of information?’.  If the answer is ‘No!’, or ‘nequequam! Then it is an atomic value, however complex it may be.  After all, you would never have the urge to store the pixels of images individually, under the misguided idea that these are the atomic values would you?  I would, of course,  ask the ‘Anima notitia copia’ rather than the application developers, since there may be more than one application, and the applications developers may be designing the application in the absence of full domain knowledge, (‘or by the seat of the pants’ as the technical term used to be). If, on the other hand, the answer is ‘sure, and we want to index the XML column’, then we may be in for some heavy XML-shredding sessions to get to store the ‘atomic’ values and ensure future harmony as the application develops. I went back to looking at the sys.syslanguages table. It has a months column with the months in a delimited list January,February,March,April,May,June,July,August,September,October,November,December This is an ordered list. Wicked? I seem to remember that this value, like shortmonths and days, is treated as a ‘thing’. It is merely passed off to an external  C++ routine in order to format a date in a particular language, and never accessed directly within the database. As far as the database is concerned, it is an atomic value.  There is more to normalisation than meets the eye.

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  • Backup SQL Database Federation

    - by Herve Roggero
    One of the amazing features of Windows Azure SQL Database is the ability to create federations in order to scale your cloud databases. However until now, there were very few options available to backup federated databases. In this post I will show you how Enzo Cloud Backup can help you backup, and restore your federated database easily. You can restore federated databases in SQL Database, or even on SQL Server (as regular databases). Generally speaking, you will need to perform the following steps to backup and restore the federations of a SQL Database: Backup the federation root Backup the federation members Restore the federation root Restore the federation members These actions can be automated using: the built-in scheduler of Enzo Cloud Backup, the command-line utilities, or the .NET Cloud Backup API provided, giving you complete control on how you want to perform your backup and restore operations. Backing up federations Let’s look at the tool to backup federations. You can explore your existing federations by using the Enzo Cloud Backup application as shown below. As you can see, the federation root and the various federations available are shown in separate tabs for convenience. You would first need to backup the federation root (unless you intend to restore the federation member on a local SQL Server database and you don’t need what’s in the federation root). The steps are similar than those to backup a federation member, so let’s proceed to backing up a federation member. You can click on a specific federation member to view the database details by clicking at the tab that contains your federation member. You can see the size currently consumed and a summary of its content at the bottom of the screen. If you right-click on a specific range, you can choose to backup the federation member. This brings up a window with the details of the federation member already filled out for you, including the value of the member that is used to select the federation member. Notice that the list of Federations includes “Federation Root”, which is what you need to select to backup the federation root (you can also do that directly from the root database tab).  Once you provide at least one backup destination, you can begin the backup operation.  From this window, you can also schedule this operation as a job and perform this operation entirely in the cloud. You can also “filter” the connection, so that only the specific member value is backed up (this will backup all the global tables, and only the records for which the distribution value is the one specified). You can repeat this operation for every federation member in your federation. Restoring Federations Once backed up, you can restore your federations easily. Select the backup device using the tool, then select Restore. The following window will appear. From here you can create a new root database. You can also view the backup properties, showing you exactly which federations will be created. Under the Federations tab, you can select how the federations will be created. I chose to recreate the federations and let the tool perform all the SPLIT operations necessary to recreate the same number of federation members. Other options include to create the first federation member only, or not to create the federation members at all. Once the root database has been restored and the federation members have been created, you can restore the federation members you previously backed up. The screen below shows you how to restore a backup of a federation member into a specific federation member (the details of the federation member are provided to make it easier to identify). Conclusion This post gave you an overview on how to backup and restore federation roots and federation members. The backup operations can be setup once, then scheduled daily.

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